Shape the future by developing custom software solutions that enhance system and application components. This role involves designing, coding, and optimizing solutions using modern frameworks and agile practices to deliver scalable, high-performing applications tailored to specific business requirements.

Drive large-scale implementations and automation-led value realization by building robust and scalable automation solutions for complex environments. This is a full-time opportunity requiring 2-5 years of experience.

Develop advanced automation frameworks and create reusable components for various applications. Automate processes across infrastructure and the observability stack, ensuring reliability, security, and efficiency. Collaborate with cross-functional teams to deliver measurable business outcomes through automation.

Focus on building GenAI/Agentic AI applications and leverage advanced Python programming skills. Implement Infrastructure as Code principles, utilizing CI/CD pipelines and Git for version control. Work with REST APIs and possess a strong understanding of Linux and networking fundamentals.

A strong foundation in Python programming is essential for this role. Familiarity with Linux environments is beneficial.

Proficiency in developing GenAI/Agentic AI applications and advanced Python programming is expected. Basic knowledge of Infrastructure as Code, CI/CD, Git, and REST APIs is required. Understanding of Linux and networking fundamentals is also necessary.

Experience with tools like Prometheus, Grafana, ELK, Datadog, or Splunk is a plus. Exposure to multi-cloud or hybrid environments is advantageous. A 15-year full-time education is a prerequisite for this position.