{"id":4196181,"url":"https://alion.io/job/intellect-design-arena-site-reliability-engineer","title":"Site Reliability Engineer","company":{"id":9200,"name":"Intellect Design Arena","domain":"intellectdesign.com","url":"https://alion.io/company/intellect-design-arena","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"Fabric AI","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"OpenSearch","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"TCP/IP","optional":false},{"name":"Terraform","optional":false},{"name":"GitOps","optional":true},{"name":"Helm","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true},{"name":"Service Mesh","optional":true}],"status":"live","first_seen_at":"2026-11-12T17:21:59Z","employer_posted_date":null,"last_verified_at":"2026-11-12T17:21:59Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Site Reliability Engineer (SRE) – Purple Fabric AI Platform - iAI (Intellect Artificial Intelligence)\n\nAbout Us:\n\nIntellect Design Arena Ltd is an enterprise-grade financial technology leader, providing composable and intelligent solutions for futuristic global financial institutions across 57 countries. Intellect's revolutionary First Principles Thinking-based Enterprise Connected Intelligence Platform, eMACH.ai, is the most comprehensive, composable, and intelligent open finance platform in the world. With an impressive array of 329 microservices, 535 events, and over 1757 APIs, eMACH.ai enables financial institutions to design and deploy future-ready technology solutions that provide a significant global competitive edge.\n\nFor more information about Intellect, visit https://www.intellectdesign.com/\n\nPurplefabric.ai\n\nAbout the Role:\n\nWe are looking for an experienced Site Reliability Engineer (SRE) to build, operate, and improve the reliability, scalability, availability, and performance of the Purple Fabric AI Platform. The role involves working closely with Platform Engineering, DevOps, Cloud, Development, and AI teams to run a highly scalable enterprise AI platform.\n\nLocation: Chennai / Hyderabad \nExperience: 7+ Years to 13 Years\n\nKey Responsibilities:\n\n● Design, deploy, and manage highly available Kubernetes clusters across cloud environments.\n● Perform Kubernetes cluster creation, administration, upgrades, scaling, and troubleshooting.\n● Build and maintain reliable AWS cloud infrastructure supporting enterprise AI workloads.\n● Develop and manage CI/CD pipelines, infrastructure automation, and deployment processes.\n● Implement Infrastructure as Code (IaC) using Terraform or similar tools.\n● Establish monitoring, logging, alerting, and observability for platform and application workloads.\n● Drive SRE practices including SLIs, SLOs, SLAs, error budgets, capacity planning, and incident management.\n● Troubleshoot production issues across Kubernetes, AWS, networking, compute, storage, and application layers.\n● Automate repetitive operational activities using Python, Shell, or similar scripting languages.\n● Implement security, reliability, backup, disaster recovery, and business continuity practices.\n● Participate in on-call support, incident response, RCA, and preventive action planning.\n● Optimize infrastructure for performance, scalability, availability, and cost.\n\nMust-Have Skills:\n● Strong hands-on experience in SRE / DevOps / Platform Engineering.\n● Excellent knowledge of Kubernetes administration and cluster management.\n● Experience in Kubernetes cluster creation, upgrades, scaling, and troubleshooting.\n● Strong hands-on experience with AWS – EKS, EC2, VPC, IAM, S3, CloudWatch, Load Balancing, etc.\n● Strong experience with Terraform / Infrastructure as Code.\n● Hands-on experience with Docker and containerization.\n● Experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or Argo CD.\n● Strong knowledge of Linux, networking, DNS, TCP/IP, load balancing, and security.\n● Experience with monitoring/observability tools such as Prometheus, Grafana, ELK/OpenSearch, or equivalent.\n● Strong scripting/programming skills in Python or Shell.\n\n Good to Have \n● Experience supporting AI/ML or GenAI platforms.\n● Knowledge of LLM, RAG, vector databases, model-serving infrastructure, or GPU workloads.\n● Experience with service mesh, GitOps, Argo CD, Helm, or Operators.\n● Knowledge of AWS security, IAM, and enterprise governance.\n● Experience designing highly scalable, multi-tenant platforms.\n● Exposure to FinTech/BFSI enterprise environments.\n\nKey Competencies:\nKubernetes | AWS | EKS | SRE | DevOps | Platform Engineering | Terraform | Docker | CI/CD | Observability | Linux | Python/Shell | Networking | Incident Management | High Availability | Scalability\nExperience 6–10 years of relevant experience in SRE, DevOps, Cloud Infrastructure, or Platform 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