Senior Software Engineer at ComplyAdvantage

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

21 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Kotlin, TypeScript, React, AWS, GCP, Postgres, Cassandra, Spark, Kafka, gRPC, Machine Learning, Data Processing, Cloud Platforms, Microservices, Observability

Industry

Software Development

Description

What you will be doing: We are looking for driven, talented Senior Software Engineers to help us build our SaaS-based anti-money laundering solutions, which help organizations 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 any experience of other languages would be helpful. 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, and 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, 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 Write new features that enable our platform to understand articles in media, extract information about entities, apply ML models to categorize 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 prioritization 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 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 strive to ship the best possible code and the best possible solutions to our customers. About you: Experience building scalable backend applications (preferably with Python). A track record of working in multi-disciplinary teams alongside Data Scientists, ML Engineers, and Product Managers. Hands-on experience with cloud platforms (AWS, Azure, or GCP) or with containerized infrastructure (e.g., Kubernetes, Docker, ArgoCD, Argo Workflows). Strong communication skills and a collaborative mindset, with the ability to contribute to system design discussions and mentor more junior engineers. Nice to have: Experience working with PySpark or other distributed data processing frameworks. Background in building data-intensive applications or distributed systems using map-reduce style architectures. Experience maintaining and scaling machine learning-powered applications in production environments. Familiarity with event-driven or microservice architectures. What’s in it for you? Equity as we want you to have a part of what we are building Private medical insurance designed to keep you ensuring peace of mind while you excel in your career Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships You will also get a new starter budget to kit out your home office Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve Annual learning budget (prorated based on start date) to drive your performance and career development About us: Our mission is to empower every business to eliminate financial crime. By harnessing AI, a unified platform, and an extensive partner ecosystem, we help customers turn compliance into a catalyst for growth, operational resilience, and enduring regulatory trust. More than 3,000 enterprises across 75 countries rely on our end-to-end platform and the world’s most comprehensive financial crime risk intelligence. With full-stack agentic automation, we help organizations automate up to 95% of KYC, AML, and sanctions reviews, cut onboarding times by 50%, reduce false positives by 70%, and handle 7x more work with the same staff. ComplyAdvantage is headquartered in London and has global hubs in New York, Lisbon, Singapore, and Cluj-Napoca. It is backed by Balderton Capital, Index Ventures, Ontario Teachers’ Pension Plan, Goldman Sachs, and Andreessen Horowitz. Learn more about compliance re-engineered for the age of AI at complyadvantage.com.

Responsibilities

As a Senior Software Engineer, you will build data-centric pipelines and systems around a knowledge graph to develop anti-money laundering solutions. You will collaborate with ML engineers and data scientists to enhance the platform's capabilities and ensure code quality.