Senior Software Engineer

Quick Facts

• Role: Full-stack Senior Software Engineer for Quantum Central

Description

Greenfield, high-impact work building a quantum-ready platform to discover cryptographic assets, identify vulnerabilities, prioritize remediation, and manage migration to post-quantum cryptography (PQC). You will design APIs, own features end-to-end (design, implementation, testing, deployment, observability), and build RESTful cloud-native services in Go and TypeScript. The team uses AI coding agents and agentic LLM workflows as part of daily development, with a strong quality bar.

Responsibilities

• Build RESTful, highly scalable cloud-native services in Go and TypeScript

• Own features end-to-end: design, implementation, testing, deployment, and observability

• Use AI coding agents (Cursor, GitHub Copilot, Claude Code, etc.) as a native daily workflow

• Design and ship agentic AI workflows: LLM orchestration, autonomous pipelines, and AI-assisted product features where relevant

• Collaborate with engineers, product managers, and security researchers to build PQC readiness tooling

• Engage engineering leaders to implement best practices and drive technical decisions

• Analyze, troubleshoot, and debug product defects and deliver timely solutions

• Develop a deep understanding of post-quantum cryptography, PKI, and cryptographic asset landscape

Requirements

• 5+ years of professional software engineering experience

• Expert proficiency in Go for RESTful, cloud-native web services

• Strong TypeScript backend development skills

• Fluency with AI coding agents as a daily production workflow

• Hands-on experience building with agentic AI workflows (LLM API integration, function-calling pipelines, autonomous agents, or AI-assisted development pipelines)

• Strong knowledge of software engineering best practices (design, testing, architecture, code quality)

• Experience with service-based architectures and distributed systems

• Solid understanding of relational databases, SQL best practices, indexes, and query optimization

• Familiarity with test automation frameworks and CI/CD pipelines

• Exposure to AWS (or equivalent cloud infrastructure)

• Ability to identify where AI can accelerate delivery and advocate for AI-first engineering practices

• Strong communication and collaboration skills

Benefits

• Competitive compensation and comprehensive health, dental, and vision coverage

• Retirement savings programs with company matching (401(k) or RRSP)

• Generous paid time off, including holidays, and vacation

• Paid parental leave and family support benefits

• Life and disability coverage

• Flexible spending and health savings options (where applicable)

• Health and wellness support (e.g., gym reimbursement and wellness programs)

• Employee Assistance Program with 24/7 confidential support

• Education assistance and professional development opportunities

• Access to LinkedIn Learning and continuous learning resources

• Referral bonus and additional perks/discounts

• Internal rewards and recognition platform (Motivosity)

• Business travel insurance and global employee support programs