Principal Software Engineer in Test

Okta; Bengaluru; On-site; INR 400,000 - 800,000; Full time

Job summary

Okta seeks an experienced Quality Engineer to lead end-to-end quality initiatives across cross-functional teams in Bengaluru. This role emphasizes AI-powered testing, scalable automation frameworks, and strong collaboration with product, design, and support to ensure reliable, secure software delivery.

Ideal candidates bring 8+ years in quality engineering, Java-based automation, performance testing, and deep observability tooling.

Qualifications

• 8+ years in quality engineering with hands-on test automation across API, end-to-end, and performance testing.
• 8+ years building and scaling automation frameworks using Java and UI/API testing tooling.
• 5+ years designing and executing performance, load, and reliability testing (e.g., JMeter, Gatling) to influence engineering decisions.
• 5+ years with observability and diagnostic tooling (Splunk, Datadog, Grafana), SQL, and Unix/Linux systems.
• Independently owning cross-team, ambiguous technical projects from plan to production readiness.
• Proven track record of influencing direction and aligning multiple teams and stakeholders.
• Strong written and verbal communication; experience leading technical design discussions and stakeholder buy-in.
• Experience mentoring engineers and contributing to recruiting/interviewing processes.
• Hands-on AI/ML tooling in quality engineering (LLM-based test generation, AI coding assistants, self-healing test frameworks, AI anomaly/log analysis).
• Ability to learn new tech quickly and provide technical direction to others.

Responsibilities

• Own and deliver complex, cross-team quality initiatives end-to-end—from problem definition to architecture, implementation, and production rollout with minimal oversight.
• Lead technical design discussions and drive stakeholder alignment on test strategy, architecture, and quality standards across engineering, product, and design.
• Generate original solutions to ambiguous quality problems; apply sound engineering judgment when answers aren’t obvious.
• Anticipate, communicate, and manage quality and release risk across boundaries; trade off priorities with engineering leadership.
• Champion CI/CD, observability, monitoring/alerting, and production-hygiene practices across teams.
• Guide engineers on execution of sub-tasks within larger quality initiatives; raise the bar on code review for reliability, performance, security, maintainability.
• Partner with Engineering, Product, Design, Support, and Field/CSM teams to identify recurring issues and drive improvements.
• Respond to critical production issues and customer escalations during on-call, performing root-cause analysis.
• Mentor engineers, contribute to hiring/interviews, and help improve engineering culture across teams.
• Drive adoption of AI-powered testing capabilities to improve efficiency and coverage across teams.
• Evaluate emerging AI tooling and pilot integration into existing automation and CI/CD pipelines.

Skills

Automation

Test automation

Cross-team leadership

Communication skills

Learning agility

Education

B.S. in Computer Science

Tools

Java

JMeter

Gatling

Splunk

Datadog

Grafana

SQL

Unix/Linux

CI/CD

Job description

Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Job Duties and Responsibilities:

• Own and deliver complex, cross-team quality initiatives end-to-end — from ambiguous problem definition through architecture, implementation, and production rollout with minimal oversight
• Lead technical design discussions and drive stakeholder alignment on test strategy, architecture, and quality standards across engineering, product, and design
• Generate original solutions to ambiguous or previously unsolved quality problems; use sound engineering judgment when there is no obvious answer
• Anticipate, communicate, and manage quality and release risk across team boundaries; make prioritization trade-offs in partnership with engineering leadership
• Champion CI/CD, observability, monitoring/alerting, and production-hygiene practices, and drive their adoption beyond your own team
• Guide new and existing engineers on execution of sub-tasks within larger quality initiatives; raise the bar on code review standards for reliability, performance, security, and maintainability
• Partner with Engineering, Product, Design, Support, and Field/CSM teams to identify recurring customer issues and drive systemic product and process improvements
• Respond to and help resolve critical production issues/customer escalations during on-call rotation, driving root-cause analysis
• Mentor engineers, contribute to hiring and interviewing, and help improve engineering culture across the team and adjacent teams
• Drive adoption of AI powered testing capabilities — such as AI-assisted test case/script generation, self-healing test automation, and AI-driven test coverage or anomaly/log analysis — to improve quality engineering efficiency and coverage across teams
• Evaluate emerging AI tooling and agentic testing frameworks, and lead pilots to integrate them into existing automation and CI/CD pipelines

Minimum REQUIRED Knowledge, Skills, and Abilities:

• 8+ years of quality/test engineering experience with deep, hands-on test automation expertise across API, end-to-end, and performance/scale testing
• 8+ years of experience building and scaling automation frameworks using Java (or equivalent object-oriented language), including UI and/or API testing tooling
• 5+ years of experience designing and executing performance, load, and reliability testing (e.g., JMeter, Gatling) and using results to influence engineering decisions
• 5+ years of experience with observability and diagnostic tooling (Splunk, Datadog, Grafana), SQL, and Unix/Linux systems
• Demonstrated ability to independently own and deliver cross-team, ambiguous technical projects without oversight, including planning, scoping, and production readiness (scalability, monitoring, alerting, resource efficiency)
• Proven track record of influencing technical direction and driving alignment across multiple teams and stakeholders (engineering, product, design)
• Strong written and verbal communication skills; experience leading technical design discussions and building stakeholder buy-in
• Experience mentoring engineers and contributing to team hiring/interviewing processes
• Hands-on experience applying AI/ML tools to quality engineering — e.g., LLM-based test/code generation, AI coding assistants (Copilot, Cursor, Claude Code), self-healing test frameworks, or AI-driven anomaly/log analysis
• Ability to quickly learn new technologies, evaluate trade-offs, and provide technical direction to others

Education and Training:

B.S. in Computer Science or related field, or equivalent practical experience. Advanced degree a plus.

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