EXL - Senior DevOps Engineer - Cloud Architecture & Infrastructure

Role : Senior Cloud Platform Engineer (Senior Devops Engineer) EXL Services - India Designation : Sr. Manager Job Location : Bengaluru/ Delhi NCR Shift Timing : 1 : 00PM IST - 10 : 00 PM IST Experience : 7+ years 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 (IaC) strategy using Terraform and / or AWS CDK; establish reusable module libraries and enforce IaC 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 DevOps Engineers. - Own sprint planning, workload distribution, and capacity management for the DevOps 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 & DevOps Practices : - Design, implement, and own enterprise-grade CI/CD pipelines using GitHub Actions, AWS CodeBuild, AWS CodeDeploy, and ArgoCD. - Define and enforce branching strategies, deployment standards, release gates, and rollback procedures across all engineering teams. - Champion GitOps practices and drive adoption of automated testing, security scanning (DevSecOps), 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, DynamoDB, Redshift, and S3-based data lakes. - Ensure DevOps 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 CloudWatch, 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 FinOps initiatives - continuous cost visibility, anomaly alerting, rightsizing, and Reserved Instance / Savings Plan strategy. Stakeholder Management & Governance : - Serve as the primary DevOps 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 DevOps 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 - GitHub Actions, CodeBuild, CodeDeploy, ArgoCD; experience with GitOps delivery 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, DynamoDB, or equivalent. - Strong scripting and automation skills in Python, Bash, or PowerShell 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. - DevSecOps practices - SAST / DAST pipeline integration, container image scanning (Trivy, Snyk), secrets management (HashiCorp 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 SageMaker, 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 DevOps / Cloud Engineering experience with a demonstrable track record of leading projects or teams. - Relevant AWS certifications strongly preferred - AWS Solutions Architect Professional, AWS DevOps Engineer Professional, or equivalent. - Experience working on AWS-based implementations and deployments in analytics, Media, BFSI, healthcare, or consulting environments