Define, design, and drive the evolution of the data platform and pipeline architecture powering Qualys' Enterprise TruRisk Platform.
Responsibilities
Define and drive the technical vision, architecture, and long-term strategy for the data platform and data pipeline ecosystem.
Design, build, and maintain highly scalable, high-availability data processing systems using Apache Spark, Apache Kafka, and distributed data technologies.
Lead architecture and design decisions across multiple engineering teams, ensuring solutions meet requirements for scalability, reliability, performance, security, and cost efficiency.
Design and implement event-driven, streaming, and large-scale data processing architectures to support real-time and batch workloads.
Troubleshoot, optimize, and resolve complex performance bottlenecks across data pipelines, distributed systems, and platform infrastructure.
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline.
Nice to have: high-volume enterprise platform environments
Seeking a Senior Software Engineer with expertise in C++ and system-level programming to design, develop, and support scalable endpoint security offerings and runtime-security solutions.
Responsibilities
Takes complete ownership for successful delivery of products, components, modules, and features assigned.
Demonstrates high-quality focus and applies engineering best practices including test-driven development and code quality standards.
Develop understanding of the complete product functionality spanning endpoint agents to backend services.
Runtime Security/EPP architecture
Customer use cases & Product workflows
Requirements
Bachelor's or Master's degree in Computer Science, Electronics, Instrumentation, or equivalent.
As an Integration Engineer, you will create, build and support global integration applications for all aspects of our commercial business, helping drive New Balance to be a Top 3 Global Athletic Brand.
Responsibilities
Develop and implement EDI, API and MFT integrations according to business requirements and technical specifications.
Develop custom connectors and middleware to bridge communication gaps between disparate systems.
Ensure adherence to coding standards, best practices, and security guidelines.
Design scalable, secure, and efficient solutions to facilitate seamless communication between different systems.
Define appropriate technical specifications, including endpoints, data formats, authentication mechanisms, and error handling.
Requirements
BS or higher degree in Computer Science or equivalent
About the Role
We are seeking a highly experienced and motivated DevOps Engineer to support the PumpTest project—a strategic initiative focused on pump performance testing and automation. This role is essential for ensuring reliable deployment, monitoring, and scaling of microservices across cloud environments. You will work closely with development teams to streamline CI/CD processes, manage infrastructure, and maintain high system availability.
Primary Technical Qualifications
Experience running and troubleshooting Kubernetes workloads in production
Should be able to handle local workload with K3S.
Proven experience deploying microservice applications in Docker containers
Deep understanding of Docker networking (host, bridge) and container troubleshooting
Hands-on experience with at least one programming language (e.g., Java, C#)
Strong knowledge of load balancing, auto-scaling, and Linux server administration
Ability to configure centralized logging, monitoring, and alerting using tools like Grafana, Prometheus
Active collaboration with development teams for successful deployments
Exposure to Kafka and Elastic search platforms
Secondary Skills (Preferred)
Familiarity with API Gateway, NGINX, and Nexus repository
Experience with Ansible for configuration management
Knowledge of Terraform and Puppet for infrastructure automation
Hands-on with Azure Infrastructure including AKS, Azure Container Registry, and Active Directory
CI/CD experience with tools like Jenkins, GitHub Actions, GitLab, or Azure DevOps