Application Reliability Engineer

Emploi pas sur LinkedIn

🕒 il y a 10 jours

🇨🇦 Canada – Télétravail

💵 $80 000 - $150 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

⛑ Ingénieur DevOps & SRE

👻 Score fantôme 20%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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InnoData

Site WebLinkedInTous les Emplois

2 - 10 employés

Fondée en 2019

🤝 B2B

💼 Conseil

🌍 Impact social

B2B • Consulting • Social Impact

InnoData est INNOvation DATA SCS, une coopérative sociale italienne basée à Foggia, spécialisée dans la fourniture de solutions technologiques. Le site web de l'entreprise (actuellement en maintenance) met en avant les "Soluzioni tecnologiche" (solutions technologiques) et l'impact social ("Impatto sociale"). Les coordonnées incluent Via Francesco Crispi 65, 71121 Foggia, Italie. D'après les informations disponibles, InnoData semble opérer à l'intersection de la technologie et de l'impact social, en proposant probablement des services axés sur la technologie à d'autres organisations.

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 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

🎯 Exigences

• 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