PbAbout Xebia /b /ppFor more than 25 years, our integral network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 6000+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. /ppAt Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork. /ppbr/ppbRole Overview /b /ppAs a Senior Software Engineer on this team, you will own the design and delivery of core backend services, drive integration architecture with third-party platforms, and help establish the engineering patterns. You will work closely with product, design, and customer-facing teams to ensure what gets built solves real problems elegantly. /ppbr/ppbKey Responsibilities /b /ppbr/ppbPlatform Backend Engineering /b /pulliDesign and build scalable, highly available Java microservices on AWS from scratch /liliDefine and own the data model for time tracking entities — entries, projects, users, billing cycles /liliArchitect RESTful and event-driven APIs consumed by web, mobile, and third-party clients /liliOwn the full AWS infrastructure for your services: Lambda, ECS/EKS, RDS/Aurora, SQS, S3, CloudWatch /liliImplement CI/CD pipelines using GitHub Actions or AWS Code Pipeline, with automated testing gates /li /ulpbIntegrations /b /pulliBuild bi-directional sync between the time tracking platform and Airtable bases via the Airtable API /liliIntegrate with Linear to link time entries to issues, projects, and cycles — keeping both systems in sync /liliDevelop Slack workflows: slash commands, interactive modals, notifications, and Bolt-based event subscriptions /liliDesign an integration framework that can onboard new third-party connectors without re-architecting core services /liliHandle webhooks, OAuth 2.0 flows, token management, and rate limiting for all external platforms /li /ulpbAI-First Development /b /pulliUse AI coding assistants (e.g. GitHub Copilot, Claude, Cursor) as a core productivity tool throughout development /liliImplement AI-powered features: intelligent time entry suggestions, anomaly detection, natural language querying of time data /liliLeverage LLMs for smart auto-categorization of time entries based on calendar, Linear activity, or Slack context /liliContribute to prompt engineering, RAG pipelines, or fine-tuning workflows as the product roadmap evolves /liliEvaluate and recommend AI/ML services (AWS Bedrock, SageMaker, OpenAI, Anthropic APIs) appropriate to each use case /li /ulpbQuality Collaboration /b /pulliWrite clean, well-tested Java code — unit, integration, and contract tests are non-negotiable /liliParticipate in architecture reviews, PR reviews, and cross-functional planning sessions /liliContribute to runbooks, ADRs (Architecture Decision Records), and internal documentation /li /ulpbr/ppbRequired Qualifications /b /ppbCore (Must-Have) /b /pulli5+ years of professional software engineering experience /lilibBackend: /bStrong Java proficiency /liliSpring Boot or Quarkus for microservices; experience with reactive frameworks (Vert.x, WebFlux) a plus /lilibCloud: /bDeep AWS expertise /liliHands-on experience with Lambda, ECS or EKS, RDS/Aurora, SQS/SNS, API Gateway, IAM, CloudFormation or CDK /lilibAPIs: /bREST API and event-driven architecture design and implementation /liliOAuth 2.0, webhook design, idempotency, and third-party API integration patterns /lilibAI Tooling: /bDemonstrable AI-first mindset /liliRegular use of AI coding tools and willingness to bring LLM-powered features into production /lilibGreenfield: /bProven ability to contribute meaningfully on a greenfield project — from blank canvas to production /li /ulpbIntegration Experience (Highly Desirable) /b /pulliAirtable API — reading/writing records, managing bases, handling webhooks /liliLinear API or GraphQL-based project management tool integrations /liliSlack Bolt SDK — building apps, slash commands, modals, interactive components /liliExperience building a reusable integration or connector framework /li /ulpbAI / ML (Desirable) /b /pulliWorking knowledge of LLM APIs (OpenAI, Anthropic, AWS Bedrock) /liliExperience with prompt engineering, RAG, or embeddings in a production context /liliFamiliarity with AWS SageMaker or similar ML deployment pipelines /liliUnderstanding of responsible AI practices — latency, cost, hallucination mitigation /li /ulpbNice to Have /b /pulliExperience in the time tracking, workforce management, or project management SaaS domain /liliFrontend exposure — React or TypeScript — to collaborate closely with full-stack requirements /liliFamiliarity with multi-tenancy patterns and SaaS billing / subscription models /liliContributions to open-source projects or public technical writing /liliExperience with observability tooling: Datadog, Open Telemetry, AWS X-Ray /li /ul