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Platform Infrastructure / Multi-Cloud Software Engineer

Bayside SolutionsSeattle, WA🇺🇸United StatesPosted 20 Aug 2026

Quick Overview

Salary
$60 - $70/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Seattle, WA, United States
Posted
Yesterday
MongoDBOracleAWSSplunkAzureCassandraCockroachDBGoogle CloudGrafanaJavaKubernetesPostgreSQLPrometheusPython

Job Description



Platform Infrastructure / Multi-Cloud Software Engineer


W2 Contract


Pay Rate: $60 - $70 per hour


Location: Seattle, WA - Hybrid Role


Job Summary:


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.


Duties and Responsibilities:



  • 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 and Qualifications:



  • 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.


Preferred Qualifications



  • 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.



Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate.


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