Lead Software Engineer

Experience

Minimum 8 years of experience in designing, developing, and implementing enterprise

software applications, modules, interfaces, and components.

Proven experience leading technical teams and delivering complex software projects in an

Agile environment.

Mandatory Technical Skills

Strong hands-on experience in .NET Core, ASP.NET MVC, and Entity Framework.

Experience with Angular /React or later versions

Strong expertise in AI-assisted software engineering, including the effective use of

Generative AI tools for solution design, code generation, code optimization, code reviews,

debugging, documentation, and developer productivity.

Strong proficiency in Microsoft SQL Server, including database design, performance tuning,

and optimization.

Experience in writing and maintaining unit tests using NUnit.

Strong experience in designing and developing Microservices-based architectures.

Hands-on experience with Angular design patterns and frameworks, including NgRx, RxJS,

and Angular Material.

Strong understanding and implementation experience of the CQRS (Command Query

Responsibility Segregation) design pattern.

Experience with Apache Kafka for event-driven and asynchronous messaging. - Any queue

services

Experience using the ELK Stack (Elasticsearch, Logstash, and Kibana) for centralized

logging, monitoring, and troubleshooting.

Technical Leadership

Collaborate closely with Solution Architects to define scalable, secure, and maintainable

solution architectures.

Lead technical design discussions, architecture reviews, and code reviews to ensure

adherence to engineering best practices.

Provide technical guidance and mentorship to development teams, promoting coding

standards, quality, and continuous improvement.

Drive the adoption of modern engineering practices, automation, and AI-assisted development

across the team.

Ensure technical solutions align with business objectives, performance requirements, and

scalability goals.

Project & Delivery Management

Strong understanding of software architecture, design principles, and the complete Software

Development Life Cycle (SDLC), from requirements through deployment and production

support.

Identify technical risks and implementation challenges early, and proactively drive mitigation

strategies with the team.

Support solution estimation, sprint planning, task prioritization, and resource allocation to

ensure successful project delivery.

Work closely with cross-functional teams to ensure timely and high-quality product releases.

Possess a good understanding of change management, release planning, and risk mitigation.

Stakeholder & Client Management

Proven experience managing client interactions and leading technical discussions with

customers and stakeholders.

Collaborate effectively with architects, product owners, business analysts, QA teams, and other

stakeholders to finalize solution designs and interface specifications.

Demonstrate strong stakeholder management skills, effectively managing expectations and

ensuring transparency throughout project execution.

Excellent written and verbal communication skills with the ability to present technical concepts

to both technical and non-technical audiences.

Preferred Skills

Experience with CI/CD pipelines and Azure DevOps.

Knowledge of containerization technologies such as Docker and Kubernetes.

Experience with cloud platforms, preferably Microsoft Azure.

Familiarity with secure coding practices and performance optimization techniques.

Agile & Delivery Experience

Extensive experience working in Agile/Scrum development environments, actively

participating in sprint planning, backlog refinement, daily stand-ups, sprint reviews, and

retrospectives.

Experience leading Agile development teams and collaborating with Product Owners, Scrum

Masters, Architects, and Business Analysts to ensure successful sprint execution and timely

delivery.

Strong understanding of Agile engineering practices, including continuous integration,

continuous delivery (CI/CD), iterative development, and DevOps collaboration.

Ability to estimate user stories, plan sprint capacity, prioritize technical tasks, and drive

predictable delivery while maintaining high quality.

Experience in mentoring team members on Agile best practices and fostering a culture of

continuous improvement and engineering excellence.

Must Have

Prompt Engineering – Ability to design effective prompts that optimize response quality, reduce

token consumption, and accelerate development through efficient interactions with AI models.

Hands-on experience leveraging AI-assisted development tools – Proven experience using AI

tools to accelerate end-to-end solution delivery, including requirements analysis, solution

design, coding, testing, debugging, documentation, and deployment.

Good to Have

Knowledge of Agentic AI frameworks – Understanding of autonomous AI agents, multi-agent

systems, orchestration patterns, tool integration, and workflow automation concepts.

Knowledge of Retrieval-Augmented Generation (RAG) patterns and AI-native development

practices – Understanding of AI application architectures, RAG concepts, vector databases, and

knowledge retrieval mechanisms to support the design and development of enterprise AI

solutions.

Machine Learning (ML) knowledge and implementation experience – Familiarity with ML

concepts, model development, training, deployment, and integration into business applications.

If you are interested please share your updated CV to [Confidential Information]