Top Software Test Engineer Jobs in Chicago, IL

As a Software Engineer, Test & Infrastructure II, you will develop automated test frameworks and validate real-time call flows while collaborating with peers in a hybrid environment.

Lead initiatives that enable production-like system testing across engineering. Build realistic test environments, workload generation and replay, fault-injection tooling, shared testing frameworks, and continuous or release validation. Partner with infrastructure, reliability, release, and product teams to convert incident learnings into durable test coverage. Mentor engineers, influence testing strategy, and improve observability, debuggability, and operational readiness.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

Lead design and operation of test infrastructure at scale: test orchestration, smart selection, parallel sharding, flaky-test detection, observability, SLOs, and on-call. Define technical strategy, drive cross-team projects, mentor engineers, and reduce test feedback time to accelerate engineering velocity.

The Staff SDET will design and implement automated test frameworks using TypeScript, collaborate with developers, and enhance testing processes within CI/CD pipelines.

The Software Test Engineer will design, implement, and maintain test frameworks for back-end services, ensuring product quality through test case creation and automation, and collaborating with cross-functional teams.

Define and lead an enterprise-level test automation strategy across various layers, focusing on scaling automation frameworks, improving quality, and mentoring engineers. Collaborate on testing AI systems, enhancing CI/CD processes, and reducing flakiness in automation.

Lead development of automated API, UI, and end-to-end tests for a real-time trading platform. Extend AI-assisted test generation, build scalable CI/CD test frameworks for order lifecycles and market-data streams, reduce flakiness, triage failures, mentor engineers, and drive quality and testability across the product.

Design, implement, and maintain automated and manual tests across unit, component, integration, and end-to-end levels. Build scalable test frameworks, automate UI and API tests, run performance/load tests, produce test reports, report regressions, and collaborate with agile teams to influence design and ensure product testability and scalability.

Design and implement automated test frameworks and data validation utilities for enterprise data platforms. Validate data transformations, pipelines, lineage, and performance across Databricks, Snowflake, Spark, Hadoop and cloud environments. Integrate tests into CI/CD, perform white-box and performance testing, investigate production defects, and collaborate with Data Engineering, Analytics, and business stakeholders to ensure P&C insurance data quality and regulatory readiness.

Lead the quality engineering efforts for Replicant's AI platform by defining standards, improving testing strategies, and mentoring a QA team to ensure high-quality outputs across software systems.

Own quality engineering and test automation for BRINC's LiveOps web platform and backend services. Design and maintain automated API, integration, and end-to-end test frameworks, validate security/IAM controls and ML/vision outputs, build test infrastructure, run performance/load testing for real-time streaming and teleoperation, integrate tests into CI/CD, triage failures, and produce quality metrics and release-readiness reports.

The Lead Quality Engineer will set quality standards, mentor a QA team, improve testing strategies, and enhance automation in AI-driven workflows.

Join the Consumer Technology team to develop, maintain, and troubleshoot applications and test tools. Perform routine automation, white-box testing, code reviews, monitor automated processes, estimate tasks, communicate with product owners and users, and recommend improvements. Assist in training others and follow departmental methodologies.