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Software Engineer- Golang

  • Source: Oracle
  • Infoblox
  • On-site
  • Bengaluru
  • Mid level

Job Description

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.

Software Engineer

We have an opportunity for a Software Engineer to join our Engineering team in Bangalore, reporting to the Senior Manager, Engineering. In this pivotal role, you will design, build, and optimize core services and data platforms that power Infoblox’s next-generation cybersecurity and networking products. Collaborating closely with Distinguished Engineers, Architects, QA, Product Security, and Customer Escalation teams, you will deliver scalable, secure, and reliable solutions that help customers stay ahead of increasingly sophisticated threats in hybrid and multi-cloud environments.

Be a Contributor — What You’ll Do

  • Design, develop, and debug backend services and data processing modules using languages such as Golang and Scala/Spark
  • Build scalable, resilient microservices and data pipelines that process high-volume security telemetry and threat intelligence in real time
  • Apply software engineering best practices across code quality, automated testing, observability, and CI/CD
  • Create clear design documents, sequence diagrams, and technical specifications for new features and platform enhancements
  • Develop comprehensive unit, integration, and performance tests, partnering with QA to ensure end-to-end quality
  • Collaborate with product architects, senior engineers, Product Security, and Customer Escalation to resolve complex technical and production issues
  • Use AI-powered engineering tools (AI code assistants, test generators, log analysis copilots) to accelerate development, improve test coverage, and speed up root-cause analysis
  • Optimize data models, queries, and caching strategies to improve performance and reduce latency across large-scale distributed systems
  • Contribute to design and code reviews, championing secure coding and privacy-by-design principles
  • Partner with Product Management, SRE, and Operations to support reliable deployments, monitoring, and continuous improvement

Be Prepared — What You Bring

  • 3–5 years of professional software engineering experience building backend or data-intensive systems, ideally in security, networking, or large-scale SaaS
  • Strong proficiency in at least one modern programming language such as Golang AND Python, with solid fundamentals in data structures, algorithms, and object-oriented or functional design
  • Practical knowledge of REST and/or gRPC services, API design, and microservices architectures
  • Exposure to containerization and orchestration (Docker, Kubernetes) and at least one major cloud platform (AWS, GCP, or Azure)
  • Familiarity with databases (SQL and/or NoSQL), caching (Redis), and messaging/streaming technologies (Kafka)
  • Curiosity and openness to using AI tools for productivity (code completion, test generation, documentation support) while maintaining engineering judgment and code quality
  • Strong problem-solving, debugging, and analytical skills, with the ability to reason about complex systems and tradeoffs
  • Effective communication and collaboration skills, with the ability to work across time zones and functions
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a relate…

Skills

  • Golang
  • Scala
  • Spark
  • Python
  • gRPC
  • Docker
  • Kubernetes
  • amazon-web-services
  • google-cloud-platform
  • microsoft-azure
  • Redis
  • Kafka
  • blox
  • thrive
  • oracle-recruiting-cloud
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