About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Opportunity We are seeking a talented and motivated Senior Software Development Engineer to join our Payments Products Development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence. Essential Functions: AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions. AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle. Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams. Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth. Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings. API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions. Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact. Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools. Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt. Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification. Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus. Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries. Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Self-driven, adaptable, and willing to work across technologies and programming languages. Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models. Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs. Ability to design, implement, and integrate AI components into larger enterprise systems. Familiarity with common robustness, reliability, security, and responsible-use considerations in AI systems. Experience working with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation techniques. Exposure to leading-edge areas such as machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns. Proficiency in front-end web development technologies such as React, Angular, and Node.js. Experience configuring build and deployment systems such as Docker, Jenkins, and Kubernetes. Expertise in multithreading, concurrency, and error handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing enterprise-scale components. Knowledge of version control, CI/CD pipelines, and best practices for application and ML model deployment. Working knowledge of distributed in-memory computing technologies such as Redis. Understanding of enterprise security, certificate management, and related practices. Hands-on experience with Jenkins and container deployment architecture. Experience with OAuth 2.0, SSO, and authentication methods or protocols. Expertise in application security, SSDLC, and cryptography fundamentals. Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations. Experience in the payments technology industry is a plus. The Skills You Bring: Energy and Experience: A growth mindset, curiosity about technology, and enthusiasm for challenging projects on a global scale. Challenge the Status Quo: Comfort pushing boundaries and exploring solutions beyond traditional approaches. Language Expertise: Expertise in one or more development languages such as Java, Python, Node.js, C#, or C++. AI Builder: Experience building and deploying Generative AI, conversational AI, RAG, machine learning, modern services, and web applications with quality and scalability. Critical AI Judgment: Ability to evaluate AI-generated code and recommendations, identify failure modes, and apply independent engineering judgment. Learner: A consistent drive to learn technologies such as GenAI, machine learning, Angular, React, Kubernetes, and Docker. Partnership: Experience collaborating with Product, Test, DevOps, Cybersecurity, and Agile/Scrum teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,100 to $204,000 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Opportunity We are seeking a talented and motivated Senior Software Development Engineer to join our Payments Products Development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence. Essential Functions: AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions. AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle. Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams. Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth. Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings. API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions. Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact. Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools. Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt. Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification. Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus. Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries. Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Self-driven, adaptable, and willing to work across technologies and programming languages. Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models. Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs. Ability to design, implement, and integrate AI components into larger enterprise systems. Familiarity with common robustness, reliability, security, and responsible-use considerations in AI systems. Experience working with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation techniques. Exposure to leading-edge areas such as machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns. Proficiency in front-end web development technologies such as React, Angular, and Node.js. Experience configuring build and deployment systems such as Docker, Jenkins, and Kubernetes. Expertise in multithreading, concurrency, and error handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing enterprise-scale components. Knowledge of version control, CI/CD pipelines, and best practices for application and ML model deployment. Working knowledge of distributed in-memory computing technologies such as Redis. Understanding of enterprise security, certificate management, and related practices. Hands-on experience with Jenkins and container deployment architecture. Experience with OAuth 2.0, SSO, and authentication methods or protocols. Expertise in application security, SSDLC, and cryptography fundamentals. Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations. Experience in the payments technology industry is a plus. The Skills You Bring: Energy and Experience: A growth mindset, curiosity about technology, and enthusiasm for challenging projects on a global scale. Challenge the Status Quo: Comfort pushing boundaries and exploring solutions beyond traditional approaches. Language Expertise: Expertise in one or more development languages such as Java, Python, Node.js, C#, or C++. AI Builder: Experience building and deploying Generative AI, conversational AI, RAG, machine learning, modern services, and web applications with quality and scalability. Critical AI Judgment: Ability to evaluate AI-generated code and recommendations, identify failure modes, and apply independent engineering judgment. Learner: A consistent drive to learn technologies such as GenAI, machine learning, Angular, React, Kubernetes, and Docker. Partnership: Experience collaborating with Product, Test, DevOps, Cybersecurity, and Agile/Scrum teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,100 to $204,000 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year. Lead Engineer Primary Skills AngularJS, JavaScript, CSS3, React JS, CI/CD Pipeline, Java, Hibernate, Oracle RDBMS, Kafka, Docker, Spring Core, Spring Boot, HTML5, Kubernetes, MySQL Specialization Java Fullstack with Microservices: Software Development Lead Job requirements Role: Full Stack Developer (React, GoLang, Python, Java, Node.js, AWS) Employment Type: Permanent W2 or Full Time Location: Boston, MA Must have Skills Frontend: - ReactJS Backend: - (Golang, Python, Java, Node.js) any 2-stack needed Cloud:- AWS Job Summary We are looking for a highly skilled Senior Full Stack Engineer to design, build, and scale customer-facing technology platforms. This role requires strong hands-on expertise across frontend and backend engineering, with the ability to deliver end-to-end solutions using modern web technologies, cloud-native services, APIs, microservices, and distributed systems. The ideal candidate brings strong engineering fundamentals, a product mindset, and the ability to independently solve complex technical problems in a collaborative, fast-paced environment. Key Responsibilities Design, build, and maintain scalable full-stack applications end to end - from frontend UI to backend services, APIs, and databases - using React, TypeScript, Go, Java, Python, and Node.js. Build and enhance RESTful APIs, gRPC/Thrift integrations, microservices, and distributed systems supporting business-critical workflows. Participate in architecture reviews, technical design discussions, and code reviews; drive engineering practices across coding standards, automated testing (incl. Cypress UI regression), security, observability, and CI/CD. Troubleshoot complex production issues and drive improvements to reliability, performance, and user experience. Contribute to cloud infrastructure and deployment automation across AWS-based environments. Mentor junior and mid-level engineers, and collaborate closely with product managers, architects, and designers to deliver high-quality software. Communicate technical decisions, risks, and trade-offs clearly to stakeholders and team members. Required Skills & Experience Technical Experience Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience, with 5+ years of hands-on, production-grade full-stack experience. Strong frontend (ReactJS, TypeScript, JavaScript, hooks, reusable UI components) and backend (Go, Java, Python, or Node.js) development building APIs, services, and integrations (REST, gRPC, Thrift; Koa). Solid understanding of system design, distributed systems, scalability, and performance optimization. Working knowledge of relational (PostgreSQL, MySQL, Aurora, RDS) and non-relational (MongoDB, DocumentDB, DynamoDB, Redis) databases. Hands-on AWS experience (ECS, Lambda, API Gateway, S3, CloudWatch, and similar services). Experience with Docker, CI/CD (CircleCI), Terraform, and modern DevOps practices. Experience writing unit, integration, and UI tests (Jest, Cypress, or similar). Agile/Scrum delivery experience with strong ownership across distributed, cross-time-zone teams. Familiarity with AI-assisted engineering tools (Gemini, Claude Code, GitHub Copilot) to boost productivity and code quality. Professional Skills Proven ability to independently own and deliver complex technical initiatives. Experience collaborating effectively within distributed and agile teams. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Experience mentoring engineers and driving technical excellence across teams. Nice to Have Skills Experience with Elasticsearch for search, analytics, and large-scale data retrieval. Knowledge of Thrift or similar RPC frameworks for service-to-service communication. Experience working within monorepo environments and large-scale frontend codebases. Familiarity with Bazel build systems. Infrastructure-as-Code experience using Terraform, AWS CDK, or CloudFormation. Experience contributing to shared UI component libraries and enterprise design systems. Exposure to event-driven architectures and messaging technologies such as Kafka or AWS EventBridge. Experience in real estate technology, marketplace platforms, or customer-facing SaaS products. $120,000 - $130,000 a year Know more about Brillio : PPE: Equal Employment Opportunity Declaration Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation. Know what it's like to work and grow at Brillio: Click here
09/25/2026
Full time
