Cloud DevOps Engineer

Good-day,

We have immediate opportunity for Senior 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 Engineer

Location : Pune (Hybrid)

Practice : Cloud (Platform Engineering)

Level : Senior / Lead (IC with mentorship responsibilities)

Employment Type : Full‑time

Role Purpose

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.

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 of Terraform / Tofu, CloudFormation, Ansible , Git based CI / CD , and observability across non-prod and prod environments. (Adoption = services onboarded + policy conformance.)

Reusable Assets : A curated internal library of platform patterns, IaC modules, and CI / CD blueprints that 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 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.

Build / maintain reusable Terraform modules and reference pipelines that are versioned, documented, and tested .

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.

Architecture & Landing Zones

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.

Reusable Patterns, Docs, and Thought Leadership

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.

Core Technical Requirements

Must have

Cloud : Primary AWS , secondary Azure ; hands-on with core services (e.g., EC2 / EKS / ECS / Lambda / S3 / RDS), landing zones, and security controls.

Programming : Python (development, not just scripting); TypeScript to 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 / CD pipeline 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 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.

Demonstrated ability to document architectures, runbooks , and present complex technical concepts to mixed audiences.

Strong collaboration with security, networking, and application teams; “automate everything” mindset.