Performance Engineer

Key Deliverables (Key Result Areas):

1. Monitor performance tests and report PE observations.
2. Identify performance issues/bottlenecks and recommend resolutions.
3. Tracking issues/bottlenecks resolution to closure.
4. Present PE observations and resolutions to project stakeholders and leads.
5. Participate in Customer engagement activities like with periodic review meetings (monthly / quarterly, etc)
6. Perform Architecture Reviews cross different architecture styles.
7. Training & Mentoring junior PEs.
8. Contribution to Documentation and Knowledge Management.
9. Conduct classroom & online trainings
10. Formulate plans and implement growth of PE practise.
11. Contribute to new recruitments (shortlisting, interview, induction, etc)

Key Responsibilities (Job Description):

1. Technical

• Understand application architecture, scoping sheet, project objectives, etc
• Provide pre-requisites for PE activities
• Validate performance issues
• Review load profile for load, stress, and endurance tests to simulate real-world usage scenarios.
• Expertise in optimizing application, web server configurations, etc to ensure optimal performance of different systems.
• Analyse different application logs, errors logs, etc to identify trends and issues.
• Thorough understanding of memory management, garbage collection, different application pools, etc to troubleshoot performance issues.
• Knowledge of Database management, query tuning, indexing, etc for database optimization
• Knowledge of different observability tools like Grafana, Prometheus, etc for performance tracking.
• Optimize application and web server configurations to ensure optimal performance.
• Understand memory management concepts including SGA, PGA, heap size, and session management.
• Possess strong analytical skills to diagnose performance test bottlenecks
• Understand load balancing algorithms and integration layers including MQ, Kafka, IIB, RabbitMQ, etc.
• Analyse TCP dumps using Wireshark for network troubleshooting.
• Understanding of microservices architecture, Docker, Kubernetes environment, etc.
• In-depth understanding of system architecture, database systems, and networking
• Excellent problem-solving skills and attention to detail.
• Experience with performance engineering tools and methodologies.
• Proven track record of successful performance engineering projects.
• Contribute to capacity planning

1. Process

• Possess different domain expertise to devise performance analysis strategies tailored to specific sectors.
• Build a thorough understanding of application functionality, execution flow, and interdependencies.
• Develop and implement performance engineering strategies to assess software applications' performance and scalability.
• Lead and coordinate performance engineering efforts across different projects and teams.
• Collaborate with architects, developers, and other stakeholders to optimize system performance.
• Mentor and guide performance engineers, providing technical expertise and support.
• Analyse performance testing results to identify bottlenecks, areas for improvement, and trends.
• Provide actionable recommendations for performance improvements and architectural changes.
• Create and present performance reports to project teams and management.
• Stay updated with industry best practices and emerging trends in performance engineering.
• Stay updated with industry trends and emerging technologies related to performance engineering.
• Contribute to Architecture Review

1. Governance

• Document PE observations for tests
• Document monthly report on PE activities
• Help identifying and fixing the monitoring gaps.
• Help identifying and fixing the performance testing gaps.

1. Client Satisfaction and Escalations

• Preparing client reports of PE triage activities
• Address client performance concerns in a timely and professional manner.
• Provide clear and concise explanations to clients regarding performance issues and solutions.
• Collaborate with client teams to implement performance improvements as necessary.

Key Performance Measures and KPIs

• Develop and present case studies, whitepapers, presentation, IP creation, Client Demo's etc
• Participant or conduct Webinars and Technical sessions.
• Number of projects supported for PE activities.
• Number of issues/bottlenecks identified (beyond reported by client) and tracked to closure.
• Number of root cause analysis (RCAs) & recommendations provided.
• Timelines management of the overall project.
• Number of technical / non-technical seminars/webinars presented or attended.
• Number of PE specific project case studies prepared for Sales/Presales team.
• New Initiatives at Organization level.
• KPIs –
• Quality Ownership - Track performance issue/bottlenecks to closure.
• Organizational Process Adherence –

1. Timesheet Filling
2. Timely Applying leaves
3. Attendance Discipline

• Skill Enablement

1. KT Sessions
2. LinQ certifications
3. Other PE technologies/tool certification.

Key Decision Pointers (capture any decision-making authority, if any)

• This role is an individual contributor and providing the inputs for further decision making.

Mandated Certifications in the role:

• Completion of PE 101
• Completion of PE 102

Linked Career Roles –

• Senior Performance Lead
• APM roles.
• SRE
• DevOps
• Through learning and certifications, Internal Job Rotations available across the organization.

Background:

1. Education:

• Graduates – BE/BTech (IT), BSc/MSc (IT) or equivalent.
• Skills / Certifications:

1. Experience:

• 3 years to 10 years of relevant Performance Engineering Experience.

1. Technical

• Sound understanding of different architecture types – Monolithic, SOA, Microservices, etc.
• Familiarity with docker and Kubernetes technologies, etc.
• Sound understanding of different architecture styles – Client Server, Layered, P2P, N-Tier, Event Driven, etc.
• Understanding of different OS, configuration, memory management, etc.
• Working knowledge of Load Balancer, Web Server, App Server, Database Server.
• Knowledge of Caching tools and technologies, CDN, etc.
• Expertise in server-side & client-side performance tuning tools and process
• Expertise in Garbage Collection analysis, Thread dump analysis, heap dump analysis, etc.
• Expertise in Network troubleshooting tools, log analysis and observability tools, etc.
• Expertise in application monitoring using APM tools, JVM utilities, Cloud tools, etc.
• Expertise in core Linux utilities, shell scripting, log analysis tools.
• Knowledge of any programming knowledge like Java, Python, etc.
• Knowledge of encryption, decryption, etc.
• Knowledge and hands-on experience with any of the Cloud technologies, etc.
• Develop skills in advance PE tools and technologies.

Build expertise in latest technologies like Blockchain, GenAI, automation, etc. in future