PassportCard Labs is where innovation meets impact. As the technological powerhouse behind PassportCard, we design and build cutting-edge solutions that revolutionize the insurance industry. Whether it’s real-time claims payments or predictive analytics, our Labs team is at the forefront of driving change and shaping the future of insurance. Ready to innovate with us? We are seeking a highly skilled and experienced DevOps Infrastructure Engineer with at least 2.5 years of hands-on experience working in cloud environments such as AWS and Azure . The ideal candidate will have a strong background in automating infrastructure deployments, managing cloud environments, and working with Azure DevOps pipelines to ensure smooth CI/CD processes. You will be responsible for developing, implementing, and maintaining infrastructure as code (IaC), optimizing cloud resources, and improving the scalability and reliability of our systems. Key Responsibilities: Cloud Infrastructure Management: Design, implement, and manage scalable and secure cloud infrastructure in both AWS and Azure environments. CI/CD Pipeline Development: Build and maintain efficient Azure DevOps pipelines to automate deployments and streamline application lifecycle management. Automation & Scripting: Develop and maintain automation scripts using tools such as Terraform Ansible , or CloudFormation to provision, configure, and manage cloud resources. Monitoring & Optimization: Implement monitoring solutions to track infrastructure performance and availability and optimize resources for cost efficiency. Collaboration: Work closely with development and operations teams to design and implement infrastructure solutions that support agile development and deployment processes. Security: Implement security best practices for cloud infrastructure, including identity management, data protection, and compliance with industry standards. Incident Response & Troubleshooting: Respond to incidents and troubleshoot infrastructure-related issues, ensuring high availability and performance. Documentation: Maintain clear and up-to-date documentation of infrastructure configurations, processes, and procedures.

We are seeking a highly skilled and motivated MLOps Engineer to join our team and play a critical role in the deployment, automation, and maintenance of our Machine Learning infrastructure. You will be responsible for ensuring that our ML models move seamlessly from experimentation to production with stability, security, and scalability in mind. You will work closely with data scientists, Machine Learning engineers, and DevOps teams to build robust model pipelines, manage infrastructure across on-prem and cloud, and enforce best practices in version control, model deployment, and compliance. Key Responsibilities: Design, implement, and maintain automated model training pipelines using tools such as MLflow, (Kubeflow, Airflow), or custom orchestrators. Support reproducibility and consistency across model training environments. Implement and manage Artifactory. Establish and maintain model registries to track versions, metadata, and lineage. Automate model promotion through staging, testing, and production environments. Build CI/CD pipelines tailored for ML use cases, integrating model training, validation, deployment, and rollback. Manage and scale infrastructure across cloud platforms (Azure) and on-premise environments Optimize GPU/CPU resource utilization and cost efficiency. Implement auto-scaling and load balancing strategies for ML workloads. Manage version control systems (e.g., Git) and integrate with experiment tracking tools. Handle Storage and retrieval of artifacts (e.g., Docker images, models, datasets) via artifact registries like JFrog Artifactory or AWS ECR.

Were looking for a hands-on AI Architect to join our Platform infrastructure (Gen AI applications team) where you'll have the unique opportunity to collaborate with our strategic technical leadership and the development of next-generation technologies for modern software release management, driving the industry forward.
As an AI Architect you will...
Design, develop, and implement various ML and AI-based solutions to address business needs and objectives
Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI solutions
Explore and experiment with novel ML and AI techniques and architectures to drive innovation
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
Ensure the scalability and reliability of LLM-based system architectures
Provide technical guidance and mentorship to development teams on AI and ML technologies and practices
Influence the AI priorities of the company. Your decisions will shape our future direction in AI, and have a significant impact on our AI initiatives.

we are looking for a Azure Devops

The quality team is looking for a highly motivated and experienced Quality Architect, with proven experience in test design, automation and performance, to boost the quality of our growing products. In this role, you will provide leadership and guidance to R&D and quality engineering teams, ensuring they adhere to industry standards and deliver high-quality, reliable software products.
As a QA Architect you will...
Define the QA strategy, approach, standards and execution to quality testing across our suite of products and collaborate with other leaders to build the approach
Continually improve the operational efficiency and effectiveness of the QA effort by assessing current quality assurance practices and incorporating new strategies
Build new performance and scale testing and choose tools to ensure the optimal performance of code
Design and build our automation infrastructure framework and its building blocks
Oversee product release quality and risks in our self-hosted and SaaS products
Define and implement quality metrics and reporting mechanisms
Continually improve the operational efficiency and effectiveness of QA by assessing current quality assurance practices and incorporating new strategies.

We at Commit are looking for a senior DevOps Engineer with an ability to deliver, implement and design complex solutions.
Responsible for designing and implementing the principles of organization's transition into the cloud, ability to protect customers information, applications and networks in the cloud, including the connection to on-prem.
You will deliver complex production environments projects such as: servers scalability/redundency, Clusters, IoT / Analytics solutions, high workloads/transactional systems, Application migrations, PCI/HIPAA compliance, etc.

Were seeking a skilled and experienced Salesforce Expert to join our dynamic team. The role requires excellent tech lead skills, system analysis experience, and skills in Salesforce CRM as well as other business applications. In this role, you will be responsible for implementing change management processes and automation tools to streamline deployments, staying updated on Salesforce platform updates, new features, and best practices, and driving continuous improvement initiatives within the team.
As a Salesforce Solutions Architect you will
Be responsible for a holistic view of SFDC implementation as part of the Lead to Cash process.
Act as release manager for cross-functional SFDC implementations
Identifying potential risks and dependencies associated with releases
Be proactive with best practices, new technologies, and new offerings
Act as a technical resource for the team
Staying updated on Salesforce platform updates, new features, and best practices and driving continuous improvement initiatives within the team.
Track and manage changes to Salesforce configurations, code, and metadata, ensuring compliance with organizational policies and procedures.
Guide and mentor a team of Salesforce administrator.

We are seeking an Architect to join the Office of the CTO and be part of a group of Architects who provide technical leadership and help Engineering build next-generation products to manage modern software releases.
As a Software Architect you will...
Define architectural approaches and detailed technical Engineering specifications
Develop architectural POCs, research technical innovations and evaluate new technologies
Provide architectural oversight and guidance to Engineering teams, negotiate trade-offs and drive issues to closure
Work with Product Management to understand business requirements and market trends
Review code and perform acceptance testing to ensure quality and consistency with architectural vision
Help to steer the architectural and Engineering priorities of the company.