As our client's data business grows, the Data Division's AI Platform Services team is building applications and platforms for customers using data in AI and ML projects. As a Senior Software Engineer, Backend, you will build the APIs, services, integrations, and data-access systems behind those products. You will help make complex data workflows reliable, secure, observable, and scalable for customer-facing and internal applications. Responsibilities: - Build and evolve reliable backend services, GraphQL and REST APIs, and integrations that power customer-facing and internal applications. - Design and maintain clear API contracts and data-access patterns for application workflows. - Work with relational and NoSQL databases to deliver dependable, scalable application behavior. - Build asynchronous and event-driven processing where it improves product workflows and system resilience. - Improve testing, observability, performance, and operational readiness for the systems you own. - Own substantial work from implementation through deployment, production support, and incremental improvement. - Partner with frontend engineers, product, design, and data teams to deliver useful product capabilities. - Contribute to code reviews, shared engineering practices, and peer learning. Requirements: - Experience making significant contributions to production backend systems, APIs, or services. - Agentic development is a core part of how you work: you use it deliberately to explore, build, and deliver projects, and can articulate the practices that make it effective. - Strong experience with TypeScript and Python for server-side application development. - Experience designing, building, and integrating GraphQL and REST APIs. - Experience with relational databases such as PostgreSQL or MySQL, and NoSQL systems such as DynamoDB or Cloud Firestore. - Experience building and operating serverless functions with AWS Lambda or Cloud Run functions. - Experience with automated testing, debugging, and production support for distributed or service-based systems. - Familiarity with Git-based collaboration and continuous-integration workflows. - Strong communication skills and a constructive approach to pull-request reviews and peer mentorship. Nice to have: - Experience with GCP services such as Cloud Run and GKE for application workloads, Pub/Sub for asynchronous processing, and Cloud SQL. - Experience with authentication, search, and cloud infrastructure. - Experience with messaging, queues, and event-driven architectures. - Experience building services for AI-enabled products and data-intensive workflows. - Familiarity with observability tools and using production signals to guide performance and reliability improvements. - Experience integrating services with external APIs and MCPs.<div class="content-conclusion">We offer*: <ul> <li>Flexible working format - remote, office-based or flexible</li> <li>A competitive salary and good compensation package</li> <li>Personalized career growth</li> <li>Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)</li> <li>Active tech communities with regular knowledge sharing</li> <li>Education reimbursement</li> <li>Memorable anniversary presents</li> <li>Corporate events and team buildings</li> <li>Other location-specific benefits</li> </ul> *not applicable for freelancers</div>