Cloud DevOps Engineer

9 hours ago


New Delhi, India Synechron Full time

Good-day,We have immediate opportunity forSenior Cloud DevOps Engineer.Job Role:Senior AWS DevOps Engineer ( AWS + Python + Typescript) Job Location:Pune, Hinjewadi Experience-7 years - 10 Years Notice Period : Upto 30 days.Job Description : 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 EngineerLocation:Pune (Hybrid) Practice:Cloud (Platform Engineering) Level:Senior/Lead (IC with mentorship responsibilities) Employment Type:Full‑timeRole Purpose This role strengthens our internal Cloud Platform Engineering capability and supports multiple Practices by takinggreater ownership of the internal engineering backlog ,running production grade platforms(includingAI Chat Bot ,Internal AI enhanced productivity and Ops , and future AI services), andaccelerating engineering maturityacross environments throughIaC, CI/CD, Kubernetes operations, observability and FinOps . You will alsodocument and publish reusable patterns/accelerators ,mentor Graduatesrotating for 3–6 months andconduct Level1 interviewsto help close priority roles.Key Outcomes (What success looks like – first 12 months) Backlog Ownership:A transparent engineering backlog for shared platform work (multi-practice), with clear SLAs/SLOs and a steady burndown velocity. Production Reliability: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. Engineering Maturity:Measurable adoption ofTerraform/Tofu, CloudFormation, Ansible ,Git based CI/CD , andobservabilityacross non-prod and prod environments. (Adoption = services onboarded + policy conformance.) Reusable Assets:A curated internal library ofplatform patterns, IaC modules, and CI/CD blueprintsthat reduce time-to-ready for new work by 30–50%. 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. Stakeholder Confidence:Consistent partner feedback on clarity of roadmaps, documentation quality, and timely platform support.What You’ll Do Platform Operations & Support Run day-to-day platform operations forAI 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 thestandardization and adoptionof Infrastructure as Code ( Terraform/Tofu, CloudFormation, Ansible ), Git workflows, and policy-as-code. Build/maintainreusable Terraform modulesand reference pipelines that are versioned, documented, andtested . Design and evolveCI/CDfor bothplatformandapplicationteams (automated testing, security gates, and release orchestration). Operate and optimizeKubernetes(cluster lifecycle, addons, namespaces, network/security policies, scaling, upgrades, multi env promotions), guide teams on container and Helm best practices.Architecture & Landing Zones Contribute tosecure, compliant landing zonesand environment blueprints for AWS (and Azure as secondary) with network, identity, secrets, and controls baked in. Collaborate onscalable, secure AWS solution designsand performance/cost optimizations for platform services.Reusable Patterns, Docs, and Thought Leadership Author and maintainpattern catalogues, accelerators, runbooks, and best practicesfor platform engineering and developer enablement. Build smalllibraries/utilitiesthat 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.Core Technical Requirements Must have Cloud:PrimaryAWS , secondaryAzure ; hands-on with core services (e.g., EC2/EKS/ECS/Lambda/S3/RDS), landing zones, and security controls. Programming:Python(development, not just scripting);TypeScriptto an average level for tooling and portals; familiarity with REST and CLI tooling. IaC & Config Mgmt:Terraform ,OpenTofu ,CloudFormation ,Ansible ; authoring reusable modules with tests and documentation. DevOps Tooling:Git ,CI/CDpipeline development (e.g., Jenkins/GitLab/CodeDeploy) and config/secrets management. Kubernetes:Cluster operations and app lifecycle management (Helm, ingress, service mesh desirable), with production incident handling. Observability:Tracing, metrics, logs, dashboards, alerting, capacity/cost visibility, and SLO/SLI design. Identity & Access:User management on cloud platforms,IAM/RBAC , access role management, directory integration, and governance guardrails. Nice to Have Experience buildingdeveloper facing CI/CD blueprintsandGitOpsworkflows. Exposure tomulti-cloudandmigration of complex, multi-tier apps . Certifications:AWS (SA Associate/Professional, DevOps, SysOps) andKubernetes certification .Professional Experience 7–10 yearstotal experience in cloud/platform engineering or DevOps for production workloads, including hands-on Kubernetes and IaC at scale. Demonstrated ability todocument architectures, runbooks , andpresent complex technical conceptsto mixed audiences. Strong collaboration with security, networking, and application teams; “automate everything” mindset.


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