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Job Description Job Description Tetrad Digital Integrity (TDI) is a leading-edge cybersecurity firm with a mission to safeguard and protect our customers from increasing threats and vulnerabilities in this digital age. Join TDI as we stand up a brand-new Agile development team at the forefront of federal IT modernization, delivering real digital transformation where it matters most. This is a rare ground-floor opportunity to architect, build, and integrate cutting-edge infrastructure solutions in support of some of our nation's most sensitive and critical missions. The Configuration Manager will ensure baseline control, deployment coordination, and release governance across a complex environment. This role blends hands on technical understanding with strong process leadership to coordinate delivery across engineering, DevOps, test, cyber, infrastructure, operations, product management, customer stakeholders, and partner teams. This is a fully onsite opportunity requiring a daily commute to the Washington, DC area. An active TS/SCI security clearance is required. RESPONSIBILITIES: Lead end to end configuration management across all environments (dev through IL5/IL6 production). Own CM plans, release procedures, baseline controls, governance models, and change workflows. Manage release calendars, cadences, readiness criteria, deployment windows, cutover and rollback planning, and post release validation. Coordinate release planning and execution across engineering, DevOps, cloud, data, test, cyber, IA, operations, network automation, service management, and customer teams. Facilitate release readiness reviews, configuration control boards, go/no go reviews, and retrospectives. Ensure release packages are complete, reviewed, documented, traceable, and approved (code, infrastructure changes, configs, test evidence, security scans, deployment instructions, rollback plans, release notes). Maintain traceability across requirements, defects, risks, and changes using Jira, Confluence, Bitbucket, and associated CI/CD tools. Manage configuration control for software, scripts, data pipelines, dashboards, integrations, IaC, automation workflows, interfaces, COTS/FOSS components, and runbooks. Maintain environment baselines for non prod, simulators, test environments, IL5/IL6 targets, and operational systems. Partner with DevOps to ensure CI/CD pipelines support controlled promotion with proper versioning, approval gates, automated tests, and artifact retention. Coordinate DoD aligned security requirements, STIG configurations, vulnerability remediation, privileged access controls, and audit evidence. Manage release impacts across mission critical capabilities (event processing, monitoring, cyber, automation, analytics, integrations). Oversee release and configuration coordination for AWS IL5/IL6 platforms and tools such as Elastic/Kibana, Kafka, Logstash, Databricks, ServiceNow, Watson AIOps, Jira, Confluence, Bitbucket, and network/cyber data sources. Identify and manage release risks, dependencies, blockers, environment constraints, and coordination gaps. Provide timely status reporting on scope, readiness, risks, defects, deployment progress, and outcomes. Develop release dashboards, metrics, decision briefs, and health indicators. Support audits, customer reviews, engineering reviews, and readiness assessments through accurate CM records and release evidence. Drive continuous improvement of CM and release processes. Provide CM and release training, mentoring, and guidance across engineering and operations teams. Coordinate with external partners and adjacent systems on integration planning, data dependencies, release alignment, and interoperability. QUALIFICATIONS: Active DoD TS/SCI security clearance. Ability to pass additional customer suitability screening(s) prior to start. Current Security+ or equivalent/higher. Bachelor's degree with 8+ years of relevant experience, or equivalent experience. Experience leading or supporting configuration management (CM), change management, deployment coordination, or baseline management for complex cloud, software, or mission systems, including developing CM/release plans, change control processes, deployment/rollback plans, and release documentation. Demonstrated experience leading cross-functional release planning, readiness, approval, deployment, and validation across multiple environments. Experience with Agile/DevOps workflows and tools, including Jira, Confluence, Bitbucket/Git, and related traceability and versioning tools. Familiarity with CI/CD, artifact management, branching strategies, automated testing, and promotion pipelines. Ability to understand complex systems and coordinate dependencies, risks, impacts, and stakeholder decisions. Strong communication and organizational skills, with the ability to manage multiple releases, anticipate issues, close actions, resolve gaps, and maintain discipline in fast-paced environments. PREFERRED QUALIFICATIONS: Experience with DoD network or cyber operations, including AWS/AWS GovCloud and IL5/IL6 environments. Experience supporting releases for data pipelines, analytics, observability, monitoring, automation, or service-management tools, including configuration management for IaC, COTS/FOSS, security configurations, APIs, dashboards, schemas, and deployment manifests. Experience with ServiceNow ITSM and change processes, including facilitating CCBs, CABs, and readiness or approval reviews. Experience supporting compliance, STIGs, vulnerability remediation, security scan evidence, or DoD cyber processes. PAY RANGE: The anticipated salary range for this position is $130,000 - $145,000. This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data and applicable contract requirements, and may fall outside the posted range. TDI does business with the federal government, which restricts employment to individuals who are either US citizens or lawful permanent residents of the United States. "TDI is an Equal Opportunity Employer. Employment decisions are made based on individual qualifications, merit, and business needs. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, or national origin, in accordance with applicable federal laws." Powered by JazzHR Z3pjx6EUEc

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 Role Summary: We are seeking a talented and motivated Software 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 be tasked to quickly grasp and evaluate new ideas and technologies from both internal and external sources and match them appropriately with emerging technology and business opportunities, building a culture of innovation and a drive for excellence. Essential Functions: Innovative Development: Engage in the design, development, and implementation of innovative software solutions, using generative AI and modern integration patterns. Contribute to a culture of innovation by actively exploring and applying new ideas and technologies. AI Solution Engineering: Support the implementation, fine-tuning, evaluation, integration, and deployment of AI components within enterprise applications, with attention to model robustness and operational quality. Collaborative Engineering: Collaborate with cross-functional teams to develop and deliver complex projects that integrate emerging technologies with our existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and other Product Development teams to build comprehensive solutions. Continuous Learning: Engage in continuous learning and development, actively seeking opportunities to enhance your skills and knowledge. Collaborate with peers to share insights and drive team growth. API and Integration Development: Contribute to the design and development of APIs that enhance the integration of our Payment Product applications, platforms, and solutions. Engineering Excellence: Adhere to industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience. Contribute to the management and reduction of technical debt within projects. Automation and Best Practices: Implement best engineering practices and automate software development, testing, and deployment processes. Ensure the timely delivery and maintenance of multiple services, focusing on continuous improvement. The Skills You Bring: Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo: Comfort in pushing the boundaries, hacking beyond traditional solutions Language Expertise: Expertise in one or more general development languages such as Java, Python, NodeJS, C#, or C++ AI Builder: Experience building, evaluating, integrating, and deploying Generative AI or machine learning capabilities within modern services and web applications Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn new technologies such as GenAI, Angular, React, Kubernetes, Docker, and MLOps Partnership: Experience collaborating with Product, Test, DevOps, and Agile/Scrum teams Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Bachelor's degree, OR 3+ years of relevant work experience. Expert-level skills in Java, Python, and/or NodeJS; skills in C++ and C# are a plus. Experience building Generative AI applications, conversational AI, RAG architectures, techniques, and libraries. Preferred Qualifications: Expertise in application security, SSDLC, and cryptography fundamentals. Self-driven and willing to work across technologies and languages. Understanding of NLP, including tokenization, word embeddings, and basic sequence models. Experience implementing and fine-tuning AI models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of model compression techniques and related trade-offs. Awareness of transfer learning concepts and practical applications. Ability to design, implement, and integrate AI components into larger systems. Familiarity with common robustness issues in AI systems. Familiarity with machine learning and deep learning basics, including neural network architectures and training procedures. Exposure to machine learning operations (MLOps) and best practices for deploying AI and machine learning models. Experience with data preprocessing, feature engineering, and model evaluation techniques. Proficiency in front-end web development technologies such as ReactJS, Angular, and NodeJS. Ability to work with large datasets and perform exploratory data analysis. Expertise in multi-threading, concurrency, and error handling. Knowledge of version control, CI/CD pipelines, and best practices for deployments. Working knowledge of distributed in-memory computing technologies such as Redis. Information for US Applicants For roles located in the US, the estimated salary range for this position is $86,500 to $158,100 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 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.

Senior Network Automation Engineer Employment Type: Contract-to-Hire Location: Fully Remote About the Role We are seeking an experienced Senior Network Automation Engineer to join a platform technology team in a senior individual contributor role focused on network automation. This position is responsible for the development, extension, and ongoing support of a production-grade network automation platform that spans multiple network domains and cloud environments. The platform is built on a modern Python backend stack, including FastAPI, async/multi-process services, Kafka, Redis, and PostgreSQL. It integrates with Azure Data Explorer for telemetry and observability and provides operational interfaces through a Vue3 single-page application. Infrastructure is deployed across multiple clouds using Crossplane, and the network layer includes Cisco SD-WAN, Cisco Meraki, Webex, Adtran nCommand, Juniper, Arista, and Nokia (NFM-P/NFM-T). Identity and access management is handled through Auth0, Azure Entra ID, and a role-based access control (RBAC) model. This is a senior-level role requiring genuine depth in both software engineering and network technologies. The ideal candidate will bring professional experience developing production Python services alongside meaningful hands-on knowledge of enterprise or service provider networking. Key Responsibilities Design, develop, and maintain Python backend services using FastAPI, Pydantic, and SQLAlchemy, including async and multi-process service patterns Build and maintain event-driven integrations using Kafka Leverage Redis for caching and state management Develop and extend integrations with network management systems, including: Cisco SD-WAN Cisco Meraki Webex Adtran nCommand Juniper Arista Nokia NFM-P/NFM-T Contribute to telemetry data pipelines and observability tooling using Azure Data Explorer, Grafana, and custom dashboards Maintain and extend the Vue3 front end for operational and engineering tooling Manage infrastructure-as-code using Crossplane across multi-cloud environments Work within and extend the platform's identity and access control model using Auth0, Azure Entra ID, and RBAC Collaborate with network engineers and operations teams to translate domain requirements into platform capabilities Take ownership of deliverables across the full development lifecycle, including design, implementation, testing, deployment, and documentation Required Qualifications Software Engineering Demonstrated professional experience developing production Python services Experience with async frameworks, ORM-based data access, and service-oriented design patterns Experience building or working within event-driven architectures Hands-on Kafka experience is a strong plus Proficiency with PostgreSQL, including schema design and query optimization Working knowledge of JavaScript and front-end development Experience with Vue3 or a comparable modern front-end framework preferred Familiarity with OAuth2/OIDC, RBAC, and enterprise identity providers, including Auth0, Azure Entra ID, or equivalent Experience with infrastructure-as-code in cloud environments Crossplane or Terraform experience preferred Proficiency with Git, CI/CD pipelines, and containerized application deployment Experience with Docker and Kubernetes Networking Meaningful hands-on experience in enterprise or service provider network environments, including design, operations, or engineering Strong working knowledge of BGP, OSPF, MPLS, SD-WAN, and network security fundamentals Familiarity with one or more of the following vendor platforms: Cisco SD-WAN Cisco Meraki Webex Juniper Arista Nokia Adtran Ability to read and interpret device configurations and network telemetry data Advanced networking certification strongly preferred, including CCNP or higher, or equivalent certification from Juniper, Arista, or Nokia CCIE or equivalent is a significant differentiator Preferred Qualifications Experience with Azure Data Explorer, including KQL and telemetry ingestion pipelines Familiarity with streaming telemetry, including gNMI/gNMIc and model-driven telemetry from Cisco, Juniper, or Nokia platforms Experience with Nokia NFM-P/NFM-T or comparable OSS/NMS platforms Background in telco, service provider, or carrier-grade network environments Experience integrating network automation platforms with ITSM or OSS/BSS systems What You'll Be Working With Software & Development: Python, FastAPI, Pydantic, SQLAlchemy, JavaScript, Vue3 Data & Messaging: PostgreSQL, Kafka, Redis, Azure Data Explorer, KQL Cloud & Infrastructure: Multi-cloud environments, Crossplane, Terraform, Docker, Kubernetes, CI/CD Networking: Cisco SD-WAN, Cisco Meraki, Webex, Adtran nCommand, Juniper, Arista, Nokia NFM-P/NFM-T Identity & Access: Auth0, Azure Entra ID, OAuth2/OIDC, RBAC Observability: Azure Data Explorer, Grafana, network telemetry, custom dashboards Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details

