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Engineering Lead - System Integration & Cloud Architecture

Engineering Lead - System Integration & Cloud Architecture

Mig StaffingThiruvananthapuram
30+ days ago
Job description

The Engineering Lead leads the architecture and technology for a high-performing development team responsible for AOTs suite of interconnected digital solutions designed for the public and private sectors. This role combines hands-on technical oversight with people management, ensuring that the team is empowered to do their best work building scalable, secure, and user-friendly applications that drive meaningful impact in civic and government services. The Engineering Lead fosters a culture of collaboration, continuous improvement, and accountability, working closely with cross-functional partners to align technical execution with strategic goals.

Job Duties and Responsibilities :

  • Lead and mentor a team of software engineers working across a portfolio of digital solutions for the public sector.
  • Partner with the Software Product Manager to align technical implementation with user needs, regulatory requirements, and organizational goals.
  • Demonstrated ability to dive into complex technical challenges writing code, reviewing pull requests, and shaping software architecture while guiding the team on best practices and high-level design decisions as needed.
  • Provide architectural guidance and ensure the maintainability, scalability, and performance of all products in the portfolio.
  • Manage technical delivery across multiple projects and product lifecycles.
  • Promote secure, accessible, and privacy-compliant development practices across the engineering team.
  • Support career development through coaching, regular feedback, and performance reviews.
  • Champion a high-performance, collaborative culture that embraces open communication, continuous learning, experimentation, and psychological safety empowering each team members growth while maintaining accountability and shared ownership of outcomes.
  • Contribute to long-term technical strategy, including modernization and integration of all product offerings.
  • Drive cross-functional collaboration to ensure successful deployment, support, and evolution of each product.

Required Qualifications :

  • Bachelors degree in Computer Science, Engineering, or a related field, or equivalent work experience.
  • Experience :

  • 15+ years of professional software development experience, including 5+ years managing or leading engineering teams, 5+ years architecture design or in a solution architect role.
  • Experience delivering digital products for enterprise or public sector clients.
  • Knowledge, Skills & Abilities :

  • Strong technical background in web application development, cloud architecture, and system integration, with 10+ years of experience in full-stack development.
  • Experience with process orchestration using traditional BPMN tools (e.g., Camunda).
  • Proficient in one or more backend languages / frameworks such as Python Flask, Java Spring Boot, and frontend frameworks like React, Vue, or Angular.
  • Demonstrated interest in and knowledge of AI, actively staying informed on emerging advancements in gen AI, LLMs, ML integration, etc.
  • Proven leadership skills, with the ability to inspire and support a team in delivering high-impact software.
  • Deep understanding of secure coding practices, accessibility, and compliance frameworks relevant to public sector software.
  • Excellent communication skills and experience working in cross-functional environments.
  • Skilled in agile development methodologies and iterative delivery.
  • Preferred Qualifications :

  • Background in low-code / no-code platforms or process automation tools.
  • Familiarity with government digital standards and procurement environments.
  • Experience managing open-source or hybrid-source software projects.
  • Exposure to DevOps practices, CI / CD pipelines, and cloud infrastructure (e.g., AWS, Azure).
  • Exposure to machine learning & LLMs : familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) and NLP / LLM solutions (OpenAI APIs, Hugging Face models, etc.).
  • (ref : hirist.tech)

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