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SENIOR SOLUTIONS ARCHITECT WHAT IS THE OPPORTUNITY? Senior Solution Architect is responsible for designing, developing and maintaining on-premises and cloud native applications. Participates in improving our SDLC, Engineering, and DevOps practices. Develops both front-end and back-end solutions. Designs, develops and maintains solutions, and provides technical guidance to other Team Members. Participates in creating SDLC, Architecture, Design and Coding standards. Identifies complex business problems and participates in generating solutions. Identifies performance issues, analyzes root causes and participates in performance improvement activities. Participates in remedying compliance issues. Documents and communicates problems, designs and solutions. WHAT WILL YOU DO? Lead the design and development of cross-functional, multi-platform application systems Writing great quality code driving towards automated testing and validations Perform analysis of performance; plan and execute activities for performance tuning, monitoring, deployment and production support Guide and support the implementation, maintenance and updates of CI/CD pipelines on a cloud environment Collaborate with business partners, architects and other groups to identify complex technical and functional needs of systems Collaborate with multiple, enterprise-wide distributed performing teams to deliver new capabilities in business applications Design and develop API's for Omni-channel clients Look for opportunities to simplify code, existing or new architectures and vendor dependencies Recommend rationalization opportunities throughout the portfolio of applications and systems Provide technical guidance to team members and solution architects Build APIs and UIs that deal with large volume of transactions and involves large data sets Own the full lifecycle for software development, from ideation to production Provide programming expertise and business analysis skills within broad business areas; as a senior member of a project team participate in analyzing, designing, modifying, and developing business applications Participate in solution designs to meet technical specifications - guide team members and solution architects Create and recommend changes in development standards including design, coding and testing standards Analyze and develop data models, logical database designs and data definitions across multiple computing environments (e.g., host based, distributed systems, client server, etc.) Comply with architectural standards and established methodologies and practices WHAT DO YOU NEED TO SUCCEED? Required Qualifications Bachelor's Degree or equivalent Minimum of 10+ years of software development experience including UI as well as middle tier and backend Minimum of 6+ years of solution architecture Additional Qualifications 6+ years of experience Cloud Solution Architecture Experience (Azure a plus)-Primary focus will be Microsoft Technologies and .NET - however, experience with Java and/or AWS is a plus 6+ years of experience Microservices Architecture 6+ years of experience designing REST APIs 6+Experience working in fully DevOps enabled environment 6+ years of experience with databases and data modeling / design (SQL and NoSQL plus) 4+ years of experience designing in the context of workflows and rules Need strong communication skills - in addition to designing solutions, this role will be the primary driver of getting our technology and designs approved for use. This will require close partnership with Enterprise Architecture, InfoSec and other teams - and strong communication, presentation and collaboration skills Experience designing using containers and container orchestration platform (AKS) plus 4+year of experience designing asynchronous/ event driven as well as synchronous systems 4+years of experience incorporating security into the application architecture Experience with developing architecture, coding standards and patterns Experience with developing architecture, coding standards and patterns Large application design and implementation experience including architecture and design of modern web, mobile, and integration (cloud/on-premises) platforms Excellent verbal and written communications, interpersonal, and analytical skills is required. Experience with Agile development methodology including Scrum, XP, FDD, TDD, and SAFe. Extensive experience with API management toolsets, DevOps, server infrastructure, network infrastructure, caching methodologies, information security, and database technologies Proven track record in generating alternative solution approaches and driving a pragmatic trade-off solution Proven track record of optimizing the development activities with a strong focus on DevOps and automation Significant experience documenting solution designs using a variety of approaches (e.g. using UML) Solid Experience with DDD, TDD and BDD - ability to direct and guide the team through these approaches Proven ability to learn new technologies and evaluate for fitness into a specific business context through POCs and other evaluations Deep experience with reviewing code and suggesting refactoring for performance, quality and maintainability and other attributes Experienced in designing APIs, scale and secure them. Ability to integrate with internal and external systems and secure those integrations Experience integrating systems and applications with CRM systems like Salesforce Ability to operate and guide the team in all areas of the technology stack - front, middle tier and the backend Ability to quickly learn new technologies and evaluate for fit into a specific business context through POCs and other evaluations - ability to orchestrate POCs and evaluations Ability to review code and suggest refactoring for performance, quality and maintainability and guide the team through related activities Experience with following technologies: C#/.Net, Java, Python, JavaScript, TypeScript, Angular/REACT, CSS, HTML SQL, AKS, Azure DevOps, NoSQL, Azure, AWS, Serverless OAuth, SAML, APIM WHAT'S IN IT FOR YOU? Compensation Starting base salary: $122,535 - $208,715 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions. Benefits and Perks At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including: Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date Generous 401(k) company matching contribution Career Development through Tuition Reimbursement and other internal upskilling and training resources Valued Time Away benefits including vacation, sick and volunteer time Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs Career Mobility support from a dedicated recruitment team Colleague Resource Groups to support networking and community engagement Get a more detailed look at our Benefits and Perks. ABOUT US Since day one we've always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America's leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us. INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. accepts applications on an ongoing basis, until filled. Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job.

