Join a high-performing, agile FinOps Engineering team focused on building the technical capabilities that optimize cloud and platform spend and improve value realization. You will work hands-on across AWS and private cloud infrastructure, container platforms, and automation to detect waste, drive remediation (rightsizing, scheduling, elastic scaling), and deliver measurable savings. You’ll partner closely with engineering, finance, and product stakeholders to translate cost and usage data into actionable engineering work and track results against budgets, forecasts, and realized savings.
Required qualifications, capabilities, and skills:
• Education/Experience: Bachelor’s in CS/CIS/Engineering (or equivalent practical experience).
• Core technical (FinOps Engineering): Strong AWS engineering fundamentals with cost awareness (billing concepts, tagging/allocation basics, cost drivers, cost attribution); ability to translate usage into actionable engineering changes.
• AWS platform depth (must have): Aurora PostgreSQL; ECS on Fargate (task sizing, autoscaling, scheduling/capacity-provider strategy); Karpenter (or comparable Kubernetes cluster autoscaling concepts).
• Infrastructure as Code / Dev tools: Terraform; GIT workflows (branching, PRs, code review); Bitbucket; IDE proficiency.
• CI/CD & deployment: Harness or Jenkins pipelines; Spinnaker (working knowledge or experience).
• Programming/automation: Python; JavaScript; ability to build/maintain automation with production practices (tests, logging, observability, documentation).
• Financial literacy (must have): Budgets, variance analysis, forecasting/outlooks; ability to quantify waste, estimate expected savings, implement remediation, and measure realized savings.
• Communication: Strong written/verbal communication; able to explain technical + financial concepts clearly to engineering, finance, and product stakeholders; able to provide resolution recommendations when inefficiencies are identified.
Preferred qualifications, capabilities, and skills:
• FinOps specialization: Experience building or operating cost optimization capabilities (spend anomaly detection, waste detection, rightsizing, scheduling automation, showback/chargeback, unit cost modeling).
• LLM/automation: Prompt engineering and/or building LLM-enabled workflows/skills integrated with engineering systems and cost data.
• Forecasting: Practical application of time series or driver-based forecasting methods for cloud/platform spend.
• Containers level cost attribution: Familiarity with workload cost allocation/attribution approaches and telemetry (labels/tags discipline, metrics-based attribution).
About UsWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
