Cloud Back End Engineer

SLBHouston, TX
Onsite

About The Position

We are seeking a Cloud Back-End Engineer to join our group. In this role, you will bridge the gap between application development and cloud infrastructure. You will be responsible for building high-performance, cloud-native services that leverage distributed computing patterns to serve our enterprise customers globally. The ideal candidate has a deep background in back-end engineering but views the cloud as a programmable environment, ensuring that our services are "born in the cloud" with high resiliency, elasticity, and security baked into the architecture.

Requirements

  • Bachelors in computer science, Computer Engineering, Mathematics, Applied Statistics, Information Technology or Engineer with focus on software
  • Have a good understanding of latest technological trends back-end development for Cloud applications
  • Interpersonal communication.
  • Oral and written communication.
  • Team players are respected by peers.
  • Leadership in applying and mentoring best practices.
  • Learn quickly in a fast-paced environment
  • Excellent time-management, multi-tasking, and communication skills. Capable of juggling multiple projects and related complexities at the same time.

Nice To Haves

  • C#
  • .NET
  • REST, GraphQL
  • MongoDB, Redis, PostgreSQL, MySQL
  • OAuth2, JWT, SSO, LDAP
  • Redis, Memcached, asynchronous processing
  • Azure, GCP, AWS
  • Docker, Kubernetes
  • Application Insights, Prometheus, Grafana, Elastic Search Cloud
  • Azure DevOps
  • MSBuild, Shell scripts
  • Terraform, Ansible, Bash scripting
  • RabbitMQ, Azure Service Bus
  • Azure Functions
  • Cursor, Claude Code, GitHub Copilot

Responsibilities

  • Design and implement microservices utilizing cloud-native patterns (Serverless, Containerized Microservices, Event-Driven Architectures).
  • Architect back-end systems that scale horizontally across multiple availability zones and regions, ensuring low latency and high 9s of availability.
  • Optimize the use of cloud-native data stores and implement caching strategies to handle enterprise-level throughput.
  • Adhere to and build with best-in-class security practices
  • Build resilient APIs
  • Monitor and optimize cloud resource consumption (FinOps) to ensure back-end services are cost-effective without sacrificing performance.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service