Bayside Solutions
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This range is provided by Bayside Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$60.00/hr - $70.00/hr W2 Contract Salary Range:
$124,800 - $145,600 per year Location:
Seattle, WA - Hybrid Role Job Summary
As a part of our Cloud Infrastructure and Data Platform Team, you will design, develop, and operate large-scale Kubernetes and AWS-based platforms that enable developers across our company to innovate faster. The scale of our systems brings challenges that require extraordinarily creative problem-solving. By focusing on automation, reliability, and security, you\'ll be building the technology foundation that supports our services worldwide. Duties and Responsibilities
Design, deploy, and operate multi-tenant Kubernetes platforms on public and private cloud environments. Implement Infrastructure as Code to provision, manage, and scale environments consistently across regions. Drive adoption of GitOps workflows to deliver automated, reliable configuration and deployment management. Build automation and tooling in Python or Java to streamline developer workflows, CI/CD, and operational efficiency. Collaborate with cross-functional engineering teams to integrate infrastructure with data pipelines, services, and applications. Champion reliability and observability through monitoring, alerting, and performance tuning using modern tools. Ensure platform security, compliance, and cost efficiency while supporting mission-critical services. Participate in on-call rotations to support production environments at scale. Requirements and Qualifications
Expertise in Kubernetes and container orchestration in production environments. Deep understanding of cloud infrastructure (AWS preferred), including networking, compute, storage, and identity management. Strong background in Infrastructure as Code (Terraform, Crossplane, or equivalent). Familiarity with GitOps principles and tooling for deployment automation. Experience with observability and monitoring systems (Prometheus, Grafana, Datadog, or similar). Proficiency in Python or Java for platform automation and integration. Knowledge of autoscaling (Karpenter, cluster autoscalers) and ingress patterns for highly available workloads. Understanding of modern CI/CD practices and version control workflows. 7+ years of experience in DevOps, SRE, or Platform Engineering roles. 3+ years operating Kubernetes clusters in production. Proven expertise in AWS and cloud-native architectures. Strong coding ability in Python or Java to automate and integrate infrastructure. Demonstrated success operating highly available, secure, and scalable systems. Excellent troubleshooting skills and the ability to collaborate effectively across teams. Preferred Qualifications
Certifications in Kubernetes or AWS. Experience with data platform ecosystems (Spark, Trino, Flink, etc.) is a plus. Exposure to service meshes, policy frameworks, or secrets management. Contributions to open source projects in cloud-native, Kubernetes, or infrastructure domains. Experience developing Airflow DAGs or extending Airflow with custom operators is a strong plus. Desired Skills and Experience
Kubernetes, container orchestration, cloud infrastructure, AWS, networking, compute, storage, identity management, Infrastructure as Code, Terraform, Crossplane, GitOps, deployment automation, observability, monitoring systems, Prometheus, Grafana, Datadog, Python, Java, platform automation, integration, autoscaling, Karpenter, cluster autoscalers, ingress patterns, highly available workloads, CI/CD, version control workflows, DevOps, SRE, Platform Engineering, cloud-native architectures, troubleshooting, multi-tenant platforms, public cloud, private cloud, automated configuration management, data pipelines, reliability engineering, performance tuning, security compliance, cost efficiency, mission-critical services, production operations, on-call support, service meshes, policy frameworks, secrets management, open source contributions, Spark, Trino, Flink, data platform ecosystems, Airflow DAGs, custom operators, large-scale systems Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at www.baysidesolutions.com. Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
IT System Operations and Maintenance Referrals increase your chances of interviewing at Bayside Solutions by 2x Seattle, WA $7,469.00-$9,000.00 2 days ago Seattle, WA $118,900.00-$205,600.00 1 day ago Seattle, WA $122,100.00-$134,400.00 1 week ago Seattle, WA $140,000.00-$180,000.00 2 weeks ago Seattle, WA $119,000.00-$147,500.00 1 week ago Seattle, WA $70,000.00-$150,000.00 1 month ago Seattle, WA $91,200.00-$185,000.00 2 weeks ago Seattle, WA $177,688.00-$341,734.00 2 days ago Seattle, WA $100,000.00-$720,000.00 2 days ago Seattle, WA $145,000.00-$204,000.00 2 weeks ago Seattle, WA $173,000.00-$242,000.00 2 weeks ago Seattle, WA $150,000.00-$165,000.00 4 weeks ago Seattle, WA $118,900.00-$205,600.00 6 days ago Seattle, WA $118,900.00-$205,600.00 2 weeks ago Greater Seattle Area $60,000.00-$80,000.00 17 hours ago Sr. Data Engineer - Fintech Leader (Series D) Seattle, WA $170,000.00-$220,000.00 4 months ago Seattle, WA $158,339.00-$178,800.00 2 weeks ago Seattle, WA $118,900.00-$205,600.00 6 days ago Seattle, WA $140,000.00-$180,000.00 28 minutes ago Seattle, WA $136,800.00-$145,920.00 1 day ago Software Engineer, Detection Engineering Seattle, WA $117,000.00-$147,000.00 2 weeks ago Seattle, WA $110,000.00-$150,000.00 1 week ago Data Engineer - Snowflake and Databricks Seattle, WA $140,000.00-$150,000.00 1 day ago Seattle, WA $129,960.00-$246,240.00 2 weeks ago Seattle, WA $143,200.00-$179,000.00 3 days ago Sr. Data Engineer - High-Growth Tech Startup
