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 [HIDDEN TEXT]

Lead Software Engineer