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Sumo Logic

Staff Software Engineer - Testing & Automation

  • Seen live on Sumo Logic's site yesterday
  • Senior
Pay
Not stated
Location
Noida, Uttar Pradesh, India
Open for
12+ days
First seen
Oct 23, 2026
Apply on Sumo Logic's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Sumo Logic's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Sumo Logic, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

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What it asks of you

10+ years of experience
“Experience & Education: 8-10+ years of industry experience, with a proven track record of leading complex technical projects and cross-team initiatives.” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Staff Software Engineer - Testing & Automation

Exceptional software engineering is challenging. Amplifying it to ensure that multiple teams can concurrently create and manage a vast, intricate product escalates the complexity. As a Staff Engineer within the Verification Platform team at Sumo Logic, you will drive the implementation and optimization for our verification platform as well as the modernization of our CI/CD pipelines. Your mission is to develop and sustain automated tooling for all testing, verification, and functional requirements, leveraging AI reasoning and machine learning models to predict and prevent delivery issues, while integrating advanced security validation and non-functional requirements into our delivery lifecycle. You will contribute significantly to establishing automated delivery pipelines, empowering autonomous teams to create independently deployable services, and progressing Sumo Logic’s internal Platform-as-a-Service.

This role sits at the intersection of Platform Engineering, Quality Engineering, DevSecOps, and Developer Productivity, helping teams deliver secure, reliable, and independently deployable services at scale.

Responsibilities

  • Strategy & Leadership: Drive 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.
  • Pipeline Modernization: Lead 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.
  • Framework Ownership: Own the delivery pipeline and release automation framework for all Sumo services, ensuring improvements in developer productivity, deployment frequency, and release reliability.
  • Cross-Team Collaboration: Educate and collaborate with teams during design and development phases to ensure best practices in verification and automated delivery.
  • Mentorship: Mentor engineers, fostering growth and technical excellence within the team.
  • Technical Advocacy: Partner with engineering leadership to drive architectural decisions and technical roadmap.
  • Documentation: Write detailed design documents and maintain comprehensive documentation on system design and implementation.
  • Operational Excellence: Participate in an on-call rotation to manage incidents and drive root cause identification to continually improve operational posture.

Required Qualifications and Skills

  • Experience & Education: 8-10+ years of industry experience, with a proven track record of leading complex technical projects and cross-team initiatives. B.S. or M.S. in Computer Science or a related technical discipline.
  • Technical Fluency: Coding proficiency in Java, Scala, or Golang to author production-ready code. Proficient in scripting languages such as Groovy, Python, or Bash for automation. Experience running and tuning JVM workloads at scale.
  • Verification Specialist: Deep experience with Quality Engineering platforms, focusing on the automation of functional requirements and testing at scale.
  • AI/ML for SDLC: Demonstrated experience in applying AI reasoning, machine learning, and predictive analytics to enhance release processes, testing efficiency, and risk identification across the SDLC pipelines.
  • CI/CD Tooling: Expert knowledge of software delivery technologies like Jenkins, including writing complex pipelines, and build tools like Make, Gradle, or NPM.
  • Cloud & Infrastructure: Strong experience with cloud technologies (AWS/Azure/GCP) and Infrastructure-as-Code tools such as Terraform or Crossplane.
  • Security & Compliance: Advanced understanding of DevSecOps, including automated security testing and policy-as-code.
  • Process: Very familiar with agile frameworks, such as Scrum and Kanban.

About Us

Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy . Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

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