Description
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
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