Senior Backend Engineer opportunity with a high-traction early-stage startup building next-gen private market infrastructure. This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $220,000 per year A bit about us: Senior Software Engineer (Backend Focus) San Francisco - 4 days/week working in office Compensation: $175 - $220k base salary + equity We're partnered with an early-stage, venture-backed technology company building infrastructure that supports sophisticated participants across the private capital ecosystem. Their platform blends institutional-quality data, analytics, and marketplace capabilities to power complex investment workflows. The company has already established strong traction with reputable financial institutions and meaningful activity across its platform, and is now entering its next phase of product expansion. They're looking to bring on a Senior Backend Engineer who will help scale backend systems and contribute to accelerating product development. This position offers meaningful ownership and collaboration with technical leadership on architecture decisions, data platform evolution, and integrations that enable advanced user workflows. Why join us? Real Product Traction - Not Just Vision Join a startup that has already built meaningful adoption with sophisticated institutional users and is actively supporting real transactions and decision-making workflows today. High Ownership, High Impact You'll shape core platform systems, influence architecture decisions, and see your work directly affect customers and product direction. Early-Stage Upside with Established Momentum Step into a phase where foundational risk has been reduced, but there's still meaningful room to influence the roadmap, technical direction, and long-term platform evolution. Engineering Culture Built for Builders Work alongside pragmatic, low-ego engineers who value speed, quality, thoughtful decision-making and embrace modern tooling and AI-assisted workflows to accelerate output. Exposure to Complex, Interesting Problems Tackle challenges around data normalization, system scalability, distributed architecture, and AI-enabled integrations Career Growth Through Responsibility Take ownership of meaningful technical surface area early, with opportunities to expand scope, deepen architectural influence, and grow alongside the company. Office Collaboration Environment Work closely with product and engineering leadership in-person while maintaining flexibility that supports productivity and focus. Job Details Responsibilities Design, build, and maintain backend services and APIs supporting core product functionality Develop scalable systems that ingest, structure, and enhance data from fragmented or unstructured sources Create pipelines that convert raw inputs into reliable, high-quality datasets for downstream use Support integrations enabling programmatic access to platform data, including AI-driven interaction layers Contribute to the evolution of modular, event-driven system architecture Participate in system design discussions, technical planning, and engineering prioritization Own significant platform components from concept through production Ideal Background Based in the San Francisco Bay Area and able to work onsite 4 days/week in downtown SF 3-6 years of professional software engineering experience with backend or backend-leaning full-stack focus Experience operating in startup or high-growth environments preferred Strong proficiency in TypeScript or another statically typed language (Scala, Rust, Haskell, etc.) Track record of building production-grade systems and contributing to architectural decisions Comfortable incorporating modern AI-assisted development tools into daily workflow Ability to deliver scalable, maintainable systems at a fast pace Collaborative, pragmatic, and ownership-oriented mindset Eagerness to grow technical scope and responsibility over time Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Fantastic Opportunity for a Safety Manager to learn from the best of the best in the Construction space! This Jobot Job is hosted by: Kelly Anne Wight Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $95,000 - $110,000 per year A bit about us: We are partnered with a top General Contractor who has a phenomenal reputation in the Wisconsin market, as well as nationally. They are on the search for someone who still wants to grow with a firm. The company has been in business over 100 years with a very strong pipeline in the area. They are looking to expand their construction team as part of their growth plan by hiring a Safety Manager to take on some key responsibilities. Why join us? Base salary dependent on experience Performance based bonus Health Benefits 401k Match Maternity and Paternity Leave 3+ weeks PTO Retirement Savings Plan Telecommuting and flexible working Career development opportunities Additional Perks Job Details Qualifications: 1. A minimum of 10+ years of experience in a similar role within the construction industry. 2. Bachelor's degree in Safety Management, Engineering, or a related field. 3. Certified Safety Professional (CSP) or equivalent certification is preferred. 4. Proven experience in site safety management, incident investigation, and quality management. 5. Comprehensive understanding of local, state, and federal safety regulations. 6. Proficient in using safety inspection tools and equipment. 7. Excellent communication and interpersonal skills, with the ability to train and influence others. 8. Strong problem-solving abilities and attention to detail. 9. Ability to work independently and collaboratively in a fast-paced environment. 10. Demonstrated leadership skills and the ability to make sound decisions under pressure. If you are passionate about safety, thrive in a challenging environment, and are ready to make a significant impact on our safety culture, we would love to hear from you. Apply today and take the next step in your career as a Permanent Safety Specialist in the Construction Industry. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

This position supports hybrid work schedule depending on organization needs. RESPONSIBILITIES: Architect, design, and maintain scalable CI/CD pipelines using Azure/AWS DevSecOps. Build and optimize Docker-based microservices, images, and deployment pipelines. Lead deployments across Docker Swarm, Kubernetes/EKS, and multi-location environments. Develop infrastructure automation using Ansible, bash scripting, Terraform and Git-based workflow. Manage release pipelines using container registries, artifact feeds, template pipelines, and multi-stage workflows. Design multi-environment strategies for dev, QA, staging, and production deployment. Implement cloud-native services with AWS & Azure cloud platforms. Implement basic security practices, including IAM roles, secrets management, and access controls. Develop secure, modular, reusable build and release systems. Work closely with full-stack engineering teams (Angular, Java, Python , backend APIs, database engineers). Mentor junior DevOps engineers and lead DevOps roadmap decisions. KNOWLEDGE REQUIREMENTS: DevOps Expertise: Azure DevOps pipelines, YAML templating, CI/CD strategy, Git branching models. Containerization & Orchestration: Docker images, Docker Compose, Docker Swarm, multi-node/multi-location deployments. CloudTechnologies: Azure deployments & infrastructure, AWS (IAM, Lambda, S3, CloudWatch). Programming / Scripting Languages: Python, Bash, Linux/Unix administration, awk, shell automation, groovy. Infrastructure Automation: Ansible playbooks, tasks/roles, inventory design, configuration management. Distributed Deployment Architecture: Multi-site replication, node selection by IP, dynamic service routing. Database Stack Experience: PostgreSQL, MySQL, MariaDB operations & migrations. Observability & Logging: CloudWatch monitoring, log collection, Prometheus, Grafana, reporting & metrics. Version Control & Build Systems: Azure Devops, Git, Git submodules, artifact storage, registry solutions, Secrets Management. Nice to have AI knowledge/experience and willingness to learn. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science or related field. MS preferred. 7+ years experience in a software devops/development/test capacity with enterprise server, storage or networking products.

