Software Engineer, Backend
Build and maintain scalable enterprise backend systems, APIs, integrations, and ML data pipelines using Python, Go, cloud technologies, and modern AI architectures. The role requires 7+ years of experience, strong software engineering fundamentals, and experience with databases, containers, SaaS, and enterprise integrations.
About the job
Responsibilities
- Develop and maintain enterprise software applications, including API, data, application, and service development.
- Write clean, efficient, and maintainable code using test-driven development.
- Build scalable and reliable back-end systems with Go and Python.
- Develop and maintain APIs using REST, gRPC, or GraphQL.
- Integrate enterprise applications and services using scalable frameworks such as FastAPI.
- Build and maintain data schemas using PostgreSQL and NoSQL technologies.
- Design data pipelines for machine learning using data engineering technologies, event-driven systems such as Temporal and Kafka.
- Work with foundational LLMs, including OpenAI, Gemini, and Claude.
- Ensure applications are secure and follow industry best practices.
- Design and develop enterprise-grade features and modules using SOLID principles.
- Develop highly available, low-latency enterprise software using agentic architectures, LLMs, and retrieval-augmented generation (RAG).
- Continuously improve software development processes and practices.
Requirements
- Bachelor's degree in Computer Science or a related field.
- 7+ years of relevant work experience.
- Strong background in algorithms, data structures, and object-oriented programming.
- Experience with back-end development using Python and Go.
- Knowledge of PostgreSQL, Elasticsearch, and Redis.
- Knowledge of designing and building API platforms and integration systems.
- Experience with cloud technologies such as Google Cloud.
- Experience with Docker and Kubernetes.
- Experience integrating enterprise applications, including frameworks and authentication.
- Understanding of security best practices and protocols for enterprise software.
- Experience deploying software in multi-tenant SaaS environments.
- Knowledge of HTML, CSS, JavaScript, and front-end frameworks such as React or Angular.
- Strong problem-solving skills and attention to detail.
- Ability to work independently and collaboratively.
- Experience working with global teams.
Nice to Have
- Experience with agentic systems, LLMs, and knowledge search.
Compensation and Benefits
- Compensation is determined by location, level, job-related knowledge, skills, and experience.
- Certain roles may be eligible for variable compensation, equity, and benefits.
Skills
Python, Go, REST APIs, gRPC, GraphQL, FastAPI, Postgres, Elasticsearch, Redis, GCP, Docker, Kubernetes, Kafka, Temporal, React
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