LeadSenior Lead Software Engineer Agentic AI Engineering (Enterprise Asset Management)

We are looking for a talented Lead/Senior Software Engineer to join our Enterprise Asset Management team and play a leading role in designing developing and implementing cloud-based enterprise solutions. The ideal candidate will demonstrate a strong leadership mindset solid operational experience and excellent problem-solving and communication this role you will evaluate implement and extend enterprise solutions while driving continuous improvements in software engineering practices across the team. You will be responsible for delivering scalable reliable and high-quality Enterprise Asset Management solutions by leveraging the right technologies tools processes and engineering practices. As a technical leader you will champion industry best practices to enhance engineering efficiency solution quality maintainability and operational excellence. We are particularly looking for candidates who embrace modern AI-driven engineering practices including agentic AI approaches and effectively apply them throughout the entire software development lifecycle from solution design and development through testing deployment and customer acceptance to enable smarter engineering accelerate delivery and drive continuous innovation.

Business mindset

Demonstrates the ability to align engineering decisions with business goals focusing on initiatives that deliver measurable value. Understands the commercial impact of technical choices balances investment against business outcomes and helps teams make decisions that support organizational success.

Builds for customers

Demonstrate a customer-focused mindset by making technical decisions based on customer needs and feedback. Works directly with customers to solve adoption performance and design challenges and uses those insights to guide technical direction while promoting a culture that prioritizes customer outcomes.

Drives progress with accountability

Takes ownership of delivering results by removing blockers making clear priorities and maintaining high-quality standards. Delivers on commitments or raises risks early when plans need to change. Make proactive decisions on technical debt investments and quality while setting clear expectations and standards for others to follow.

Thinks AI-native

Uses AI tools effectively to improve engineering productivity and quality understanding when AI adds value and when traditional approaches are more appropriate. Promotes the adoption of AI as a core engineering capability and helps the team build stronger AI-assisted development practices.

Technical Skills

Required

• Strong hands-on experience with Go and modern backend development ideally with TypeScript/.
• Experience designing and building microservices event-driven systems and RESTful APIs using technologies such as Kafka Redpanda and Kubernetes.
• Solid understanding of Domain-Driven Design (DDD) bounded contexts service decomposition and distributed system design.
• Experience with PostgreSQL MongoDB and cloud platforms such as AWS and Azure.
• Strong knowledge of CI/CD automated testing (unit integration and end-to-end) observability and production operations.
• Understanding secure software development authentication/authorization and DevSecOps practices.
• Experience using AI-assisted development tools such as GitHub Copilot Cursor Claude Code or similar.
• Familiarity with AI-assisted Spec-Driven Development (SDD).
• Strong analytical and problem-solving skills with the ability to lead technical initiatives and mentor engineers.

Beneficial

• Experience with React and modern frontend development.
• Experience building Enterprise SaaS or ERP products.
• Knowledge of LLMs AI agents RAG context engineering and AI evaluation in production environments.
• Experience designing and delivering enterprise-grade AI-powered applications.

Qualifications :

• A degree in Computer Science Software Engineering or Information Technology along with minimum 6 years experience in a similar role.
• Excellent communication and multi-tasking skills along with an innovative mindset.

Additional Information :

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

Remote Work :

No

Employment Type :

Full-time