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Software Engineer (Backend, MTS)
Salesforce · Redwood City, United States
About The Role
Join Informatica IDMC, a strategic pillar of Salesforce, as a Software Engineer (Backend, MTS). In this core backend engineering role, you will have full end-to-end ownership of feature development, contribute to building data pipelines and APIs, and engage in DevOps and operational excellence. You will work closely with senior engineers and product managers, invest in continuous technical growth, and enjoy a range of benefits including medical care, life insurance, retirement savings, and paid time off.
- Contribuer à la conception, au développement, aux tests et au déploiement de fonctionnalités bien définies au sein de la plateforme d'intégration de données d'IDMC.
- Développer et maintenir des services backend fiables et performants en Java au sein d'une architecture de microservices cloud-native.
- Participer activement aux pipelines CI/CD, aux revues de code et aux processus Agile, et appliquer les meilleures pratiques pour le déploiement, la surveillance et la réponse aux incidents.
- Are you an engineer who loves solving hard problems, shipping real products, and growing fast
- Join the Informatica IDMC team, a strategic pillar of Salesforce
- Problem Solving: Strong analytical thinking, attention to detail, and genuine curiosity when debugging or designing complex solutions
- Distributed Systems Exposure: Exposure to distributed processing technologies like Apache Spark or Kafka. Understanding of distributed systems fundamentals and data movement at scale
- Cloud-Native Architecture, APIs & Infrastructure: Proven experience designing, building, and operating scalable, high-throughput RESTful APIs within a cloud environment. Solid grasp of microservices architecture, service discovery, and message queue or event-driven patterns. Familiarity with at least one major cloud platform (AWS, Azure, or GCP) is essential
- Communication: Clear written and verbal communication — able to articulate technical decisions, ask sharp questions, and collaborate effectively across a distributed team
- Data Persistence & Query Optimization: Expert knowledge of RDBMS concepts, including advanced SQL writing, query optimization, and transaction management. Working experience with at least one NoSQL database (e.g., Cassandra, MongoDB) is preferred
- DevOps Tooling & CI/CD: Hands-on proficiency with source control (Git), modern CI/CD pipelines, and familiarity with Agile/Scrum methodologies
- Professional Experience: 2–4 years of full-time software development experience in a product or enterprise environment, preferably focused on building and maintaining cloud-native backend services
- Testing & Code Quality: Experience implementing robust automated tests (unit, integration, and contract tests) using frameworks like JUnit or TestNG. A strong commitment to quality, security, and maintainability
- Containerization & Orchestration: Practical experience with Docker and basic familiarity with Kubernetes for service deployment and scaling
- Core Java & Backend Mastery: Deep hands-on experience with Java (or a similar JVM language). Strong understanding of object-oriented design, concurrent programming, and writing performance-critical, production-grade code
- AI & LLM Proficiency: Knowledge of Generative AI and LLMs, with an ability to apply these technologies to create intelligent, automated solutions, along with familiarity with AI-assisted development tools (Claude Code, Cursor, or similar) and interest in how LLMs can be applied to automate engineering or data workflows
- Salesforce or SaaS Ecosystem: Familiarity with Salesforce products or experience integrating SaaS platforms is a bonus
- Data Domain Awareness: Any exposure to data integration, data quality, or metadata management concepts — even through coursework or side projects
- Data Lakehouse: Awareness of Data Lake concepts, open table formats (Iceberg, Delta Lake), or data pipeline patterns
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