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The Data Solution Architect will develop and evolve the Enterprise Data Platform architecture, collaborating across technical teams to deliver scalable and secure data solutions that meet enterprise standards and customer needs.
The Senior Software Engineer, Data at Autodesk Research focuses on building scalable data pipelines for machine learning and collaborating with global teams to develop ML-powered product features while ensuring compliance and security in data usage.
The Platform Engineer will design, implement, and manage cloud infrastructure on AWS, develop CI/CD pipelines using GitHub Actions, and optimize development workflows. Responsibilities include managing Kubernetes clusters, troubleshooting issues, and participating in on-call support while collaborating with development teams.
The Site Reliability Engineer will work within the Network and Security Operations Center to improve platform reliability and uptime. Responsibilities include supporting services before they go live, maintaining system health, developing automation tools, implementing CI/CD solutions, and collaborating with internal teams to enhance system performance.
The Staff Software Engineer - DevOps will build and maintain cloud infrastructure for data processing and MLOps, implement DevOps practices using AWS EKS, and develop infrastructure modules with Terraform. The engineer will ensure production reliability and apply security best practices while collaborating with other engineering teams.
As a Senior Solutions Engineer, you'll support enterprise customers by partnering with account executives to change their approach to cloud security. Responsibilities include delivering demonstrations, planning proof of value tests, and representing the company at industry events. You'll gain technical knowledge in cloud security and be a trusted advisor.
The Senior Solutions Architect is responsible for designing application and infrastructure solutions aligned with enterprise architecture, leading design and implementation of complex systems, collaborating with various teams, and ensuring that solutions comply with architectural standards and deliver business value.
As a DevOps Architect II, you will design and maintain the enterprise footprint while ensuring server health and stability. You'll lead engineering teams, develop architectural documents, create monitoring solutions, and assist junior engineers in best practices. You are expected to work with stakeholders to prioritize production-ready user stories and handle system outages effectively.
The Sr. DevOps/Cassandra Engineer will enhance our AWS and GCP cloud infrastructure, ensuring scalability and security. Responsibilities include participating in on-call rotations, implementing infrastructure automation, managing vendor relations, and optimizing AWS costs. The role requires hands-on troubleshooting and collaboration with the engineering team.
We seek an experienced Cloud Application Architect to design and implement secure, scalable cloud solutions using AWS. Responsibilities include creating resilient architectures, implementing secure encryption strategies, collaborating with teams for compliance, conducting architecture reviews, and managing communication across functions.
The Cloud Application Architect designs and implements secure, scalable cloud solutions on AWS while ensuring high standards of security, performance, and compliance. Responsibilities include overseeing architecture documentation, conducting architectural reviews, and collaborating with cross-functional teams to integrate security controls in cloud applications.
The Senior DevOps Engineer at Nuvei manages and optimizes cloud infrastructure on AWS and Azure, implements automation with Terraform, enhances CI/CD pipelines in Azure DevOps, and collaborates with cross-functional teams. Responsibilities also include scaling Kubernetes operations, troubleshooting Java applications, and creating robust monitoring systems.
As a Cloud Engineer, you will build scalable infrastructure on cloud platforms, assist in developing consumer and enterprise applications, design IaC scripts, automate deployment pipelines using CI/CD tools, manage cloud security policies, and work closely with a skilled development team.
As a Cloud FinOps Architect, you will analyze financial data related to cloud expenses, track usage anomalies, and generate reports to aid in budgeting and forecasting. Collaborating with engineering and FinOps teams, you will identify cost-saving opportunities, create financial models, and maintain cost optimization practices within the AWS ecosystem.
The Senior QA Engineer at HHAeXchange will design, implement, and execute test plans for a healthcare SaaS platform, focusing on ensuring software quality and reliability. Key responsibilities include manual and automated testing, defect tracking, and collaborating with cross-functional teams while mentoring junior QA members.
The Senior DevOps Engineer at Armis will collaborate with software development teams to automate deployments, manage AWS infrastructure, design CI/CD pipelines, and implement container orchestration solutions. The position requires optimizing deployment processes and providing on-call support as needed.
Develop and integrate software solutions using the Braze platform, ensuring high code quality, collaboration within the team, and maintaining communication throughout the development lifecycle. Take part in architecture, coding, and support release processes for live applications.
The Senior DevOps Engineer will manage and improve Frontify's cloud infrastructure, ensuring performance and reliability through monitoring and observability frameworks. They will optimize web servers and databases, handle containerization using Docker, utilize AWS services, and support deployments while working collaboratively with various teams.
The Sr Data Cloud Engineer will develop data pipelines and implement ETL processes, utilizing AWS tools like Glue and Athena. Responsibilities include data ingestion, transformation, optimizing performance with Informatica, and ensuring timely delivery of high-quality work. The role requires collaboration with business partners and expertise in data warehousing concepts.
The Staff Platform Engineer will design, develop, and maintain the Altos cloud platform, optimize systems for scientific applications, and work collaboratively with diverse research teams. Responsibilities include implementing cloud technologies, overseeing resource allocation costs, administering high-performance file systems, and enhancing system reliability through automation and CI/CD pipelines.
As a Senior Site Reliability Engineer at Zensurance, you will develop and provide infrastructure security and monitoring, guide DevOps teams in microservice architecture, and participate in on-call rotations. You will also coach junior engineers and improve craft capabilities.
The Solutions Consultant role involves collaborating with clients to understand their needs in DevOps and cloud adoption, architecting scalable solutions, providing technical leadership during implementation, mentoring team members, and collaborating with internal teams to ensure project success. This position also includes conducting training sessions, participating in proposal responses, and contributing to product and service improvement.
As an A.I. Backend Engineer at BeHeard, you will design and deploy backend systems, ensuring high availability and reliability for key pilot customers. You will collaborate closely with the CTO, utilizing AWS services and maintaining databases like Postgres and DynamoDB while adhering to code quality standards.
As an AI Solutions Principal Engineer, you will design and implement complex software systems, lead cross-functional teams, and develop AI-driven solutions using Python and cloud platforms like AWS and Azure. You'll ensure scalable architectures and manage DevOps processes and machine learning pipelines.
The Data Engineer will design databases, manage complex data sets, and develop self-service dashboards. They will apply analytical skills to derive insights for solving business problems and enhance data analytics capabilities within the company.
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