Senior Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer based in the United States.

The Senior Software Engineer will help build and scale an AI-driven cybersecurity platform focused on advanced threat detection, automation, and continuous protection. This role offers the opportunity to take ownership of major engineering initiatives across backend services, frontend applications, and cloud infrastructure. You will work on challenging problems involving security, artificial intelligence, and distributed systems while collaborating closely with product, design, and engineering teams. As a senior individual contributor, you will influence architectural decisions, strengthen engineering standards, and provide technical guidance to peers. You will also help shape the evolution of a rapidly growing technology platform in a well-funded startup environment. This position is ideal for an experienced engineer who values ownership, technical excellence, continuous learning, and the opportunity to grow into a broader leadership role.

As a Senior Software Engineer, you will lead the development of scalable, secure, and reliable software solutions while contributing to the technical direction and engineering practices of the team. Your responsibilities will include:

• Design, develop, and deploy scalable backend services and APIs that support core platform capabilities.

• Build and maintain intuitive, responsive, and high-performance frontend applications using modern web technologies.

• Own engineering projects end to end, from system architecture and implementation through deployment, monitoring, and ongoing maintenance.

• Collaborate with product managers, designers, and fellow engineers to define requirements, prioritize initiatives, and deliver new features.

• Write clean, maintainable, reusable, and testable code that follows established software engineering best practices.

• Participate in technical design discussions and code reviews, helping maintain high standards for code quality, architecture, and implementation.

• Troubleshoot complex issues across the application stack and improve system reliability, performance, and security.

• Contribute to the continuous improvement of engineering processes, development tools, and team workflows.

• Explore emerging technologies and introduce practical solutions that strengthen platform capabilities and development efficiency.

• Provide technical guidance to teammates and help establish engineering practices that support the organization's growth.

Requirements:

The ideal candidate brings strong full-stack engineering capabilities, sound architectural judgment, and a proven ability to deliver complex software projects independently. The following qualifications are required:

• At least 5 years of professional software engineering experience.

• Strong understanding of software engineering principles, architectural patterns, and development best practices.

• Proficiency in at least one backend programming language, such as Go, Python, or an equivalent technology.

• Experience with modern frontend frameworks and technologies, including React, Next.js, TypeScript, or similar tools.

• Strong experience working with relational databases such as PostgreSQL, MySQL, or equivalent systems.

• Familiarity with cloud platforms, particularly Google Cloud Platform (GCP) or Amazon Web Services (AWS).

• Demonstrated ability to take ownership of complex technical projects and deliver them from initial design through production deployment.

• Excellent problem-solving, communication, and collaboration skills.

• A bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.

The following qualifications are advantageous:

• Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.

• Familiarity with continuous integration and continuous delivery (CI/CD) pipelines.

• Exposure to AI and machine learning concepts, including prompt engineering, retrieval-augmented generation (RAG), supervised fine-tuning (SFT), and vector databases.

• Experience working in an early-stage startup or another fast-paced, high-growth technology environment.

• Familiarity with cybersecurity technologies, Google SecOps, or Chronicle.

• Relevant Google Cloud certifications, such as Professional Cloud Developer or Professional Data Engineer.

Benefits:

• Base salary: $120,000–$170,000 for the position based in San Jose, with offers determined by experience, skills, education, certifications, and equity considerations.

• Competitive overall compensation and benefits package.

• Equity opportunities as part of the compensation offering.

• Opportunity to work with advanced AI-driven cybersecurity technologies and Google SecOps solutions.

• Collaboration with an experienced, innovative engineering team focused on improving security operations.

• Professional development opportunities across artificial intelligence, cybersecurity, cloud infrastructure, and emerging technologies.

• Opportunity to influence technical architecture, engineering standards, and product direction in a growing organization.

• Potential for fully remote work for exceptional candidates who meet the requirements for the remote-first arrangement; remote opportunities are highly competitive.

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.

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