Digital Factory - Backend Software Engineer - Supervising Associate
Job description
Build a Better Working World with EY Digital Factory
At EY, we’re committed to shaping the future with confidence. As part of our Digital Factory team, you’ll work at the intersection of technology and innovation, helping to deliver cutting-edge solutions that transform businesses globally.
This is your opportunity to take on a leadership-oriented technical role, guiding backend engineering practices while remaining hands-on in building secure, scalable, and reliable services that power EY’s digital platforms.
The Opportunity
As a Supervising Associate Backend Engineer, you will:
- Lead the design and development of APIs, data access layers, and integrations.
- Mentor junior engineers and contribute to technical decision-making.
- Collaborate with Product, Architecture, Frontend, and Data teams to deliver high-quality solutions.
- Drive best practices in coding, security, and observability across the team.
What We’re Looking For
- Agility and Growth Mindset: Ability to adapt and thrive in a fast-paced environment.
- Technical Leadership: Experience guiding teams and influencing architecture decisions.
- Collaboration and Inclusivity: Building trust and fostering diverse perspectives.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
- 7+ years of professional experience in backend development, with at least 1 year in a leadership or mentoring capacity.
- Expertise in building backend services and APIs using .NET/C# or Python.
- Strong knowledge of relational and NoSQL databases (PostgreSQL, SQL Server, MongoDB).
- Hands-on experience with CI/CD pipelines, automated testing, and code reviews.
- Working knowledge of Azure Cloud, containerization (Docker), and orchestration (Kubernetes).
- Familiarity with messaging and event streaming (Kafka, RabbitMQ, Azure Service Bus).
- Solid understanding of security fundamentals and observability practices.
Preferred Skills
- Experience with microservices, DDD, CQRS, and event-driven architectures.
- Exposure to GraphQL, gRPC, API gateways.
- Performance optimization and caching strategies (Redis).
- Background in regulated environments or financial services.
- Familiarity with Infrastructure as Code (Terraform/Bicep).
- Proven ability to lead distributed teams and drive technical excellence.
Key Responsibilities
- Technical Leadership: Guide design reviews, mentor team members, and enforce coding standards.
- Service & API Development: Architect and implement robust APIs and backend services.
- Quality & Reliability: Ensure high test coverage, implement CI/CD, and maintain observability.
- Security & Compliance: Apply secure coding practices and support audits.
- Continuous Improvement: Drive automation, reduce operational toil, and improve developer experience.
What’s in It for You
- Accelerate your technical and leadership capabilities through EY’s learning programs.
- Collaborate with global teams in a diverse and inclusive environment.
- Access continuous investment in your well-being and career development.
- Shape the future of digital innovation at EY.
Recruitment Process
- HR Screening
- Technical Interview
- Leadership Interview
Ready to lead and innovate? Apply today.
To ensure an inclusive recruitment experience, please share any disability-related adjustments you may need.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all information provided must be accurate.