Senior Software Engineer

Job summary

You will design and develop agentic QE orchestration tools and AI-enabled capabilities to improve engineering productivity and quality outcomes. You will also collaborate with cross-functional teams to integrate AI agents into testing frameworks and software delivery processes.

Job details

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful. When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: Senior Software Engineer – Agentic QE orchestration Role Summary Are you passionate about building intelligent software solutions and exploring how AI can transform the way engineering teams work? Sun Life's Enterprise Quality Engineering Platform (EQEP) is looking for a Senior Software Engineer to join the QEnovation Squad, the team responsible for the evolution of our agentic QE orchestration platform, orQEstra. This role focuses on designing and developing software solutions that enable AI-assisted testing, agentic workflows, engineering automation, and platform innovation. Working alongside engineers, product partners, and platform teams, you will help integrate AI capabilities into engineering processes while contributing to the future direction of quality engineering across the enterprise. This position is well suited for someone who combines strong software engineering fundamentals with hands-on experience applying AI technologies to solve real-world problems. As a Senior Software Engineer, you will be expected to contribute technical expertise, influence design decisions, and help advance emerging engineering practices while continuing to grow your own technical leadership capabilities. What You Will Do? Design, develop, test, and maintain software solutions supporting the team’s agentic QE orchestration tool Build and enhance AI-enabled capabilities that improve engineering productivity and quality outcomes. Design and implement agentic workflows that include augment testing, automation, and software delivery processes. Develop integrations between AI agents, engineering tools, testing frameworks, and platform services. Contribute to the evolution of AI-assisted testing capabilities and engineering automation solutions. Collaborate with cross-functional engineering teams to identify opportunities for platform improvements and innovation. Develop APIs, services, and applications using modern software engineering practices. Participate in technical design discussions and contribute ideas that improve platform architecture and engineering outcomes. Contribute to platform standards, reusable components, and engineering best practices. Support experimentation and proof-of-concept activities involving emerging technologies and AI-enabled solutions. Utilize Agile delivery practices and continuous feedback to iteratively improve platform capabilities. Share knowledge, collaborate with peers, and help foster technical growth across the team. Support platform users through troubleshooting, technical consultation, and enablement activities. What Do You Need to Succeed? Bachelor’s Degree, College Diploma, or equivalent practical experience in Computer Science, Software Engineering, Information Technology, or related field. 5+ years of experience designing, developing, and supporting software solutions within Agile delivery environments. Experience designing, building, integrating, or supporting AI agents, agentic workflows, and AI-enabled software solutions. Experience building developer tooling or integrations that leverage Large Language Models (LLMs), including IDE extensions, Model Context Protocol (MCP), tool-calling APIs, and prompt/context engineering. Strong proficiency in Python and experience developing software using modern programming languages such as Java, JavaScript, TypeScript, or C#. Experience designing and developing APIs, services, integrations, and automation solutions. Working knowledge of modern test automation frameworks such as Playwright, Bruno/REST, PyETL, JUnit, Jest, pytest, or xUnit, with the ability to generate, troubleshoot, and enhance automated tests programmatically. Experience with source control, branching strategies, and modern software delivery practices using Git-based workflows. Experience with PostgreSQL and modern data modelling principles. Experience working with cloud platforms and modern application deployment patterns. AWS experience is particularly relevant. Familiarity with containerization technologies such as Docker and container-based development environments. Strong analytical and problem-solving skills with the ability to navigate ambiguity and rapidly evolving technologies. Excellent communication, collaboration, and stakeholder engagement skills. Preferred Skills / Assets: Experience applying AI and agentic capabilities within testing, quality engineering, or software delivery workflows. Familiarity with agent governance, evaluation frameworks, observability, and responsible AI practices. Experience with workflow automation, engineering productivity platforms, and developer enablement tooling. Experience supporting technology adoption through communities of practice, onboarding, coaching, or enablement activities. Why Join QEP (Quality Engineering Platform) ? QEP is actively exploring how AI and agentic technologies can reshape quality engineering, testing, and software delivery. The QEnovation Squad is responsible for evolving orQEstra and helping engineering teams adopt new ways of working that improve productivity, quality, and innovation. This role provides an opportunity to work at the intersection of software engineering, AI, and platform development while helping define the next generation of engineering capabilities. What’s in it for you? Being a member of the Sun Life family, a group of people united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives. An environment of continuous learning, development, and improvement. Internal mobility is supported by leaders who are dedicated to fueling your professional growth. As a hybrid organization, you and your leader use business and Client needs to choose where you work, at home or in the office. The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results. Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds. Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to thebrightside@sunlife.com. We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you. We may use artificial intelligence to support candidate sourcing, screening, interview scheduling. We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted. Salary Range: 90,000/90 000 - 140,000/140 000 Job Category: IT - Application Development Posting End Date: 09/10/2026

What you’ll do

You will design and develop agentic QE orchestration tools and AI-enabled capabilities to improve engineering productivity and quality outcomes. You will also collaborate with cross-functional teams to integrate AI agents into testing frameworks and software delivery processes.

Requirements

The role requires a bachelor's degree in a technical field and at least 5 years of experience in software engineering within Agile environments. Candidates must have hands-on experience with AI agents, LLMs, and modern programming languages like Python, Java, or TypeScript.

Benefits

• Continuous learning and development • Internal mobility opportunities • Hybrid work environment • Incentive plans

Listed skills

• PostgreSQL · Preferred
• Docker · Preferred
• JavaScript · Preferred
• Agile · Preferred
• TypeScript · Preferred
• Amazon Web Services · Preferred
• Java · Preferred
• C++ · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Java
• JavaScript
• TypeScript
• C#
• AI agents
• Agentic workflows
• Large Language Models
• API development
• Test automation
• Playwright
• PostgreSQL
• AWS
• Docker
• Agile
• Software engineering
• Tool Calling
• Influencing Skills
• Playwright (Software Testing)
• Software Solutions
• Large Language Modeling
• Continuous Development
• Responsible AI
• Influencing Without Authority
• Jest (JavaScript Testing Framework)
• Observability
• Workflow Management
• Platform Design And Development
• Git (Version Control System)
• Emerging Technologies
• Workflow Automation
• Technical Leadership
• Talent Sourcing
• Context Engineering
• Technical Design
• Programming Languages
• AI Agents
• Application Deployment
• Model Context Protocol (MCP)
• Java (Programming Language)
• JavaScript (Programming Language)
• Application Programming Interface (API)
• Agile Methodology
• Artificial Intelligence
• Amazon Web Services
• Application Development
• Software Development
• Automation
• Test Automation
• C# (Programming Language)

Job areas

• Software
• Technology
• Engineering
• Data & Analytics
• Software Engineer
• Software Developer / Engineer
• Software Developers