Salesforce Hyderabad Software Engineer Posts | Bachelor’s Degree/Master’s Degree | Apply Now

Salesforce is an American cloud-based software company, sells a complementary suite of enterprise applications focused on customer service, marketing automation, analytics, and application development.

In the latest job announcement, Salesforce announces job vacancies for Software Engineer posts, with work location in Hyderabad.

Under Salesforce Hyderabad Software Engineer 2026 Jobs, candidates having required skills in Java, Python, Go, or JavaScript, and TypeScript can apply.

The selected candidate will be recruited with a permanent and full-time job.

An Interested and qualified candidate has to apply through online mode.

Job Designation: Software Engineer.

Job Code: JR345413.

Education Qualification: Bachelor’s Degree/Master’s Degree.

Experience Level: 3 to 8 years.

Job Location: Hyderabad.

Apply Mode: Online.

Your Impact — You Will:

• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow — 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 life sciences human workflows — spanning clinical data, HCP engagement, patient services, and regulatory operations — 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
• Collaborate with Product, UX, and domain experts to translate complex regulatory and compliance requirements (HIPAA, 21 CFR Part 11, GxP) into scalable, production-ready software
• Participate across the full software development lifecycle — design, development, code review, testing, deployment, and monitoring
• Write automated unit, integration, and functional tests as a standard part of your engineering practice

At SMTS and above, you will additionally:

• Lead technical design and architecture decisions for significant features and systems on Life Sciences Cloud
• Mentor and uplevel engineers through meaningful code reviews, hands-on guidance, and technical coaching
• Drive service ownership — proactively monitor production systems and lead incident resolution

At LMTS, you will additionally:

• Define technical strategy and multi-quarter architecture roadmaps, influencing platform-wide decisions across the Life Sciences vertical
• Develop each engineer's ability to work effectively in an AI-augmented environment, coaching growth into higher-level system design and architecture work
• Own how AI tools are integrated into the team's daily development cycle — including configuration, feedback loops, and judgment calls about when human review is required
• Serve as the guardian of architectural integrity, security best practices, and technical standards as AI increases code volume — coaching engineers to critically audit AI-generated code for logic flaws, vulnerabilities, and performance issues
• Act as a technical partner to senior Product, Design, and domain leadership to translate strategic Life Sciences initiatives into engineering reality

Required Skills:

• 3+ years of software engineering experience (MTS: 3–5 yrs / SMTS: 5–8 yrs / LMTS: 8+ yrs) with a proven track record of shipping production-quality software
• Strong proficiency in one or more of Java, Python, Go, or JavaScript/TypeScript for scalable backend or full-stack development
• Deep understanding of data structures, algorithms, and software design principles
• Solid experience with RESTful API design, microservices architecture, and distributed systems
• Experience with relational and/or NoSQL databases, query optimization, and data modeling
• Familiarity with cloud infrastructure and deployment practices (AWS, GCP, or Azure)
• Experience with CI/CD pipelines, version control (Git), and modern DevOps practices
• A demonstrated, genuine AI-first approach to engineering — using AI tools to move faster, build fluency across the stack, and contribute well beyond your core specialty
• Hands-on experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor, Codex, etc.)
• Advanced prompt engineering skills — ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready

At LMTS, additionally required:

• Active, hands-on proficiency with AI development tools at full utilization — with the technical depth to evaluate architectural integrity and make informed decisions about AI-generated output
• Proven track record of influencing technical direction across multiple teams and driving org-level engineering decisions

Preferred Skills:

• Life sciences or healthcare domain knowledge — clinical trials, pharma commercial operations, medical devices, HL7/FHIR, HIPAA/GxP compliance
• Familiarity with regulated software environments — 21 CFR Part 11, Computer System Validation (CSV), CDISC, RTSM, or EDC systems
• Experience building AI/ML integrations or agentic solutions at production scale
• Salesforce platform familiarity — Apex, LWC, Agentforce (nice to have, not required)

How to apply:

Interested and qualified job applicants have to apply through online mode, by initially registering with Salesforce career portal and login in to apply.

Apply online:

https://careers.salesforce.com/en/jobs/jr345413/mtssmtslmts-software-engineer/

For more information about Salesforce vacancies, visit the Salesforce Recruitment page.