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Principal Software Engineer - Backend100 Salesforce, Inc. • Redwood City, California, United States
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Principal Software Engineer - Backend

100 Salesforce, Inc.
  • US
    Redwood City, California, United States
  • US
    Redwood City, California, United States
Postuler Maintenant

À propos

The Informatica IDMC team—an integral part of Salesforce—builds an AI‑native data integration platform that uses Generative AI, LLMs, and Agentic architectures to automate and reinvent customer data workflows. This principal‑level engineering role owns the technical direction for one or more teams, shaping the patterns that thousands of enterprise customers rely on to run their businesses. Responsibilities AI & LLM Proficiency Experience with Generative AI, LLMs, and AI‑assisted development tools (e.g., Claude Code, Cursor). Interest in applying AI to automate data integration workflows.
Technical Leadership & Architecture 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.
Quality Delivery & Ownership Embrace full accountability for your team's technical deliveries from code to production, including multi‑phase 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.
Backend Engineering at Scale 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.
Agile Execution Lead Agile processes end‑to‑end—planning, execution, retrospectives. Own the successful execution of the team's release plan. Propose medium‑term plans, provide estimates, identify risks, and ensure the team delivers on commitments.
Multiplier Leadership 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' work.
Communication & Customer Focus 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.
Required Skills & 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. Expert‑level Java with deep understanding of OOP, concurrency, performance tuning, and production‑grade code under high load. Extensive experience with Spring Boot/Spring Cloud—service discovery, event‑driven architecture, API gateway patterns, and RESTful API design at enterprise scale. Strong experience with AWS, Azure, or GCP—cloud security (IAM, encryption, key management), networking (VPCs, load balancers, service mesh, DNS, WAF), and infrastructure automation. Production experience with Docker and Kubernetes for orchestration and scaling. Familiarity with Istio, Helm, and deployment tooling (Jenkins, Harness). Proven experience designing distributed systems—fault tolerance, consistency patterns, and message‑driven architectures (Kafka or similar). Expertise in RDBMS including advanced SQL, query optimization, and transaction management. Experience with NoSQL databases (Cassandra, MongoDB). Deep expertise in designing for availability, scalability, security, and observability; experience defining SLIs/SLOs and designing rollout strategies. Proven ability to lead one or more teams, set technical direction, mentor engineers, and present to VP‑level audiences. Excellent written and verbal communication skills—able to produce architectural documentation, synthesize cross‑org guidance, and drive alignment across distributed teams. Preferred Skills (Good to Have) Hands‑on experience with Apache Spark, Flink, or similar frameworks. Experience with open table formats (Iceberg, Delta Lake) or large‑scale pipeline patterns. Experience with ETL/ELT platforms, data quality, or metadata management. Familiarity with Salesforce products or multi‑tenant SaaS platform integration. Accommodations If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form. Benefits and Compensation Salesforce offers a variety of benefits to help you live well, including time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. Base salary range for this role: $197,300 – $313,700 annually (or $237,700 – $344,700 for select cities in the San Francisco and New York City metropolitan areas). The range represents base salary only and does not include bonus, equity, or other benefits. Equal Opportunity Statement Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We consider all employees or potential employees on the basis of merit, competence, and qualifications—without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, marital status, or any other classification protected by law. This policy applies to recruiting, hiring, compensation, promotion, benefits, training, and all employment practices.
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  • Redwood City, California, United States

Compétences linguistiques

  • English
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