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Finops Engineer Jobs in Massachusetts (NOW HIRING)

FinOps or GPU cost optimization experience across large inference workloads. * Open-source ... Regular meetings with the AI Platform Engineering team * Focused one-on-one meetings with your ...

Deputy Chief Engineer

Tewksbury, MA · On-site

$131K - $237K/yr

Experience with Site Reliability Engineering, probability-based metrics, and integration with FinOps platforms. C1NACSS If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild ...

AI Platform Engineer

Boston, MA · On-site

$134K - $176K/yr

Exposure to FinOps principles or GPU cost considerations in inference workloads. * Experience contributing to internal developer platforms (IDPs) with an appreciation for developer experience. * Open ...

Deputy Chief Engineer

Tewksbury, MA · On-site

$131K - $237K/yr

Experience with Site Reliability Engineering, probability-based metrics, and integration with FinOps platforms. C1NACSS If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild ...

AI Platform Engineer

Springfield, MA · On-site

$134K - $176K/yr

Exposure to FinOps principles or GPU cost considerations in inference workloads. * Experience contributing to internal developer platforms (IDPs) with an appreciation for developer experience. * Open ...

Partner with SRE, AppSec, and FinOps on cross-cutting initiatives: zero-trust progress, GDPR/compliance guardrails, and audit readiness for SOC 2/ISO 27001. * Write high-impact code, automation, and ...

Principal, Data Engineer

Woburn, MA · On-site

$170K - $213K/yr

Establish engineering standards for coding, testing, version control, documentation, and continuous integration/continuous delivery ("CI/CD"); optimize cost, performance, and scalability using FinOps ...

Principal Cloud Engineer

Boston, MA · On-site

$60.50 - $81/hr

Your goal: engineers merge code and it reaches production safely without manual intervention. You ... Cost optimization: resource tagging strategies, FinOps practices in aws * Policy-as-code: OPA/Rego ...

Principal Cloud Engineer

Boston, MA · On-site

$60.50 - $81/hr

Your goal: engineers merge code and it reaches production safely without manual intervention. You ... Cost optimization: resource tagging strategies, FinOps practices in aws * Policy-as-code: OPA/Rego ...

Principal Cloud Engineer

Boston, MA · On-site

$60.50 - $81/hr

Your goal: engineers merge code and it reaches production safely without manual intervention. You ... Cost optimization: resource tagging strategies, FinOps practices in aws * Policy-as-code: OPA/Rego ...

Partner with SRE, AppSec, and FinOps on cross-cutting initiatives: zero-trust progress, GDPR/compliance guardrails, and audit readiness for SOC 2/ISO 27001. * Write high-impact code, automation, and ...

Partner with SRE, AppSec, and FinOps on cross-cutting initiatives: zero-trust progress, GDPR/compliance guardrails, and audit readiness for SOC 2/ISO 27001. * Write high-impact code, automation, and ...

Senior Cloud Engineer

Boston, MA · On-site

$60.50 - $81/hr

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

Senior Principal AI Engineer

Boston, MA · On-site

$136K - $187K/yr

AI FinOps, including token and consumption visibility, budgeting, chargeback/showback, cost ... Partner closely with product, engineering, data, security, and UX teams to deliver common AI ...

Showing results 21-40

Finops Engineer information

See Massachusetts salary details

$42.6K

$111.1K

$150.2K

How much do finops engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for finops engineer in Massachusetts is $111,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $127,200.00 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 Massachusetts? For Finops Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Finops Engineer jobs in Massachusetts look for? The top searched job categories for Finops Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Finops Engineer jobs? Cities in Massachusetts with the most Finops Engineer job openings:
Infographic showing various Finops Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $111,126 per year, or $53.4 per hour.

Principal Engineer, Core Infrastructure

Klaviyo

Boston, MA • On-site

Full-time

Re-posted 4 days ago


Job description

As a handson principal for compute, networking, storage, runtimes (e.g., Kubernetes), CI/CD, and observability, you'll architect the service platform that lets teams ship fast and safely. IC role-no direct reports-you lead via design, code, and incident excellence, setting technical standards and SLOs for platform services.

What You'll Do

  • Architect and evolve the Kubernetes platform, service mesh, networking, storage, and CI/CD pipelines; ship golden paths and IaC modules.
  • Define platform SLOs; use error budgets to guide reliability vs. velocity tradeoffs; drive incident learning and readiness reviews.
  • Improve developer velocity (build/deploy times, flaky tests, local dev ergonomics) with measurable results.
  • Lead capacity planning and commitments; build guardrails for cost, security, and compliance with Security/FinOps partners.
  • Write highimpact code, automation, and tooling; mentor across teams and raise the bar on operational excellence
  • Embed AI in the developer experience-from code generation to observability and incident response-so teams ship faster and safer by default.

Who You Are

  • Experience: 10+ years building and operating cloud platforms (compute, networking, storage, runtimes like Kubernetes), with a track record of multiregion HA and SLO rigor.
  • Technical expertise: Deep in Kubernetes, service mesh, Terraform/IaC, CI/CD, and production observability; you ship golden paths and guardrails that lift the whole org.
  • Experience with databases and storage systems, including SQL and NoSQL databases, and object, block, or file storage platforms.
  • AI tools & automation: You've brought AI into platform engineering-from copilotassisted workflows and intelligent test generation to AIOps for incident triage, anomaly detection, and runbook automation-with clear security and cost boundaries.
  • Ops leadership: You lead via design reviews, incident excellence, and SLO/errorbudget tradeoffs communicated in business terms.
  • AI fluency: You're handson with AI tools and help teams adopt them responsibly.

Nice to Haves

  • Core SLOs & velocity: 99.95% SLOs for core services; 25-50% faster build/deploy times; developerreported friction trending down.
  • AIenabled platform: Approved AI tooling is integrated into IDE/CI/CD with repo policies and auditability; 70% MAU among eligible engineers; MTTR down 20-30% via AIassisted triage; flakytest rate decreases through targeted, AIsuggested fixes.
  • Guardrails in place: Cost, security, and compliance controls are codified as IaC modules and enforced in paved roads.
  • Experience with enterprise governance, including compliance and audit requirements.
  • Familiarity with GDPR and data privacy considerations in large-scale, production environments.

Success in 6-12 Months

  • 99.95% SLOs for core services; 25-50% faster build/deploy times; reduced developerreported friction; incident recurrence trending down.

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