Software Engineering MTS/SMTS (Java + Spark + AI/ML) Bangalore

Salesforce is hiring a Software Engineering MTS/SMTS (Java + Spark + AI/ML) Bangalore in India - Bangalore.

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

Responsibilities

• Learn and adapt to Salesforce security strategies, security goals, security objectives and security capabilities to improve security posture.
• Lead the design and architecture of a highly scalable and secure data platform that ingests and processes diverse security data sources across 10+ Salesforce platforms and 15+ external environments.
• Build and optimize data pipelines to collect, store, and analyze security signals from tools and platforms (e.g. vulnerability scanners, asset management systems, identity and access control systems) running on multiple environments (AWS,

GCP, Salesforce, CRM, vendor systems, etc.).

• Design and integrate AI/ML and LLM-driven capabilities into the platform — including RAG over security data, agentic triage/remediation workflows, anomaly detection, and risk scoring — with strong attention to evals, guardrails, and

cost/latency tradeoffs.

• Work closely with cross-functional teams (e.g., Engineering, Security Operations, Risk Management, Product Security and Data Science) to align the data platform with business and security goals.
• Operate in an Agile development environment, including participating in daily scrums.
• Support the team's engineering excellence by performing code reviews and mentoring senior team members.
• Provide technical leadership to a team of engineers, driving best practices in software development, security, AI-assisted development, and cloud-native architecture. Mentor junior and mid-level engineers, fostering a culture of continuous

learning, innovation, and excellence.

• Champion effective use of AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) across the team — establishing patterns for agent-driven workflows, code review, and productivity while maintaining code quality and security.
• Own and deliver initiatives adding new features to meet ever growing product demands.
• Adapt to change quickly and eagerly: changing requirements, changing priorities, changing strategies.
• Advocate security and secure practices throughout Salesforce, including secure AI/agent design (prompt injection defenses, least-privilege tool access, data handling for LLM contexts).

Requirements

• Distributed systems and data engineering: Expertise in designing, implementing and operating high-scale distributed systems architectures and concepts, including the following:
• High-performance, high-availability (99.99%), and highly fault-tolerant systems
• Large scale infrastructure systems
• Docker-based development, especially experience using EKS
• Configuration management systems, including Infrastructure-as-Code (IAC), Terraform, Puppet
• Data Tech: Apache Spark & Kafka, Hadoop, SQL/NoSQL
• Programming: Proficiency in object-oriented and multi-threaded programming in at least one of the following languages: Python, Golang, Java/Scala
• Software design: Demonstrated expertise in applying systems patterns (e.g., Client-server, N-tier, Primary/secondary, MVC) and API constructions (e.g., Swagger, OpenAPI)
• Operating systems: Development and software management on Linux (e.g., CentOS or RHEL)
• Security: Strong fundamentals knowledge in security concepts: authentication/authorization frameworks (e.g., SSO, SAML, OAuth, etc), secure transport (e.g., TLS), identity management (e.g., certificates, PKI)
• Applied AI/ML: Hands-on experience integrating LLMs or ML models into production systems — including at least two of: RAG pipelines, agent/tool-use frameworks (e.g., MCP, LangGraph), prompt engineering, evals/observability for LLM apps,

fine-tuning, or embeddings/vector stores.

• AI-assisted engineering: Demonstrated fluency with agentic coding tools (Claude Code, Cursor, Copilot, or equivalent) as a daily driver — able to guide the team on effective and safe usage patterns.
• Communication: Excellent oral and written communication skills
• Ability to manage multiple projects simultaneously, meet deadlines, and adapt to shifting priorities
• Team: Ability to value team success beyond personal contributions

Preferred qualifications

• Experience applying AI/ML to security use cases — e.g., anomaly detection, alert triage, vulnerability prioritization, or SOC automation.
• Experience with MCP (Model Context Protocol), tool-use frameworks, or building agentic workflows on top of security data.
• Familiarity with LLM cost/latency optimization, guardrails, prompt-injection defense, and evaluation frameworks.
• Experience with vector databases and embedding-based retrieval over structured/unstructured security data.

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 d

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