Jobs at Mindera

Design and deploy enterprise agentic AI systems, including MCP integrations, agent orchestration, secure tool execution, RBAC, identity propagation, policy enforcement, evaluation, and safety guardrails. Build production-ready platform adapters and integrations using Python, AWS, Docker, CI/CD, REST, SQL, and data modeling. Collaborate with developers, leadership, clients, and delivery teams while guiding adoption and maintaining engineering best practices.

Drive the strategy, roadmap, and delivery of advertising technology across web and mobile platforms. Optimize ad placements, tracking, reporting, inventory, and self-service capabilities to increase supplier revenue while protecting customer experience. Collaborate with Design, Engineering, Retail Media, Research, and business stakeholders; define KPIs and OKRs; prioritize backlogs; support accessibility; and influence cross-functional teams without direct authority.

Own the strategy, roadmap, governance, adoption, and evolution of a cross-platform design system. Partner with design and engineering teams to deliver reusable, accessible components and align technical implementation with business priorities. Define success metrics, OKRs, contribution models, and adoption baselines while building an engaged internal user community. The role requires frequent travel to the UK and strong stakeholder influence across product teams.

Mindera is building a talent pipeline for future technology roles, including backend, frontend, full-stack, QA, DevOps, cloud, Agile product, data and BI, support, systems, and infrastructure positions. The company offers flexible work arrangements, health insurance, unlimited PTO, training opportunities, equipment choice, and collaborative Agile work across global offices.

Design, implement, and maintain robust Java/Kotlin backend systems. Own full SDLC in an Agile team, build scalable distributed systems with Kafka and Kubernetes, implement CI/CD and Terraform infrastructure, practice TDD, mentor juniors, and collaborate across teams.

Develop and maintain complex Java backend systems and Shopify integrations using Spring Boot, GraphQL, AWS, Kafka, and OpenTelemetry. Own solutions throughout development, deployment, troubleshooting, and maintenance; contribute to architecture and technology roadmaps; diagnose production issues; mentor developers; challenge requirements; drive technology adoption; and conduct technical interviews. The role requires English fluency, Portugal residency, and availability during 08:00–17:00 CET.

Leads technical product ownership for AI tools, managing backlogs, roadmaps, requirements, dependencies, release schedules, and delivery across multiple engineering streams. Bridges technical and business stakeholders, translates complex concepts, triages development and QA priorities, coordinates AI integrations, supports Agile practices, and influences product vision. The role requires strong software engineering knowledge, familiarity with AI architectures, LLMs, APIs, data pipelines, cloud infrastructure, and experience leading distributed international teams.

Lead the architecture and development of high-performance, secure, scalable frontend applications using React and Next.js. Establish testing strategies with unit, integration, end-to-end, TDD, and shift-left practices. Optimize Core Web Vitals, SEO, accessibility, and user experience while providing technical leadership, mentoring, and architectural direction within Agile Scrum or Kanban teams.

Build and architect scalable Python services, APIs, cloud infrastructure, data pipelines, and deployment systems. Lead technical direction, Python engineering standards, testing, security, observability, CI/CD, operational resilience, and Agile delivery across teams. Use Azure, Terraform, AKS, Kubernetes, Docker, Kafka or Kinesis, and FastAPI. Guide teams and communicate complex technical concepts to executives, clients, and diverse stakeholders. Experience with AI-enabled applications and LLM evaluation frameworks is also required.

Develop and maintain scalable Java/Kotlin full-stack applications across the full delivery lifecycle. Responsibilities include solution design, coding, deployment, production troubleshooting, testing, observability, cloud infrastructure, technical mentoring, roadmap contribution, technology adoption, and technical interviewing. The role requires collaboration within agile teams, ownership of software quality, and occasional national or international travel. Candidates must be located in Portugal.

The Senior Java Backend Developer will design and implement robust backend solutions using Kotlin or Java, contribute to the full software development lifecycle, and mentor junior developers in an Agile environment.

Lead the development and production operation of recommendation systems. Responsibilities include consolidating algorithms, developing features and models, evaluating and deploying solutions, monitoring production performance, retraining, experimentation, and optimization. The role requires hands-on Python, Databricks, and PySpark development, refactoring data science code, applying software engineering principles, creating tests, collaborating with engineering teams, and communicating technical decisions to stakeholders.

Own the design and reliability of reusable AI accelerators, agent harnesses, multi-agent workflows, orchestration, evaluation pipelines, telemetry, and observability. Build production-grade agentic systems capable of planning, coding, testing, validating, and improving outputs. Develop LLM applications using prompting, function calling, structured outputs, RAG, vector stores, and Anthropic and OpenAI APIs. Deploy scalable full-stack applications with cloud, DevOps, backend, and frontend capabilities.

Build and operate production batch and streaming data pipelines from databases, event streams, and APIs. Own lake, lakehouse, and warehouse architecture, optimizing performance and cost. Implement orchestration, testing, observability, alerting, recovery, infrastructure as code, CI/CD, data contracts, governance, access controls, lineage, and documentation. Collaborate with leadership, clients, and data-producing teams while mentoring others and communicating technical decisions clearly.

The Java Technical Lead/Staff Engineer will lead engineering teams, mentor developers, oversee solutions design, and ensure effective delivery of software projects using Java and associated technologies.

As a Senior Java Developer at Mindera, you will mentor teams, deliver technical solutions, troubleshoot issues, and enhance online technology across various frameworks and practices.

Lead and deliver backend solutions (Java/Kotlin) across the delivery lifecycle: design, implementation, testing, deployment and production diagnostics. Mentor teammates, drive architecture and tooling choices, promote observability, and support technical hiring and roadmap decisions.

Design and build high-performance, secure, full-stack solutions using Java, React, and Next.js while ensuring smooth integration between server-side and front-end.

The Java Fullstack Developer will design backend services in Java, develop frontend applications with Next.js, and work on cloud-native solutions. Responsibilities include creating APIs, UI components, and ensuring system performance and security best practices.

Design and build high-performance front-end solutions focusing on React and Next.js. Collaborate with a team in an agile environment.