Job DescriptionAbout the RoleWe are seeking a hands-on Site Reliability & DevOps Engineer to support, automate, and optimize our production infrastructure, monitoring pipelines, and incident management workflows. In this role, you will help manage log aggregation, tune proactive alerting, automate cloud infrastructure, and assist in integrating AI-assisted developer tooling into our daily operational workflows.
Key Responsibilities- Incident Response & Reliability: Support on-call operations and incident lifecycle management using PagerDuty and Rundeck to streamline response times and reduce Mean Time to Resolution (MTTR).
- Observability & Log Analytics: Maintain centralized log aggregation, dashboards, and alerting rules across hybrid environments using Splunk and network monitoring tools (e.g., Zabbix, rsyslog).
- Infrastructure Automation: Write and maintain Infrastructure as Code (IaC) using Terraform and Ansible to manage containerized and virtualized environments (Docker, Proxmox/KVM, AWS).
- Scripting & Tooling: Develop custom automation scripts, internal API integrations, and maintenance tooling using Python, Bash/Shell, or Go.
- AI Tooling Adoption: Utilize modern AI development tools (e.g., Claude Code, GitHub Copilot, local LLM endpoints) to accelerate internal engineering workflows and assist with operational automation.
RequirementsRequired Qualifications- 3-6 years of experience in DevOps, Site Reliability Engineering (SRE), or Systems Administration.
- Incident Management: Strong hands-on experience setting up and managing services, schedules, and escalation policies in PagerDuty.
- Observability: Solid working knowledge of Splunk (writing SPL queries, creating dashboards, configuring log forwarders) and core telemetry tools.
- Automation & CI/CD: Practical experience with Terraform, Ansible, and containerization via Docker.
- Scripting Skills: Proficiency in Python or Shell scripting for day-to-day task automation.
- Operating Systems: Strong proficiency with Linux administration and troubleshooting.
Nice-to-Have Skills- Experience with automated runbook tools like Rundeck.
- Familiarity with multi-language setups (Go, Ruby, or JavaScript).
- Exposure to AI-assisted coding/ops workflows (e.g., Ollama, vLLM, or Model Context Protocol integrations).
- Background in virtualized infrastructure (Proxmox, Xen, ESX) or cloud platforms (AWS).
