ComplyAdvantage provides AI-driven detection and risk intelligence to help businesses identify and prevent money laundering, fraud, sanctions evasion, and other financial crimes. The company delivers…
ComplyAdvantage provides AI-driven detection and risk intelligence to help businesses identify and prevent money laundering, fraud, sanctions evasion, and other financial crimes. The company delivers…
What they do: AI-driven financial-crime risk data and detection platform (screening, transaction monitoring, payments analysis)
Headquarters / founding: Founded in London in 2014
Customers / scale: Serves hundreds of financial institutions and enterprises (company-reported 500+ / 1000+ referenced)
Funding: Multiple venture rounds; reported total funding around USD 108.2M
Company Overview
Problem Domain
Anti-money laundering (AML), counter-financing of terrorism (CFT), sanctions screening, financial-crime detection and compliance.
Founded
2014
Industry
Software Development
Funding Track Record
Series A- 2016-10-13
8200000
Series A announced October 13, 2016
Series B- 2019-01-30
30000000
Series B announced January 30, 2019
- 2020-07-28
50000000
Announced July 28, 2020 (reported $50M round to expand AI platform and database)
Investor Signal
“Backed by institutional and venture investors including Balderton Capital, Index Ventures, Ontario Teachers’ Pension Plan, Goldman Sachs Asset Management, and Andreessen Horowitz”
Founders
What we do
Join the Team
Senior Reliability Engineer (Data Infrastructure)
On-SiteLisbon, PT
On-Site • Lisbon, PT
What you will be doing:
We are seeking a highly skilled Senior Site Reliability Engineer (SRE) to join our Data Infrastructure team. You will be responsible for ensuring the reliability, availability, and performance of our critical data systems running on AWS and GCP. Your expertise in cloud infrastructure, automation, and operational excellence will be crucial in supporting our Product trough our global client base.
As a Senior Site Reliability Engineer you will:
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Design, implement, and maintain highly available and reliable data infrastructure services, including SQL, NoSQL, Kafka, and Spark-based data layers. Define and monitor Service Level Objectives (SLOs) and Service Level Agreements (SLAs).
Participate in an on-call rotation to respond to incidents and ensure rapid resolution of production issues. Conduct thorough post-incident reviews to identify root causes and implement preventative measures.
Manage and automate cloud infrastructure using Terraform and Helm, adhering to GitOps principles.
Implement and maintain comprehensive monitoring, logging, and tracing solutions to proactively identify and resolve performance and reliability issues.
Monitor and manage data infrastructure capacity, plan for future growth, and optimize performance through tuning and automation.
Develop and maintain automation scripts and tools to streamline operational tasks, improve efficiency, and reduce manual effort.
Ensure the security and compliance of data infrastructure services, implementing best practices for access control, data protection, and vulnerability management.
Collaborate with development and data engineering teams to ensure smooth deployments and operational support. Maintain thorough documentation of infrastructure configurations, processes, and procedures.
Manage and maintain distributed databases running within a Kubernetes environment.
Our Tech Stack:
Cloud-Based Infrastructure: Fully cloud-based with a Kubernetes-focused tech stack. Compute workloads run in Kubernetes clusters across multiple regions.
Infrastructure Management: Heavy use of Terraform and Helm, adhering to GitOps paradigms for managing cloud infrastructure and Kubernetes applications.
Core Technologies: Extensive use of Kafka, distributed PostgreSQL and Cassandra QL, Elasticsearch, and Databricks/Spark. Development of inter-cloud failover options to support multi-cloud plans.
Wide Array of Applications: Teams build and release containerised applications for low latency APIs, machine learning models, and data processing pipelines.
About You:
Experience as an SRE managing cloud infrastructure (AWS and/or GCP) and data systems (Apache Kafka, Apache Spark, Elasticsearch, PostgreSQL, Cassandra). Proven track record of improving reliability and availability in complex production environments.
Extensive experience codifying infrastructure using Terraform and Helm charts.
Proven experience managing and troubleshooting distributed databases within Kubernetes.
Deep understanding of monitoring, logging, and tracing tools and techniques.
Strong incident response and troubleshooting skills.
Proficiency in scripting and automation tools.
Understanding of security best practices for cloud infrastructure and data systems.
Familiarity with CI tooling, test pipelines, and asset generation (e.g., Docker images, Helm charts). Understanding of security considerations in data systems.
Education:
BSc/BA degree in computer science, engineering, or related discipline OR equivalent experience in required skills.
Nice to have
Familiarity with distributed SQL and NoSQL databases such as Yugabyte, Cockroach, Spanner, HBase, or CouchDB.
Familiarity with data modelling, sharding, and indexing strategies for large-scale databases.
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.
