- Professional
- Escritório em Bengaluru
At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.
We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways.
Are you curious about being part of our growth story while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.
Full-Stack Automation Developer — GCP & Workflow Engineering (P2)
Location: Bengaluru, India (Hybrid)
Function: Global Business Services (GBS) – Process Excellence, Automation & Analytics
Reporting to: Director – Process Excellence & Intelligent Automation
Role Summary
As a P2 Full-Stack Automation Developer, you’ll build the workflows, services, and UI layers that automate manual operations across Iron Mountain’s enterprise platforms—integrating SafeKeeper Plus (SKP), Oracle Financials, Salesforce, ServiceNow, and other SQL Server systems with GCP/BigQuery. You’ll implement APIs, serverless flows, and targeted RPA where needed, while gaining hands-on exposure to agentic AI with VertexCI/Vertex AI and Gemini.
What You’ll Do
Build & Ship
Develop React/Angular front-ends and Node.js/TypeScript or Python back-ends; implement RESTful APIs and secure service-to-service auth.
Orchestrate workflows using Cloud Workflows, Cloud Functions, Pub/Sub, Cloud Scheduler, and Secret Manager.
Implement targeted UiPath/Automation Anywhere bots for UI-only gaps, with strong exception handling and logging.
Automate data pipelines to BigQuery for KPI dashboards; write efficient SQL; contribute to Looker/Tableau consumption layers.
Integrate & Automate
Build connectors/integrations for Salesforce, ServiceNow, Oracle Financials, SKP using APIs, webhooks, MuleSoft/Apigee gateways.
Add observability (Cloud Logging/Monitoring), basic SLO alerts, and resilient retry/idempotency patterns.
Quality & Collaboration
Write tests (Jest/pytest), follow code standards, participate in reviews, and ship via CI/CD.
Work in Agile sprints; break down stories, estimate realistically, and demo working software to stakeholders.
Learn & Evolve (Agentic AI)
Collaborate with AI engineers to wire VertexCI/Vertex AI + Gemini into flows (prompt templates, function calling, guardrails).
Contribute to RAG patterns with BigQuery and begin building small autonomous routines under guidance.
Required Experience & Skills
3–6 years total experience; 2+ years in full-stack or workflow automation on cloud.
Proficient in Node.js/TypeScript or Python, React/Angular, RESTful APIs, SQL.
Hands-on with GCP serverless (Cloud Run or Cloud Functions), Pub/Sub, IAM, Secret Manager, Cloud Logging/Monitoring.
Exposure to UiPath or Automation Anywhere (building/maintaining basic bots).
Experience integrating at least one of: Salesforce, ServiceNow, Oracle Financials, SKP.
Nice to Have
Familiarity with MuleSoft/Apigee, Looker, Cloud Composer/Airflow, Docker, Cloud Build/GitHub Actions/GitLab CI.
Early exposure to VertexCI/Vertex AI, Gemini, prompt patterns, or tool/function calling.
How You Work
Curious problem-solver; comfortable reading API docs, tracing logs, and improving reliability.
Pragmatic engineer who values clean code, tests, and automation over manual fixes.
Strong collaborator; communicates clearly with product/process owners.
What Success Looks Like in 12 Months
8–12 production automations/apps shipped with on-time delivery in sprints and post-go-live stability >99%.
20–25% reduction in manual effort for assigned processes; documented in hours saved / error rate improvements.
Reusable code packages published (connectors, SDKs, UI components) adopted by peers in at least 3+ projects.
Operational readiness: dashboards/alerts in place; average incident MTTR <60 mins for owned services.
Contributed to at least 1 agentic AI workflow using VertexCI/Vertex AI + Gemini (prompted calls or evaluator-guarded actions).
Code quality: test coverage >60% on services you own; zero critical security issues in code scans.
