EVERTZ POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
15. 9. 2025
Informacje o stanowisku
technologies-expected :
Python
observability services
Datadog
CloudWatch
AWS
Linux
Networking
system administration
SLOs/SLIs
technologies-optional :
CloudFormation
Terraform
Security
Serverless computing
Security Compliance
Performance Optimization
responsibilities :
We’re looking for highly motivated, passionate site reliability engineers to join our growing team. At evertz.io, our teams are building services that are used by the biggest names in the exciting broadcast and media industry. Our services are hosted in AWS, with a Serverless First mindset.
As part of this role you will work with our talented teams to help harden our multi-tenant SaaS platform. Using best in class observability tooling, you will be working to debug incidents, while also identifying and implementing improvements to the platform to ensure its continued reliability. Your drive to eliminate toil will see you automating processes and building the tools to do so.
requirements-expected :
At least 3 years of hands-on experience managing critical, high-availability production infrastructure, demonstrating success in maintaining reliability and maximizing application uptime.
Proficient in at least one programming language (such as Python, Java, or Rust), with experience designing and building production-quality automation, tools, or software libraries.
At least 3 years working with monitoring, log aggregation, and observability platforms such as Datadog, CloudWatch, Honeycomb, Splunk, or New Relic, using data-driven insights to proactively identify and resolve issues.
Excellent analytical skills with the ability to understand end-to-end use cases, map system flows, debug complex issues, and anticipate potential failure points.
Proven track record translating SLO’s and SLI’s into actionable improvements. Reliability, monitoring, and observability are not just words to you.
At least 3 years of experience with cloud technologies, in particular AWS Services and tools such as Cloud Formation, Lambda, DynamoDB, SQS, SNS, EC2, S3, AWS CLI, Boto3.
Solid foundation in Linux systems administration, networking, and security.
Familiarity with the use and configuration of CI & CD pipelines such as Jenkins & AWS CodePipeline.
