AWS DevOps Engineer at Experian

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

09 Jul, 26

Salary

0.0

Posted On

10 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Terraform, CloudFormation, Jenkins, GitHub Actions, Docker, Kubernetes, EKS, ArgoCD, Prometheus, Grafana, Python, Bash, Go, DevSecOps, IAM

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description Job description Cloud Infrastructure & Platform Engineering Design and manage scalable AWS infrastructure using Infrastructure as Code (Terraform, CloudFormation, CDK). Build reusable platform components and golden paths for engineering teams. Implement multi-account, multi-region architectures with strong governance. CI/CD & Release Engineering Design and maintain end-to-end CI/CD pipelines using Jenkins, Harness, GitHub Actions, or similar. Enable progressive delivery strategies (blue/green, canary, feature flags). Integrate automated testing, security scanning, and compliance checks into pipelines. Containerization & Orchestration Build and manage containerized workloads using Docker and Kubernetes (EKS). Implement GitOps workflows using ArgoCD/Flux. Optimize cluster performance, cost, and reliability. Observability & AIOps Implement full-stack observability using CloudWatch, Prometheus, Grafana, OpenTelemetry. Build AI-assisted monitoring and alerting systems for anomaly detection and root cause analysis. Enable self-healing systems using automation and event-driven responses. Security & DevSecOps Embed security into pipelines using SonarQube, Snyk, Veracode, Trivy. Implement IAM best practices, secrets management, and zero-trust principles. Ensure compliance with enterprise security and data governance standards. AI-Enabled DevOps Leverage AI tools (Claude Code, Copilot) for automation, script generation, and pipeline optimization. Build agent-driven operational workflows (auto-remediation, incident summarization, runbook generation). Use AWS Bedrock / AI services for intelligent automation and operational insights. Cost Optimization & Reliability Implement FinOps practices for cost visibility and optimization. Define and monitor SLOs/SLIs and error budgets. Drive reliability engineering practices across platforms. Collaboration & Enablement Partner with engineering teams to improve developer experience (DevEx). Enable teams through self-service platforms and automation. Contribute to platform engineering standards and best practices. Required Skills & Technical Competencies Cloud & Infrastructure 5+ years of strong AWS expertise: S3, EC2, Lambda, EKS, RDS, DynamoDB, VPC, IAM Infrastructure as Code: Terraform, CloudFormation, or CDK CI/CD & DevOps Tooling Jenkins, Harness, GitHub Actions, GitLab CI Artifact management (Nexus/Artifactory) GitOps tools (ArgoCD, Flux) Containers & Orchestration Docker, Kubernetes (EKS) Helm, Kustomize Observability & Reliability Prometheus, Grafana, CloudWatch, OpenTelemetry Incident management and on-call practices AI & Automation Experience using AI copilots (Claude Code, GitHub Copilot) in engineering workflows Exposure to AIOps tools or building automation using LLMs Familiarity with AWS Bedrock or similar AI platforms (preferred) Security & Compliance DevSecOps practices, vulnerability scanning IAM, encryption, secrets management Programming/Scripting Python, Bash, or Go Qualifications Qualifications AWS DevOps Engineer Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Technology Schedule: Full Time

Responsibilities

Design and manage scalable AWS infrastructure using Infrastructure as Code and maintain end-to-end CI/CD pipelines. Implement containerized workloads, observability systems, and security best practices to ensure reliable and compliant platform operations.