10 beste Stellen als system engineer in basel bs – aktuell auf Personalsuche

Platform Engineer
TechBiz Global GmbH —Basel, BL
- 100%
- Homeoffice
- Master
- AWS
- C++
10 Tage
Senior Process Engineer
PM Group —Basel, BS
- Management-Erfahrung
- Produktion
- Kommunikationsfähigkeit
3 Tage
Innovation Chemical Laboratory Technician
Ecolab —Witterswil, SO
- 100%
- Englisch
- Bachelor
- Kommunikationsfähigkeit
- Aufstiegsmöglichkeiten
Innovation Chemical Laboratory Technician
Ecolab Inc. —Witterswil, SO
- 100%
- Englisch
- Bachelor
- Kommunikationsfähigkeit
- Aufstiegsmöglichkeiten
Lead Kernel Engineer/Architect
EPAM Systems, Inc. —Basel, BS
- C++
- Bachelor
- Ohne Hochschulabschluss
- Eltern-/Erziehungsurlaub
- Pensionskasse
B2 EASA Licensed Avionics Engineer
Jet Aviation —Basel, BS
- Wartung
- Englisch
- Microsoft Office
Fullstack Software Engineer (Java & Spring, Angular) (all genders)
adesso Schweiz —Basel, BS
- Englisch
- Java
- Datenbanken
- Homeoffice-Möglichkeit
Senior Software Engineer Java (all genders)
adesso Schweiz —Basel, BS
- Teilzeit
- Englisch
- Java
Senior Consultant Transport und Logistik (all genders)
adesso Schweiz —Basel, BS
- Teilzeit
- PMP
- Englisch
Erfahrene/r IT Cloud Architekt/in (m/w)
Damaris Meier Personalberatung GmbH —Basel, BS
- Englisch
- AWS

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Platform Engineer

TechBiz Global GmbH
Basel, BL

Jetzt bewerben

Details zur Stelle

100%
vor 10 Tagen

Qualifikationen

Slack
Google Cloud Platform
Master
AWS
C++
Bachelor
Terraform
GitHub
Erfahrung in der IT
Linux
Debugging

Vollständige Stellenbeschreibung

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Platform Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

As a Platform Engineer, you will play a key role in the infrastructure team, helping to own, operate, and evolve the confidential compute platform that powers a secure, developer-facing AI API.

The role is ideal for a hands-on, infrastructure-focused and security-minded engineer who enjoys working across Kubernetes, cloud infrastructure, on-premise systems, observability, automation, and low-level platform hardening.

Responsibilities:

Kubernetes Ownership: Be the Kubernetes maintainer. Own cluster operations end-to-end: upgrades, capacity, networking, RBAC, manifests/Helm charts, ongoing operations and maintenance, with operational and governance guidance from the lead. You make the calls; the lead is the sounding board, not the bottleneck.
Cloud Infrastructure: Run and evolve infrastructure on AWS, GCP, Azure, and others, leveraging each cloud's confidential compute primitives (Nitro Enclaves, Confidential VMs, Confidential Space) to scale the API and to host adjacent, non-API workloads.
On-Premise Operations: Operate and extend our on-premise confidential compute footprint: bare-metal provisioning, network topology, hardware lifecycle.
Observability: Own observability for the on-premise side of the platform. Design and operate the metrics, logs, and traces pipeline for bare-metal and CVM workloads where standard cloud-native observability falls short. Make the on-prem fleet as legible as a managed cluster.
Infrastructure as Code: Maintain provisioning and configuration via Ansible and IaC (Terraform or equivalent): reproducible, code-reviewed, no snowflake servers.
Platform Hardening: Harden the platform: OS hardening, network segmentation, secret rotation, and reproducible images.
Backend & API Development: Write and maintain backend services and the API gateway in Node.js / TypeScript. Contribute to performance-critical enclave-side code (we use Rust, willingness to learn is fine if you bring strong systems fundamentals).
Attestation & Cryptography: Contribute to the attestation pipeline and the cryptographic plumbing that connects clients, enclaves, and our API gateway.
Runbook Discipline: Enforce the runbook discipline: Every recurring operation, every incident class, every non-obvious recovery procedure gets a runbook. You write them, you keep them current, you push back when work ships without one. If something breaks at 3am, the next person on call does not guess.
Developer Experience: Help define SLOs and engage with developer users: triage SDK issues, reproduce bugs, ship fixes.

Linux: Strong Linux sysadmin background. You are comfortable on the shell, you understand systemd, networking (iptables/nftables, TLS, routing), file systems, and how to diagnose a misbehaving Linux box without panicking.
Kubernetes: Production Kubernetes experience as a maintainer, not a user. You have upgraded clusters, debugged CNI/DNS issues, written manifests/Helm charts, set up RBAC and network policies, and recovered a cluster that didn't want to be recovered.
Bare-Metal / On-Premise: Some bare-metal or on-premise experience. You've racked servers, configured IPMI, set up network gear, or worked in a colocation environment, even if it's not your primary background.
Cloud: Proficiency in at least one of AWS, GCP, or Azure. AWS and experience with Nitro Enclaves strongly recommended.
IaC: Configuration and IaC: Ansible and Terraform.
Node.js / TypeScript: Comfortable building and publishing SDKs, writing servers, debugging async code, dealing with packaging (npm, semver).
Observability: Observability fluency, especially for environments where you don't get a managed control plane for free: Prometheus, Grafana, Loki/Tempo, OpenTelemetry, or equivalents.
CI/CD: GitHub Actions, Buildkite, or equivalent.
Security Mindset: You think about threat models. You don't paste secrets into Slack. You read code with "what could go wrong here" running in the background.

Nice to have:

Rust: experience writing, reading, and debugging Rust, or strong systems programming background (C, C++, Go) with willingness to learn Rust. Our enclave-side performance-critical code is Rust.
Hands-on experience with confidential computing internals: Intel TDX, AMD SEV-SNP, AWS Nitro Enclaves, and/or similar TEE technology.
General understanding of applied cryptography.
Experience operating LLM inference workloads (vLLM, TensorRT-LLM, GPU scheduling).
Familiarity with the OpenAI API surface and the ecosystem of clients/SDKs built around it.
Reproducible builds, signed releases (Sigstore/cosign), supply chain security.
Open-source contributions you can point to.

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