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Designs and maintains infrastructure architecture, CI/CD pipelines, automation, and scalable Kubernetes environments. Responsibilities include optimizing reliability and performance, troubleshooting production systems, managing security controls and secrets, supporting existing environments, and participating in incident response and root-cause analysis. The engineer collaborates with development teams and drives continuous improvement. Preferred experience includes AWS, AI infrastructure, LLM services, and AI-enabled CI/CD automation.

Design and develop scalable distributed backend services for a high-scale accessibility-focused SaaS platform. Responsibilities include evolving microservices and cloud-native architecture, supporting delivery pipelines, monitoring production systems, optimizing performance, improving reliability and observability, integrating modern technologies, and contributing to infrastructure and technical strategy. The role also requires using AI-assisted development tools and collaborating with distributed cross-functional engineering teams.

Designs and maintains scalable infrastructure, Kubernetes environments, CI/CD pipelines, and automation. Responsibilities include infrastructure architecture, security and secrets management, monitoring, troubleshooting production systems, incident response, root-cause analysis, and continuous improvement. The engineer collaborates with development teams and may support AWS, AI infrastructure, LLM services, and AI-related automation.

Lead architecture and technical strategy for enterprise Java platforms in public-sector environments. Participate in presales, tenders, discovery, estimation, and customer presentations; design scalable microservices, integrations, and cloud-native solutions; establish engineering standards; guide teams through project launch and early delivery; conduct architecture and code reviews; resolve complex technical issues; and mentor engineers.

Coordinates project delivery, team communication, recruitment, meetings, workshops, documentation, status reporting, and process improvement. Supports people management, team motivation, performance reviews, project roadmaps, stakeholder collaboration, and vendor communication while helping maintain project management best practices.

Designs and maintains infrastructure architecture, CI/CD pipelines, automation, and scalable Kubernetes environments. The role focuses on infrastructure performance, reliability, security, secrets management, access control, troubleshooting, monitoring, incident response, and continuous improvement. Candidates need at least three years of DevOps or infrastructure experience, strong Docker, Kubernetes, Azure DevOps, scripting, infrastructure-as-code, and observability expertise. AWS and AI infrastructure experience are preferred.

Supports resource management, staffing coordination, employee data maintenance, onboarding follow-ups, interview coordination, reporting, dashboards, and employee lifecycle processes. Maintains staffing trackers and internal systems, identifies data inconsistencies, coordinates stakeholders, prepares employee CVs, tracks probation periods, and assists with process improvements and reporting automation.

Leads architecture and hands-on development of enterprise MCP platform capabilities using TypeScript and Node.js. Builds reusable libraries, SDKs, templates, and tooling for MCP clients, servers, agent orchestration, context management, authentication, and backend integrations. Defines engineering standards and integration patterns, supports distributed systems scalability, reviews designs across teams, documents best practices, mentors engineers, and drives platform adoption and governance.

Create advanced visual and UI concepts for web, landing pages, and interactive projects. Translate client goals into polished design solutions, incorporating motion, 3D, AI tools, and interactive prototypes. Collaborate with clients and multidisciplinary teams, present and defend design decisions, manage timelines, communicate risks, and improve creative processes. Explore emerging AI and design technologies throughout research, concepting, asset creation, motion, and delivery.

Supports staffing and resource management across competency pools by maintaining employee data, allocation trackers, CVs, dashboards, and reports. Coordinates interviews, onboarding follow-ups, probation tracking, feedback activities, and stakeholder communication. The role also identifies data inconsistencies, supports employee lifecycle operations, and contributes to process improvements and reporting automation.