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Job Type

Full Time

Job Description

Role

Level

Experience

Location

Key Responsibilities

  • Oversee the solution architecture and design for key projects, delivering accurate estimates and coordinating with architects and designers across solution, infrastructure, and data disciplines to effectively address business challenges.
  • Collaborate with delivery teams, production support, and shared services partners (Quality Assurance, Infrastructure Engineering, Reference Architecture) to ensure alignment of solution strategies and estimates.
  • Lead the establishment of technical best practices, standards, and guidelines, ensuring alignment with overarching business objectives.
  • Mentor and guide a team of engineers, fostering their professional growth and providing support in navigating technical challenges.
  • Partner closely with product managers, business analysts, and stakeholders to understand project requirements and transform them into viable technical solutions.
  • Actively engage in Scrum team activities, providing architectural direction, and guiding technical teams through complex challenges while ensuring best practice adherence.
  • Continuously assess and recommend tools, platforms, and frameworks to meet evolving project needs with high compatibility and efficiency.
  • Promote modular design principles for independent component development and testing, while applying best security practices such as least privilege and data protection.
  • Conduct quality and security assurance, develop metrics for code quality, and ensure adherence to automated code review processes.
  • Conduct code and design reviews to ensure compliance with architecture standards.
  • Mentor engineering teams on design, architecture, and emerging technologies.
  • Collaborate with AI/ML teams to integrate AI components into enterprise solutions.
  • Design and recommend GenAI-enabled applications using LLMs, vector databases, and prompt engineering.
  • Provide leadership in

    database modernization

    — assisting in the migration from legacy RDBMS platforms to cloud-native databases or NoSQL solutions, ensuring minimal disruption to business operations.
  • Lead incremental modernization strategies for legacy applications, including refactoring, containerization, and microservices adoption.

Required Skills & Experience

  • Bachelor’s/master’s in computer science, Engineering, or related field.
  • Strong programming experience in

    .NET / Python / Java / Node.js

    .
  • In-depth experience designing and implementing software solutions using cloud-native technologies.
  • Hands-on experience in at least one major cloud platform (

    AWS

    or

    Azure

    ).
  • Experience in

    Microservices

    ,

    Micro Frontend

    , API Gateway, and Messaging Implementation.
  • Understanding of GenAI apps (LLMs, embeddings, prompt chaining), ML workflows, or vector databases.
  • Good understanding of REST APIs, event-driven architectures, and integration patterns.
  • AWS/Azure Solution Architect Certification, TOGAF, or similar framework certifications.
  • Experience with

    database modernization

    — migrating from legacy relational systems to managed cloud databases or alternative modern platforms.
  • Familiarity with schema optimization, database versioning, and migration tools (e.g., Flyway, Liquibase).
  • Awareness of cloud security, compliance, and cost optimization.
  • Experience with application modernization strategies, including containerization (Docker), orchestration (Kubernetes), and incremental refactoring approaches.
  • Ability to integrate security considerations throughout the SDLC, including threat modeling and secure coding practices.
  • Experience conducting security assessments (SAST, DAST, vulnerability scanning).

Nice to Have

  • Experience in

    brownfield modernization

    — upgrading legacy platforms without major business disruption.
  • Exposure to high availability (HA) and disaster recovery (DR) architecture for business-critical systems.
  • Understanding of event sourcing and CQRS patterns in distributed systems.
  • Prior experience in large-scale modernization projects within the environmental services, logistics, or utilities sector.

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