At a Glance
- Tasks: Deploy and maintain data science software for clients across various cloud environments.
- Company: Join a forward-thinking tech company focused on innovative solutions.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Collaborative team environment with a focus on continuous learning and improvement.
- Why this job: Make a real impact by ensuring client systems are stable and secure.
- Qualifications: Experience in DevOps or systems engineering with cloud provider knowledge.
The predicted salary is between 60000 - 80000 £ per year.
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 deployments
- Apply 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
Engineer in Newcastle upon Tyne employer: Jumping Rivers Ltd
Jumping Rivers is an exceptional employer that fosters a collaborative and innovative work culture, where engineers are empowered to take ownership of their projects and contribute to meaningful client solutions. Located in a vibrant tech hub, we offer competitive benefits, ongoing professional development opportunities, and a supportive environment that encourages continuous learning and growth. Join us to be part of a team that values your expertise and invests in your future while delivering high-quality data science infrastructure to our clients.
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We think this is how you could land Engineer in Newcastle upon Tyne
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We think you need these skills to ace Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
