SysTechCorp Inc
Job Description:
Design & build production-grade services and APIs (FastAPI / Django / Flask) using clean, well-tested Python. Architect scalable systems (microservices, event-driven patterns, async I/O, caching) with high availability and failover. Data & storage: model schemas; write efficient SQL; integrate with Postgres/MySQL, caching (Redis) Performance & reliability: profile (cProfile, py-spy), tune hot paths, apply back-pressure, circuit breakers, retries, and idempotency. Security & compliance: enforce authN/Z, secrets management, secure coding, dependency hygiene (SCA), and data protection. DevOps & quality: code reviews, automated testing (pytest), static typing (mypy/pyright), linting, and CI/CD best practices. Cloud & platform: containerize ; deploy to Kubernetes or serverless (Azure Functions); manage IaC (Terraform). Observability: instrument with OpenTelemetry; create actionable dashboards/alerts
Minimum qualifications 10+ years of professional software engineering with Python in production. Deep expertise with at least one Python web framework (FastAPI, Django, or Flask) and modern async programming. Strong CS fundamentals: algorithms, data structures, and concurrency Proven experience designing distributed systems and event-driven architectures. Solid SQL/ORM experience (SQLAlchemy/Django ORM) and schema design. Mastery of testing (unit/integration/contract), CI/CD (GitHub /Azure DevOps), and release strategies. Hands-on with cloud (Azure), containers, Kubernetes, and infrastructure automation. Excellent communication; ability to lead cross-functional initiatives.
Nice to have : Security background: OAuth2/OIDC, Key Vault/Secrets Manager, threat modeling, SDLC governance. FinTech domain experience Front-end familiarity (React) for API-consumer alignment.
Design & build production-grade services and APIs (FastAPI / Django / Flask) using clean, well-tested Python. Architect scalable systems (microservices, event-driven patterns, async I/O, caching) with high availability and failover. Data & storage: model schemas; write efficient SQL; integrate with Postgres/MySQL, caching (Redis) Performance & reliability: profile (cProfile, py-spy), tune hot paths, apply back-pressure, circuit breakers, retries, and idempotency. Security & compliance: enforce authN/Z, secrets management, secure coding, dependency hygiene (SCA), and data protection. DevOps & quality: code reviews, automated testing (pytest), static typing (mypy/pyright), linting, and CI/CD best practices. Cloud & platform: containerize ; deploy to Kubernetes or serverless (Azure Functions); manage IaC (Terraform). Observability: instrument with OpenTelemetry; create actionable dashboards/alerts
Minimum qualifications 10+ years of professional software engineering with Python in production. Deep expertise with at least one Python web framework (FastAPI, Django, or Flask) and modern async programming. Strong CS fundamentals: algorithms, data structures, and concurrency Proven experience designing distributed systems and event-driven architectures. Solid SQL/ORM experience (SQLAlchemy/Django ORM) and schema design. Mastery of testing (unit/integration/contract), CI/CD (GitHub /Azure DevOps), and release strategies. Hands-on with cloud (Azure), containers, Kubernetes, and infrastructure automation. Excellent communication; ability to lead cross-functional initiatives.
Nice to have : Security background: OAuth2/OIDC, Key Vault/Secrets Manager, threat modeling, SDLC governance. FinTech domain experience Front-end familiarity (React) for API-consumer alignment.