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$60.00/hr - $70.00/hr W2 Contract Salary Range:
$124,800 - $145,600 per year Location:
Seattle, WA - Hybrid Role Job Summary
As a part of our Cloud Infrastructure and Data Platform Team, you will design, develop, and operate large-scale Kubernetes and AWS-based platforms that enable developers across our company to innovate faster. The scale of our systems brings challenges that require extraordinarily creative problem-solving. By focusing on automation, reliability, and security, you\'ll be building the technology foundation that supports our services worldwide. Duties and Responsibilities
Design, deploy, and operate multi-tenant Kubernetes platforms on public and private cloud environments. Implement Infrastructure as Code to provision, manage, and scale environments consistently across regions. Drive adoption of GitOps workflows to deliver automated, reliable configuration and deployment management. Build automation and tooling in Python or Java to streamline developer workflows, CI/CD, and operational efficiency. Collaborate with cross-functional engineering teams to integrate infrastructure with data pipelines, services, and applications. Champion reliability and observability through monitoring, alerting, and performance tuning using modern tools. Ensure platform security, compliance, and cost efficiency while supporting mission-critical services. Participate in on-call rotations to support production environments at scale. Requirements and Qualifications
Expertise in Kubernetes and container orchestration in production environments. Deep understanding of cloud infrastructure (AWS preferred), including networking, compute, storage, and identity management. Strong background in Infrastructure as Code (Terraform, Crossplane, or equivalent). Familiarity with GitOps principles and tooling for deployment automation. Experience with observability and monitoring systems (Prometheus, Grafana, Datadog, or similar). Proficiency in Python or Java for platform automation and integration. Knowledge of autoscaling (Karpenter, cluster autoscalers) and ingress patterns for highly available workloads. Understanding of modern CI/CD practices and version control workflows. 7+ years of experience in DevOps, SRE, or Platform Engineering roles. 3+ years operating Kubernetes clusters in production. Proven expertise in AWS and cloud-native architectures. Strong coding ability in Python or Java to automate and integrate infrastructure. Demonstrated success operating highly available, secure, and scalable systems. Excellent troubleshooting skills and the ability to collaborate effectively across teams. Preferred Qualifications
Certifications in Kubernetes or AWS. Experience with data platform ecosystems (Spark, Trino, Flink, etc.) is a plus. Exposure to service meshes, policy frameworks, or secrets management. Contributions to open source projects in cloud-native, Kubernetes, or infrastructure domains. Experience developing Airflow DAGs or extending Airflow with custom operators is a strong plus. Desired Skills and Experience
Kubernetes, container orchestration, cloud infrastructure, AWS, networking, compute, storage, identity management, Infrastructure as Code, Terraform, Crossplane, GitOps, deployment automation, observability, monitoring systems, Prometheus, Grafana, Datadog, Python, Java, platform automation, integration, autoscaling, Karpenter, cluster autoscalers, ingress patterns, highly available workloads, CI/CD, version control workflows, DevOps, SRE, Platform Engineering, cloud-native architectures, troubleshooting, multi-tenant platforms, public cloud, private cloud, automated configuration management, data pipelines, reliability engineering, performance tuning, security compliance, cost efficiency, mission-critical services, production operations, on-call support, service meshes, policy frameworks, secrets management, open source contributions, Spark, Trino, Flink, data platform ecosystems, Airflow DAGs, custom operators, large-scale systems Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at www.baysidesolutions.com. Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
IT System Operations and Maintenance Referrals increase your chances of interviewing at Bayside Solutions by 2x Seattle, WA $7,469.00-$9,000.00 2 days ago Seattle, WA $118,900.00-$205,600.00 1 day ago Seattle, WA $122,100.00-$134,400.00 1 week ago Seattle, WA $140,000.00-$180,000.00 2 weeks ago Seattle, WA $119,000.00-$147,500.00 1 week ago Seattle, WA $70,000.00-$150,000.00 1 month ago Seattle, WA $91,200.00-$185,000.00 2 weeks ago Seattle, WA $177,688.00-$341,734.00 2 days ago Seattle, WA $100,000.00-$720,000.00 2 days ago Seattle, WA $145,000.00-$204,000.00 2 weeks ago Seattle, WA $173,000.00-$242,000.00 2 weeks ago Seattle, WA $150,000.00-$165,000.00 4 weeks ago Seattle, WA $118,900.00-$205,600.00 6 days ago Seattle, WA $118,900.00-$205,600.00 2 weeks ago Greater Seattle Area $60,000.00-$80,000.00 17 hours ago Sr. Data Engineer - Fintech Leader (Series D) Seattle, WA $170,000.00-$220,000.00 4 months ago Seattle, WA $158,339.00-$178,800.00 2 weeks ago Seattle, WA $118,900.00-$205,600.00 6 days ago Seattle, WA $140,000.00-$180,000.00 28 minutes ago Seattle, WA $136,800.00-$145,920.00 1 day ago Software Engineer, Detection Engineering Seattle, WA $117,000.00-$147,000.00 2 weeks ago Seattle, WA $110,000.00-$150,000.00 1 week ago Data Engineer - Snowflake and Databricks Seattle, WA $140,000.00-$150,000.00 1 day ago Seattle, WA $129,960.00-$246,240.00 2 weeks ago Seattle, WA $143,200.00-$179,000.00 3 days ago Sr. Data Engineer - High-Growth Tech Startup
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr