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Deploy and configure Actonomy Core for customers, support integrations with customer systems and data sources, troubleshoot implementation issues, gather feedback, and translate business needs into product improvements. The role combines software engineering, customer consulting, implementation delivery, and product thinking, while creating reusable deployment assets and supporting AI adoption and value realization.

Develop and maintain production software applications integrating AI services and data science models. Apply machine learning approaches, mathematical principles, and secure, scalable development patterns. Contribute to architecture, technical decisions, estimation, product planning, and requirements creation. Design applications across multiple layers, troubleshoot live systems, and mentor junior engineers. Collaborate with technical and non-technical stakeholders while balancing user needs and commercial constraints.

As a Lead Platform Engineer at Kainos, you'll lead teams to design and manage digital service platforms, mentor colleagues, and ensure successful project outcomes using modern technologies.

As a Senior Platform Engineer, you'll design and support digital service platforms, ensuring quality, scalability, and security while collaborating with teams to improve services.

Implement and configure enterprise-scale Workday Payroll solutions for global customers. Gather requirements, design aligned solutions, manage workloads independently, collaborate with delivery teams, support junior consultants, and deliver consulting and application management services within agreed SLAs. Build customer relationships, communicate effectively, maintain quality and confidentiality, improve tools and processes, and support customer-site engagements with minimal travel.

Manage day-to-day support delivery for the Kainos EDM product, including ticket triage, incident management, SLA performance, customer reporting, escalations, releases, governance, and continuous improvement. Lead geographically distributed support teams, coordinate with Product, Engineering, and Sales, manage client relationships, support post-deployment success, and contribute to account growth. Ensure ITIL-aligned processes, quality standards, security, ISO compliance, capacity planning, and effective customer transitions from onboarding to ongoing support.

Lead consulting, discovery, advisory, and shaping engagements for Microsoft Business Applications, Power Platform, Copilot, and AI-enabled business processes. Facilitate stakeholder workshops, assess services and processes, define requirements and roadmaps, shape operating models and governance, establish value measures, and guide adoption and organizational change. Collaborate with multidisciplinary teams while advising on responsible AI, privacy, security, regulatory, and human oversight considerations. Contribute to proposals, business development, reusable consulting assets, coaching, and people management.

Leads software engineering teams in designing, building, testing, and maintaining modern, scalable, secure applications. Owns technical architecture, estimation, product planning, and requirements development. Provides technical direction, manages and coaches team members, mentors colleagues, collaborates with customers, and supports knowledge sharing. Applies continuous integration and delivery practices, software development principles, and approaches such as XP and TDD. Troubleshoots live applications and works with cloud platforms including AWS and Azure.

Design and deliver production-grade AI/ML solutions for Kainos Workday products, including LLM-driven features, model deployment, dashboards, and mentoring junior staff. Collaborate with engineering and clients to improve product functionality, scalability, and efficiency.

Provide post-deployment Workday EDM configuration, troubleshooting, advisory, and customer support. Manage requests within SLAs, investigate root causes, support releases and deployments, document solutions, maintain security and privacy compliance, and assist with customer escalations. Collaborate with internal support, product, engineering, and delivery teams while contributing to knowledge sharing and process improvements.