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Senior Performance Engineer

CodersBrain

 

Bangalore, Karnataka, India

Posted On: 1 day ago
Experience: 5+ years
Availability: Remote
Openings: 1
Category: Senior Performance Engineer
Tenure: Full-time Only
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Description

Key Responsibilities*

*Performance Engineering & Quality*

Design, develop, and execute comprehensive performance, load, stress, endurance, volume, and scalability testing strategies.

Define and maintain performance testing frameworks, standards, and best practices.

Analyze application, database, infrastructure, and API performance bottlenecks.

Perform root cause analysis and provide actionable optimization recommendations.

Establish baselines, benchmarks, SLAs, SLOs, and performance acceptance criteria.

Collaborate with product and engineering teams to validate non-functional requirements.

Drive shift-left performance testing practices throughout the software development lifecycle.

*Performance Engineering Champion*

Act as the organization's Performance Engineering Champion across product teams.

Promote a performance-first mindset and engineering excellence culture.

 Drive adoption of performance engineering best practices, standards, and

governance.

 Influence architectural decisions with data-driven performance recommendations.

 Lead performance reviews and facilitate discussions with engineering stakeholders.

 Define roadmaps for performance maturity and continuous improvement.

*Cross-Functional Collaboration*

 Serve as the primary bridge between Quality Engineering, Engineering, Architecture,

Product Management, and Operations teams.

 Communicate performance risks, findings, bottlenecks, and mitigation strategies to

both technical and non-technical stakeholders.

 Work closely with engineering teams to ensure performance considerations are

addressed during design and implementation phases.

 Mentor team members and share performance engineering knowledge across the

organization.

 Participate in design reviews, capacity planning, and production readiness

assessments.

*Observability & Monitoring*

 Define observability requirements and performance monitoring strategies.

 Analyze telemetry data, logs, traces, and application metrics.

 Partner with engineering teams to improve system reliability and operational visibility.

 Establish dashboards and reporting for proactive performance monitoring.

*Required Qualifications*

 Bachelor's degree in Computer Science, Engineering, Information Technology, or

related field.

 5+ years of experience in Performance Testing and Performance Engineering.

 Strong experience with modern performance testing tools such as:

o K6

o JMeter

o LoadRunner

o Gatling

o NeoLoad (or equivalent)

 Strong understanding of:

o Web applications

o REST APIs

o Microservices architecture

o Distributed systems

o Cloud-native applications

 Experience analyzing:

o Application performance

o Database performance

o Infrastructure performance

o API performance

 Strong SQL and database performance tuning knowledge.

 Experience with telemetry and monitoring tools.

 Excellent interpersonal, communication, and stakeholder management skills.

 Ability to present technical findings to engineering leadership and executive

stakeholders.

*Required AI Fluency & Mindset (GPO Core Baseline)*

*Applied AI Workflow (L2+)*

 Demonstrated use of AI tools in daily engineering workflows.

 Ability to leverage AI for:

o Test design

o Script development

o Performance analysis

o Technical research

o Problem investigation

o Documentation creation

*AI-Assisted Engineering*

 Experience using Generative AI tools to improve productivity and engineering

outcomes.

 Ability to critically evaluate AI-generated recommendations.

 Understanding of responsible AI usage, governance, and security considerations.

*Continuous Learning Mindset*

 Strong curiosity for emerging technologies and AI-driven engineering practices.

 Willingness to experiment with new tools and methodologies to improve quality and

delivery outcomes.

*Preferred Qualifications*

 Experience in enterprise SaaS environments.

 Experience with large-scale distributed systems.

 Experience implementing performance engineering practices in Agile/DevOps

organizations.

 Experience building performance engineering strategies from the ground up.

 Knowledge of FinOps, cloud cost optimization, and capacity forecasting.

 ISTQB Performance Testing Certification or equivalent.

 Azure, AWS, Kubernetes, or DevOps certifications

Education

Bachelor's degree

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