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 OR Full Stack Developer (React, TypeScript, Go/ Java/Python/Node.js, AWS) Primary Skills React/Typescripts, AWS, Java/Golang/Node/Python Specialization React/Typescripts, AWS, Java/Golang/Node/Python Job requirements Role: Lead OR Full Stack Developer (React, TypeScript, Go/ Java/Python/Node.js, AWS) Years of Experience: 8+ years Note: - This is a permanent hire. No Visa sponsorship is available for this role Location: Hybrid 3 days for these locations Madison, NJ/Manhattan, Greater Boston Area South Florida Area Greater Seattle Area , WA As a consultant within the DE team, you will work with our clients to define their digital strategy and execution roadmap, and design and implement differentiated digital solutions to help deliver measurable value. Job Description: We are seeking a highly skilled, hands-on Lead Full Stack Developer to drive the design, development, and delivery of scalable, cloud-native applications aligned to the Golden Path engineering stack. This role requires strong technical depth across modern frontend engineering, backend services, distributed systems, AWS/GCP cloud platforms, DevOps, observability, automated testing, and AI-assisted engineering practices. The ideal candidate will lead by example, mentor engineers, influence architecture decisions, and own end-to-end delivery of business-critical solutions while ensuring high standards for scalability, reliability, security, performance, maintainability, and operational excellence. Key Responsibilities Lead the architecture, design, and delivery of enterprise-grade full-stack applications across frontend, backend, cloud, and data layers. Build scalable, reusable frontend experiences ( ReactJS, TypeScript, JavaScript , hooks) and robust backend APIs/microservices ( Go, Java, Python, Node.js ), integrated via REST, gRPC, Thrift, and event-driven patterns. Architect cloud-native solutions on AWS with containerized platforms, CI/CD pipelines, infrastructure automation, and monitoring. Own features end to end - from design through deployment, production support, and continuous improvement. Lead technical design discussions, architecture reviews, and code reviews ; drive engineering excellence in testing, security, observability, and performance. Implement comprehensive testing strategies (unit, integration, API, Cypress-based UI regression ) and troubleshoot complex production issues . Mentor junior and mid-level engineers, and collaborate closely with product managers, architects, designers, and business stakeholders. Communicate technical decisions, risks, and trade-offs clearly across technical and non-technical stakeholders. Required Skills & Experience Technical Experience Bachelor's degree in Computer Science, Software Engineering, or equivalent, with 8+ years of full-stack software engineering experience. Deep expertise in ReactJS, TypeScript, JavaScript (hooks, functional components), building scalable, high-performance UIs. Strong backend development in Go, Java, Python, or Node.js - APIs, microservices, and distributed systems ( REST, gRPC, Thrift ; Koa). Solid grounding in system design, distributed systems, scalability, resiliency, and performance optimization. Experience with relational and NoSQL databases (PostgreSQL, MySQL, Aurora, RDS, MongoDB, DynamoDB, Redis). Strong AWS experience (ECS, Lambda, API Gateway, S3, CloudWatch, and similar), plus Docker, Kubernetes, Terraform, and CI/CD (CircleCI). Experience with comprehensive testing (unit, integration, API, UI - Jest/Cypress) and observability/monitoring (Datadog, CloudWatch). Strong understanding of networking and security fundamentals (DNS, authentication, encryption, secure API design). Familiarity with AI-assisted engineering tools (Gemini, Claude Code, GitHub Copilot) and Agile/Scrum delivery. Professional Skills Proven ability to independently own and deliver complex technical initiatives with minimal supervision. Strong analytical, problem-solving, and debugging skills with the ability to break down complex technical challenges. Excellent communication, collaboration, and stakeholder management skills across distributed engineering, product, and architecture teams. Ability to balance engineering excellence with business priorities, delivery commitments, and customer outcomes. Strong mentoring mindset with the ability to guide engineers, raise technical standards, and foster a culture of accountability and continuous learning. Leadership & Communication Lead technical initiatives by influencing architecture decisions, defining implementation approaches, and guiding teams through delivery execution. Partner effectively with cross-functional stakeholders to clarify requirements, manage dependencies, communicate risks, and align delivery with business outcomes. Provide technical mentorship, design guidance, and constructive code review feedback to strengthen team capability and engineering quality. Operate effectively in distributed Agile teams with strong ownership of sprint commitments, release quality, and production readiness. Nice to Have Skills Experience with event-driven architecture and messaging platforms such as Kafka, AWS EventBridge, SQS, or similar technologies. Hands-on exposure to workflow orchestration and data processing platforms such as Databricks, Airflow, Temporal, or equivalent tools. Experience with Elasticsearch or other high-scale search, analytics, indexing, and data retrieval platforms. Experience contributing to enterprise design systems, shared UI component libraries, or large-scale frontend codebases. Familiarity with monorepo development environments and build systems such as Bazel. Infrastructure-as-Code experience using Terraform, AWS CDK, CloudFormation, or similar automation tools. Exposure to high-scale SaaS, marketplace, PropTech, real estate technology, or customer-facing digital product platforms. Experience working with geographically distributed engineering teams and cross-functional stakeholders. Why should you apply for this role? As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The DI team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients. Know more about PPE: DAE: CES: DI: Know what it's like to work and grow at Brillio: 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. $120,000 - $125,000 a year Know what it's like to work and grow at Brillio: Click here

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 OR Full Stack Developer Primary Skills React/Typescripts, AWS, Java/Golang/Node/Python Specialization React/Typescripts, AWS, Java/Golang/Node/Python Job requirements Role: Lead OR Full Stack Developer (React, TypeScript, Go/ Java/Python/Node.js, AWS) Years of Experience: 8+ years Note: - This is a permanent hire. No Visa sponsorship is available for this role Location: Hybrid 3 days for these locations Madison, NJ/Manhattan, Greater Boston Area South Florida Area Greater Seattle Area , WA As a consultant within the DE team, you will work with our clients to define their digital strategy and execution roadmap, and design and implement differentiated digital solutions to help deliver measurable value. Job Description: We are seeking a highly skilled, hands-on Lead Full Stack Developer to drive the design, development, and delivery of scalable, cloud-native applications aligned to the Golden Path engineering stack. This role requires strong technical depth across modern frontend engineering, backend services, distributed systems, AWS/GCP cloud platforms, DevOps, observability, automated testing, and AI-assisted engineering practices. The ideal candidate will lead by example, mentor engineers, influence architecture decisions, and own end-to-end delivery of business-critical solutions while ensuring high standards for scalability, reliability, security, performance, maintainability, and operational excellence. Key Responsibilities Lead the architecture, design, and delivery of enterprise-grade full-stack applications across frontend, backend, cloud, and data layers. Build scalable, reusable frontend experiences ( ReactJS, TypeScript, JavaScript , hooks) and robust backend APIs/microservices ( Go, Java, Python, Node.js ), integrated via REST, gRPC, Thrift, and event-driven patterns. Architect cloud-native solutions on AWS with containerized platforms, CI/CD pipelines, infrastructure automation, and monitoring. Own features end to end - from design through deployment, production support, and continuous improvement. Lead technical design discussions, architecture reviews, and code reviews ; drive engineering excellence in testing, security, observability, and performance. Implement comprehensive testing strategies (unit, integration, API, Cypress-based UI regression ) and troubleshoot complex production issues . Mentor junior and mid-level engineers, and collaborate closely with product managers, architects, designers, and business stakeholders. Communicate technical decisions, risks, and trade-offs clearly across technical and non-technical stakeholders. Required Skills & Experience Technical Experience Bachelor's degree in Computer Science, Software Engineering, or equivalent, with 8+ years of full-stack software engineering experience. Deep expertise in ReactJS, TypeScript, JavaScript (hooks, functional components), building scalable, high-performance UIs. Strong backend development in Go, Java, Python, or Node.js - APIs, microservices, and distributed systems ( REST, gRPC, Thrift ; Koa). Solid grounding in system design, distributed systems, scalability, resiliency, and performance optimization. Experience with relational and NoSQL databases (PostgreSQL, MySQL, Aurora, RDS, MongoDB, DynamoDB, Redis). Strong AWS experience (ECS, Lambda, API Gateway, S3, CloudWatch, and similar), plus Docker, Kubernetes, Terraform, and CI/CD (CircleCI). Experience with comprehensive testing (unit, integration, API, UI - Jest/Cypress) and observability/monitoring (Datadog, CloudWatch). Strong understanding of networking and security fundamentals (DNS, authentication, encryption, secure API design). Familiarity with AI-assisted engineering tools (Gemini, Claude Code, GitHub Copilot) and Agile/Scrum delivery. Professional Skills Proven ability to independently own and deliver complex technical initiatives with minimal supervision. Strong analytical, problem-solving, and debugging skills with the ability to break down complex technical challenges. Excellent communication, collaboration, and stakeholder management skills across distributed engineering, product, and architecture teams. Ability to balance engineering excellence with business priorities, delivery commitments, and customer outcomes. Strong mentoring mindset with the ability to guide engineers, raise technical standards, and foster a culture of accountability and continuous learning. Leadership & Communication Lead technical initiatives by influencing architecture decisions, defining implementation approaches, and guiding teams through delivery execution. Partner