Jobs at Nucleus Security

Provide technical support for a cybersecurity platform by responding to customer tickets, troubleshooting issues through written communication and Zoom, explaining APIs, data flows, and vulnerability management, and collaborating with engineering and product teams. The role includes improving support documentation and workflows, learning AI tools, and attending Belfast Metropolitan College one day per week as part of a Level 5 IT apprenticeship.

Contribute to production software systems supporting integrations, workflows, APIs, and internal tools. Build React frontend components, develop REST API and ETL integrations, write automated tests, debug distributed systems, and participate in code reviews and technical discussions. The internship includes mentorship, scoped engineering projects, and a final presentation of outcomes. No prior professional software engineering experience is required, though prior internship or equivalent experience is required.

Own and rapidly qualify inbound demand, converting demo requests, content leads, event follow-up, and trial interest into qualified meetings for account executives. Execute targeted ABX outbound sequences into named accounts, personalize messaging using AI tools, maintain sales processes in CRM and engagement platforms, and collaborate with marketing and AEs. Represent Nucleus at major cybersecurity events several times annually while developing strong product and buyer knowledge.

Build and launch AI-powered developer tools, including automated code review, quality gates, test generation, and codebase-aware agents. Integrate these capabilities into Slack, Git, CI/CD, IDEs, and internal platforms. Establish evaluation frameworks, guardrails, observability, and reliability standards while measuring adoption, cycle time, review load, defects, and developer satisfaction. Drive technical direction, architecture, security, governance, build-versus-buy decisions, and continuous improvement of the developer experience.

Own product strategy and roadmap for Nucleus' UI/UX platform. Prioritize customer-driven features, define metrics, gather requirements, coordinate cross-functional teams, and work with engineering to deliver analytics, frontend customization, and UX-focused B2B SaaS solutions.

Own the Federal product strategy, roadmap, goals, and go-to-market initiatives. Gather customer and stakeholder feedback, prioritize solutions, define performance metrics, coordinate cross-functional teams, and partner with engineering to deliver technical SaaS and on-premises products. The role focuses on Federal agency capabilities, GRC features, self-hosted deployment, vulnerability management, and cybersecurity-related solutions.

Maintain secure, highly available, and performant production systems across cloud and Kubernetes environments. Build and improve infrastructure, CI/CD pipelines, Infrastructure as Code, observability, monitoring, automation, and incident response processes. Use AI-assisted tools for troubleshooting, anomaly detection, root-cause analysis, and reducing operational toil. Provide technical leadership, mentor engineers, and promote reliability and continuous improvement. Applicants must reside in APAC and hold citizenship in their current country of residence.

Lead customer onboarding and implement vulnerability management solutions. Manage technical integrations, design solution architectures, coordinate stakeholders, drive adoption, and collaborate with sales and product to productize solutions.

Lead QA automation efforts across UI, API, and data layers: design and execute manual and automated tests, build and improve Selenium/Playwright frameworks, validate data with complex SQL, integrate tests into CI/CD, reduce flakiness, and mentor other QA engineers to improve overall product quality.

Design and deliver data-driven analytics features end-to-end, build and scale a security analytics platform for data ingestion and processing, collaborate with product and data teams, and quickly diagnose and resolve production issues to ensure reliability.

Own end-to-end lifecycle of data-driven analytics features; design and scale a security analytics platform for data ingestion and processing; collaborate with engineering, product, and data teams to translate ambiguous requirements into robust solutions; diagnose and resolve production issues to ensure reliability.