Software Engineering LMTS - Hyderabad (Java + Spark + AI/ML) at Salesforce

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

18 Sep, 26

Salary

0.0

Posted On

20 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Apache Spark, AI/ML, Python, Prompt Engineering, Data Lake Architecture, RDBMS, Distributed Storage, CI/CD, Git, OOP Design, Multithreading, JVM Tuning, Automated Testing, System Design, Data Governance

Industry

Software Development

Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Role Overview As a LMTS on the Informatica IDMC (Intelligent Data Management Cloud) team — now part of Salesforce — you'll engineer the next generation of autonomous Data Governance and management solutions. This is a high-impact, hybrid engineering role with a full-stack backend mindset, combining Informatica's deep data expertise with Salesforce's ecosystem using Spark, modern Data Lake architectures, and Generative AI. Responsibilities Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance Drive the full SDLC: requirements, system design, automated testing, deployment, and performance tuning Provide architectural guidance and mentorship; lead code reviews, design sessions, and technical roadmaps for Data Governance features Design and implement high-performance backend services using Java/Python and Apache Spark for massive dataset processing within IDMC Build and optimize modern Data Lake solutions for seamless data movement and governance across cloud environments Architect complex data models and optimize queries across distributed storage systems Implement automated testing frameworks and CI/CD pipelines to ensure reliability of mission-critical governance workflows Partner with Product Management and Architects across Salesforce and Informatica for seamless IDMC service integration Required Skills & Experience A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty. Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. 10+ years of professional software development in an enterprise environment Strong proficiency in Java (Multithreading, JVM tuning) or Python; solid OOP design principles Hands-on experience with Apache Spark for large-scale data processing and transformation Deep understanding of RDBMS concepts and distributed storage systems Proven experience with Git, CI/CD pipelines, and Agile/Scrum methodologies Experience building automated test suites (JUnit, Selenium, or similar) Strong cross-team communication and problem-solving skills Preferred Skills Experience with Lakehouse patterns and open table formats, especially Apache Iceberg Graph Databases (e.g., Neo4j) and Elasticsearch for high-speed discovery Experience with LLMs, prompt engineering, and RAG agents for data classification or metadata discovery AWS, Azure, or GCP; containerization with Docker and Kubernetes Prior work in Data Cataloging, Data Quality, or Metadata Management Knowledge of Salesforce Data Cloud or third-party SaaS integrations M.S. in Computer Science or a related field Why Join Us? You'll be at the forefront of the Salesforce + Informatica integration — helping shape how the world's leading companies manage their most valuable asset: Data. Enjoy the agility of a focused product team backed by the scale and resources of Salesforce. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee 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. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place.

Responsibilities

Engineer autonomous Data Governance and management solutions by integrating AI agents into human workflows. Design and implement high-performance backend services using Java/Python and Apache Spark for massive dataset processing.