Senior DevOps and Infrastructure Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior DevOps and Infrastructure Engineer based in India.

This role offers the opportunity to help build and maintain large-scale cloud infrastructure supporting complex software development and engineering operations worldwide. You will join a global infrastructure team responsible for services that handle hundreds of thousands of automated jobs every day across thousands of servers. The environment combines diverse operating systems, hardware platforms, and cloud technologies, creating challenging opportunities for infrastructure innovation. You will focus on OpenStack operations, service development, monitoring, troubleshooting, and performance improvements. Working alongside experienced SRE, platform, infrastructure, and application engineering teams, you will help solve sophisticated distributed systems challenges. Your contributions will strengthen platform reliability, improve deployment quality, and accelerate the delivery of next-generation technology products.

Accountabilities

• Support the OpenStack Team Operations queue across infrastructure and cloud operations environments.

• Develop, maintain, and support OpenStack services and cloud-based operations, including monitoring, troubleshooting, bug triage, and resolution.

• Investigate key performance indicators (KPIs), identify infrastructure issues, and contribute to effective root-cause analysis.

• Collaborate with SRE, PaaS, image, and infrastructure engineers, architects, technical product managers, and application developers to support code development and product launch strategies.

• Troubleshoot complex issues across multi-site OpenStack regional deployments.

• Work with cross-functional teams, including systems and software engineering, data center operations, and external vendors, to deliver reliable infrastructure platforms from concept through deployment.

• Improve deployment quality, platform stability, and operational efficiency while helping reduce time to market for next-generation products.

Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent practical experience.

• At least 8 years of relevant experience supporting OpenStack environments with Ironic.

• Thorough understanding of the PXE boot process, including host configuration, BIOS, network cards, VLANs, switch port settings, and cabling.

• Strong knowledge of services involved in PXE booting, including DHCP/DNSMASQ, TFTP, HTTP, and iSCSI, with the ability to troubleshoot related issues.

• Familiarity with OpenStack services and their interactions, including Nova, Nova Placement, Neutron, Glance, Cinder, and Ironic.

• Ability to troubleshoot across OpenStack applications and understand deployment processes, service dependencies, and operational sequencing.

• Proficiency in Python programming and familiarity with AI-powered DevOps tools.

• Experience supporting third-party infrastructure services such as MySQL, RabbitMQ, Ceph, HAProxy, and Keepalived.

• Practical experience with configuration and maintenance tools such as Ansible, GitLab, Jenkins, Grafana, Datadog, and Elasticsearch.

Preferred qualifications:

• Experience with OpenStack Ironic, ML2, and bare-metal provisioning.

• Familiarity with large-scale R&D and QA environments, particularly product bring-up activities.

• Experience operating OpenStack in containerized environments.

• Background in Linux, RHEL, Ansible, Bash, and Python.

• Familiarity with Jenkins, Ansible, and REST APIs.

Benefits:

• Work location flexibility: The role is available remotely within India or from Pune.

• Global collaboration: Opportunity to work with international engineering, infrastructure, and operations teams.

• Technical challenges: Exposure to large-scale distributed infrastructure, cloud services, and complex OpenStack environments.

• Professional development: Opportunity to contribute to advanced infrastructure supporting developments in AI, high-performance computing, and visualization.