Job Responsibilities: Cloud Architecture & Infrastructure Architect, build, and govern scalable, secure, and cost-efficient AWS infrastructure — EC2, EKS, Lambda, API Gateway, VPCs, IAM, Security Groups, Load Balancers, Route 53, and related services. Lead Infrastructure-as-Code (Ia C) strategy using Terraform and / or AWS CDK; establish reusable module libraries and enforce Ia C governance standards across all projects. Drive multi-account AWS environment management using Control Tower, AWS Organizations, and Landing Zone patterns. Apply AWS Well-Architected Framework principles across all five pillars — reliability, security, operational excellence, performance efficiency, and cost optimisation — on all new and existing workloads. Evaluate and recommend new AWS services and toolchain improvements to keep EXL's platform capabilities current. Team Leadership & People Management Lead, mentor, and coach a team of Dev Ops Engineers. Own sprint planning, workload distribution, and capacity management for the Dev Ops team. Foster a culture of ownership, continuous learning, and engineering excellence within the team. Act as the primary escalation point for critical production incidents and high-priority engineering decisions. CI/CD, Automation & Dev Ops Practices Design, implement, and own enterprise-grade CI/CD pipelines using Git Hub Actions, AWS Code Build, AWS Code Deploy, and Argo CD. Define and enforce branching strategies, deployment standards, release gates, and rollback procedures across all engineering teams. Champion Git Ops practices and drive adoption of automated testing, security scanning (Dev Sec Ops), and compliance checks within pipelines. Create and maintain reusable templates, runbooks, and golden-path toolchains for developers to self-serve infrastructure and deployments. Data Platform & Engineering Collaboration Collaborate closely with data engineering teams to design and support platforms spanning AWS Glue, Databricks, Dynamo DB, Redshift, and S3-based data lakes. Ensure Dev Ops processes, pipeline reliability, and observability are appropriately applied to data and ML/analytics workloads.



Provide infrastructure guidance and developer-experience improvements to application and data engineers to enable faster, safer deployments. Monitoring, Reliability & Security Define and own the observability strategy — dashboards, alerting, log management, and SLO/SLA tracking using Cloud Watch, Grafana, Prometheus, and the ELK Stack. Drive incident management processes — from detection and root-cause analysis through to post-mortems and corrective action follow-through. Enforce cloud security best practices: IAM least-privilege, secrets management, vulnerability scanning, network segmentation, and compliance controls. Lead Fin Ops initiatives — continuous cost visibility, anomaly alerting, rightsizing, and Reserved Instance / Savings Plan strategy. Stakeholder Management & Governance Serve as the primary Dev Ops point of contact for client-facing and internal technical stakeholders. Produce and present infrastructure architecture decisions, platform roadmaps, and cloud health reports to senior leadership. Define and track Dev Ops KPIs — deployment frequency, change failure rate, MTTR, lead time — and use data to guide team priorities. Ensure compliance with organisational, client, and regulatory security and audit requirements. Skills: Must have: Deep, production-grade AWS expertise across compute (EC2, EKS, Lambda), networking (VPC, Route 53, Load Balancers, API Gateway), security (IAM, KMS, Security Groups), and storage (S3, EBS, EFS). Expert-level Infrastructure-as-Code proficiency — Terraform (modules, state management, remote backends) and / or AWS CDK. Proven track record designing and operating CI/CD pipelines at scale — Git Hub Actions, Code Build, Code Deploy, Argo CD; experience with Git Opsdelivery models.



Hands-on container orchestration expertise — Kubernetes / Amazon EKS — including Helm, autoscaling, RBAC, and network policies. Solid experience supporting data engineering platforms: AWS Glue, Databricks, Redshift, Dynamo DB, or equivalent. Robust scripting and automation skills in Python, Bash, or Power Shell to build operational tooling and eliminate manual work. People leadership capability: experience setting team direction, running code / design reviews, and actively growing engineers. Excellent communication and influencing skills — able to translate technical complexity for non-technical audiences and engage senior stakeholders. Good to Have: Hands-on experience with multi-account AWS environments: Control Tower, AWS Organizations, Service Control Policies, and Landing Zone. Cloud cost optimisation experience — RI / Savings Plans, rightsizing recommendations, tagging governance, and cost anomaly detection. Dev Sec Ops practices — SAST / DAST pipeline integration, container image scanning (Trivy, Snyk), secrets management (Hashi Corp Vault, AWS Secrets Manager). Experience with advanced observability tooling — Grafana, Prometheus, ELK Stack, Datadog, or New Relic. Familiarity with AI / ML infrastructure tooling — MLflow, Kubeflow, Amazon Sage Maker, or Amazon Bedrock. Experience in consulting or client-delivery environments; ability to manage competing priorities across multiple simultaneous projects. Exposure to service mesh or advanced Kubernetes networking (Istio, Linkerd) and API gateway patterns. Eligibility: Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.7+ years of total Dev Ops / Cloud Engineering experience with a demonstrable track record of leading projects or teams. Relevant AWS certifications strongly preferred — AWS Solutions Architect Professional, AWS Dev Ops Engineer Professional, or equivalent. Experience working on AWS-based implementations and deployments in analytics, Media, BFSI, healthcare, or consulting environments.

📌 Devops Engineer (Haryana)
🏢 Anonymous
📍 Haryana