Solution Test lead
TriOptus LLC
- Indianapolis, Indiana, United States
- Indianapolis, Indiana, United States
About
Requisition Overview
Requisition ID: 9569 Role Title: Solutions Engineer - Test Lead Hiring Manager: Mark Komelsen Business Requirement (BR): 119 Work Model: Hybrid only (not remote), Indianapolis, Portsmouth, Boston Interview Model: 1st round with Mark, 2nd round with Architect and Principal Engineer Contract to Hire position Team & Platform Context
Role sits within a centralized Site Reliability Engineering (SRE) team Team supports a large commercial insurance platform Position operates at an engineering leadership / architect-level within the testing discipline Scope spans four major capabilities and platform components Core Capabilities & Responsibilities
SRE & DevOps integration, Monitoring and observability Quality Engineering & Test Engineering, with a strong AI-driven testing focus Performance Engineering, including tools such as: LoadRunner k6 Data validation and modernization, with exposure to: SQL Server PostgreSQL Oracle Technical & Skill Requirements
AWS 80%, Azure 20%, Kubernetes and containerization Deep understanding of testing disciplines and quality engineering frameworks Hands-on experience with Playwright, including integration with AI-assisted testing Strong background in test architecture and integration design Ability to operate at a solution and architecture level, influencing testing strategy across systems and components Experience designing and validating complex, integrated systems across multiple platforms Ideal Candidate Profile
Senior-level engineer with architectural testing experience Strong cross-functional understanding of SRE, DevOps, QA, and performance engineering Comfortable operating in a hybrid, enterprise environment Capable of leading testing strategy for modern, distributed systems with a focus on quality, scalability, and reliability Able to read and analyze Dashboards, Power BI preferred.
Fixed Markup - 40%, please calculate accordingly and make sure to offer pay based on the experience too.
Job Description:
Job Summary: The GRS Quality Engineering (GRS-QE) organization is seeking a dynamic, hands-on Solutions Engineer to lead and deliver innovative quality-engineering solutions across a large application portfolio. Candidates' focus will be Gen-AI-driven enterprise test automation, quality insights, performance engineering, data-validation frameworks, and tight collaboration with Site Reliability Engineering to build observability into every stage of the SDLC. Candidates will combine deep technical expertise with strong leadership to architect, implement, and scale modern testing platforms that enable teams worldwide to ship faster and safer. About the Job: Lead the end-to-end delivery of quality-engineering solutions that meet customer needs while aligning with technology guardrails and strategic roadmaps. Partner with Site Reliability Engineering (SRE) to embed observability-metrics, logs, traces-into automated tests and quality gates, reducing MTTR and boosting incident readiness. Drive Gen-AI/LLM experimentation (self-healing tests, autonomous test-case generation, AI-assisted defect triage) and transition validated prototypes into production platforms. Guide feature teams on modern quality practices: Shift-Left, DevTestOps, contract testing, performance engineering, data validation, and program-level quality governance. Integrate and optimize vendor testing platforms/tools (e.g., PractiTest, LambdaTest, LoadRunner, UIPath) to maximize business value and ROI. Collaborate with product managers, architects, engineers, and business stakeholders to translate requirements into scalable quality solutions, and quality solutions into effective delivery decisions. Work with application teams to apply testing strategy, standards, and tools to agile delivery with confidence Facilitate global knowledge sharing, cross-team alignment, and continuous improvement across geographically dispersed squads. Participate in incident management, root-cause analysis, and post-mortems; provide consultative recommendations to prevent recurrence. Contribute to funding prioritization and roadmap planning to ensure efficient use of resources. Mentor and coach engineers, fostering technical growth and promoting agile best practices (Scrum, Kanban). Utilize design thinking, DevTestOps pipelines, and infrastructure-as-code to improve speed and quality. Stay abreast of emerging technologies in genAI, cloud architecture, containerization, microservices, and observability; apply relevant innovations to ongoing work. Document architectures, quality standards and strategy thoroughly for maintainability and knowledge transfer. Client encourages candidates to apply if candidates are: Strategic Partner - able to connect the dots between business outcomes, customer experience, and technical architecture. Proficient Communicator - able to effectively communicate to multiple levels of org leadership Systems-Level Engineer - comfortable whiteboarding end-to-end flows for microservices, event buses, data contracts, and test hooks-knowing where the risks live. AI-Curious Practitioner - always exploring Gen-AI, ML, and autonomous testing trends, turning hype into production value. Change Agent - skilled at leading by influence, facilitating consensus across dev, ops, product, SRE, and leadership stakeholders. Mentor & Multiplier - committed to raising the bar for everyone around candidates through coaching, pairing, and knowledge sharing. Qualifications: Bachelor's or master's degree in Computer Science, Engineering, or a related discipline (or equivalent experience). 10 plus years of hands-on software or quality engineering experience with demonstrated technical leadership. Proven expertise in building and integrating large-scale test automation frameworks within AWS environments. Hands-on skills with at least two of the following: Playwright, UIPath, RestAssured, Postman, Pact. Experience embedding automated tests into CI/CD pipelines using GitHub Actions, Azure DevOps, or similar. Solid understanding of cloud-native architectures, microservices, containerization (Docker/Kubernetes), and infrastructure-as-code. Familiarity with performance/load testing tools (k6, JMeter, LoadRunner) and observability platforms (DataDog). Exposure to Gen-AI/LLM-powered testing tools (Copilot, OpenAI) or custom prompt/embedding solutions. Strong communication, facilitation, consensus-building, and stakeholder-management skills. Proven ability to mentor and elevate team technical capabilities. Relevant certifications (AWS, testing tools, or observability) are a plus.
Languages
- English
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