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Senior Site Reliability Engineer - I

Sumo Logic · Noida

Posted
today
Experience
3+ yrs
Pay
Not stated
Role
DevOps engineer
Stakeholder managementProblem solvingTroubleshooting
Apply nowThe company's application form opens right here, with your details and cover letter beside it.

About the job

Title: Senior Site Reliability Engineer- I : FinOps

Location: Noida, Hybrid

Sumo Logic's FinOps team makes every dollar of cloud and AI spend visible, attributable and optimizable. As a Senior SRE, you'll apply SRE principles (measurement, observability, automation and accountability) to FinOps and cost optimization, treating cost the way SREs treat reliability. That means building, running and improving the tooling behind our cost decisions, from cost data pipelines and dashboards to unit-economics and allocation reporting. Beyond the tooling, you'll design new FinOps capabilities from concept through rollout and bring your technical expertise to cross-team cost-saving initiatives.

What you will do:

FinOps tooling & cost observability

- Build, maintain and improve FinOps tooling, including cost data pipelines, telemetry jobs, dashboards and reports across all Sumo Logic deployments.

- Implement and evolve unit-economics and cost-allocation reporting so cloud and AI spend maps accurately to the teams and products that drive it.

- Support and improve our cost regression program and tooling, detecting and investigating cost increases and helping teams resolve them.

- Support cross-team cost-saving initiatives, partnering with engineering teams to identify, implement and measure savings, and contribute to the cost optimization roadmap.

- Support commitment tracking (CSP, RI, EDP) with accurate coverage and utilization data.

Applying SRE principles to FinOps

- Run FinOps tooling and cost data pipelines like production services, with monitoring, alerting, data-quality checks and runbooks.

- Build actionable cost alerting and budget thresholds, modeled on SRE error budgets and burn-rate alerting.

- Automate manual cost reporting and analysis work.

- Design and implement new FinOps capabilities, from technical design through rollout.

What you already have

- Bachelor’s or Master’s in Computer Sciences, Engineering, Finance or related field (Ph.D. is a plus)

- Comfortable with cost and unit-economics concepts (allocation, amortization, cost per unit), with the ability to turn complex data into actionable insights

- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights

- Track record of taking ownership and influencing results, working across internal and external organizations, including engineering, finance and marketing

- Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders

- Technical skills :

- 3+ years of professional experience in data or software engineering roles

- 1+ years of experience with cloud financial management or FinOps framework

- Demonstrative ability to build and operate data pipelines with complex sources

- Operational expertise in high scale, reliable 24/7, multi-tenant global SaaS

- Strong coding and debugging skills (Scala experience highly beneficial)

About Us

Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy . Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

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