Senior DataOps Engineer (Data Platform Reliability)

Location: London, United Kingdom; hybrid work with an office-first model and regular collaboration in the London office.

Company

hirify.global is a dual-use technology company building secure control infrastructure for frontier-class AI in government and regulated enterprise environments.

What you will do

• Build and maintain CI/CD and GitOps workflows for data applications, pipelines, configuration, and database changes, including validation, promotion, and rollback.
• Develop reusable tooling for scheduling, dependency management, retries, checkpoints, replay, and backfills.
• Establish monitoring and actionable alerts for pipeline freshness, completeness, processing latency, failures, and resource usage.
• Operate workload-owned data services and coordinate shared database, messaging, and storage services with platform owners.
• Implement and test backup restoration, interrupted-processing recovery, failed-upgrade recovery, enclave isolation, identity, secrets, and network controls.
• Investigate production incidents, improve runbooks, and automate recurring operational work.

Requirements

• Demonstrable experience operating production data pipelines or data platforms, with ownership of reliability and incident resolution.
• Strong practical Kubernetes, container, and Linux skills, including troubleshooting workloads, networking, resource limits, and persistent storage.
• Experience building automated delivery workflows using Git, CI/CD, and declarative configuration; familiarity with Helm, GitOps, or equivalent approaches.
• Python and shell scripting for automation, plus sufficient SQL to investigate processing failures and database performance.
• Experience with workflow orchestration such as Airflow, Dagster, Prefect, or an equivalent system.
• Understanding of reliable processing patterns including idempotency, bounded retries, duplicate delivery, incremental processing, and safe replay.
• Experience implementing metrics, logs, dashboards, and alerting with meaningful service and data reliability targets.
• Practical experience with stateful systems, controlled migrations, backup and recovery, secrets management, and least-privilege access.

Nice to have

• OpenShift, on-premises deployments, or environments with restricted connectivity.
• ArgoCD, Terraform, Prometheus, Grafana, or OpenTelemetry.
• Experience operating PostgreSQL, graph databases, document stores, or messaging systems.
• Experience delivering software in regulated or security-sensitive customer environments.

Culture & Benefits

• Office-first hybrid work model with regular collaboration in the London office.
• Inclusive, compassionate, and flexible culture focused on empowering employees to achieve their goals.
• Equity and competitive salary.
• Employer pension contributions and private health insurance.
• Gym membership, company retreats, and meetups designed to support connection and work-life balance.