DevOps Engineer

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

• 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, + 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