Jobs · Engineering · Texas

Cloud Back End Engineer

SLB · Houston, TX · 1 mo ago
Engineering$100/hrFull-time

Mission

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.

Relationships

Reports to Software Project Manager, Software Program Manager, Engineering manager or Team Leader

Responsibilities And Duties

  • Cloud-Native Development: Design and implement microservices utilizing cloud-native patterns (Serverless, Containerized Microservices, Event-Driven Architectures).
  • Distributed Systems & Scalability: Architect back-end systems that scale horizontally across multiple availability zones and regions, ensuring low latency and high 9s of availability.
  • Storage & Data Strategy: Optimize the use of cloud-native data stores and implement caching strategies to handle enterprise-level throughput.
  • Cloud Security & Compliance: Adhere to and build with best-in-class security practices
  • Scalable API Design and implementation: Build resilient APIs
  • Cost & Performance Optimization: Monitor and optimize cloud resource consumption (FinOps) to ensure back-end services are cost-effective without sacrificing performance.

Primary Technologies (at least 1 in each category)

  • Programming Languages: C#
  • Frameworks: .NET
  • API Development: REST, GraphQL
  • Database Integration: MongoDB, Redis, PostgreSQL, MySQL
  • Authentication & Authorization: OAuth2, JWT, SSO, LDAP
  • Caching & Performance: Redis, Memcached, asynchronous processing
  • Cloud Platforms: Azure, GCP, AWS

Secondary Technologies

  • Containers & Orchestration: Docker, Kubernetes
  • Monitoring & Logging: Application Insights, Prometheus, Grafana, Elastic Search
  • Cloud CI/CD Pipelines: Azure DevOps
  • Build & Release Automation: MSBuild, Shell scripts
  • Infrastructure Automation: Terraform, Ansible, Bash scripting
  • Message Broker: RabbitMQ, Azure Service Bus
  • Serverless Compute: Azure Functions
  • AI Coding assistants: Cursor, Claude Code, GitHub Copilot

Qualifications & Experience

  • 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

Behavior

  • 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.

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