Platform Engineer

Capgemini; Mount Laurel Township (NJ); On-site; USD 137,253,000 - 214,476,000; Full time

Job summary

Capgemini is seeking a Platform Engineer to design, build, and manage scalable Azure-based infrastructure with AKS and cloud-native services. You will develop data pipelines using Azure Data Factory and Databricks, implement Terraform-based IaC, and write Python automation scripts.

The role emphasizes data security, observability, and reliable operations across platform, data, and CI/CD pipelines. On-site in Mount Laurel, NJ, for a 4-month contract, with a competitive pay range.

Qualifications

• 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.

Responsibilities

• Design, build, and maintain platform infrastructure on Azure, focusing on AKS and cloud-native services.
• Develop and optimize high-performance database solutions for reliability and scalability.
• Build and manage data pipelines using Azure Data Factory and Databricks workloads.
• Implement and manage IaC using Terraform following best practices.
• Write Python scripts for automation, monitoring, and data processing.
• Ensure data security, availability, and disaster recovery strategies.
• Monitor health of platform, databases, and pipelines; resolve performance issues.

Skills

Platform engineering

Cloud infrastructure

Kubernetes (AKS)

SQL

Python scripting

Terraform

Azure Data Factory

Azure Databricks

Data security

Observability

Tools

Prometheus

Azure Monitor

Event Hub

Kafka

Job description

Mount Laurel Township, NJ, United States (On-site)

Contract (4 months)

Published 3 days ago

data integration

SQL

DevOps practices

Python

Key Responsibilities:

• 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 $47.90/hour - $74.85/hour. Our benefits include medical, dental, vision and retirement benefits.

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.