Seeking a Senior Software Engineer skilled in Go to build innovative products and mentor teams while ensuring high standards in software engineering within an Agile environment.

The Senior Software Engineer will architect, design, and build high-availability APIs while mentoring team members and improving processes.

Design, build, and scale the analytics platform infrastructure, data ingestion pipelines, and containerised environments. Support CI/CD, monitor performance, debug production issues, and collaborate with analytics and data science teams to deliver reliable, scalable data solutions.

As a Senior Marketing Manager, you will lead marketing strategy and execution, manage a team, and drive growth and brand visibility.

The Engineering Manager will lead and develop teams within the engineering practice, ensuring high-quality delivery, recruitment, and a supportive culture for team members.

The Senior Client Partner will support clients in software delivery, driving engagement success, managing relationships, and ensuring profitability while leading Agile team efforts.

As a Senior Software Engineer, you will build innovative products, implement DevOps practices, manage cloud infrastructure, and ensure system reliability. Responsibilities include utilizing Kubernetes, automating deployment pipelines, and developing infrastructure-as-code. Communication and teamwork are essential in a fast-paced environment.

As a Senior Python Backend Engineer, you will develop scalable systems, design cloud infrastructure, and ensure CI/CD practices in a collaborative environment.

The Senior Data Engineer will build core infrastructure software for data platforms, mentor engineers, and ensure data access and performance across systems.

Act as primary client contact to build partnerships, support Agile team leadership and facilitation, monitor performance and profitability, coordinate staffing, and ensure follow-through on actions to maintain healthy, high-performing engagements.

Build and integrate AI-powered features and models, implement RAG and vector search pipelines, optimize LLM inference and CI/CD, collaborate with cross-functional teams, run experiments and evaluations, and deliver scalable, production-ready AI systems.