Principal Software Engineer - Backend

About the Role

The Informatica IDMC team—a strategic pillar of Salesforce—is building what comes next: an AI-native data integration platform where Generative AI, LLMs, and Agentic architectures don't just assist workflows—they fundamentally reinvent them. We're talking petabyte-scale data movement that thinks, adapts, and self-optimizes. This is a principal-level engineering role where you'll own the technical direction for one or more teams, making architectural bets at the frontier of data integration and AI.

You won't just design systems—you'll define the patterns that thousands of enterprise customers depend on to run their businesses. We need a high‑performing hybrid engineer who leads from the front: shipping production‑grade code that powers intelligent data pipelines one day, and elevating an entire team's craft through architectural vision and mentorship the next. If you want to work at the intersection of massive‑scale distributed systems and cutting‑edge AI—where your decisions directly shape a platform processing more data than most engineers will see in a career—this is the role.

• Experience with Generative AI, LLMs, and AI‑assisted development tools (Claude Code, Cursor). Interest in applying AI to automate data integration workflows.

• Act as the Technical Leader for one or more teams, serving as the go‑to technical authority for cross‑team plans and problems.
• Write architectural documents and design specifications for multi‑team projects; negotiate interfaces and resolve cross‑team technical issues.
• Drive system design for resiliency, reliability, scalability, and efficiency—applying telemetry and observability early in development.

• Embrace full accountability for your team's technical deliveries from code to production, including multiphase rollouts (pre‑release, canary, stagger).
• Create and approve test strategies with emphasis on non‑functional requirements—performance, scalability, security, and fault tolerance.
• Define SLIs/SLOs and drive operational excellence for your team's features and services.

• Design and build high‑performance, fault‑tolerant backend services in Java within a cloud‑native microservices architecture.
• Architect data pipelines and integration workflows that move and transform data across cloud environments at petabyte scale.
• Drive platform evolution toward AI‑native, Agentic, and Headless patterns.

• Lead Agile processes end‑to‑end—planning, execution, retrospectives. Own the successful execution of the team's release plan.
• Propose medium‑term plans (2RR), provide estimates, identify risks, and ensure the team delivers on commitments.

• Coach LMTS engineers and peer teams through design reviews and mentorship. Set clear Definition of Done expectations.
• Lead service ownership practices—on‑call rotations, readiness reviews, runbooks, and automation that promote team health.
• Seek and integrate feedback on your designs; provide constructive feedback on others'.

• Explain architectures and initiatives clearly to VP‑level audiences, Product Owners, and cross‑functional partners.
• Engage with customers to understand real‑world problems; champion Customer Trust in every feature your team builds.
• Synthesize external guidance (architecture standards, best practices) and translate it into actionable direction for your teams.

• Professional
  
  Experience:
  
  15+ years of full‑time software development in a product or enterprise environment, with a demonstrated track record of technical leadership and delivering high‑quality features at scale.
• Core Java & Backend Mastery:
  Expert‑level Java with deep understanding of OOP, concurrency, performance tuning, and production‑grade code under high load.
• Microservices & Spring:
  Extensive experience with Spring Boot/Spring Cloud—service discovery, event‑driven architecture, API gateway patterns, and RESTful API design at enterprise scale.
• Cloud Platform Proficiency:
  Strong experience with AWS, Azure, or GCP—cloud security (IAM, encryption, key…