Senior Backend Engineer
Kforce Technology Staffing
San Antonio, TX (In Person)
Full-Time
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Job Description
RESPONSIBILITIES
Kforce has a client that is seeking a Senior Backend Engineer in San Antonio, TX.Summary:
The Senior Backend Engineer will build, operate, and scale Python APIs and backend services that integrate AI capabilities (e.g., Google Gemini via Vertex AI) to power internal and external applications. You will not build models; you will productionize integrations, orchestrations, and data flows around them.Duties:
- Design, implement, and document FastAPI services and SDKs for AI features
- Integrate third-party AI providers (Gemini, Bedrock, OpenAI) with secure, observable patterns
- Build event-driven and synchronous backends (REST/webhooks/queues) with robust error handling
- Optimize latency, throughput, and cost; Add caching, rate limiting, and retries/circuit breakers
- Ship high-quality code with tests, CI/CD
- Instrument services (structured logs, metrics, traces) and own production readiness/runbooks
- Collaborate with product, data, and ML teams to translate requirements into APIs and workflows
- Uphold security, privacy, and compliance (secrets, OAuth/OIDC, PII handling)
REQUIREMENTS
- 4-8+ years of software engineering (mid-senior); strong Python 3.x
- Production FastAPI (or Flask) delivering secure, versioned APIs
- Cloud experience on Google Cloud Platform or AWS (e.g., Cloud Run/GKE/Pub/Sub or Lambda/EKS/API Gateway/SQS)
Datastores:
Postgres/MySQL and one of Redis/ElastiCache/Memorystore; Migrations and schema design- CI/CD (GitHub Actions/Cloud Build), containerization (Docker), IaC familiarity (Terraform helpful)
- Testing culture (unit/integration/contract), API specs (OpenAPI), and observability
- Strong grasp of resiliency patterns and performance tuning in distributed systems
Preferred Qualifications:
- Experience integrating AI services (Vertex AI/Gemini, AWS Bedrock, OpenAI) and prompt/response handling
- Intermediate data engineering skills with Python/SQL
Security:
OAuth/OIDC, JWT, service-to-service auth, KMS/Secrets Manager- Data pipelines basics (e.g., batch to feature/API), and schema evolution practices
- Front end experience with React is a big plus (this would ultimately mean a full stack candidate) The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role.
Note:
Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.Similar remote jobs
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