Responsibilities
- Run the production environment by monitoring availability and taking a holistic view of system health
- Build software and systems to manage platform infrastructure and applications
- Improve reliability, quality, and time-to-market of our suite of software solutions
- Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
- Provide primary operational support and engineering for multiple large distributed software applications
Requirements
- 3-6 years of working experience in a similar role, with a focus on systems engineering, automation, and reliability.
- Proficiency in at least one programming language (e.g., Python, Go, Java, C#) and experience with scripting languages (e.g., Bash, PowerShell).
- Deep understanding of cloud computing platforms (e.g., AWS), the working and reliability constraints of some of the prominent services (e.g., EC2, ECS, Lambda, DynamoDB etc)
- Experience with infrastructure as code tools such as CloudFormation, Terraform.
- Deep understanding of CI/CD concepts and experience with CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
- Strong knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture.
- Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack, Cloudwatch).
- Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
- Experience of Incident management and blameless postmortems that includes driving the incident response efforts during outages and other critical incidents, resolution, and communication in a cross-functional team setup.
Nice to Have
- Handson experience of working with large Kubernetes Cluster. Certification will be an added plus.
- Working experience of Grafana Observability Suite (Loki, Mimir, Tempo).
- Administration and/or development experience of standard monitoring and automation tools such as Splunk, Datadog, Pagerduty Rundeck.
- Familiarity with configuration management tools like Ansible, Puppet, or Chef.
- Certifications such as AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, or equivalent.
Work Arrangement
Hybrid
Additional Information
- Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week.
- Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
