Job Description

About Rakuten:

Rakuten India is the Development Centre and key technology hub of the Rakuten Group, Inc. We enable our businesses with our depth of knowledge in multiple streams of technology such as Mobile and Web Development, Web Analytics, Platform Development, Backend Engineering, Data Science, Machine Learning, Artificial Intelligence and much more. Our unique 24/7 support center ensures reliability and sustenance of the Rakuten Ecosystem. With dedicated centres of excellence for Mobile Application Development, Data Analytics, Engineering, DevOps and Information Security, we ensure the success of multiple units of Rakuten Group, Inc. With 1700+ employees and growing, Rakuten India is housed in Crimson House Bangalore in the heart of the city.

Our History:

In 1997, Rakuten first began with Rakuten Ichiba, a B2B2C marketplace, with just six employees, one server, 13 merchants. With the mission of "empowering people and society through innovation and entrepreneurship," the Rakuten group rapidly grew with regional headquarters across the world.

In 2016, Rakuten India opened it doors in Bangalore, India, the tech city known as the Silicon Valley of India! This research and development center became a key technology hub of the Rakuten Group, championing some of the products and platforms that run the businesses. With 1000+ (and growing) Rakutenians working on the very same mission as Rakuten Group, Inc, we believe that technology and business needs must challenge each other for true innovation to rise and make a telling business impact! We have team members who work support Rakuten's global strategy across businesses such as e-Commerce, Digital, Marketing Platforms, Ecosystem Services and so on. "Walk together" is our guiding philosophy and together we continue to grow stronger by taking Rakuten’s businesses to the next level with not just existing products but also create some in the relevancy of Artificial Intelligence and Machine Learning.

Job Summary:

We are looking for a passionate and experienced Engineering Manager to lead our engineering team in the Data Platform Department. You will be responsible for building and managing a high-performing engineering team, ensuring efficient deployment, operation, and scaling of our Conversational AI platform.

Responsibilities:

Technical Leadership:

Provide strong technical leadership to the engineering/DevOps team, ensuring the highest standards of excellence in development, infrastructure management, automation, and deployment processes.

Kubernetes Expertise:

Demonstrate strong expertise in Kubernetes, including the design, deployment, and management of containerized applications.

Infrastructure:

Kubernetes,

Centos, Ubuntu

Hypervisor/Baremetal

Load balancers, Proxies, API-Gateway

Programming Languages :

Python, Golang, Java

Team Leadership:

• Lead, mentor, and inspire a team of engineers, fostering a collaborative and innovative work environment.
• Set clear expectations, provide regular feedback, and support the professional development of team members.
• Infrastructure Management:
• Oversee the design and maintenance of scalable and resilient infrastructure to support Conversational AI systems.
• Ensure high availability, reliability, and performance of the infrastructure.

Automation and Tooling:

• Drive the automation of manual processes, emphasizing the use of tools to enhance efficiency in development and deployment pipelines. Evaluate, select, and implement cutting-edge DevOps tools to improve workflow automation.
• Continuous Integration/Continuous Deployment (CI/CD):
• Implement and manage CI/CD pipelines, working closely with development teams to optimize build and deployment processes. Foster a culture of continuous improvement, identifying opportunities to enhance the CI/CD pipeline.

Collaboration:

• Collaborate effectively with cross-functional teams, including software engineers, QA, and product managers, to integrate DevOps practices throughout the development lifecycle
• Cloud and On-Prem Experience:

• Possess hands-on experience with both GCP and On-Prem environments.
• Ensure seamless integration and collaboration between cloud and on-premises infrastructure.

SRE (Site Reliability Engineering):

Apply SRE principles to enhance system reliability, performance, and availability. Collaborate with the team to implement best practices for monitoring, incident response, and reliability engineering

Establish and maintain robust monitoring systems to proactively identify and address issues. Develop and implement incident response plans, participating in troubleshooting and resolution efforts.

Proactively troubleshoot and resolve production issues, minimizing downtime and ensuring platform stability.

10 - Metrics - Track and Analyze key DevOps metrics, identifying areas for improvement and optimizing performance.

Minimum Qualifications:

•5+ years of hands-on experience with Linux.

•5+ years of programming experience with at least 2 languages from the following (Java,Scala,Python,Bash)

•3+ years working experience in Kubernetes

•4+ years in managing Team / Leading team.

•Hands on experience with DevOps tools and technology such as Jenkins, git and chef.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum 12 years of experience in engineering, with at least 3 years in a leadership role
• Proven experience building and managing high-performing DevOps teams.
• Expertise in Kubernetes is a must.
• Strong understanding of DevOps principles and practices, including CI/CD, infrastructure as code, containerization, and monitoring.
• Experience with cloud platforms ( GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Excellent communication, collaboration, and interpersonal skills.
• Additional experience in SRE and high availability architectures is a plus.
• Ability to motivate and inspire team members to achieve ambitious goals.
• Passion for innovation and continuous improvement.
• Familiarity with Conversational AI technologies is a plus.