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VP - Engineering en Atlas Systems

Atlas Systems · Bengaluru, Indien · Onsite

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Role Overview

The Vice President - Engineering is a strategic and hands-on leader responsible for driving the end-to-end development and delivery of innovative, AI-driven products, manage IT services delivery to its clients. This role demands a deep technical background, hands-on coding ability, and a proven track record of leveraging AI to build scalable and cutting-edge solutions. The ideal candidate will balance technical leadership with the ability to lead and inspire high-performing teams.


Key Responsibilities

  • Strategic Leadership:
    • Define and execute the product engineering strategy, with a strong emphasis on AI and emerging technologies.
    • Partner with executive leadership and Architecting teams to shape the company’s technical vision and align it with business objectives.
    • Leverage emerging technologies to build a single technology platform for all products, using no code, low code philosophy
    • Strong believer in AI to improve team productivity and ability to think big 
  • Hands-On Product Development:
    • Actively contribute to architectural design and, where necessary, coding efforts to accelerate key projects.
    • Oversee the design, development, and deployment of scalable, secure, and high-quality software products.
  • Hands-On Service Delivery:
    • Engage with clients, understand their vision, deliver to their vision
    • Wow clients with thought leadership and world class delivery
  • Team Leadership:
    • Build, mentor, and lead a high-performing, multidisciplinary engineering team.
    • Foster a culture of technical excellence, innovation, and accountability.
    • Ensure team alignment with the organization's AI-driven product strategy.
  • Technology and Process Excellence:
    • Implement and advocate best practices in software development, architecture.
    • Ensure robust design, testing, and quality assurance methodologies across all product lines.
    • Stay at the forefront of AI advancements and integrate cutting-edge techniques into product engineering processes.
  • Operational Efficiency:
    • Streamline engineering workflows to improve speed to market and maximize productivity without compromising quality.
    • Establish KPIs and metrics to track product engineering success and continuously improve outcomes.
    • Efficiently manage resources, budgets, and timelines to align with strategic goals.


Technical Skills

  • Core Expertise:
    • Experience with cloud platforms (AWS, Azure, Google Cloud) and building scalable cloud-native solutions.
  • DevOps and Automation:
    • Knowledge of CI/CD pipelines and automation tools.
    • Familiarity with containerization and orchestration tools like Kubernetes.
  • Cybersecurity and Compliance:
    • Understanding of secure software development practices.
    • Knowledge of cybersecurity principles and compliance standards (e.g., GDPR, ISO 27001).
  • Architectural Expertise:
    • Ability to design scalable, microservices-based architectures.
    • Hands-on experience with API design and integration.


Qualifications

  • Education:
    • Bachelor’s degree in computer science, Engineering, or a related field; MBA or advanced degree preferred.
  • Experience:
    • 15+ years of experience in product engineering, with a minimum of 5 years in leadership roles.
    • Proven hands-on experience in building and deploying AI/ML-driven solutions.
    • Strong track record of delivering large-scale, cloud-native software products in a fast-paced environment.
  • Leadership Skills:
    • Exceptional technical leadership with the ability to inspire and mentor engineers.
    • Strong communication and collaboration skills to influence stakeholders and executive teams.


Key Competencies

  • Visionary thinking with a focus on AI and future-ready technologies.
  • Proven ability to lead by example, with a strong hands-on approach to technical challenges.
  • Deep understanding of the intersection of business needs and technical solutions.
  • Adaptability to evolving priorities in a fast-paced environment.

 

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