Staff Engineer

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OtherStaff Engineer

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Overview

Job ID: 24-482 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.

Technical Tools

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Job ID: 24-482

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 Staff Software 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:

Email Security & Messaging Protocols (Core): Deep expertise in SMTP, POP, IMAP, TLS, DKIM, SPF, DMARC, and related security standards
Email Threat Protection: Familiarity with anti-spam, anti-phishing, malware filtering, encryption, and secure email gateways
Machine Learning: Machine learning and deep learning technologies, MLOps tools (MLFlow) Model deployment and inference.
Programming Expertise: Strong programming skills with expert-level proficiency in Python, TypeScript, and Java, plus intermediate experience in Golang and similar languages.
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
Identity & Access Management: LDAP, MS AD, Okta
Operating Systems: Strong knowledge across Unix, CentOS, and related environments

What you’ll be working on

Lead the design and implementation of software solutions 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 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

8-15 years of experience with bachelor's or 6-12 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
Strong familiarity with machine learning and deep learning technologies, including model training and inference optimization. Hands-on experience with MLOps tools (MLFlow) for model deployment and inference is a plus.
Excellent problem-solving and analytical skills
Strong background in DevOps practices: CI/CD, Infrastructure as Code
Demonstrated ability to lead and mentor junior engineers, enforce best practices, and conduct code reviews
Strong communication skills for cross-functional collaboration
Demonstrated ability to integrate and optimize LLMs usage within current product ecosystems, from prototype to production is a plus.
AWS and Kubernetes certifications are a plus
Hands on Databricks experience 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.

Equity, in the form of non-qualifying options
High-quality health benefits
Retirement Plan with employer match
Career-growth opportunities
Flexible Time Off and Paid Time Off benefits
Volunteer opportunities

The anticipated base salary range for this role is $132,000 to $200,000. Actual compensation offered will be dependent upon the individual's skills, experience, and qualifications as they directly relate to the requirements of the position, the budget for the position, and applicable employment laws. At Barracuda, we believe in fair and equitable compensation practices that reflect both market realities and the unique circumstances of each geographical location. We recognize that cost-of-living disparities, market conditions, and other factors can significantly impact compensation expectations in different regions. The compensation range provided in this job description is for illustrative purposes only and may not reflect the actual compensation offers for the position in your location. Final compensation will be determined based on a variety of factors including the candidates’ qualifications and experience

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