Senior Software Engineer - Quality Engineering

Let's talk about the role

We are seeking a Senior Software Enginer to provide technical leadership and hands-on delivery across quality engineering platforms and AI-enabled engineering practices. This role focuses on building scalable, reliable automation and agentic AI workflows that improve delivery efficiency, release confidence, and decision-making—while ensuring solutions are traceable, auditable, and suitable for quality‑sensitive and regulated environments. 

This role is critical to sustaining core engineering capabilities while enabling the next phase of AI‑driven transformation across testing, automation, and quality practices. 

Let's talk about Responsibilities 

• Provide technical leadership across architecture and design discussions, ensuring alignment with engineering standards and business goals. 

• Design, build, and evolve scalable test automation platforms and engineering enablement tooling. 

• Solve engineering challenges with innovative solutions involving software, hardware, AI. 

• Develop AI‑driven workflows that safely orchestrate tools, code, and data to accelerate engineering outcomes while maintaining trust, traceability, and evidentiary integrity. 

• Establish data‑driven quality intelligence pipelines that support risk‑based testing, release readiness, and reduced defect leakage. 

• Build and maintain reliable test execution and CI/CD integrations to improve speed, repeatability, and delivery confidence. 

• Collaborate with engineering, product, and quality stakeholders to embed quality and AI‑enabled practices early in the delivery lifecycle. 

• Mentor engineers and uplift standards through reusable patterns, reference implementations, and technical coaching. 

• Drive measurable efficiency improvements and cost optimization by reducing manual work and improving automation reliability and reuse. 

• Conducts software and end-to-end system testing and develops the associated test documentation to ensure product quality and compliance with requirements. 

Qualifications and Experience 

Required Skills 

• Computer Science, Engineering or Science degree or equivalent experience with 8+ commercial experience.  

• Senior software engineering experience delivering production grade platforms, frameworks, or internal tooling. 

• Strong hands-on programming experience in Python, Java and modern engineering practices (testing, clean design, code review, CI/CD). 

• Practical experience applying AI/LLMs to real engineering workflows (automation, analysis, evaluation, or decision support). 

• Proven ability to lead technical design discussions and deliver solutions end-to-end. 

• Experience building solutions that support traceability, auditability, and quality assurance expectations. 

• Strong communication skills, able to translate complex technical concepts into pragmatic, value driven outcomes. 

• Good understanding of cloud networking concepts 

• Strong problem-solving skill 

• AWS, Terraform, Container Tooling – Docker 

Preferred Skills

• Experience with agentic AI (Examples: tool using AI agents, orchestration, retrieval‑augmented generation, evaluation frameworks, test generation, intelligent regression, self‑healing automation etc.). 

• Experience with modern test automation frameworks (e.g., browser/API automation). 

• Experience with cloud‑based data or ML platforms and operationalizing ML/AI solutions. 

• Experience with AI architecture, MLOps, and governance pattern 

• Familiarity with integrating AI into developer workflows and CI/CD pipelines. 

Why This Role Matters 

This role directly shapes how quality and engineering excellence scale in an AI‑enabled future—balancing speed, innovation, and reliability. You’ll work at the intersection of automation, AI, and engineering leadership, building systems that deliver real, measurable impact across teams and products.