Platform Engineer Lead

Capgemini; Seattle (WA); On-site; USD 101,000 - 157,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement benefits

Job summary

Tundra Technical Solutions is seeking an experienced Platform Engineer to design, build, and maintain scalable Azure infrastructure with AKS, focusing on cloud-native services and data platforms in Seattle. You will optimize databases, implement data pipelines with Azure Data Factory, and develop analytics workloads on Databricks.

Responsibilities include IaC with Terraform, Python automation, data security, backups, DR, and CI/CD automation.

Qualifications

• Strong expertise in platform engineering and cloud infrastructure.
• Kubernetes (AKS preferred) experience.
• Professional-level experience in database design, SQL, and performance tuning.
• Proficiency in Python scripting for automation and data processing.
• Hands-on experience with Terraform (IaC) for cloud and data platforms.
• Experience with Azure Data Factory for data ingestion and orchestration.
• Experience with Azure Databricks for data transformation and analytics.
• Understanding of data security, governance, access control, and compliance.
• Experience with Azure cloud-based data and platform services.
• Knowledge of observability, monitoring, and logging practices (Prometheus, Azure Monitor).

Responsibilities

• Design, build, and maintain highly available, scalable platform infrastructure on Azure (AKS).
• Develop and optimize high-performance database solutions for reliability and scale.
• Build and manage data pipelines using Azure Data Factory.
• Develop, support, and optimize data processing and analytics workloads on Azure Databricks.
• Implement and manage Terraform-based IaC for cloud and data platforms.
• Write Python scripts for automation, monitoring, and data processing tasks.
• Ensure data integrity, security, availability, including backups and DR strategies.
• Monitor health of platform, databases, and data pipelines; resolve issues proactively.
• Collaborate with application, analytics, and platform teams to support data needs.
• Implement CI/CD pipelines and automation for infrastructure, data pipelines, and deployments.

Skills

Platform engineering

Cloud infrastructure

Kubernetes

SQL design & tuning

Python scripting

Terraform IaC

Azure Data Factory

Azure Databricks

Data security & governance

Observability & monitoring

Tools

AKS / Kubernetes

Terraform

Azure Data Factory

Azure Databricks

Prometheus

Azure Monitor

Job description

Design, build, and maintain highly available, scalable, and secure platform infrastructure on Azure, with a focus on AKS and cloud-native services

Develop and optimize high-performance database solutions, ensuring reliability and scalability

Build and manage data pipelines and integrations using Azure Data Factory

Develop, support, and optimize data processing and analytics workloads using Azure Databricks

Implement and manage infrastructure using Terraform, following Infrastructure as Code (IaC) best practices

Write and maintain Python scripts for automation, monitoring, data processing, and operational tooling

Ensure data integrity, security, availability, including backup and disaster recovery strategies

Monitor platform, database, and data pipeline health, proactively resolving performance and reliability issues

Collaborate with application, analytics, and platform teams to support data and infrastructure needs

Implement CI/CD pipelines and automation for infrastructure, data pipelines, and platform deployments

Required Skills:

• Strong expertise in platform engineering, cloud infrastructure, and Kubernetes (AKS preferred)
• Professional-level experience in database design, SQL, and performance tuning
• Proficiency in Python scripting for automation, data processing, and operational tasks
• Hands-on experience with Terraform (Infrastructure as Code) for cloud and data platforms
• Experience with Azure Data Factory for data ingestion, orchestration, and pipeline management
• Experience with Azure Databricks for data transformation, processing, and analytics
• Strong understanding of data security, governance, access control, and compliance
• Experience working with Azure cloud-based data and platform services
• Knowledge of observability, monitoring, and logging practices (e.g., Prometheus, Azure Monitor)

Nice to Have:

• Experience with large-scale data platforms and distributed systems
• Exposure to CI/CD, DevOps practices, and automation frameworks
• Knowledge of high availability, failover, and disaster recovery strategies
• Familiarity with event-driven architectures (Kafka/Event Hub)
• Experience with containerized workloads and microservices architecture
• Understanding of SRE principles (SLIs, SLOs, error budgets)

The pay range that the employer in good faith reasonably expects to pay for this position is $73.04/hour - $114.13/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.