Senior Software Engineer

DigiCert
Lehi, UT

Who this role is best for

Geared toward AI-native engineers comfortable with building cloud-native services in Go and TypeScript, and working on high-impact, security-focused infrastructure in Lehi, Utah.

Best fit for

  • Candidates with AI-first engineering practices and a background in cloud-native development
    — “Use AI coding agents as a native part of your daily workflow”
  • Individuals with a strong grasp of distributed systems and a track record of end-to-end feature ownership
    — “Own features end-to-end: design, implementation, testing, deployment, and observability”

Things to consider

  • Requires fluency with AI coding agents as a core part of the development process
    — “Fluency with AI coding agents as a daily, production workflow”
  • Candidates must be prepared to engage in high-stakes security work with no room for error
    — “because in security, cutting corners isn't an option”

How to stand out

  • Highlight your experience with AI-assisted development pipelines in your resume and interviews
    — “Design and ship software using agentic AI workflows”
  • Emphasize your hands-on work with distributed systems and cloud-native architectures
    — “Build RESTful, highly scalable cloud-native services in Go and TypeScript”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • highly scalable cloud services
  • AI integration
Typical background
software engineeringcomputer science

Skills & requirements

Required

Full Stack DevelopmentRestful ServicesCloud-native ArchitectureGoTypeScript

Preferred

AI Coding AgentsAgentic AI Workflows

Stack & domain

GoTypeScriptRestful ServicesCloud-native Web ServicesAI Coding AgentsAgentic AI WorkflowsLLM API IntegrationFunction-calling PipelinesAutonomous AgentsAi-assisted Development PipelinesRelational DatabasesSQLIndexesQuery OptimizationTest Automation FrameworksCi/cd PipelinesAWSCommunicationCollaborationPost-quantum CryptographyPKICertificate Lifecycle Management

About the role

Original posting from DigiCert

Who we are

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

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.

What you will do

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

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

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.

DigiCert is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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, including gym reimbursement and wellness programs 

Employee Assistance Program with 24/7confidential 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 

To protect candidate information and maintain a secure hiring process, all applications must be submitted through our careers portal. Resumes or CVs sent directly via email will not be reviewed or considered.

DigiCert is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, DigiCert prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified person with disabilities, and protected veterans are strongly encouraged to apply.

#LI-RR1

Compensation Transparency:  

The annualized base salary range for this position is outlined below. 

Each candidate’s compensation offer will be determined based on factors including experience, skills, qualifications, job duties, business needs, and location. For roles that include additional compensation components, total compensation may include base pay, bonus, equity, or other incentives. 

This role may also be eligible for benefits, which will be discussed during the hiring process. We are committed to fair and transparent pay practices and comply with all applicable pay transparency requirements. If you would like more information about compensation or benefits, we are happy to provide additional details during the hiring process. 

For more information regarding our comprehensive benefits, see the benefits section. 

Base Salary$135,000—$170,000 USD

Source: DigiCert careers

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