Software Engineer-DevSecOps

Software Engineer (DevSecOps Platform) 
We are looking for a passionate and skilled Software Engineer to join our team and help build, secure, and scale our core platform. In this role, you will be integral to our DevSecOps initiatives, designing and implementing robust, secure, and automated systems. The ideal candidate has a strong software development foundation, a keen interest in cloud infrastructure, and a mindset for integrating security into every stage of the software development lifecycle.

Key Responsibilities
•    Design & Development: Build, maintain, and improve core platform services, CI/CD pipelines, and infrastructure-as-code (IaC) solutions with a security-first approach.
•    Security Integration: Embed security tools and practices (e.g., SAST, DAST, vulnerability scanning) directly into the development pipeline to enable "shift-left" security.
•    Automation: Automate infrastructure provisioning, configuration management, and deployment processes to enhance efficiency and reliability.
•    Cloud Platform Management: Utilize cloud services (e.g., AWS) to deploy, monitor, and manage scalable and secure applications.
•    Collaboration: Work closely with development and data science teams to understand their workflows and create self-service, secure platform capabilities.
•    Monitoring & Observability: Implement and manage monitoring, logging, and alerting systems to ensure platform health and performance.
•    Tooling & Framework Support: Develop and support internal tools and frameworks (e.g., using Python, Flask, Streamlit) to improve developer productivity and platform governance.

Preferred Skills (Nice-to-Have)
•    Experience with infrastructure-as-code tools like Terraform or CloudFormation.
•    Knowledge of container orchestration platforms like Kubernetes.
•    Familiarity with MLOps tools and practices (e.g., MLFlow), especially in managing the lifecycle of machine learning models.
•    Exposure to data engineering and machine learning libraries (Pandas, NumPy, PyTorch) is a significant advantage, given our data-centric platform.
•    Understanding of information retrieval systems or natural language processing.

Qualifications

Qualifications and Experience
•    A bachelor’s degree in data science & AI, Computer Science, or a related field.
•    Strong programming skills in Python, with experience in one or more of the following: C, C++, Java, or JavaScript.
•    Hands-on experience with cloud platforms, preferably AWS.
•    Familiarity with DevOps/DevSecOps concepts and tools (e.g., CI/CD, Docker, Jenkins, GitLab CI).
•    Understanding of secure coding practices and software supply chain security.
•    Experience in building and working with APIs and web frameworks (e.g., Flask).
•    Excellent problem-solving abilities and a collaborative mindset.