Top Tech Jobs & Startup Jobs

Own and operate CI/CD and QA platforms across infrastructure, CI runners, build environments, and developer tooling. Improve reliability, scalability, cost, automation, observability, and self-service capabilities. Manage Kubernetes, Linux systems, infrastructure as code, GitLab CI, monitoring, incidents, documentation, and architecture contributions. Review infrastructure changes, deploy services, support engineers, and use AI assistants to accelerate platform work.

Own and grow named enterprise accounts across North America, managing complex sales cycles from discovery through technical validation, negotiation, and contract execution. Build relationships with security, infrastructure, procurement, and legal stakeholders; develop account plans; qualify opportunities using MEDDPICC; maintain accurate CRM records, forecasts, and deal progression; and expand existing accounts in partnership with account and renewal managers.

Lead major cybersecurity product components from discovery through production, combining hands-on software engineering with technical product ownership. Design scalable architectures, write and review production code, clarify requirements, define milestones, ensure reliability and security, and manage ongoing improvements. Collaborate independently with engineering, product, sales, and other stakeholders while using AI-assisted development tools throughout planning, implementation, testing, debugging, and code review.

Build and operate Python services, pipelines, command-line tools, APIs, and integrations supporting vulnerability assessment, patching, testing, and security advisory publication. Responsibilities include production debugging, Linux troubleshooting, asynchronous processing, CI/CD and deployment automation, monitoring, data modeling, code review, testing, and stakeholder collaboration. The role also requires advanced use and independent validation of AI coding agents.

Build and operate SecureChain’s automated open-source package onboarding pipeline at scale. Own Go module rebuilding, diagnose cross-environment build failures, improve Python automation, and manage Docker-based CI/CD workflows. Develop AI-agent rules and review generated work, while contributing to platform architecture and Go ecosystem onboarding. The role requires strong Linux, Git, build and release engineering skills, independent ownership, and clear English communication.

Develop and maintain Linux kernel patches for end-of-life distributions. Investigate upstream security and bug fixes, backport changes, resolve version conflicts, build reproducible kernel packages, and validate patches through testing and regression analysis. Improve automation using Python, Go, or Shell, apply AI-assisted development tools responsibly, document technical decisions, and participate in code reviews.