Role overview
Skills & Experience
- 5+ years of professional software development experience.
- Deep expertise in Python
- Strong understanding of software architecture, design patterns, and principles (e.g., SOLID, microservices, event-driven architectures)
- Experience with AI tools, frameworks, platforms, and their application in software delivery
- Experience with cloud platforms (especially AWS services), containerization and orchestration (Docker, Kubernetes)
- Hands-on experience with CI/CD pipelines and automated testing frameworks
- Familiarity with databases (SQL and NoSQL) and data modelling
- Fluency with XP practices: TDD, pair programming, continuous integration, refactoring
- Working knowledge of security principles (secrets management, least privilege)
What would you do here
Key Responsibilities
Software Development & Technical Contribution
- Write, review, and own production-quality code as an active contributor to the team's codebase; this is a technical, hands-on role
- Champion the use of AI-first software delivery approaches, leveraging AI tools and frameworks to enhance development efficiency, automate repetitive tasks, and improve decision-making
- Advocate for and implement modern engineering practices, such as Continuous Integration & Continuous Delivery (CI/CD) and Infrastructure as Code (IaC)
- Contribute to architectural decisions at the team and system level, balancing pragmatism with long-term maintainability
Delivery & Collaboration
- Help break down complex technical work into well-scoped, deliverable increments
- Contribute as a strong technical contributor within the team, supporting technical discussions and decisions, collaborate with cross-functional teams, including QAs, product owners, architects, designers, and program management to clarify requirements, surface constraints, and align technical solutions with business goals
- Work closely with the Architecture Advice Forum through Architecture Decision Records (ADRs) to contribute to cross-team technical strategy, championing evolutionary architecture principles
- Remove technical blockers and escalate risks early to protect team delivery commitments
- Balance delivery pace with technical health — advocating for investment in test coverage, refactoring, and debt reduction
Quality & Engineering Excellence
- Champion test-driven development (TDD), behaviour-driven development (BDD), and automated testing at all levels
- Collaborate with platform teams to establish CI/CD pipelines and automate deployment processes
- Contribute to the design and implementation of Infrastructure as Code using tools like Terraform to automate infrastructure provisioning and management
- Ensure robust monitoring, logging, and alerting systems are in place to maintain system reliability and performance
- Promote security-by-design and advocate for responsible handling of data and infrastructure
Communication and Stakeholder Engagement
- Effectively communicate technical concepts, challenges, and solutions to both technical and non-technical audiences
- Participate in cross-functional discussions with stakeholders
- Build trust with internal stakeholders through transparency about risk, progress, and technical decisions
