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Jobgether logo
Jobgether

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! 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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Software Engineer - Runtime

Location

United States

Posted

89 days ago

Salary

0

Seniority

Senior

No structured requirement data.

Job Description

Senior Software Engineer - Runtime

Jobgether

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Senior Software Engineer - Runtime to design and build high-performance backend systems that support real-time security and observability at scale. In this role, you will develop scalable APIs, data pipelines, and services that handle large volumes of multi-cloud data while ensuring reliability, performance, and cost-efficiency. - Design, build, and maintain scalable backend services, APIs, and data processing pipelines to support runtime security and observability. - Collaborate with cross-functional teams, including Product, Threat Research, Frontend, and Customer-facing teams, to deliver high-impact features. - Optimize architecture for reliability, performance, and cost efficiency in multi-cloud environments including Kubernetes, AWS, GCP, and IBM Cloud. - Participate in design sessions, code reviews, and operational support of services owned by your team. - Implement logging, metrics, and observability best practices to support troubleshooting and system monitoring. - Contribute to AI-driven productivity initiatives and automation of operational workflows. Qualifications - 7+ years of professional experience in backend software development. - Strong computer science fundamentals in algorithms, data structures, systems design, and distributed systems. - Hands-on experience building scalable backend services and APIs. - Proficiency in Go, Java, or C++ in production environments; experience with Python is a plus. - Experience with containerized workloads and cloud-native infrastructure (Docker, Kubernetes). - Familiarity with messaging and streaming platforms (NATS, JetStream, Kafka). - Experience with datastores such as Elasticsearch, Redis, and Postgres/SQL. - Knowledge of cloud platforms including AWS, GCP, and IBM Cloud. - Experience in building or operating security products is desirable. Benefits - Competitive salary with performance-based incentives. - Flexible remote work arrangements. - Comprehensive healthcare and retirement plans. - Opportunities for professional growth and skill development. - Collaborative, innovative, and inclusive work environment. - Access to cutting-edge technologies and AI tools to enhance productivity.

Job Requirements

  • 7+ years of professional experience in backend software development.
  • Strong computer science fundamentals in algorithms, data structures, systems design, and distributed systems.
  • Hands-on experience building scalable backend services and APIs.
  • Proficiency in Go, Java, or C++ in production environments; experience with Python is a plus.
  • Experience with containerized workloads and cloud-native infrastructure (Docker, Kubernetes).
  • Familiarity with messaging and streaming platforms (NATS, JetStream, Kafka).
  • Experience with datastores such as Elasticsearch, Redis, and Postgres/SQL.
  • Knowledge of cloud platforms including AWS, GCP, and IBM Cloud.
  • Experience in building or operating security products is desirable.

Benefits

  • Competitive salary with performance-based incentives.
  • Flexible remote work arrangements.
  • Comprehensive healthcare and retirement plans.
  • Opportunities for professional growth and skill development.
  • Collaborative, innovative, and inclusive work environment.
  • Access to cutting-edge technologies and AI tools to enhance productivity.

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