ensuring compliance with industry standards. Mentor junior engineers , conduct peercode reviews, and drive best practices. Collaborate with Product, Delivery, andTechnical Leads to refine requirements and execute solutions. Work with AWS cloud-native services (Lambda, Step Functions, DynamoDB) to develop efficient cloud-basedapplications. Ensure CI/CD best practices ,contributing to GitLab pipelines ,automation, and observability improvements. Integrate AI … and code reusability. Requirements Strong hands-on experience in full-stack development with React, Node.js, and TypeScript . Experience designing, developing, and optimising scalable and secure applications. Proficiency in AWS services (Lambda, Step Functions, DynamoDB). Familiarity with CI/CD pipelines and DevOps best practices. Understanding of secure coding and regulatory compliance. Experience mentoring junior engineers and More ❯
LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, or Azure) with enthusiasm … for MLOps tools and practices Proficiency with version control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS, typically using Bedrock, Lambda, ECS and Kubernetes with CloudFormation and CDK for infrastructure configuration Our web products are developed using TypeScript, React, and Redux We implement GraphQL and RESTful APIs using NodeJS and More ❯
secure applications. Participate in our on-call rotation, responding swiftly to production issues. Drive continuous improvement in automation, monitoring, and deployment processes. What we're looking for Experience with AWS services (ECS, S3, RDS, Lambda, CloudFront, etc.). Skilled in monitoring tools such as DataDog , CloudWatch , and Grafana. Familiarity with Docker , ECS , Kubernetes , or similar containerisation tech. Competence More ❯
dashboards, and deployment processes. Drive R&D for innovative automation solutions. Ensure code quality, testing, and compliance with non-functional requirements (security, performance, accessibility). Troubleshoot issues across modern AWS stacks and legacy systems. Apply collaborative practices (pairing, mobbing, code reviews) and actively engage in team events and wider communities of practice. Essential Skills & Experience Commercial experience with AI … catch blocks, logging, and debugging tools Data Processing Pandas and NumPy for data manipulation, cleaning, and numerical operations SQLAlchemy or psycopg2 for database connectivity and ORM operations Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture) Lambda function development with proper event handling and response formatting S3 operations including multipart uploads, presigned More ❯
