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Senior Platform Engineer Jobs in Oregon (NOW HIRING)

Hatch IT

OR · On-site

$104K - $143K/yr

Expression is seeking an experienced Senior AI Platform Engineer to join their Product Team and contribute to the evolution of their Agentic AI platform. We are building an enterprise-grade platform ...

SentinelOne

OR

$108K - $147K/yr

As a Senior AI Platform Engineer, Infrastructure Services, you will be tasked with taking ownership of our AI Gateway infrastructure (built on Kong AI Gateway), the system that authenticates, routes ...

New

BetterHelp

OR

As a Staff ML/AI Platform Engineer at BetterHelp, you'll join a diverse team of licensed clinicians ... This role will work closely with the Sr. Director of ML/Data Engineering and will have an important ...

Consensus Cloud Solutions

Senior Engineer- Platform

OR · Remote

$104K - $143K/yr

... platform. This role is pivotal in shifting our engineering strategy from monolithic applications to a flexible, scalable, and distributed web ecosystem. The Senior Engineer will not only contribute ...

Zocdoc

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

Your Impact on our Mission We are looking for a Senior Staff Data Platform Engineer to elevate the systems that power trusted decision-making at Zocdoc. In this high-impact role, you will define ...

Industrial Electric Manufacturing

OR

$70K - $105K/yr

Maintain strong support for and interact with the Sr. Platform Manager, Director of Platform ... Participate in engineering handoff meetings when applicable. Work with engineering and customer ...

Signifyd

OR · On-site

$122K - $161K/yr

... Senior Software Engineer for its Cloud Platform Engineering group. Within our broader Engineering organization, this pivotal role will drive the design, implementation, and comprehensive management ...

Upstart

Senior DevOps Engineer, Ephemeral Platform

OR · On-site +1

$129K - $166K/yr

As a Senior Software Engineer, DevOps at Upstart, you will help evolve our Ephemeral Infrastructure platform: the Kubernetes-based environments, cloud infrastructure, automation, and developer ...

LTS

Senior Agentic AI Software Engineer

OR · On-site +1

$122K - $161K/yr

Ability to obtain and maintain a Public Trust LTS is seeking a Senior Agentic AI Software Engineer ... Our platform enables engineers to ask questions in plain English and receive explainable ...

Holland & Knight

AI Legal Engineer

Portland, OR · On-site

... and platform changes, user feedback, or evolving practice needs. * Represent the AI Products ... senior stakeholders. * Clear, confident communicator able to teach AI concepts and workflow ...

Chainguard

OR · On-site

$54.50 - $72/hr

Senior Software Engineer (Developer Platform) The role, in a nutshell: We're looking for a Senior Software Engineer to join our Developer Platform team. This team builds the "Factory" that powers ...

Upstart

Sr Software Engineer - Lending Platform

OR · Remote

$122K - $161K/yr

As a Senior Software Engineer, you'll design and deliver the core systems that process large ... financial platforms. How you'll make an impact * Design, build, and operate distributed, event ...

Upstart

Senior Software Engineer - Lending Platform

OR · Remote

$122K - $161K/yr

As a Senior Software Engineer, you'll design and deliver the core systems that process large ... financial platforms. How you'll make an impact * Design, build, and operate distributed, event ...

Hyperproof

Senior DevSecOps Engineer

Portland, OR · On-site

$121K - $166K/yr

Senior DevSecOps Engineer (Remote-based role that requires US-citizenship) About us Hyperproof is ... Architect secure, scalable platform infrastructure including GitHub Actions, GitLab, and ADO CI/CD ...

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Showing results 21-40

All JobsPlatform Engineer JobsSenior Platform Engineer JobsSenior Platform Engineer Jobs in Oregon

Senior Platform Engineer information

See Oregon salary details

$62.9K

$133.8K

$194K

How much do senior platform engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior platform engineer in Oregon is $133,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $151,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior platform engineer?

To thrive as a Senior Platform Engineer, you need deep expertise in systems architecture, cloud technologies (such as AWS, Azure, or GCP), infrastructure automation, and strong programming skills, typically backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, Terraform, and CI/CD pipelines, as well as certifications like AWS Certified Solutions Architect, are highly valuable. Strong problem-solving abilities, effective communication, and the ability to mentor junior engineers help individuals excel in this role. These skills ensure platforms are scalable, secure, and maintainable, and support high-performance engineering teams.

What does a senior platform engineer do?

A typical day for a Senior Platform Engineer involves designing and implementing platform solutions, optimizing infrastructure for scalability and reliability, and troubleshooting complex technical issues across multiple systems. You’ll work closely with software development, DevOps, and security teams to ensure smooth deployment and operation of applications. Additionally, you may participate in code reviews, develop automation scripts, and mentor junior engineers. Most senior platform engineers balance hands-on coding with architectural planning and team collaboration.

What is a senior platform engineer?

A Senior Platform Engineer is responsible for designing, building, and maintaining scalable infrastructure and developer platforms. They optimize system reliability, automate deployments, and ensure efficient cloud or on-prem environments. This role requires deep expertise in infrastructure-as-code, CI/CD pipelines, cloud services, and system monitoring. They collaborate with development teams to enhance performance, security, and scalability.

What are the most commonly searched types of Platform Engineer jobs in Oregon? The most popular types of Platform Engineer jobs in Oregon are:
What are popular job titles related to Senior Platform Engineer jobs in Oregon? For Senior Platform Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Senior Platform Engineer jobs in Oregon look for? The top searched job categories for Senior Platform Engineer jobs in Oregon are:
What cities in Oregon are hiring for Senior Platform Engineer jobs? Cities in Oregon with the most Senior Platform Engineer job openings:
Senior Platform Engineer jobs near you
Infographic showing various Senior Platform Engineer job openings in Oregon as of August 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $133,807 per year, or $64.3 per hour.

Senior AI Platforms Engineer

Hatch IT

OR • On-site

$104K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

hatch I.T. is partnering with Expression to find a Senior AI Platforms Engineer. See details below:

About The Role:

Expression is seeking an experienced Senior AI Platform Engineer to join their Product Team and contribute to the evolution of their Agentic AI platform. We are building an enterprise-grade platform for their National Security and Federal Civilian customers that moves Generative AI from "chatting" to "doing." This platform is the intelligent backbone for their semi-autonomous agents and the AI governance framework that manages them.

The ideal candidate thrives in a highly technical, collaborative environment and has a strong bias for action. You are comfortable taking ownership, elevating your team through clear communication and solid technical judgment, and continually improving how we build their platform.

Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

About the Company:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's "Perpetual Innovation" culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

Responsibilities:
  • Contribute to the design and evolution of Expression's Agentic AI platform by defining scalable architectures for enterprise AI applications and services, including system architecture, core platform components, tooling, automation, coding standards, and platform performance, scalability, and reliability.
  • Architect, deliver, and optimize production-grade LLM services, agent workflows, orchestration layers, retrieval pipelines, and vector search technologies.
  • Provide technical leadership and mentorship: guide architecture and design reviews, grow engineers, and raise the bar for engineering quality and technical decision-making across the team.
  • Develop high-performance Python APIs and scalable backend services using FastAPI, asynchronous programming techniques, and modern software engineering practices. Set the technical direction and engineering standards for high-performance, scalable backend services and APIs, and champion modern software engineering best practices across the team.
  • Build and maintain the underlying AI platform that supports secure, observable, resilient, and production-ready AI workloads.
  • Design and implement AI governance capabilities, including guardrails, policy enforcement, model lifecycle management, responsible AI practices, and compliance with federal security and governance requirements.
  • Develop automated testing and evaluation strategies for AI-enabled applications, including prompt evaluation, model evaluation, regression testing, integration testing, and quality assurance.
  • Implement LLM observability, monitoring, logging, telemetry, performance metrics, and resilience strategies to ensure reliable production operation.
  • Design, implement, and maintain CI/CD pipelines and deployment automationDefine and drive CI/CD and deployment automation strategy to support secure, efficient delivery of AI services.
  • Collaborate with Product, UX, Infrastructure, Security, and other cross-functional teams to continuously improve platform capabilities and deliver customer-focused solutions.
  • Collaborate with clients, lead product demonstrations, and communicate technical concepts and platform capabilities to both technical and executive audiences.
  • Produce clear technical documentation, architecture diagrams, design proposals, and other engineering artifacts.
Qualifications:
  • Bachelor degree in Computer Science, Software Engineering, Information Systems, Data Science, or related fields. An advanced degree is preferred.
  • 8-10+ years of professional experience in Software Engineering designing and building enterprise software platforms.
  • Demonstrated technical leadership: leading architecture and design for complex production platforms, mentoring engineers, and driving technical decisions across teams.
  • Hands-on experience designing and building agent orchestration and LLM workflows (custom or framework-based); hands-on experience with frameworks such as LangGraph, LangChain, CrewAI, or Strands is useful but not required.
  • Expert-level Python, including asyncio and asynchronous programming, FastAPI, Pydantic, type hinting, and modern development practices.
  • Strong proficiency in TypeScript and Node.js for building production platform services, APIs, and SDKs.
  • Proven experience implementing retrieval architectures.
  • Experience designing and operating vector databases and both lexical and semantic search systems.
  • Strong experience designing distributed architectures for LLM-based applications.
  • Experience with self-hosted and edge model deployment: serving open and small language models (SLMs) with vLLM, Ollama, or llama.cpp, routing through LiteLLM, and autoscaling inference on Kubernetes (e.g., Karpenter) for on-premises, disconnected, and tactical environments.
  • Experience deploying applications using Docker and cloud-native services within AWS or Azure.
  • Experience implementing CI/CD pipelines using GitLab CI, GitHub Actions, or similar automation platforms.
  • Experience with Kubernetes, Infrastructure as Code (Terraform and Helm, or equivalent), and modern cloud-native deployment practices.
  • Familiarity with AI governance, model lifecycle management, prompt engineering, and responsible AI principles.
  • Experience implementing LLM observability, monitoring, evaluation frameworks, and production telemetry.
  • Strong written and verbal communication skills with the ability to produce technical documentation and communicate effectively with technical and executive stakeholders.
Preferred Qualifications: Deep Technical Expertise (Highly Desired)
  • Experience building enterprise-scale Agentic AI platforms.
  • Experience implementing automated prompt evaluation, model evaluation, and AI quality assurance frameworks.
  • Experience developing AI guardrails, policy engines, and secure AI deployment patterns.
  • Experience with PostgreSQL performance tuning, asynchronous database drivers (asyncpg), indexing, and query optimization.
  • Experience building event-driven or distributed systems using microservices architectures.
  • Experience supporting National Security or Federal Civilian customers.
$180,000 - $210,000 a year

Benefits:

Expression offers competitive salaries and benefits, such as:

  • 401k matching
  • PPO and HDHP medical/dental/vision insurance
  • Education reimbursement up to $10,000/yr
  • Complimentary life insurance
  • Generous PTO and 11 days of holiday leave
  • Onsite gym facility and trainer
  • Commuter Benefits Plan
  • In-office Cold Brew Coffee
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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