Position Overview

At Vectra, our mission is to make the internet a safer and fairer place for everyone. Our AI Platform helps organizations find the things that matter and protect themselves and their clients - people like you and me - from cybersecurity attacks. We deal with some of the largest and most challenging environments across a broad set of industries - healthcare, finance, media, entertainment, retail, etc.

We're looking for a talented and hands-on Senior Platform Engineer to help drive the technical vision and delivery of features in our Application Data Platform. Our Application Data Platform is designed to offer both our internal developers as well as our customers a world class developer experience empowering engineering teams and customers alike to build the features that matter most. The platform must support both analytical and operational use cases and presents interesting challenges across a variety of areas - data modeling, performance, scalability, etc.

You will work closely with Application Data Platform leadership to build and deliver our technical roadmap. On any given day you could be writing a design document that outlines how you plan to solve a particular problem we're working on, working to deliver some of the most challenging and high-leverage parts of the platform, fixing bugs or optimizing code to deliver higher performance or better overall utilization, or mentoring other engineers within the organization.

Responsibilities

To be able to work on high-impact software projects for Data Platform, you will need to:

• Be comfortable designing production-grade pipelines and systems
• Be comfortable writing and deploying production-grade code on a daily basis
• Contribute to automated tests and other parts of end-to-end software delivery
• Work collaboratively with other teams and within the team with other engineers and product managers
• Mentor and lead by example more junior engineers, breaking up tasks for them while leading end-to-end projects
• Evaluate and identify the correct approaches or technologies to use to solve problems
• Participate in a rotating on-call schedule, handling production deployments and monitoring production systems

Qualifications

• Required
• Bachelor of Science or Master of Science in Computer Science or similar or equivalent work experience
• 2+ years of experience as a Senior Engineer owning data production platforms
• Strong applied software development experience; you've built, shipped, monitored, broken, and fixed software applications
• Experience with real time or near real time data processing, databases and data management
• Experience with an object oriented programming language (Python preferred)
• Strong fundamentals with data structures and algorithms
• Proficiency in Unix/Linux environments
• Experience with a source control system (git preferred)
• Experience with containerization or virtualization systems (Docker preferred)
• Experience with Kubernetes
• Experience with Cloud Providers (AWS preferred)
• Debugging experience
• Desirable
• Knowledge of networking, operating systems, security fundamentals
• Experience with a commonly-used observability tool such as Grafana or Prometheus
• Experience with Rust
• Experience as technical lead for a production-grade data pipeline
• Experience as a mentor to junior engineers

Position Overview

Be on the leading edge of applying machine learning and data modeling to the world of advanced cyber security. As part of the Data Science team you will directly impact the product by modeling complex problems and developing production software. You will develop these models and algorithms in collaboration with Security Researchers, who are experts in cyber security attack techniques. This work provides the core detection capability for our customers.

Responsibilities

• Leverage large datasets to develop machine-learning and statistical models that can differentiate between normal and attack behavior.
• Own the prototyping, development, and testing of complex detection algorithms that implement these models and provide customers with real-time visibility.
• Analyze detection algorithm performance and present key findings to business leaders.
• Collaborate with Security Research, Data Engineering, and Software Engineering teammates.

Required Experience

• MS + 2 years of Data Science experience or PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience)
• Hands-on experience with machine-learning and statistical techniques
• Strong experience with Python and object-oriented programming
• Ability to work with datasets using SQL or other libraries (pandas, numpy, etc.)
• Familiarity with data structures and algorithms
• Linux and Git proficiency

Desirable Qualifications

• Familiarity with Spark or other distributed computing systems
• Experience with cloud computing platforms (AWS, Azure, GCP, etc.)
• Database experience (SQL or NoSQL variants)
• Experience working in a software development team
• Programming experience in C++, Scala/Java, Go, or other languages

The Role 

We are looking for a Staff Software Engineer to join our Fusion engineering team, focused on building systems that ingest, process, and analyze network cloud telemetry such as flow and DNS logs. 

This is a high-impact, hands-on technical leadership role. You will design and scale distributed systems that power real-time detection, while influencing architecture, standards, and engineering practices across teams. 

What You’ll Do 

• Design and build scalable backend systems using Go and Python  

• Develop and evolve high-throughput data pipelines for network flow and DNS telemetry  

• Architect systems for real-time and near real-time data processing  

• Improve performance, scalability, and cost efficiency of platform services  

• Lead design and code reviews, setting a high bar for engineering quality  

• Drive cross-team architecture and platform alignment  

• Partner with product and detection teams to deliver shared platform capabilities  

• Mentor engineers and contribute to a culture of technical excellence and ownership  

What We’re Looking For 

• 8+ years of experience building distributed systems at scale  

• Strong proficiency in Go (Golang) and experience with Python  

• Experience with streaming or data-intensive systems (e.g., Kafka, Kinesis, Flink)  

• Solid understanding of network telemetry (e.g., flow logs, DNS)  

• Experience with cloud platforms (AWS preferred)  

• Strong background in systems design, performance, and reliability  

• Proven ability to lead technical initiatives across teams  

Nice to have: 

• Background in cybersecurity or network detection  

• Experience with real-time analytics systems  

• Expertise in data warehousing technologies (e.g., Elasticsearch, Hadoop, Druid)  

Why Join Vectra 

• Work on high-scale, real-time systems solving complex security challenges  

• Help build a platform that processes massive volumes of network data  

• Collaborate with experienced engineers in a high-impact environment  

• Contribute to technology that directly improves customer security outcomes 

Position Overview

DevOps Engineers are critical when it comes to keeping both our customers and engineering team running. As part of the DevOps group you will work on products critical to our operations and software that proactively detects issues with systems in the data center, in the cloud, or at customer sites.

Responsibilities

DevOps Engineers will have a variety of responsibilities which may include things like:

• Design and implement pipelines and tools to ensure continuous integration, delivery, and deployment for our products
• Define and implement tools that enable other teams to follow DevOps best practices
• Own and deliver a suite of platform services consumed by internal stakeholders across teams and functions
• Work on cloud environments ensuring reliability and availability
• Ensure production deployments are fast, reliable, and safe
• Work with geo-distributed development teams to improve quality and time-to deploy
• Automate, Automate, Automate

Qualifications

• Required
  • Relevant Bachelor's degree (Computer Science, Engineering, etc.)
  • 1-2 years hands-on DevOps/SRE experience 
  • Belief in DevOps and Agile principles
  • Zealous about automation
  • Comfort in dealing with Cloud deployments, networking, and security best practices
  • CI/CD pipeline experience (GitHub Actions, Jenkins, etc.)
  • Hands on experience on Amazon Web Services (AWS)
  • Hands on experience with Kubernetes
  • Linux system proficiency
• Preferred
  • Strong container/serverless experience
  • Proficient knowledge of Python language
  • Experience on Hashicorp ecosystem - Terraform, Packer, Consul, Vault
  • Experience with telemetry tools/pipelines (metrics, logs, and traces)
  • Experience with RDS databases

Position Overview
Vectra is looking for an Manager of Audit & Compliance to plan and execute internal audits of the company’s IT processes, systems, and controls, helping ensure effective risk management and regulatory compliance. The position reports directly to the Sr. Director of IT Security and can be based in Austin, Boston, or Remote US.

Responsibilities

• Audit Planning & Execution: Develop and carry out a risk-based internal audit plan for IT operations, security controls, and compliance processes. Conduct audits from planning through reporting, evaluating the effectiveness of IT controls, policies, and procedures.

• Risk Identification & Remediation: Identify control gaps and IT-related risks during audits and recommend actionable improvements. Prepare clear audit findings reports and work with stakeholders on remediation plans. Track audit findings and drive remediation efforts to closure with accountable owners.

• Cross-Functional Collaboration: Work closely with IT, Security, Engineering, and other teams to gather evidence and facilitate audit processes. Serve as a liaison with external auditors and internal teams for any audit inquiries or compliance assessments. Ensure security controls and processes are well documented and demonstrated during audits.

• Compliance Support: Support external compliance audits and certifications (e.g. ISO 27001, SOC 2) by providing required documentation and coordinating audit logistics. Partner with compliance and GRC functions to align internal audit activities with regulatory requirements and company policies.

