Salesforce Hyderabad Performance Engineer Posts | 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 Performance Engineer posts, with work location in Hyderabad.

Under Salesforce Hyderabad Performance Engineer 2026 Jobs, candidates having required skills in Python, Java, and C++  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: Performance Engineer.

Job Code: JR312773.

Education Qualification: Master’s Degree.

Experience Level: 4+ years.

Job Location: Hyderabad, Bangalore.

Apply Mode: Online.

Responsibilities:

• Contribute to the development of internal AI-based productivity tools that provide agentic experiences to help solve performance problems and enhance the efficiency of internal engineering teams (e.g., assist in tools for reducing mean time to resolve performance issues, anomaly detection, and exploring auto-resolution).
• Support investigations into performance anomalies to help identify application bottlenecks and apply the learning to develop AI-powered agents to assist with initial triaging.
• Build intelligent frameworks that automate performance anomaly detection, infrastructure health checks, and root cause identification across telemetry, logs, and system utilization metrics.
• Actively learn about and explore emerging AI and web technologies and work closely with senior team members on advancements in AI, machine learning, and software development best practices to identify potential opportunities for tool improvements.
• Help implement and execute methodologies for evaluating performance and scalability using defined representative user workloads and contribute to internal and external performance benchmarks.
• Instrument and benchmark systems to measure latency, reliability, and accuracy of AI agents; analyze gaps and continuously tune for performance.
• Clearly communicate your work, findings, and analysis to team members and present recommendations effectively to technical audiences.
• Participate in product design discussions and help address software performance issues by identifying hotspots, develop prototypes to ensure

Minimum Qualifications:

• A related technical degree required.
• 4+ years of experience in coding (Python highly preferred, Java/C++) with a focus on AI applications and strong software engineering fundamentals (data structures, algorithms, design patterns).
• Deep understanding of machine learning/AI fundamentals, especially LLMs and NLP concepts, including inference orchestration, fine-tuning, and agentic workflows.
• Strong technical problem-solving, communication, and collaboration skills, with a focus on AI-related challenges and the ability to work effectively with diverse teams.
• Intense curiosity and willingness to question and explore new AI technologies.

Nice to Have:

• Master's in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related technical field.
• Knowledge of various prompting strategies (e.g., zero-shot, few-shot, chain-of-thought) to elicit desired responses from AI models, especially Large Language Models (LLMs).
• Familiarity with NLP concepts like tokenization, syntax, semantics, different language models, and generative AI.
• Contributions to open-source AI, front-end, or performance-related projects.
• Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with AI agent frameworks like LangChain, Semantic Kernel, or AutoGen.
• Familiarity with telemetry and production analysis (metrics, traces, logs), and applying AI to solve observability or debugging challenges.
• Familiarity with profiling tools (e.g., perf, FlameGraphs) and performance diagnostic techniques.

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/jr312773/performance-engineer-mts/

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