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What you will be doing We are looking for driven, talented Software Engineers to help us build our SaaS-based anti-money laundering solutions, which help organisations fight financial crime. The data driven nature of the role and the prominence of Python in the data and ML ecosystem means you will primarily work in Python but we are looking for an engineer that is also comfortable working in other strongly typed languages where required. We are building cutting edge solutions that help prevent money flowing to and from bad actors to create a safer world. Your work will allow our customers to find out who is associated with crimes, financial and political risks, what that association is, when it occurred, and it will dynamically update their state as new information emerges across a huge range of sources. As a Senior Software Engineer in the data tribe, you will: Be working alongside our ML engineers, data scientists and other software engineers within the tribe. Build data centric pipelines and the system around our knowledge graph to build the next generation AML solution. Trigger pipelines from and surface results as event streams over Kafka that scale efficiently and independently while minimising latency. Write new features that enable our platform to understand articles in media, extract information about entities, apply ML models to categorise their actions, and merge all this with existing data we hold. Be responsible for the quality of your code. Write tests, and take ownership of the systems that ensure the quality of our code. Learn quickly and be able to adopt the technologies we use to develop code and deploy it. Contribute to planning and to the right technical decisions, work with Product on the prioritisation and the scoping of the team’s work and be able to demo the features you’ve worked on to stakeholders. Adopt best practices (and be able to suggest improvements to them), to get code from initial requirements to deployed services in production. About you Skills you will be required to have: We understand that some people have a passion for software engineering that predates their formal careers so exceptional engineers with 5+ years of experience may be considered, but 8+ years of experience would typically be preferred. Experience writing production grade applications. Experience writing tests and understand the importance of testing. Experience working with large scalable systems and data intensive pipelines (preferably Spark/Kafka). Experience working in an agile environment and pair programming. Experience working on the cloud (AWS/Azure/GCP) and/or using containerised infrastructure (Kubernetes/Docker) although the infrastructure itself will be provided by an SRE team. Other skills which would be advantageous: Experience working in a multi-disciplinary team of Data Scientists, ML Engineers, SREs and product managers. Experience working with knowledge graphs or graph databases. Experience with relevant machine learning techniques and graph algorithms. Our Tech Stack Our technology stack is designed to run on public cloud architectures, notably AWS and GCP. We use Python and Kotlin in the backend and TypeScript, ES6 and React in the frontend. We make substantial use of relational database technologies, notably Postgres, large scale noSQL technologies such as Cassandra, as well as Spark and cloud based object stores for big data processing. We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol. Our data and AI teams use a wide range of machine learning libraries, large scale hybrid columnar data stores such as Databricks, Spark for stream and big data processing in combination with Kafka, as well as some graph databases. We use modern observability solutions (such as Datadog or Grafana) and deploy our code using ArgoCD. We have a strong emphasis on engineering excellence and have adopted a Kaizen culture to continually improve how we deliver and ensure we ship the best possible code and solutions to our customers.At ComplyAdvantage diversity fuels our rocket ship and our commitment to inclusion across race, gender, age, religion, identity and experience drives us forward every day. We encourage everyone to apply and aspire to consider every application fairly. We will handle your information in accordance with our Privacy Policy. For further information, please click here.
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