We’re looking for a Senior Cloud Engineer who combines cloud and infrastructure expertise with strong backend engineering skills. This role is ideal for someone who can design, build, and operate scalable systems end-to-end, writing production-grade code while also shaping the cloud architecture it runs on.
You’ll work across the stack: from application logic and system design to infrastructure, deployment pipelines, and observability.
What You’ll Do:
Architect and manage cloud infrastructure (primarily AWS/GCP/Azure)
Own systems end-to-end: design, implementation, deployment, and production operations
Design, build and maintain Infrastructure as Code (CDK)
Design CI/CD pipelines and improve developer productivity and release processes
Implement monitoring, logging, and alerting (Prometheus, Grafana, Coralogix)
Ensure high availability, performance, and security of systems in production
Drive best practices in software engineering, system design, and code quality
Collaborate closely with backend engineers, data teams, and product
Troubleshoot complex production issues across application and infrastructure layers
Requirements:
- Backend / Software Engineering
Strong experience building production backend systems (TypeScript, Golang, Python)
Deep understanding of system design (scalability, concurrency, distributed systems)
Solid coding skills and clean code practices
Experience with APIs, microservices, and event-driven architectures
Strong understanding of testing, CI/CD, and software lifecycle
Cloud & InfrastructureHands-on experience with at least one major cloud provider (AWS/GCP/Azure)
Strong knowledge of cloud-native architecture and services (compute, storage, networking)
Experience with containers and orchestration (Docker, Kubernetes)
Experience with Infrastructure as Code (Terraform/CDK/Pulumi)
Familiarity with networking concepts (VPCs, load balancers, DNS, security groups)
Familiarity with Kubernetes and microservices architectures.
Experience building and maintaining CI/CD pipelines
Operational ExcellenceExperience with designing and implementing complex architectures that requires coding excellence
Experience with monitoring, logging, and observability tools
Strong debugging and incident response skills
Understanding of reliability engineering (SLOs, SLIs, error budgets)
Nice-to-Have:
Experience designing multi-region or highly available systems
Background in DevOps/SRE practices
Experience with data platforms or streaming systems (Kafka, etc.)
Security best practices and compliance experience
Background with mesh systems like Istio
Familiarity with Kubernetes design patterns (operators, controllers etc) or with Crossplane
What Makes You a Great Fit:
You think like a software/platform engineer
You’re comfortable moving between code and infrastructure seamlessly
You take ownership of systems in production
You value clean design, automation, and reliability
You can zoom out to architecture, and dive deep into code when needed
What We Do
Lendbuzz is an AI-based auto finance platform that helps consumers with thin or no credit history obtain financing when purchasing a car. Powered by machine learning and proprietary algorithms, Lendbuzz can assess the creditworthiness of consumers with limited credit history—a group underserved by traditional banks. Through their auto dealership partners, Lendbuzz offers consumers attractive financing solutions while opening up opportunities for those dealerships to serve a more diversified client base. Lendbuzz is headquartered in Boston, Massachusetts and was founded in 2015.
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