Senior Platform Engineer - DevSecOps

Summary of Business Unit/Function:

The One Policy Engine is a unified policy platform for multi-cloud environments that keeps Infrastructure‑as‑Code (IaC) compliant from code to cloud. We apply policy enforcement early and consistently across the SDLC so security and compliance are built in from the start.

By integrating with platforms like Wiz CNAPP, we extend coverage beyond IaC to continuously assess cloud security posture. This integration helps identify misconfigurations, understand real runtime risk, and prioritize remediation—preventing issues before they reach production.

About the Role:

We are seeking a Senior Senior Platform Engineer with deep expertise in Python, cloud-native application development, and hands-on experience with Azure, AWS and DevSecOps. The ideal candidate is a versatile engineer who can design scalable APIs, build secure backend systems, develop modern frontend interfaces, and deploy resilient cloud-enabled solutions across hybrid environments.

You will play a key role in integrating AI-powered tools into development workflows, driving automation, and improving developer productivity. A strong background with the Wiz Platform is critical, as this role involves deeply integrating Wiz’s CNAPP capabilities into data‑intensive systems to deliver scalable, reliable, and high‑performance cloud security solutions. You will work closely with engineering and security teams to leverage Wiz insights, automate policy enforcement, and ensure secure-by-design cloud deployments.

This role also requires strong DevSecOps skills, including experience with CI/CD pipelines, infrastructure as code (IaC) using Terraform, and containerization technologies like Docker and Kubernetes. You’ll help streamline deployment processes, improve system observability, and ensure high availability across cloud platforms.

Responsibilities:

Design and develop secure, scalable RESTful and GraphQL APIs using Python frameworks like FastAPI, Flask, or Django

Implement design patterns for reusable, maintainable backend systems

Design and optimize algorithms for processing, analytics, and data transformation

Build responsive frontend applications using React.js, TypeScript, or modern frameworks

Implement and maintain CI/CD pipelines and infrastructure as code using Azure or AWS

Integrate AI/ML models into production systems, including model serving, monitoring, and retraining workflows

Ensure application security with OAuth2, JWT, rate-limiting, and threat modeling

Integrate AI-assisted development and code generation tools such as GitHub Copilot, OpenAI APIs, or custom LLMs

Collaborate closely with product managers, designers, and DevOps to build production-grade software

Write unit, integration, and performance tests to ensure code quality

Mentor junior developers and conduct code/design reviews

Experience Requirements:

7+ years of professional software development experience, with a strong focus on backend systems and cloud-native applications.

4+ years of hands-on experience in Python, including building scalable APIs, with deep understanding of language features and design patterns, automation scripts, and data processing pipelines.

2+ years of experience in Go (Golang), with exposure to microservices, concurrency patterns, and performance optimization.

Proven experience in backend frameworks such as FastAPI, Flask, or Django

Strong grasp of REST, WebSockets, API versioning, and documentation best practices

Experience with frontend technologies like React, Next.js, or Vue.js

Familiarity with SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis

Experience working in cloud-native environments, preferably Microsoft Azure, including services like Azure Kubernetes Service (AKS), Azure Functions, and Azure Policy.

Understanding of application security concepts: CORS, CSRF, authentication flows, rate-limiting

Experience with using or integrating AI coding tools and APIs

Good understanding of software architecture, microservices, and event-driven systems

Qualifications Requirements:

Bachelor’s or Master’s degree in computer science, Software Engineering, or a related field.

Strong understanding of software design principles, data structures, and algorithms.

Proficiency in version control systems (e.g., Git) and agile development methodologies.

Excellent problem-solving skills and ability to work independently or in a team.

Self-driven, proactive, and able to work independently

Strong communication and collaboration in cross-functional teams