• Process Improvement & Documentation: Maintain comprehensive audit workpapers and documentation repositories using a modern GRC tool in order to meet quality and retention standards. Help build audit playbooks and improve audit workflows (e.g. automating evidence collection) to increase efficiency. Stay up-to-date on industry best practices and emerging regulations to continually enhance the IT audit program.

Qualifications

• Education & Certification: University degree in Information Systems, Computer Science, MIS, or a related field. Professional certification such as CISA (Certified Information Systems Auditor) or CIA is strongly preferred.

• Experience: 5+ years of experience in IT auditing, IT risk, or related compliance fields. Demonstrated experience leading or executing multiple IT audits end-to-end, including working with external or third-party auditors. Experience in a high-growth or technology-driven environment is a plus.

• Technical Knowledge: Strong understanding of IT governance, security, and compliance frameworks – e.g. ISO 27001, SOC 2, NIST 800-53, Sarbanes-Oxley (SOX), GDPR – and how they apply to enterprise environments. Familiarity with cloud platforms and enterprise IT controls (AWS, Azure, O365, etc.) and with IT general controls and processes.

• Tools: Experience with GRC or audit management tools (e.g. AuditBoard, Drata, Vanta) is a plus for streamlining compliance evidence and audit tracking.

• Soft Skills: Excellent communication skills, with the ability to clearly report findings and recommendations to both technical and non-technical stakeholders. Strong organizational and project management skills to handle multiple audits simultaneously. A collaborative, integrity-driven approach and a problem-solving mindset are essential.

Position Overview

Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.

The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.

Our Engineering organization is a fast-growing team of collaborative, technically strong, and passionate problem solvers. We value creativity, ownership, and the drive to build meaningful technology that solves real-world security challenges. Every engineer has the opportunity to make a measurable impact—on the product, the company, and our culture. We believe in using the right tools for each problem, mentoring and learning through peer reviews, and continuously improving how we build. 

The Application Data Platform team designs, builds, and maintains data-intensive applications that power customer-facing features across REST APIs and UI components. Python is our primary language, and we take pride in delivering end-to-end solutions—from frontend and API design to backend systems and databases.

Responsibilities:

• Translate product requirements into robust, scalable, and maintainable software solutions.

• Collaborate with Product Management, UX, Security Research, and Data Science teams to simplify security for our customers.

• Provide technical leadership—mentoring, code reviews, and architectural guidance.

• Design, develop, test, deploy, and maintain software in production environments.

• Own quality, reliability, and performance across the stack; proactively identify areas for improvement.

• Work with relational and non-relational databases to enable seamless data flow.

• Engage actively in team discussions—contributing ideas, asking questions, and driving continuous improvement.

Requirements: 

• 5+ years of professional software engineering experience.
• 2+ years of Python development experience.
• 3+ years working with cloud providers (AWS, Azure, or GCP).
• 4+ years of database experience, including relational systems (MariaDB, PostgreSQL, MySQL, etc.).
• Experience designing REST API contracts (OpenAPI, Swagger, etc.).
• Skilled in debugging, performance profiling, automated testing, and documentation.
• Hands-on experience with CI/CD pipelines and deployment automation.
• Strong understanding of software design principles and modern development practices for data-intensive systems.
• Familiarity with containers and Kubernetes.
• Proficiency with Unix/Linux environments.
• Excellent communication and collaboration skills.
• Self-motivated and proactive; able to take initiative and challenge assumptions constructively.

Preferred: 

• Experience with Python web and asynchronous frameworks (Django, Flask, Celery, FastAPI).
• Knowledge of authentication and authorization standards (OAuth, OIDC, IAM, SAML).
• Experience with full-stack development, particularly backend-heavy applications.
• Strong SQL tuning and performance optimization skills.
• Experience with Infrastructure as Code (Terraform, Terragrunt, CloudFormation, Troposphere).
• Familiarity with analytical (OLAP) and Lakehouse databases (Delta Lake, Iceberg, Snowflake, BigLake, etc.).

Education: 

• BS or MS in Computer Science/Engineering (or equivalent experience)