Software Engineer; Risk
Listed on 2026-01-13
-
Software Development
Software Engineer, Cloud Engineer - Software, DevOps, Full Stack Developer
Location: Greater London
Signal AI is the External Intelligence company helping business leaders make sense of the outside world. Our platform transforms external data from traditional news and social media across 226 markets and 75 languages, providing companies with actionable insights designed to navigate enterprise risk, strengthen reputation, and fuel growth. Our platform ingests diverse content from 5.4M+ documents and posts per day from more than 220,000 sources across published media, social media, podcasts, broadcast, and regulatory content.
Our proprietary AI engine, AIQ, processes this vast amount of unstructured data in near real‑time, turning it into actionable intelligence, enabling strategic and bold decision‑making. Our unique approach, underpinned by a blend of generative and discriminative technologies, ensures businesses receive data‑driven insights that are both actionable and rigorously factual, setting a new benchmark for AI’s role in strategic decision‑making.
- Contributing towards features, while guiding them from conception to production, ensuring they meet our high standards for quality, reliability, and performance
- Writing clean, readable, and maintainable code that can be easily understood and extended by your teammates and your future self
- Building robust observability into your solutions through comprehensive logging, tracing, and metrics that enable rapid issue diagnosis and root cause identification
- Contributing to the breakdown of complex problems into manageable, deliverable tasks
- Working with services that process millions of documents daily across hundreds of markets and languages
- Designing and implementing APIs that are performant, secure, and developer‑friendly
- Optimising database queries and data models for systems handling large volumes of real‑time data
- Understanding distributed systems principles to build resilient, scalable solutions
- Working closely with cross‑functional teams, including product managers, designers, and other engineers, to deliver customer value
- Maintaining a product engineering mindset and being comfortable discussing the tradeoffs between one approach and another while keeping our users front and centre
- Participating actively in team ceremonies and contributing to our culture of continuous improvement
- Pair programming with team members to share knowledge and deliver high‑quality solutions
- Clearly articulating technical concepts to both technical and non‑technical stakeholders
- Participating in product and engineering forums, committed to maintaining high standards and sharing knowledge across the wider Product & Technology (P&T) group
- Staying current with emerging AI‑assisted development tools and practices
- Contributing to team discussions on how to effectively integrate AI tools into our Software Development Life Cycle (SDLC)
- Maintaining a balance between AI assistance and critical thinking to ensure code quality and security
- Working with varied technologies and languages, such as Clojure, Python, Typescript, etc.
- Experience with API design and integration, including RESTful services
- Comfortable using different databases (relational and non‑relational) and storage systems, such as Elastic Search, Postgre
SQL, S3, Dynamo
DB, Redis, etc. - Understanding of distributed systems concepts and microservices architecture
- Experience with cloud platforms (AWS) and infrastructure‑as‑code
- Experience with data pipeline orchestration and transformation tools (e.g., Airflow, Argo Workflows, dbt, AWS Batch, Athena, pandas) is a plus
- Proficiency in debugging complex issues and performance optimisation
- Security‑aware development practices and understanding of common vulnerabilities
- Willingness to work across the stack, comfortable with both backend services and frontend interfaces
- Strong focus on observability and explainability over extensive unit testing
- Experience implementing comprehensive monitoring, alerting, and logging strategies
- Understanding of Dev Ops practices, including CI/CD pipelines and deployment strategies
- Excellent documentation skills for both technical…
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search: