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Design, develop, and deploy high scale systems using state of the art technologies. Build reliable, consistent and high throughput data services and interfaces. Collaborate with product managers, data scientists, and other stakeholders to understand requirements and translate them into technical solutions. Optimize and tune applications for performance and scalability. Troubleshoot and resolve issues in production environments. Mentor junior developers and contribute to knowledge sharing within the team.

Work as a DevOps Engineer at Balbix to design and develop Infrastructure as Code components, automate CI/CD processes, secure infrastructure, work with AWS and Azure services, and implement logging and monitoring systems.

Design and develop automation suite(s) to validate Balbix Platform. Collaborate with cross-functional teams to understand customer requirements, develop use case scenarios, and improve application performance. Provide technical inputs during product development cycle. Must have expertise in Python, Rest API, Linux, Git, JIRA. Preferred knowledge in SQL, NoSQL, and strong Network testing background. Requires Bachelor's degree in Computer Science or related field. 2+ years of product automation experience.

As a Senior Full Stack Engineer, you will lead the development and architecture of powerful, AI-driven web applications while collaborating with cross-functional teams to strengthen cybersecurity measures. Key responsibilities include designing APIs, building UI components, and enhancing overall application performance.

The Office/HR Administrator at Balbix will manage office supplies, coordinate events, assist with employee onboarding and offboarding, handle incoming mail, and maintain conference rooms. This role requires excellent communication and organizational skills to support office and HR functions effectively.

The Senior Data Engineer will design and implement data pipelines to manage large data sets for cybersecurity use-cases, collaborate with teams to support data-driven applications, and develop web services and APIs while ensuring production quality solutions.

Design and develop algorithms to model interactions in enterprise cybersecurity, apply AI and graph analysis techniques, build solutions balancing complexity and performance, and collaborate with engineering teams on ML infrastructure and data pipelines.