Software Engineer

Job Summary

As a Software Engineer, your responsibilities will include developing and maintaining cloud-based solutions. You will focus on solving complex problems, developing, testing, automating and collaborating with the Software Engineering team to deploy features in a production environment.

Additionally, you will be responsible for designing and implementing managed Cloud Services based on given requirements. We expect you to have excellent coding skills and take a lead role in designing and implementing managed Cloud Services.

Responsibilities

• Engage in incident management processes including the 24X7 Oncall rotations (as per the sun model) to resolve production issues within agreed SLAs/SLOs.
• Lead to deliver features, including participating in the full software development lifecycle.
• Participate in product design, development, verification, troubleshooting, and delivery of a system or major subsystems, including authoring project specifications.
• Continuously monitor, analyze, and measure system health, availability, and latency using Google native tooling. Develop and implement steps to improve system and application performance, availability, and reliability.
• Mentor junior members, participate in interviews, and contribute to building high-performance teams.
• Work on development, bug fixes/updates, spec updates, customer RCAs and automation.

Job Requirements

• 8+ years of experience is required.
• Proficient with any of the languages C, C++ or Golang.
• Experience with Python, Java/C-sharp is added advantage.
• Scripting and infrastructure automation using, for example, Ansible, Python, Go, Perl, or Ruby.
• Thorough understanding of Linux or other Unix-like Operating Systems.
• Strong in Data Structure and algorithms and Expertise in REST API design and implementation.
• Prior experience with Filesystem development and Distributed system design is desirable.
• Deep working Knowledge of Containers, Kubernetes, and Serverless computing implementation.
• Understanding of SDLC lifecycle, distributed systems and DevOps development methodologies
• Demonstrated ability to have completed multiple, moderately complex technical tasks.
• Strong familiarity with Google Cloud is preferred, or other Hyperscalers, AWS, Azure.

Education

• Bachelor of Science Degree in Computer Science, a master’s degree; or equivalent experience is required.