Senior DevOps/SRE Engineer

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High Tech Engineering Center Kft.
Munkavégzés helye

Országos lefedettség

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- DEVOPS CLOUD AZURE DOCKER POWERSHELL GIT
Elvárások
- Nem kell nyelvtudás
- Nem kell tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Setup and maintenance of IT cloud infrastructure for multiple products
Setup and maintenance of the Automated build/deployment jobs
Maintenance of various support tools and utilities (logs, monitoring, gathering user feedback, etc.)
Monitoring application performance and resource planning
Coordinates with development and user teams to assess risks, goals, and needs and ensures that all are adequately addressed
Coordinates with the client's infrastructure team to align on prerequisites for the job-to-be-done and their expectations
Development of CI/CD pipeline scripts and templates

Requirements

Deep understanding of complete software development life cycle and experience in software development
Strong understanding and hands-on experience with Azure ecosystem
Strong understanding and hands-on experience with Azure DevOps (Azure Pipelines)
Strong understanding and hands-on experience with Kubernetes (AKS)
Strong understanding and hands-on experience with Docker
Strong understanding and hands-on experience with networking concepts
Experience with Terraform and Powershell
In-depth knowledge of SCM tools (preferably Git)
Proactive problem-solving and ownership mindset
Strong communication and collaboration skills
Deep, practical understanding of SRE principles with demonstrated ownership of production reliability
Proven experience defining, enforcing, and evolving SLIs, SLOs, and error budgets for complex systems
Hands-on responsibility for high-availability, mission-critical platforms operating at scale
Expert-level experience with observability systems (metrics, logs, traces) and building signal-driven alerting that minimizes noise
Ability to diagnose and resolve systemic issues across Kubernetes, cloud infrastructure, networking, and application layers
Demonstrated experience in capacity planning, performance engineering, and cost-aware scaling
Expertise in designing and enforcing resilience and failure-tolerant architectures (self-healing, redundancy, graceful degradation)
Strong production change discipline, including safe rollouts, rollback strategies, and risk management