Elliptic
Financial Technology
SeniorBackendEngineer
“Senior Backend Engineer at Elliptic. Skills: Backend services, Distributed systems, Event-driven architecture, AI fluency. Design and build backend services. Deliver personalised intelligence to customers”
What You'll Achieve.
Deliver meaningful contributions to the Real-time Risk platform; Demonstrate clear technical ownership; Build confidence across codebase and architecture; Understand sanctions screening end-to-end; Articulate engineering challenges and opportunities
Industry & Context.
Solve real customer problems; Pragmatic approach to complexity
Option to work from almost anywhere for up to 90 days per year
What They're Looking For.
Must Have
5+ years of professional software engineering experience building and operating production backend systems, TypeScript/Node.js experience, Proven experience working with complex event-driven, streaming, or queue-backed architectures (e.g. Kinesis, Kafka, SQS, or similar) in a production environment, Solid understanding of distributed systems trade-offs: consistency, availability, latency, and failure modes, Experience working with NoSQL and caching technologies, A track record of contributing to technically complex codebases, AI fluency: actively use AI tools to accelerate work and demonstrate application in engineering contexts
Nice to Have
Experience with Java, Scala, or another multi-threaded, JVM-based language, Familiarity with Redis or similar in-memory data stores, particularly for caching and low-latency reads, Experience with EVM-compatible blockchains or crypto compliance domains, OpenSearch/Elasticsearch experience, particularly around index design and schema migrations
What You'll Do.
Design and build backend services
Deliver personalised intelligence to customers
Contribute to sanctions reporting infrastructure
Resolve performance bottlenecks
Take ownership of complex areas
Raise technical quality
Translate compliance requirements
How You'll Work.
Team & Collaboration
Work closely with data engineering counterparts; Partner closely with data engineering; Collaborate with product, data, and engineering stakeholders
Communication Scope
Communicate architectural thinking clearly
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