Operations Engineer

About the company

• Partner company focused on enterprise technology reliability through intelligent automation and AI-powered diagnostics.

Responsibilities

• Manage incoming technical support tickets and drive issues toward timely resolution.
• Identify recurring incidents and develop AI-assisted automation solutions.
• Participate in a rotating on-call schedule, including weekends.
• Build and maintain monitoring dashboards using Grafana, Tableau, and Superset.
• Apply AI-assisted tools including LLM solutions and coding assistants.
• Design and implement intelligent automation workflows and self-healing monitoring.
• Develop and optimize operational scripts using Python, Go, JavaScript, TypeScript, and Bash.
• Monitor observability metrics, alerts, data pipelines, and infrastructure performance.
• Improve incident response times and reduce MTTR.
• Collaborate with global technology and business stakeholders.
• Support infrastructure automation using IaC, CI/CD, and cloud tooling.
• Maintain operational runbooks and incident documentation.
• Work with enterprise SaaS platforms and identity management systems.

Requirements

• At least 3 years of experience with observability platforms such as Prometheus, Grafana, Datadog, or Elasticsearch.
• At least 3 years of experience with data querying and pipelines including SQL, Airflow, Trino, or SQS.
• Proficiency in Python, Go, JavaScript, TypeScript, or Bash.
• Hands-on experience with AWS, GCP, or Oracle Cloud Infrastructure.
• Knowledge of IaC, CI/CD pipelines, and tools like Jenkins, Argo CD, or GitHub Actions.
• Understanding of monitoring strategies, incident management, and root-cause analysis.
• Working knowledge of networking fundamentals and hardware (Cisco, Palo Alto).
• Experience with Jira and Confluence.
• Familiarity with AI-powered productivity and development tools.
• Experience with enterprise SaaS applications (Salesforce, Workday) and SSO/identity management (Okta) is an advantage.
• Strong analytical and problem-solving skills.
• Excellent organizational skills and attention to detail.
• Strong written and verbal communication skills.
• Ability to work independently and manage competing priorities.
• Proactive, continuous-improvement mindset.

Conditions

• Remote work opportunities.