Software Engineer (Backend) - MTS

Role Overview 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. We are pioneering the next generation of Agentic data integration and Data Foundation architecture—a mission‑critical platform that processes petabytes of data for the world's largest enterprises. This core backend engineering role gives you full end‑to‑end ownership to create the foundation of the Data Platform. You will contribute production‑grade code immediately, operating high‑throughput, highly available services that form the foundation of our data cloud. 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. We are seeking high‑potential engineers eager to accelerate their careers within a culture that champions technical excellence, operational rigor, and rapid professional development. 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: Understand data patterns of structured and unstructured data and read and write from any systems through APIs, drivers, and SDKs with high performance. 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 over time. 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: 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). Required Skills & Experience 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 such as 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. Preferred Skills (Good to Have) AI & LLM Proficiency: Knowledge of Generative AI and LLMs, with the ability to apply these technologies to create intelligent, automated solutions, and familiarity with AI‑assisted development tools (Claude Code, Cursor, or similar). Data Lakehouse: Awareness of Data Lake concepts, open table formats (Iceberg, Delta Lake), or data pipeline patterns. Data Domain Awareness: Any exposure to data integration, data quality, or metadata management concepts—even through coursework or side projects. Salesforce or SaaS Ecosystem: Familiarity with Salesforce products or experience integrating SaaS platforms is a bonus. Benefits Time off programs Medical, dental, and vision coverage Mental health support Paid parental leave Life and disability insurance 401(k) retirement plan Employee Stock Purchase Program The typical base salary range for this position is $117,200 – $176,700 annually. In San Francisco and New York City metropolitan areas, the range is $141,200 – $194,200 annually. Equal Opportunity Statement Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We believe in equality for all and create a workplace that is inclusive and free from discrimination. All employees or potential employees will be assessed on the basis of merit, competence and qualifications—without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruitment, hiring, and promotion decisions are fair and based on merit. #J-18808-Ljbffr salesforce.com, inc.