As a Custom Software Engineer, you will be instrumental in designing and coding custom software solutions. You will enhance components across various systems and applications, utilizing modern frameworks and agile methodologies. The goal is to deliver scalable, high-performing solutions that precisely meet specific business requirements.

This role involves building robust and scalable automation solutions for complex environments, driving large-scale implementations, and realizing value through automation. You will be at the forefront of shaping the future and driving positive change across industries.

Develop advanced automation frameworks and reusable components for diverse applications. Automate processes across the infrastructure and observability stack to improve efficiency. Ensure the reliability, security, and overall efficiency of all developed automation solutions. Collaborate closely with cross-functional teams to deliver impactful and measurable business outcomes.

A minimum of 3 years of experience is required for this position.

Key technical proficiencies include Python programming, understanding Infrastructure as Code basics, CI/CD pipelines, Git, REST APIs, and fundamental Linux and networking concepts.

Familiarity with GenAI and Agentic AI applications is beneficial. Experience with tools like Prometheus, Grafana, ELK, Datadog, or Splunk is a plus. Exposure to multi-cloud or hybrid environments is also advantageous.