Lead Software Engineer

Experience

 At least 8 years of experience in the design, development, and implementation of enterprise

software applications, modules, interfaces, and components.

 Demonstrated ability to lead technical teams and successfully deliver complex software projects in an

Agile environment.

Mandatory Technical Skills

 Extensive hands-on experience with .NET Core, ASP.NET MVC, and Entity Framework.

 Proficiency in Angular / React or later versions.

 Strong knowledge in AI-assisted software engineering, particularly the effective application of

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

debugging, documentation, and enhancing developer productivity.

 Solid expertise in Microsoft SQL Server, focusing on database design, performance tuning,

and optimization.

 Skilled in writing and maintaining unit tests using NUnit.

 Significant experience in designing and developing Microservices-based architectures.

 Practical experience with Angular design patterns and frameworks, including NgRx, RxJS,

and Angular Material.

 Comprehensive understanding and hands-on implementation of the CQRS (Command Query

Responsibility Segregation) design pattern.

 Familiarity with Apache Kafka for event-driven and asynchronous messaging, as well as various queue

services.

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

logging, monitoring, and troubleshooting.

Technical Leadership

 Work closely with Solution Architects to establish scalable, secure, and maintainable

solution architectures.

 Facilitate technical design discussions, architecture reviews, and code reviews to ensure

compliance with engineering best practices.

 Offer technical guidance and mentorship to development teams, fostering coding

standards, quality, and continuous improvement.

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

within the team.

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

scalability targets.

Project & Delivery Management

 Strong grasp of software architecture, design principles, and the complete Software

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

support.

 Proactively identify technical risks and implementation challenges, driving mitigation

strategies with the team.

 Assist in solution estimation, sprint planning, task prioritization, and resource allocation to

ensure successful project delivery.

 Collaborate closely with cross-functional teams to guarantee timely and high-quality product releases.

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

Stakeholder & Client Management

 Proven track record of managing client interactions and leading technical discussions with

customers and stakeholders.

 Effectively collaborate with architects, product owners, business analysts, QA teams, and other

stakeholders to finalize solution designs and interface specifications.

 Exhibit strong stakeholder management abilities, effectively managing expectations and

ensuring transparency throughout project execution.

 Excellent written and verbal communication skills, capable of presenting technical concepts

to both technical and non-technical audiences.

Preferred Skills

 Familiarity with CI/CD pipelines and Azure DevOps.

 Knowledge of containerization technologies such as Docker and Kubernetes.

 Experience with cloud platforms, preferably Microsoft Azure.

 Understanding of secure coding practices and performance optimization techniques.

Agile & Delivery Experience

 Extensive experience working within 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 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 enhance response quality, reduce

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

 Hands-on experience with AI-assisted development tools – Demonstrated expertise in utilizing 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.

 Familiarity with Retrieval-Augmented Generation (RAG) patterns and AI-native development

practices – Insight into 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 – Understanding of ML

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

If you are interested please share your updated CV to [HIDDEN TEXT]