Digital Tech Lead

Location

Riyadh, Riyadh Region, Saudi Arabia We're at the forefront of our clients' digital transformation journey , successfully implementing emerging digital services into our clients' projects and operations that unlock a step change in their performance. Join the team to improve project outcomes, leverage the digital twin , deliver systems integration and interoperability, and support decision-making, autonomous execution , and integrated operations and performance centers. Hatch is seeking a highly motivated Digital Tech Lead with strong front-end and back-end capabilities, demonstrated fluency in AI-assisted development workflows, and the ability to act as the technical go-to for a small group of contributors (including developers and data engineers), to join the Product Development team in the Digital Practice. Join our diverse team and award-winning culture and be part of our clients digital transformation journey. This journey will lead to better outcomes for our clients, people and the planet through innovative decision-making support, autonomous execution, integrated operations and innovative new technology-based solutions. This is an excellent career opportunity for a creative individual who strives to deliver superior digital products in an industry of accelerated change and innovation. This role is within our Digital Products group and focuses on identifying, designing, building and productizing Hatch deep subject matter expertise across a portfolio of bespoke client engagements that range from net-new builds to revitalization of existing solutions. Hatch is all about innovation. We challenge our clients with innovative ideas that help them take their business to higher levels. We challenge our employees to act as entrepreneurs in a flat, connected organization to solve our clients problems. A successful Digital Tech Lead at Hatch is a passionate, outcome-oriented person with exceptional communication skills who is confident operating across multiple engagements, treats AI as a first-class collaborator in their daily workflow, and is comfortable being the technical point of reference for other contributors including developers and data engineers drawn into the work. A successful candidate would: Operate as the technical go-to for a small group of contributors across the bespoke engagement portfolio, including developers and data engineers Provide mentorship, code review and architectural direction to project team, and help shape quality products and solutions Operate effectively across a small portfolio of concurrent engagements, owning delivery end-to-end from clarification of requirements through deployment Apply mature AI-assisted development practices prompt design, agent workflows, multi-file refactors, and disciplined human review of AI-generated code as a core part of how they deliver Understand how to work in Agile teams to complete the committed backlog, and be equally effective when operating semi-autonomously on smaller engagements Execute user stories according to acceptance criteria and participate fully in estimating, sprint planning, software development life cycle activities, code reviews, testing, research, deployments and documentation creation Contribute to design and architecture investigations and decisions across both front-end and back-end concerns Emphasize collaboration and communication within and outside of the team to continually improve the process of software delivery Communicate open items, risks and trade-offs to key stakeholders, including management Remain abreast of technology developments and AI tooling advancements relevant to current and future initiatives and development work Work well in a team environment with shared code; disciplined use of source control and process documentation Required skills and

Experience

8+ years experience working on a development team, with proven capability operating across both front-end and back-end stacks Demonstrated experience mentoring developers and acting as the technical reference point for a small team Proven capabilities in the following technologies: In-depth knowledge of C#/.NET (current LTS) and ASP.NET-based services Strong experience building APIs with GraphQL Strong proficiency with React (TypeScript) Experience with MongoDB, including hosted deployments on MongoDB Atlas Regular usage of Azure DevOps (repos, boards, pipelines) and GitHub Design patterns and clean architecture practices Demonstrable, current experience using AI coding assistants (e.g. GitHub Copilot, Claude Code) as a core part of daily delivery including agent-based workflows, multi-file refactors, and disciplined human review of AI-generated code. Candidates should be able to speak concretely to the workflows they have established and the productivity gains they have observed. AI fluency is treated as a core competency for this role, not an optional accelerator. Strong written and verbal communication skills, including the ability to communicate with different levels of stakeholders from different parts of the world Experience with Agile and Kanban methodologies and working in teams of mixed disciplines Self-starter, organized and able to operate with minimal supervision Bachelor s degree in Computer Science (or equivalent combination of education, training and work experience) Preferred: Working familiarity with Microsoft Azure services used in our stack including Storage Accounts, B2C, Key Vault, API Services and Functions sufficient to develop and troubleshoot against them Experience designing end-to-end solutions and/or products Experience working alongside data engineers and other cross-discipline contributors Experience evaluating new development frameworks and technologies and providing adoption recommendations

Desired Candidate Profile

Operate as the technical go-to for a small group of contributors across the bespoke engagement portfolio, including developers and data engineers Provide mentorship, code review and architectural direction to project team, and help shape quality products and solutions Operate effectively across a small portfolio of concurrent engagements, owning delivery end-to-end from clarification of requirements through deployment Apply mature AI-assisted development practices prompt design, agent workflows, multi-file refactors, and disciplined human review of AI-generated code as a core part of how they deliver Understand how to work in Agile teams to complete the committed backlog, and be equally effective when operating semi-autonomously on smaller engagements Execute user stories according to acceptance criteria and participate fully in estimating, sprint planning, software development life cycle activities, code reviews, testing, research, deployments and documentation creation Contribute to design and architecture investigations and decisions across both front-end and back-end concerns Emphasize collaboration and communication within and outside of the team to continually improve the process of software delivery Communicate open items, risks and trade-offs to key stakeholders, including management Remain abreast of technology developments and AI tooling advancements relevant to current and future initiatives and development work Work well in a team environment with shared code; disciplined use of source control and process documentation Required skills and

Experience

8+ years experience working on a development team, with proven capability operating across both front-end and back-end stacks Demonstrated experience mentoring developers and acting as the technical reference point for a small team Proven capabilities in the following technologies: In-depth knowledge of C#/.NET (current LTS) and ASP.NET-based services Strong experience building APIs with GraphQL Strong proficiency with React (TypeScript) Experience with MongoDB, including hosted deployments on MongoDB Atlas Regular usage of Azure DevOps (repos, boards, pipelines) and GitHub Design patterns and clean architecture practices Demonstrable, current experience using AI coding assistants (e.g. GitHub Copilot, Claude Code) as a core part of daily delivery including agent-based workflows, multi-file refactors, and disciplined human review of AI-generated code. Candidates should be able to speak concretely to the workflows they have established and the productivity gains they have observed. AI fluency is treated as a core competency for this role, not an optional accelerator. Strong written and verbal communication skills, including the ability to communicate with different levels of stakeholders from different parts of the world Experience with Agile and Kanban methodologies and working in teams of mixed disciplines Self-starter, organized and able to operate with minimal supervision Bachelor s degree in Computer Science (or equivalent combination of education, training and work experience) Preferred: Working familiarity with Microsoft Azure services used in our stack including Storage Accounts, B2C, Key Vault, API Services and Functions sufficient to develop and troubleshoot against them Experience designing end-to-end solutions and/or products Experience working alongside data engineers and other cross-discipline contributors Experience evaluating new development frameworks and technologies and providing adoption recommendations Experience with software quality assurance methodologies and technologies Experience building consensus across teams Considered an asset: Familiarity with Google Cloud services Experience adapting development practices for AI-augmented teams (workflow design, agent tooling, review discipline) A strong appreciation for all skillsets needed to build amazing products, including (but not limited to) subject matter experts, engineers, designers and user experience practitioners