Software Engineer (Backend) - MTS

SalesforceRedwood City, CA
Hybrid

About The Position

Salesforce is seeking high-potential engineers eager to accelerate their careers within a culture that champions technical excellence, operational rigor, and rapid professional development. Join the Informatica IDMC team, a strategic pillar of Salesforce, pioneering the next generation of Agentic data integration and Serverless architecture. This is a core backend engineering role with full end-to-end ownership, contributing production-grade code immediately to a mission-critical platform that processes petabytes of data for the world’s largest enterprises. You will be a builder, a learner, and a contributor to a platform that handles data at a scale most engineers never get to touch.

Requirements

  • 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.
  • Deep hands-on experience with Java (or a similar JVM language), with a strong understanding of object-oriented design, concurrent programming, and writing performance-critical, production-grade code.
  • Proven experience designing, building, and operating scalable, high-throughput RESTful APIs within a cloud environment, with a 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.
  • Expert knowledge of RDBMS concepts, including advanced SQL writing, query optimization, and transaction management.
  • Practical experience with Docker and basic familiarity with Kubernetes for service deployment and scaling.
  • Exposure to distributed processing technologies like Apache Spark or Kafka, and an understanding of distributed systems fundamentals and data movement at scale.
  • Experience implementing robust automated tests (unit, integration, and contract tests) using frameworks like JUnit or TestNG, with a strong commitment to quality, security, and maintainability.
  • Hands-on proficiency with source control (Git), modern CI/CD pipelines, and familiarity with Agile/Scrum methodologies.
  • Strong analytical thinking, attention to detail, and genuine curiosity when debugging or designing complex solutions.
  • Clear written and verbal communication skills, able to articulate technical decisions, ask sharp questions, and collaborate effectively across a distributed team.

Nice To Haves

  • 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.
  • Awareness of Data Lake concepts, open table formats (Iceberg, Delta Lake), or data pipeline patterns.
  • Any exposure to data integration, data quality, or metadata management concepts — even through coursework or side projects.
  • Familiarity with Salesforce products or experience integrating SaaS platforms is a bonus.

Responsibilities

  • Drive the design, development, testing, and deployment of well-scoped features within IDMC's Data Integration platform, taking full ownership from requirement to production deployment, monitoring, and operational health.
  • Develop and maintain reliable, high-performance backend services in Java within a cloud-native microservices architecture, championing code quality and maintainability through clean, well-tested, and peer-review ready code.
  • Contribute to building data pipelines, APIs, and integration workflows that move and transform data across cloud environments, learning the fundamentals of large-scale data movement.
  • Implement robust automated unit, integration, and regression tests as a first-class part of the development workflow, rigorously testing own features and providing constructive feedback through code reviews.
  • Actively engage in CI/CD pipelines, code reviews, and Agile processes, applying best practices for deployment, monitoring, and effective incident response to maintain system reliability.
  • Work closely with senior engineers, LMTS, and Product Managers to understand requirements, ask sharp questions, and deliver solutions that align with the broader platform architecture.
  • Invest in continuous technical growth by exploring new tools, participating in critical design discussions, and developing deep expertise in a specific area of the platform.

Benefits

  • time off programs
  • medical
  • dental
  • vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program
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