Software Engineer I
Req ID: 26-484
Come Join Our Passionate Team! At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks, data and applications with innovative solutions that grow and adapt with our customers’ journey. More than 220,000 organizations worldwide trust Barracuda to protect them — in ways they may not even know they are at risk — so they can focus on taking their business to the next level.
We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an employer that complies with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.
Envision yourself at Barracuda
Barracuda’s Application Security team builds our Web Application Firewall (WAF) and WAF-as-a-Service product lines, protecting against the latest web application threats such as API attacks, bots, and client-side attacks. Our WAF product includes a high performance demanding deep packet inspection engine with reverse proxy architecture, interacting with our Active Threat Intelligence (ATI) cloud, which uses Machine Learning and Big Data to identify bots and other threats to our customers’ applications.
Our customers range from top-5 global banks and oil companies to small businesses who lack IT expertise – therefore, a key focus of our engineering efforts is using automation and Machine Learning to help our customers detect threats and tune their configuration for maximum security.
We are looking for a highly skilled and passionate Software Engineer to join our data path and cloud intelligence team.
Tech Stack:
- Strong practical Linux skills
- Proficiency in C, C++, Python programming and scripting languages
- Familiarity in working with multithreaded, asynchronous programming
- Good understanding of building large codebases on various platforms with good understanding of compilers, linkers, loaders.
- Excellent problem solving and analytical skills, exposure to AI tools like Claude / CoPilot
- Familiar with inline debugging using tools like GDB in real time environments.
- Domain knowledge of Firewalls, HTTP and SSL protocols, WAFs, Web applications or any network/cloud security products is a plus.
- Understanding of cloud technologies and platforms, knowledge of working with Dockers and containers is a plus
What you’ll be working on:
- Complex Incident Resolution: Independently work on troubleshooting the most technically demanding or "politically hot" customer escalations, ensuring minimal business impact.
- Engineering Interface: Act as a key technical link to engineering and customer support, providing detailed issue documentation and prioritizing bug reports for product improvements.
- Deep-Dive Analysis: Use advanced debugging tools, Gen AI / ML capabilities, API flow analysis, and protocol analyzers (e.g., Wireshark, tcpdump) to perform root cause analysis of sophisticated attacks or product failures.
- Research of efficient security solutions, Design and Development of new features/enhancements towards securing web-based applications. Troubleshoot, fix, and test product issues to resolve complex problems.
- Deploy security solutions using the latest technologies on the data management pipelines and databases on preferably Azure platforms, and Azure Databricks modules used to deploy our Active Threat Intelligence.
- Understand performance and security implications of how the design/code impacts the product
What you bring to the role:
- B tech or master’s in computer science or related fields.
- 1+ years of relevant experience
- Hands on experience with efficient Data Structures and Algorithms
- Solid proficiency in C / C++ / Python and associated STLs/packages/libraries
- Self-motivated, quick learner, excellent analytical skills and able to design and implement solutions individually
- Basic knowledge of HTTP(s), various Web based standards, TCP/IP protocols, and networking is a must.
- A good understanding and practical applications of AI/ML tools and models is preferred.
- Knowledge of SDLC and Agile practices, including coding standards, code reviews, source control management etc.