Tennis Channel is building a high-quality Direct-to-Consumer (DTC) streaming platform across mobile, hybrid, and living room devices. As we scale, we need someone who can own and elevate our test automation infrastructure, embedding intelligence and AI support into our QA workflows. As the SDET, you'll be the first test automation engineer responsible for architecting and building automation frameworks, integrating AI/ML tools for test generation or validation, and ensuring high-quality releases across iOS, Android, hybrid (React Native), and backend systems. You'll set up the foundation of how we ship software reliably across platforms, collaborating deeply with product, development, and operations to ensure we release with confidence. You'll bring creativity to quality; leveraging AI, automation, and tooling to dramatically reduce manual effort; while having strong ownership within a small, agile team where your decisions and contributions directly impact product quality. In this early-stage environment, you'll also help define the culture of engineering and quality as we build a world-class streaming experience from the ground up. This role is onsite and located in Seattle, WA. Key Responsibilities Lead design, implementation, and maintenance of test automation frameworks, tools, and infrastructure across platforms (mobile, hybrid, backend, APIs). Build tools, scripts, or capabilities using AI / ML-assisted test generation, test case optimization, or anomaly detection to improve coverage and reduce manual effort. Create and own test suites: unit, integration, UI, end-to-end, regression, performance, load, and stress tests. Integrate test automation into CI/CD pipelines, gate builds, and automate release validations. Collaborate with mobile, hybrid, and backend engineers to define testing strategies, API contracts, failure modes, and observability for testability. Instrument test environments, monitor test health, coverage, flakiness, and reliability metrics. Design test data management, mocking, virtualization, and service simulation setups for cross-system testing. Continuously improve test architecture, reduce test execution times, and scale for parallel / distributed test runs. Troubleshoot production / pre-production issues that surface via automated test failures; investigate root causes, define fixes, and improve resilience. Stay up-to-date on AI / ML tooling (e.g. GPT-based test generation, self-healing tests, anomaly detection) and propose adoption strategies. Basic Qualifications Bachelor's degree in computer science, engineering, or equivalent experience 5+ years of software engineering or QA/automation experience, with strong emphasis on test automation Proficiency in at least one programming language (e.g. Java, Kotlin, Swift, Python, JavaScript/TypeScript) Experience building and maintaining test frameworks (e.g. XCTest / XCTest UI, Espresso, Detox, Appium, Playwright, Selenium, Robot Framework, etc.) Familiarity with CI/CD, test runners, parallel / distributed execution (e.g. Jenkins, GitHub Actions, Bitrise, CircleCI) Deep understanding of API testing, contract testing, mocking / stubbing, and test data strategies Experience with performance/load testing tools (e.g. JMeter, Gatling, K6, Locust) and monitoring test metrics Strong debugging and instrumentation skills Understanding of software engineering best practices: modular architecture, maintainability, observability, and reliability Preferred Qualifications Experience applying AI / ML in testing, e.g. test-case generation, self-healing scripts, anomaly detection Experience with mobile / hybrid / TV / living room test stacks (iOS, Android, React Native, tvOS) Experience in media / streaming apps, where video, DRM, adaptive bitrate streaming, and edge conditions matter Experience with performance / load testing on streaming pipelines Familiarity with infrastructure as code, containerization, and cloud test environments Knowledge of monitoring, logging, tracing, and how to incorporate them into test validation Experience optimizing test execution time, flakiness, and parallel scaling Passion for quality, automation, and developer productivity Tennis Channel is proud to be equal opportunity employer and a drug free workplace. Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law. About PickleballTV Pickleballtv (PBTV) is the 24-hour television home of America's fastest growing sport. With coverage of tournaments throughout the year, the network offers 1,000+ hours of live matches from the game's top professionals and biggest stars. PBTV also provides viewers with first-class instruction, exclusive lifestyle programming and studio news content and more. About Tennis Channel Tennis Channel is the media home to two twenty-four-hour television networks, a subscription streaming service, online magazine and podcasts dedicated to the sport and its unique lifestyle. The tennis-media hub is home to every aspect of the wide-ranging, worldwide tennis community. Tennis Channel is carried nationwide by every one of the top ten pay-TV service providers. About Sinclair Sinclair, Inc. (Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports. The Company owns, operates and/or provides services to 178 television stations in 81 markets affiliated with all major broadcast networks; owns Tennis Channel, the premium destination for tennis enthusiasts; multicast networks CHARGE, Comet, ROAR and The Nest. Sinclair's AMP Media produces a growing portfolio of digital content and original podcasts. Additional information about Sinclair can be found at . About the Team The life-blood of our organization is our people. We have a compelling story, a goal-oriented culture, and we take really good care of people. How good? Here is a glimpse: great benefits, open-door policy, upward mobility and a strong desire to see you succeed. Ready to be part of a winning team? Let's talk. The base salary compensation range for this role is $120,000 to $155,000. Final compensation for this role will be determined by various factors such as a candidates' relevant work experience, skills, certifications, and geographic location. Full time positions are eligible for benefits that include participation in a retirement plan, life and disability insurance, health, dental and vision plans, flexible spending accounts, sick leave, vacation time, personal time, parental leave and employee stock purchase plan.

