Senior Software Engineer (Ourense)

Role OverviewAs 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.Key ResponsibilitiesPlatform & Backend EngineeringDesign and build scalable, highly available Java microservices on AWS from scratchDefine and own the data model for time tracking entities - entries, projects, users, billing cyclesArchitect RESTful and event-driven APIs consumed by web, mobile, and third-party clientsOwn the full AWS infrastructure for your services: Lambda, ECS/EKS, RDS/Aurora, SQS, S3, CloudWatchImplement CI/CD pipelines using GitHub Actions or AWS CodePipeline, with automated testing gatesIntegrationsBuild bi-directional sync between the time tracking platform and Airtable bases via the Airtable APIIntegrate with Linear to link time entries to issues, projects, and cycles - keeping both systems in syncDevelop Slack workflows: slash commands, interactive modals, notifications, and Bolt-based event subscriptionsDesign an integration framework that can onboard new third-party connectors without re-architecting core servicesHandle webhooks, OAuth2.0 flows, token management, and rate limiting for all external platformsAI-First DevelopmentUse AI coding assistants (e.g. GitHub Copilot, Claude, Cursor) as a core productivity tool throughout developmentImplement AI-powered features: intelligent time entry suggestions, anomaly detection, natural language querying of time dataLeverage LLMs for smart auto-categorization of time entries based on calendar, Linear activity, or Slack contextContribute to prompt engineering, RAG pipelines, or fine-tuning workflows as the product roadmap evolvesEvaluate and recommend AI/ML services (AWS Bedrock, SageMaker, OpenAI, Anthropic APIs) appropriate to each use caseQuality & CollaborationWrite clean, well-tested Java code - unit, integration, and contract tests are non-negotiableParticipate in architecture reviews, PR reviews, and cross-functional planning sessionsContribute to runbooks, ADRs (Architecture Decision Records), and internal documentationRequired QualificationsCore (Must-Have)5+ years of professional software engineering experienceBackend: Strong Java proficiencySpring Boot or Quarkus for microservices; experience with reactive frameworks (Vert.x, WebFlux) a plusDeep AWS expertise - hands-on experience with Lambda, ECS or EKS, RDS/Aurora, SQS/SNS, API Gateway, IAM, CloudFormation or CDKREST API and event-driven architecture design and implementationOAuth2.0, webhook design, idempotency, and third-party API integration patternsDemonstrable AI-first mindset; regular use of AI coding tools and willingness to bring LLM-powered features into productionGreenfield experience - proven ability to contribute meaningfully on a greenfield project from blank canvas to productionIntegration Experience (Highly Desirable)Airtable API - reading/writing records, managing bases, handling webhooksLinear API or GraphQL-based project management tool integrationsSlack Bolt SDK - building apps, slash commands, modals, interactive componentsExperience building a reusable integration or connector frameworkAI / ML (Desirable)Working knowledge of LLM APIs (OpenAI, Anthropic, AWS Bedrock)Experience with prompt engineering, RAG, or embeddings in a production contextFamiliarity with AWS SageMaker or similar ML deployment pipelinesUnderstanding of responsible AI practices - latency, cost, hallucination mitigationNice to HaveExperience in the time tracking, workforce management, or project management SaaS domainFrontend exposure - React or TypeScript - to collaborate closely with full-stack requirementsFamiliarity with multi-tenancy patterns and SaaS billing / subscription modelsContributions to open-source projects or public technical writingExperience with observability tooling: Datadog, OpenTelemetry, AWS X-RaySalary Range: €54,000-€74,000 gross per year, depending on experience, skills, and overall fit for the role.#J-*****-Ljbffr

Core (Must-Have) 5+ years of professional software engineering experience Backend: Strong Java proficiency Spring Boot or Quarkus for microservices; experience with reactive frameworks (Vert.x, WebFlux) a plus Deep AWS expertise - hands-on experience with Lambda, ECS or EKS, RDS/Aurora, SQS/SNS, API Gateway, IAM, CloudFormation or CDK REST API and event-driven architecture design and implementation OAuth2.0, webhook design, idempotency, and third-party API integration patterns Demonstrable AI-first mindset; regular use of AI coding tools and willingness to bring LLM-powered features into production Greenfield experience - proven ability to contribute meaningfully on a greenfield project from blank canvas to production Integration Experience (Highly Desirable) Airtable API - reading/writing records, managing bases, handling webhooks Linear API or GraphQL-based project management tool integrations Slack Bolt SDK - building apps, slash commands, modals, interactive components Experience building a reusable integration or connector framework AI / ML (Desirable) Working knowledge of LLM APIs (OpenAI, Anthropic, AWS Bedrock) Experience with prompt engineering, RAG, or embeddings in a production context Familiarity with AWS SageMaker or similar ML deployment pipelines Understanding of responsible AI practices - latency, cost, hallucination mitigation Nice to Have Experience in the time tracking, workforce management, or project management SaaS domain Frontend exposure - React or TypeScript - to collaborate closely with full-stack requirements Familiarity with multi-tenancy patterns and SaaS billing / subscription models Contributions to open-source projects or public technical writing Experience with observability tooling: Datadog, OpenTelemetry, AWS X-Ray Salary Range: €54,000-€74,000 gross per year, depending on experience, skills, and overall fit for the role. #J-*****-Ljbffr