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