Senior Software Engineer
for section headings. Use - for any list of duties/requirements/benefits, and
for prose.
We need to preserve all substantive information; do not invent or summarize away detail.
We need to include sections only when posting has real specific content.
Thus sections: About the role (from Job summary), Responsibilities (What you will do), Requirements (What you will have + Nice to have + Technologies and tools we use + What We're Really Looking For), Benefits, Pay.
We could also have Skills but maybe combine into Requirements.
We must not create sections with filler like "commensurate with experience". Not relevant.
We need to ensure we don't repeat content.
Let's extract specifics.
Company description: "Who we areDigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose DigiCert to stop today’s threats and prepare for a quantum-safe future at www.digicert.com"
We could put that under About the role? Actually About the role is about the role, not company. But we could treat "Who we are" as About the company, but heading options limited. Could use About the role for role summary, and maybe include company description in a paragraph under About the role? Might be okay.
Job summary: "Quantum computers are coming — and when they arrive, the encryption protecting most of the world's digital infrastructure will need to change. DigiCert Quantum Central is the platform helping enterprises get ahead of that transition: discovering cryptographic assets, identifying vulnerabilities, prioritizing remediation, and managing their migration to post-quantum cryptography (PQC).The Quantum Central engineering team is looking for a full stack Senior Software Engineer to help build this platform from the ground up. This is greenfield, high-impact work on a problem the industry hasn't fully solved yet. You'll design APIs, own features end-to-end, and ship software that some of the world's largest organizations depend on to stay secure.We move fast. We use AI as a force multiplier. And we hold the bar high on quality — because in security, cutting corners isn't an option."
That's substantive.
Responsibilities: bullet list under "What you will do". Let's extract each line:
- 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 part of your daily workflow — fluently, not occasionally
- Design and ship software using agentic AI workflows: LLM orchestration, autonomous pipelines, and AI-assisted product features where relevant to the Quantum Central platform
- Collaborate with engineers, product managers, and security researchers to build PQC readiness tooling the market doesn't yet have
- Engage with engineering leaders to implement industry best practices and drive technical decisions
- Analyse, troubleshoot, and debug product defects and deliver timely solutions
- Develop a deep understanding of post-quantum cryptography, PKI, and the cryptographic asset landscape
That's responsibilities.
Requirements/Qualifications/Skills: "What you will have" bullet list:
- +5 years of professional software engineering experience
- Expert proficiency in Go for designing and building RESTful, cloud-native web services
- Strong TypeScript backend development skills
- Fluency with AI coding agents (Cursor, GitHub Copilot, Claude Code, or similar) as a daily, production workflow — you use them to ship faster and with higher quality, and you bring the judgment to review what they produce
- Hands-on experience building with agentic AI workflows: LLM API integration, function-calling pipelines, autonomous agents, or AI-assisted development pipelines in production or near-production systems
- Strong knowledge of software engineering best practices: design, testing, architecture, and 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 within the team
- Strong communication and collaboration skills
Nice to have:
- Understanding of post-quantum cryptography (PQC), SSL/TLS, PKI, or cryptographic asset management
- Familiarity with NIST PQC standards (Kyber, Dilithium, etc.)
- Experience with cryptographic discovery tools, CMDB integrations, or security posture management platforms
- Bachelor's degree in Computer Science, Information Systems, or equivalent industry experience
- Experience building multi-agent AI systems or RAG-based features integrated into real product workflows
Technologies and tools we use — any experience is a bonus:
- Go
- MySQL / MariaDB
- React / Redux
- Java
- Docker and Kubernetes
- Git and GitHub
- Jira API / ITSM integrations
What We're Really Looking For Beyond the technical requirements, we're looking for someone with a specific mindset:
- AI-native, not AI-curious. You've already internalized AI coding agents into your daily workflow. You know their strengths, their failure modes, and how to prompt them effectively. You use them to move faster without letting them move carelessly.
- Speed with judgment. You understand that "ship fast" and "ship quality" aren't opposites — they're a discipline. You know when to iterate quickly and when to slow down and get it right.
- You treat features like your name is on them, because it is.
We could incorporate mindset into Skills or Qualifications.
Benefits: bullet list:
- 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, including gym reimbursement and wellness programs
- Employee Assistance Program with 24/7 confidential support for employees and families
- Education assistance and professional development opportunities
- Access to LinkedIn Learning and continuous learning resources
- Employee referral bonus program and additional company perks and discounts
- Internal rewards and recognition platform (Motivosity) to celebrate and acknowledge project wins, milestone achievements, and the outstanding contributions of our colleagues
- Business travel insurance and global employee support programs
Pay: Base Salary: $135,000 USD - $170,000 USD
Schedule: none.
We must not include boilerplate like EEO, application instructions, etc.
Now produce HTML.
Structure:
About the role
... (company description + job summary)
Responsibilities
- ... each responsibility
Requirements
- ... combine all requirements, nice to have, technologies, mindset? Might be long but okay.
Alternatively split into Qualifications and Skills but we prefer few sections. Could have Requirements (mandatory) and Preferred Qualifications (nice to have). But instruction: prefer few substantive sections over many thin ones. So maybe combine all into Requirements.
But we need to preserve all substantive information; combining is fine.
We'll list all bullet points under Requirements.
We need to ensure we don't lose any detail.
Let's craft.
First, About the role paragraph: combine Who we are and Job summary.
Paragraph: "DigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose DigiCert to stop today’s threats and prepare for a quantum-safe future at www.digicert.com. Quantum computers are coming — and when they arrive, the encryption protecting most of the world's digital infrastructure will need to change. DigiCert Quantum Central is the platform helping enterprises get ahead of that transition: discovering cryptographic assets, identifying vulnerabilities, prioritizing remediation, and managing their migration to post-quantum cryptography (PQC). The Quantum Central engineering team is looking for a full stack Senior Software Engineer to help build this platform from the ground up. This is greenfield, high-impact work on a problem the industry hasn't fully solved yet. You'll design APIs, own features end-to-end, and ship software that some of the world's largest organizations depend on to stay secure. We move fast. We use AI as a force multiplier. And we hold the bar high on quality — because in security, cutting corners isn't an option."
That's fine.
Now Responsibilities list.
Now Requirements list: include all bullet points from What you will have, Nice to have, Technologies and tools we use, What We're Really Looking For.
We need to keep them as separate bullet points.
Let's list them:
From What you will have:
- +5 years of professional software engineering experience
- Expert proficiency in Go for designing and building RESTful, cloud-native web services
- Strong TypeScript backend development skills
- Fluency with AI coding agents (Cursor, GitHub Copilot, Claude Code, or similar) as a daily, production workflow — you use them to ship faster and with higher quality, and you bring the judgment to review what they produce
- Hands-on experience building with agentic AI workflows: LLM API integration, function-calling pipelines, autonomous agents, or AI-assisted development pipelines in production or near-production systems
- Strong knowledge of software engineering best practices: design, testing, architecture, and 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 within the team
-
for prose. We need to preserve all substantive information; do not invent or summarize away detail. We need to include sections only when posting has real specific content. Thus sections: About the role (from Job summary), Responsibilities (What you will do), Requirements (What you will have + Nice to have + Technologies and tools we use + What We're Really Looking For), Benefits, Pay. We could also have Skills but maybe combine into Requirements. We must not create sections with filler like "commensurate with experience". Not relevant. We need to ensure we don't repeat content. Let's extract specifics. Company description: "Who we areDigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose DigiCert to stop today’s threats and prepare for a quantum-safe future at www.digicert.com" We could put that under About the role? Actually About the role is about the role, not company. But we could treat "Who we are" as About the company, but heading options limited. Could use About the role for role summary, and maybe include company description in a paragraph