This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $180,000 per year A bit about us: Our Client builds agentic automation software for credit unions and community banks, turning slow, error-prone loan operations into fast, autonomous, and reliable workflows. Our platform orchestrates document ingestion, data validation, borrower communication, and downstream integrations using autonomous agents that must be correct, observable, and resilient. This is production software. Failures matter. Observability is required. Ownership is non-negotiable. For the past decade, we've mastered deploying autonomous agents in one of the most tightly controlled industries - even engineering ways to operate without APIs in systems designed to resist automation. Today, we're building Agent Valeria, the first-ever indirect loan packet reviewer that can audit applications end-to-end and deliver compliance decisions autonomously. By solving the slowest, most error-prone part of lending, we are accelerating lending velocity, reducing mistakes, and reshaping how banks and credit unions work. This is a rare greenfield opportunity to leave a lasting mark on an entire industry, building systems that matter, re-shape how work is done, and endure. We are a lean, bootstrapped team operating 15+ customer systems at scale. Every engineer carries meaningful responsibility. We are self-sustaining and control our financial destiny. Why join us? Big impact - Join a core team where your code directly affects users and outcomes. Hands-on autonomy - You'll own projects end-to-end and help shape system architecture from the ground up. Smart, no-fluff culture - Work with a team that values clarity, extreme ownership, and fast iteration. Mission-driven - Build tools that help community banks compete in a world of megafintech. Startup agility - Ship daily. Influence product. Leave a legacy. If you like building durable, production-grade systems that solve real problems-and doing it alongside talented engineers who care deeply about their craft-this is the place. Job Details The Role (Read-Carefully) This is a hands-on, senior individual contributor role on a small, high-throughput platform team. You will own and operate real production systems. You will ship to production early. You will be on-call for the systems you touch. You will be expected to design your part well - and live with the consequences. This role is not about exploration, endless design, or theoretical elegance. It is about turning ambiguity into working systems under pressure. If you are looking for: A gentle ramp A large team with safety nets A role where someone else owns production This is not the job. What You Will Do Own one or more production agent workflows or platform components end-to-end Build and operate event-driven systems processing thousands of records per job and millions of events per day Design for failure: retries, DLQs, isolation boundaries, alarms, and recovery paths Add telemetry and dashboards to understand job state, throughput, and failure modes Ship changes safely using CI/CD checks and deployment guardrails Participate in on-call rotation and incident response Debug production issues with incomplete information and time pressure Make tradeoffs explicit and ship decision artifacts (code, docs, fixes) Improve code quality, tests, and operational clarity in areas you own Work closely with the CEO, COO, and senior engineer on real system constraints What You Bring (Non-negotiable) Strong Ruby fundamentals as a design tool (encapsulation, boundaries, responsibility), not just syntax Hands-on experience shipping and operating production systems you personally supported Real-world AWS experience, especially Lambda, SQS, EventBridge, S3, CloudWatch Firsthand experience with: Lambda limits and failure modes Retries, DLQs, timeouts, and backpressure Cost, blast radius, and operational tradeoffs Comfort making decisions with incomplete data and shipping anyway Willingness to be on-call and accountable for outcomes Clear communicator who externalizes thinking and closes loops Disqualifiers (Read Honestly) Only academic, tutorial, or toy-project experience No on-call or incident ownership "I was part of the team" without first-person responsibility Service-name listing without discussion of outcomes or tradeoffs Preference for extended exploration over shipping Avoidance of pressure, accountability, or ownership Nice to Have Experience in fintech, banking, or regulated environments Exposure to automation, orchestration, or workflow engines Experience operating multi-tenant systems at scale Familiarity with CI/CD pipelines and deployment safety mechanisms How We Work Small team. Real ownership. We ship frequently. We design for failure. We expect engineers to understand how their code behaves in production. We value clarity, judgment, and durability over polish. Feedback is direct. Responsibility is real. The Reality Check This is a small tiger team. Long hours at times. Occasional weekends. Ambiguous problems. Little guidance. Solo ownership. Average pay. High responsibility. Failure is possible. In return: Meaningful ownership Recognition The chance to build systems that matter - and last Growth Path This role is already senior in responsibility. Success means: You reliably own and operate production systems You reduce failure rates and improve visibility You earn deeper architectural ownership through trust, not tenure Professional and financial growth comes from taking on meaningful responsibility and delivering outcomes that enable Shastic to seize a rare, high-impact opportunity. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