About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year. Lead Engineer Primary Skills AngularJS, JavaScript, CSS3, React JS, CI/CD Pipeline, Java, Hibernate, Oracle RDBMS, Kafka, Docker, Spring Core, Spring Boot, HTML5, Kubernetes, MySQL Specialization Java Fullstack with Microservices: Software Development Lead Job requirements Role: Full Stack Developer (React, GoLang, Python, Java, Node.js, AWS) Employment Type: Permanent W2 or Full Time Location: Boston, MA Must have Skills Frontend: - ReactJS Backend: - (Golang, Python, Java, Node.js) any 2-stack needed Cloud:- AWS Job Summary We are looking for a highly skilled Senior Full Stack Engineer to design, build, and scale customer-facing technology platforms. This role requires strong hands-on expertise across frontend and backend engineering, with the ability to deliver end-to-end solutions using modern web technologies, cloud-native services, APIs, microservices, and distributed systems. The ideal candidate brings strong engineering fundamentals, a product mindset, and the ability to independently solve complex technical problems in a collaborative, fast-paced environment. Key Responsibilities Design, build, and maintain scalable full-stack applications end to end - from frontend UI to backend services, APIs, and databases - using React, TypeScript, Go, Java, Python, and Node.js. Build and enhance RESTful APIs, gRPC/Thrift integrations, microservices, and distributed systems supporting business-critical workflows. Participate in architecture reviews, technical design discussions, and code reviews; drive engineering practices across coding standards, automated testing (incl. Cypress UI regression), security, observability, and CI/CD. Troubleshoot complex production issues and drive improvements to reliability, performance, and user experience. Contribute to cloud infrastructure and deployment automation across AWS-based environments. Mentor junior and mid-level engineers, and collaborate closely with product managers, architects, and designers to deliver high-quality software. Communicate technical decisions, risks, and trade-offs clearly to stakeholders and team members. Required Skills & Experience Technical Experience Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience, with 5+ years of hands-on, production-grade full-stack experience. Strong frontend (ReactJS, TypeScript, JavaScript, hooks, reusable UI components) and backend (Go, Java, Python, or Node.js) development building APIs, services, and integrations (REST, gRPC, Thrift; Koa). Solid understanding of system design, distributed systems, scalability, and performance optimization. Working knowledge of relational (PostgreSQL, MySQL, Aurora, RDS) and non-relational (MongoDB, DocumentDB, DynamoDB, Redis) databases. Hands-on AWS experience (ECS, Lambda, API Gateway, S3, CloudWatch, and similar services). Experience with Docker, CI/CD (CircleCI), Terraform, and modern DevOps practices. Experience writing unit, integration, and UI tests (Jest, Cypress, or similar). Agile/Scrum delivery experience with strong ownership across distributed, cross-time-zone teams. Familiarity with AI-assisted engineering tools (Gemini, Claude Code, GitHub Copilot) to boost productivity and code quality. Professional Skills Proven ability to independently own and deliver complex technical initiatives. Experience collaborating effectively within distributed and agile teams. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Experience mentoring engineers and driving technical excellence across teams. Nice to Have Skills Experience with Elasticsearch for search, analytics, and large-scale data retrieval. Knowledge of Thrift or similar RPC frameworks for service-to-service communication. Experience working within monorepo environments and large-scale frontend codebases. Familiarity with Bazel build systems. Infrastructure-as-Code experience using Terraform, AWS CDK, or CloudFormation. Experience contributing to shared UI component libraries and enterprise design systems. Exposure to event-driven architectures and messaging technologies such as Kafka or AWS EventBridge. Experience in real estate technology, marketplace platforms, or customer-facing SaaS products. $120,000 - $130,000 a year Know more about Brillio : PPE: Equal Employment Opportunity Declaration Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation. Know what it's like to work and grow at Brillio: Click here
Role Overview We are seeking an experienced Application Solution Architect to join our enterprise technology team. This role serves as a key bridge between business stakeholders and technical engineering teams, responsible for designing, assessing, and monitoring complex, scalable solutions. You will navigate a hybrid landscape of on-premises legacy banking systems and modern cloud-based platforms. The ideal candidate possesses a strong engineering background and a broad technical perspective, with the ability to lead the integration of disparate systems including Salesforce, core banking mainframes, and event-driven architectures like Kafka-to produce effective, sustainable business outcomes. Key Responsibilities Architecture Strategy: Define reference architectures, integration patterns, and data models to support retail banking use cases (e.g., account onboarding, KYC, loan origination). Solution Design: Lead high-level and detailed solution design, ensuring that new implementations align with existing enterprise standards and performance requirements. Integration & Ecosystem Management: Architect complex integrations between modern platforms (including Salesforce) and core on-premise banking systems, utilizing middleware, API gateways, and Kafka for event-driven data flows. Technical Oversight: Provide governance and technical oversight during the build and deployment cycles to ensure scalability, security, and the management of technical debt. Compliance & Risk: Partner with risk and audit teams to ensure all solutions comply with retail banking regulatory requirements, data lineage standards, and PII handling policies. Stakeholder Engagement: Translate complex business capabilities into actionable technical blueprints and provide executive-level architecture updates to facilitate decision-making. Required Qualifications/Skills Bachelor's degree in Computer Science, Information Technology, or related field 8+ years in enterprise IT architecture or senior engineering roles. Proven experience in the retail banking or financial services domain. Broad Architectural Expertise: Demonstrated ability to design solutions across diverse tech stacks, including on-premise legacy systems and modern cloud environments. Integration Proficiency: Hands-on experience with integration patterns, including event-driven architectures (e.g., Kafka), API-first strategies (REST/SOAP), and middleware implementation. Salesforce Familiarity: Working knowledge of the Salesforce ecosystem as part of a larger enterprise application landscape. Communication: Proven ability to lead cross-functional architecture initiatives and act as a subject matter expert in a structured, compliance-driven environment. Preferred Qualifications Experience with mainframe integration and data warehouse modernization. Relevant architectural certifications (e.g., TOGAF, AWS/Azure Solutions Architect, or Salesforce Application Architect). Experience in high-security, regulated environments requiring strict disaster recovery and business continuity planning. Location: Pittsburgh, PA About Techstra Solutions Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: Equal Employment Opportunity Statement Techstra Solutions is an equal opportunity employer. The Company makes its decisions on merit, and its policy of equal opportunity prohibits discrimination in all phases of the employment process, including, but not limited to, recruitment, hiring, promotion, selection, transfer, demotion, layoff, termination, compensation, benefits, and other terms and conditions of employment. The policy of equal opportunity applies without regard to race, color, creed, religion, gender, sexual orientation, gender identification, pregnancy, marital status, national origin, ancestry, age, disability that can reasonably be accommodated without undue hardship, military status, veteran status, genetic predisposition or carrier status, alienage or citizenship, domestic partnership status, arrest or conviction record, status as a victim of domestic violence, or any other protected categories under federal, state, or local law. The Company also prohibits discrimination or harassment based upon the perception that a person has, or is associated with a person who has, any of these characteristics.
09/25/2026
Full time
Role Overview We are seeking an experienced Application Solution Architect to join our enterprise technology team. This role serves as a key bridge between business stakeholders and technical engineering teams, responsible for designing, assessing, and monitoring complex, scalable solutions. You will navigate a hybrid landscape of on-premises legacy banking systems and modern cloud-based platforms. The ideal candidate possesses a strong engineering background and a broad technical perspective, with the ability to lead the integration of disparate systems including Salesforce, core banking mainframes, and event-driven architectures like Kafka-to produce effective, sustainable business outcomes. Key Responsibilities Architecture Strategy: Define reference architectures, integration patterns, and data models to support retail banking use cases (e.g., account onboarding, KYC, loan origination). Solution Design: Lead high-level and detailed solution design, ensuring that new implementations align with existing enterprise standards and performance requirements. Integration & Ecosystem Management: Architect complex integrations between modern platforms (including Salesforce) and core on-premise banking systems, utilizing middleware, API gateways, and Kafka for event-driven data flows. Technical Oversight: Provide governance and technical oversight during the build and deployment cycles to ensure scalability, security, and the management of technical debt. Compliance & Risk: Partner with risk and audit teams to ensure all solutions comply with retail banking regulatory requirements, data lineage standards, and PII handling policies. Stakeholder Engagement: Translate complex business capabilities into actionable technical blueprints and provide executive-level architecture updates to facilitate decision-making. Required Qualifications/Skills Bachelor's degree in Computer Science, Information Technology, or related field 8+ years in enterprise IT architecture or senior engineering roles. Proven experience in the retail banking or financial services domain. Broad Architectural Expertise: Demonstrated ability to design solutions across diverse tech stacks, including on-premise legacy systems and modern cloud environments. Integration Proficiency: Hands-on experience with integration patterns, including event-driven architectures (e.g., Kafka), API-first strategies (REST/SOAP), and middleware implementation. Salesforce Familiarity: Working knowledge of the Salesforce ecosystem as part of a larger enterprise application landscape. Communication: Proven ability to lead cross-functional architecture initiatives and act as a subject matter expert in a structured, compliance-driven environment. Preferred Qualifications Experience with mainframe integration and data warehouse modernization. Relevant architectural certifications (e.g., TOGAF, AWS/Azure Solutions Architect, or Salesforce Application Architect). Experience in high-security, regulated environments requiring strict disaster recovery and business continuity planning. Location: Pittsburgh, PA About Techstra Solutions Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: Equal Employment Opportunity Statement Techstra Solutions is an equal opportunity employer. The Company makes its decisions on merit, and its policy of equal opportunity prohibits discrimination in all phases of the employment process, including, but not limited to, recruitment, hiring, promotion, selection, transfer, demotion, layoff, termination, compensation, benefits, and other terms and conditions of employment. The policy of equal opportunity applies without regard to race, color, creed, religion, gender, sexual orientation, gender identification, pregnancy, marital status, national origin, ancestry, age, disability that can reasonably be accommodated without undue hardship, military status, veteran status, genetic predisposition or carrier status, alienage or citizenship, domestic partnership status, arrest or conviction record, status as a victim of domestic violence, or any other protected categories under federal, state, or local law. The Company also prohibits discrimination or harassment based upon the perception that a person has, or is associated with a person who has, any of these characteristics.
