About The Position
We're a fully remote company founded in 2017. We turn unstructured data into competitive advantage. Generative AI runs on unstructured data - the most valuable, yet most vulnerable asset enterprises have. To harness its power, market leaders require a new standard of governance: a complete understanding of where data is, what it contains, and how to manage its entire lifecycle securely. Data X-Ray sets that standard. You'll be helping to protect the data rights of millions of our clients' customers as the newest member of our talented team. At Ohalo we have a strong product mindset - we encourage our engineering teams to build an understanding of the product and market, in order to enable us to tackle client problems holistically and build the best solutions possible. We’re hiring a DevOps engineer working within our DevOps pod to: Improve our platform deployment for our clients Drive forward our internal CI/CD processes Design and implement a scalability and performance benchmarking platform, with our Product Engineering team as consumers.
Requirements
- On-the-job experience with container and deployment tools, such as Docker, Podman, Ansible, or other IAC tools.
- Thorough understanding of networking and security fundamentals e.g., configuring load balancers, issuing certificates, configuring VPC
- Experience of at least one of the major cloud platforms (e.g. AWS, Azure, GCP, Hetzner)
- Knowledge of best practices for on premise deployment and operations (blue/green deployment, database recovery management, monitoring tools and logging)
Nice To Haves
- Client focused - both to our clients, and our internal team representing a client base to this role.
- Pragmatic - we're a small company and prioritisation based on impact and future proofing is always challenging.
- Enthusiastic to become a part of a growing team and people-focused culture.
- Communicative and resourceful about solving problems.
- Trustworthy.
- Self-driven and able to work towards goals.
- AI forward thinking. We're willing to experiment, and pragmatically adopting AI into our workflows where it makes sense.
- Willing to work remotely and ideally in a timezone that overlaps with London for ~4 hours a day.
Responsibilities
- Work with our Engineers as your customers - doing what you can to enable the wider Technology team to focus on core product development.
- Design, propose and implement improvements to our deployment pipelines, environment provisioning, and benchmarking solutions, making the installation and configuration of Data X-Ray easier and more flexible for both clients and internal use.
- Work together with Customer Success engineers and Solution Architects to ensure we are meeting our client’s needs.
- Ensure our applications are using industry best practices in deployment, logging, monitoring, and security.
- Help to protect the data rights of millions of our client's customers.
Benefits
- Competitive Pay
- Meaningful Equity as a fast-growing company
- New workstation & home office stipend
- 25 Days Paid Vacation
- Flexible working: remote first
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