An innovative AI-driven technology company is seeking a Staff Backend Engineer to help build the core infrastructure behind its real-time platform This Jobot Job is hosted by: Tarek Hamzeh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: Staff Backend Engineer Location: San Francisco, CA (On-site / Relocation Available) About the Role An innovative AI-driven technology company is seeking a Staff Backend Engineer to help build the core infrastructure behind its real-time platform used by professionals in high-stakes environments. As a senior engineer, you'll architect and scale critical backend systems, influence key technical decisions, and lead major product initiatives that directly impact end users. This role is ideal for someone who thrives in fast-paced, high-growth startup environments and wants to shape the long-term technical foundation of a mission-driven product. Why join us? Innovative Impact: Join a fast-growing healthcare technology company transforming the way clinicians deliver care with cutting-edge AI solutions. Collaborative Culture: Work alongside passionate, cross-functional teams that value creativity, problem-solving, and real-world impact. Career Growth: Opportunities to lead high-impact projects, shape product direction, and grow in a supportive, mission-driven environment. San Francisco Location: Be part of a vibrant tech hub with access to industry events, networking, and a thriving professional community. Job Details What You'll Do Design and architect major backend features that leverage cutting-edge AI to deliver seamless user experiences. Anticipate scaling challenges and proactively re-architect systems to ensure reliability, performance, and long-term stability. Lead high-impact product and infrastructure initiatives, driving rapid iteration while minimizing technical debt. Own the full lifecycle of significant technical projects-from system design to deployment. Help establish engineering standards, processes, and best practices to support a high-quality, fast-moving development culture. Who You Are 5+ years of experience building and scaling backend systems, especially in distributed environments. Skilled in modern infrastructure and backend tooling, such as: Cloud platforms (AWS, GCP) Containers (Docker) Messaging/queuing systems (Kafka) Relational databases (Postgres) Capable of deep hands-on technical work while also mentoring engineers and influencing architectural direction. Adept at owning end-to-end execution and navigating complex technical trade-offs. Comfortable operating in environments with ambiguity and rapid change. Values collaboration, kindness, and contributing to a positive, mission-aligned engineering culture. Healthcare experience not required-startup experience and adaptability are highly valued. Work Environment This role is hybrid, with in-office collaboration 3 days per week at the San Francisco office. Interview Process Recruiter Screen - Introductory conversation to align on experience, interest, and role expectations. Technical Phone Interview - A 1-hour live coding session focused on progressive data structures and algorithms problems. Work Trial Project - A compensated take-home assignment simulating real backend work, including system design and scalability considerations. Final Panel - Hiring Manager Interview: Deep dive into your experience, achievements, and career progression. Behavioral Interview: Discussion around impactful projects, problem-solving approaches, and collaboration style. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Civil Engineer / $80k-$120k / Excellent Culture! This Jobot Job is hosted by: Matt Desiderio Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $80,000 - $120,000 per year A bit about us: We are a civil engineering firm that does site design for several public and private clients. We have 155+ employees across 5 offices and value each individual. We work on a wide variety of projects including: mixed-use commercial developments, urban and suburban multifamily, healthcare, office, high-end resort, and parks and recreation. Why join us? Strong compensation package which includes a base salary, bonuses distributed 2-3 times per year (12%-15% or more), 401k match, Wellness Program Stipend, Healthcare, etc. - Tremendous growth opportunity! - GROW YOUR INCOME QUICKLY: Annual review in September, a mid-year review also which happens around March; Usually during those 2 times is when promotions happen that come along with pay increases - Family-oriented, excellent culture, tight-knit group Job Details REQUIREMENTS: - 4-8+ years of experience in civil engineering, land development, site design; PE or on track to obtain it - AutoCad Civil 3D proficiency RESPONSIBILITIES: - Design & project management for land development projects; Coordinate with clients, outside consultants, project team members, government/municipal officials, and permitting - Prepare a complete set of construction documents for multiple project types in various jurisdictions with assistance from civil engineering staff (Zoning Issues, Stormwater Design, Subdivision and Commercial Site Layouts, Project Permitting, Project Schedules and Budgets, Preliminary Plats, SWPPP, Grading, Drainage, Water, and Sewer Systems) - Lead and support civil design for land development projects, including stormwater, utility, and site layout - Manage project schedules, budgets, documentation, and QA/QC processes - Mentor junior engineers and designers while continuing to develop your leadership skills - Support construction administration, prepare permitting packages, and troubleshoot field issues with practical solutions Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Senior Backend Engineer opportunity with a high-traction early-stage startup building next-gen private market infrastructure. This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $220,000 per year A bit about us: Senior Software Engineer (Backend Focus) San Francisco - 4 days/week working in office Compensation: $175 - $220k base salary + equity We're partnered with an