Lead Application Modernization Engineer

## About the Role As a Lead Application Modernization Engineer at Liatrio, you will play a critical role in driving the technical delivery of complex projects. You will be responsible for designing and building cloud-native services, integrating AI capabilities, and leading a team of engineers to ensure successful project outcomes. Your expertise in cloud-native services, AI integration, and full-stack development will be essential in this role.

The role involves working closely with client teams to understand their needs and develop tailored solutions. You will be accountable for the technical quality of the solutions delivered by your team and will be expected to make day-to-day architecture decisions. Your ability to communicate technical concepts clearly and effectively to both technical and non-technical stakeholders will be vital to your success.

Liatrio is committed to fostering a culture of innovation and excellence, and as a Lead Application Modernization Engineer, you will be expected to embody these values. You will have the opportunity to work on challenging projects, collaborate with talented engineers, and contribute to the company's mission to drive digital transformation.

## What You Will Do - Architect technical solutions within your workstream, designing approaches and documenting trade-offs - Design and build cloud-native services from legacy systems, decomposing monoliths into APIs and services - Build full-stack, production-grade applications, including frontend interfaces, backend services, and integrations - Write and review code across multiple languages and paradigms, setting the technical standard for your workstream - Design event-driven and microservices architectures that can scale, evolve, and be operated by teams beyond the ones that built them - Integrate AI and LLM capabilities into client applications, building agentic workflows and intelligent automation - Implement CI/CD pipelines and delivery automation to give teams the confidence to ship frequently - Identify technical risk early and surface it clearly before it becomes a delivery problem - Generate ideas, fail fast, and demonstrate with POCs - Drive knowledge sharing in and out of client engagements - Participate in business development activities to help drive growth

## What We Are Looking For - Engineering experience, with a strong focus on building and shipping full-stack applications - Fluency in multiple programming languages and paradigms - Experience with cloud-native services, including design, development, and deployment - Strong understanding of AI and LLM capabilities, including integration into client applications - Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical stakeholders - Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions - Experience with CI/CD pipelines and delivery automation - Ability to work in a fast-paced environment, with a focus on delivering high-quality solutions

## Nice to Have - Experience with agile development methodologies - Knowledge of containerization using Docker - Familiarity with Kubernetes and other orchestration tools - Experience with machine learning and deep learning frameworks

## Benefits and Perks - Competitive compensation package - Opportunity to work on challenging and complex projects - Collaborative and dynamic work environment - Professional development opportunities, including training and mentorship - Flexible working hours and remote work options - Access to the latest technologies and tools - Recognition and reward for outstanding performance - Comprehensive health and wellness program - Generous paid time off policy

- Tip: Develop a strong portfolio that showcases your technical expertise, particularly in cloud-native services and AI integration.

• Tip: Be prepared to talk about your experience with CI/CD pipelines and delivery automation, and how you have used these tools to improve delivery efficiency.
• Tip: Practice explaining complex technical concepts in simple, non-technical terms, as this will be essential for success in this role.
• Tip: Research the company and the role thoroughly, and be prepared to ask informed questions during the interview process.
• Tip: Be prepared to discuss your experience with agile development methodologies and your ability to work in a fast-paced environment.
• Tip: Consider highlighting any experience you have with machine learning and deep learning frameworks, as these skills are highly valued in this role.
• Tip: Don't be afraid to ask about the company culture and values, as this will give you insight into whether this is a good fit for you.