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 organizations fight financial crime! We are building cutting-edge solutions that help reveal the truth for a safer world and stop money from ending up in the hands of criminals.
As a Software Engineer, you will:
- Write new features that enable orchestration of complex workflows in our platform as well as large scale data migrations
- Join one of our scrum teams and help us make the right technical and architectural decisions as we evolve and scale our systems. As a team member, we will look to you to sometimes take a lead in these discussions and bring your own ideas as well as solicit and incorporate ideas from others in the team
- Write tests, and take ownership of the systems that ensure the quality of our cod
- Be working alongside our ML engineers, data scientists, and other software engineers within the tribe
Our Tech Stack:
- Our technology stack is designed to run on public cloud architectures, notably AWS and GCP
- Development is organised around Kotlin and Python for our backend languages and TypeScript/ES6+React for our frontend stack
- We make substantial use of relational database technologies, notably Postgres and also use of large scale noSQL technologies such as Cassandra
- We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol
- For our data and AI teams, experience of machine learning development and very large scale columnar data stores (e.g. Apache HBase, Databricks) is key, as well as experience of large scale data streaming technologies such as Apache Spark, graph databases (e.g. Neo4j, AWS Neptune, TigerGraph)
- We use modern observability solutions built on Grafana Cloud, and deploy our code using ArgoCD
About you:
As a Software Engineer, you will have
- At least 2 years experience writing production-grade Kotlin or Java based applications
- Awareness of a range of languages and paradigms, with the ability to share knowledge
- Experience with high scale applications such as APIs dealing with large request volumes, or data processing pipelines
- Experience with containerisation and cloud infrastructure
- Ownership of software from idea inception to production
- Experience working with tooling for testing, build and deployment pipelines (setting it up is a plus)
- Working understanding of logging, monitoring and alerting tooling (setting it up is a plus)
- Good communication and written skills including experience producing technical documentation
Nice to haves
- It would be nice if you had experience working in a multi-disciplinary team (ML Engineers, SREs, Product)
- Worked in an agile environment and have experience in pair programming
Education:
- BSc/BA degree in computer science, engineering or related discipline OR relevant years of experience in required skills.
What's in it for you?
- Equity as we want you to have a part of what we are building
- 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
The base salary range for this role is 48000 - 60,000 EUR + equity and benefits. The actual pay may vary based on factors such as location, experience, and skills.
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.
