Senior Software Engineer (Backend) - SMTS
Salesforce8 days ago
Base Salary
$149k - $224k/yr
Responsibilities
- Design, develop, test, deploy, monitor, and maintain well-scoped features for the IDMC Data Integration platform.
- Build reliable, high-performance Java backend services in a cloud-native microservices architecture.
- Develop data pipelines, APIs, and integration workflows that move and transform data across cloud environments.
- Implement automated unit, integration, regression, and contract tests and contribute to code reviews.
- Participate in CI/CD, deployment, monitoring, incident response, and other operational reliability activities.
- Collaborate with senior engineers, LMTS, Product Managers, and distributed teammates on requirements and technical solutions.
- Develop deeper specialization in areas such as data movement, service performance, or AI-assisted development.
Requirements
- 2–4 years of full-time software development experience in a product or enterprise environment, preferably building cloud-native backend services.
- Deep hands-on experience with Java or a similar JVM language, object-oriented design, concurrent programming, and production-grade performance-critical code.
- Experience designing, building, and operating scalable high-throughput APIs in a cloud environment, with knowledge of microservices, service discovery, and event-driven or message-queue patterns.
- Familiarity with at least one major cloud platform: AWS, Azure, or GCP.
- Expertise in RDBMS concepts, advanced SQL, query optimization, and transaction management; experience with a NoSQL database such as Cassandra or MongoDB is preferred.
- Practical Docker experience and basic familiarity with Kubernetes for service deployment and scaling.
- Exposure to distributed processing technologies such as Apache Spark or Kafka and understanding of distributed systems fundamentals.
- Experience implementing automated tests with frameworks such as JUnit or TestNG.
- Hands-on proficiency with Git and modern CI/CD pipelines; familiarity with Agile/Scrum methodologies.
- Strong analytical, debugging, communication, collaboration, and problem-solving skills.
- Preferred qualifications include knowledge of generative AI and LLMs, AI-assisted development tools such as Claude Code or Cursor, data lake concepts, Iceberg or Delta Lake, data integration or metadata management, and Salesforce or SaaS integrations.
Benefits
- Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- The position may be eligible for incentive compensation, equity, and other benefits; the stated salary range is base salary only.
- Salesforce provides reasonable accommodations during the application and recruiting process and is an equal opportunity employer.
Tech Stack
Apache CassandraApache KafkaApache SparkAWSAzureDockerGitGoogle Cloud PlatformJavaJUnitKubernetesMongoDBSQLTestNG
Categories
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