Software Engineer (Backend) - MTS

About the role

Join the Informatica IDMC team, a strategic pillar of Salesforce. We are pioneering the next generation of Agentic data integration, Data Foundation architecture—a mission-critical platform that processes petabytes of data for the world’s largest enterprises. This is a core backend engineering role with full end-to-end ownership to create the context for Data Platform.

Responsibilities

• End-to-End Feature Ownership: Drive the design, development, testing, and deployment of well-scoped features within IDMC's Data Integration /Data Foundation platform. Take full ownership of your work from initial requirement through to production deployment, monitoring, and operational health.
• Backend Engineering & Quality Champion: Develop and maintain reliable, high-performance code within a cloud-native microservices architecture. Champion code quality and maintainability by writing clean, well-tested, and peer-review ready code.
• Data Integration Work: Understanding of data patterns of structured and unstructured and read and write from any systems through APIs, drivers, SDKs with high performance. Contribute to building data pipelines, APIs, and integration workflows that move and transform data across cloud environments.
• Testing Discipline: Implement robust automated unit, integration, and regression tests as a first-class part of your development workflow. Actively contribute to high-quality standards by rigorously testing your own features and providing constructive feedback through code reviews.
• DevOps & Operational Excellence: Actively engage in CI/CD pipelines, code reviews, and Agile processes. Apply best practices for deployment, monitoring, and effective incident response to maintain system reliability.
• Collaborative Engineering: 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.
• Technical Specialization & Growth: 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 (e.g., data movement, service performance, AI-assisted development).

Requirements

• 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.
• 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.
• 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.
• 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.
• Containerization & Orchestration: Practical experience with Docker and basic familiarity with Kubernetes for service deployment and scaling.
• Distributed Systems Exposure: Exposure to distributed processing technologies like Apache Spark or Kafka. Understanding of distributed systems fundamentals and data movement at scale.
• 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.
• DevOps Tooling & CI/CD: Hands-on proficiency with source control (Git), modern CI/CD pipelines, and familiarity with Agile/Scrum methodologies.
• Problem Solving: Strong analytical thinking, attention to detail, and genuine curiosity when debugging or designing complex solutions.
• Communication: Clear written and verbal communication — able to articulate technical decisions, ask sharp questions, and collaborate effectively across a distributed team.

Qualifications

• 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.
• 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.

Skills

• Java (or a similar JVM language)
• Object-oriented design
• Concurrent programming
• Writing performance-critical, production-grade code
• Cloud-native architecture
• Microservices architecture
• Service discovery
• Message queue or event-driven patterns
• At least one major cloud platform (AWS, Azure, or GCP)
• RDBMS concepts
• Advanced SQL writing
• Query optimization
• Transaction management
• NoSQL databases (e.g., Cassandra, MongoDB)
• Containerization (Docker)
• Orchestration (Kubernetes)
• Distributed processing technologies (Apache Spark or Kafka)
• Agile/Scrum methodologies
• CI/CD pipelines
• Generative AI and LLMs
• AI-assisted development tools (Claude Code, Cursor, or similar)
• Data Lake concepts
• Open table formats (Iceberg, Delta Lake)
• Data pipeline patterns
• Data integration
• Data quality
• Metadata management
• Experience with Salesforce products or integrating SaaS platforms

Benefits

At Salesforce, we offer 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. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

Pay

The typical base salary range for this position is $117,200 - $176,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $194,200 annually.

Schedule

Not specified.