Careers at Movate – Poland

Job title: Full-stack Engineer with AI
Work Location: remote
Experience: 5-6 years
Education Qualification:  B.A.

Roles and Responsibilities:

• Lead by example by delivering great, scalable, well-tested code to add new features to the platform.
• Collaborate with product management, UX/usability/front-end specialists, QA testers, and our internal users to deliver a world-class User Experience across multiple platforms for multiple services
• Comfortable working independently, within a team and across multiple teams to ensure that we deliver the best customer experience for our services.
• Performance optimisation and problem diagnosis;
• Designing/Developing for high-availability;
• Designing/Developing and testing new features;
• Supporting release and documentation of developed features
• Estimating the effort required to develop and implement;
• Help defining coding standards and development processes;
• Provide out of hours support as part of an on-call rotation

Required Skills & Desired Skills

• Strong programming skills with Go and Java for backend services
• Strong experience with JavaScript, Typescript and front end frameworks (Vue Js ideally but React experience will be useful)
• Strong understanding of responsive web design principles, cross-browser compatibility, and accessibility standards (e.g., WCAG).
• Proven experience of developing and maintaining enterprise grade systems at scale
• Experience with building REST/HTTP based services
• Proven experience building AI driven solutions. This could include the use of agentic AI or other machine-learning based applications. The ideal candidate should be fully conversant in how these technologies can be applied and up-to-date with the current state of the sector as a whole. Use of the AWS AI solutions would be a huge bonus (Bedrock, Sagemaker etc).
• Experience dealing with highly concurrent, distributed architectures/systems
• A keen sense of seeing things from our customers’ point of view
• A drive to always leave things better than how you found them. That applies to code, processes, interactions with people and every other aspect of your work life.
• Understanding of UX Design, experience with delivering SaaS-based products, and a passion for learning new technologies are a plus.
• Willingness to get hands dirty and not afraid of low level details;
• Ability to effectively communicate problems and solutions to the different team members.HTML and CSS3
• Cloud experience (ideally AWS)
• SRE exposure

Job title: Backend Engineer with Java and/or GO
Work Location: remote
Experience: 5-6 years
Education Qualification:  B.A.

Roles and Responsibilities:

• Design, develop, test, and maintain scalable backend systems using Java and Spring. Implement and optimize microservices architectures deployed on AWS.
• Own end-to-end delivery of features and improvements, from design through deployment.
• Collaborate with cross-functional teams including frontend developers, DevOps, and product owners.
• Troubleshoot, debug, and resolve issues in complex distributed systems.
• Write and maintain automated tests to ensure code quality.
• Participate in Agile ceremonies and contribute to continuous improvement of development processes.

Required Skills & Desired Skills

• Minimum 4 years of software development experience.
• Strong proficiency in Java and Spring ecosystem (Spring Boot, Spring Cloud, etc.).
• Hands-on experience with AWS cloud services and architecture (e.g., EC2, S3, Lambda, RDS).
• Solid understanding of microservices design principles and REST API development.
• Experience with Agile software development methodologies (Scrum, Kanban).
• Excellent problem-solving and analytical skills.
• Experience with debugging and maintaining complex systems.
• Familiarity with version control systems, preferably Git.
• Good communication skills and ability to work effectively in a remote or distributed team environment.

Nice to Have

• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines and automation tools.
• Knowledge of Spring Security, Spring Data, or other Spring projects.
• Experience working with monitoring, logging, and observability tools on AWS.
• Continuous learner, staying up to date with cloud-native and backend technologies.

Job title: Security DevOps Engineer
Work Location: remote
Experience: 5-6 years
Education Qualification:  B.A.

