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3 results for Cloud Computing Analyst in Shelton, CT

Cloud Engineer

Madison, CT
remote
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Cloud Engineer to support and strengthen a secure, resilient, and scalable cloud environment in Madison, Connecticut. This position focuses on building and maintaining infrastructure that supports operational reliability, strong performance, and regulatory alignment. The ideal candidate brings hands-on cloud engineering experience, a proactive approach to automation, and the ability to work effectively with technical teams across the organization. Responsibilities: • Architect, deploy, and support cloud infrastructure solutions that emphasize security, availability, and long-term scalability. • Administer core shared platform services and ensure stable day-to-day operation of cloud-based systems and resources. • Configure and manage cloud components across compute, storage, and network layers to meet business and technical requirements. • Develop and enhance automation for infrastructure provisioning and configuration management using tools such as Python, Terraform, Ansible, and cloud-native services. • Create and maintain standardized machine images by using image-building tools and configuration frameworks to improve consistency and governance. • Track infrastructure health and performance, investigate service disruptions, and resolve issues through effective troubleshooting and root cause analysis. • Evaluate emerging cloud capabilities and provide technical recommendations on services that could improve performance, security, or efficiency. • Maintain patching practices for both Linux and Windows environments to help protect systems and preserve operational stability. • Partner with infrastructure and application teams to integrate cloud platforms with existing systems and support automated deployment pipelines.
2026-05-05T00:00:00Z

Cloud Engineer

Stamford, CT
onsite
Temporary / Contract
67 - 76 USD / Hourly
We are looking for a Cloud Engineer to support and enhance enterprise cloud operations in Stamford, Connecticut. This Long-term Contract position is ideal for someone who can build reliable Azure environments, improve infrastructure automation, and help maintain secure, highly available platforms. The role will work closely with engineering and security partners to deliver scalable cloud solutions and strengthen operational performance. Responsibilities: • Build, configure, and sustain Azure infrastructure through Infrastructure as Code practices using Terraform. • Manage the full lifecycle of Azure resources, including subscriptions, networking, storage, compute, and core platform services. • Develop and support cloud network architecture across virtual networks, security groups, firewalls, load balancing, and hybrid connectivity components. • Provision and administer Azure compute services such as virtual machines, scale sets, and managed platform offerings. • Connect infrastructure deployments with CI/CD workflows to enable consistent automation for releases and environment updates. • Administer identity and access controls with Microsoft Entra ID, managed identities, and conditional access policies. • Monitor platform health, respond to alerts, and drive preventive actions to improve resilience and service uptime. • Implement recovery strategies by supporting backup, disaster recovery, and business continuity capabilities within Azure. • Collaborate with security stakeholders to apply cloud governance standards, risk controls, and compliance-focused configurations. • Investigate complex cloud issues, document findings, maintain operational runbooks, and contribute to cost and capacity optimization efforts.
2026-05-19T00:00:00Z

Data Engineer

Poughkeepsie, NY
remote
Temporary / Contract
58 - 77 USD / Hourly
We are looking for an experienced Data Engineer to join a team delivering modern data solutions in Poughkeepsie, New York. This Long-term Contract position focuses on building reliable, scalable data platforms in Databricks while supporting analytics needs across the business. The role calls for a hands-on engineer who can improve data performance, uphold governance standards, and partner effectively with cross-functional stakeholders in an agile environment. Responsibilities: • Create and support scalable data pipelines in Databricks using Spark technologies such as PySpark or Scala to process and deliver high-quality data. • Develop lakehouse architectures on Azure Data Lake Storage Gen2 and ensure strong integration with Databricks for efficient data management. • Establish and monitor data quality controls and governance practices within the platform using validation methods and Delta Lake capabilities. • Investigate pipeline and application inefficiencies, then implement tuning strategies to improve Spark and Databricks performance. • Work closely with analysts and other stakeholders to translate business data needs into refined, analytics-ready datasets. • Automate ingestion, transformation, testing, and release processes, including integration with CI/CD workflows where appropriate. • Provide guidance to less experienced engineers by sharing best practices for Databricks development, optimization, and support. • Maintain clear technical documentation for notebooks, workflows, data models, configurations, and operational procedures. • Protect data assets by applying security controls and compliance standards across the Databricks environment. • Contribute to design sessions, solve complex data issues, and uphold change management and data integrity standards while delivering large assignments on schedule.
2026-05-26T00:00:00Z