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Secure Software Developer Jobs in Star, ID (NOW HIRING)

These systems enable secure and scalable access to foundation models across the aiR Suite while ... Understanding of DevOps principles and experience with tools such as GitHub Actions * Experience ...

Cloud Platform Engineer

Nampa, ID · On-site

$49.50 - $66.25/hr

... secure software delivery and platform hardening. - Monitor cloud platforms for performance ... DevOps, GitLab, Jenkins, or similar. - Demonstrated experience integrating security scanning ...

Cloud Platform Engineer

Meridian, ID · On-site

$52.50 - $70.25/hr

... secure software delivery and platform hardening. - Monitor cloud platforms for performance ... DevOps, GitLab, Jenkins, or similar. - Demonstrated experience integrating security scanning ...

Cloud Platform Engineer

Boise, ID · On-site

$53 - $71/hr

... secure software delivery and platform hardening. - Monitor cloud platforms for performance ... DevOps, GitLab, Jenkins, or similar. - Demonstrated experience integrating security scanning ...

Senior Software Engineer

Boise, ID

$116K - $153K/yr

We are seeking a highly skilled Full-Stack Senior Software Engineer to join our team. In this role ... Develop and maintain a secure, reliable, and scalable, and efficient platform spanning back-end ...

Manager, Software Engineering

Boise, ID · Remote

$195K - $257K/yr

Lead agile software processes for engineering teams and introduce best-in-class industry practices ... Hands on technical manager experienced in designing, building and deploying secure, scalable ...

Lead agile software processes for engineering teams and introduce best-in-class industry practices ... Hands on technical manager experienced in designing, building and deploying secure, scalable ...

Staff Software Engineer

Boise, ID · On-site

$174K - $262K/yr

... AI capabilities, and modern developer tooling. Our AI powers privacy programs, identifies ... Drive design ofdistributed, scalable, secure full-stack cloud services that process petabytes of ...

We're looking for a React UI developer, ideally full-stack with .NET C# back-end development skills ... Knowledge of AWS security best practices, including IAM and secure secrets management

Be Seen First

Oversee tech provisioning for new hires, including secure software configurations, password ... systems engineering experience. * Strict understanding of healthcare compliance data standards ...

A successful candidate in this role will be experienced in modern software development programming ... secure secrets management using AWS IAM, AWS KMS, AWS Secrets Manager. • Deploy and automate AWS ...

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Secure Software Developer information

See Star, ID salary details

$45.2K

$105.2K

$156.2K

How much do secure software developer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for secure software developer in Star, ID is $105,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $122,300.00 per year, depending on experience, location, and employer.

Can you make $200,000 in cyber security?

Secure Software Developers and cybersecurity professionals can earn $200,000 or more annually, especially with extensive experience, advanced certifications, and working in high-demand industries or senior roles. Salaries vary based on location, expertise, and the complexity of the work involved.

Can you make $500,000 as a software engineer?

Secure software developers with extensive experience, specialized skills in areas like cybersecurity or cloud computing, and working in high-paying industries or senior roles can potentially earn $500,000 or more annually. Such salaries are typically achieved through a combination of advanced expertise, certifications, and often involve leadership or highly technical positions in large organizations. However, these earnings are not common for entry-level or mid-level roles.

Can you make $500,000 a year in cyber security?

Secure Software Developers and cybersecurity professionals can potentially earn $500,000 or more annually, especially with senior roles, specialized skills, certifications like CISSP or CISM, and experience in high-demand areas such as threat intelligence or security architecture. Achieving this level often requires advanced expertise, leadership responsibilities, or working in high-paying industries or consulting roles.

What are the key skills and qualifications needed to thrive as a Secure Software Developer, and why are they important?

To thrive as a Secure Software Developer, you need strong programming abilities, a solid understanding of cybersecurity principles, and experience with secure coding practices, often supported by a degree in computer science or a related field. Familiarity with tools like static code analyzers, vulnerability scanners, and security frameworks, as well as certifications such as CSSLP or CEH, are commonly required. Attention to detail, problem-solving, and effective communication are vital soft skills in this role. These skills and qualifications are crucial to building resilient software and protecting organizations from evolving security threats.

What is a secure software developer?

A secure software developer is a professional who designs, codes, and tests software with a focus on security to prevent vulnerabilities and protect against cyber threats. They often use security best practices, coding standards, and tools like static analysis and penetration testing to ensure software safety throughout the development lifecycle.

What are some common challenges Secure Software Developers face when integrating security into the software development lifecycle?

Secure Software Developers often encounter challenges such as balancing application performance with security controls, keeping up with constantly evolving threats, and ensuring secure coding practices are consistently followed across development teams. They must also work closely with other developers, QA testers, and DevOps professionals to implement security requirements without slowing down project timelines. Regular code reviews, automated security testing, and ongoing collaboration with stakeholders are essential to overcoming these challenges and delivering robust, secure software.
Software Engineer

Software Engineer

Relativity

Boise, ID • On-site

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting