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Staff Site Reliability Engineer

Arcadia
CompanyArcadia
CategoryEngineering
LocationChennai
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted25 May 2026
Last verified3 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
Staff Site Reliability Engineer Who we are: Arcadia is the AI-powered energy intelligence platform for businesses. We replace fragmented tools and manual workflows with one platform to pay utility bills, buy energy, and advance sustainability — across every location, at enterprise scale. Trusted by Fortune 2000 companies, Arcadia combines unified data, AI-powered analytics, and expert advisory to help enterprise teams save money, mitigate risk, and cut carbon . We deliver this through three comprehensive solutions: Utility Bill Management: Automating the entire utility bill lifecycle — from data capture and validation to payment processing and auditing. Energy Procurement Advisory : Bringing together comprehensive data, AI-powered analytics, market expertise, and a strong partner network to make sophisticated procurement options accessible to all. . Sustainability Reporting — Verified emissions data with seamless integration into leading sustainability platforms. Tackling the world's most complex energy challenges requires diverse thinking. We're building teams of people from different backgrounds, industries, and disciplines — united by a belief that energy management should be simple, intelligent, and a genuine driver of business value. What we’re looking for: We are seeking a Staff Site Reliability Engineer (L4) to join our SRE/Platform Engineering team in India. This is a senior technical leadership role — not people management, but engineering leadership through execution, mentorship, and architectural ownership. Our India SRE team is growing, and this role is central to that growth. As we scale, we need a technical anchor in the India timezone who can independently own multi-week SRE projects from problem statement to production, make sound architectural decisions under ambiguity, and elevate the team around them. You will be the person engineers lean on for design reviews, debugging escalations, and “how should we approach this?” conversations. You’ll bring the depth and experience to drive execution autonomously in the India timezone while collaborating closely with US-based SRE leadership on roadmap priorities, incident response, and platform strategy. This is a role for someone who doesn’t wait for direction — you identify reliability gaps, propose solutions, build consensus, and ship. Our infrastructure is primarily AWS-based, managed by Terraform and CloudFormation, and deployed using CI/CD best practices. In your application, please include a link to GitHub or another place where your code is published, though we understand that not everyone has public code online. What you’ll do: Own and deliver SRE projects end-to-end — from scoping and design through implementation, testing, rollout, and documentation Serve as a technical anchor for the India SRE team — conduct design reviews, pair on complex debugging, and mentor engineers to develop the judgment to work through ambiguous problems independently Design and implement infrastructure solutions across AWS (EKS, VPC, RDS, IAM, CloudWatch, CloudTrail, GuardDuty, S3, CloudFront, Lambda, SQS) using Terraform and CloudFormation, with an emphasis on making the right tradeoffs between speed, reliability, and cost Lead Kubernetes operations including cluster upgrades, capacity planning, CNI troubleshooting, workload scaling, Helm chart packaging, and GitOps deployments — and build the runbooks and automation so these become repeatable rather than one-off heroics Evolve CI/CD pipelines across Jenkins (Groovy scripting), GitHub Actions, AWS CodePipeline, ArgoCD, and FluxCD — with an emphasis on reducing manual deployment steps and improving rollback safety  Drive observability stack enhancements — deliver the infrastructure and architectural direction necessary for engineering teams to leverage Prometheus, Grafana, and CloudWatch effectively Identify and execute
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