effectively with cross-functional stakeholders to clarify requirements, manage dependencies, communicate risks, and align delivery with business outcomes. Provide technical mentorship, design guidance, and constructive code review feedback to strengthen team capability and engineering quality. Operate effectively in distributed Agile teams with strong ownership of sprint commitments, release quality, and production readiness. Nice to Have Skills Experience with event-driven architecture and messaging platforms such as Kafka, AWS EventBridge, SQS, or similar technologies. Hands-on exposure to workflow orchestration and data processing platforms such as Databricks, Airflow, Temporal, or equivalent tools. Experience with Elasticsearch or other high-scale search, analytics, indexing, and data retrieval platforms. Experience contributing to enterprise design systems, shared UI component libraries, or large-scale frontend codebases. Familiarity with monorepo development environments and build systems such as Bazel. Infrastructure-as-Code experience using Terraform, AWS CDK, CloudFormation, or similar automation tools. Exposure to high-scale SaaS, marketplace, PropTech, real estate technology, or customer-facing digital product platforms. Experience working with geographically distributed engineering teams and cross-functional stakeholders. Why should you apply for this role? As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The DI team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients. Know more about PPE: DAE: CES: DI: Know what it's like to work and grow at Brillio: 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. $120,000 - $125,001 a year Know what it's like to work and grow at Brillio: Click here

About the Role The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. As a Platform Engineer in Model Shaping, you will work at the intersection of backend engineering and infrastructure, building the foundational layers of Together's platform for model customization and evaluation. You will design, develop, and operate both the backend services and the underlying systems that enable us to sustainably and reliably scale production workflows launched by our users, as well as internal research experiments. You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on. You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams. Responsibilities Design and build Together's systems and infrastructure for model customization, including user-facing features and internal improvements Contribute to reliability improvements for the platform, participating in an on-call rotation and improving processes for incident response Create and improve internal tooling for deployment, continuous integration, and observability Build a job orchestration platform spanning multiple datacenters, supporting a highly heterogeneous hardware landscape Partner with teams developing internal services, co-designing these services and incorporating them in systems built within Together Requirements 3+ years of experience in building infrastructure or backend components of production services Extensive experience designing, operating, and troubleshooting production Linux environments and Kubernetes-based platforms Strong software engineering background in Python or Go Experienced with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) Cloud environment (e.g., AWS/GCP/Azure) administration experience, preferably with a hybrid bare-metal/cloud environment Strong communication skills, be willing to document systems and processes and collaborate with peers of varying technical expertise Comfortable operating across the stack, from cluster operations and infrastructure automation to backend service development Experience in any of the following will make you stand out: Developing large-scale production systems with high reliability requirements Pipeline orchestration frameworks (e.g., Kubeflow, Argo Workflows, Flyte) Managing GPU workloads on HPC clusters, ideally with hands-on experience in operating NVIDIA's networking stack (e.g., NCCL, Mellanox firmware, GPUDirect RDMA) Deployment of services for AI training or inference Networking fundamentals, including TCP/IP, DNS, routing, load balancing, TLS, and network debugging tools Maintaining or contributing to open-source projects About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $200,000 - $290,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL , Ethernet, NVLink, PCIe , and UALink semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at . Role Overview Astera Labs' Taurus product line includes Ethernet retimers and gearboxes deployed in active electrical cables and in-system applications at the heart of AI infrastructure. As AI clusters scale to tens of thousands of GPUs connected by high-speed Ethernet fabrics, the firmware running on these connectivity devices is mission-critical - and so is the ability to debug it fast when something breaks. We're looking for a Firmware Engineer who can bridge our system validation team and firmware development organization. When something goes wrong in the lab or in the field, you won't be waiting on others to dig into the firmware. You'll be the person in the room who understands both sides - can pull up the code, identify the problem, and fix it. If you've worked at a networking company, know how Ethernet actually works from the MAC down through the PHY, have debugged real link failures, and have written or modified firmware or low-level drivers, this role was designed for you. Your primary focus will be debug and system integration. You will be an integral part of the firmware team and work on new feature development, but you will be the point person in the lab helping to unblock other teams - triaging failures, understanding what the firmware is doing, and making targeted fixes without requiring a long handoff loop. Beyond that, you'll contribute to feature development and help bring new products from initial bringup into customer deployment. Key Responsibilities Debug & System Integration Work directly with the system validation team to debug firmware behavior across different Ethernet configurations, link states, and failure modes Investigate and fix firmware issues in embedded C, leveraging deep understanding of how Layer 1 PHY, SERDES, FEC/PCS, MAC, and retimer components interact Serve as the connective tissue between firmware and system validation teams, triaging issues and driving them to resolution without long handoff loops Customer Bring-Up & Field Support Support customer bring-up and integration activities, including triaging field issues and coordinating fixes with internal teams Partner with field applications engineers to diagnose and resolve deployment issues quickly Firmware Feature Development Contribute to firmware feature development for SERDES configuration, link training, equalization, and diagnostics Partner with SoC, field applications, and platform teams across the full product lifecycle Help bring new Taurus products from initial silicon bringup through customer deployment Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field 5+ years of experience in firmware development or embedded systems engineering Hands-on experience with Ethernet at the system or device level: Layer 1 PHY, SERDES, retimers, gearboxes, NICs, switches, or related devices Solid embedded C/C++ skills and comfort working in a firmware codebase on real hardware Ability to debug across the hardware/software boundary: register accesses, embedded SDKs, link state machines, PHY telemetry, debug print logs Familiarity with Linux development tools: gcc/clang, make, bash, gdb, git Strong communication skills and comfort working in a fast-moving environment where the problem in front of you may not have a clean solution Preferred Qualifications Experience with switch or NIC management software, SAI, or OpenBMC Knowledge of PMA, FEC, or other PHY-layer subsystems beyond the SERDES Background with retimer or gearbox firmware or SDK/API development Python scripting for debug, test automation, or data analysis Experience with lab equipment: BERT, oscilloscopes, Viavi/Lecroy/Exfo/Keysight/Tektronix or similar Understanding of signal integrity: equalization, jitter, eye diagrams, link margin Prior experience mentoring engineers or leading debug efforts across teams Salary range is $133,200 to $185,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! As a member of the Blue Origin family of companies, Honeybee Robotics has been at the forefront of robotics for over 40 years. Our Colorado location specializes in creating advanced motion control solutions for NASA, defense, and commercial programs. Our work has played a critical role in thousands of projects, spanning from conceptual design studies to flight missions, including NASA's Artemis I Mission and the Roman Space Telescope. We are seeking technically brilliant individuals who are passionate about their work, thrive in collaborative environments, and have a laser focus on the details that drive excellence. Blue Origin is redefining global connectivity with TeraWave, a revolutionary satellite communications network designed to deliver symmetrical data speeds of up to 6 Tbps anywhere on Earth. This multi-orbit constellation of thousands of optically interconnected satellites across low Earth orbit (LEO) and medium Earth orbit (MEO) relies on novel Guidance, Navigation, and Control (GNC) technology and precision pointing and deployment mechanisms to keep every satellite correctly positioned, stable, and communicating. Join us and put your hands on the mechanisms and motion control hardware that will help build the backbone of next-generation, enterprise-grade space communications. This role is part of the Motion Control Business Unit, Honeybee Robotics, which designs, manufactures, and tests high-performance, reliable motion control components and integrated solutions that power the most demanding aerospace and space exploration missions. From actuators and gearboxes to motors and precision motion control systems, our products operate in the harshest environments, enabling critical missions from Earth to deep space. Our Test Department plays a critical role in ensuring every component and system meets the rigorous standards required for mission success. As part of a hardworking team of specialists, technicians, and engineers in our Test Department, you will apply standard engineering knowledge and methods to design, plan, model, execute, and interpret tests for aerospace systems and components. With a focus on precision mechanisms supporting novel Guidance, Navigation, and Control (GNC) technology, you will develop test strategies for mechanisms and implement comprehensive test campaigns, along with the associated Electrical Ground Support Equipment (EGSE) and test software needed to electrically stimulate, power, command, and measure these mechanisms. This role is a combination of test and operations development, planning and documentation, hands-on running tests, and troubleshooting/data analysis. Special Mentions Relocation provided Travel expected up to 10% of the time Responsibilities Design, develop, and validate Electrical Ground Support Equipment (EGSE) to electrically interface with, power, command, stimulate, and measure mechanisms under test Develop test software and automated test sequences (e.g., Python, LabVIEW) to command EGSE, orchestrate test execution, and collect, analyze, and report measurement data with real-time monitoring Design, set up, and operate test fixtures, ground support equipment (GSE), and data acquisition systems to support electromechanical system testing Collaborate closely with design, systems, and quality engineers to ensure test requirements are properly derived, allocated, and verified Support test readiness reviews (TRRs), test anomaly investigations, and failure review boards (FRBs) Perform other duties as assigned, including tasks or projects outside the primary scope of this role as needed to support evolving program, test, and business priorities Minimum Qualifications Bachelor's degree in Electrical Engineering, Mechatronics, Mechanical Engineering, or a closely related technical discipline Minimum of 5 years of hands-on experience developing Electrical Ground Support Equipment (EGSE), automated test equipment (ATE), and/or test software in support of hardware testing (Preferred aerospace or electromechanical systems experience) Ability to read, interpret, and develop electrical schematics, wiring diagrams, and interface control documents to support EGSE stand-up and troubleshooting Experience with one programming language (e.g., Python, LabVIEW, C#) developing analysis scripts, test software, or automated test sequences Experience with data acquisition systems and instrumentation (e.g., load cells, torque sensors, encoders, thermocouples, accelerometers) Demonstrated ability to analyze and interpret test data, identify anomalies, and drive resolution through structured problem-solving methods Strong written and verbal communication skills, with the ability to clearly document and present technical findings Ability to work collaboratively in a cross-functional team environment Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum Preferred Qualifications Master's degree in Electrical Engineering, Controls Engineering, Mechatronics, Mechanical Engineering, or a related field Experience developing test software in compliance with NASA NPR 7150.2D (NASA Software Engineering Requirements) or equivalent software assurance standards Familiarity with motion control and power transfer systems, including brushless DC motors, slip rings, flex harnesses, and motor drive electronics Labview developer experience Proficiency with data analysis tools such as MATLAB, Python, or equivalent scripting environments Experience with test automation and scripting for automated test execution and data collection Experience with version control systems (e.g., Git) and software development best practices for test software development Familiarity with environmental test standards such as MIL-STD-810, GEVS (GSFC-STD-7000), or equivalent aerospace qualification standards Knowledge of AS9100 or ISO 9001 quality management systems and associated documentation practices Familiarity with model-based systems engineering (MBSE) tools or requirements management platforms (e.g., DOORS, Jama) Experience supporting test campaigns at external test facilities or customer sites Prior experience in a space hardware development environment with exposure to full product lifecycle testing (development, qualification, and acceptance) Base Pay Range for: CO applicants is $110,938.00 - $155,312.85 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Stock Options for all regular employees (working at least 20 hours/week) Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion . 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 . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. 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 enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. 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 enables the development of innovative solutions to complex problems. As we get set for takeoff, 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 $134,000 to $179,000. 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 . 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 . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. 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 enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. 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 enables the development of innovative solutions to complex problems. As we get set for takeoff, 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 $134,000 to $179,000. 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 . click apply for full job details