Engineering Manager (AWS, .NET, MongoDB AI)

Role Summary

We are looking for an experienced Engineering Manager to lead software engineering teams in building scalable, secure, and cloud-native applications. The ideal candidate will have a strong technical background in AWS, .NET, and MongoDB, combined with experience leveraging AI tools to improve engineering productivity and software delivery. This role requires robust leadership, stakeholder management, and a passion for developing high-performing teams.

Key Responsibilities

- Lead, mentor, and develop engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Drive the design, development, and delivery of scalable applications using .NET, AWS, and MongoDB.
- Define technical strategy, architecture, and engineering standards aligned with business objectives.
- Oversee end-to-end software delivery, ensuring quality, security, performance, and reliability.
- Champion Agile delivery, DevSecOps, CI/CD, and engineering best practices.
- Promote the effective use of AI-powered development tools (e.g., GitHub Copilot, Amazon Q, ChatGPT) to improve developer productivity and code quality.
- Manage engineering capacity, delivery plans, risks, dependencies, and technical debt.
- Collaborate with Product, Architecture, QA, and Operations teams to deliver business outcomes.
- Drive cloud modernization, application modernization, and automation initiatives.
- Recruit, coach, and retain engineering talent through performance management and career development.

Required Skills Experience

- Bachelors degree in Computer Science, Engineering, or a related field.
- 10+ years of software development experience, including 3+ years in an Engineering Manager or Technical Lead role.
- Strong expertise in C#, .NET/.NET Core, ASP.NET Core, REST APIs, and microservices.




- Hands-on experience with AWS services such as EC2, Lambda, ECS/EKS, API Gateway, RDS, S3, IAM, CloudWatch, and EventBridge.
- Strong experience with MongoDB, including schema design, indexing, aggregation pipelines, performance tuning, and high-availability deployments.
- Experience with relational databases such as SQL Server or PostgreSQL.
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
- Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins.
- Practical experience using AI-assisted engineering tools such as GitHub Copilot, Amazon Q, ChatGPT, or similar solutions.
- Strong understanding of software architecture, design patterns, security, scalability, and cloud-native development.
- Experience working in Agile/Scrum environments.

Preferred Qualifications

- AWS Certified Solutions Architect or AWS Developer certification.
- Experience with Infrastructure as Code (Terraform, AWS CDK, or CloudFormation).
- Exposure to Generative AI, LLMs, AI agents, Retrieval-Augmented Generation (RAG), or AI-enabled application development.
- Experience with observability and monitoring tools such as CloudWatch, Grafana, Prometheus, or Datadog.

Leadership Competencies

- Strong technical leadership with the ability to guide architectural decisions.
- Excellent stakeholder management and communication skills.
- Proven ability to build, mentor, and retain high-performing engineering teams.
- Strategic thinking with a focus on continuous improvement and innovation.
- Strong delivery management, prioritization, and decision-making skills.
- Customer-focused mindset with a commitment to delivering business value.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Software Architect II (Hyderabad)
🏢 UST
📍 Hyderabad