Applied AI / Automation DevOps Engineer (AWS) — Amgen · Hyderabad

Cloud Soft Solutions; Hyderabad; Hybrid; INR 2,200,000 - 3,800,000; Full time

Job summary

Amgen Hyderabad hub seeks an automation-focused engineer to build Python-based workflows on AWS, with emphasis on ML pipelines and regulated software practices.

You will own end-to-end CI/CD, infrastructure, and validation artefacts, ensuring audit readiness and compliance across the platform. Hybrid work in Hyderabad, competitive salary bands, and career growth opportunities.

Qualifications

• 4-9 years total experience with 3+ years building production automation in Python on AWS.
• Hands-on with AWS services and toolchains for scalable CI/CD pipelines.

Responsibilities

• Design and own CI/CD pipelines (GitHub Actions + Jenkins) for model containers and AWS infra.
• Maintain GxP-compliant Terraform modules and validated environments for audit readiness.
• Automate model retraining, data pipelines, and regulatory artefacts with CSV considerations.
• Collaborate with QA and Regulatory teams to deliver change logs and validation artefacts.
• Lead automation initiatives and mentor junior engineers in AWS and Python.

Skills

Python

AWS

CI/CD

GxP

Education

Bachelor's or higher in CS/Engineering

Tools

SageMaker

Snowflake

Databricks

Step Functions

Lambda

Terraform

GitHub Actions

Jenkins

Job description

Build automation and DevOps pipelines for Amgen's Applied AI platform — Python-led automation, AWS infrastructure-as-code, CI/CD for ML models, with full GxP / Computer System Validation rigor. 4-9 years, hybrid Hyderabad, INR 22-38 LPA band.

The role is permanent / full-time, hybrid, and the salary band reflects market rates in Hyderabad as of mid-2026. If you are seeking a multi-year career platform rather than a stop-gap, this listing rewards depth — read the responsibilities and requirements below carefully and tailor your application to the specifics.

Responsibilities

Build the automation backbone for Amgen's Applied AI platform: Python-based orchestration that ties together SageMaker training jobs, Snowflake / Databricks feature pipelines, REST APIs published by data-product teams, and the regulated audit trail required by Computer System Validation (CSV).Design and own CI/CD pipelines (GitHub Actions plus Jenkins for legacy components) that build, test, scan and deploy model containers and the supporting infrastructure into AWS — with traceability records that survive an FDA inspection.Maintain Amgen's GxP-compliant Terraform module library — VPC, IAM, EKS, S3, KMS, RDS Aurora and SageMaker — so that any team can spin up a validated environment from a single backstage template.Automate operational workflows: model retraining triggers based on data drift, scheduled regulatory report generation via Step Functions, and Ansible-driven configuration management for the few remaining EC2-hosted services.Operate observability through Splunk for security audit trails, CloudWatch + Prometheus for application metrics, and PagerDuty for on‑call. Tune alerting so that GxP-impacting incidents are escalated within minutes, while non‑impacting noise is suppressed.Partner with the Quality Assurance and Regulatory Affairs teams to deliver pipeline change-records, IQ / OQ / PQ artefacts, and periodic‑review documentation. Treat the documentation pipeline as code, generated automatically wherever possible.Lead at least one major automation initiative per year — for example, replacing manual deployment runbooks with self‑service backstage actions, or migrating a legacy Jenkins farm onto GitHub Actions self-hosted runners.Mentor analysts and graduate engineers joining the platform team, run brown‑bag sessions on AWS and Python best practices, and represent the Hyderabad hub in global architecture‑review boards.

Requirements

4-9 years total experience with 3+ years building production automation in Python on AWS.Hands‑on with at least two of: SageMaker, Snowflake, Databricks, Step Functions, Lambda. Deep familiarity with the rest of the AWS catalogue (S3, IAM, KMS, EKS, RDS, CloudWatch).Proven CI/CD ownership using GitHub Actions and / or Jenkins, including reusable workflows, secret management, and self-hosted runner farms.Strong Terraform skills: writing modules, managing remote state per environment, and reviewing other engineers' plans for cost and security implications.Working understanding of GxP / Computer System Validation, FDA 21 CFR Part 11, GAMP-5 categorisation, or comparable regulated-software frameworks.Excellent written communication — you will produce change-records and validation artefacts that go to auditors and regulators.Bachelor's or higher in Computer Science, Engineering, or a numerate science. AWS or HashiCorp certifications a plus.

Why this role in 2026

Amgen's Hyderabad capability centre is one of the company's three global engineering hubs and houses the Applied AI platform team that powers clinical and manufacturing decisions worth hundreds of millions of dollars. The role is rare — a true Python + AWS + MLOps + regulated-software combination — and the people who own it tend to leverage it into senior platform‑engineering or pharma‑tech leadership positions within 4-6 years.

Company & benefits

INR 22-38 LPA fixed plus 12-18% target bonus. Amgen restricted stock unit grants for senior individual contributors. Comprehensive private medical for self + family + parents. Hybrid 3:2 schedule. 24-30 days annual leave. Sponsored certifications. On-site wellness facilities, mental‑health support and a generous parental‑leave policy.