Software Senior Engineer

Barracuda Networks; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Internal mobility opportunities

Equity options

Job summary

Barracuda Networks is seeking a Software Senior Engineer in Bengaluru, Karnataka. This role involves designing and developing new features for the XDR customer-facing app and mentoring other software engineers. The team is pivotal to our growth in the cybersecurity domain.

The ideal candidate will have over 5 years of software engineering experience and expertise in Node.js and React.js, alongside a strong drive for product improvement. Join us to impact an evolving tech landscape!

Qualifications

• 5+ years of experience in a full-time software engineering role.
• Excellent communicator, both within your team and across teams.
• Interest in leading projects through every stage.
• A drive to constantly improve our products.

Responsibilities

• Design and develop new product features.
• Troubleshoot and fix problems in our apps.
• Provide guidance and mentoring for other team members.
• Work in a 24x7 commercial b2b SaaS environment.

Skills

Node.js

React.js

Communication

Problem-solving

Team collaboration

Education

Bachelor's/Master's degree in computer science or related field

Tools

Elasticsearch

MongoDB

AWS

Job description

Barracuda Networks provides comprehensive cybersecurity solutions to protect email, data, applications, and networks. Our managed XDR services help safeguard organizations from complex threats.

Barracuda Networks complies with all applicable national, state, and local laws pertaining to non-discrimination and equal opportunity.

Software Senior Engineer

Barracuda’s XDR Engineering team is looking for a Software Senior Engineer to join the organization. The team builds the XDR customer-facing app, plus many integrations, services, and pipelines that power the product. Our product and team are rapidly growing; you will help shape and influence that growth (team processes & culture, app architecture, etc.) while building out product depth & breadth. No prior cybersecurity knowledge is needed—but you will learn a lot about this hot topic while working here with us!

What you'll be working on

• Design and develop new product features.
• Troubleshoot and fix problems in our apps and operation.
• Provide guidance and mentoring for other members of the software engineering team.
• 24x7 commercial b2b SaaS with high growth rate.
• Cybersecurity domain.

What you bring to the role

• 5+ years of experience in a full-time software engineering role.
• Excellent communicator, both within your team and across teams/disciplines.
• Interest in leading projects through every stage, from initial idea to final delivery.
• A drive to constantly improve our products and our processes.
• 1+ years of experience with Node.js.
• 1+ years of experience with React.js.
• Experience with agentic AI development preferred.
• Experience with document databases such as Elasticsearch or MongoDB preferred.
• Experience with AWS preferred.
• Experience working with large streams of data preferred.

What you'll get from us

A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda. In addition, you will receive equity, in the form of non-qualifying options.

Senior Data Engineer

The Senior Data Engineer is responsible for designing, building, and managing advanced ETL pipelines and scalable data architectures to handle large datasets and complex integrations. This role involves optimizing performance of data lakes and warehouses, overseeing data integration, and enforcing data security policies. The Senior Data Engineer creates detailed documentation, influences project outcomes, and applies specialized engineering knowledge to various issues. The role entails effective cross-functional collaboration to drive operational improvements and meet team goals.

Responsibilities

• Design, build, and manage advanced ETL pipelines and data workflows, ensuring scalability and efficiency for large datasets and complex integrations.
• Implement performance improvements and optimizations for SQL and NoSQL databases, including query tuning, schema design, and indexing strategies.
• Develop and maintain scalable data architectures and data warehousing solutions, leveraging cloud technologies and big data platforms.
• Oversee the integration and transformation of data from multiple sources, ensuring consistency and accuracy across different data platforms.
• Design and enforce data security policies and practices, including encryption, access controls, and compliance with data protection regulations.
• Create and maintain comprehensive documentation for data architectures, pipelines, and processes, and prepare reports on data engineering activities and performance metrics.
• Cultivate effective relationships with internal/external partners and provide influence over projects and peer groups, demonstrating full understanding of area of specialization.
• Work under limited supervision and broad guidelines, regularly applying independent judgement on moderately complex matters.
• Leverage specialized engineering knowledge in breadth and/or depth to a variety of projects within the team and work independently on several work areas within an engineering project.
• Work in a project-oriented manner contributing towards team-level goals and suggest improvements to operational processes that influence team's delivery.

Education

Bachelor's/Master's degree in computer science, engineering, mathematics or equivalent.

Experience

5‑8 years of experience in data engineering, including designing and optimizing complex ETL pipelines and data processing workflows or equivalent.

Certifications (preferred)

• AWS Certified Data Analytics – Specialty or equivalent certification in cloud data services.
• Google Cloud Professional Data Engineer or equivalent certification.

Technical/Functional Skills

• Programming Languages
• Data Integration
• Cloud-based Data Platforms
• Data Architecture
• Big Data Technologies
• Data Pipeline Development
• Cloud Computing
• Infrastructure as Code (IaC) tools
• Data Warehousing
• Data Ingestion Tools
• Performance Tuning and Optimization