ZipRecruiter

Log In

1

Finops Engineer Jobs in Seattle, WA (NOW HIRING)

Redapt

Software Engineer - Hyper- V

Woodinville, WA · On-site

You will engineer and operate enterprise-scale Microsoft Hyper-V virtual infrastructure across ... Consider all risks, potential environmental impacts, and FinOps implications when designing and ...

SmithRx

Senior Cloud Engineer

Seattle, WA

$118K - $163K/yr

Additionally, this engineer will be responsible for development cycles in integration/continuous ... Experience with FinOps practices and establishing related governance programs. * Experience with ...

RADIANT LOGISTICS INC

Cloud Dev AI Ops Engineer

Renton, WA · Hybrid

$92K - $114K/yr

Cloud DevAIOps Engineer Location: Renton, WA / Hybrid (2-3 days per week onsite) Type: Full-Time ... FinOps / cloud cost management experience. * Experience with databases: Postgres, ClickHouse. * On ...

F5, Inc.

Product Manager II

Seattle, WA · On-site

Experience with developer platforms, technical documentation, or internal developer relations (DevRel). * Understanding of cloud governance, FinOps, or managing usage costs for API platforms. * Hands ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

Apply FinOps principles to identify and execute cost optimization opportunities across vector ... Mentor junior engineers, contribute to design reviews, and champion engineering best practices ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

Apply FinOps principles to identify and execute cost optimization opportunities across vector ... Mentor junior engineers, contribute to design reviews, and champion engineering best practices ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

Apply FinOps principles to identify and execute cost optimization opportunities across vector ... Mentor junior engineers, contribute to design reviews, and champion engineering best practices ...

Flexera

Renewals Account Manager

Home, WA · Hybrid

A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions ... You'll work closely with Sales, Customer Success, and Solution Engineering to retain, expand, and ...

previous pagenext page

Showing results 21-40

All JobsFinops Engineer JobsFinops Engineer Jobs in Seattle, WA

Finops Engineer information

See Seattle, WA salary details

$44.4K

$115.9K

$156.6K

How much do finops engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for finops engineer in Seattle, WA is $115,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,700.00 per year, depending on experience, location, and employer.

What is a FinOps engineer?

FinOps Engineers are professionals who specialize in cloud financial management, helping organizations optimize their cloud spending and improve budgeting, forecasting, and cost allocation. They work closely with engineering, finance, and operations teams to implement best practices for cloud usage and cost control. Their goal is to ensure that cloud investments deliver maximum business value by balancing performance, cost, and innovation.

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

To thrive as a FinOps Engineer, you need a solid understanding of cloud computing, financial analysis, and cost optimization, often supported by a background in computer science, finance, or cloud certifications. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), cost management tools, and data analytics systems is essential. Strong problem-solving, cross-functional collaboration, and effective communication skills set top performers apart in this role. These skills are crucial for managing cloud spending efficiently and enabling organizations to maximize value from their cloud investments.

What is the difference between Finops Engineer vs Cloud Engineer?

AspectFinops EngineerCloud Engineer
CredentialsCertifications in cloud cost management, FinOps Foundation, cloud platformsCertifications in cloud architecture, AWS, Azure, or GCP
Work EnvironmentFinance and operations teams, cloud cost optimization projectsCloud infrastructure setup, deployment, and management
Industry UsageFinance, IT, cloud service providersIT, cloud service providers, enterprise IT teams

Finops Engineers focus on managing and optimizing cloud costs, working closely with finance and operations teams. Cloud Engineers build and maintain cloud infrastructure. While both roles require cloud platform knowledge, Finops Engineers specialize in cost management, making them distinct yet complementary roles in cloud environments.

How does a FinOps engineer typically collaborate with engineering and finance teams to optimize cloud spending?

A FinOps Engineer acts as a bridge between engineering and finance teams by translating technical cloud usage data into actionable financial insights. They often participate in regular meetings with both groups to review cloud costs, identify optimization opportunities, and set budgetary controls. This role requires clear communication to ensure that engineering teams can maintain performance while finance teams achieve cost visibility and predictability. FinOps Engineers also help establish and enforce best practices for tagging, resource allocation, and forecasting to support collaborative decision-making.
What are popular job titles related to Finops Engineer jobs in Seattle, WA? For Finops Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Finops Engineer jobs in Seattle, WA look for? The top searched job categories for Finops Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Finops Engineer jobs? Cities near Seattle, WA with the most Finops Engineer job openings:
Finops Engineer jobs near you
Infographic showing various Finops Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $115,862 per year, or $55.7 per hour.

Generative AI Applications Engineer (Agents & RAG)

Accenture Federal Services

Seattle, WA • On-site

Full-time

Re-posted 7 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 481 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to enhancing the capabilities of the US federal government through technology and innovation. The Generative AI Applications Engineer will be responsible for developing secure and scalable GenAI applications, focusing on agentic workflows and RAG systems for various federal missions.
Responsibilities:
• Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments; target low hallucination, tight p95 latency, and predictable cost.
• Agent frameworks & orchestration: Apply patterns from LangChain/LlamaIndex/Semantic Kernel; design task decomposition, tool use, guardrails, and recovery/fallback strategies.
• Platform integration (no model training): Implement with AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed services (e.g., Document AI, Gemini, Gemma).
• LLM selection & evaluation: Compare models for quality, safety, latency, cost; author/test prompts & policies; deploy with observability and safe rollback/fallback.
• RAG done right: Build retrieval pipelines & vector search (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma); handle data prep, chunking, metadata, and IRstyle evals (e.g., NDCG) to maximize signal to noise.
• Production rigor: Instrument metrics/logs/traces; run A/B experiments; maintain incident playbooks; and implement safety & compliance guardrails.
• SRE & FinOps for AI: Define SLIs/SLOs (quality/latency/safety/cost), run on call and postmortems, reduce MTTR; meter usage and optimize token/spend.
• Reusable platform components: Ship SDKs, CI/CD templates, Terraform/IaC modules, evaluation harnesses that accelerate multiple mission team not one-off projects.
• Operate in real world constraints: Deliver into hybrid, restricted, or air gapped environments with Zero Trust principles and audit ready controls.
Qualifications:
Required:
• End-to-end ownership of production systems: integration → deployment → observability → incident response.
• Hands-on experience with LLMs, transformer based apps, and RAG in production.
• Strong Python
• Experience with vector search and retrieval (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma) and grounding AI in enterprise/mission data.
• U.S. Citizenship
Preferred:
• Integration with leading cloud AI services or on prem inference stacks
• Background in LLM evaluation, prompt authoring/testing, A/B experimentation, and LLM Ops.
• Responsible AI expertise (privacy, security, bias, transparency, human in the loop) and data governance.
• Experience implementing tool using agents for API integration and external data access.
• Containerization & orchestration (Docker, Kubernetes, VMware) and scripting/automation (Linux Bash, PowerShell).
• Prior work in regulated/secure environments (e.g., ATO, STIGs, Zero Trust) with fast shipping.
• Familiarity with NVIDIA AI Foundations, OpenAI ChatGPT, and AI assisted dev tools (Cursor, Windsurf, Claude).
• Contributions to internal frameworks or opensource; mentorship of engineers.
• Clear communication with engineers, PMs, and security/compliance stakeholders.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply