Product Engineering & Digital Solutions Partner for Innovative Startups and Enterprises
DevOps • Outsourced Product Engineering • Machine Learning • Infrastructure Automation • Software Engineering
201 - 500
March 19
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Product Engineering & Digital Solutions Partner for Innovative Startups and Enterprises
DevOps • Outsourced Product Engineering • Machine Learning • Infrastructure Automation • Software Engineering
201 - 500
• Contribute to CI/CD & infrastructure automation efforts • Lead a team of 2-10 engineers • Provide DevOps lifecycle tools for developers • Automate release management pipeline • Work with AWS, Google Cloud, and Kubernetes • Improve CI/CD & infrastructure reliability, observability, performance & scalability • Contribute to important architectural and operational decisions • Develop products in the cloud-native ecosystem • Architect and develop tools for cloud-native technology adoption • Lead incident response and postmortems • Mentor and train team members • Review team members' work
• 7-12 years’ experience in DevOps or software engineering • Minimum 1 year of experience leading a team • Hands-on scripting and software development fluency • Understanding of build & release processes (CI & CD) • Experience with modern DevOps tooling • Proficiency with Kubernetes concepts • Infrastructure automation experience • Proficiency with SQL and NoSQL databases • Understanding of micro-services architecture • Cloud-based networking experience • Willingness to learn new technologies • Excellent communication skills • Bachelor’s degree in Computer Science or equivalent experience • Bonus: AWS, GCP, or Kubernetes certifications • Bonus: Experience with SRE & security practices • Bonus: Expertise in managing production Kubernetes environments • Bonus: Experience contributing to open source projects or building tools/utilities
• Remote-friendly work culture • Opportunity to work from anywhere • Joining a Great Place to Work® certified company • Full-stack product development experience • Exposure to cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space • Working with Kubernetes and cloud environments at scale • Opportunity to work with a team of elite software engineers • Regular team celebrations • Inclusive, diverse & authentic environment
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