We are looking for a skilled and motivated Senior Software Engineer to join our Surveillance Engineering team. The ideal candidate will have a deep understanding of software development and technical expertise. This is a hands-on role for someone who wants both depth and ownership: you'll design and build complex components, drive architecture and technology-selection decisions, and stay close to the product in production. The position requires strong collaboration and communication skills as you will be working alongside engineers, data scientists, and domain experts.
About the Surveillance Group: The Surveillance group at Shield builds and operates advanced AI solutions. Our team is composed of engineers, data scientists and subject matter experts who work together to deliver a high-quality, production-ready Surveillance product. We push the boundaries of what is possible and measure ourselves by the impact we deliver to our clients.
Let’s get down to business:
What you'll do
Design, build and maintain the software infrastructure and solutions that make up our Surveillance pipeline, combining classic machine learning models and GenAI models with complex business logic and analytical components.
Own significant architecture decisions and evaluate and select the technologies we build on.
Solve complex engineering problems end to end, from investigation and design through implementation and rollout.
Collaborate with engineers, data scientists and subject matter experts to deliver high-quality, production-ready that are fully integrated and scalable.
Support the product in production: investigate issues, improve observability, and make the system easier to run.
Build and operate services in containerized environments (Docker, Kubernetes) on AWS.
Hold a high engineering bar: meaningful unit tests, solid CI/CD following best practices.
Keep current with developments in software engineering and production ML infrastructure.
Requirements
Experience and Skills:
5+ years of professional Python development experience - MUST
Proven experience designing software architecture for production systems - MUST
Strong analytical and problem-solving skills, including the ability to reason about and improve existing systems.
Strong background in Linux and containerized environments (Docker, Kubernetes) - MUST
Hands-on experience with AWS.
Experience with distributed data and messaging technologies such as Elasticsearch/OpenSearch, Kafka, RabbitMQ, and Redis
Experience with unit testing and CI/CD practices.
Experience running and supporting production environments
Excellent communication skills and a genuine team player.
Self-motivated, results-oriented and well organized.
More information about Shield:
Shield is the industry’s most comprehensive digital communications governance and archiving solution, purpose-built for financial institutions. Named a Visionary by Gartner, Shield’s platform blends AI innovation with deep regulatory expertise to simplify compliance, strengthen security, and unlock efficiency.
Trusted by leading global financial institutions, Shield works closely with its partners to help compliance teams uncover hidden risks, prevent financial crimes, and protect both people and markets. . With operations across key financial hubs worldwide, we support customers wherever they operate, navigating complex regulatory environments with confidence. At our core, we’re focused on building trust: protecting market integrity and creating a world where communication is understood and accountable.
Our work has been recognized by industry leaders and analysts, including Deloitte Fast 500, Dun & Bradstreet’s Top 20 Companies, Regulation Asia Awards, and RegTech Insight Awards Europe-reflecting our impact, growth, and commitment to excellence.
If you’re ready to make a real impact at a fast-growing, mission-driven company working with the world’s leading banks to redefine communication governance and compliance - this is the place for you.
Nice to have
Experience working closely with Data Science teams