Jumping Rivers Ltd

Jumping Rivers Ltd is seeking a DevOps Engineer to build, deploy, and maintain infrastructure supporting client projects, with a focus on Posit product deployments across AWS, Azure, GCP, and on prem environments. You will manage infrastructure as code, configure authentication and networking, and run CI/CD pipelines, while providing hands on client support to ensure secure, scalable, and reliable live deployments.

The DevOps Engineer is responsible for building, deploying, and maintaining infrastructure that supports Jumping Rivers' clients, with a particular focus on Posit product deployments across cloud and on premises environments. The role combines infrastructure engineering, automation, and CI/CD pipeline management with hands on client support, ensuring systems are deployed to a high standard and remain secure, scalable, and reliable once live. Key Accountabilities Infrastructure Deployment (40%) Deploy and configure Posit Connect, Posit Workbench, and Posit Package Manager for clients across AWS, Azure, GCP, and on premise environments Provision infrastructure using Infrastructure-as-Code tools (e.g. Terraform, Ansible) Configure authentication, SSO, and access control integrations (e.g. LDAP, SAML, OAuth) Set up networking, security, and compliance configurations (VPCs, firewalls, SSL/TLS) Work with containerisation and orchestration tools (Docker, Kubernetes) where relevant to deployment architecture CI/CD & Automation (20%) Design, build, and maintain CI/CD pipelines for client deployments Develop scripts and tooling to automate repeatable deployment and configuration tasks Contribute to internal tooling that improves deployment speed, consistency, and reliability Support & Maintenance (30%) Monitor, troubleshoot, and maintain Posit systems post deployment Apply patches, upgrades, and version updates to Posit products and underlying infrastructure Diagnose and resolve infrastructure, networking, and application level issues Support performance tuning and capacity planning across client environments Client Liaison & Collaboration (10%) Liaise directly with clients to scope infrastructure requirements and troubleshoot issues Communicate technical work clearly to non technical stakeholders Collaborate with data scientists to ensure infrastructure meets project needs Write and maintain clear technical documentation for deployments and support processes Academic Qualifications Degree in Computer Science, Software Engineering, IT, or a related technical field, or equivalent professional experience Relevant cloud or infrastructure certifications (e.g. AWS, Azure, GCP) are desirable but not essential Skills and Experience Technical Skills Essential Experience in a DevOps, infrastructure, or systems engineering role Hands on experience with at least one major cloud provider (AWS, Azure, or GCP) Experience with Infrastructure-as-Code (Terraform, Ansible, or similar) Comfortable working in Linux environments Understanding of networking fundamentals (DNS, load balancing, VPNs, firewalls) Strong, methodical troubleshooting skills Desirable Direct experience deploying or administering data science software Familiarity with R and/or Python ecosystems Experience with containerisation (Docker/Kubernetes) Scripting experience (Bash, Python) for automation Experience with monitoring/observability tooling (Grafana or similar) Experience with Databricks Soft Skills Experience working in a consultancy or client facing environment Excellent communication skills, with the ability to explain technical issues to non technical clients Ability to manage multiple client deployments and support requests concurrently Can demonstrate initiative and ownership of tasks Experienced in owning the delivery of individual work from start to finish

Job Purpose The Engineer is responsible for deploying, configuring, and maintaining data science software, e.g. Posit for Jumping Rivers' clients across cloud and on-premise environments. The role combines hands on infrastructure delivery with ongoing technical support, ensuring client systems are deployed to a high standard and remain stable, secure, and performant once live. You will work closely with clients and the wider Engineering team to deliver reliable infrastructure. Key Responsibilities Deployment Deploy and configure data science software for new clients across AWS, Azure, GCP, and on-premise environments Provision infrastructure using Infrastructure-as-Code tools (e.g. Terraform, Ansible) Configure authentication, SSO, and access control integrations (e.g. LDAP, SAML, OAuth) Set up networking, security, and compliance configurations (VPCs, firewalls, SSL/TLS) Document deployment architecture and configuration for each client environment Support & Maintenance Provide ongoing technical support for client environments, responding to and resolving support tickets Monitor system health, performance, and availability across client deploymentsApply patches, upgrades, and version updates to data science software and underlying infrastructure Troubleshoot and resolve infrastructure, networking, and application level issues Escalate and coordinate with third party support where required Client Liaison Act as a technical point of contact for clients on deployment and support matters Scope infrastructure requirements for new deployments in collaboration with clients Communicate technical issues, fixes, and maintenance work clearly to non technical stakeholders Support onboarding of new clients onto systems Internal Collaboration & Process Improvement Contribute to internal tooling, automation, and documentation to make deployments faster and more repeatable Share knowledge with the wider Engineering team on deployment best practice and recurring issues Technical Skills Essential Experience in a DevOps, infrastructure, or systems engineering role Hands on experience with at least one major cloud provider (AWS, Azure, or GCP) Experience with Infrastructure-as-Code (Terraform, Ansible, or similar) Comfortable working in Linux environments Understanding of networking fundamentals (DNS, load balancing, VPNs, firewalls) Strong, methodical troubleshooting skills Desirable Direct experience deploying or administering data science software Familiarity with R and/or Python ecosystems Experience with containerization (Docker/Kubernetes) Scripting experience (Bash, Python) for automation Experience with monitoring/observability tooling (Grafana or similar) Soft Skills Experience working in a consultancy or client facing environment Excellent communication skills, with the ability to explain technical issues to non technical clients Ability to manage multiple client deployments and support requests concurrently Can demonstrate initiative and ownership of tasks Experienced in owning delivery of individual work from start to finish

Jumping Rivers Ltd is seeking an Engineer to deploy, configure, and maintain data science software for clients across cloud and on-premise environments. You will blend hands-on infrastructure delivery with ongoing technical support to keep systems stable, secure, and performant. You will work closely with clients and the wider Engineering team to deliver reliable deployments, monitor health, and assist with security and compliance.