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.
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 advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on 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.
As a Software Engineer II on this team, you will help build and maintain customer-facing application features, APIs, backend services, and data workflows. You will work closely with product managers, designers, security researchers, data scientists, and other engineers to deliver reliable, maintainable software that helps simplify security for our customers.
Responsibilities
- Translate product requirements into well-designed, maintainable software with guidance from senior engineers.
- Collaborate with Product Management, UX, Security Research, Data Science, and other engineering teams to build customer-facing security features.
- Design, develop, test, deploy, and maintain application features across APIs, backend services, databases, and UI components.
- Participate in technical design discussions and contribute to implementation plans within established architecture.
- Write clear, tested, and documented code.
- Participate actively in code reviews by giving and receiving constructive feedback.
- Debug issues, improve reliability, and help monitor production services.
- Work with relational and non-relational databases to support application data flows.
- Engage actively in team discussions by contributing ideas, asking questions, and helping improve team practices.
Requirements
- 2+ years of professional software engineering experience.
- 1+ year of Python development experience, or strong experience with another backend language and interest in working with Python.
- Experience building or maintaining REST APIs.
- Experience working with relational databases such as PostgreSQL, MySQL, or MariaDB.
- Familiarity with cloud-based application development using AWS, Azure, or GCP.
- Experience with automated testing, debugging, and documentation.
- Familiarity with CI/CD pipelines and modern development workflows.
- Understanding of software design principles and maintainable application development.
- Comfortable working in Unix/Linux environments.
- Strong communication and collaboration skills.
- Curious, self-motivated, and comfortable learning from feedback and code review.
Preferred
- Experience with Python web or asynchronous frameworks such as Django, Flask, FastAPI, or Celery.
- Familiarity with OpenAPI, Swagger, or REST API contract design.
- Familiarity with containers or Kubernetes.
- Exposure to authentication and authorization concepts such as OAuth, OIDC, IAM, or SAML.
- Experience with backend-heavy full-stack development.
- Familiarity with SQL query tuning or performance optimization.
- Exposure to Infrastructure as Code tools such as Terraform, CloudFormation, or similar.
- Familiarity with LLM-assisted engineering tools such as Codex, Claude, OpenCode, or Cursor for workflows like code exploration, debugging, test generation, documentation, and implementation support.
- Interest in analytical, OLAP, or Lakehouse databases such as Snowflake, Delta Lake, Iceberg, or BigLake.
Education
BS or MS in Computer Science, Engineering, or equivalent experience.
Note
Candidates selected for final-round interviews should expect to participate in an onsite interview at a Vectra office. Scheduling and logistics will be coordinated in advance.
Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program.
Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Skills Required
- 2+ years of professional software engineering experience.
- 1+ year of Python development experience or strong experience with another backend language and interest in working with Python.
- Experience building or maintaining REST APIs.
- Experience working with relational databases such as PostgreSQL, MySQL, or MariaDB.
- Familiarity with cloud-based application development using AWS, Azure, or GCP.
- Experience with automated testing, debugging, and documentation.
- Familiarity with CI/CD pipelines and modern development workflows.
- Understanding of software design principles and maintainable application development.
- Comfortable working in Unix/Linux environments.
- Strong communication and collaboration skills.
- Curious, self-motivated, and comfortable learning from feedback and code review.
- BS or MS in Computer Science, Engineering, or equivalent experience.
- Experience with Python web or asynchronous frameworks such as Django, Flask, FastAPI, or Celery.
- Familiarity with OpenAPI, Swagger, or REST API contract design.
- Familiarity with containers or Kubernetes.
- Exposure to authentication and authorization concepts such as OAuth, OIDC, IAM, or SAML.
- Experience with backend-heavy full-stack development.
- Familiarity with SQL query tuning or performance optimization.
- Exposure to Infrastructure as Code tools such as Terraform or CloudFormation.
- Familiarity with LLM-assisted engineering tools such as Codex, Claude, OpenCode, or Cursor.
- Interest in analytical, OLAP, or Lakehouse databases such as Snowflake, Delta Lake, Iceberg, or BigLake.
What We Do
Vectra® is the leader in threat detection and response – from cloud and data center workloads to user and IoT devices. Its Cognito® platform accelerates threat detection and investigation using AI to enrich network metadata it collects and stores with the right context to detect, hunt and investigate known and unknown threats in real time. Vectra offers four applications on the Cognito platform to address high-priority use cases. Cognito Stream™ sends security-enriched metadata to data lakes and SIEMs. Cognito Recall™ is a cloud-based application to store and investigate threats in enriched metadata. Cognito Detect™ uses AI to reveal and prioritize hidden and unknown attackers at speed. And Cognito Detect for Office 365 and Azure AD™ finds and stops attacks in enterprise SaaS applications and the Microsoft 365 ecosystem. For more information, visit vectra.ai.
