Application Reliability Engineer – GCP

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InnoData

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• 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 SLAs/SLOs • Troubleshoot application errors, failed requests, 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/contracts, 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, including versions, traffic splitting/migration, canary and staged rollouts, rollbacks, configuration, and scaling • Perform root-cause analysis and implement sustainable fixes • Build and maintain monitoring, alerting, logging, dashboards, and error reporting using Cloud Monitoring, Cloud Logging, Error Reporting, and Cloud Trace • 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 Application Engineering, Product, QA, Data Engineering, Infrastructure, and Platform teams • Adapt to client-specific engineering, security, review, change-management, and operational processes • Create and maintain technical documentation, operational 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 • Solid understanding of microservices architecture, REST/gRPC APIs, service-to-service communication and authentication, distributed tracing, and cross-service debugging • Practical experience with multi-environment deployments and promotions, 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 such as 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 quickly understand existing systems, codebases, services, configurations, and client-specific tools and workflows • Strong communication and collaboration skills, including communication during user-impacting incidents • Preferred: experience with large-scale enterprise applications, Cloud Run, GKE, Cloud Functions, Apigee/API Gateway, Pub/Sub, Cloud Tasks, Cloud Scheduler, Terraform, SRE practices, Docker/Kubernetes, frontend/full-stack applications, BI platforms, or AI/ML/GenAI/LLM applications including Vertex AI