Platform Infrastructure / Multi-Cloud Software Engineer

Bayside Solutions
Seattle, WA, United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$124,800.0 - $145,600.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Amazon Web Services Microsoft Azure Cloud Computing Cloud Engineering Databases Continuous Integration Data as a Services Data Centers Data Migration Distributed Systems Identity and Access Management
+25 more
Python (Programming Language) PostgreSQL MongoDB Cloud Services Prometheus Software Deployment Software Engineering Backup and Restore Datadog Data Logging Google Cloud Cloud Platform System Grafana Multi-Cloud Backend Data Layers Containerization Kubernetes Infrastructure Automation Frameworks Deployment Automation Cassandra Data Management Oracle Cloud Infrastructure Splunk Golang

Job description

We are seeking a hands-on Platform Infrastructure / Multi-Cloud Software Engineer to help build and operate production-grade services in AliCloud as part of a broader public-cloud expansion. This is more than a lift-and-shift migration., * Research AliCloud services and map them to application, infrastructure, networking, storage, identity, and data requirements.

  • Build and configure new production and pre-production environments in AliCloud.
  • Containerize applications and deploy, configure, troubleshoot, and operate workloads on Kubernetes or an equivalent managed offering.
  • Modify application and service code where AliCloud does not provide direct parity with existing infrastructure or managed services.
  • Design pragmatic year-one cloud solutions that get critical services running well, while preserving a path toward greater platform consistency as the environment matures.
  • Automate infrastructure provisioning and application deployment. Manual production deployment should be minimized or eliminated.
  • Evaluate managed database and data-service alternatives for workloads using technologies such as MongoDB, Cassandra, CockroachDB, or PostgreSQL-compatible systems.
  • Support data migration, backup and restore, configuration, and operational integration for managed data services.
  • Troubleshoot across compute, networking, storage, Kubernetes, application, and data layers.
  • Implement and use observability through metrics, dashboards, logs, and alerts using tools such as Prometheus and Splunk or comparable platforms.
  • Prototype competing technical options, document tradeoffs, recommend a direction, and drive implementation with limited day-to-day guidance.
  • Collaborate with our engineering teams while independently owning the research and execution needed to move the migration forward.

Requirements

  • Strong production Kubernetes experience, including application deployment, Pod and resource troubleshooting, service-to-service connectivity, configuration, and operational telemetry.
  • Strong public-cloud experience with AWS, Google Cloud, Azure, Oracle Cloud, or another major public-cloud platform.
  • Ability to ramp quickly on unfamiliar cloud technologies and independently research competing managed-service options.
  • Software engineering experience in Go, Java, Python, or another general-purpose language. Most team needs are expected to favor Go, with some Java-aligned work.
  • Experience with cloud infrastructure across compute, networking, and storage.
  • Experience with managed database or data-service offerings and the application implications of changing underlying data platforms.
  • Experience with CI/CD and automated deployment or infrastructure provisioning.
  • Experience in troubleshooting production distributed systems across application and infrastructure boundaries.
  • Understanding of monitoring, logging, alerting, capacity, reliability, and production-readiness practices.
  • Strong self-starter behavior, technical research skills, written communication, and ability to operate effectively through ambiguity., * Direct AliCloud experience.
  • Cloud-to-cloud migration, data-center-to-cloud migration, or experience standing up a new cloud environment from scratch.
  • Experience modifying applications to accommodate differences between cloud-native managed services.
  • Go development experience for backend and platform services.
  • Java development experience for cloud service work.
  • Experience with Prometheus, Splunk, Grafana, or similar observability tooling.
  • Experience with identity and access management, secrets, or authorization platforms.
  • Experience building deployment automation when an existing internal platform does not directly support the target cloud.
  • Experience in environments where platform engineers are expected to write and maintain production software.

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