Software Engineer III - Pricing

Responsibilities:

• Partner with your business stakeholders to provide them with transparency, data, and resources to make informed decisions.
• Be a technical leader within and across the teams you work with.
• Drive high-impact architectural decisions and hands-on development, including inception, design, execution, and delivery, following good design and coding practices.
• Obsessively focus on production readiness for the team, including testing, monitoring, deployment, documentation and proactive troubleshooting.
• Identify risks and gaps in technical approaches and propose solutions to meet team and project goals.
• Create proposals and action plans to garner support across the organisation.
• Influence and contribute to the team's strategy and roadmap.
• Tenacity for learning - curious and constantly pushing the boundary of what is possible.

Requirements:

• 7+ years of experience in backend software engineering, architecting and implementing robust, distributed web applications
• Bachelor's degree in Computer Science, Computer Engineering or equivalent combination of education and experience
• Track record of technical leadership for teams following software development best practices (e. g., SOLID, TDD, GRASP, YAGNI, etc).
• Track record of being a hands-on developer efficiently building technically sound systems.
• Experience building web services with Java, REST, Microservices.
• Experience with Continuous Integration (CI/CD) practices and tools (Buildkite, Jenkins, etc. ).
• Build and optimise high-throughput, low-latency pipelines capable of executing real-time competitive pricing algorithms, markdown logic, and supplier cost changes.
• Own system boundaries, design clean API contracts, and ensure the pricing platform is highly available and resilient under peak traffic like Way Day or Black Friday.
• Experience architecting solutions leveraging distributed infrastructure (e. g., Docker, Kubernetes, etc. ).
• Experience leveraging monitoring and logging technologies (e. g., Datadog, Elasticsearch, InfluxDB, etc. ).
• Act as the technical bridge between backend engineers and Data Science/Analytics teams to integrate Machine Learning and statistical operations smoothly into the core pipeline.
• Mentor mid-level and junior engineers, lead rigorous code reviews, establish engineering best practices, and document durable architectural decisions.

Nice to have:

• Prior experience in ML model integrations with the systems.
• Good knowledge of ML science and Data pipelines.

Skills

Docker, Java, Kubernetes, Microservices