Apoorv Katiyar

DevOps Engineer with 5+ years architecting CI/CD pipelines, Kubernetes (Amazon EKS) infrastructure, and DevSecOps practices for enterprise-scale production systems. Proven track record cutting deployment lead time 50%, reducing deployment errors 40%, and scaling reusable pipeline tooling across 25+ engineering teams. Hands-on across AWS, Terraform, GitHub Actions, GitLab CI/CD, ArgoCD, GitOps, Helm, Prometheus/Grafana, and HashiCorp Vault, with growing focus on GenAI/Agentic AI-assisted engineering workflows, observability, DORA metrics, and platform engineering culture.

DevOps Engineer & Cloud Infrastructure — Application Development Analyst at Accenture (2022-02 – Present)

• Engineered CI/CD pipeline migration of 3+ production apps from GitLab CI/CD to GitHub Actions, achieving 50% reduction in deployment lead time with zero-downtime cutover across dev, staging, and production environments.
• Architected Common Pipeline Components (CPC) — an inner-source library of reusable GitHub Actions / GitLab CI/CD templates (build, unit test, SAST/SCA, artifact publish) adopted by 25+ engineering teams, cutting pipeline setup time by 60% and enforcing zero-defect deployment policies.
• Designed VP2 Deployment Automation for frontend microservices using blue-green deployment with HashiCorp Vault (secrets management), Nexus + AWS S3 (multi-stage artifact promotion), and MongoDB (audit logging) — reducing deployment errors 40% and enabling daily production releases.
• Adopted GenAI and Agentic AI tooling (Claude, GitHub Copilot) into daily engineering workflows to accelerate CI/CD template authoring, automate code/PR reviews, and speed up runbook and documentation generation — cutting routine engineering toil across teams.
• Built full-stack observability with Prometheus and Grafana — enabling proactive alerting, SLO/SLA tracking, and reducing MTTD and MTTR across production environments.
• Integrated DevSecOps quality gates (BlackDuck SCA, SonarQube SAST, Snyk) into CI/CD pipelines, enforcing supply chain security and preventing vulnerable code from reaching production.
• Configured versioned artifact promotion in Nexus Repository Manager with environment-gated releases, ensuring full deployment traceability and eliminating untested artifacts from production.
• Implemented DORA metrics (lead time for changes, deployment frequency, change failure rate, MTTR) to surface engineering bottlenecks and drive data-informed platform decisions with leadership.
• Mentored 10+ developers on CI/CD optimization, DevSecOps, and GenAI-assisted development practices — improving team autonomy, reducing escalations, and embedding a DevOps / Platform Engineering culture.

Research Analyst Intern at Wiculty Learning Solutions (2021-04 – 2021-09)

• Worked across multiple cloud platforms, including Azure and AWS, gaining hands-on exposure to core infrastructure services.
• Built and used tools to monitor applications and services running in the cloud.
• Authored technical blogs and delivered presentations on AWS/Azure services for internal upskilling.
• Gained hands-on experience with IAM (users, groups, policies, roles), EC2, Elastic Load Balancer, S3, and AWS RDS.

B.Tech in Computer Science & Engineering – Lovely Professional University (2017 – 2021)