Associate Software Engineer

Infoblox

1d•Remote

About The Position

At Infoblox, every breakthrough begins with a bold “what if.” What if your ideas could ignite global innovation? What if your curiosity could redefine the future? We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it’s like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect 70% of the Fortune 500 , and we’re looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold “what if” can take the world, your community, and your career. How we empower our people is extraordinary: we’re recognized as a Glassdoor Best Place to Work 2025, Great Place to Work-Certified in five countries, and honored by Cigna as a Healthy Workforce honors for three consecutive years; and what we build is world class: named CybersecAsia’s Best in Critical Infrastructure 2024 — clear evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from you? Become the force that turns every “what if” into “what’s next.” In a world where you can be anything, Be Infoblox. Associate Software Engineer We have an opportunity for an Associate Software Engineer to join our Cybersecurity Product Engineering team in Brazil , reporting to the Engineering Manager . In this role, you will support the development, maintenance, and expansion of Infoblox’s core platform and cybersecurity product suite. You will build backend services and APIs that help power Cyber Threat Intelligence, Dark Web Monitoring, and External Attack Surface Management capabilities. Collaborating closely with software engineers, product managers, quality engineers, and security professionals, you will contribute to reliable, secure, and scalable solutions in an agile environment. You will also use approved AI-assisted development tools to improve productivity, test coverage, troubleshooting, and technical documentation while applying sound engineering judgment and maintaining responsibility for the quality and security of your work.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field, or equivalent practical experience
Internship, academic, or professional experience developing backend software or cloud applications
Foundational proficiency in at least one backend language such as Python, Go, Java, or Node.js
Basic to intermediate knowledge of relational or NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or Elasticsearch
Understanding of REST APIs, HTTP, JSON, microservices, and common software development practices
Experience with Git, pull requests, feature branches, and collaborative code review workflows
Experience writing or maintaining automated unit and integration tests
Familiarity with cloud services, containers, CI/CD pipelines, or distributed systems
Awareness of secure software development principles and common application security risks
Curiosity about AI-assisted software development, prompt quality, output validation, data privacy, and responsible use of AI tools

Responsibilities

Develop, test, and maintain backend microservices and RESTful APIs under senior technical guidance
Support features across Cyber Threat Intelligence, Dark Web Monitoring, and External Attack Surface Management product lines
Implement data-processing components that ingest, normalize, enrich, and deliver threat intelligence at scale
Write clean, readable, testable, and maintainable code using established engineering standards
Create and maintain unit and integration tests using frameworks such as PyTest, Jest, JUnit, or equivalent
Investigate, debug, and resolve software defects and contribute to performance improvements
Participate in peer code reviews, technical discussions, sprint planning, stand-ups, and retrospectives
Apply secure coding practices to authentication, authorization, input validation, secrets management, and data protection
Use approved AI coding assistants and developer tools for implementation, test generation, code explanation, and documentation while validating all generated output
Monitor service behavior and contribute to operational readiness through logging, metrics, alerting, and runbook improvements