Lead Software Engineer

Turtle Trax S.A.; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Turtle Trax S.A. seeks a Lead Software Engineer to design, build and optimise backend services in Java and Python, while delivering modern React UIs for enterprise applications.

You will architect cloud-native solutions on AWS/Azure, implement APIs, and leverage AI tooling to boost developer productivity. Remote work option with strong security and governance expectations.

Qualifications

• Strong hands-on programming experience in Java and Python; design, build, test and optimise production-grade backend services.
• Strong experience with React for enterprise interfaces with modern UX patterns.
• Experience with Next.js or modern front-end architectures alongside React.
• Deep experience building cloud-native apps using containers, Kubernetes, microservices and managed cloud services in AWS and/or Azure.
• Expertise in API design: RESTful services, contracts, versioning, security and integration patterns.

Skills

Java

Python

React

Next.js

AWS

Azure

Kubernetes

Microservices

REST APIs

Event-driven

AI tools

Code quality

Observability

CI/CD

Infrastructure as code

Security/compliance

Mentoring

Kafka

API gateway

Service mesh

Tools

Docker

Kubernetes

Terraform

Jenkins

AWS/Azure tools

Job description

Lead Software Engineer

• Must-Have Strong hands-on programming expertise in Java and Python, with the ability to design, build, test, and optimise production‑grade backend services
• Strong experience with React for building modern, responsive, and intuitive user interfaces for enterprise applications
• Experience with Next.js or modern front-end architecture patterns alongside React
• Deep experience building cloud-native applications using containers, Kubernetes, microservices, and managed cloud services in AWS and/or Azure
• Strong expertise in designing and building APIs, including RESTful services, service contracts, versioning, security, and integration patterns
• Proven experience with event-driven architecture, asynchronous messaging, streaming, and resilient distributed system design
• Practical experience using AI tools to improve engineering productivity across coding, testing, debugging, documentation, and release workflows
• Strong understanding of software engineering quality metrics such as code quality, test automation, reliability, performance, observability, and maintainability
• Good to Have Experience building agentic applications or AI-powered systems using LLMs, orchestration frameworks, retrieval, tool calling, and workflow automation
• Experience with API gateway, service mesh, and enterprise integration patterns
• Experience with Kafka, event streaming platforms, or large-scale messaging ecosystems
• Exposure to CI/CD automation, infrastructure as code, and release engineering practices
• Experience in regulated enterprise environments where security, governance, compliance, and auditability are critical
• Ability to mentor engineers and influence architecture, engineering standards, and developer productivity at team level

Remote

ADVANCED ENGLISH