Devops Engineer

• Exp: 5-8 years

Scripting & Automation

• Groovy Scripting: Experience in writing Jenkins pipelines using Groovy for CI/CD automation.
• Familiarity with Jenkins backend is desired, including setup, installation, and upgrading Jenkins.
• Shell Scripting: Proven experience writing and maintaining robust shell scripts for automating system tasks, process orchestration, log management, and deployment workflows.
• Strong command-line proficiency with the ability to write efficient, reusable code.
• Experience troubleshooting shell scripts in production environments.
• Experience interacting with RESTful APIs using shell scripting (e.g., via curl, HTTPS, or similar tools) for data retrieval, automation, and integration.
• Python Scripting: Proficient in Python with a strong focus on DevOps tooling and automation.
• Experience developing scripts and tools for infrastructure orchestration, data processing, and reporting.
• Familiarity with Plotly for creating interactive visualizations.
• Experience interacting with RESTful APIs using Python (e.g., via requests, HTTPS) for automation, integration, and data exchange with external systems.

System & Debugging Skills

• Unix/Linux Debugging: Skilled in troubleshooting and debugging issues at the Unix/Linux system level.
• Experience resolving performance bottlenecks, network issues, system errors, process failures, and service-level diagnostics.
• Proficient with standard debugging tools such as strace, lsof, top, journalctl, and log analysis to resolve complex production issues.
• Command Line Interfaces (CLIs): Comfortable working with various CLIs for cloud platforms such as AWS, Azure, and DevOps tools.

Cloud & Infrastructure

• AWS Expertise:
  • Experience with AWS APIs and services.
  • Skilled in configuring and managing EKS clusters, EC2 instances, S3, IAM, VPC, and networking components.
• ROSA:
  • Hands-on experience deploying, configuring, and managing Red Hat OpenShift Service on AWS (ROSA).
  • Proficient in setting up clusters, managing workloads, configuring identity providers, and integrating with AWS services.
  • Strong understanding of ROSA architecture, operational best practices, and troubleshooting in production environments.
• EKS Experience:
  • Hands-on experience with Client EKS, including provisioning and managing Kubernetes clusters.
  • Experience configuring networking and security (VPC, IAM, RBAC).
  • Experience deploying containerized applications at scale.
  • Skilled in integrating EKS with CI/CD pipelines.
  • Experience with monitoring/logging solutions such as CloudWatch and Prometheus.
  • Experience troubleshooting cluster and workload issues in production environments.

Containerization

• Docker:
  • Experience managing and debugging existing Docker containers in production environments.
  • Skilled in inspecting container behavior, analyzing logs, accessing container file systems, and resolving issues related to performance, networking, and configuration.
  • Familiar with Docker CLI and underlying container mechanisms for effective troubleshooting.

Data Platforms & Analytics

• Dataiku:
  • Experience with Dataiku for building and managing data workflows and analytics is highly desirable.
• Databricks:
  • Strong experience with performance tuning and debugging in Databricks environments.
  • Familiarity with Databricks for big data processing, analytics, and collaborative data science workflows.
• SQL Server:
  • Proficient in performance analysis and deep-level debugging of SQL Server environments.
  • Skilled in identifying and resolving slow queries, blocking issues, deadlocks, and inefficient indexing.

Monitoring and Log Checking Tools

• Grafana:
  • Experience deploying and configuring Grafana agents/exporters for server health, performance, and infrastructure monitoring.
  • Skilled in building and maintaining dashboards.
  • Experience setting up alerting rules.
  • Experience integrating Grafana with data sources such as Prometheus, CloudWatch, and Elasticsearch for real-time visibility into system and application performance.
• Splunk:
  • Hands-on experience deploying and managing Splunk forwarders/agents for log collection, indexing, and analysis.
  • Proficient in writing SPL (Search Processing Language) queries for log correlation, troubleshooting, and building dashboards/alerts for proactive monitoring.
  • Experience using Splunk to identify performance bottlenecks, error patterns, and system anomalies in production environments.