Role overview
This Technical Solutions Architect sits within a Professional Services team that owns the client journey from initial deployment to running production-grade scientific computing workloads. The role blends cloud infrastructure deployment, client-facing technical leadership, and tooling/automation work, serving life sciences and biotech organizations that need to operationalize data pipelines at scale. It is a generalist position with areas of specialization, suited to someone energized by switching between hands‑on engineering and structured client conversations.
Responsibilities
- Lead end‑to‑end client implementations across cloud, hybrid, and on‑prem environments, from requirements gathering through to a working platform deployment.
- Stand up the underlying infrastructure, including networking, DNS, TLS, private certificate authorities, identity and secrets management, container runtimes, and storage layers.
- Deliver within varying client access models, guiding customer IT teams through changes while respecting security and compliance constraints.
- Build deployment tooling and automation with pre‑flight checks, clear failure modes, tests, and documentation so non‑experts can run them reliably after handover.
- Partner with pre‑sales teams to shape solutions and run proof‑of‑concept deployments.
- Act as a senior escalation point and convert recurring client issues into durable product and process improvements alongside internal engineering.
Requirements
- Strong depth in at least one major cloud provider (AWS, Azure, or GCP).
- Solid grasp of infrastructure fundamentals: networking, DNS, TLS, IAM, secrets management, and container runtimes.
- A computing or technical background with the ability to operate across both implementation and client engagement.
- Experience in technical pre‑sales and working in startup‑style environments.
- Hands‑on familiarity with Nextflow or comparable workflow orchestration tooling.
Nice to have
- Multi‑cloud expertise and exposure to HPC schedulers such as SLURM or Grid Engine.
- Real fluency with AI‑assisted tooling for infrastructure‑as‑code, scripting, runbooks, and documentation, paired with the judgment to review and own the outcome.
Benefits and work setup
- Flexible working hours within an international team environment.
- 23 vacation days plus 3 additional days in December and local public holidays.
- Equity participation, private health insurance, and private life insurance.
- Meal benefits, a home office bonus, a mental health app subscription, and an annual learning and development budget.