Requirements
aws
kubernetes
terraform
python
ci/cd
sre
Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in India
The ideal candidate is a self-starter and hands-on engineer who can dive deep into complex distributed systems, automate away manual processes, and proactively identify reliability gaps. They should have a proven track record of managing production-grade AWS infrastructure, Kubernetes clusters, CI/CD pipelines, and cloud security. They will collaborate daily with US-based engineering teams and cross-functional partners to ensure our platform remains scalable, secure, and cost-optimized as we continue to grow.
- Exposure to LLMs, RAG, vector DBs, MCP concepts
- Strong understanding of incident management, root cause analysis, and reliability engineering principles
- Experience with n8n self-hosted, workflow automation platforms
- AWS core services (EKS, IAM, RDS, EC2, VPC, CloudWatch, CloudTrail, GuardDuty)
- Experience with cloud security/DevSecOps tools (Trivy, Inspector, OPA, Kyverno)
- Certifications in related field ( AWS , Kubernetes , Terraform ..etc)
- 8–10+ years of experience in SRE/DevOps/Cloud Engineering, with deep hands-on exposure to AWS and Kubernetes
- Hands-on experience with FinOps platforms and cloud cost governance
- Proven ability to operate in high-scale, high-uptime, multi-environment production systems
- Jenkins + Groovy, GitHub Actions, ArgoCD, FluxCD
- Strong hands-on experience with:
- Ability to work independently with minimal supervision, take ownership, and drive initiatives end-to-end
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
- Excellent communication skills (must interact with US teams daily)
- A growth mindset, strong troubleshooting ability, and comfort with complex cloud-native environments
- Experience building automation via Python/Bash and reducing operational toil
- Kubernetes troubleshooting and operations
- Experience working with globally distributed teams across multiple time zones
Benefits
- Competitive compensation and employee stock options
- Comprehensive medical insurance (self + family members)
- Flexible leave policy
- Hybrid/remote-first working model (India-based role, with global collaboration)
- Annual performance cycle + quarterly recognition awards
Training + Development
Information not given or found
