1 day ago
London, United KingdomSenior
Responsibilities
- Design and develop backend services, platforms, and RESTful APIs for trading and middle-office workflows.
- Build scalable, resilient, cloud-native applications and high-throughput, low-latency streaming solutions.
- Apply event-driven architectures, reactive programming, Domain-Driven Design, concurrency, multithreading, and JVM performance principles.
- Lead Data and AI applications from discovery and prototyping through evaluation, deployment, and production operation.
- Develop multi-agent workflows, MCP-based services, AI evaluation pipelines, and observability frameworks.
- Address technical debt, performance bottlenecks, resilience, operational performance, and production support needs.
- Contribute to architecture, engineering standards, product roadmaps, and long-term technology strategy.
- Provide technical guidance, coaching, and mentoring to other engineers.
- Collaborate with traders, risk professionals, operators, finance teams, product managers, UX designers, data engineers, and architects.
Requirements
- Strong software engineering fundamentals in object-oriented design, data structures, algorithms, and computational complexity.
- Validated experience designing and developing distributed, cloud-native applications.
- Strong proficiency in one or more of Java, C#, Python, Scala, or Go.
- Hands-on experience with GKE, OpenShift, EKS, AKS, or Cloud Foundry.
- Strong experience with Kafka, RabbitMQ, or ActiveMQ and event-driven messaging architectures.
- Experience designing and working with relational databases, particularly PostgreSQL or MySQL.
- Confirmed experience building high-throughput, low-latency streaming ingestion and processing solutions.
- Experience with reactive programming, Domain-Driven Design, distributed systems, concurrency, multithreading, network models, and JVM performance.
- Experience with TDD, BDD, CI/CD, code review, automated testing, and production system operations.
- Experience working in regulated or highly controlled enterprise environments involving security, privacy, data residency, compliance, and operational risk.
- Experience using AI-assisted engineering and developer tooling.
- Strong communication and collaboration skills with technical and non-technical customers.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
- Desirable experience includes energy or commodity trading, ETRM systems, trading and risk platforms, Actor Model, Event Sourcing, CQRS, AI/ML-enabled applications, agentic systems, AI observability, and mentoring or leading an engineering squad.
Benefits
- Flexible working options with a hybrid office/remote arrangement.
- Generous paid parental leave and retirement benefits.
- Reasonable accommodations are available for individuals with disabilities.
- No travel is expected for the role.
- The role is not eligible for relocation assistance.
Tech Stack
Categories
About BP
BP is a global, publicly traded energy company that explores and produces oil and gas, refines and markets fuels and lubricants (including the Castrol brand), and trades energy products for consumers and industrial customers. It also operates convenience and retail fuel networks and invests in EV charging (bp pulse), bioenergy, and wind and solar projects. Founded in 1909 and headquartered in London, it is listed on the London and New York stock exchanges.