Senior Software Engineer

About the Role

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. Organizations worldwide rely on Vectra AI to move at the speed and scale of hybrid attackers. Our Engineering organization is a fast-growing team of collaborative, technically strong, and passionate problem solvers. We value ownership, pragmatic technical judgment, and the drive to build meaningful technology that solves real-world security challenges.

The Application Data Platform team designs, builds, and operates data-intensive services and customer-facing capabilities across APIs, backend systems, and UI experiences. Python is a primary language, and we build end-to-end solutions spanning API design, distributed services, databases, and cloud infrastructure. As a Senior Software Engineer, you will help evolve our REST API platform to support secure, reliable, and scalable interactions with AI agents and Model Context Protocol (MCP) clients and servers.

Responsibilities

• Lead the design and implementation of scalable REST APIs and backend services that support customer-facing security workflows and MCP-enabled integrations.
• Define API contracts, data-access patterns, authentication and authorization approaches, and lifecycle/versioning strategies for platform services.
• Design how MCP clients and servers securely interact with REST APIs, tools, and Vectra data sources.
• Build reliable, observable, and high-performance services for AI-assisted and agentic product experiences.
• Work with product managers, security researchers, data scientists, UX, and partner engineering teams to turn ambiguous requirements into durable technical solutions.
• Make sound architecture decisions across APIs, asynchronous workloads, databases, caching, and cloud services.
• Improve platform reliability through instrumentation, monitoring, incident analysis, capacity planning, and performance optimization.
• Establish engineering standards through design reviews, code reviews, documentation, and technical mentorship.
• Guide less-experienced engineers and contribute to a culture of strong ownership, learning, and constructive feedback.
• Partner with security teams to ensure APIs and AI integrations follow secure-by-default practices for identity, access control, data handling, and auditability.

Requirements

• 6+ years of professional software engineering experience, with substantial backend or platform engineering experience.
• Strong Python experience, or deep experience in another backend language with the ability to work effectively in Python.
• Proven experience designing, building, and operating production REST APIs at scale.
• Experience designing API contracts using OpenAPI/Swagger or comparable specification-driven approaches.
• Experience integrating AI applications, agents, or tools with REST APIs and enterprise data sources.
• Hands-on familiarity with the Model Context Protocol (MCP), including designing MCP servers/tools or integrating MCP clients with REST APIs and data services.
• Experience with AWS cloud services; practical experience with Amazon Bedrock is strongly preferred.
• Experience with relational databases such as PostgreSQL, MySQL, or MariaDB, including schema design and query-performance considerations.
• Experience with distributed systems concerns such as asynchronous processing, retries, idempotency, rate limiting, caching, and graceful failure handling.
• Experience with automated testing, CI/CD, production debugging, and service observability.
• Strong understanding of authentication, authorization, and secure API design, including OAuth, OIDC, IAM, token handling, and least-privilege access.
• Comfortable working in Unix/Linux environments.
• Strong written and verbal communication skills, including the ability to explain technical tradeoffs to varied audiences.

Preferred Qualifications

• Experience deploying and operating workloads on Kubernetes or containerized platforms.
• Experience with FastAPI, Django, Flask, Celery, or other Python web and asynchronous frameworks.
• Experience building production applications using Amazon Bedrock, including model invocation, guardrails, knowledge retrieval, or agent capabilities.
• Experience with backend-heavy full-stack development, including building intuitive UI components and workflows that consume REST APIs and support AI-assisted or agent-driven experiences.
• Familiarity with LLM application frameworks such as LangChain, LangGraph, or similar orchestration/tooling frameworks.
• Familiarity with modern frontend technologies such as React, TypeScript, and component-based UI development.
• Familiarity with retrieval-augmented generation, embeddings, vector search, and secure data-retrieval patterns.
• Experience with event-driven architectures, queues, streams, or workflow orchestration.
• Experience with Infrastructure as Code, such as Terraform or CloudFormation.
• Familiarity with analytical, OLAP, or lakehouse technologies such as Snowflake, Delta Lake, Iceberg, or BigLake.
• Experience in cybersecurity, enterprise SaaS, or other security-sensitive domains.
• Familiarity with LLM-assisted engineering tools such as Codex, Claude, OpenCode, or Cursor.

Education

BS or MS in Computer Science, Engineering, or equivalent practical experience.

Additional Information

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.

Our competitive total rewards package includes cash compensation within the range of $150,000 - $190,000 USD. Actual pay for this position may vary based on the hired candidate’s location, experience, and relevant incumbent pay position. Vectra provides a comprehensive total rewards package that supports the financial, physical, mental, and overall health of our employees and their families.