Ohalo
Senior DevOps Engineer (Remote, 4hrs overlap with London UK / GMT)

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About Ohalo
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.
Location: Remote, convenient to London/GMT (4 hrs overlap with GMT timezone)
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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- 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.
YOU ARE
- 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.


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YOU HAVE
- 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)
OUR TECH STACK
- GitHub Actions
- Gradle
- Blacksmith.sh
- Docker / container image builds
- Ansible
- Hetzner, GCP and Azure
- Prometheus
- Grafana
- SonarCloud
- Chainguard (distroless/FIPS base images)
- Elasticsearch (including FIPS-hardened variant)
- MySQL / Liquibase
- MongoDB
- RabbitMQ
- Java
- Go
- Python
- RHEL
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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