1,000+ matching jobs for “DevOps Engineer”

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Amgen

Senior Data Science Engineer

India - Hyderabad

Senior Data Science Engineer What you will do Let's do this. Let's change the world. Amgen is expanding its global Data Science …

Added Oct 18, 2026

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Booz Allen Hamilton

Cloud Infrastructure Engineer

Colorado Springs, Colorado, United States +1 location

Pay posted by employer$86,800–$198,000

Cloud Infrastructure Engineer The Opportunity: Everyone is trying to “harness the cloud,” but not everyone knows how. As an experienced …

Added Oct 28, 2026

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Palo Alto Networks

Staff Software Engineer

Office - India - Pune 3 postings

Job Description We are seeking a Staff Software Engineer to drive technical execution and contribute to the ongoing evolution of our platform. In this role, you …

Added Oct 27, 2026

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Applied Materials

FPGA Engineer III

Rochester, New York, United States

Pay posted by employer$156,000–$214,500

… and care for you at work, at home, or wherever you may go. Learn more about our benefits . As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies—like machine learning and AI—to …

Added Oct 27, 2026

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Boeing

Software Engineer–DevSecOps

USA - Berkeley, MO

In person
Full time
Regular

Pay posted by employer$91,800–$124,200

… development Experience with DevSecOps and/or complex software build plans Experience with application DevOps tools, such as GitLab (CI/CD), Git Bash, Gradle, Maven, Jenkins, and Artifactory. Experience with …

Added Oct 13, 2026

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Visa

Sr. SW Test Engineer

Singapore, Singapore

… for enabling secure access to business portals and associated services. The Senior Software Test Engineer will help ensure quality, security, release readiness, and platform stability for B2B IAM applications. …

Added Oct 27, 2026

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Amgen

Principal Machine Learning Engineer

India - Hyderabad

Full time
Regular

Principal Machine Learning Engineer Role Name: Principal Machine Learning Engineer Department Name: AI & Data Science Role GCF: 6A ABOUT AMGEN …

Added Oct 15, 2026

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Amgen

Principal Machine Learning Engineer

India - Hyderabad

Full time
Regular

Principal Machine Learning Engineer Role Name: Principal Machine Learning Engineer Department Name: AI & Data Science Role GCF: 6A Hiring …

Added Oct 15, 2026

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Nike

Software Engineer III, ITC

Karnataka, India

… and building world class solutions to serve Nike teams and consumers around the globe. As a Senior Software Engineer for the Geographies & Marketplace Experiences team, you will be part of a mission critical team focused on …

Added Oct 28, 2026

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Walmart

(USA) Distinguished, Software Engineer

Bellevue, Washington, United States

Pay posted by employer$156,000–$312,000 per year

... What you'll do... Role summary: The (USA) Distinguished Software Engineer leads the design and development of scalable, cloud-native AI-powered systems, ensuring architectural …

Added Oct 27, 2026

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C.H. Robinson Worldwide

Software Engineer III

Minnesota Remote +2 locations

Full time
Regular

Pay posted by employer$102,700–$231,100

Added Nov 3, 2026

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GE HealthCare Technologies

Staff Software Engineer

Bengaluru, Karnataka, India

… tests, Lighthouse/Core Web Vitals performance budgets in CI/CD, and accessibility checks (WCAG 2.1 AA). DevOps & operations: Own Cloud Manager pipelines, environments, release management and production support, …

Added Oct 29, 2026

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Walmart

STAFF, SOFTWARE ENGINEER

IN KA BANGALORE Home Office PTPP2

... What you'll do... Job Description Summary: We are looking for Staff Engineer who can drive design, architecture & delivery of our next generation platforms keeping scalability, …

Added Oct 27, 2026

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Procter & Gamble

Senior AI Engineer

WARSAW DOWNTOWN OFFICE

… for a technical lead for the Reusable AI team within the Senior AI Engineering community. As a Senior AI Engineer, and as a Technical Lead for Reusable AI you will : - Lead the technical and architectural decisions for …

Added Oct 27, 2026

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Cisco Systems

Solutions Engineer - Splunk

London, England, United Kingdom

… seeks a highly motivated, outcome-focused individual to join our Solutions Engineering team as a Solutions Engineer (SE). As a Splunk SE, you’ll be a technical sales resource for the UK Commercial Sales team supporting our …

Added Oct 27, 2026

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Booz Allen Hamilton

Site Reliability Engineer

Wright Patterson AFB, OH

Pay posted by employer$99,000–$225,000

Site Reliability Engineer The Opportunity: As a Lead Site Reliability Engineer (SRE) on our team, you’ll be responsible for ensuring …

Added Oct 27, 2026

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Ingram Micro Holding

Sr. Engineer, Software Development

Mumbai, Maharashtra, India

… and maintain RESTful APIs and system integrations. Collaboration & Delivery Collaborate with principal engineer, solution architect, QA Engineers, and DevOps teams to deliver high-quality software solutions. Participate …

Added Nov 6, 2026

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Rockwell Automation

MES Software Engineer

Huntsville, Alabama, United States

Full time

The MES Software Engineer is responsible for the design, development, integration, deployment, and support of Manufacturing Execution …

Added Oct 27, 2026

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Bank of America

Software Engineer II

Jersey City, New Jersey, United States

Pay posted by employer$88,800–$145,000

… for the respective lines of business Managing a team of developers both onshore and offshore Software Engineer dedicated to Capital Markets Technology, with focus on building and managing end to end Capital Markets …

Added Oct 27, 2026

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Thermo Fisher Scientific

Software Test Engineer

Brno, South Moravian, Czechia

… quality and reliability of cutting-edge software used in electron microscopy. As a Software Test Automation Engineer , you'll work on an innovative application that automates the preparation of thin biological samples, known …

Added Oct 25, 2026

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Amgen

Principal Machine Learning Engineer

India - Hyderabad

Full time
Regular

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Skills · employer excerpt

Overall career span of 10-12+ years building production-grade technology solutions with 3-5 years of hands-on experience in AI/ML and enterprise software.
Strong command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the…
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, LangGraph, Semantic Kernel).
Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).

2 more in the full description below.

About this opportunity

Original employer description

Career Category

Engineering

Job Description

Principal Machine Learning Engineer

Role Name: Principal Machine Learning Engineer

Department Name: AI & Data Science

Role GCF: 6A

Hiring Manager Name: Aman Shah

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

Role Description:

We are seeking a Principal Machine Learning Engineer—Amgen’s most senior individual-contributor leader—to build and scale end-to-end machine-learning and generative-AI solutions for enterprise use cases. Sitting at the intersection of engineering excellence, platform enablement and business impact, you will develop, deploy and monitor models—classical ML, deep learning and LLM-based solutions—securely, responsibly and cost-effectively. Acting as a player-coach, you will define technical standards, shape AI solution strategy, establish reusable patterns and reference architectures, and partner with DevOps, Security, Compliance, Product and business teams to deliver enterprise-grade AI solutions in a regulated environment.

Roles & Responsibilities:

Own enterprise AI/ML architecture, engineering standards, APIs, guardrails and reusable patterns across cloud and on-prem environments.
Build production ML/GenAI solutions and lightweight applications that deliver business-ready insights with performance, reliability and usability in mind.
Build end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks.
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency.
Establish observability and operational excellence through SLOs, safe deployment patterns (blue-green/canary, shadow, rollbacks), incident runbooks and production monitoring.
Lead rigorous evaluation (offline/online, A/B), drift detection, and automated retraining.
Architect LLM/RAG solutions with prompt management, grounding strategies, safety guardrails, evaluation frameworks and optimized inference patterns.
Enforce data quality, lineage and responsible AI practices by maintaining model/data cards, privacy controls, traceability, auditability and human oversight where required.
Contribute reusable ML/GenAI platform components—feature stores, model registries, experiment-tracking libraries, evaluation assets and deployment templates—and evangelize best practices that raise engineering velocity across teams.
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness.
Prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs.
Translate domain needs across R&D, Manufacturing and Commercial functions into technical roadmaps; influence solution design, mentor engineers and data scientists, and communicate trade-offs clearly to senior stakeholders.

Lead architecture reviews and technical governance for enterprise AI initiatives, making sound build-vs-buy decisions and ensuring alignment with security, compliance and platform standards.

Drive adoption in regulated environments by embedding validation readiness, explainability, risk controls and scalable operating practices into AI solutions from design through production.

Must-Have Skills:

Overall career span of 10-12+ years building production-grade technology solutions with 3-5 years of hands-on experience in AI/ML and enterprise software.
Strong command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the judgment to choose, tune and operationalize the right method for a given business problem.
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, LangGraph, Semantic Kernel).
Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).
Strong ability to evaluate technical and business trade-offs, including cost, scalability, risk, ROI and time-to-value, and present recommendations to senior stakeholders.
Exceptional stakeholder management and technical leadership; able to translate complex concepts into concise, outcome-oriented narratives and influence decisions across engineering, product and business teams.

Good-to-Have Skills:

Experience in Biotechnology or pharma industry is a big plus
Exposure to Value and Access, market access, payer, commercial analytics or related healthcare business domains is preferred.
Experience delivering AI/ML solutions in regulated environments with familiarity in validation, auditability, explainability and risk controls is a plus.
Published thought-leadership or conference talks on enterprise GenAI adoption.
Master’s degree in Computer Science and or Data Science
Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.

Education and Professional Certifications

Master’s degree with 10-12 + years of experience in Computer Science, IT or related field

Bachelor’s degree with 12-14 + years of experience in Computer Science, IT or related field
Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.

Soft Skills:

Excellent analytical and troubleshooting skills.
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation.
Ability to manage multiple priorities successfully.
Team-oriented, with a focus on achieving team goals.
Ability to learn quickly, be organized and detail oriented.
Strong presentation and public speaking skills.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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Keywords also found in description

Full time
Regular
Technology

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