AWS Cloud Devops Engineer

We have immediate opportunity for Senior Cloud DevOps Engineer. Job Role: Senior AWS DevOps Engineer ( AWS + Python + Typescript) Experience- 7 years - 10 Years We are seeking highly skilled and experienced Cloud DevOps Engineers to join our team. As a Cloud DevOps Engineer, you will be responsible for designing, deploying, and implementing cloud architecture solutions using Microsoft Azure. You will collaborate with internal teams to fulfil their requirements, ensure successful project delivery and to help maintain highly available applications. Cloud Practice – Specialist Platform Engineer Location: Pune (Hybrid) Cloud (Platform Engineering) Employment Type: Full‑time This role strengthens our internal Cloud Platform Engineering capability and supports multiple Practices by taking greater ownership of the internal engineering backlog , running production grade platforms (including AI Chat Bot , Internal AI enhanced productivity and Ops , and future AI services), and accelerating engineering maturity across environments through IaC, CI/CD, Kubernetes operations, observability and FinOps . You will also document and publish reusable patterns/accelerators , mentor Graduates rotating for 3–6 months and conduct Level1 interviews to help close priority roles. Backlog Ownership: A transparent engineering backlog for shared platform work (multi-practice), with clear SLAs/SLOs and a steady burndown velocity. # Stable and secure operations of AI Chat Bot, Internal AI enhanced productivity and Ops experience platforms, and future AI services with robust runbooks, on call readiness, change discipline, and incident postmortems. # Adoption = services onboarded + policy conformance.) # Reusable Assets: Talent Pipeline: Training graduates complete a three to six month rotation, during which their skills and client readiness are documented and approved, while Level 1 interviews are conducted regularly using clear rubrics. # Consistent partner feedback on clarity of roadmaps, documentation quality, and timely platform support. Platform Operations & Support Run day-to-day platform operations for AI Chat Bot, AI Enhanced Ops platforms, and future AI services (availability, performance, cost, security, change/incident, and DR drills). Establish production grade monitoring, alerting, tracing, dashboards, SLOs, and error budgets, drive observability by default. Maintain configuration, patching, upgrades, backup/restore, and environment hygiene across cloud and Kubernetes layers with strong documentation and runbooks. Engineering Enablement (IaC, CI/CD, Kubernetes) Lead the standardization and adoption of Infrastructure as Code ( Terraform/Tofu, CloudFormation, Ansible ), Git workflows, and policy-as-code. Design and evolve CI/CD for both platform and application teams (automated testing, security gates, and release orchestration). Operate and optimize Kubernetes (cluster lifecycle, addons, namespaces, network/security policies, scaling, upgrades, multi env promotions), guide teams on container and Helm best practices. Contribute to secure, compliant landing zones and environment blueprints for AWS (and Azure as secondary) with network, identity, secrets, and controls baked in. Collaborate on scalable, secure AWS solution designs and performance/cost optimizations for platform services. Author and maintain pattern catalogues, accelerators, runbooks, and best practices for platform engineering and developer enablement. Build small libraries/utilities that solve recurring problems for Cloud Architects and application squads. Talent & Community Mentor “Training graduates” on rotation (3–6 months) via a structured and pre-defined learning plan (IaC, CI/CD, K8s ops, observability, SRE fundamentals). Conduct L1 interviews , shortlist candidates, and provide structured feedback to hiring panels. Cloud: Primary AWS , secondary Azure ; Programming: Python (development, not just scripting); TypeScript to an average level for tooling and portals; DevOps Tooling: Git , CI/CD pipeline development (e.g., Kubernetes: Cluster operations and app lifecycle management (Helm, ingress, service mesh desirable), with production incident handling. Identity & Access: User management on cloud platforms, IAM/RBAC , access role management, directory integration, and governance guardrails. Experience building developer facing CI/CD blueprints and GitOps workflows. Exposure to multi-cloud and migration of complex, multi-tier apps . Certifications: AWS (SA Associate/Professional, DevOps, SysOps) and Kubernetes certification . Professional Experience ~7–10 years total experience in cloud/platform engineering or DevOps for production workloads, including hands-on Kubernetes and IaC at scale. ~ Strong collaboration with security, networking, and application teams; “