Software Senior Engineer

India·Bangaloresenior

Software EngineerSoftware Engineering

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Overview

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,

Technical Tools

Software EngineerSoftware Engineering

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 200,000 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 Equal Opportunity Employer, committed to equal employment opportunity and equitable compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.

Envision yourself at Barracuda

We at Barracuda are at the forefront of protecting our customers from email-borne threats and data leaks. We are a passionate team of engineers building the next generation of innovative cloud connected email security appliances. We are looking for a highly skilled and passionate developer to join our cross functional Agile team.

As a Software Senior Engineer, you will have the opportunity to work on cutting-edge cloud-based email security products. You will be working closely with product managers, customers, and developers to design, develop, test, and deliver new and innovative features in a continuous delivery model. So, if you've got what it takes to excel in this role, we would like to talk to you!

Tech Stack:

Programming Expertise: Strong programming skills with expert-level proficiency in Python, TypeScript, and Java, plus intermediate experience in Golang and similar languages.

Machine Learning: Model deployment and inference, MLOps tools (MLFlow)

Cloud Platforms: AWS (primary), Azure

CI/CD & Infrastructure as Code: Terraform, GitHub Actions, CircleCI, CloudFormation

Containerization & Orchestration: Docker, Kubernetes (EKS), ECS

Monitoring & Observability: New Relic, CloudWatch, Prometheus, Grafana

Data Storage: AWS S3, DynamoDB, MySQL; and Elasticsearch

Messaging & Streaming: Kafka, AWS SQS/SNS

Caching: Redis, AWS Elasticcache

What you’ll be working on

Lead the design and implementation of software solutions on inference platform for email protection products, systems and features, with a focus on scalability, maintainability, and performance

Collaborate closely with stakeholders to understand business needs and translate them into technical requirements

Architect and integrate scalable AI-driven features for model inference leveraging LLMs, RAG systems, and evaluation frameworks

Foster cross-team collaboration to execute on complex projects across the product portfolio to ensure solutions are integrated and effective

Understand the product-wide ecosystem dependencies and integration within the portfolio and evaluates important performance monitoring metrics

Troubleshoot and resolve complex technical issues across distributed systems

Ensure system performance, scalability, and reliability through proactive optimization

Benchmark and make informed decisions when selecting appropriate, architecturally significant, third-party solutions as well as programming languages

What you bring to the role

5-7 years of experience with bachelor's or 3-5 years of experience with master's in areas such as software engineering, software development or equivalent

Proven experience in designing and implementing complex, cloud-native distributed software solutions using AWS, Python, Java, and modern DevOps practices

High standard of domain specific judgement to tackle open-ended, complex problems related to scale and performance

Excellent problem-solving and analytical skills

Demonstrated ability to lead and mentor junior engineers, enforce best practices, and conduct code reviews

Strong communication skills for cross-functional collaboration

AWS and Kubernetes certifications are a plus

Hands on Databricks experience is a plus

Hands-on experience with MLOps tools (MLFlow) for model deployment and inference is a plus.

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 to equity, in the form of non-qualifying options.