Lead Software Engineer, ML Engineering

iCert Global

. Define and own the technical architecture for AI-enabled .NET and React applications .

Posted 9/23/2026full-timePune • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining technical architecture for AI-enabled applications using .NET and React, while leading engineering teams through the software development lifecycle. Proficient in integrating AI/ML technologies and ensuring compliance with regulatory standards.

Highest-signal resume keywords

C#/.NET Core ExpertiseReact.js ProficiencyAI/ML Integration ExperienceCI/CD Pipeline ManagementLeadership and Mentoring Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C#.NET CoreRESTful APIsReact.jsJavaScriptTypeScriptAI/ML IntegrationSoftware Design PatternsMicroservicesEvent-Driven Architecture

Soft Skills

Problem-SolvingCommunicationLeadership

Tools & Technologies

DockerKubernetesAzureAWSVibe Coding

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Engineering

Industry Keywords

Software Development LifecycleCode QualityTestingSecurityDevOps Best PracticesComplianceGovCon Regulatory Requirements

Tech Stack

Tools & technologies

AWSAzureCloudDockerJavaScriptKubernetesMicroservicesReactTypeScript.NET

About the role

Key responsibilities & impact

Define and own the technical architecture for AI-enabled .NET and React applications
Lead a team of engineers through the full software development lifecycle, from design to production
Collaborate with product, data science, and UX teams to translate AI concepts into usable features
Implement best practices for code quality, testing, CI/CD, and security
Mentor junior developers and promote continuous learning of new frameworks and tools
Evaluate and integrate emerging technologies such as generative AI models and Vibe coding
Drive performance optimization for backend services and front-end interfaces
Ensure compliance with enterprise standards and GovCon regulatory requirements
Participate in code reviews, technical workshops, and architecture forums
Contribute to the product roadmap by providing technical insights and feasibility assessments

Requirements

What you’ll need

7+ years of professional software development experience, with at least 3 years in a lead role
Strong expertise in C#/.NET Core and building RESTful APIs
Proficient in React.js, modern JavaScript/TypeScript, and front-end architecture
Hands-on experience with AI/ML integration, preferably generative AI models
Familiarity with Vibe coding, containerization (Docker/Kubernetes), and cloud platforms (Azure/AWS)
Solid understanding of software design patterns, microservices, and event-driven architectures
Experience with CI/CD pipelines, automated testing, and DevOps best practices
Excellent problem-solving skills and ability to make data-driven technical decisions
Strong communication and leadership abilities, capable of mentoring diverse teams
Bachelor’s or higher degree in Computer Science, Engineering, or related field