Senior Platform Engineer - DevSecOps

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

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

• 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