Site Reliability Engineer Job at Hewlett Packard Enterprise (Wroclaw)

Job Description

Site Reliability Engineer. This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

Engage in and improve the whole lifecycle of services - from inception and design, through to deployment, operation, and refinement
Support development of services from planning phase before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews
Provide technical leadership and guidance to other team members on managing availability and performance of mission critical services, on building automation to prevent problem recurrence, and building automated responses for non-exceptional service conditions
Maintain services once they are living by measuring and monitoring availability, latency, and overall system health
Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity
Capacity planning the growth of cloud infrastructure
Improve operational processes such as deployments and upgrades
Manage execution of project priorities, deadlines, and deliverables
Be on an on-call rotation to respond to incidents that impact platform availability
Use your on-call shift to prevent incidents from happening
Experience in incident response, including conducting post-mortems and implementing lessons learned, enhances system reliability

Experience building and running reliable and fault-tolerant production cloud systems at scale on AWS
Coding infrastructure automation with Terraform, Terragrunt, Packer, CI/CD, and knowing how to use configuration management systems like Ansible
Hands-on experience with Linux/Unix operating systems internals, file systems, system tuning, administration, and networking
Deep experience in microservice technologies, container orchestration, and continuous deployment (Kubernetes, Docker, Helm, GitOps with Flux)
Experience in designing, building, maintaining production services, and troubleshooting large-scale distributed systems
Experience with technologies like Apache Kafka, Apache Storm, Apache Flink, Apache Airflow and Spark, Postgres, Redis, Elasticsearch, Arango, Cassandra
Experience with observability tools and methodology (monitoring, logging, tracing, SLOs/SLIs) for detecting and diagnosing issues in advance before causing service impact or performance degradation
Possess strong programming skills in Shell, Python, Golang and/or Ruby
Deliver efficiently and effectively
Strong problem-solving and debugging skills with a high sense of ownership

10+ years of engineering or systems experience
Experience leveraging cloud architecture, applying site reliability principles, and/or demonstrating sensitivity to operational concerns
Strong understanding of network design and architecture
Scaling and managing distributed systems
Significant experience with monitoring and observability platforms
Demonstrated ability to debug, fix, and optimize code
Troubleshooting skills across network, application, and distributed services layers
The ability to learn quickly and adapt to new technologies is essential
Excellent communications skills, both verbal and written