Roles and Responsibilities:

• Deploy, manage and improve our internal container registry
• Build automations around detecting, patching and preventing security vulnerabilities in the whole cloud platform
• Assist in risk assessments and audits
• Create solutions for resource isolation, multi-tenancy and RBAC
• Provide documentation, coaching and trainings for long-term improvements in the security culture

Required Skills & Desired Skills

• At least 6 years of professional experience as a DevOps/SRE in public cloud environment
• Experience running security-related projects in public cloud and k8s environment
• Experience deploying and managing container registries, preferably Harbor
• Experience in managing security aspect of container ecosystem, including lifecycle management
• Working experience with distributed k8s environments (10+ production clusters)
• Strong familiarity with AWS, especially at the networking area
• Experience improving container-related performance, security and risk management in the entire SDLC

Nice to have:

• CKS certification
• AWS certification

Job title: Java Backend Software Engineer
Work Location: remote
Experience: 5-6 years
Education Qualification:  B.A.

Roles and Responsibilities:

• Design and build systems which add features to our fraud prevention platform
• Work with the Product team to define requirements, then iterate based on customer feedback
• Write efficient and scalable code, in well-tested systems, running on public cloud infrastructure
• End-to-end ownership of what you ship, from architecture discussions through implementation to monitoring in production

Required Skills & Desired Skills:

• Excellent software engineering skills in Java
• An excellent practical understanding of high performance distributed computing
• A strong focus on testing, with a customer-first mindset
• Experience of multi-threaded, 3-tier architectures, web services and caching
• Experience dealing with event-driven pipelines
• Willingness to learn and use different technology/programming languages Experience integrating with Machine Learning systems to deliver product features
• Ability to lead a project within the team
• AWS with Terraform
• Redis
• Kafka

Job title: GenAI Tooling Engineer
Work Location: remote
Experience: 5-6 years
Education Qualification:  B.A.

Roles and Responsibilities:

• Work directly with developer and platform teams to design, build, and integrate GenAI solutions into engineering workflows (CI/CD, IDE extensions, test automation, documentation, code reviews, bug triage).
• Prototype and deploy GenAI-powered tools, APIs, and plugins to accelerate developer productivity.
• Implement retrieval-augmented generation (RAG) pipelines, embeddings, and vector databases to support contextual developer assistance.
• Evaluate and productionize GenAI models and APIs (e.g., OpenAI, Anthropic, AWS Bedrock, GitHub Copilot).
• Automate developer workflows using GenAI-assisted scripts, bots, and pipelines.
• Collaborate with security, legal, and compliance teams to ensure safe, responsible, and compliant AI usage.
• Collect and analyze developer productivity metrics to measure impact and iterate on solutions.
• Stay current on GenAI trends and bring practical, emerging capabilities into the organization.

Required Skills & Desired Skills:

• 5+ years in software engineering, platform engineering, or developer productivity roles.
• Hands-on experience implementing GenAI solutions in enterprise or production environments.
• Proficiency in Python and ideally Go, Node.js, or similar.
• Strong understanding of APIs, cloud services (AWS preferred), and containerized environments.
• Experience working with LLMs, embeddings, vector databases, and RAG systems.
• Familiarity with developer workflows, CI/CD, Kubernetes, and developer tooling ecosystems.
• Practical experience with GenAI integrations (e.g., GitHub Copilot, OpenAI, AWS Bedrock). Desirable
• Experience building developer tooling, plugins, or extensions.
• Knowledge of prompt engineering best practices and model fine-tuning.
• Understanding of data security, compliance, and responsible AI.
• Prior experience in a DevEx, developer enablement, or productivity-focused role.

Job title: AI Python MCP Software Engineer
Work Location: remote
Experience: 5-6 years
Education Qualification:  B.A.

Roles and Responsibilities:

• Collaborate with Product, Architecture, and Security to define the end-to-end solution for MCP-based exposure of APIs
• Design, build, test, and deploy MCP servers and supporting services in Python (and other languages as needed)
• Integrate LLMs, AI agents, and tool orchestration frameworks with internal communications capabilities
• Implement strong security, authentication, authorization, rate limiting, and auditability patterns for AI-driven execution
• Establish robust testing strategies: unit, contract, integration, load, and chaos tests

Required Skills & Desired Skills:

• Excellent software engineering skills in Python
• Experience designing, building, and operating cloud services on AWS
• Strong understanding of AI concepts: LLMs, prompt orchestration, tool calling, retrieval augmentation, agent frameworks
• Working knowledge of (or strong interest in) MCP (Model Context Protocol) servers and emerging AI interoperability standards
• Deep focus on software security: threat modeling, least privilege, secrets management, secure API design, supply chain considerations
• A test-first mindset: unit, integration, contract, and automation testing at scale
• Ability to learn and apply multiple languages or stacks pragmatically (e.g., TypeScript, Go, Java)
• Entrepreneurial mindset: bias for action, ownership, iterative delivery, outcome focus

Job title: GenAI Enablement Lead
Work Location: remote
Experience: 5-6 years
Education Qualification:  B.A.

