Senior Software Engineer

Tenable, Inc.•Columbia, MD

5h•Hybrid

About The Position

Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: We’re looking for a detail-oriented and technically strong Sr. Software Engineer (Quality) with a passion for quality and a knack for understanding complex systems. You’ll bring a critical eye to the Tenable VM product suites operating in dynamic environments and identifying quality issues before they reach our customers. We need someone with strong analytical skills, who learns new technologies quickly and thrives in a fast-moving, startup-style environment. As part of this role, we're looking for a self-starter, a driver, and a champion of test-driven development (TDD) principles and with a strong Python and UI automation skill set. While you’ll focus on automating existing functionality, your contributions will be instrumental in maturing our test frameworks and development processes often with limited documentation or hand-holding. Your Opportunity: Drive the evolution of our existing testing architecture by designing modular libraries and maturing our Python frameworks to ensure scalable, fault-tolerant coverage in a high-velocity environment. Drive the convergence of QA and Development by performing RCAs, contributing to the codebase to resolve complex defects, and championing "Shift-Left" testing methodologies. Partner with Product and Engineering to define quality benchmarks, ensuring high-performance standards and reliability are integrated into the SDLC from inception to deployment. Design advanced monitoring and alerting strategies using Datadog and Coralogix; leverage Pytest and Playwright to build sophisticated, non-flaky end-to-end (E2E) suites that validate complex distributed workflows. Establish and enforce quality gates, comprehensive test strategies, and release readiness protocols to maintain a gold standard for production deployments. Act as a subject matter expert (SME) to identify systemic bottlenecks, mentor junior engineers, and continuously evolve testing processes to increase deployment velocity without compromising quality.

Requirements

7-10 years of experience in software testing.
Demonstrated experience working with SaaS based products.
Deep understanding of QA methodologies, test processes, and defect lifecycle management tools.
Hands-on expertise with automated testing strategies.
Deep Expertise on Python with pytest framework and UI automation using Playwright or similar tools.
Experience with CI/CD tools (e.g. Cloudbees, Jenkins).
Familiarity with API testing tools like Postman, REST Assured, or similar.
Ability to operate with limited product specs and still deliver high-impact results.

Nice To Haves

Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
Experience with monitoring/logging tools (e.g., Datadog, Coralogix, Splunk).
Experience with Performance testing tools ( JMeter, k6, Locust).
Exposure to shift-left best practices such as using Pact, Mockserver.

Responsibilities

Drive the evolution of our existing testing architecture by designing modular libraries and maturing our Python frameworks to ensure scalable, fault-tolerant coverage in a high-velocity environment.
Drive the convergence of QA and Development by performing RCAs, contributing to the codebase to resolve complex defects, and championing "Shift-Left" testing methodologies.
Partner with Product and Engineering to define quality benchmarks, ensuring high-performance standards and reliability are integrated into the SDLC from inception to deployment.
Design advanced monitoring and alerting strategies using Datadog and Coralogix; leverage Pytest and Playwright to build sophisticated, non-flaky end-to-end (E2E) suites that validate complex distributed workflows.
Establish and enforce quality gates, comprehensive test strategies, and release readiness protocols to maintain a gold standard for production deployments.
Act as a subject matter expert (SME) to identify systemic bottlenecks, mentor junior engineers, and continuously evolve testing processes to increase deployment velocity without compromising quality.