Platform Engineering Manager Jobs in Washington
Platform Engineering Manager jobs in Washington are among the most active in the country, concentrated in cloud infrastructure, distributed systems, and developer productivity platforms across technology, aerospace, and enterprise software sectors, with openings at every level from emerging technical leads through senior directors of engineering. Seattle, Bellevue, and Redmond anchor the majority of hiring, where employers such as Microsoft, Amazon, and Boeing maintain deep platform and infrastructure engineering organizations. Strong demand exists for managers with hands-on Kubernetes, Terraform, and internal developer platform experience. Find a role that fits below and apply directly.
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Oracle Cloud Infrastructure (OCI) is developing scientific platform capabilities that connect computational workflows, scientific data, artificial intelligence (AI), and physical experimentation. We are seeking a Senior Director of Engineering to establish and scale the engineering organization, deliver initial customer commitments, and develop reusable services for additional scientific programs and customers.
This is a technically demanding people leadership role with accountability across engineering strategy, delivery, quality, security, operations, and economics. You will lead multiple teams and develop engineering managers and senior technical leaders. Working with Product Management, the System Architect, and scientific leadership, you will turn evolving requirements into clear service boundaries, credible delivery plans, and dependable customer outcomes.
You will build an AI native engineering organization in which agents perform substantial engineering work through autonomous execution, automated validation, and operational feedback. Teams will own the complete lifecycle of their services and make technical decisions within agreed architectural boundaries. Your role is to strengthen their capability and accountability while resolving material technical and organizational issues.
Responsibilities
Own engineering strategy and outcomes across scientific computing, data, AI, and laboratory automation within agreed product direction and system architecture. Translate customer priorities into delivery commitments, capacity plans, and investment recommendations.
Build autonomous teams with one accountable owner for each service. Establish complete ownership of design, implementation, testing, deployment, operations, support, reliability, and cost. Delegate technical decisions in proportion to capability and risk.
Lead AI native engineering transformation across development, testing, deployment, and operations. Establish agent execution loops, evaluation harnesses, automated validation, and human oversight appropriate to security, reliability, and correctness requirements.
Partner with the System Architect and senior engineers on service boundaries, interfaces, interoperability, and system constraints. Exercise technical judgment on consequential decisions while enabling teams to own service architecture and implementation.
Recruit, develop, and evaluate engineering managers, senior engineers, and technical leaders. Maintain high technical standards, coach future leaders, and design effective management spans and organizational structures with minimal unnecessary coordination.
Own delivery from initial customer pilots through production operation and repeatable deployment. Resolve technical risks, integration dependencies, and resource constraints, and communicate changes to commitments early with options and recommendations.
Work with customer scientists, applied science, product managers, and engineering partners to translate research workflows into requirements and acceptance plans. Distinguish implementation correctness from scientific validity and establish appropriate evaluation with domain experts.
Lead engineering integration across cloud services, workflow engines, scientific applications, laboratory systems, and equipment partners. Establish reusable interfaces, configuration, validation, and onboarding approaches while preserving local equipment control and safety authority.
Establish operational readiness, service objectives, observability, incident response, recovery, and continuous improvement. Hold service owners accountable for secure operation, customer support, and sustained service performance.
Own engineering capacity, budgets, infrastructure consumption, and service cost. Make staffing and technical investment recommendations using delivery needs, operational obligations, measured productivity, and product economics.
Measure throughput, delivery predictability, quality, reliability, engineering cost, and human intervention in agent workflows. Use evidence to improve engineering practices, team composition, and deployment efficiency.
Lead across geographically distributed teams, customer environments, and partner organizations. Clarify ownership, manage work transitions, resolve disagreements, and represent engineering decisions and risks to senior executives and customers.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
Substantial experience building and operating complex software or cloud services, including 8+ years of engineering management or technical leadership and 2+ years leading an organization that includes other managers or technical leads. These periods may overlap.
Demonstrated success leading multiple engineering teams, recruiting senior technical talent, developing managers and technical leaders, and delivering complex initiatives across organizational boundaries.
Strong technical judgment in distributed systems, cloud services, data platforms, or comparable systems. Ability to challenge designs, evaluate tradeoffs, diagnose technical risks, and lead consequential engineering decisions.
Experience owning production delivery and operations, including reliability, security, incident response, and cost, with a record of meeting customer commitments.
Experience applying AI agents and automated validation to engineering workflows, with evidence of improvements in delivery, quality, or operational effectiveness.
Ability to create clarity in evolving environments, lead organizational change, and communicate technical decisions, resource needs, and risks effectively with customers and senior leaders.
Preferred Qualifications
We welcome candidates from robotics, automation, scientific computing, and other complex technology backgrounds.
Experience developing robotics, autonomous systems, or industrial automation products, including integration of software with hardware, sensors, or control systems.
Experience building scientific computing, genomics, bioinformatics, pathogens research, research data, or reproducible workflow capabilities.
Experience developing laboratory automation or scientific instrumentation systems, including equipment integration, state management, testing, and recovery.
Experience scaling emerging cloud services from strategic customer pilots through production operation and repeatable customer adoption.
Experience developing secure agent execution environments, engineering evaluation systems, automated testing and deployment, or feedback loops that reduce manual intervention while maintaining quality.
Oracle Cloud Infrastructure (OCI) is developing scientific platform capabilities that connect computational workflows, scientific data, artificial intelligence (AI), and physical experimentation. We are seeking a Senior Director of Engineering to establish and scale the engineering organization, deliver initial customer commitments, and develop reusable services for additional scientific programs and customers.
This is a technically demanding people leadership role with accountability across engineering strategy, delivery, quality, security, operations, and economics. You will lead multiple teams and develop engineering managers and senior technical leaders. Working with Product Management, the System Architect, and scientific leadership, you will turn evolving requirements into clear service boundaries, credible delivery plans, and dependable customer outcomes.
You will build an AI native engineering organization in which agents perform substantial engineering work through autonomous execution, automated validation, and operational feedback. Teams will own the complete lifecycle of their services and make technical decisions within agreed architectural boundaries. Your role is to strengthen their capability and accountability while resolving material technical and organizational issues.
Responsibilities
Own engineering strategy and outcomes across scientific computing, data, AI, and laboratory automation within agreed product direction and system architecture. Translate customer priorities into delivery commitments, capacity plans, and investment recommendations.
Build autonomous teams with one accountable owner for each service. Establish complete ownership of design, implementation, testing, deployment, operations, support, reliability, and cost. Delegate technical decisions in proportion to capability and risk.
Lead AI native engineering transformation across development, testing, deployment, and operations. Establish agent execution loops, evaluation harnesses, automated validation, and human oversight appropriate to security, reliability, and correctness requirements.
Partner with the System Architect and senior engineers on service boundaries, interfaces, interoperability, and system constraints. Exercise technical judgment on consequential decisions while enabling teams to own service architecture and implementation.
Recruit, develop, and evaluate engineering managers, senior engineers, and technical leaders. Maintain high technical standards, coach future leaders, and design effective management spans and organizational structures with minimal unnecessary coordination.
Own delivery from initial customer pilots through production operation and repeatable deployment. Resolve technical risks, integration dependencies, and resource constraints, and communicate changes to commitments early with options and recommendations.
Work with customer scientists, applied science, product managers, and engineering partners to translate research workflows into requirements and acceptance plans. Distinguish implementation correctness from scientific validity and establish appropriate evaluation with domain experts.
Lead engineering integration across cloud services, workflow engines, scientific applications, laboratory systems, and equipment partners. Establish reusable interfaces, configuration, validation, and onboarding approaches while preserving local equipment control and safety authority.
Establish operational readiness, service objectives, observability, incident response, recovery, and continuous improvement. Hold service owners accountable for secure operation, customer support, and sustained service performance.
Own engineering capacity, budgets, infrastructure consumption, and service cost. Make staffing and technical investment recommendations using delivery needs, operational obligations, measured productivity, and product economics.
Measure throughput, delivery predictability, quality, reliability, engineering cost, and human intervention in agent workflows. Use evidence to improve engineering practices, team composition, and deployment efficiency.
Lead across geographically distributed teams, customer environments, and partner organizations. Clarify ownership, manage work transitions, resolve disagreements, and represent engineering decisions and risks to senior executives and customers.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
Substantial experience building and operating complex software or cloud services, including 8+ years of engineering management or technical leadership and 2+ years leading an organization that includes other managers or technical leads. These periods may overlap.
Demonstrated success leading multiple engineering teams, recruiting senior technical talent, developing managers and technical leaders, and delivering complex initiatives across organizational boundaries.
Strong technical judgment in distributed systems, cloud services, data platforms, or comparable systems. Ability to challenge designs, evaluate tradeoffs, diagnose technical risks, and lead consequential engineering decisions.
Experience owning production delivery and operations, including reliability, security, incident response, and cost, with a record of meeting customer commitments.
Experience applying AI agents and automated validation to engineering workflows, with evidence of improvements in delivery, quality, or operational effectiveness.
Ability to create clarity in evolving environments, lead organizational change, and communicate technical decisions, resource needs, and risks effectively with customers and senior leaders.
Preferred Qualifications
We welcome candidates from robotics, automation, scientific computing, and other complex technology backgrounds.
Experience developing robotics, autonomous systems, or industrial automation products, including integration of software with hardware, sensors, or control systems.
Experience building scientific computing, genomics, bioinformatics, pathogens research, research data, or reproducible workflow capabilities.
Experience developing laboratory automation or scientific instrumentation systems, including equipment integration, state management, testing, and recovery.
Experience scaling emerging cloud services from strategic customer pilots through production operation and repeatable customer adoption.
Experience developing secure agent execution environments, engineering evaluation systems, automated testing and deployment, or feedback loops that reduce manual intervention while maintaining quality.
See All 39 Platform Engineering Manager Jobs in Washington
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Find JobsPlatform Engineering Manager Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Platform Engineering Manager Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Investment & Asset Management
- Retail
- Construction & Real Estate
What Washington Employers Look For
The qualifications that appear most often in platform engineering manager jobs across Washington.
- Bachelor's degree in computer science, software engineering, or a related technical field
- Five or more years of platform, infrastructure, or site reliability engineering experience
- Demonstrated experience managing and growing teams of three or more engineers
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud in production environments
- Experience with infrastructure-as-code tools including Terraform, Pulumi, or Helm
- Familiarity with CI/CD pipeline design, developer experience tooling, and observability stacks
Platform Engineering Manager Jobs in Washington: Frequently Asked Questions
How do you become a platform engineering manager in Washington?
Platform engineering manager is not a state-licensed role in Washington, so the path runs through technical depth and demonstrated leadership rather than a credential board. Most hiring managers in Washington expect a background as an individual contributor in platform, infrastructure, or site reliability engineering, followed by a progression into a lead or staff engineer role. Companies in the Seattle metro often promote from within or prefer candidates who pair engineering experience with a completed technical degree and evidence of cross-functional project ownership.
How much do platform engineering managers make in Washington?
Platform engineering managers in Washington earn a median of about $189,680 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $148,930 for the lowest 10% to over $263,550 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire platform engineering managers in Washington?
Employers hiring platform engineering managers in Washington right now include Apple, Amazon, and Databricks, based on current listings on Migrate Mate as of November 2026. Washington's concentration of cloud-first technology companies and aerospace engineering organizations means demand stays consistent throughout the year across both large enterprise and growth-stage employers.
Which Washington cities have the most platform engineering manager jobs?
Seattle, Bellevue, and Olympia have the most platform engineering manager openings in Washington. Seattle's density of cloud infrastructure and SaaS companies drives the largest share of postings, while Bellevue and Redmond reflect the substantial platform engineering organizations that Microsoft and Amazon maintain on the Eastside, pulling significant hiring volume into those suburban corridors.
Are there remote platform engineering manager jobs in Washington?
Yes, and more than most fields. About 67% of platform engineering manager openings tied to Washington are remote or hybrid as of November 2026, reflecting how naturally the role translates to distributed collaboration. The parts of the role most likely to stay fully remote are platform strategy, architecture review, and asynchronous engineering coordination, while roles requiring hands-on datacenter oversight or embedded team leadership tend to require some on-site presence.
How can I get hired as a platform engineering manager in Washington with little or no experience?
The most realistic entry path is moving into a formal management role from a senior or staff platform engineer position within a company that already knows your work. Washington employers such as Microsoft and Amazon both run structured engineering leadership development programs that prepare high-performing individual contributors for people management. Building a portfolio that demonstrates infrastructure ownership at scale, contributing to internal developer platforms, and pursuing relevant cloud certifications strengthens a candidacy significantly before making the transition.
Where can I find and apply to platform engineering manager jobs in Washington?
You can find and apply to platform engineering manager jobs in Washington on Migrate Mate, which lists current openings tied to Washington locations. Search the listings, find roles that match your background and target level, and apply directly to each one that fits.
See All 39 Platform Engineering Manager Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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