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About the Role

We are seeking a Senior Engineer to lead the development of next-generation AI-powered testing and quality engineering solutions across the Tricentis product suite. This role involves shaping the future of AI in software testing, from intelligent test generation to autonomous validation, acting as both a technical leader and hands-on contributor.

Responsibilities

• Contribute to AI-focused engineering initiatives, delivering high-quality implementations using Spec driven development.
• Participate in the architecture and development of AI-driven testing capabilities.
• Share knowledge through code reviews, design discussions, and team collaboration.
• Make sound engineering decisions balancing performance, cost, scalability, and customer value.
• Collaborate with Product Management and Design to translate customer needs into AI-powered features.
• Contribute to internal knowledge sharing around AI.
• Design and implement LLM-powered solutions for next-generation software quality solutions.
• Participate in experimentation to validate new AI-driven testing approaches.
• Contribute to testing strategies for AI systems, including model evaluation, benchmarking, regression detection, and reliability/explainability validation.
• Ensure high-quality implementation through code reviews and adherence to best practices.
• Partner with domain experts to optimize testing solutions for complex business applications.
• Contribute to improvements in DevOps integration and continuous testing pipelines.

Requirements

• 4+ years of demonstrated work experience building production-grade software using Python.
• 3+ years of experience designing and deploying AI/ML or LLM-based solutions in production.
• Hands-on experience with AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code).
• Strong knowledge of Generative AI and LLM ecosystems.
• Strong knowledge of Agent-based systems (A2A) and orchestration frameworks.
• Strong knowledge of emerging standards such as Model Context Protocol (MCP).
• Proven track record of delivering systems that balance innovation with reliability and maintainability.
• Strong expertise in software engineering best practices, including architecture patterns and distributed systems.
• Strong expertise in CI/CD and DevOps integration, especially in continuous testing contexts.
• Strong expertise in automated testing strategies and quality engineering principles.
• Experience building and scaling data pipelines and AI-powered platforms.
• Strong understanding of security, privacy, and compliance in AI-driven systems.
• Experience with containers and orchestration (Docker, Kubernetes).
• Ability to troubleshoot complex AI production issues, especially in large-scale enterprise environments.
• Experience with cloud platforms (Azure preferred, AWS/GCP acceptable).
• Excellent communication skills with the ability to explain AI concepts to technical and non-technical stakeholders.
• Strong collaborator across engineering, product, and customer success teams.
• Familiarity with enterprise application ecosystems (e.g., SAP, Oracle, Salesforce) is a plus.
• Familiarity with Vector databases and retrieval-augmented generation (RAG) is a plus.
• Familiarity with AI evaluation and observability frameworks is a plus.
• Familiarity with Test management platforms (e.g., Jira integrations) is a plus.
• Background working on enterprise SaaS platforms is a plus.
• Exposure to AI-driven DevOps or continuous testing ecosystems is a plus.
• Must be authorized to work in the U.S. without current or future sponsorship.

Skills

• Python
• AI/ML
• LLM
• Generative AI
• Agent-based systems
• Orchestration frameworks
• Model Context Protocol (MCP)
• CI/CD
• DevOps
• Automated testing
• Quality engineering
• Data pipelines
• AI-powered platforms
• Security
• Privacy
• Compliance
• Docker
• Kubernetes
• Azure
• AWS
• GCP
• Vector databases
• Retrieval-augmented generation (RAG)
• AI evaluation
• Observability frameworks
• Test management platforms
• Enterprise SaaS platforms
• AI-driven DevOps
• Continuous testing

Location

• Austin, Texas

Work Type

• Hybrid

Experience Level

• Senior
• 4+ years of software engineering experience
• 3+ years of AI/ML or LLM experience

Benefits

• Competitive compensation
• Benefits
• Career growth opportunities

About the Company

• Tricentis is a global leader in AI-driven, codeless software testing and quality engineering, empowering enterprises to accelerate digital transformation while reducing risk.
• Trusted by over 3,000 customers—including organizations like T-Mobile and Allianz—Tricentis delivers innovative solutions such as Tosca, qTest, Testim, and SAP Test Automation to enable continuous, intelligent testing at scale.
• Our mission is to redefine how software quality is achieved by leveraging AI, model-based testing, and codeless automation to make testing faster, smarter, and more accessible.
• Tricentis is a global leader in continuous testing and quality engineering.
• The Tricentis AI-based, continuous testing portfolio of products provide a new and fundamentally different way to perform software testing.
• An approach that’s totally automated, fully codeless, and intelligently driven by AI.
• It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality.
• Widely credited for reinventing software testing for DevOps, cloud, and enterprise applications, Tricentis has been recognized as a leader by all major industry analysts, including Forrester, Gartner, and IDC.
• Tricentis has more than 3,000 customers, including the largest brands in the world, such as McKesson, Allianz, Telstra, Dolby, and Vodafone.

Equal Opportunity

• Tricentis is proud to be an equal opportunity workplace. Qualified applicants will receive consideration for employment without regard to race, color, ethnicity, gender, religious affiliation, age, sexual orientation, socioeconomic status, or physical and mental disability and other statuses protected by law.
• We comply with all applicable global sanctions and export control laws. Candidates must not be listed on any government restricted party lists (including OFAC SDN List and U.S. Commerce Department restricted lists) and must certify that their employment would not violate any sanctions or export control regulations. Candidates must notify us of any changes to their status during the application process or subsequent employment.