We are seeking an experienced Software Engineering Manager to lead the design, development, and delivery of scalable, cloud-native software solutions. The ideal candidate combines deep technical expertise with strong people leadership, bringing extensive experience in software architecture, hands-on development, cloud platforms, AI-driven solutions, and engineering team management. This role requires a leader who can drive technical excellence, mentor engineering teams, and collaborate closely with product, architecture, and business stakeholders to deliver innovative solutions.

Key Responsibilities

Technical Leadership

• Lead the design, and development of enterprise-scale software applications and platforms.


• Champion AI and Agentic AI initiatives, including the development and deployment of AI-powered applications, intelligent agents, and automation solutions.


• Drive engineering best practices, including software design principles, code quality, testing, security, and operational excellence.


• Provide hands-on technical guidance and contribute to critical development efforts using Java and/or TypeScript.


• Define and implement scalable cloud-native architectures leveraging AWS services and modern distributed systems patterns.


• Lead technical strategy, architecture reviews, and technology selection decisions.


• Build, lead, mentor, and grow high-performing software engineering teams.


• Establish clear goals, performance expectations, and career development plans for team members.


• Foster a culture of innovation, accountability, collaboration, and continuous improvement.


• Manage resource planning, hiring, onboarding, and retention of engineering talent.


• Conduct regular performance reviews, coaching sessions, and technical mentoring.

Agile Delivery & Execution

• Lead Agile/Scrum processes including sprint planning, backlog grooming, estimation, retrospectives, and release planning.


• Partner with Product Management and stakeholders to prioritize initiatives and align engineering efforts with business objectives.


• Ensure predictable delivery of high-quality software through effective planning, risk management, and execution.


• Monitor project health, remove impediments, and drive continuous process improvements.


• Lead cloud transformation initiatives utilizing AWS services such as EC2, ECS/EKS, Lambda, API Gateway, RDS, DynamoDB, S3, CloudWatch, and related technologies.


• Establish DevOps, CI/CD, Infrastructure-as-Code, and observability best practices.


• Ensure scalability, reliability, security, and cost optimization across cloud environments.

AI & Emerging Technologies

• Drive adoption of AI technologies, including Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and intelligent workflow automation.


• Evaluate emerging technologies and identify opportunities to improve business outcomes through innovation.


• Guide engineering teams in integrating AI capabilities into products and platforms.

Required Qualifications

• 15+ years of software development experience building enterprise applications and distributed systems.


• 5+ years of experience managing software engineering teams.


• Strong expertise in software architecture, system design, and scalable application development.


• Hands-on programming proficiency in Java and/or TypeScript.


• Extensive experience with the AWS Cloud Platform and cloud-native architectures.


• Experience leading Agile/Scrum software development teams.


• Proven track record of delivering large-scale software products from concept through production.


• Experience with modern DevOps practices, CI/CD pipelines, containerization, and microservices architectures.


• Robust understanding of software engineering methodologies, design patterns, and engineering best practices.


• Excellent communication, stakeholder management, and leadership skills.

Preferred Qualifications

• Experience with AI/ML platforms, Generative AI, LLMs, Agentic AI frameworks, and intelligent automation solutions.


• Experience with Kubernetes, Docker, Terraform, and Infrastructure-as-Code.


• Background in enterprise SaaS platforms, cloud modernization, or digital transformation initiatives.


• Experience engineering teams.


• Bachelors or masters degree in computer science, Software Engineering, or a related field.


• Software Architecture & System Design


• AI Agentic Development & Generative AI


• Java and TypeScript Development


• Engineering Leadership & Team Management


• Agile/Scrum Delivery Management


• DevOps & CI/CD


• Strategic Planning & Execution


• Stakeholder Management


• Technical Mentorship & Talent Development