Lead Engineer-Senior-Python/C++, CI-CD/Devops, Buid,AI/ML application development

Integrate Model Context Protocol (MCP) for contextual data enrichment.

Develop multi-agent architectures for collaborative analysis and decision-making.

Full-Stack Development Build and maintain web dashboards , RESTful APIs , and microservices . Develop scalable front-end applications (React/Angular/Vue) and back-end services (Python/Node.js/Java). Ensure robust CI/CD pipelines for deployment on cloud or on-prem servers.

Build and maintain web dashboards , RESTful APIs , and microservices .

Develop scalable front-end applications (React/Angular/Vue) and back-end services (Python/Node.js/Java).

Ensure robust CI/CD pipelines for deployment on cloud or on-prem servers.

DevOps & Infrastructure Implement containerized deployments (Docker/Kubernetes). Optimize workflows for high availability and performance .

Implement containerized deployments (Docker/Kubernetes).

Optimize workflows for high availability and performance .

Required Qualifications

6–8+ years of experience with a Bachelor’s or master’s in computer science, Engineering, or related field.

Proficiency in multiple programming languages (e.g., Python, Java, C++ ).

Strong expertise in automation tools and CI/CD pipelines (e.g., Jenkins, Azure DevOps, GitHub Actions).

Proven experience in AI/ML application development and deployment .

Solid understanding of cloud platforms and container orchestration (Azure, AWS, Kubernetes).

Excellent problem-solving, communication, and leadership skills.

Preferred Skills

Experience with data engineering and big data technologies.

Knowledge of security best practices in software development.

Familiarity with DevOps culture and tools .

Program Analysis Automate build instantiation and generate artifacts like dependency graphs . Work with static and dynamic analysis tools (e.g., CodeQL, Klocwork, fuzzing frameworks) to identify vulnerabilities. Contribute to security-focused automation pipelines.

Automate build instantiation and generate artifacts like dependency graphs .

Work with static and dynamic analysis tools (e.g., CodeQL, Klocwork, fuzzing frameworks) to identify vulnerabilities.

Contribute to security-focused automation pipelines.

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