Senior Backend Software Engineer (Python / TypeScript)

DBESTWORKZ LLC
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Clean Code Principles
API
Artificial Intelligence
Amazon Web Services (AWS)
Application Performance Management
Automation of Tests
Azure
Code Review
Continuous Integration
Data Structures
Software Debugging
Distributed Systems
Monitoring of Systems
Python
Enterprise Messaging Systems
Node.js
NoSQL
OAuth
Object-Oriented Software Development
Performance Tuning
Software Architecture
RabbitMQ
Openid Connect
Prometheus
Azure
JSON Web Token
Security Assertion Markup Language (SAML)
Software Deployment
Software Engineering
Systems Integration
TypeScript
Management of Software Versions
AI Infrastructure
Datadog
Google Cloud Platform
Large Language Models
Grafana
Concurrency
Backend
GIT
Event Driven Architecture
Kubernetes
Low Latency
Code Testing
Kafka
GraphQL
Asynchronous Programming
Api Design
Software Coding
REST
Docker
Microservices

Job description

We are seeking an exceptional Backend Software Engineer with deep expertise in building scalable APIs, distributed backend services, and system-to-system integrations. This role requires strong software engineering fundamentals, excellent coding skills in Python or TypeScript, and experience designing highly reliable, production-grade backend systems., * Design, develop, and maintain high-performance backend services and RESTful APIs.

  • Architect and implement scalable system-to-system integrations with internal and external platforms.
  • Build resilient microservices capable of handling high throughput and low latency.
  • Design clean, extensible APIs with strong security, versioning, and observability.
  • Optimize application performance, scalability, and reliability.
  • Develop automated tests, participate in code reviews, and uphold engineering best practices.
  • Collaborate closely with cross-functional engineering teams to deliver high-quality software.
  • Troubleshoot complex production issues and drive root-cause analysis.
  • Contribute to architectural decisions and mentor other engineers when appropriate.

Requirements

The ideal candidate is passionate about writing clean, maintainable code, solving complex engineering challenges, and building services that operate reliably at scale., * 6 - 8+ years of professional software engineering experience.

  • Expert-level proficiency in Python (preferred) or TypeScript/Node.js.
  • Strong experience designing and developing REST APIs and backend services.
  • Extensive experience building backend system-to-system integrations.
  • Deep understanding of distributed systems, concurrency, networking, and asynchronous programming.
  • Strong knowledge of data structures, algorithms, object-oriented design, and software engineering principles.
  • Experience with relational and NoSQL databases.
  • Experience deploying applications on AWS, Azure, or Google Cloud Platform.
  • Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and Git.
  • Strong debugging, performance tuning, and production support experience., * Experience building high-scale, mission-critical production systems.
  • Experience with event-driven architectures, Kafka, RabbitMQ, Pub/Sub, or similar messaging systems.
  • Familiarity with GraphQL and gRPC.
  • Experience implementing OAuth2, JWT, SAML, or OpenID Connect.
  • Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry.
  • Exposure to AI/ML platforms, LLM integrations, or AI infrastructure is a plus.

What We''re Looking For

  • Strong computer science fundamentals.
  • Exceptional problem-solving and debugging skills.
  • Ability to write clean, efficient, and well-tested code.
  • Experience designing systems for scalability, reliability, and maintainability.
  • Excellent communication and collaboration skills.

Interview Focus Areas

  • Advanced Python coding
  • API design and backend architecture
  • Distributed systems and microservices
  • Concurrency and asynchronous programming
  • System design
  • Data structures and algorithms
  • Production debugging and performance optimization

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