Junior Software Engineer

We are looking for driven, talented Junior Software Engineers to help us build our SaaS-based anti-money laundering solutions, which help organizations fight financial crime! We are building solutions that help reveal the truth for a safer world and stop money from ending up in the hands of criminals. 

• Be working alongside other software engineers within the Team.
• Write new features that enable our platform to analyse information about individuals, apply ML models to categorize their actions, and merge all this with existing data we hold. Your work will allow our customers to find out who has done something bad, what they did, and when.
• Help us deliver new features and maintain our platform as we apply new technologies and scale our systems.  
• Learn quickly and be able to adopt the technologies we use to develop code and deploy it to Kubernetes.  
• Contribute to sprint planning and be able to demo the features you’ve worked on to stakeholders.
• Be responsible for the quality of your code and will be expected to write tests and take ownership of systems that ensure the quality of our code.
• Adopt best practices (and be able to suggest improvements to them), to get code from initial requirements to deployed services in production.

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP. 
• Development is organized around Kotlin for our backend services. 
• We make substantial use of relational database technologies, notably Postgres, and also use of  a distributed SQL database as Yugabyte.
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol.
• We use modern observability solutions built on Grafana Cloud, 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.

As a Junior Software Engineer, you will have:

• Motivated in writing production-grade applications and in writing unit tests and understand the importance of testing
• Interested in working with large scalable systems 
• It would be nice if you had exposure working in a multi-disciplinary team (ML Engineers and Product)
• Fascinated by working in cloud (AWS/Azure/GCP) or containerized infrastructure (Kubernetes/Docker/Jenkins) would be great;
• Want to explore an agile environment and understand how valuable pair programming is to Engineering practices.

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.