Data Engineer

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.

Data Engineer

We have an opportunity for a Data Engineer to join our SaaS Ecosystem Engineering – Data Engineering team in Bangalore, reporting to the Manager, Engineering. In this pivotal role, you will help build and scale our cloud-native data lake and analytics platform that powers threat intelligence, product analytics, and AI-driven experiences across Infoblox. Collaborating closely with data scientists, threat analysts, product managers, and software engineers, you will design and operate high-performance data pipelines and storage solutions using technologies such as ClickHouse, OpenSearch, and Spark, while leveraging modern AI-assisted engineering tools to increase productivity and quality. 

Be a Contributor — What You’ll Do

• Curate large-scale data from a multitude of sources into high-quality datasets for data scientists, threat analysts, and developers across the company
• Design, test, and implement scalable storage and warehousing solutions for diverse consumers, especially data warehouses like ClickHouse and OpenSearch
• Design and implement mechanisms to monitor data sources over time using summarization, observability, and statistical methods
• Design, develop, and maintain scalable, secure APIs that enable high-throughput data integration and retrieval for internal and external applications
• Build, optimize, and operate batch and streaming data pipelines using Spark, Kafka, and Pub/Sub to support analytics and product workloads
• Leverage computer science algorithms and probabilistic data structures to distill large data into insight-rich representations that enable analytics and AI use cases
• Convert prototypes into production data engineering solutions through disciplined software engineering, Spark optimizations, and modern CI/CD pipelines
• Support data scientists and Product teams in building, debugging, and deploying Spark applications that best leverage the Data Lake
• Build and maintain tools for automation, deployment, monitoring, data validation, and operations of pipelines and storage systems
• Use AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to accelerate coding, testing, documentation, and troubleshooting with sound engineering judgment

Be Prepared — What You Bring

• 4+ years of experience in software development or data engineering, with programming language Golang
• Expertise in data engineering – MapReduce, Spark Streaming, Kafka, Pub-Sub, and in-memory databases
• Experience with search/analytics technologies such as OpenSearch or ElasticSearch
• Experience with data lake and warehousing technologies such as ClickHouse
• Good exposure to application performance tuning, memory management, and scalability
• Ability to design highly scalable distributed systems using different open-source technologies
• Exposure to AI-assisted software development tools (e.g., GitHub Copilot, Claude, ChatGPT) and the ability to leverage them to improve developer productivity, code quality, and engineering efficiency
• Experience in microservices development and container-based software using Docker/Kubernetes is a plus; experience with AWS, GCP, or Azure is a plus
• Experience building high-performance algorithms
• Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering is required; Master’s degree preferred

Be Successful — Your Path

First 90 Days: Immerse in our culture, connect with mentors (Blox Buddies), and map the systems and meet with key stakeholders that rely on your work. Discuss and create short/long term goals

Six Months:

• Complete onboarding by demonstrating knowledge of the Data Lake and associated technologies and CI/CD processes by deploying ETL pipelines for curation and warehousing to production
• Complete rotations on support/duty and gain experience with the different systems, tools, and processes in the Data Lake by resolving reported issues
• Contribute to the team’s velocity by participating in Scrum and driving stories to completion

One Year:

• Be an expert on the Data Lake target state architecture and drive engineering design and grooming sessions for new feature development
• Apply coding best practices and provide in-depth reviews on the team’s pull requests
• Be a thought leader in one or more domains of the Data Lake, driving development and mentoring teammates in this domain

Belong — Your Community

Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you’ll grow and belong here.

Be Rewarded — Benefits That Help You Grow, Thrive, Belong

• Comprehensive health coverage, generous PTO, and flexible work options
• Learning opportunities, career-mobility programs, and leadership workshops
• Sixteen paid volunteer hours each year, global employee resource groups, and a “No Jerks” policy that keeps collaboration healthy
• Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations
• Charitable Giving Program supported by Company Match
• We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications

Ready to Be the Difference?

Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis 

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