Summary
✨ AI‑Generated
Join a long-term enterprise engineering project building mission-critical backend services for complex financial workflows. You will design and implement production-grade Python services and microservices within a distributed, cloud-enabled and containerized architecture. The position involves collaboration with architects, QA, DevOps, and business stakeholders, along with opportunities to shape engineering practices and mentor colleagues.
Highlights
Long-term enterprise project involving mission-critical backend services in a regulated financial environment. The role provides opportunities to influence technical direction, work with cross-functional engineering teams, and build scalable, secure, resilient systems.
Description
Project description
You will join a long-term, enterprise-scale project for a global client in the investment banking domain.
The project focuses on building and evolving a set of mission-critical backend services that support complex business workflows, regulatory processes, and system integrations across the bank's ecosystem.
The platform is based on a distributed microservices architecture, leveraging Spring Boot, event-driven communication, and BPM-driven process orchestration.
The system operates in a cloud-enabled, containerized environment, with a strong emphasis on security, scalability, resiliency, and maintainability.
You will work closely with architects, QA engineers, DevOps, and business stakeholders in an agile setup, contributing not only code but also technical direction, best practices, and mentoring.
Responsibilities
The Python Engineer's role is to design and implement scalable, production-grade backend systems and microservices.
The person we are looking for should be able to develop clean, maintainable codebases, build and scale distributed services, implement well-known communication and integration patterns, and apply best practices for large-scale distributed systems.
Skills
Must have
At least 8+ years practical experience in Python development and delivering production systems.Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.g., FastAPI, AsyncIO)Solid understanding of API integration patterns and inter-service communication (e.g., REST, Kafka)Experience with authentication and authorization mechanisms (e.g., OAuth2, JWT, Microsoft EntraId)At least two backend/data-intensive solutions successfully delivered to production, ideally involving high-throughput APIs, data pipelines, or search/retrieval systemsPractical knowledge and hands-on experience with: Relational and NoSQL databases (e.g., PostgreSQL, MongoDB), caching layers (e.g., Redis), message queues, and containerization (Docker, Kubernetes)Strong grasp of software engineering fundamentals: data structures, algorithms, concurrency, asynchronous programming, and API design (REST/gRPC)Solid understanding of testing practices: unit, integration, and end-to-end testing (e.g., pytest), plus CI/CD pipelinesAbility to evaluate trade-offs and select appropriate tools, frameworks, and architectural patterns for a given problemExperience with PoC development and iterating quickly based on resultsFamiliarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-codeStrong debugging, profiling, and optimization skills for high-performance Python applicationsNice to have
Experience with observability and monitoring tooling (e.g., Prometheus, Grafana, OpenTelemetry)Experience with event-driven and streaming architectures
Languages
English: B2 Upper Intermediate