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You'll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products - all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. What You'll Do Collaborate with delivery leaders to scope technical solutions to operational problems Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions Iterate quickly based on real-time feedback from operators and clients Build reusable tooling and infrastructure that accelerates future deployments What We Need 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $180,000 - $264,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
09/25/2026
Full time
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You'll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products - all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. What You'll Do Collaborate with delivery leaders to scope technical solutions to operational problems Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions Iterate quickly based on real-time feedback from operators and clients Build reusable tooling and infrastructure that accelerates future deployments What We Need 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $180,000 - $264,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You'll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products - all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. What You'll Do Collaborate with delivery leaders to scope technical solutions to operational problems Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions Iterate quickly based on real-time feedback from operators and clients Build reusable tooling and infrastructure that accelerates future deployments What We Need 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $180,000 - $264,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
09/25/2026
Full time
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You'll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products - all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. What You'll Do Collaborate with delivery leaders to scope technical solutions to operational problems Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions Iterate quickly based on real-time feedback from operators and clients Build reusable tooling and infrastructure that accelerates future deployments What We Need 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $180,000 - $264,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity AI is rapidly transforming the world. Whether it's developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Team Our team is working to define the "canonical stack" for AI workflows, by solving the toughest problems in AI today: how to experiment, evaluate, understand and improve models or applications at scale in a responsible way. The product team has deep technical and strategic backgrounds from leading AI/ML companies (Uber, Cruise, Spotify, Apple) and experience shipping market leading platforms at scale. Working with this team is an opportunity to develop further as a PM leader in a rapidly growing space by collaborating with some of the best in class AI Engineers and Data Scientists in the industry. What You'll Do You will be owning, strategizing, and developing a large portion of Arize AI's core product roadmap. From ideation to creation, you will be involved in all stages of the product life cycle. You will be engaging with our customers directly to gather meaningful insight and feedback in order to create a world class product. You will be working cross functionally with internal and external stakeholders; including engineering, design, marketing, and sales to drive our product strategy into production. You will be responsible for communicating and integrating competitive analysis, usability research, and market analysis into product requirements. Utilize your understanding in AI/ML/CV or related technical space in order to contribute to Arize AI's main product offering. What We're Looking For 3-5+ years of relevant product management experience or previous AI/ML experience with strong product ownership in an AI-native company Previous engineering and/or tech lead experience Strong track record of building in a technical domain while shipping quickly and efficiently. Willingness to get your hands dirty with code! Experience and/or knowledge of working within machine learning, or data platforms and infrastructure. Experience working directly with customers and promoting community discussions in order to gather client feedback. Experience driving data-informed product strategy into production. Bonus Points, But Not Required Experience in API design Early startup experience Experience working with Figma or similar design tools The estimated annual salary for this role is between $200,000-$250,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
09/25/2026
Full time
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity AI is rapidly transforming the world. Whether it's developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Team Our team is working to define the "canonical stack" for AI workflows, by solving the toughest problems in AI today: how to experiment, evaluate, understand and improve models or applications at scale in a responsible way. The product team has deep technical and strategic backgrounds from leading AI/ML companies (Uber, Cruise, Spotify, Apple) and experience shipping market leading platforms at scale. Working with this team is an opportunity to develop further as a PM leader in a rapidly growing space by collaborating with some of the best in class AI Engineers and Data Scientists in the industry. What You'll Do You will be owning, strategizing, and developing a large portion of Arize AI's core product roadmap. From ideation to creation, you will be involved in all stages of the product life cycle. You will be engaging with our customers directly to gather meaningful insight and feedback in order to create a world class product. You will be working cross functionally with internal and external stakeholders; including engineering, design, marketing, and sales to drive our product strategy into production. You will be responsible for communicating and integrating competitive analysis, usability research, and market analysis into product requirements. Utilize your understanding in AI/ML/CV or related technical space in order to contribute to Arize AI's main product offering. What We're Looking For 3-5+ years of relevant product management experience or previous AI/ML experience with strong product ownership in an AI-native company Previous engineering and/or tech lead experience Strong track record of building in a technical domain while shipping quickly and efficiently. Willingness to get your hands dirty with code! Experience and/or knowledge of working within machine learning, or data platforms and infrastructure. Experience working directly with customers and promoting community discussions in order to gather client feedback. Experience driving data-informed product strategy into production. Bonus Points, But Not Required Experience in API design Early startup experience Experience working with Figma or similar design tools The estimated annual salary for this role is between $200,000-$250,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team Join the Home Screen team - the engineers behind Roku's home screen and Browse Surfaces, the experience that greets every Roku user when they turn on the TV. We ship to hundreds of millions of devices. Work spans SceneGraph / BrightScript UI, an evolving TypeScript SDK, and the cloud services that drive layout, content, and experiments. We move fast, own features end-to-end, and partner tightly with product, design, ML, ads, and cloud. About the role We're looking for a Senior Software Engineer who thrives across the full stack of the home screen: client UI frameworks, APIs, and cloud-backed experiences - and who treats agentic AI as a real engineering practice, not a buzzword. You'll ship user-facing surfaces, harden the services and contracts behind them, and build (or extend) agents, skills, and harnesses that make the team faster in production. You do not need to be a firmware or OS kernel engineer. Deep C++ or low-level OS work is a plus if you have it; the day-to-day bar is modern full-stack delivery on a constrained TV platform, plus proven agentic fluency. For California only - estimated annual base salary: $141,300 - $360,700. Compensation packages vary by candidate (skill set, certifications, location). Role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. How you will use AI at Roku At Roku, we don't just use AI - we work with it. Coding harnesses (Claude Code, Cursor, and similar), MCP servers, custom skills, and agent workflows are part of how this team ships. You should be able to drive an agent on an unfamiliar codebase, verify its output, and talk about what broke when you put multi-step agents on real systems. What you will be doing Design and ship home screen & Browse Surfaces features across SceneGraph / TypeScript UI and cloud-backed content and layout services Own features end-to-end: API contracts, client integration, experimentation (A/B), rollout, and production health Build and improve agentic tooling the team actually adopts - skills, harnesses, evals, triage/fix agents - not one-off demos Drive performance, memory, and reliability where it matters for TV clients and the services behind them Partner with UX, PM, ML, ads, and cloud engineering on AI-assisted and personalized experiences Mentor engineers; raise the bar on design reviews, agent-assisted code review, and delivery discipline We are excited if you have Core (this is the bar) 7+ years shipping production software, with real full stack ownership (UI + APIs/services), not frontend-only or backend-only Strong TypeScript and/or JavaScript, plus comfort in at least one of: BrightScript / SceneGraph, React (or similar component UI), Python, or Go Experience building cloud-integrated product surfaces (REST/GraphQL, event-driven updates, server-driven UI or remote config) Evidence of shipped agentic work others use: multi-step agents, tool/MCP integrations, RAG or eval loops, coding agents in a real workflow - come ready to show what it does and what failed Clear practice for staying accountable for code you did not hand-type (design-first, review gates, tests/evals) Collaboration across product, design, and multiple eng partners; comfort with ambiguity and phased rollouts Hybrid San Jose; strong written/async habits for US/UK collaboration Strong pluses (not required) C++, embedded, or consumer-electronics / TV SDK experience Linux debugging, multi-threading, or constrained-device performance work A/B / experimentation platforms, plugin or component-library architecture Prior work on home screen, browse, recommendations, or large-scale consumer clients How we interview Working fluently with AI tools is an explicit expectation. The loop includes a hands-on exercise on an unfamiliar codebase using the tools you'd normally reach for. We're watching how you approach a new problem - not whether you've memorized an API. Hybrid working Teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except where a role or office requires five days on site. What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .
09/25/2026
Full time
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team Join the Home Screen team - the engineers behind Roku's home screen and Browse Surfaces, the experience that greets every Roku user when they turn on the TV. We ship to hundreds of millions of devices. Work spans SceneGraph / BrightScript UI, an evolving TypeScript SDK, and the cloud services that drive layout, content, and experiments. We move fast, own features end-to-end, and partner tightly with product, design, ML, ads, and cloud. About the role We're looking for a Senior Software Engineer who thrives across the full stack of the home screen: client UI frameworks, APIs, and cloud-backed experiences - and who treats agentic AI as a real engineering practice, not a buzzword. You'll ship user-facing surfaces, harden the services and contracts behind them, and build (or extend) agents, skills, and harnesses that make the team faster in production. You do not need to be a firmware or OS kernel engineer. Deep C++ or low-level OS work is a plus if you have it; the day-to-day bar is modern full-stack delivery on a constrained TV platform, plus proven agentic fluency. For California only - estimated annual base salary: $141,300 - $360,700. Compensation packages vary by candidate (skill set, certifications, location). Role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. How you will use AI at Roku At Roku, we don't just use AI - we work with it. Coding harnesses (Claude Code, Cursor, and similar), MCP servers, custom skills, and agent workflows are part of how this team ships. You should be able to drive an agent on an unfamiliar codebase, verify its output, and talk about what broke when you put multi-step agents on real systems. What you will be doing Design and ship home screen & Browse Surfaces features across SceneGraph / TypeScript UI and cloud-backed content and layout services Own features end-to-end: API contracts, client integration, experimentation (A/B), rollout, and production health Build and improve agentic tooling the team actually adopts - skills, harnesses, evals, triage/fix agents - not one-off demos Drive performance, memory, and reliability where it matters for TV clients and the services behind them Partner with UX, PM, ML, ads, and cloud engineering on AI-assisted and personalized experiences Mentor engineers; raise the bar on design reviews, agent-assisted code review, and delivery discipline We are excited if you have Core (this is the bar) 7+ years shipping production software, with real full stack ownership (UI + APIs/services), not frontend-only or backend-only Strong TypeScript and/or JavaScript, plus comfort in at least one of: BrightScript / SceneGraph, React (or similar component UI), Python, or Go Experience building cloud-integrated product surfaces (REST/GraphQL, event-driven updates, server-driven UI or remote config) Evidence of shipped agentic work others use: multi-step agents, tool/MCP integrations, RAG or eval loops, coding agents in a real workflow - come ready to show what it does and what failed Clear practice for staying accountable for code you did not hand-type (design-first, review gates, tests/evals) Collaboration across product, design, and multiple eng partners; comfort with ambiguity and phased rollouts Hybrid San Jose; strong written/async habits for US/UK collaboration Strong pluses (not required) C++, embedded, or consumer-electronics / TV SDK experience Linux debugging, multi-threading, or constrained-device performance work A/B / experimentation platforms, plugin or component-library architecture Prior work on home screen, browse, recommendations, or large-scale consumer clients How we interview Working fluently with AI tools is an explicit expectation. The loop includes a hands-on exercise on an unfamiliar codebase using the tools you'd normally reach for. We're watching how you approach a new problem - not whether you've memorized an API. Hybrid working Teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except where a role or office requires five days on site. What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .
on a mission to unleash the power of content you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Job Title: Lead Software Engineer in Test Team: Global Quality Engineering Location: New York City, Los Angeles, San Francisco Overview Paramount Skydance Corp. is seeking a Staff Software Engineer in Test to design, architect, and deliver high-quality, scalable, and reliable automated testing solutions across our enterprise platforms. This senior technical role combines deep Java engineering expertise, advanced test automation, media/streaming domain knowledge, and modern CI/CD practices to accelerate quality, reduce risk, and ensure world-class customer experiences across CTV, SmartTV, mobile, and web. You will be a senior technical leader within the Global Quality Engineering (GQE) organization. You will use and enhance our existing departmental automation framework, define quality strategies, and mentor engineers across GQE to elevate testing maturity and engineering excellence. You will also drive AI-augmented development and testing practices using GitHub Copilot (in-IDE), Cursor, and similar tools. Key Responsibilities Automation Framework Architecture • Enhance and extend our existing Java-based departmental test automation framework supporting API, UI, Mobile, CTV/SmartTV, and integration testing; introduce reusable libraries, utilities, and patterns to improve stability and scale. • Establish scalable patterns for reusable test components, data management, assertions, parallelization, and distributed execution. • Integrate the framework deeply into CI/CD pipelines to support shift-left testing and continuous quality. AI-Augmented Quality Engineering • Champion AI-assisted development and testing using tools such as GitHub Copilot (IDE), Cursor, and LLM-based assistants to improve developer productivity, test authoring velocity, code reviews, and defect triage. • Apply prompt engineering and retrieval techniques to accelerate test case generation, log/telemetry summarization, video-quality anomaly detection, and root-cause analysis. • Evaluate and integrate functional AI capabilities that measurably reduce flakiness, false positives, and triage time within the existing framework. Media & Multi-Platform Quality • Expand automation coverage for video playback, streaming resiliency, DRM flows, SSAI/CSAI ad insertion, captions/subtitles, and content protection. • Validate QoE metrics (startup time, rebuffering ratio, frame drops, video/audio sync, error recovery) across Roku, Fire TV, Android TV/Google TV, Samsung Tizen, LG webOS, Apple TV, iOS/Android mobile apps, and modern web players. • Leverage media tooling such as ffmpeg/ffprobe, Charles/Fiddler, and player inspection APIs for diagnostics and validation. Quality Engineering Technical Leadership • Define technical strategy for automated testing across services, microservices, UIs, mobile apps, and OTT/CTV applications leveraging the departmental framework. • Ensure consistent adoption of engineering best practices, coding standards, and high-quality test development patterns. • Lead the evaluation and adoption of modern automation technologies and quality platforms. Cross Functional Collaboration • Partner with Video Engineering, Playback/Player, Ads/Monetization, CDN/Streaming Operations, and Platform teams to ensure robust validation of streaming experiences and ad workflows. • Collaborate with Product to ensure test coverage aligns to business priorities and quality goals. • Work closely with Platform and Data Engineering to support scalable test environments, quality data, and telemetry. Technical Execution • Design and implement complex automated test suites using Java, Selenium, Appium, JMeter, Locust, REST-Assured, TestNG/JUnit, and related tooling within the existing framework. • Build and optimize testing strategies including API/contract, integration, performance/reliability, and device-level testing for CTV/SmartTV, mobile, and web. • Diagnose and tackle issues related to automation reliability, environment instability, device fragmentation, and system integration. Required Qualifications • 7+ years of experience in software engineering or quality engineering with robust Java development expertise. • Demonstrated experience using and enhancing an existing enterprise/departmental automation framework. • Deep expertise in common test automation tools (Selenium, Appium, Playwright, REST-Assured, TestNG, JUnit, Maven/Gradle). • AI experience (must-have): hands-on use of AI-assisted development tools. This includes tools like Claude Code, GitHub Copilot (IDE), Cursor, or similar. Candidates should also have useful prompt engineering skills for code and tests. LLMs are leveraged for tasks such as generating tests, suggesting code reviews, summarizing logs, and speeding up triage. • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Argo, Spinnaker) and quality gates. • Proven experience testing media/streaming applications across CTV (Roku, Fire TV, Android TV/Google TV), SmartTV (Tizen/webOS), iOS/Android mobile, and web. • Hands-on validation of HLS/DASH, ABR, DRM, captions/subtitles, and QoE metrics. • Cloud experience (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). • Solid knowledge of software design patterns, data structures, and core engineering principles. Preferred Qualifications • Experience mentoring engineers or leading cross-functional automation initiatives. • Familiarity with observability and APM tools (Grafana, Prometheus, NewRelic, DataDog) and media telemetry(Conviva, MUX, NPAW etc). • Experience with contract testing (PACT), service virtualization, or synthetic media test data. • Exposure to CTV/SmartTV automation stacks and remote device labs. Key Competencies • Technical leadership - ability to guide teams and evolve automation coverage. • Quality mindset - commitment to reliability, maintainability, and continuous improvement. • AI fluency - judgment on where AI adds measurable value in testing. • Systems thinking - knowledge of distributed systems and complex media pipelines. • Ownership - ability to drive initiatives end-to-end with autonomy. Success Metrics • Increased automation coverage across CTV/SmartTV, mobile, and web; reduced manual regression. • Measurable reduction in escaped defects and media playback incidents. • Improved stability and reliability of automated pipelines and device runs. • Faster release cycles through scalable, AI-augmented automation. • Broad adoption and consistent usage of the GQE test framework across teams Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage. ADDITIONAL INFORMATION Hiring Salary Range: $124 000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: . click apply for full job details
09/25/2026
Full time
on a mission to unleash the power of content you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Job Title: Lead Software Engineer in Test Team: Global Quality Engineering Location: New York City, Los Angeles, San Francisco Overview Paramount Skydance Corp. is seeking a Staff Software Engineer in Test to design, architect, and deliver high-quality, scalable, and reliable automated testing solutions across our enterprise platforms. This senior technical role combines deep Java engineering expertise, advanced test automation, media/streaming domain knowledge, and modern CI/CD practices to accelerate quality, reduce risk, and ensure world-class customer experiences across CTV, SmartTV, mobile, and web. You will be a senior technical leader within the Global Quality Engineering (GQE) organization. You will use and enhance our existing departmental automation framework, define quality strategies, and mentor engineers across GQE to elevate testing maturity and engineering excellence. You will also drive AI-augmented development and testing practices using GitHub Copilot (in-IDE), Cursor, and similar tools. Key Responsibilities Automation Framework Architecture • Enhance and extend our existing Java-based departmental test automation framework supporting API, UI, Mobile, CTV/SmartTV, and integration testing; introduce reusable libraries, utilities, and patterns to improve stability and scale. • Establish scalable patterns for reusable test components, data management, assertions, parallelization, and distributed execution. • Integrate the framework deeply into CI/CD pipelines to support shift-left testing and continuous quality. AI-Augmented Quality Engineering • Champion AI-assisted development and testing using tools such as GitHub Copilot (IDE), Cursor, and LLM-based assistants to improve developer productivity, test authoring velocity, code reviews, and defect triage. • Apply prompt engineering and retrieval techniques to accelerate test case generation, log/telemetry summarization, video-quality anomaly detection, and root-cause analysis. • Evaluate and integrate functional AI capabilities that measurably reduce flakiness, false positives, and triage time within the existing framework. Media & Multi-Platform Quality • Expand automation coverage for video playback, streaming resiliency, DRM flows, SSAI/CSAI ad insertion, captions/subtitles, and content protection. • Validate QoE metrics (startup time, rebuffering ratio, frame drops, video/audio sync, error recovery) across Roku, Fire TV, Android TV/Google TV, Samsung Tizen, LG webOS, Apple TV, iOS/Android mobile apps, and modern web players. • Leverage media tooling such as ffmpeg/ffprobe, Charles/Fiddler, and player inspection APIs for diagnostics and validation. Quality Engineering Technical Leadership • Define technical strategy for automated testing across services, microservices, UIs, mobile apps, and OTT/CTV applications leveraging the departmental framework. • Ensure consistent adoption of engineering best practices, coding standards, and high-quality test development patterns. • Lead the evaluation and adoption of modern automation technologies and quality platforms. Cross Functional Collaboration • Partner with Video Engineering, Playback/Player, Ads/Monetization, CDN/Streaming Operations, and Platform teams to ensure robust validation of streaming experiences and ad workflows. • Collaborate with Product to ensure test coverage aligns to business priorities and quality goals. • Work closely with Platform and Data Engineering to support scalable test environments, quality data, and telemetry. Technical Execution • Design and implement complex automated test suites using Java, Selenium, Appium, JMeter, Locust, REST-Assured, TestNG/JUnit, and related tooling within the existing framework. • Build and optimize testing strategies including API/contract, integration, performance/reliability, and device-level testing for CTV/SmartTV, mobile, and web. • Diagnose and tackle issues related to automation reliability, environment instability, device fragmentation, and system integration. Required Qualifications • 7+ years of experience in software engineering or quality engineering with robust Java development expertise. • Demonstrated experience using and enhancing an existing enterprise/departmental automation framework. • Deep expertise in common test automation tools (Selenium, Appium, Playwright, REST-Assured, TestNG, JUnit, Maven/Gradle). • AI experience (must-have): hands-on use of AI-assisted development tools. This includes tools like Claude Code, GitHub Copilot (IDE), Cursor, or similar. Candidates should also have useful prompt engineering skills for code and tests. LLMs are leveraged for tasks such as generating tests, suggesting code reviews, summarizing logs, and speeding up triage. • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Argo, Spinnaker) and quality gates. • Proven experience testing media/streaming applications across CTV (Roku, Fire TV, Android TV/Google TV), SmartTV (Tizen/webOS), iOS/Android mobile, and web. • Hands-on validation of HLS/DASH, ABR, DRM, captions/subtitles, and QoE metrics. • Cloud experience (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). • Solid knowledge of software design patterns, data structures, and core engineering principles. Preferred Qualifications • Experience mentoring engineers or leading cross-functional automation initiatives. • Familiarity with observability and APM tools (Grafana, Prometheus, NewRelic, DataDog) and media telemetry(Conviva, MUX, NPAW etc). • Experience with contract testing (PACT), service virtualization, or synthetic media test data. • Exposure to CTV/SmartTV automation stacks and remote device labs. Key Competencies • Technical leadership - ability to guide teams and evolve automation coverage. • Quality mindset - commitment to reliability, maintainability, and continuous improvement. • AI fluency - judgment on where AI adds measurable value in testing. • Systems thinking - knowledge of distributed systems and complex media pipelines. • Ownership - ability to drive initiatives end-to-end with autonomy. Success Metrics • Increased automation coverage across CTV/SmartTV, mobile, and web; reduced manual regression. • Measurable reduction in escaped defects and media playback incidents. • Improved stability and reliability of automated pipelines and device runs. • Faster release cycles through scalable, AI-augmented automation. • Broad adoption and consistent usage of the GQE test framework across teams Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage. ADDITIONAL INFORMATION Hiring Salary Range: $124 000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: . click apply for full job details
