Platform Engineering Lead Jobs
Platform Engineering Lead jobs are open across fintech, healthtech, enterprise software, and cloud services, from senior engineer to staff and principal levels, with specializations in Kubernetes orchestration, developer experience, and internal platform tooling. Find a role that fits from the openings below and apply directly.
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SUMMARY
This position can be based remotely anywhere in the U.S. Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager.
ABOUT THE ROLE
The Strategy, Platforms & Transformation team is dedicated to enabling improved decision-making at Novartis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. We work within the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. This role is crucial in driving AI transformation by bringing the best in AI and tech to unlock opportunities for growth and improve patient outcomes.
The Executive Director, AI Platform Engineering Lead will lead the engineering strategy, delivery, and operational excellence for the organization’s agentic AI platform, with responsibility spanning platform architecture, development, integration, operations, reliability, and continuous improvement. This role will be central to enabling the transformation of existing processes, products, and services into agentic AI products and intelligent workflows by providing a scalable, secure, and high performing platform foundation. The ideal candidate will bring deep engineering leadership, platform thinking, and technical vision to guide the design and evolution of core AI capabilities, establish engineering standards and operating models, and lead cross functional teams in delivering resilient and extensible platform services. Working closely with product leaders, business stakeholders, data and technology teams, and transformation leaders, this role will ensure the AI platform accelerates innovation, supports enterprise adoption, and delivers measurable business value through reliable and scalable execution.
MAJOR ACCOUNTABILITIES
- Define and lead the engineering strategy, roadmap, and operating model for the organization’s agentic AI platform.
- Oversee the design, development, integration, deployment, and ongoing operation of platform capabilities that support agentic AI products and workflows.
- Establish platform engineering standards, architectural principles, and development practices to ensure scalability, reliability, security, and maintainability.
- Lead cross functional engineering teams in building reusable platform services, tools, and components that accelerate product delivery and adoption.
- Partner with product, data, infrastructure, security, and business teams to align platform capabilities with enterprise priorities and evolving user needs.
- Drive platform performance, operational excellence, and continuous improvement through monitoring, feedback loops, incident review, and service optimization.
- Guide the modernization of existing systems and processes to enable integration with agentic AI products, workflows, and platform services.
- Communicate platform strategy, technical direction, delivery progress, risks, and investment needs to senior executives and key stakeholders.
ESSENTIAL REQUIREMENTS:
- A minimum of a Bachelor's degree in related field is required; Master of Science and/or MBA strongly preferred
- 15 plus years of progressive product management experience, including significant leadership over senior product leaders, with a strong track record of defining and scaling enterprise level product strategy and execution.
- Deep expertise in AI driven product management, including experience bringing innovative data, machine learning, and generative AI products from concept to commercialization in complex enterprise environments.
- Proven people leadership and organizational development capability, with experience leading directors and senior product teams, building high performing organizations, and establishing effective product operating models and governance.
- Strong cross functional and executive influence skills, with demonstrated success partnering across Engineering, Innovation, Commercial, Data Science, and business leadership to align strategy, prioritize investments, and drive outcomes.
- Bachelor degree required and advanced degree preferred, ideally in business, engineering, computer science, data science, or a related field.
The salary for this position is expected to range between $225,400.00 and $418,600.00 USD Annual per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
WHY NOVARTIS: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
BENEFITS AND REWARDS: Learn about all the ways we’ll help you thrive personally and professionally.
EEO STATEMENT:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
ACCESSIBILITY & REASONABLE ACCOMMODATIONS
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
LOCATION
Location: USA
JOB TYPE
Job Type: Full time
EMPLOYMENT TYPE
Employment Type: Regular
SHIFT WORK
Shift Work: No
SUMMARY
This position can be based remotely anywhere in the U.S. Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager.
ABOUT THE ROLE
The Strategy, Platforms & Transformation team is dedicated to enabling improved decision-making at Novartis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. We work within the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. This role is crucial in driving AI transformation by bringing the best in AI and tech to unlock opportunities for growth and improve patient outcomes.
The Executive Director, AI Platform Engineering Lead will lead the engineering strategy, delivery, and operational excellence for the organization’s agentic AI platform, with responsibility spanning platform architecture, development, integration, operations, reliability, and continuous improvement. This role will be central to enabling the transformation of existing processes, products, and services into agentic AI products and intelligent workflows by providing a scalable, secure, and high performing platform foundation. The ideal candidate will bring deep engineering leadership, platform thinking, and technical vision to guide the design and evolution of core AI capabilities, establish engineering standards and operating models, and lead cross functional teams in delivering resilient and extensible platform services. Working closely with product leaders, business stakeholders, data and technology teams, and transformation leaders, this role will ensure the AI platform accelerates innovation, supports enterprise adoption, and delivers measurable business value through reliable and scalable execution.
MAJOR ACCOUNTABILITIES
- Define and lead the engineering strategy, roadmap, and operating model for the organization’s agentic AI platform.
- Oversee the design, development, integration, deployment, and ongoing operation of platform capabilities that support agentic AI products and workflows.
- Establish platform engineering standards, architectural principles, and development practices to ensure scalability, reliability, security, and maintainability.
- Lead cross functional engineering teams in building reusable platform services, tools, and components that accelerate product delivery and adoption.
- Partner with product, data, infrastructure, security, and business teams to align platform capabilities with enterprise priorities and evolving user needs.
- Drive platform performance, operational excellence, and continuous improvement through monitoring, feedback loops, incident review, and service optimization.
- Guide the modernization of existing systems and processes to enable integration with agentic AI products, workflows, and platform services.
- Communicate platform strategy, technical direction, delivery progress, risks, and investment needs to senior executives and key stakeholders.
ESSENTIAL REQUIREMENTS:
- A minimum of a Bachelor's degree in related field is required; Master of Science and/or MBA strongly preferred
- 15 plus years of progressive product management experience, including significant leadership over senior product leaders, with a strong track record of defining and scaling enterprise level product strategy and execution.
- Deep expertise in AI driven product management, including experience bringing innovative data, machine learning, and generative AI products from concept to commercialization in complex enterprise environments.
- Proven people leadership and organizational development capability, with experience leading directors and senior product teams, building high performing organizations, and establishing effective product operating models and governance.
- Strong cross functional and executive influence skills, with demonstrated success partnering across Engineering, Innovation, Commercial, Data Science, and business leadership to align strategy, prioritize investments, and drive outcomes.
- Bachelor degree required and advanced degree preferred, ideally in business, engineering, computer science, data science, or a related field.
The salary for this position is expected to range between $225,400.00 and $418,600.00 USD Annual per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
WHY NOVARTIS: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
BENEFITS AND REWARDS: Learn about all the ways we’ll help you thrive personally and professionally.
EEO STATEMENT:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
ACCESSIBILITY & REASONABLE ACCOMMODATIONS
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
LOCATION
Location: USA
JOB TYPE
Job Type: Full time
EMPLOYMENT TYPE
Employment Type: Regular
SHIFT WORK
Shift Work: No
See All 100+ Platform Engineering Lead Jobs
Jump back to the full list of openings and apply to any platform engineering lead role that fits.
Find JobsPlatform Engineering Lead Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- HDR4
- 6sense2
- AbbVie2
- Capgemini2
- Citi2
Top Industries Hiring
- Technology & Software29
- Banking & Financial Services11
- Consulting & Professional Services9
- Electronics & Hardware8
- Insurance7
What Employers Look For
The qualifications that appear most often in platform engineering lead jobs.
- 5 or more years of experience in platform, infrastructure, or DevOps engineering roles
- Deep expertise with Kubernetes, Terraform, and cloud platforms such as AWS, GCP, or Azure
- Experience designing and maintaining CI/CD pipelines at scale across multiple engineering teams
- Demonstrated ability to lead technical projects and mentor engineers without direct authority
- Strong background in developer experience tooling such as Backstage, internal CLIs, or golden path templates
- Bachelor's degree in computer science, software engineering, or a related technical discipline
Tips for Your Platform Engineering Lead Job Search
Quantify platform reliability improvements you owned
Hiring managers for platform engineering leads want evidence of measurable outcomes. Replace vague bullets with specific before-and-after results: deployment frequency, incident reduction, or developer onboarding time you shortened through platform work you led.
Tailor your resume to each platform stack
Platform engineering lead roles vary sharply by stack. A listing heavy on Backstage and Crossplane needs different emphasis than one focused on Terraform and ArgoCD. Read each job description closely and surface the tools you have deepest hands-on experience with.
Apply early to roles that fit
Migrate Mate lists platform engineering lead openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by team structure not just company size
Platform teams inside a 200-person startup operate very differently from a platform org inside a 20,000-person enterprise. Ask in early screens how many engineers the platform team serves and whether you'd be building a platform from scratch or scaling one already in production.
Prepare a system design walkthrough for the interview
Most platform engineering lead loops include a technical design round focused on internal developer platforms, CI/CD architecture, or multi-cluster Kubernetes. Practice walking through a real system you designed, explaining tradeoffs you made and what you would change now.
Negotiate scope and autonomy alongside compensation
At the lead level, the scope of your platform charter matters as much as your offer. Ask specifically whether you will own tooling decisions, have a dedicated headcount to grow, and have a direct line to engineering leadership when making infrastructure tradeoffs.
Platform Engineering Lead Jobs: Frequently Asked Questions
Which companies are hiring the most platform engineering leads?
The companies hiring the most platform engineering leads right now include HDR, 6sense, and AbbVie, with the largest share of openings in California, Illinois, and New York, based on current listings on Migrate Mate as of June 2026. Demand is particularly concentrated in organizations that run large multi-team engineering orgs and are investing in developer experience as a product.
How many platform engineering lead jobs are remote?
About 32% of platform engineering lead openings are fully remote or hybrid as of June 2026, making it one of the more remote-accessible senior engineering roles. Sub-areas focused on developer experience tooling and internal platform product work tend to offer the most location flexibility compared to roles with heavy hands-on infrastructure or data center responsibilities.
How do you become a platform engineering lead?
Most platform engineering leads move up from senior software or infrastructure engineering roles where they owned end-to-end delivery of platform components. Building credibility in that path means shipping developer-facing tooling that real teams depend on, driving cross-team infrastructure decisions, and documenting system design choices clearly. Earning certifications in cloud platforms and Kubernetes signals fluency with the core stack most organizations expect at the lead level.
Can I get a platform engineering lead job without prior lead experience?
You can get hired as a platform engineering lead without a prior lead title if you can demonstrate lead-level impact in your current role. Employers focus on whether you have owned large-scale platform projects independently, made architectural decisions, and influenced engineering practices across teams. A strong portfolio of internal tooling or infrastructure work you drove from conception to adoption matters more than whether your title included the word lead.
What does the platform engineering lead interview process look like?
Platform engineering lead interviews typically run across four to six rounds. An initial recruiter screen is followed by a hiring manager conversation focused on leadership style and platform philosophy. A technical design round asks you to architect an internal developer platform or CI/CD system. A coding or systems round tests infrastructure fundamentals. Final rounds usually include cross-functional conversations with engineering directors or product partners who rely on the platform your team would own.
Where can I find and apply to platform engineering lead jobs?
You can find and apply to platform engineering lead jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your stack and experience level, then apply directly to each listing from the page.
See All 100+ Platform Engineering Lead Jobs
Jump back to the full list of openings and apply to any platform engineering lead role that fits.
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