Principal Software Engineer in Test

Okta; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Okta in Bengaluru seeks an experienced Quality/Automation Engineer to own cross-team quality initiatives from planning through production rollout. You will lead test strategy design, drive observability and CI/CD adoption, and mentor engineers while leveraging AI-powered testing tools to enhance coverage and reliability.

The role demands hands-on expertise in API, end-to-end, and performance testing, with strong software engineering foundations and excellent communication across product and

Qualifications

• 8+ years of quality/test engineering experience with hands-on test automation across API, end-to-end, and performance/scale testing.
• 8+ years building and scaling automation frameworks using Java (or equivalent OO language) including UI/API testing tooling.
• 5+ years designing and executing performance, load, reliability testing (e.g., JMeter, Gatling).
• 5+ years with observability/diagnostic tooling (Splunk, Datadog, Grafana), SQL, and Unix/Linux systems.
• Ability to own and deliver cross-team, ambiguous projects from planning to production readiness.
• Proven ability to influence technical direction and align multiple teams.

Responsibilities

• Own and deliver complex, cross-team quality initiatives end-to-end with minimal oversight.
• Lead technical design discussions on test strategy, architecture, and quality standards across engineering, product, design.
• Generate original solutions to ambiguous quality problems using sound engineering judgment.
• Manage quality and release risk across boundaries; prioritize in partnership with leadership.
• Champion CI/CD, observability, monitoring, and production-hygiene practices across teams.
• Mentor engineers and contribute to hiring/interviews, raising engineering culture.
• Drive AI-powered testing capabilities to improve quality engineering efficiency and coverage.
• Evaluate emerging AI tooling and lead pilots to integrate into CI/CD pipelines.

Skills

Quality engineering

Test automation

Java

API testing

Performance testing

CI/CD

Observability tools

Mentoring

Communication

Education

B.S. in Computer Science

Advanced degree a plus

Tools

JMeter

Gatling

Splunk

Datadog

Grafana

SQL

Unix/Linux

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.

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.

The Okta Experience

• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City.