on a mission to unleash the power of content you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Job Title: Lead Software Engineer in Test Team: Global Quality Engineering Location: New York City, Los Angeles, San Francisco Overview Paramount Skydance Corp. is seeking a Staff Software Engineer in Test to design, architect, and deliver high-quality, scalable, and reliable automated testing solutions across our enterprise platforms. This senior technical role combines deep Java engineering expertise, advanced test automation, media/streaming domain knowledge, and modern CI/CD practices to accelerate quality, reduce risk, and ensure world-class customer experiences across CTV, SmartTV, mobile, and web. You will be a senior technical leader within the Global Quality Engineering (GQE) organization. You will use and enhance our existing departmental automation framework, define quality strategies, and mentor engineers across GQE to elevate testing maturity and engineering excellence. You will also drive AI-augmented development and testing practices using GitHub Copilot (in-IDE), Cursor, and similar tools. Key Responsibilities Automation Framework Architecture • Enhance and extend our existing Java-based departmental test automation framework supporting API, UI, Mobile, CTV/SmartTV, and integration testing; introduce reusable libraries, utilities, and patterns to improve stability and scale. • Establish scalable patterns for reusable test components, data management, assertions, parallelization, and distributed execution. • Integrate the framework deeply into CI/CD pipelines to support shift-left testing and continuous quality. AI-Augmented Quality Engineering • Champion AI-assisted development and testing using tools such as GitHub Copilot (IDE), Cursor, and LLM-based assistants to improve developer productivity, test authoring velocity, code reviews, and defect triage. • Apply prompt engineering and retrieval techniques to accelerate test case generation, log/telemetry summarization, video-quality anomaly detection, and root-cause analysis. • Evaluate and integrate functional AI capabilities that measurably reduce flakiness, false positives, and triage time within the existing framework. Media & Multi-Platform Quality • Expand automation coverage for video playback, streaming resiliency, DRM flows, SSAI/CSAI ad insertion, captions/subtitles, and content protection. • Validate QoE metrics (startup time, rebuffering ratio, frame drops, video/audio sync, error recovery) across Roku, Fire TV, Android TV/Google TV, Samsung Tizen, LG webOS, Apple TV, iOS/Android mobile apps, and modern web players. • Leverage media tooling such as ffmpeg/ffprobe, Charles/Fiddler, and player inspection APIs for diagnostics and validation. Quality Engineering Technical Leadership • Define technical strategy for automated testing across services, microservices, UIs, mobile apps, and OTT/CTV applications leveraging the departmental framework. • Ensure consistent adoption of engineering best practices, coding standards, and high-quality test development patterns. • Lead the evaluation and adoption of modern automation technologies and quality platforms. Cross Functional Collaboration • Partner with Video Engineering, Playback/Player, Ads/Monetization, CDN/Streaming Operations, and Platform teams to ensure robust validation of streaming experiences and ad workflows. • Collaborate with Product to ensure test coverage aligns to business priorities and quality goals. • Work closely with Platform and Data Engineering to support scalable test environments, quality data, and telemetry. Technical Execution • Design and implement complex automated test suites using Java, Selenium, Appium, JMeter, Locust, REST-Assured, TestNG/JUnit, and related tooling within the existing framework. • Build and optimize testing strategies including API/contract, integration, performance/reliability, and device-level testing for CTV/SmartTV, mobile, and web. • Diagnose and tackle issues related to automation reliability, environment instability, device fragmentation, and system integration. Required Qualifications • 7+ years of experience in software engineering or quality engineering with robust Java development expertise. • Demonstrated experience using and enhancing an existing enterprise/departmental automation framework. • Deep expertise in common test automation tools (Selenium, Appium, Playwright, REST-Assured, TestNG, JUnit, Maven/Gradle). • AI experience (must-have): hands-on use of AI-assisted development tools. This includes tools like Claude Code, GitHub Copilot (IDE), Cursor, or similar. Candidates should also have useful prompt engineering skills for code and tests. LLMs are leveraged for tasks such as generating tests, suggesting code reviews, summarizing logs, and speeding up triage. • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Argo, Spinnaker) and quality gates. • Proven experience testing media/streaming applications across CTV (Roku, Fire TV, Android TV/Google TV), SmartTV (Tizen/webOS), iOS/Android mobile, and web. • Hands-on validation of HLS/DASH, ABR, DRM, captions/subtitles, and QoE metrics. • Cloud experience (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). • Solid knowledge of software design patterns, data structures, and core engineering principles. Preferred Qualifications • Experience mentoring engineers or leading cross-functional automation initiatives. • Familiarity with observability and APM tools (Grafana, Prometheus, NewRelic, DataDog) and media telemetry(Conviva, MUX, NPAW etc). • Experience with contract testing (PACT), service virtualization, or synthetic media test data. • Exposure to CTV/SmartTV automation stacks and remote device labs. Key Competencies • Technical leadership - ability to guide teams and evolve automation coverage. • Quality mindset - commitment to reliability, maintainability, and continuous improvement. • AI fluency - judgment on where AI adds measurable value in testing. • Systems thinking - knowledge of distributed systems and complex media pipelines. • Ownership - ability to drive initiatives end-to-end with autonomy. Success Metrics • Increased automation coverage across CTV/SmartTV, mobile, and web; reduced manual regression. • Measurable reduction in escaped defects and media playback incidents. • Improved stability and reliability of automated pipelines and device runs. • Faster release cycles through scalable, AI-augmented automation. • Broad adoption and consistent usage of the GQE test framework across teams Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage. ADDITIONAL INFORMATION Hiring Salary Range: $124 000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: . click apply for full job details
09/25/2026
Full time
on a mission to unleash the power of content you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Job Title: Lead Software Engineer in Test Team: Global Quality Engineering Location: New York City, Los Angeles, San Francisco Overview Paramount Skydance Corp. is seeking a Staff Software Engineer in Test to design, architect, and deliver high-quality, scalable, and reliable automated testing solutions across our enterprise platforms. This senior technical role combines deep Java engineering expertise, advanced test automation, media/streaming domain knowledge, and modern CI/CD practices to accelerate quality, reduce risk, and ensure world-class customer experiences across CTV, SmartTV, mobile, and web. You will be a senior technical leader within the Global Quality Engineering (GQE) organization. You will use and enhance our existing departmental automation framework, define quality strategies, and mentor engineers across GQE to elevate testing maturity and engineering excellence. You will also drive AI-augmented development and testing practices using GitHub Copilot (in-IDE), Cursor, and similar tools. Key Responsibilities Automation Framework Architecture • Enhance and extend our existing Java-based departmental test automation framework supporting API, UI, Mobile, CTV/SmartTV, and integration testing; introduce reusable libraries, utilities, and patterns to improve stability and scale. • Establish scalable patterns for reusable test components, data management, assertions, parallelization, and distributed execution. • Integrate the framework deeply into CI/CD pipelines to support shift-left testing and continuous quality. AI-Augmented Quality Engineering • Champion AI-assisted development and testing using tools such as GitHub Copilot (IDE), Cursor, and LLM-based assistants to improve developer productivity, test authoring velocity, code reviews, and defect triage. • Apply prompt engineering and retrieval techniques to accelerate test case generation, log/telemetry summarization, video-quality anomaly detection, and root-cause analysis. • Evaluate and integrate functional AI capabilities that measurably reduce flakiness, false positives, and triage time within the existing framework. Media & Multi-Platform Quality • Expand automation coverage for video playback, streaming resiliency, DRM flows, SSAI/CSAI ad insertion, captions/subtitles, and content protection. • Validate QoE metrics (startup time, rebuffering ratio, frame drops, video/audio sync, error recovery) across Roku, Fire TV, Android TV/Google TV, Samsung Tizen, LG webOS, Apple TV, iOS/Android mobile apps, and modern web players. • Leverage media tooling such as ffmpeg/ffprobe, Charles/Fiddler, and player inspection APIs for diagnostics and validation. Quality Engineering Technical Leadership • Define technical strategy for automated testing across services, microservices, UIs, mobile apps, and OTT/CTV applications leveraging the departmental framework. • Ensure consistent adoption of engineering best practices, coding standards, and high-quality test development patterns. • Lead the evaluation and adoption of modern automation technologies and quality platforms. Cross Functional Collaboration • Partner with Video Engineering, Playback/Player, Ads/Monetization, CDN/Streaming Operations, and Platform teams to ensure robust validation of streaming experiences and ad workflows. • Collaborate with Product to ensure test coverage aligns to business priorities and quality goals. • Work closely with Platform and Data Engineering to support scalable test environments, quality data, and telemetry. Technical Execution • Design and implement complex automated test suites using Java, Selenium, Appium, JMeter, Locust, REST-Assured, TestNG/JUnit, and related tooling within the existing framework. • Build and optimize testing strategies including API/contract, integration, performance/reliability, and device-level testing for CTV/SmartTV, mobile, and web. • Diagnose and tackle issues related to automation reliability, environment instability, device fragmentation, and system integration. Required Qualifications • 7+ years of experience in software engineering or quality engineering with robust Java development expertise. • Demonstrated experience using and enhancing an existing enterprise/departmental automation framework. • Deep expertise in common test automation tools (Selenium, Appium, Playwright, REST-Assured, TestNG, JUnit, Maven/Gradle). • AI experience (must-have): hands-on use of AI-assisted development tools. This includes tools like Claude Code, GitHub Copilot (IDE), Cursor, or similar. Candidates should also have useful prompt engineering skills for code and tests. LLMs are leveraged for tasks such as generating tests, suggesting code reviews, summarizing logs, and speeding up triage. • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Argo, Spinnaker) and quality gates. • Proven experience testing media/streaming applications across CTV (Roku, Fire TV, Android TV/Google TV), SmartTV (Tizen/webOS), iOS/Android mobile, and web. • Hands-on validation of HLS/DASH, ABR, DRM, captions/subtitles, and QoE metrics. • Cloud experience (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). • Solid knowledge of software design patterns, data structures, and core engineering principles. Preferred Qualifications • Experience mentoring engineers or leading cross-functional automation initiatives. • Familiarity with observability and APM tools (Grafana, Prometheus, NewRelic, DataDog) and media telemetry(Conviva, MUX, NPAW etc). • Experience with contract testing (PACT), service virtualization, or synthetic media test data. • Exposure to CTV/SmartTV automation stacks and remote device labs. Key Competencies • Technical leadership - ability to guide teams and evolve automation coverage. • Quality mindset - commitment to reliability, maintainability, and continuous improvement. • AI fluency - judgment on where AI adds measurable value in testing. • Systems thinking - knowledge of distributed systems and complex media pipelines. • Ownership - ability to drive initiatives end-to-end with autonomy. Success Metrics • Increased automation coverage across CTV/SmartTV, mobile, and web; reduced manual regression. • Measurable reduction in escaped defects and media playback incidents. • Improved stability and reliability of automated pipelines and device runs. • Faster release cycles through scalable, AI-augmented automation. • Broad adoption and consistent usage of the GQE test framework across teams Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage. ADDITIONAL INFORMATION Hiring Salary Range: $124 000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: . click apply for full job details
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
09/25/2026
Full time
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
09/25/2026
Full time
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
09/25/2026
Full time
