Onsite in Austin or Southlake, TX As a Senior Software Development Engineer in Test with AI, you will help define and execute technologyagnostic quality engineering practices across modern application stacks. You will partner with developers, architects, product owners, and operations teams to improve test automation, release confidence, and engineering productivity while applying AIassisted SDLC practices responsibly.What You HaveKey ResponsibilitiesPartner with product owners, developers, architects, and crossfunctional teams to understand business and technical requirements and translate them into comprehensive test strategies, test cases, automation coverage, and release validation plans.Design, develop, and maintain scalable automated test frameworks and test suites across UI, API, service, integration, data, eventdriven, endtoend, regression, performance, and deployment validation layers.Drive quality engineering best practices by integrating automated tests into CICD pipelines, improving test reliability, reducing manual validation effort, and enabling faster, safer releases.Validate distributed, highvolume, and eventdriven systems, including message flows, data integrity, service contracts, resilience, observability, operational readiness, and failure recovery scenarios.Use AIassisted engineering tools such as GitHub Copilot or equivalent to improve test design, automation development, test coverage, documentation, regression support, defect analysis, troubleshooting, and engineering productivity while maintaining ownership for correctness and quality.Apply prompt engineering, reusable instructions, specdriven workflows, and agentic concepts to accelerate quality engineering activities in a responsible, reviewable, and measurable manner.Create and maintain quality artifacts including test plans, automation strategy, traceability, defect analysis, validation evidence, release readiness summaries, and auditready documentation.Collaborate with globally distributed teams and influence quality outcomes across the SDLC through automationfirst thinking, riskbased testing, engineering rigor, and continuous improvement.Required QualificationsBachelors degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience.8 years of experience in software testing, test automation, software development, or quality engineering for enterprise applications in highly available, highvolume environments.Handson experience designing, developing, and maintaining automated test frameworks using one or more modern programming languages and test automation ecosystems.Strong experience with API testing, UI automation, service validation, integration testing, endtoend testing, regression automation, test data validation, and release validation practices.Experience validating cloudnative, containerized, distributed, or servicebased applications deployed on platforms such as PCF, Kubernetes, Docker, GCP, AWS, Azure, or comparable enterprise platforms.Experience with SQL or NoSQL databases, including test data creation, data validation, querybased verification, and quality checks across structured or semistructured data.Strong understanding of objectoriented programming, scripting, algorithms, data structures, debugging practices, service contracts, and automation design principles.Experience with CICD pipeline integration, source control, work tracking, and collaboration tools such as GitHub, GitLab, Azure DevOps, Jira, Rally, Confluence, or comparable platforms.Working experience or exposure to messaging, streaming, or eventdriven technologies such as Kafka, IBM MQ, RabbitMQ, cloud pubsub services, or comparable platforms.Experience applying BDD, TDD, ATDD, riskbased testing, shiftleft testing, quality gates, and modern quality engineering practices across the SDLC.Demonstrated handson experience using GenAI coding assistants across SDLC workflows, including test generation, automation development, refactoring, unit testing, regression support, code reviews, scripting, troubleshooting, and documentation.Practical familiarity with tools such as GitHub Copilot, Claude Code, Gemini Code Assist, Cursor, or equivalent AIassisted engineering tools in IDE, CLI, or workflowbased environments.Working knowledge of Generative AI concepts, responsible AIassisted engineering practices, prompt engineering, reusable prompts, custom instructions, and AIaugmented SDLC workflows.Ability to use AI tools while maintaining strong engineering judgment, code review rigor, validation discipline, data protection awareness, and quality accountability.Experience applying automation and AIdriven approaches to improve testing workflows, delivery processes, operational quality outcomes, and modernization initiatives.Excellent problemsolving, critical thinking, communication, and decisionmaking skills, with the ability to work independently in a fastpaced, teamoriented environment.Domain Industry: Understands brokerdealer domain capabilities and operations, with preferred experience in the financial services industry.Communication: Communicates clearly and effectively, with proven ability to guide and collaborate with engineers in a teamoriented environment.Execution Focus: Brings a collaborative mindset and bias for action, effectively partnering with developers, architects, product owners, and adjacent teams to drive outcomes.Preferred QualificationsExperience as a Software Development Engineer in Test on an Agile Scrum, Kanban, or scaled Agile team.Experience with performance, reliability, resiliency, chaos, observability, or productionreadiness testing for highvolume distributed platforms.Experience in the brokerage, banking, wealth management, capital markets, or broader financial services domain.Experience defining automation strategy, framework standards, coding guidelines, quality metrics, and release readiness criteria across multiple teams or platforms.Proficiency in creating automation design documentation, functional and technical validation notes, test process documentation, runbooks, and production or test environment documentation.Exposure to AIML implementation concepts, Large Language Models, agentic workflows, RetrievalAugmented Generation, or AIassisted quality engineering practices.Experience mentoring engineers or influencing teams on quality engineering, test automation, AIassisted SDLC adoption, and continuous improvement practices.TechnologyAgnostic ExpectationsThis role is not limited to a single programming language or technology stack. The candidate should be capable of applying quality engineering practices across modern enterprise platforms and adapting to the technology used by the team.The candidate should demonstrate depth in automation design, test strategy, validation rigor, CICD integration, and productionquality engineering rather than relying on one specific tool or framework.The candidate should be comfortable learning new tools, frameworks, cloud platforms, automation libraries, and AIassisted engineering workflows as business and platform needs evolve. Release Comments: Please use the below link to begin submitting Candidates.https:nam02.safelinks.protection.outlook.comurlhttps3A2F2Fprod.beeline.com2Fcharlesschwab3F7df8e68cc246439caa3a4fe512e86a0bdata057C027CBeeline.notifications40spectraforce.com7C10421ed843dd43f9eea208def25d2d637C4a97123b243c4e95bce94113dbd311217C07C07C6392146792666221967CUnknown7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ3D3D7C07C7C7CsdataKL8R26qcb06VG19HmsUkKuIs2FpyczmBMCfG37xUhkA3Dreserved0This email has been generated to notify you of account activity that has occurred within the Beeline application. Please review the details above for necessary action on your part, or click on the link provided to login to the application to review the activity.Please do not reply to this email. If you need assistance, please contact application support at 1866Beeline or supportbeeline.com.
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $7.25/hr - $80.00/hr.
