Senior Engineering Manager
3 weeks ago
We are looking for a highly skilled Senior Engineering Manager to design and lead scalable, innovative technology solutions that drive business transformation.
The ideal candidate will possess a deep understanding of scalable Cloud Architectures and API's, the latest DevOps methodologies, and a strong commitment to staying current with AI/ML advancements.
A key focus will be on ensuring data interoperability across various systems and platforms.
Key Responsibilities :
- Architect and design complex, scalable workflows and solutions that align with business needs and technology goals.
- Develop cloud-native architectures, ensuring scalability, performance, and security for enterprise applications.
- Lead initiatives to improve data interoperability, ensuring seamless integration of systems and enabling efficient data exchange across diverse platforms.
- Lead the design and implementation of robust APIs, ensuring that they enable effective system integration, scalability, and data flow.
- Advocate for and implement DevOps best practices, including CI/CD pipelines, infrastructure automation, and operational excellence.
- Stay up to date with emerging technologies, particularly in AI/ML, and integrate them into enterprise solutions to drive innovation.
- Collaborate with key stakeholders, including the CTO, product, and engineering teams, to deliver architectural solutions that meet both technical and business requirements.
- Conduct architectural reviews and ensure alignment with enterprise technology standards.
- Mentor and guide engineering teams in implementing best practices and continuous improvements.
- Work cross-functionally to integrate new solutions into the existing infrastructure, with a focus on data integrity and system compatibility.
- Ensure compliance with relevant regulations and industry standards, particularly for the Utilities and Telecom industries.
Good to have :
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 14+ years of experience in software architecture, with expertise in cloud-native architectures and data integration strategies.
- Strong experience in at least one major cloud platform (e., AWS, Azure, Google Cloud) and multi-cloud strategies.
- Proficient in DevOps tools and practices (e.g, Docker, Kubernetes, Jenkins, Terraform) with a focus on automation and infrastructure-as-code.
- Experience with AI/ML frameworks and the ability to integrate machine learning solutions into enterprise architectures.
- Proven experience with data interoperability frameworks and tools, ensuring the seamless flow of data between different systems.
- Experience in Utilities or Telecom is a strong plus.
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