Roles and Responsibilities:

• Develop and execute a strategy to drive GenAI enablement across the engineering organization by leading a cross-functional community focused on experimentation, knowledge sharing, and adoption of Generative AI tools and practices.
• Identify and prioritize use cases that drive measurable improvements in productivity, quality, and developer experience.
• Define the roadmap for GenAI tools, integrations, and internal accelerators.
• Evaluate and pilot GenAI tools, models, and APIs (e.g., OpenAI, Anthropic, AWS Bedrock, etc.).
• Build and maintain prototypes, plugins, and integrations with internal platforms (e.g., CI/CD pipelines, IDEs, generation of documentation and tests, code reviews, bug fixing).
• Design and run training, workshops, and documentation to empower engineers to use GenAI responsibly and effectively.
• Champion safe and compliant GenAI usage, including prompt engineering patterns, model selection, and usage guidelines.
• Collect feedback and metrics to iterate on tools and practices.
• Define and promote GenAI usage policies in collaboration with security, legal, and compliance teams.
• Establish governance models for data privacy, model usage, and ethical AI practices.
• Stay abreast of GenAI trends and assess emerging technologies for potential adoption. Represent the company in external forums, communities, or conferences on AI enablement topics.

Required Skills & Desired Skills:

• Excellent communication skills and the ability to translate complex AI concepts to engineering and business stakeholders.
• Demonstrated ability to drive cross-functional initiatives and influence without direct authority.
• 5+ years of experience in software engineering, developer tooling, or platform teams.
• Hands-on experience with LLMs or GenAI tools in a production or enterprise setting.
• Strong technical foundation in APIs, cloud platforms (e.g., AWS), and programming languages (Python, Go, etc.).
• Experience integrating with GenAI platforms (e.g., OpenAI, CoPilot). Desirable

Nice to have:

• Familiarity with Kubernetes, CI/CD, developer portals, and internal platform tools.
• Knowledge of security and compliance considerations around AI (e.g., data leakage, model risk).
• Experience with prompt engineering, vector databases, and RAG (retrieval-augmented generation) systems.
• Prior experience in a developer enablement, DevEx, or productivity engineering role.

Job title: Business Analyst – Engineering Transformation
Work Location: remote
Experience: 5-6 years
Education Qualification:  B.A.

Roles and Responsibilities:

• Build strong relationships with all stakeholders and foster cooperation, coordination and communication across the organization
• Define and document business requirements that support Engineering in system development and design.
• Oversee project execution, ensuring alignment with strategic goals, on-time delivery, and effective risk mitigation. This requires the ability to rapidly grasp technical concepts, shift between diverse topics, and adjust to evolving priorities.
• Compile and communicate project status updates to senior leadership, highlighting key milestones, risks, and opportunities.
• Drive collaboration across teams, fostering an environment of transparency, accountability, and continuous improvement.
• Manage critical administrative functions essential to the efficiency of the Engineering organization.

Required Skills & Desired Skills:

• 5+ years of experience successfully defining, managing, and leading projects and transformation initiatives.
• Strong technical acumen, with a solid understanding of software engineering concepts, Agile methodologies, and DevOps frameworks—enabling effective collaboration with engineering teams.
• Proven problem-solving and analytical skills, with a track record of operationalizing best practices and delivering measurable improvements.
• Excellent stakeholder management and influencing skills, with the ability to build cross-functional relationships and work effectively in a matrixed organization.
• Proficiency in project planning methodologies and tools, ensuring efficient execution and delivery of strategic initiatives.