DevOps Engineer, G&A Solutions Engineering (GSE)

As a virtue of being part of this team you would be exposed to a variety of challenges supporting and building highly available systems, working closely with U.S. and India based teams and have the opportunity to expand the capabilities the team has to offer to the wider organization. Primarily responsible for building and managing tools that enable software releases in a fast paced enterprise environment Designing and implementing new solutions to streamline manual operations, expanding the capacity and performance of current operational systems Stay up-to-date with emerging AI/ML and DevOps technologies, applying them to improve speed to delivery, mean time to detect/resolve, security and scalability Operate with on-prem, private, and public cloud platforms Partnering closely with global software development teams and infrastructure teams 3+ years of experience in DevOps, systems engineering, build/release/deployment automation, etc. Ability to program in a high-level programming languages or scripting, such Java, Python, Shell, or Golang, etc. Experience with software tooling to deliver infrastructure and building CI/CD pipeline with tools such as Terraform, Pulumi, Ansible, or Spinnaker toolset Experience implementing applications in private/public cloud infrastructure (AWS or GCP) and container technologies, like Kubernetes and Docker Experience with integrating GenAI or MCP driven tools into DevOps workflows (intelligent code assistance, anomaly detection, automated tests/builds) or components that tackle internal use-cases Bachelor's degree in Computer Science or equivalent work related experience Self-driven and motivated with proven ability to learn new technologies and share DevOps best practices Working experience with LLMs that tackle real-time problems when debugging or auto-remediating production incidents without manual interventions is a plus Experience with AWS services including VPC, IAM, EC2, EKS, CloudWatch, S3, RDS, Route53. Experience in similar services for GCP is preferred Experience with logging infrastructure and using tools like OpenTelemetry, Splunk, Logstash, or Kibana and networking load balancers such as Ngnix, HAProxy Experience with Kafka, VectorDB, RDMBS and NoSQL (MongoDB, Cassandra and Oracle)

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