We support 800+ engineers, so every tool, script, and deployment you create can affect hundreds of developers. We are looking for someone who thrives in large-scale engineering environments and can own automation end-to-end with minimal supervision.

You’ll be part of a team that builds and maintains internal applications and data platforms that help sales, engineering, operations, and leadership teams work more effectively.

Your work will have a direct impact on how teams access information, plan resources, and make business decisions. You will:

• Build reliable business applications that ensure important sales and operational data is captured, maintained, and easily accessible.

• Improve workforce and resource planning by developing tools that help teams manage requests, assignments, staffing, and operational activities.

• Work with large-scale data and integrations, connecting information across multiple systems and making it available through useful applications and dashboards.

• Automate and simplify business processes by replacing manual or disconnected workflows with scalable, user-friendly solutions.

• Enable better decision-making by providing leaders and teams with accurate, timely data for forecasting, planning, and reporting.

• Develop intelligent capabilities such as recommendations, data matching, notifications, and AI-assisted workflows that improve productivity and data quality.

Responsibilities:

• Design, build, and maintain enterprise-grade platforms supporting hundreds of engineers.

• Own Infrastructure as Code across AWS, Azure, and GCP via containerization.

• Build scalable Python microservices and internal platforms using Flask.

• Develop and maintain production-quality serf service apps within the platform.

• Design secure REST APIs with authentication, authorization, observability, and monitoring.

• Integrate enterprise applications using Informatica IICS (CDI, CAI) and rapidly adopt additional integration modules.

• Build highly available containerized services using Docker and Kubernetes.

• Troubleshoot production issues across networking, cloud infrastructure, containers, CI/CD pipelines, APIs, and enterprise integrations.

• Apply DevSecOps principles, including secrets management, IAM, vulnerability remediation, and policy automation.

• Partner with architects and engineering leadership to improve platform reliability and developer productivity.

• Drive AI-assisted software development using Cursor, Claude Code, GitHub Copilot, or similar tools while maintaining production-quality standards.

• Mentor engineers and establish engineering best practices.

Qualifications:

• 10+ years of Total experience

• 5+ years of Flask development (Python)

• Certified in at least one of the hyperscalers (AWS, Azure, GCP, Snowflake) and 3+ years of relevant experience

• Preferred experience of 3+ years in DevOps / Cloud Operations / Application Maintenance