Staff Software Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Software Engineer (Java/Kong): Designing and operating the API Gateway and authentication layer for the Edge platform with an accent on security, scalability, and high availability. Focus on building secure OAuth2/OIDC flows, implementing Kong Lua plugins, and integrating GenAI features into the platform.
Location: Hybrid - London, United Kingdom (minimum 3 days in office)
Company
is a world leader in payments technology, facilitating transactions between consumers, merchants, and financial institutions across more than 200 countries.
What you will do
- Design and maintain Edge platform components including Kong API gateway (Lua plugins) and Java/Spring Boot microservices.
- Implement secure authentication and authorization services using OAuth2/OIDC and mutual TLS.
- Lead code reviews, enforce coding standards, and mentor teammates on API gateway patterns and Java.
- Develop and iterate on GenAI and agentic features from proof-of-concept to production using guardrailed AI tooling.
- Own observability via Datadog and manage on-call incident response for the critical API path.
- Translate functional requirements into robust system designs and technical solutions.
Requirements
- 5+ years of relevant work experience with a Bachelor’s degree (or 8+ years without).
- Strong Java backend engineering skills (Java 17+, Spring Boot).
- Demonstrable experience with API gateway technology (Kong, NGINX, Apigee) and HTTP/REST/JWT/OAuth2 fundamentals.
- Experience with Kubernetes and service mesh concepts (Istio/Envoy preferred).
- Must be based in or able to work from the London office at least 3 days a week.
- Ability to work with emerging Generative AI tools (Claude Code, ChatGPT, Copilot) to support everyday work.
Culture & Benefits
- Opportunity to create impact at scale within a global fintech leader.
- Collaborative environment working with cross-functional teams.
- Exposure to cutting-edge technologies including Generative AI.
- Commitment to EEO and diversity in the workplace.
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