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
09/25/2026
Full time
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across distributed systems at large scale and with low latency. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation, and Inference Platform that powers the entire landscape, which we continuously evolve over time. About the role We are seeking a talented and experienced Senior Software Engineer, MLOps/DevOps, to join the Advertising Performance team and play a critical role in supporting and scaling our Machine Learning infrastructure. The ideal candidate has a strong background in DevOps/SRE practices, cloud infrastructure management, and MLOps tooling - with a passion for building platforms that accelerate ML experimentation and deployment at internet scale. You will partner closely with ML Scientists and Engineers to streamline the end-to-end ML lifecycle across training, evaluation, deployment, and monitoring - on top of a modern, cloud-native stack running on GCP and AWS using Kubernetes, Apache Airflow, Spark, Ray, MLflow, Chronon, etc. For California Only - The estimated annual salary for this position is between $148,750 - $361,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. What you'll be doing Lead the design and operation of scalable, production-grade cloud infrastructure for ML workloads across AWS and GCP, including GPU/TPU-based training and inference environments Architect and improve CI/CD systems for ML models and platform services to enable fast, reliable, and safe production releases Own and evolve low-latency infrastructure for real-time model inference, including KV store and vector databases Define and enforce observability standards for ML systems, including model performance monitoring, drift detection, capacity planning, and pipeline health metrics Participate in on-call rotation, leading incident response and root-cause analysis for critical ML training and serving infrastructure Partner with data scientists and ML engineers to improve platform usability, accelerate model iteration, and implement strong MLOps and SRE best practices Champion operational excellence across ML infrastructure through automation, resilience engineering, disaster recovery planning, and continuous improvement We're excited if you have BS or MS in Computer Science, Engineering, or a related quantitative field Ability to demonstrate AI tool (Claude, Cursor, ChatGPT etc.) coding efficiency at an advanced skill level 8+ years of experience in DevOps, SRE, or ML infrastructure, including 4+ years supporting large-scale ML or AI systems Strong programming skills in Python, and/or Scala, or Java for platform automation and tooling Deep experience with Kubernetes and container orchestration on GCP (GKE) and/or AWS (EKS) Expertise with NoSQL or low-latency data stores such as Aerospike or similar technologies Hands-on experience with data and orchestration technologies such as Apache Spark, Apache Flink, Apache Airflow, and Kafka Experience building and maintaining CI/CD systems using tools such as Jenkins or GitLab Runner Familiarity with feature engineering platforms such as Chronon and model lifecycle tools such as MLflow Strong infrastructure-as-code experience with Terraform or similar tooling Experience with observability platforms such as Prometheus, Grafana, and Datadog Excellent communication and cross-functional collaboration skills Experience in the Advertising domain is a plus What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .
09/25/2026
Full time
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across distributed systems at large scale and with low latency. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation, and Inference Platform that powers the entire landscape, which we continuously evolve over time. About the role We are seeking a talented and experienced Senior Software Engineer, MLOps/DevOps, to join the Advertising Performance team and play a critical role in supporting and scaling our Machine Learning infrastructure. The ideal candidate has a strong background in DevOps/SRE practices, cloud infrastructure management, and MLOps tooling - with a passion for building platforms that accelerate ML experimentation and deployment at internet scale. You will partner closely with ML Scientists and Engineers to streamline the end-to-end ML lifecycle across training, evaluation, deployment, and monitoring - on top of a modern, cloud-native stack running on GCP and AWS using Kubernetes, Apache Airflow, Spark, Ray, MLflow, Chronon, etc. For California Only - The estimated annual salary for this position is between $148,750 - $361,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. What you'll be doing Lead the design and operation of scalable, production-grade cloud infrastructure for ML workloads across AWS and GCP, including GPU/TPU-based training and inference environments Architect and improve CI/CD systems for ML models and platform services to enable fast, reliable, and safe production releases Own and evolve low-latency infrastructure for real-time model inference, including KV store and vector databases Define and enforce observability standards for ML systems, including model performance monitoring, drift detection, capacity planning, and pipeline health metrics Participate in on-call rotation, leading incident response and root-cause analysis for critical ML training and serving infrastructure Partner with data scientists and ML engineers to improve platform usability, accelerate model iteration, and implement strong MLOps and SRE best practices Champion operational excellence across ML infrastructure through automation, resilience engineering, disaster recovery planning, and continuous improvement We're excited if you have BS or MS in Computer Science, Engineering, or a related quantitative field Ability to demonstrate AI tool (Claude, Cursor, ChatGPT etc.) coding efficiency at an advanced skill level 8+ years of experience in DevOps, SRE, or ML infrastructure, including 4+ years supporting large-scale ML or AI systems Strong programming skills in Python, and/or Scala, or Java for platform automation and tooling Deep experience with Kubernetes and container orchestration on GCP (GKE) and/or AWS (EKS) Expertise with NoSQL or low-latency data stores such as Aerospike or similar technologies Hands-on experience with data and orchestration technologies such as Apache Spark, Apache Flink, Apache Airflow, and Kafka Experience building and maintaining CI/CD systems using tools such as Jenkins or GitLab Runner Familiarity with feature engineering platforms such as Chronon and model lifecycle tools such as MLflow Strong infrastructure-as-code experience with Terraform or similar tooling Experience with observability platforms such as Prometheus, Grafana, and Datadog Excellent communication and cross-functional collaboration skills Experience in the Advertising domain is a plus What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. While we are a remote-first company, the nature of this role requires candidates to be based in the New York City metro area. What You'll Do Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions. Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience. Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact. Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team. What We're Looking For Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages. ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments Cloud Technologies : Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes). Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two. Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies. The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
09/25/2026
Full time
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. While we are a remote-first company, the nature of this role requires candidates to be based in the New York City metro area. What You'll Do Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions. Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience. Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact. Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team. What We're Looking For Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages. ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments Cloud Technologies : Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes). Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two. Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies. The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Note: By applying to the Senior / Lead Software Engineer - Full Stack posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTUREFORCE FOR OPPORTUNITIES About the Product Team As a Software Engineer on the Product Team, you'll turn ambiguous product problems into high-quality shipped software-partnering closely with product and design to define what we build, how we build it, and how we measure success. You'll work on the core workflows that matter most to customers, from the UI they touch every day to the backend services and data models that power them. You'll also help us translate emerging AI capabilities into practical, reliable product experiences. That means choosing the right techniques for the job, designing clear interfaces between AI components and the rest of the system, and ensuring the resulting features are observable, testable, and maintainable. If you enjoy moving from concept to implementation quickly-and iterating based on real usage-this role is built for that. What You'll Do Ship full-stack product features end-to-end across frontend, backend, and data Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value Own delivery from scope/design through launch, monitoring, and iteration Solve ambiguous, technically challenging problems with pragmatic, scalable solutions Partner closely with product, design, and engineering to shape requirements and roadmap Improve performance, reliability, and overall product quality at enterprise scale Contribute to strong engineering culture through code review, tooling, and process improvements Who You Are Experience: 5+ years of experience in professional software development Proven experience shipping production full-stack web applications Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar) Comfortable operating in ambiguity and driving work forward independently Product-minded: you care about UX and customer outcomes, not just implementation Strong communicator and collaborator across functions Ownership mindset and bias for action Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most) Curious and continuously learning Nice to Have Experience with enterprise SaaS (especially B2B marketing or sales tech) Experience with real-time systems (chat, messaging, event-driven) Familiarity with Salesforce/CRM integrations Experience building agentic systems or autonomous tool-using workflows Startup experience and rapid shipping Why Us? Build real product with real impact: Ship customer-facing features that directly improve pipeline generation and the day-to-day workflows of go-to-market teams at major enterprises. Work across the full stack: Own meaningful slices of the product across frontend, backend, and data-optimizing for speed, quality, and maintainability. AI as a core product surface: Help turn new AI capabilities into dependable experiences that customers trust, with strong engineering around evaluation, observability, and iteration. High bar, low bureaucracy: Work with a team that values craft and decisive execution, where strong ideas win and shipping is the default. Room to grow: Take on larger technical and product scope over time-leading projects, influencing architecture, and leveling up quickly. Benefits & Perks Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information Check out our Salesforce Engineering Site. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
09/25/2026
Full time
