Sr. Software Engineer

Apply now: Sr. Software Engineer, location is Remote. The start date is ASAP for this Contract position.

Job Title: Sr. Software Engineer

Location-Type: 100% Remote

Start Date Is: ASAP

Duration: Contract (6 Months w/ potential for extension)

W2 Pay Rate Range: $50/hr - $55.00/hr W2

Benefits: Medical, dental, vision, 401k

Not eligible for visa sponsorship

Job Description

We are seeking a senior-level backend software engineer to design, build, and maintain scalable, secure, and high-performance APIs and distributed systems in a modern cloud-native environment.

Day-to-Day Responsibilities:

• Build and maintain high-performance APIs using GraphQL and REST
• Design and develop secure, scalable backend services using modern architectures
• Collaborate with cross-functional teams to implement API integrations and federation
• Develop GraphQL subgraphs and manage schema composition using Apollo
• Manage and optimize data layers across PostgreSQL and data warehouse systems
• Deploy and operate services using cloud platforms (AWS, GCP, Azure)
• Implement observability practices including logging, metrics, and distributed tracing
• Maintain CI/CD pipelines and ensure reliable, zero-downtime deployments

Requirements:

Must-Have Skills/Experiences:

• Strong proficiency in Golang and TypeScript (Node.js)
• Experience building APIs using GraphQL (Apollo) and REST
• Hands-on experience with ORMs such as GORM, Prisma, or TypeORM
• Experience with relational databases (PostgreSQL) and data modeling
• Cloud experience with AWS, GCP, or Azure (serverless + containerized environments)
• Knowledge of security protocols (JWT, OIDC, RBAC)
• Experience with CI/CD pipelines, infrastructure as code (Terraform/CDK)
• Strong understanding of observability tools (logging, monitoring, tracing)

• Nice-to-Have Skills/Experiences (NOT required, but a plus!) :
  • Experience with GraphQL federation and Apollo Router
  • Familiarity with event-driven systems (SQS, EventBridge, or similar)
  • Experience integraating with data warehouses such as Snowflake
  • Exposure to distributed systems design and performance optimization