• Lead solution architecture and design for key projects, delivering accurate estimates and coordinating with architects across solution, infrastructure, and data disciplines.
• Collaborate with delivery teams, production support, QA, infrastructure, and stakeholders to transform requirements into scalable, secure, and cloud-native solutions.
• Define and enforce technical best practices, standards, and security guidelines while conducting quality assurance, automated code review, and design/code reviews.
• Mentor engineers and guide teams through complex technical challenges, promoting modular design, secure coding practices, and professional growth.
• Drive modernization initiatives including refactoring, containerization, microservices adoption, and database migration, including migration from legacy RDBMS to cloud-native or NoSQL solutions.
• Integrate AI/ML and GenAI components (LLMs, embeddings, vector databases, prompt engineering) into enterprise workflows and design innovative GenAI-enabled applications.
• Continuously assess and recommend tools, frameworks, and platforms to meet evolving project needs efficiently, ensuring alignment with business objectives.

• Bachelor’s/Master’s in Computer Science, Engineering, or related field.
• Strong programming experience in .NET, Python, Java, or Node.js.
• Hands-on experience with AWS or Azure, microservices, micro frontends, API gateways, and messaging systems.
• Knowledge of GenAI apps (LLMs, embeddings, prompt chaining), ML workflows, REST APIs, and event-driven architectures.
• Experience with database modernization, schema optimization, migration tools (Flyway, Liquibase), and cloud-native database platforms.
• Familiarity with containerization (Docker), orchestration (Kubernetes), and secure SDLC practices.
• Certifications like AWS/Azure Solution Architect or TOGAF are desirable.
• Awareness of cloud security, compliance, and cost optimization.
• Ability to integrate security considerations throughout the SDLC, including threat modeling and secure coding practices.
• Experience conducting security assessments (SAST, DAST, vulnerability scanning).

• Experience in brownfield modernization with minimal business disruption.
• Exposure to high availability (HA) and disaster recovery (DR) architectures.
• Understanding of event sourcing and CQRS patterns in distributed systems.
• Prior experience in large-scale modernization projects within logistics, utilities, or environmental services.

• Ability to align architecture with business strategy and goals.
• Leadership skills to mentor teams and influence technology decisions.
• Strong problem-solving, collaboration, and stakeholder engagement capabilities.
• Vision to drive innovation through modernization, cloud, and GenAI adoption.

• Opportunity to architect next-generation enterprise solutions integrating GenAI, cloud-native, and modernization strategies.
• Collaborate with expert teams across engineering, AI/ML, and cloud practices.
• Leadership visibility, continuous learning opportunities, and access to certifications.

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