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Note: By applying to the Senior / Lead Software Engineer - Full Stack posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTUREFORCE FOR OPPORTUNITIES About the Product Team As a Software Engineer on the Product Team, you'll turn ambiguous product problems into high-quality shipped software-partnering closely with product and design to define what we build, how we build it, and how we measure success. You'll work on the core workflows that matter most to customers, from the UI they touch every day to the backend services and data models that power them. You'll also help us translate emerging AI capabilities into practical, reliable product experiences. That means choosing the right techniques for the job, designing clear interfaces between AI components and the rest of the system, and ensuring the resulting features are observable, testable, and maintainable. If you enjoy moving from concept to implementation quickly-and iterating based on real usage-this role is built for that. What You'll Do Ship full-stack product features end-to-end across frontend, backend, and data Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value Own delivery from scope/design through launch, monitoring, and iteration Solve ambiguous, technically challenging problems with pragmatic, scalable solutions Partner closely with product, design, and engineering to shape requirements and roadmap Improve performance, reliability, and overall product quality at enterprise scale Contribute to strong engineering culture through code review, tooling, and process improvements Who You Are Experience: 5+ years of experience in professional software development Proven experience shipping production full-stack web applications Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar) Comfortable operating in ambiguity and driving work forward independently Product-minded: you care about UX and customer outcomes, not just implementation Strong communicator and collaborator across functions Ownership mindset and bias for action Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most) Curious and continuously learning Nice to Have Experience with enterprise SaaS (especially B2B marketing or sales tech) Experience with real-time systems (chat, messaging, event-driven) Familiarity with Salesforce/CRM integrations Experience building agentic systems or autonomous tool-using workflows Startup experience and rapid shipping Why Us? Build real product with real impact: Ship customer-facing features that directly improve pipeline generation and the day-to-day workflows of go-to-market teams at major enterprises. Work across the full stack: Own meaningful slices of the product across frontend, backend, and data-optimizing for speed, quality, and maintainability. AI as a core product surface: Help turn new AI capabilities into dependable experiences that customers trust, with strong engineering around evaluation, observability, and iteration. High bar, low bureaucracy: Work with a team that values craft and decisive execution, where strong ideas win and shipping is the default. Room to grow: Take on larger technical and product scope over time-leading projects, influencing architecture, and leveling up quickly. Benefits & Perks Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information Check out our Salesforce Engineering Site. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Note: By applying to the Senior / Lead Software Engineer - Full Stack posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTUREFORCE FOR OPPORTUNITIES About the Product Team As a Software Engineer on the Product Team, you'll turn ambiguous product problems into high-quality shipped software-partnering closely with product and design to define what we build, how we build it, and how we measure success. You'll work on the core workflows that matter most to customers, from the UI they touch every day to the backend services and data models that power them. You'll also help us translate emerging AI capabilities into practical, reliable product experiences. That means choosing the right techniques for the job, designing clear interfaces between AI components and the rest of the system, and ensuring the resulting features are observable, testable, and maintainable. If you enjoy moving from concept to implementation quickly-and iterating based on real usage-this role is built for that. What You'll Do Ship full-stack product features end-to-end across frontend, backend, and data Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value Own delivery from scope/design through launch, monitoring, and iteration Solve ambiguous, technically challenging problems with pragmatic, scalable solutions Partner closely with product, design, and engineering to shape requirements and roadmap Improve performance, reliability, and overall product quality at enterprise scale Contribute to strong engineering culture through code review, tooling, and process improvements Who You Are Experience: 5+ years of experience in professional software development Proven experience shipping production full-stack web applications Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar) Comfortable operating in ambiguity and driving work forward independently Product-minded: you care about UX and customer outcomes, not just implementation Strong communicator and collaborator across functions Ownership mindset and bias for action Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most) Curious and continuously learning Nice to Have Experience with enterprise SaaS (especially B2B marketing or sales tech) Experience with real-time systems (chat, messaging, event-driven) Familiarity with Salesforce/CRM integrations Experience building agentic systems or autonomous tool-using workflows Startup experience and rapid shipping Why Us? Build real product with real impact: Ship customer-facing features that directly improve pipeline generation and the day-to-day workflows of go-to-market teams at major enterprises. Work across the full stack: Own meaningful slices of the product across frontend, backend, and data-optimizing for speed, quality, and maintainability. AI as a core product surface: Help turn new AI capabilities into dependable experiences that customers trust, with strong engineering around evaluation, observability, and iteration. High bar, low bureaucracy: Work with a team that values craft and decisive execution, where strong ideas win and shipping is the default. Room to grow: Take on larger technical and product scope over time-leading projects, influencing architecture, and leveling up quickly. Benefits & Perks Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information Check out our Salesforce Engineering Site. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
09/25/2026
Full time
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Note: By applying to the Senior / Lead Software Engineer - Full Stack posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTUREFORCE FOR OPPORTUNITIES About the Product Team As a Software Engineer on the Product Team, you'll turn ambiguous product problems into high-quality shipped software-partnering closely with product and design to define what we build, how we build it, and how we measure success. You'll work on the core workflows that matter most to customers, from the UI they touch every day to the backend services and data models that power them. You'll also help us translate emerging AI capabilities into practical, reliable product experiences. That means choosing the right techniques for the job, designing clear interfaces between AI components and the rest of the system, and ensuring the resulting features are observable, testable, and maintainable. If you enjoy moving from concept to implementation quickly-and iterating based on real usage-this role is built for that. What You'll Do Ship full-stack product features end-to-end across frontend, backend, and data Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value Own delivery from scope/design through launch, monitoring, and iteration Solve ambiguous, technically challenging problems with pragmatic, scalable solutions Partner closely with product, design, and engineering to shape requirements and roadmap Improve performance, reliability, and overall product quality at enterprise scale Contribute to strong engineering culture through code review, tooling, and process improvements Who You Are Experience: 5+ years of experience in professional software development Proven experience shipping production full-stack web applications Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar) Comfortable operating in ambiguity and driving work forward independently Product-minded: you care about UX and customer outcomes, not just implementation Strong communicator and collaborator across functions Ownership mindset and bias for action Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most) Curious and continuously learning Nice to Have Experience with enterprise SaaS (especially B2B marketing or sales tech) Experience with real-time systems (chat, messaging, event-driven) Familiarity with Salesforce/CRM integrations Experience building agentic systems or autonomous tool-using workflows Startup experience and rapid shipping Why Us? Build real product with real impact: Ship customer-facing features that directly improve pipeline generation and the day-to-day workflows of go-to-market teams at major enterprises. Work across the full stack: Own meaningful slices of the product across frontend, backend, and data-optimizing for speed, quality, and maintainability. AI as a core product surface: Help turn new AI capabilities into dependable experiences that customers trust, with strong engineering around evaluation, observability, and iteration. High bar, low bureaucracy: Work with a team that values craft and decisive execution, where strong ideas win and shipping is the default. Room to grow: Take on larger technical and product scope over time-leading projects, influencing architecture, and leveling up quickly. Benefits & Perks Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information Check out our Salesforce Engineering Site. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Hasbro, our mission is to entertain and connect generations of fans through the wonder of storytelling and exhilaration of play. We're looking for adventurous and curious people who want to explore, experiment, and innovate to come up with the best ideas. Our culture has inspired our diverse team of highly skilled, highly creative, and highly committed individuals for 100 years and we believe the best is yet to come. About the Role The Direct-to-Consumer platform at Hasbro connects fans worldwide through efficient digital commerce experiences. As Principal Software Engineer, you'll define the platform's technical architecture, spanning Salesforce Commerce Cloud, Salesforce OMS, SAP, Braintree, and Hasbro's identity systems, and direct how AI and automation get incorporated across the commerce lifecycle, from customer engagement to fulfillment. As a senior technical leader, you'll architect systems, support engineers, and guide teams across storefront, OMS, data, and fulfillment areas, so technology supports every fan interaction at scale. What You'll Do Architect the platform Define the architecture for Hasbro's global Salesforce-based commerce stack, integrating commerce, OMS, data, and fulfillment systems. Build integration frameworks connecting SAP, Braintree, Avalara, and other enterprise systems. Design event-driven architectures that support product drops, crowdfunding, digital items, and global fulfillment. Set data and AI-ready design standards so systems support real-time insights, personalization, and automation. Lead AI and automation projects Identify and implement AI/ML use cases across the platform: personalization, search, merchandising, customer support automation, fraud detection, and fulfillment prediction. Automate operational workflows to reduce manual work in order management, customer service, and fulfillment coordination. Partner with Data Science to move models from prototype to production within core platform experiences. Set standards for responsible AI adoption, including monitoring and ongoing model improvement. Raise the engineering bar Guide engineers across disciplines toward sound architecture decisions and strong technical craftsmanship. Define reliability goals, telemetry, and observability standards that hold up during major product launches. Champion infrastructure-as-code and continuous delivery across the DTC organization. Use automation to strengthen testing, alerting, and deployment - and to improve day-to-day developer efficiency. Mentor and collaborate across teams Mentor engineers and tech leads across front-end, OMS, data, and platform teams. Work closely with Product, Data Science, CX, and Design to connect technical decisions to business and fan outcomes. Bring technical mentorship to cross-functional projects to keep delivery quality consistent. Help teams build data-driven, automation-first habits into how they solve problems. Shape what's next Evaluate emerging technologies - composable architecture, event streaming, generative AI, predictive fulfillment - and bring the right ones into the platform. Lead technical design reviews and contribute to enterprise architecture decisions. Set the platform principles that guide Hasbro's DTC roadmap toward a more automated, data-driven commerce experience. What You'll Need Required: 8+ years of engineering experience in large-scale eCommerce or platform systems. Verified background building and connecting Salesforce Commerce Cloud, Salesforce OMS, and enterprise middleware. Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), CI/CD, and infrastructure-as-code (Terraform). A track record of mentoring engineers and supporting their career growth. Strong communication skills, with the ability to explain technical concepts clearly to leadership. Preferred: Experience with SAP, Braintree, or complex order management systems. Experience integrating AI/ML or automation frameworks into production systems. Experience influencing senior collaborators and driving alignment across teams. We are an Equal Opportunity / Affirmative Action Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $172,600-$259,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
09/25/2026
Full time
