Join Our Team

About the Role

We are seeking a Full Stack Developer to build and evolve our AI-augmented product engineering platform. You will work on systems that enable enterprises to deploy AI models at scale, combining modern frontend frameworks with robust backend services. This role bridges product engineering and AI infrastructure, requiring expertise in both web technologies and data-intensive systems.

Key Responsibilities

• Design and develop full-stack features for our AI engineering platform, from React-based UIs to Python/Node.js backends
• Build APIs and services that integrate with Apache Spark, Databricks, and DeltaLake ecosystems
• Implement features for model versioning, experiment tracking, and production deployment pipelines
• Collaborate with data engineers and ML practitioners to understand requirements and deliver production-grade solutions
• Contribute to architectural decisions around scalability, performance, and reliability
• Mentor junior engineers and participate in code reviews

Required Skills

• 5+ years of full-stack development experience
• Strong proficiency in React, TypeScript, and modern JavaScript frameworks
• Backend development experience with Python, Node.js, or Java
• Experience with REST APIs, GraphQL, and microservices architecture
• Understanding of cloud platforms (AWS, Azure, or GCP)
• Familiarity with containerization (Docker, Kubernetes)
• Version control with Git and CI/CD pipelines

About the Role

We are looking for a Functional Tester to ensure the quality and reliability of our enterprise AI and data platforms. You will design and execute comprehensive test strategies covering functional, integration, and end-to-end scenarios. This role is critical in maintaining the high standards expected by our enterprise customers.

Key Responsibilities

• Design and execute functional test plans for data transformation and AI platform features
• Develop automated test scripts using industry-standard tools and frameworks
• Perform manual testing of complex data pipelines and AI model deployment workflows
• Identify, document, and track defects with clear reproduction steps
• Collaborate with developers to understand features and validate fixes
• Participate in regression testing and release validation
• Create and maintain test documentation and test case repositories

Required Skills

• 3+ years of functional testing and QA experience
• Experience with test automation frameworks (Selenium, Cypress, or similar)
• Knowledge of SQL for database validation
• Understanding of data pipelines and ETL processes
• Familiarity with cloud platforms and containerized environments
• Strong attention to detail and analytical skills
• Excellent communication and documentation abilities

About the Role

We seek an experienced Technical Solution Architect to translate complex business requirements into scalable, production-grade AI and data solutions. You will work directly with enterprise clients, internal engineering teams, and stakeholders to design architectures that deliver measurable business outcomes. This is a high-impact role combining technical depth with business acumen.

Key Responsibilities

• Engage with enterprise clients to understand business challenges and translate them into technical requirements
• Design end-to-end solutions for data transformation, analytics, and AI initiatives
• Create architecture diagrams, technical specifications, and implementation roadmaps
• Evaluate and recommend technology stacks, cloud platforms, and third-party tools
• Lead technical discussions with clients and internal teams
• Provide pre-sales technical support and proposal development
• Mentor engineers on solution design and best practices

Required Skills

• 8+ years of experience in enterprise architecture, solution design, or technical consulting
• Deep knowledge of data platforms (DeltaLake, Databricks, Spark, data warehouses)
• Strong understanding of cloud architectures (AWS, Azure, or GCP)
• Experience with AI/ML systems and deployment patterns
• Knowledge of enterprise security, compliance, and governance requirements
• Excellent communication and presentation skills
• Ability to work with C-level executives and technical teams

About the Role

We are seeking a Linux and OpenShift Container Platform Subject Matter Expert to architect and support our enterprise infrastructure. You will be responsible for designing, deploying, and maintaining highly available, secure, and scalable container platforms that support our data and AI workloads. This role requires deep expertise in Linux systems administration and OpenShift/Kubernetes technologies.

Key Responsibilities

• Design and implement enterprise-grade OpenShift and Kubernetes clusters
• Manage Linux infrastructure across on-premises and cloud environments
• Implement security hardening, access controls, and compliance requirements
• Optimize cluster performance, resource utilisation, and cost efficiency
• Develop automation and infrastructure-as-code solutions using Ansible, Terraform, or similar tools
• Troubleshoot complex infrastructure issues and performance bottlenecks
• Mentor junior infrastructure engineers

Required Skills

• 10+ years of Linux system administration experience
• 5+ years of hands-on OpenShift or Kubernetes experience
• Deep knowledge of Linux kernel, networking, and storage
• Experience with container technologies and Docker
• Strong scripting skills (Bash, Python, or Go)
• Knowledge of infrastructure automation and configuration management
• Understanding of security best practices and compliance standards

About the Role

We are hiring a Linux and Virtualization Subject Matter Expert to lead our infrastructure modernisation initiatives. You will design and implement virtualization solutions that support our enterprise data and AI platforms, ensuring high availability, performance, and cost efficiency. This role combines deep Linux expertise with advanced virtualization technologies.

Key Responsibilities

• Design and deploy enterprise virtualization solutions (KVM, VMware, or Hyper-V)
• Manage and optimise Linux-based virtual infrastructure
• Implement disaster recovery and business continuity solutions
• Develop automation for infrastructure provisioning and management
• Optimise resource allocation and cost efficiency
• Implement security controls and compliance requirements
• Lead infrastructure upgrade and migration projects

Required Skills

• 10+ years of Linux system administration experience
• 5+ years of virtualization platform experience (KVM, VMware, or Hyper-V)
• Deep knowledge of Linux kernel, networking, and storage
• Experience with infrastructure automation (Ansible, Terraform, etc.)
• Strong scripting and programming skills
• Understanding of high availability and disaster recovery concepts
• Knowledge of security hardening and compliance requirements

About the Role

We are seeking a Senior Data and AI Engineer to build and evolve our DeltaLake-based data platform. You will work on systems that enable enterprises to build AI-ready data estates, combining data engineering expertise with machine learning knowledge. This role is central to our data transformation offerings.

Key Responsibilities

• Design and implement scalable data pipelines using Apache Spark and DeltaLake
• Build data governance and quality frameworks
• Develop ML feature stores and model serving infrastructure
• Optimise data platform performance and cost efficiency
• Implement data security and compliance controls
• Mentor junior engineers and establish best practices
• Collaborate with solutions architects and customers

Required Skills

• 7+ years of data engineering experience
• Expert-level knowledge of Apache Spark and DeltaLake
• Strong Python or Scala programming skills
• Experience with cloud data platforms (Databricks, Snowflake, BigQuery, etc.)
• Knowledge of machine learning concepts and MLOps
• Understanding of data governance and quality frameworks
• SQL proficiency and database optimisation

About the Role

We are looking for a Solution Architect specialising in Operational Intelligence to help enterprises automate operations and drive business value through AI. You will design solutions that leverage real-time data and machine learning to optimise network operations, supply chains, manufacturing processes, and customer operations. This role combines deep technical expertise with business acumen.

Key Responsibilities

• Engage with enterprise clients to understand operational challenges
• Design AI and automation solutions for network, supply chain, and operational domains
• Create technical specifications and implementation roadmaps
• Evaluate and recommend AI/ML technologies and platforms
• Lead technical discussions with clients and stakeholders
• Provide pre-sales technical support and proposal development
• Mentor engineering teams on solution design

Required Skills

• 8+ years of experience in enterprise architecture or technical consulting
• Deep understanding of operational domains (network operations, supply chain, manufacturing, etc.)
• Knowledge of AI/ML technologies and deployment patterns
• Experience with real-time data processing and streaming
• Understanding of cloud platforms and infrastructure
• Excellent communication and presentation skills
• Ability to work with C-level executives and technical teams