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 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. 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. 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. Preferred Skills Experience with GraphQL and API gateway technologies. Familiarity with observability tools (Datadog, Prometheus, ELK stack). Knowledge of async programming, task queues (Celery, RQ), and distributed systems. Experience building internal developer tools, portals, or CI/CD platforms. Exposure to DevSecOps practices and secure software supply chain tooling. Passion for clean, readable, and well‑documented code. Certifications such as Azure Developer Associate or Go Programming Language Certification. Compensation & Benefits Anticipated base salary: $113,900 – $189,900 (variable by geographic location). Eligible for Annual Incentive Plan (AIP) with target rates commensurate with role level. Benefits include Annual Wellness Allowance, Paid time‑off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match, basic life insurance, disability benefits, emergency backup dependent care, adoption assistance, commuter assistance, and more. Equal‑Opportunity Employer LSEG is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy, disability, or any other protected class under applicable law. We will accommodate applicants’ and employees’ religious practices and beliefs, mental health, and physical disability needs. #J-18808-Ljbffr London Stock Exchange Group