Cloud Ops Consultant

at  Teamwork Corporate

Company Description
Would you like to contribute to exciting digital transformation projects with people who are passionate about innovation? With TeamWork Management, the possibilities are endless. We are a local fast-growing company with a global reach, powered by the Swiss group TeamWork Corporate and 20 years of uninterrupted growth.
Joining our TeamWork Management subsidiary in Boston means being part of our US-based team with 60 information technology specialists in a fun environment where diversity and international talent are put forward. We offer opportunities for continuous learning, a robust benefits package, remote work flexibility, and lots of company perks!

WHO ARE WE?

TeamWork is an independent international group, founded in 1999 in Geneva by our current CEO Philippe Rey-Gorrez. We are your strategic partner in digital transformation, specializing in four core businesses: Management Consulting, SAP Business Solutions, Data Analytics and Technology Platforms. Recognized by our clients for our expertise and experience, TeamWork supports both major international groups and SMEs. TeamWork Management, the group’s US subsidiary, was created in 2017.
With US offices in Boston, Fort Lauderdale and San Diego, our approach is universal: supporting our clients in all aspects of their digital transformation projects
Job Description
As a Cloud Ops Consultant, you will leverage your expertise in cloud infrastructure, data management, and DevOps principles to design, implement, and optimize client cloud solutions. You will collaborate with cross-functional teams to modernize infrastructure, streamline data workflows, and implement automation to drive efficiency and reliability.

QUALIFICATIONS

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Extensive experience working with cloud platforms (AWS, Azure, GCP) and related services.
• Strong understanding of infrastructure automation, DevOps practices, and CI/CD pipelines.
• Expertise in data management, including data warehousing, data lakes, and ETL/ELT processes.
• Experience with containerization and orchestration technologies (Docker, Kubernetes).
• Proficiency in scripting and programming languages (Python, Bash, PowerShell).
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.
• Experience: 4 to 8 years

PREFERRED QUALIFICATIONS:

• Familiarity with security and compliance frameworks.
• Cloud certifications from AWS, Azure, or GCP.
• Experience working with big data technologies (Hadoop, Spark).

• Cloud Infrastructure Assessment and Design: Evaluate clients’ existing infrastructure, identify areas for improvement, and design cloud-native architectures that align with business objectives.
• Infrastructure Implementation and Migration: Lead the implementation or migration of workloads to cloud platforms (AWS, Azure, GCP, etc.), ensuring seamless transitions and minimal disruption.
• Data Management and Pipelines: Design and implement data storage, processing, and analytics solutions. Develop data pipelines that enable efficient data movement and transformation.
• DevOps Automation: Implement automation tools and practices to streamline software development, testing, and deployment. Build CI/CD pipelines and infrastructure as code (IaC).
• Monitoring and Performance Optimization: Set up monitoring systems to track infrastructure and application performance. Analyze data to identify and resolve bottlenecks.
• Security and Compliance: Ensure cloud infrastructure and data adhere to industry standards and regulations. Implement security best practices and identity and access management (IAM).
• Collaboration and Communication: Work closely with developers, data engineers, security teams, and other stakeholders to ensure successful project delivery. Communicate complex technical concepts effectively.
• Problem-Solving and Troubleshooting: Identify and resolve issues that arise in cloud environments. Troubleshoot performance, connectivity, and security problems.