DevOps Intern supporting CI/CD, cloud infrastructure, and automation for Ludia’s mobile game studio. Improving reliability and developer tools in production game environments.
About the role
- Application Reliability Engineer supporting Innodata’s Google Cloud enterprise applications. Restoring production services, managing deployments, and enhancing microservices for a global AI data engineering company.
Responsibilities
- Provide production support and maintenance for enterprise applications hosted on Google App Engine
- Triage, diagnose, restore service, and drive user-impacting incidents to closure within agreed SLAs/SLOs
- Troubleshoot application errors, latency, performance degradation, service failures, configuration issues, quota/scaling limits, and integration failures
- Design, develop, and deliver feature enhancements to existing applications
- Support microservices architecture, APIs, authentication, inter-service communication, and failure/retry behavior
- Own build, release, and deployment activities across development, test, pre-production, and production environments
- Manage App Engine deployments, traffic splitting, canary/staged rollouts, rollbacks, configuration, and scaling
- Perform root-cause analysis and implement sustainable fixes
- Build and maintain monitoring, alerting, logging, dashboards, and error reporting
- Support platform, framework, library, dependency, and runtime upgrades
- Support IAM, service accounts, access controls, secrets management, and operational governance
- Participate in change management, release-readiness reviews, and on-call/rotational support
- Collaborate with client and cross-functional engineering, product, QA, data, infrastructure, and platform teams
- Create and maintain technical documentation, runbooks, troubleshooting guides, deployment procedures, and support playbooks
Requirements
- 3–7 years of experience in Application Support, Application Engineering, Software Engineering, Cloud Engineering, or a related role
- Strong hands-on experience supporting, maintaining, and enhancing production applications on Google Cloud Platform
- Hands-on experience with Google App Engine deployment, configuration, scaling, versioning, and troubleshooting
- Understanding of microservices architecture, REST/gRPC APIs, service-to-service communication and authentication, distributed tracing, and cross-service debugging
- Experience with multi-environment deployments, release validation, rollback, and change control
- Strong programming skills in one or more of Python, Java, Node.js/JavaScript, or Go
- Working knowledge of SQL and application data stores including Cloud SQL, Firestore/Datastore, Cloud Spanner, or BigQuery
- Understanding of GCP IAM, service accounts, permissions, monitoring, logging, alerting, and production operations
- Experience with CI/CD pipelines and automated build/deployment tooling such as Cloud Build, Jenkins, GitHub Actions, or GitLab CI
- Experience troubleshooting complex production environments and performing root-cause analysis under time pressure
- Ability to understand existing systems, codebases, services, configurations, and client-specific tools and workflows
- Strong communication and collaboration skills, including communication during user-impacting incidents
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