Software Implementation and Deployment Engineer - Remote

ENVIRONMENT:

A leading AI software company seeks a Software Implementation and Deployment Engineer to join their growing team. The role combines ownership of customer-hosted deployments with responsibility for backend and deployment architecture. The primary focus is deploying their customer-hosted software in client environments, taking end-to-end technical ownership. Responsibilities include working with clients to design suitable deployment architectures, configuring cloud infrastructure, integrating systems, supporting authentication and networking, and resolving deployment and runtime issues.

The role may also involve hands-on support, including limited scripting or automation for customer-specific needs. The secondary focus is internal platform engineering, contributing to backend improvements, deployment and release automation, migration planning, and operational reliability. Ensuring secure, resilient backend design and consistent deployment standards is a key responsibility.

DUTIES:

Customer Focus – Implementation and Deployment

• Take end-to-end technical ownership of the deployment success of the customer-hosted software component across cloud and on-premises environments. Involvement will range from architecture discussions only to doing full implementations.
• Work directly with the customer’s technical stakeholders to assess infrastructure requirements and constraints, design deployment architectures, and guide implementations through to successful production rollout.
• Support integration of the customer-hosted component with customer systems and services, including identity providers, integration to core applications and orchestration.
• Develop and apply deployment automation, configuration scripts, and tooling to support consistent, repeatable customer installations and upgrades.
• Provide limited bespoke scripting or configuration to accommodate customer-specific requirements or environmental constraints where necessary.
• Support customer upgrade and migration activities, including coordination, validation, and issue resolution during version transitions.

Internal Focus – Platform and Deployment Engineering

• Contribute to the continuous improvement of backend and deployment architecture to improve reliability, scalability, and maintainability.
• Design, maintain, and improve deployment and release processes, including automation and tooling used for both internal and customer-hosted environments.
• Collaborate with internal engineering teams to diagnose and resolve backend, deployment, and operational issues.
• Help keep the backend technology stack current by evaluating and adopting improvements to frameworks, tooling, and deployment practices where appropriate.
• Embed security and vulnerability management practices into backend design, deployment workflows, and operational processes.

REQUIREMENTS:

Required Skills & Experience

Education:

• Bachelors in computer science, or equivalent infrastructure and training/experience
• Cloud certification with at least one cloud provider

Essential – Client Engagement Skills:

• Ability to engage confidently and professionally with customer technical stakeholders, acting as a trusted advisor throughout implementation and deployment activities.
• Strong communication skills, with the ability to explain technical concepts, constraints, and trade-offs clearly to both technical and non-technical audiences.
• A consultative approach to customer interactions, balancing customer requirements with platform standards, security considerations, and long-term maintainability.
• Proven ability to build and maintain trust with customers by taking ownership of issues, setting realistic expectations, and delivering reliable outcomes.
• Comfortable operating in customer-priority environments, demonstrating sound judgement when managing competing demands, escalations, and time-sensitive deployment activities.

Essential – Backend, Containerization & Data:

• Proficient with Docker, including multi-stage builds, image optimization, Docker Compose, and Docker Swarm.
• Experience deploying and maintaining Kubernetes clusters, including cluster configuration, workload deployment, and ongoing maintenance.
• Strong experience…