קריירה ב-PassportCard Labs

PassportCard Labs – Backend .NET Core Developer (Microservices)

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.

We are looking for a talented Backend .NET Core Developer to join our development team. In this role, you will be responsible for designing, building, testing, modifying, and implementing backend services and APIs. You will work closely with business and product stakeholders, build scalable and reliable systems based on microservices architecture, and contribute to operational excellence through strong observability and quality practices.

Responsibilities

• Maintain close, ongoing contact with business/product stakeholders to define requirements and scope
• Design and implement backend services and APIs using C# / .NET
• Build and maintain microservices
• Develop and optimize data models and data access using MongoDB and PostgreSQL
• Ensure high reliability through monitoring, logging, and tracing (AWS observability) and production readiness
• Troubleshoot and debug complex issues across development, staging, and production environments
• Write clean, maintainable, scalable code and testing protocols (unit/integration tests)
• Review code, collaborate with other engineers, and contribute to technical design and architecture discussions
• Support CI/CD processes and deployments; continuously improve performance, stability, and maintainability
• Evaluate user/system feedback and recommend improvements

Requirements

• At least 3 years of professional software development experience
• Strong backend development experience with C# and .NET
• Proven experience working with microservices architecture and distributed systems concepts
• Hands-on experience with MongoDB and PostgreSQL (modeling, querying, performance tuning basics)
• Experience working in AWS environments and applying observability practices (logging/metrics/tracing)
• Familiarity with Git and CI/CD pipelines (e.g., Azure DevOps or equivalent tooling)
• Experience with ORMs and data access patterns (e.g., Entity Framework or similar)
• Familiarity with Agile development methodologies
• Strong problem-solving skills and ability to meet deadlines
• Excellent communication skills and ability to work independently or as part of a team

Advantages (Nice to Have)

• Knowledge of Kubernetes
• Experience with Argo CD
• Cloud programming experience and cloud-native patterns
• Background in secure programming / application security
• Experience working with Cursor (or similar AI-assisted IDEs)
• AI-first programming mindset (using AI tools to accelerate development, testing, debugging, and documentation)

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 looking for a FinOps Manager to lead cloud and AI cost optimization, improve financial accountability, and maximize the value of our cloud and AI/ML workloads. This role works across Engineering, DevOps, Data, AI/ML, Finance, and Leadership to drive visibility, efficiency, and governance in both cloud infrastructure and AI consumption and will be reporting directly to the VP of IT Infrastructure.

Responsibilities

Cloud & AI Cost Optimization

• Own and evolve the organization’s FinOps and AIOps cost strategy.
• Monitor and optimize spend for:
• Cloud compute, storage, networking
• SaaS AI services (e.g., OpenAI, Vertex AI, Bedrock, Azure OpenAI)
• Provide actionable recommendations for model selection, right-sizing, and inference optimization.

Reporting & Governance

• Build dashboards for real-time visibility into cloud and AI cost drivers.
• Implement cost allocation models for training vs. inference, environments, and business units.
• Define tagging standards, budgeting processes, and consumption guardrails.
• Track unit economics such as cost per inference, cost per model training run, and per-product AI usage.

Cross-Team Collaboration

• Partner with engineering, Data/AI teams, and finance to plan and forecast cloud & AI consumption.
• Guide teams in designing efficient architectures and model deployment strategies.
• Educate stakeholders on cost-aware engineering and AI usage best practices.

Requirements

• Proven experience in FinOps, Cloud Cost Management, AI/ML Infra, or Cloud Architecture.
• Strong understanding of AWS/Azure/GCP billing and AI pricing models.
• Experience with AI/ML workloads: training pipelines, GPUs, inference optimization, and model lifecycle management.
• Experience with cost tools such as AWS Cost Explorer, Kubecost, CloudHealth, Datadog, or AI usage analytics tools.
• Strong analytical, modeling, and communication skills.