Senior Software Engineer (Backend) - SMTS

100 Salesforce, Inc.; Redwood City (CA); On-site; USD 149,000 - 224,000; Full time

Job summary

Salesforce’s Informatica IDMC team in Redwood City is seeking a backend engineer to own end-to-end features for a data integration platform. You’ll write production-grade Java services within a cloud-native microservices setup, contributing to data pipelines and APIs that move data across cloud environments.

You will implement robust tests, participate in CI/CD, and collaborate with senior engineers and product managers to deliver scalable, reliable systems at scale.

Qualifications

• 2–4 years of full-time software development experience in cloud-native backend services.
• Deep hands-on experience with Java (or similar JVM language) and OO design.
• Experience designing, building, and operating scalable RESTful APIs in a cloud environment.

Responsibilities

• Own end-to-end feature development from design to production deployment.
• Develop and maintain backend services in Java within a cloud-native microservices architecture.
• Contribute to data pipelines, APIs, and integration workflows across cloud environments.
• Write automated unit, integration, and regression tests (JUnit/TestNG).
• Participate in CI/CD, code reviews, and Agile processes to improve reliability.
• Collaborate with senior engineers, PMs, and LMTS to meet platform goals.

Skills

Java

Cloud-native architecture

RESTful APIs

Docker

Kubernetes

Testing (JUnit/TestNG)

CI/CD

Distributed systems

Databases (RDBMS/NoSQL)

Git

Tools

Kafka

Apache Spark

Git

Job description

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 Serverless 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. 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 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 backend services in Java within a cloud-native microservices architecture. Champion code quality and maintainability by writing clean, well-tested, and peer-review ready code.
• Data Integration Work: Contribute to building data pipelines, APIs, and integration workflows that move and transform data across cloud environments. Learn the fundamentals of large‑scale data movement and develop expertise in this space 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: 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).

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 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.
• 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.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

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In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits.

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.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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