We re transforming the software industry. We re Flexera. With more than 50,000 customers across the world, we re achieving that goal . But we know we can t do any of that without our team . Ready to help us re-imagine the industry during a time of substantial growth and ambitious plansCome and see why we re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com

Role Overview:

We are seeking a dynamic and experienced Engineering Manager to lead our team in building and scaling Data Intelligence Services. This role requires expertise in data engineering, automation, and AI/ML, combined with strong leadership and project management skills. The ideal candidate will thrive in a fast-paced environment, driving the development of cutting-edge solutions while mentoring a talented team of engineers.

Key Responsibilities:

• Team Leadership: Manage and mentor a team of engineers, fostering a culture of innovation, collaboration, and excellence.
• Technical Oversight: Provide guidance on designing and building scalable, reliable data pipelines, automation frameworks, and AI/ML models.
• Strategic Execution: Translate high-level business objectives into technical solutions and ensure the timely delivery of projects.
• Collaboration: Partner with product managers, architects, and stakeholders to align engineering priorities with business goals.
• Innovation: Drive the adoption of new tools, technologies, and best practices to maintain a competitive edge in data intelligence.
• Databricks Expertise: Leverage Databricks for building data pipelines, running machine learning workflows, and optimizing data transformation processes at scale.
• Flexible Work Hours: Be available for evening meetings or collaboration, as the senior leadership team is based in the USA.

Qualifications:

• Experience:
• 7+ years of experience in software engineering, with at least 3+ years in a leadership role.
• Proven expertise in data engineering, automation, and AI/ML development.
• Technical Skills:
• Proficient in modern data platforms (e.g., AWS/Azure data services, Snowflake, Databricks).
• Strong programming skills (e.g., Python, Java, or Scala) and experience with orchestration tools (e.g., Airflow).
• Experience with machine learning tools such as MLflow, H2O.ai, or Google Vertex AI for deploying and managing machine learning models.
• Knowledge of CI/CD pipelines, DevOps practices, and automation frameworks.
• Leadership Skills:
• Experience in hiring, mentoring, and managing diverse engineering teams.
• Ability to lead cross-functional initiatives with a focus on impact and scalability.
• Soft Skills:
• Strong problem-solving, communication, and decision-making abilities.
• Comfortable working in a global, distributed team environment.

Role: Engineering Manager

Industry Type: IT Services & Consulting

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

Education

UG: Any Graduate

PG: Any Postgraduate