Sumo Logic12 days ago
Staff Verification Engineer
Salary not specified
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
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Noida
Responsibilities
- 01Drive technical direction and design for a modern Quality Engineering platform, driving the adoption of AI reasoning for enhanced automation of all testing, verification, and functional requirements
- 02Lead the modernization of CI/CD pipelines to include automated security validation, compliance checks, and other critical non-functional requirements, with a focus on integrating AI/ML for intelligent pipeline optimization and risk prediction
- 03Own the delivery pipeline and release automation framework for all Sumo services, ensuring improvements in developer productivity, deployment frequency, and release reliability
- 04Educate and collaborate with teams during design and development phases to ensure best practices in verification and automated delivery
- 05Mentor engineers, fostering growth and technical excellence within the team
- 06Partner with engineering leadership to drive architectural decisions and technical roadmap
- 07Write detailed design documents and maintain comprehensive documentation on system design and implementation
- 08Participate in an on-call rotation to manage incidents and drive root cause identification to continually improve operational posture
Requirements
- 018-10+ years of industry experience, with a proven track record of leading complex technical projects and cross-team initiatives
- 02B.S. or M.S. in Computer Science or a related technical discipline
- 03Coding proficiency in Java, Scala, or Golang to author production-ready code
- 04Proficient in scripting languages such as Groovy, Python, or Bash for automation
- 05Experience running and tuning JVM workloads at scale
- 06Deep experience with Quality Engineering platforms, focusing on the automation of functional requirements and testing at scale
- 07Demonstrated experience in applying AI reasoning, machine learning, and predictive analytics to enhance release processes, testing efficiency, and risk identification across the SDLC pipelines
- 08Expert knowledge of software delivery technologies like Jenkins, including writing complex pipelines, and build tools like Make, Gradle, or NPM
- 09Strong experience with cloud technologies (AWS/Azure/GCP) and Infrastructure-as-Code tools such as Terraform or Crossplane
- 10Advanced understanding of DevSecOps, including automated security testing and policy-as-code
- 11Very familiar with agile frameworks, such as Scrum and Kanban