early-stage, venture-backed technology company building infrastructure that supports sophisticated participants across the private capital ecosystem. Their platform blends institutional-quality data, analytics, and marketplace capabilities to power complex investment workflows. The company has already established strong traction with reputable financial institutions and meaningful activity across its platform, and is now entering its next phase of product expansion. They're looking to bring on a Senior Backend Engineer who will help scale backend systems and contribute to accelerating product development. This position offers meaningful ownership and collaboration with technical leadership on architecture decisions, data platform evolution, and integrations that enable advanced user workflows. Why join us? Real Product Traction - Not Just Vision Join a startup that has already built meaningful adoption with sophisticated institutional users and is actively supporting real transactions and decision-making workflows today. High Ownership, High Impact You'll shape core platform systems, influence architecture decisions, and see your work directly affect customers and product direction. Early-Stage Upside with Established Momentum Step into a phase where foundational risk has been reduced, but there's still meaningful room to influence the roadmap, technical direction, and long-term platform evolution. Engineering Culture Built for Builders Work alongside pragmatic, low-ego engineers who value speed, quality, thoughtful decision-making and embrace modern tooling and AI-assisted workflows to accelerate output. Exposure to Complex, Interesting Problems Tackle challenges around data normalization, system scalability, distributed architecture, and AI-enabled integrations Career Growth Through Responsibility Take ownership of meaningful technical surface area early, with opportunities to expand scope, deepen architectural influence, and grow alongside the company. Office Collaboration Environment Work closely with product and engineering leadership in-person while maintaining flexibility that supports productivity and focus. Job Details Responsibilities Design, build, and maintain backend services and APIs supporting core product functionality Develop scalable systems that ingest, structure, and enhance data from fragmented or unstructured sources Create pipelines that convert raw inputs into reliable, high-quality datasets for downstream use Support integrations enabling programmatic access to platform data, including AI-driven interaction layers Contribute to the evolution of modular, event-driven system architecture Participate in system design discussions, technical planning, and engineering prioritization Own significant platform components from concept through production Ideal Background Based in the San Francisco Bay Area and able to work onsite 4 days/week in downtown SF 3-6 years of professional software engineering experience with backend or backend-leaning full-stack focus Experience operating in startup or high-growth environments preferred Strong proficiency in TypeScript or another statically typed language (Scala, Rust, Haskell, etc.) Track record of building production-grade systems and contributing to architectural decisions Comfortable incorporating modern AI-assisted development tools into daily workflow Ability to deliver scalable, maintainable systems at a fast pace Collaborative, pragmatic, and ownership-oriented mindset Eagerness to grow technical scope and responsibility over time Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Design, deploy, and scale machine learning systems that power modern data platforms This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning-designing and delivering real-world solutions that move beyond experimentation into production. With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work. Why join us? Competitive Compensation: $140,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details Machine Learning Solutions Architect (Remote - U.S.) This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems-partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value. What You'll Do: Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management Architect and build environments that enable data scientists to develop and deploy models efficiently Define deployment strategies and infrastructure to ensure models operate reliably in production Work directly within customer systems to extract, transform, and prepare data for analytics and ML use cases Partner with data scientists to convert experimental models into scalable, maintainable solutions Design operational testing strategies and oversee QA, validation, deployment, and ongoing optimization Provide technical thought leadership across application, data, and infrastructure layers What We're Looking For: 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer Hands-on experience deploying ML models into production environments Strong programming skills in Python, Scala, Java, or similar languages Experience building and operating robust data pipelines and distributed systems Solid SQL expertise with experience optimizing complex queries Familiarity with modern data platforms such as Spark, Snowflake, Databricks, or similar Working knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystems Experience developing APIs and backend services (e.g., Flask, Django, Spring) Excellent communication skills and comfort working with both technical and business stakeholders Nice to Have: Advanced degree in data science or a related field Experience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.) Docker and Kubernetes experience Exposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platforms Open-source contributions or relevant side projects Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: