3 days ago

Staff Software Engineer (L6) - Developer Productivity — Platform Systems, AIMS Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Own the end-to-end developer experience for AIMS ML practitioners, including local/remote dev environments, build-and-test infrastructure, and CI/CD pipelines. Identify workflow friction and design tooling and abstractions that remove it at the root. Build and operate large-scale build and CI systems as models and codebases grow, partner directly with ML engineers to prioritize investments, and instrument productivity metrics to drive ongoing improvements. Evaluate and productionize GenAI-powered developer tooling with safety guardrails.

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own the end-to-end developer experience for AIMS ML practitioners, including local/remote dev environments, build/test infrastructure, CI/CD pipelines, and researcher tooling.
•Identify and diagnose friction in engineering and research workflows, then design tooling and abstractions that remove it at the root.
•Design, build, and operate large-scale build and CI/CD systems to keep build/test/iteration fast as codebase, model count, and headcount grow.
•Partner with ML researchers and engineers across AIMS teams to understand real workflows, prioritize highest-leverage productivity investments, and ship tools people adopt.
•Instrument and measure developer productivity (build times, iteration speed, time-to-first-experiment) and drive adoption through documentation, migration support, and hands-on partnership; set technical standards for developer tooling.

Pay and Benefits

Salary: USD 600,000 - 1,066,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•Significant experience building and operating developer productivity infrastructure (build systems, CI/CD, developer environments, or internal platforms) at scale.
•Deep proficiency in Python and working proficiency in at least one JVM language (Scala, Java, or similar).
•Hands-on experience with distributed build systems (e.g., Bazel, Buck, Pants) and large-scale distributed data/compute frameworks (e.g., Spark, Beam).
•Working understanding of GenAI-powered developer tooling (AI coding assistants, automated code review, agentic coding workflows), including validation of outcomes.
•Comfort with parallel/distributed computing and operating systems at scale where naive approaches fail.

Skills:Cross-team collaborationTechnical leadershipPrioritizationDesign reviewsPartnership

Tech Stack:PythonScalaJavaBazelBuckPantsSparkBeamCI/CDGenAIAI coding assistantsAutomated code reviewAgentic workflowsDistributed build systems

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Netflix

3 days ago

Staff Software Engineer (L6) - Developer Productivity — Platform Systems, AIMS Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own the end-to-end developer experience for AIMS ML practitioners, including local/remote dev environments, build/test infrastructure, CI/CD pipelines, and researcher tooling.
•Identify and diagnose friction in engineering and research workflows, then design tooling and abstractions that remove it at the root.
•Design, build, and operate large-scale build and CI/CD systems to keep build/test/iteration fast as codebase, model count, and headcount grow.
•Partner with ML researchers and engineers across AIMS teams to understand real workflows, prioritize highest-leverage productivity investments, and ship tools people adopt.
•Instrument and measure developer productivity (build times, iteration speed, time-to-first-experiment) and drive adoption through documentation, migration support, and hands-on partnership; set technical standards for developer tooling.

Pay and Benefits

Salary: USD 600,000 - 1,066,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•Significant experience building and operating developer productivity infrastructure (build systems, CI/CD, developer environments, or internal platforms) at scale.
•Deep proficiency in Python and working proficiency in at least one JVM language (Scala, Java, or similar).
•Hands-on experience with distributed build systems (e.g., Bazel, Buck, Pants) and large-scale distributed data/compute frameworks (e.g., Spark, Beam).
•Working understanding of GenAI-powered developer tooling (AI coding assistants, automated code review, agentic coding workflows), including validation of outcomes.
•Comfort with parallel/distributed computing and operating systems at scale where naive approaches fail.

Skills:Cross-team collaborationTechnical leadershipPrioritizationDesign reviewsPartnership

Tech Stack:PythonScalaJavaBazelBuckPantsSparkBeamCI/CDGenAIAI coding assistantsAutomated code reviewAgentic workflowsDistributed build systems

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor