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6 дней назад

Senior Software Engineer (DevOps/Kubernetes)

57 700 - 72 100€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Austria/Slovenia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer (DevOps/Kubernetes): Operating and evolving Kubernetes-based sovereign production platforms for satellite imagery and data services with an accent on infrastructure automation, reliability, security, and data residency. Focus on defining SLOs, managing incidents and stateful systems, improving disaster recovery, and deploying consistent services across constrained environments.

Location: Hybrid role based in Ljubljana, Slovenia or Graz, Austria; office attendance required 3 days per week.

Salary: €57,700–€72,100 gross annually, with potential discretionary bonuses and equity.

Company

hirify.global designs, builds, and operates a large constellation of imaging satellites and delivers satellite data through a cloud-based platform for commercial, environmental, and humanitarian users.

What you will do

  • Operate and evolve Kubernetes-based platforms across the Copernicus Data Space Ecosystem and other sovereign deployments, including upgrades, capacity planning, networking, autoscaling, and deployment under data residency constraints.
  • Build reproducible infrastructure-as-code and GitOps-style release workflows using Terraform, Helm, and GitLab CI.
  • Own platform reliability by defining SLIs and SLOs, creating alerts and Grafana dashboards, load testing, maintaining runbooks, and reporting availability against SLAs.
  • Respond to incidents, lead blameless post-mortems, participate in the on-call rotation, and implement lasting reliability improvements.
  • Operate PostgreSQL/PostGIS, object storage, and search indices, including backup, restore, and disaster recovery.
  • Contribute to security and compliance, collaborate with customer technical teams, review infrastructure changes, mentor teammates, and use AI tooling responsibly.

Requirements

  • 6+ years of DevOps, SRE, or infrastructure engineering experience, including production operation of distributed, low-latency, high-volume services.
  • Bachelor’s degree in Computer Science, Geosciences, or a related technical field, or equivalent practical experience.
  • Hands-on production experience with Kubernetes or Nomad, including troubleshooting, upgrades, ingress, networking, resource management, and autoscaling.
  • Experience with infrastructure as code and CI/CD, including Terraform, Helm, GitLab CI, Git, and Docker.
  • Experience with monitoring and observability tools such as Prometheus, Grafana, and centralized logging, including meaningful alert definition.
  • Solid Linux and networking fundamentals, plus scripting or programming with Python, Go, or Bash.
  • Experience with GCP, AWS, OpenStack, or comparable infrastructure, including S3 or similar object storage.
  • Operational experience with relational databases, ideally PostgreSQL; incident management and on-call participation.
  • Excellent written and verbal communication, ability to write design proposals, collaborate across time zones, learn quickly, work through ambiguity, and make sound decisions under pressure.
  • Professional working proficiency in English is required.

Nice to have

  • Experience with sovereign, regulated, or public-sector environments, data residency requirements, ISO 27001, or comparable security frameworks.
  • Experience with GitOps tools such as Argo CD or Flux.
  • Experience operating Java services, including JVM tuning and memory or garbage-collection troubleshooting, and Elasticsearch or OpenSearch.
  • Familiarity with Earth Observation data and standards such as COGs, STAC, OGC web services, or openEO.

Culture & Benefits

  • People-centric culture with a focus on belonging, inclusion, and humanitarian impact.
  • Paid vacation, holidays, and company-wide days off.
  • Employee Wellness Program, home office reimbursement, and monthly phone and internet reimbursement.
  • Tuition reimbursement and access to LinkedIn Learning.
  • Equity and paid volunteering time off, subject to employment type, location, applicable law, and company policy.
  • AI tools may be used for interview preparation, but are prohibited during live interviews or assessments unless explicitly permitted; interview recording with AI transcription requires candidate consent and allows opting out.

Hiring process

  • Applications are reviewed on a rolling basis and may close early once a suitable applicant pool is received.
  • Applicants may request accommodations during the hiring process; selected interviews may use AI-assisted recording and transcription with prior notification and an opt-out option.

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