We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Hasbro, our mission is to entertain and connect generations of fans through the wonder of storytelling and exhilaration of play. We're looking for adventurous and curious people who want to explore, experiment, and innovate to come up with the best ideas. Our culture has inspired our diverse team of highly skilled, highly creative, and highly committed individuals for 100 years and we believe the best is yet to come. About the Role The Direct-to-Consumer platform at Hasbro connects fans worldwide through efficient digital commerce experiences. As Principal Software Engineer, you'll define the platform's technical architecture, spanning Salesforce Commerce Cloud, Salesforce OMS, SAP, Braintree, and Hasbro's identity systems, and direct how AI and automation get incorporated across the commerce lifecycle, from customer engagement to fulfillment. As a senior technical leader, you'll architect systems, support engineers, and guide teams across storefront, OMS, data, and fulfillment areas, so technology supports every fan interaction at scale. What You'll Do Architect the platform Define the architecture for Hasbro's global Salesforce-based commerce stack, integrating commerce, OMS, data, and fulfillment systems. Build integration frameworks connecting SAP, Braintree, Avalara, and other enterprise systems. Design event-driven architectures that support product drops, crowdfunding, digital items, and global fulfillment. Set data and AI-ready design standards so systems support real-time insights, personalization, and automation. Lead AI and automation projects Identify and implement AI/ML use cases across the platform: personalization, search, merchandising, customer support automation, fraud detection, and fulfillment prediction. Automate operational workflows to reduce manual work in order management, customer service, and fulfillment coordination. Partner with Data Science to move models from prototype to production within core platform experiences. Set standards for responsible AI adoption, including monitoring and ongoing model improvement. Raise the engineering bar Guide engineers across disciplines toward sound architecture decisions and strong technical craftsmanship. Define reliability goals, telemetry, and observability standards that hold up during major product launches. Champion infrastructure-as-code and continuous delivery across the DTC organization. Use automation to strengthen testing, alerting, and deployment - and to improve day-to-day developer efficiency. Mentor and collaborate across teams Mentor engineers and tech leads across front-end, OMS, data, and platform teams. Work closely with Product, Data Science, CX, and Design to connect technical decisions to business and fan outcomes. Bring technical mentorship to cross-functional projects to keep delivery quality consistent. Help teams build data-driven, automation-first habits into how they solve problems. Shape what's next Evaluate emerging technologies - composable architecture, event streaming, generative AI, predictive fulfillment - and bring the right ones into the platform. Lead technical design reviews and contribute to enterprise architecture decisions. Set the platform principles that guide Hasbro's DTC roadmap toward a more automated, data-driven commerce experience. What You'll Need Required: 8+ years of engineering experience in large-scale eCommerce or platform systems. Verified background building and connecting Salesforce Commerce Cloud, Salesforce OMS, and enterprise middleware. Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), CI/CD, and infrastructure-as-code (Terraform). A track record of mentoring engineers and supporting their career growth. Strong communication skills, with the ability to explain technical concepts clearly to leadership. Preferred: Experience with SAP, Braintree, or complex order management systems. Experience integrating AI/ML or automation frameworks into production systems. Experience influencing senior collaborators and driving alignment across teams. We are an Equal Opportunity / Affirmative Action Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $172,600-$259,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone. What You'll Do Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions. Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience. Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact. Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team. What We're Looking For Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages. ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments Cloud Technologies : Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes). Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two. Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies. The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
09/25/2026
Full time
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone. What You'll Do Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs. Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions. Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience. Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact. Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team. What We're Looking For Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages. ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments Cloud Technologies : Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes). Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two. Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies. The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
Cadence is the clinical AI company automating the treatment of chronic disease. Its Clinical Intelligence takes on the routine, high-volume work of chronic care - monitoring patients, surfacing risks, and coordinating action - so clinicians can focus on the decisions that require them. Grounded in partnerships with more than 20 leading health systems, deep EMR integrations, dedicated medical group, and experience serving a population of more than 100,000 patients, the system learns from real-world care delivery, improving as it scales. Cadence has been recognized by TIME as one of the Top 100 HealthTech Companies and by LinkedIn as a Top Startup (, 2025). The Role We're hiring a Staff Data Scientist to define the KPIs, data models, and analytical infrastructure that support Cadence's product, operational, and clinical decisions for our Advanced Primary Care Management business unit. You will partner closely with product management, operations, care delivery, and customer success to build a scalable analytics roadmap and translate complex data - including patient vitals, EHR records, and clinical outcomes - into insights that drive strategy. This role sits at the center of how Cadence measures and improves care delivery at scale. What You'll Do Own the analytical strategy for Cadence's digital primary care program end-to-end by defining what outcomes and KPIs matter, diagnosing ambiguous operational and clinical problems, and serving as the primary thought partner to clinical and operational leadership; exploring patient vitals, EHR data, and clinician-generated data to surface insights that close care gaps, drive better outcomes, and inform program strategy. Define and communicate outcome frameworks for AI-powered primary care, translating clinical and operational performance into clear, credible narratives for external partners including health systems and payers, and serving as the analytical voice in those conversations. Design and build core data models in dbt from the ground up, establishing canonical metric definitions, data collection standards, and the structural foundation that the broader team relies on; maintain the modern data stack (Snowflake, Fivetran, dbt) to keep infrastructure accurate, well-documented, and built to scale. Deliver advanced analytics across the full stack from pipeline construction and data engineering to predictive modeling, staffing and capacity forecasting, and revenue modeling in partnership with operations and executive leadership. Build and maintain reports and dashboards that monitor growth, engagement, clinical outcomes, and Cadence's demonstrated value to patients and health system partners with metrics that are trustworthy and tied to decisions. Embed AI meaningfully into the analytics function by identifying high-value use cases, building reusable workflows and automation, and leading adoption of LLM-assisted tools that reduce manual overhead and expand what the team can produce. What You Need 9+ years of experience working with SQL or other data querying languages, with hands-on experience building and maintaining analytics, reporting, and dashboarding solutions. Proficiency with modern data stack tools such as Snowflake, Fivetran, and dbt, or equivalent technologies. Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field, or equivalent practical experience. Practical knowledge of statistics and data analysis techniques, with the ability to translate findings clearly for both technical and non-technical stakeholders. Experience working with clinical or health data - including patient vitals, EHR records, or outcomes data - and familiarity with the data structures and sensitivity considerations that come with it. Fluency with LLM APIs, prompt engineering, and AI-assisted development tools; demonstrated experience building or evaluating AI-powered systems in production and the ability to communicate how AI-powered care models work to clinical, operational, and external partner audiences Compensation Our job titles may span more than one career level. The base salary for this role typically ranges between $190,000 - $230,000, depending on experience, skills, seniority, and business needs. In addition to base salary, this role is eligible for equity as part of the total compensation package. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.
09/25/2026
Full time
Cadence is the clinical AI company automating the treatment of chronic disease. Its Clinical Intelligence takes on the routine, high-volume work of chronic care - monitoring patients, surfacing risks, and coordinating action - so clinicians can focus on the decisions that require them. Grounded in partnerships with more than 20 leading health systems, deep EMR integrations, dedicated medical group, and experience serving a population of more than 100,000 patients, the system learns from real-world care delivery, improving as it scales. Cadence has been recognized by TIME as one of the Top 100 HealthTech Companies and by LinkedIn as a Top Startup (, 2025). The Role We're hiring a Staff Data Scientist to define the KPIs, data models, and analytical infrastructure that support Cadence's product, operational, and clinical decisions for our Advanced Primary Care Management business unit. You will partner closely with product management, operations, care delivery, and customer success to build a scalable analytics roadmap and translate complex data - including patient vitals, EHR records, and clinical outcomes - into insights that drive strategy. This role sits at the center of how Cadence measures and improves care delivery at scale. What You'll Do Own the analytical strategy for Cadence's digital primary care program end-to-end by defining what outcomes and KPIs matter, diagnosing ambiguous operational and clinical problems, and serving as the primary thought partner to clinical and operational leadership; exploring patient vitals, EHR data, and clinician-generated data to surface insights that close care gaps, drive better outcomes, and inform program strategy. Define and communicate outcome frameworks for AI-powered primary care, translating clinical and operational performance into clear, credible narratives for external partners including health systems and payers, and serving as the analytical voice in those conversations. Design and build core data models in dbt from the ground up, establishing canonical metric definitions, data collection standards, and the structural foundation that the broader team relies on; maintain the modern data stack (Snowflake, Fivetran, dbt) to keep infrastructure accurate, well-documented, and built to scale. Deliver advanced analytics across the full stack from pipeline construction and data engineering to predictive modeling, staffing and capacity forecasting, and revenue modeling in partnership with operations and executive leadership. Build and maintain reports and dashboards that monitor growth, engagement, clinical outcomes, and Cadence's demonstrated value to patients and health system partners with metrics that are trustworthy and tied to decisions. Embed AI meaningfully into the analytics function by identifying high-value use cases, building reusable workflows and automation, and leading adoption of LLM-assisted tools that reduce manual overhead and expand what the team can produce. What You Need 9+ years of experience working with SQL or other data querying languages, with hands-on experience building and maintaining analytics, reporting, and dashboarding solutions. Proficiency with modern data stack tools such as Snowflake, Fivetran, and dbt, or equivalent technologies. Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field, or equivalent practical experience. Practical knowledge of statistics and data analysis techniques, with the ability to translate findings clearly for both technical and non-technical stakeholders. Experience working with clinical or health data - including patient vitals, EHR records, or outcomes data - and familiarity with the data structures and sensitivity considerations that come with it. Fluency with LLM APIs, prompt engineering, and AI-assisted development tools; demonstrated experience building or evaluating AI-powered systems in production and the ability to communicate how AI-powered care models work to clinical, operational, and external partner audiences Compensation Our job titles may span more than one career level. The base salary for this role typically ranges between $190,000 - $230,000, depending on experience, skills, seniority, and business needs. In addition to base salary, this role is eligible for equity as part of the total compensation package. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.