Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
DevOps lead and client-facing specialist in Amgen's Commercial Data and Analytics team in Hyderabad. They drive roadmaps and delivery of cloud data platforms (AWS/Azure/GCP, Databricks), automate DevOps under SAFe, manage product owners, and enable AI/ML analytics capabilities.
Senior QA automation engineer at Amgen's Hyderabad technology center who designs and runs scalable automated tests for Veeva/Salesforce CRM, mobile/iPad apps, APIs, integrations, and data pipelines using Selenium, Playwright, PyTest, Python/PySpark, CI/CD integration, and AI-assisted testing to raise coverage and cut manual regression.
Senior finance-technology role at Amgen supporting the Operations Finance team: leads implementation, integration, and optimization of finance systems (SAP, Hyperion, Tableau, Smartsheet, Anaplan), automates reporting and planning, and ensures data governance and compliance, with preferred exposure to cloud, SQL/Python, RPA, and AI in finance.
Amgen's internal Digital, Technology & Innovation team in Hyderabad seeks a Specialist SAP Architect to design, configure, and implement SAP S/4HANA solutions focused on end-to-end Record to Report (RTR) finance processes, leading the migration from SAP ECC to S/4HANA with deep FI/CO, tax, and intercompany integration work.
Entry-level (Associate L3) analytics role in Amgen's Marketing Investment Optimization team in Hyderabad. The person builds statistical and marketing-mix models, writes custom analyses in SQL, Python/R and Excel, and helps turn marketing investment data into business recommendations under senior guidance.
Senior Software Engineer at Amgen's Hyderabad team designing, building, and deploying full-stack cloud applications (AWS, Python, JavaScript) and developing generative AI solutions with LLMs, RAG, and agent frameworks, while mentoring junior developers and owning projects from conception to deployment.
Designs, builds, and maintains moderately complex data systems, streaming and batch pipelines, and cloud-based data infrastructure (lakes, warehouses) that make large datasets accessible for analysis and reporting. Core stack includes Python/Java/Scala, SQL, Spark, Kafka, dbt/Airflow, and CI/CD practices.
Full-stack engineer on Amgen's Applied AI (AI Studio) team in Hyderabad, owning an AI-enabled product end to end — frontend, APIs, distributed services, data — integrating ML/GenAI like RAG and bounded agents into production. Built with JavaScript/TypeScript, Python/Java/C#/Node.js and SQL, with cloud, CI/CD and regulated (GxP) delivery.
Full-stack engineer on Amgen's Operations Generative AI product team in Hyderabad, building and maintaining GenAI web applications for pharma process development functions. Day-to-day work spans React/Angular front ends, Python/Java/Node.js back ends, and AWS with LLM, RAG, and LangChain/LlamaIndex tooling.
Supports and develops Amgen's Veeva Vault platform in Hyderabad: running daily operations, configuring and building custom solutions (reports, SDKs, integrations), automating ops, and validating changes under GxP. Core stack is Veeva Vault with Python/JavaScript, Git, and Agile practices.
Senior Business Analyst on Amgen's Clinical Data Foundation team in Hyderabad: translates clinical-data product needs into epics, user stories, acceptance criteria, and process maps for agile dev teams, mostly in JIRA/Scrum. Requires life sciences background; cloud (AWS/Azure/GCP), Databricks, and SAFe exposure preferred. Evening or night shifts may be required.
Builds and maintains scalable ETL data pipelines, primarily in Informatica with a planned migration to Databricks (Spark/Delta Lake), supporting Amgen's OUS Field Engagement team across the JAPAC and ELMAC regions. Day-to-day involves pipeline development, data quality/governance, production support, and working in a SAFe/Agile team.
UX designer on Amgen's internal design-systems team: builds and evolves scalable, accessible UI components in Figma, manages brand onboarding, roadmaps, and governance, and partners with engineering on AEM to keep designs consistent across Amgen's multi-brand digital ecosystem.
Onsite Technical Pre-Sales Architect in Mumbai who designs data management, cloud, and AI solutions for enterprise clients (BFSI, manufacturing, retail). Day to day: leading RFP/RFI responses, discovery sessions, demos and POCs, and partnering with IBM, Microsoft, Informatica, Snowflake, and Databricks. Requires 15+ years in data/cloud/AI solution architecture.
DevOps engineer on Amgen's Commercialization Technology team in Hyderabad, building and securing the platforms behind portfolio decision intelligence. Day-to-day spans CI/CD pipeline automation, AWS infrastructure, Docker/Kubernetes deployments, infrastructure-as-code, DevSecOps controls, observability, and production troubleshooting.
Designs, integrates, and administers cloud-based high-performance computing (HPC) systems at Amgen, supporting data-science workloads like AI/ML and image analysis. Day to day: Linux cluster administration, CI/CD for multi-cloud deployments, and cost/security optimization. Core stack: AWS, Linux, SLURM, Terraform, Docker/Singularity.
Executes and scales Agentic AI solutions for Amgen's global commercial and analytics functions: prototyping, prompt engineering, building and deploying LLM-powered agents, and testing/monitoring them, while coordinating across data science, engineering, and business teams. Core stack: GenAI/LLMs, Python, SQL, cloud data environments.
Software engineer on Amgen's internal IT team in Hyderabad, building automation and cloud apps for a global VDI platform serving 13,000+ desktops. Day-to-day: C#/.NET 8-10 development, Azure Functions, Logic Apps, Cosmos DB, Graph API integrations, CI/CD via Azure DevOps, working a 2:00-10:00 PM IST second shift.
Data engineer (Reltio MDM developer) at Amgen's Hyderabad technology center, designing and operating Master Data Management solutions on the Reltio platform for Pharma/Life Sciences data — building lifecycle actions, match/merge rules, and Python/Databricks integrations. Requires 5-9 years' experience.
Senior Machine Learning Engineer in Amgen's AI Studio (Applied AI) team in Hyderabad, owning AI assets end-to-end — from problem framing and architecture through hands-on model development, MLOps/LLMOps, launch and support. Core stack: Python, SQL, classical ML/deep learning/NLP, GenAI, RAG and agents on cloud data platforms like Spark, Databricks and Kubernetes.
We couldn't check your fit for this role — add a CV to your profile to see it next time.