About the Team
The Platform Modernization Engineering (PME) – Migrations team accelerates Netflix’s ability to evolve its infrastructure by driving safe, scalable migrations across the stack. We reduce engineering toil, eliminate technical debt, and enable teams to move forward with confidence as Netflix’s technology continues to evolve at pace.
About the Role
We are looking for an experienced L5 Software Engineer who thrives at the intersection of large‑scale systems, automation, and cross‑functional influence. You will design and build the tooling and automation that powers fleet‑wide migration campaigns, partner directly with platform and product teams to de‑risk complex infrastructure changes, and help define what excellent Paved Path adoption looks like in practice. This is a high‑autonomy, high‑impact role. You will own migration projects end‑to‑end—from scoping and technical design through automated execution, quality validation, and completion. You'll also build durable tooling that outlasts any single campaign.
Key Responsibilities
- Design and execute large‑scale code and infrastructure migration campaigns across Netflix’s fleet of thousands of repositories and services.
- Own the full migration lifecycle: scoping, campaign design, automated execution, validation, and completion.
- Build and extend PME’s internal automation platforms—leveraging AI‑assisted code modification, rule‑based transformations, and batch orchestration—to scale the team’s impact across the fleet with speed and reliability.
- Write clear, well‑researched design documents and identify and communicate trade‑offs between migration approaches, driving decisions with data and stakeholder input.
- Embed with partner teams driving the most crucial infrastructure‑level strategic initiatives to deeply understand migration needs, de‑risk project execution, and ensure campaigns land successfully with minimal customer toil.
- Proactively identify opportunities to improve Paved Path adoption and adherence, surface patterns and systemic opportunities, influence product strategy and roadmaps of platform teams through direct engagement and data.
- Instrument migrations with telemetry and dashboards, monitor fleet health, track adoption rates, and build feedback loops that continuously improve campaign design and execution.
What Makes You a Good Fit
- A strong generalist engineer energized by scope and ambiguity—comfortable working across the full stack while building depth in the areas that matter most.
- A systems thinker who understands that successful migrations are as much about people and process as they are about code—designing solutions accordingly.
- A self‑directed owner who can take a high‑priority, ambiguous challenge and drive it to completion across teams, time zones, and organizational boundaries.
- A pragmatic builder who defaults to automation and reuse, builds tools that generalize beyond a single use case, and knows when to ship fast vs. when to invest in durability.
- Someone who builds customer trust through repeated, low‑drama delivery, communicates proactively, course‑corrects quickly, and leaves things better than they found them.
Required Experience
- Strong backend engineering skills with demonstrated ability to build and operate production services at scale (experience in Java or Python is a plus).
- Proven experience navigating and operating within large, complex infrastructure ecosystems—understanding service interdependencies, fleet‑wide patterns, and the ripple effects of change at scale.
- Deep, hands‑on experience with AI‑driven solutions—building, not just using; bringing that edge into work.
- Proof of driving complex, cross‑functional technical projects from design through completion.
- Strong technical writing: design docs, trade‑off analyses, postmortems.
- Experience with cloud infrastructure (AWS preferred: EC2, S3, EKS/Kubernetes).
- Ability to navigate ambiguity, influence without authority, and partner effectively with senior stakeholders.
Experience We'd Be Excited About
- Large‑scale code migration or modernization campaigns.
- Building or integrating LLMs and AI agents into engineering workflows—shipped AI‑powered solutions, not just experiments.
- Experience building or operating fleet‑management, dependency graph, or service catalog systems.
- Background in platform or infrastructure engineering organizations.
- Familiarity with Java or Python in a backend services context.
- Designing campaigns with measurable adoption and adherence metrics.
Benefits
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal‑opportunity employer and celebrate diversity. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.