Site Reliability Engineer

As part of this transition, you also help optimize cloud-based systems, reduce manual work, and drive continuous improvements, playing a vital role in the organization’s overall success and long-term stability.

What to expect

• Refine Monitoring and Observability: Enhance system monitoring with tools like Prometheus, Grafana, and ELK Stack, ensuring visibility and alignment with business objectives.
• Automate Deployments and Workflows: Transition manual processes to automated solutions using IaC tools (e.g., Terraform, Ansible) to streamline deployments and improve operational efficiency.
• Optimize CI/CD Pipelines: Improve pipeline architecture for fast, reliable releases, ensuring scalability and resilience to handle high volumes of changes.
• Cloud Infrastructure Management: Help scale cloud-based systems on platforms like AWS, GCP, and Azure while minimizing technical debt and operational complexity.
• Incident Response and Post-Mortem: Support incident management and lead post-mortem analysis, ensuring continuous improvement and knowledge sharing.
• Collaborate with Cross-Functional Teams: Work closely with engineering and product teams to integrate reliability practices into the development lifecycle and prioritize reliability efforts.
• Drive Technical Innovation: Introduce and champion new tools, technologies, and practices that improve system reliability, performance, and scalability.

What you bring

• DevOps, Cloud Operations, or SRE Expertise: A solid understanding of DevOps, Cloud Operations, or SRE principles, with a focus on reliability and scalability.
• Advanced Linux Internals Expertise: Hands-on experience with Linux systems, including performance tuning, kernel configurations, and troubleshooting.
• Programming Languages: Proficiency in programming languages such as Go (preferred) or Python, with a focus on building tools and automating processes.
• Scripting Skills: Strong skills in scripting languages like Python, Bash, or Go to automate workflows, streamline tasks, and manage infrastructure.
• Cloud Infrastructure Knowledge: Extensive experience with cloud platforms like AWS, GCP, and Azure, along with expertise in monitoring/logging frameworks and CI/CD pipelines.
• Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and other containerization technologies for building and deploying scalable applications is a nice to have.
• Problem-Solving and Collaboration: Strong problem-solving skills, system design experience, and the ability to collaborate effectively across teams.