Full Stack Python Backend Engineer

Voto Consulting 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
Agile Methodologies
Amazon Web Services (AWS)
Mobile Application Development
Code Review
Continuous Integration
Distributed Systems
Python
Node.js
Performance Tuning
Systems Development Life Cycle
Azure
Next.js
Software Engineering
Data Logging
React
Grafana
Prompt Engineering
Backend
Cloudformation
Solid Principles
Kubernetes
Information Technology
Front End Software Development
Functional Programming
Api Gateway
REST
Terraform
Go
Microservices

Job description

The Senior Full Stack Engineer designs, builds, and supports high-quality solutions for our member and agent portals in support of Client's growing business strategies. This hands-on role requires strong expertise in modern frontend (React, Next.js) and backend (Python, Go, Node.js) technologies within a microservices and AWS-based environment, with regular collaboration across onshore and offshore engineering teams.

Responsibilities:

Development & Architecture

Design, develop, and maintain application features across frontend (React, Next.js) and backend services (Python, Go, node.js).

Participate in architectural design discussions and contribute to technical direction of applications and services.

Implement RESTful APIs and backend services following SOLID design principles and microservices best practices.

Write clean, testable, maintainable code with appropriate unit, integration, and end-to-end tests.

Own services through the full SDLC: requirements, design, coding, testing, deployment, monitoring, and support.

Collaboration & Leadership

Work within an Agile team with product owners, QA, and engineers to deliver incremental value.

Collaborate closely with offshore team members, ensuring clear requirements, shared design understanding, and consistent coding standards.

Coordinate handoffs and overlap with offshore teams to maintain velocity and manage dependencies.

Mentor junior and mid-level engineers (onshore and offshore) through code reviews, pairing, and coaching.

Infrastructure & Operations

Contribute to CI/CD pipeline improvements for automated, reliable deployments to AWS.

Work with AWS services (EKS, Lambda, API Gateway) and Kubernetes/EKS for container orchestration.

Participate in on-call rotations to troubleshoot production issues, perform root cause analysis, and implement fixes.

Ensure solutions are scalable, reliable, and secure, meeting internal and external customer needs.

Continuous Improvement

Stay current with emerging technologies and propose improvements to enhance capabilities and productivity.

Collaborate with leadership to evolve technical standards, coding guidelines, and best practices.

Explore opportunities to leverage Amazon Bedrock and prompt engineering for intelligent features (if applicable).

Requirements

Bachelor''s degree in computer science, mathematics, engineering, or related field, or equivalent practical experience.

8+ years of professional software engineering experience in full stack or backend-focused roles.

Hands-on expertise in:

Backend: Python, Go, node.js

Frontend: React, Next.js

Strong understanding of microservices architecture and container orchestration (Kubernetes/EKS).

Experience with AWS services: EKS, Lambda, API Gateway, CloudFormation/Terraform.

Proficiency in CI/CD pipelines and deployments to AWS.

Solid understanding of REST principles and SOLID design principles.

Collaboration & Communication

Experience collaborating with offshore or distributed teams across time zones.

Excellent communication skills with technical and non-technical stakeholders.

Strong problem-solving abilities for complex distributed systems.

Preferred, but not required:

Experience in healthcare, pharmacy benefits, insurance, or regulated industries.

Familiarity with Amazon Bedrock and prompt engineering or modern AI/ML platforms.

Experience with observability tools (logging, metrics, tracing) for microservices.

Background in performance tuning, resiliency patterns, and security best practices.

Experience with mobile application development.

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