under About the role? Might be okay. Job summary: "Quantum computers are coming — and when they arrive, the encryption protecting most of the world's digital infrastructure will need to change. DigiCert Quantum Central is the platform helping enterprises get ahead of that transition: discovering cryptographic assets, identifying vulnerabilities, prioritizing remediation, and managing their migration to post-quantum cryptography (PQC).The Quantum Central engineering team is looking for a full stack Senior Software Engineer to help build this platform from the ground up. This is greenfield, high-impact work on a problem the industry hasn't fully solved yet. You'll design APIs, own features end-to-end, and ship software that some of the world's largest organizations depend on to stay secure.We move fast. We use AI as a force multiplier. And we hold the bar high on quality — because in security, cutting corners isn't an option." That's substantive. Responsibilities: bullet list under "What you will do". Let's extract each line: - 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 part of your daily workflow — fluently, not occasionally - Design and ship software using agentic AI workflows: LLM orchestration, autonomous pipelines, and AI-assisted product features where relevant to the Quantum Central platform - Collaborate with engineers, product managers, and security researchers to build PQC readiness tooling the market doesn't yet have - Engage with engineering leaders to implement industry best practices and drive technical decisions - Analyse, troubleshoot, and debug product defects and deliver timely solutions - Develop a deep understanding of post-quantum cryptography, PKI, and the cryptographic asset landscape That's responsibilities. Requirements/Qualifications/Skills: "What you will have" bullet list: - +5 years of professional software engineering experience - Expert proficiency in Go for designing and building RESTful, cloud-native web services - Strong TypeScript backend development skills - Fluency with AI coding agents (Cursor, GitHub Copilot, Claude Code, or similar) as a daily, production workflow — you use them to ship faster and with higher quality, and you bring the judgment to review what they produce - Hands-on experience building with agentic AI workflows: LLM API integration, function-calling pipelines, autonomous agents, or AI-assisted development pipelines in production or near-production systems - Strong knowledge of software engineering best practices: design, testing, architecture, and 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 within the team - Strong communication and collaboration skills Nice to have: - Understanding of post-quantum cryptography (PQC), SSL/TLS, PKI, or cryptographic asset management - Familiarity with NIST PQC standards (Kyber, Dilithium, etc.) - Experience with cryptographic discovery tools, CMDB integrations, or security posture management platforms - Bachelor's degree in Computer Science, Information Systems, or equivalent industry experience - Experience building multi-agent AI systems or RAG-based features integrated into real product workflows Technologies and tools we use — any experience is a bonus: - Go - MySQL / MariaDB - React / Redux - Java - Docker and Kubernetes - Git and GitHub - Jira API / ITSM integrations What We're Really Looking For Beyond the technical requirements, we're looking for someone with a specific mindset: - AI-native, not AI-curious. You've already internalized AI coding agents into your daily workflow. You know their strengths, their failure modes, and how to prompt them effectively. You use them to move faster without letting them move carelessly. - Speed with judgment. You understand that "ship fast" and "ship quality" aren't opposites — they're a discipline. You know when to iterate quickly and when to slow down and get it right. - You treat features like your name is on them, because it is. We could incorporate mindset into Skills or Qualifications. Benefits: bullet list: - 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, including gym reimbursement and wellness programs - Employee Assistance Program with 24/7 confidential support for employees and families - Education assistance and professional development opportunities - Access to LinkedIn Learning and continuous learning resources - Employee referral bonus program and additional company perks and discounts - Internal rewards and recognition platform (Motivosity) to celebrate and acknowledge project wins, milestone achievements, and the outstanding contributions of our colleagues - Business travel insurance and global employee support programs Pay: Base Salary: $135,000 USD - $170,000 USD Schedule: none. We must not include boilerplate like EEO, application instructions, etc. Now produce HTML. Structure:
About the role
... (company description + job summary)
Responsibilities
- ... each responsibility
Requirements
- ... combine all requirements, nice to have, technologies, mindset? Might be long but okay.