Senior Software Engineer (Guarded OS)

Accountabilities:
As a Senior Software Engineer, you will design, develop, and operate the systems responsible for continuously building, updating, and delivering secure software packages. You will take ownership of complex engineering challenges, improve platform reliability, and contribute to the evolution of large-scale cloud-native infrastructure. Key responsibilities include: Building, operating, and enhancing Kubernetes-based build platforms that transform package specifications into production-ready artifacts. Improving system reliability, scalability, performance, resource efficiency, and multi-architecture support across production environments. Maintaining and evolving package build tooling with a focus on stability, testing, observability, patch management, and operational excellence. Developing automation for package rebuilds, validation workflows, dependency analysis, and operational processes to reduce manual effort. Designing monitoring solutions, dashboards, alerting systems, and automated remediation capabilities to proactively identify and resolve issues. Contributing to technical roadmaps for build and update services while helping define long-term platform improvements. Documenting architectures, systems, and operational practices to support knowledge sharing across engineering teams. Supporting software package updates and improvements to maintain secure, reliable, and up-to-date infrastructure. Requirements: The ideal candidate is an experienced software engineer with strong backend development skills, distributed systems expertise, and a passion for building reliable infrastructure. You should be comfortable working independently, collaborating remotely, and solving complex technical problems across multiple layers of the stack. Required qualifications and preferred experience include: 4+ years of professional software engineering experience, ideally focused on backend systems, distributed systems, or developer platforms. Strong experience building production services using Go. Proven experience designing, operating, and troubleshooting production systems at scale, including incident response and operational improvements. Strong Linux systems knowledge and experience working with cloud-native technologies. Hands-on experience with Kubernetes, containerized applications, and modern infrastructure design. Experience with CI/CD platforms, developer tooling, internal platforms, or build infrastructure. Familiarity with infrastructure-as-code tools such as Terraform and automated deployment workflows. Strong debugging and problem-solving skills across complex distributed environments. Experience with cloud platforms such as GCP, AWS, or Azure; familiarity with services like BigQuery, IAM, and Cloud Logging is a plus. Experience with software packaging, build systems, Kubernetes operators, observability tools, ARM64 environments, or dependency management is highly valued. Ability to communicate effectively, manage priorities independently, and collaborate within a remote-first engineering organization. Experience using AI-assisted development tools responsibly to improve productivity while applying strong technical judgment. Benefits: Competitive compensation package with salary, equity opportunities, and additional benefits. Fully remote-first work environment with opportunities for team meetups and company-wide gatherings. Monthly stipend to support coworking spaces, phone, and internet expenses. Stock options available upon joining and through promotions, with extended flexibility for exercising options. Comprehensive health, vision, and dental insurance coverage for employees and dependents. Flexible paid time off policy to support work-life balance and sustainable performance. Paid parental leave, including extended leave options for new parents. Opportunity to work on impactful technology that improves software security and reliability at global scale. Inclusive and collaborative culture focused on innovation, ownership, and continuous learning.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
#LI-CL1