Location
Remote, with approximately 4 hours overlap with London (GMT) timezone

Hours
Flexible remote working hours with required overlap to collaborate with London-based teams

Salary
Competitive salary, based in Central London market

About the Role
Ohalo is a fully remote company founded in 2017, focused on turning unstructured data into a competitive advantage. Our product, Data X-Ray, sets a new standard for data governance by providing complete visibility and secure lifecycle management of unstructured data, a critical asset for enterprises leveraging generative AI.

As a Senior DevOps Engineer, you will join our talented DevOps pod to improve platform deployment for our clients, drive internal CI/CD processes, and design a scalability and performance benchmarking platform consumed by our Product Engineering team.

You will work closely with engineers as your customers, enabling the wider technology team to focus on core product development. Your responsibilities will include designing, proposing, and implementing improvements to deployment pipelines, environment provisioning, and benchmarking solutions to make Data X-Ray installation and configuration easier and more flexible for both clients and internal use.

Collaboration with Customer Success engineers and Solution Architects will ensure client needs are met, while maintaining industry best practices in deployment, logging, monitoring, and security. Ultimately, you will help protect the data rights of millions of our clients' customers.

Experience
- On-the-job experience with container and deployment tools such as Docker, Podman, Ansible, or other Infrastructure as Code (IaC) tools
- Thorough understanding of networking and security fundamentals, including configuring load balancers, issuing certificates, and configuring VPCs
- Experience with at least one major cloud platform (AWS, Azure, GCP, Hetzner)
- Knowledge of best practices for on-premise deployment and operations, including blue/green deployment, database recovery management, monitoring tools, and logging

About You
- Client focused, serving both external clients and internal teams representing client needs
- Pragmatic and able to prioritize based on impact and future-proofing in a small company environment
- Enthusiastic about joining a growing team and contributing to a people-focused culture
- Communicative and resourceful problem solver
- Trustworthy, self-driven, and goal-oriented
- AI forward thinking, willing to experiment and pragmatically adopt AI into workflows where appropriate
- Comfortable working remotely with timezone overlap of approximately 4 hours with London (GMT)

Qualifications
No formal qualifications specified; emphasis is on relevant experience, skills, and a proactive attitude.