Senior enterprise technology engineer

bp

Pune 10 Years Exp Posted 216d ago

Job Description

What you will deliver

  • Design and implement enterprise technology architecture, security frameworks, and platform engineering.
  • Strengthen platform security and ensure compliance with industry standards and regulations.
  • Optimize system performance, availability, and scalability.
  • Advance enterprise modernization and drive seamless integration with enterprise IT.
  • Establish governance, security standards, and risk management strategies.
  • Develop automated security monitoring, vulnerability assessments, and identity management solutions.
  • Drive adoption of CI/CD, DevOps, and Infrastructure-as-Code methodologies.
  • Enhance disaster recovery and resilience planning for enterprise platforms.
  • Partner with technology teams and external vendors to align enterprise solutions with business goals.
  • Lead and mentor engineering teams, fostering a culture of innovation and excellence.
  • Shape strategies for enterprise investments, cybersecurity risk mitigation, and operational efficiency.
  • Collaborate across teams to implement scalable solutions and long-term technology roadmaps.

What you will need to be successful (experience and qualifications)

Technical skills we need from you

  • Bachelor’s degree in technology, Engineering, or a related technical discipline.
  • 10+ years of experience in enterprise technology, security, and operations in large-scale global environments.
  • Experience implementing CI/CD pipelines, DevOps methodologies, and Infrastructure-as-Code (AWS Cloud Development Kit, Azure Bicep, etc.).
  • Deep knowledge of ITIL, Agile, and enterprise IT governance frameworks.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with data pipeline frameworks (e.g., Apache Airflow, Kafka, Spark) and cloud-based data platforms, preferably with AWS & exposure to GCP, Azure.
    • Expertise in database technologies (SQL, NoSQL, Data Lakes), data design and data modeling principles.

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