Principal Fullstack Engineer; PMTS

Requirements

• Experience with Generative AI, LLMs, and AI‑assisted development tools (Claude Code, Cursor). Interest in applying AI to automate data integration workflows
• 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 management), networking (VPCs, load balancers, service mesh, DNS, WAF), and infrastructure automation
• Containerization & Kubernetes:
  Production experience with Docker and Kubernetes for orchestration and scaling. Familiarity with Istio, Helm, and deployment tooling (Jenkins, Harness)
• Distributed Systems Expertise:
  Proven experience designing distributed systems—fault tolerance, consistency patterns, and message‑driven architectures (Kafka or similar)
• Data Persistence:
  Expert RDBMS knowledge including advanced SQL, query optimization, and transaction management.
  
  Experience with No
  
  SQL databases (Cassandra, MongoDB)
• Non‑Functional Requirements:
  Deep expertise in designing for availability, scalability, security, and observability. Experience defining SLIs/SLOs and designing rollout strategies
• Technical Leadership:
  Proven ability to lead one or more teams, set technical direction, mentor engineers, and present to VP‑level audiences
• Communication:
  Excellent written and verbal skills—able to produce architectural documentation, synthesize cross‑org guidance, and drive alignment across distributed teams
• Distributed Processing:
  Hands‑on experience with Apache Spark, Flink, or similar frameworks
• (Desirable) Data Lakehouse:
  Experience with open table formats (Iceberg, Delta Lake) or large‑scale pipeline patterns
• (Desirable) Data Integration Domain:
  Experience with ETL/ELT platforms, data quality, or metadata management
• (Desirable) Salesforce/SaaS Ecosystem:
  Familiarity with Salesforce products or multi‑tenant SaaS platform integration

• Are you a seasoned engineer who wants to reshape how the world's largest enterprises harness their data? 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.
• 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…