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.
We offer
*:
* Versátil working format
- remote, office-based or flexible
* A competitive salary and good compensation package
* Personalized career growth
* Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
* Active tech communities with regular knowledge sharing
* Education reimbursement
* Memorable anniversary presents
* Corporate events and team buildings
* Other location-specific benefits *not applicable for freelancers #J-18808-Ljbffr
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