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Jobgether

Jobgether

via Lever.co

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Sr. Backend Engineer (Remote)

Anywhere
Full-time
Posted 12/2/2025
Direct Apply
Key Skills:
distributed systems
backend services
cloud platforms
scalability
Go (Golang)
AWS/GCP/Azure
Kubernetes
Kafka
Cassandra
Redis
Docker
Git

Compensation

Salary Range

$140K - 215K a year

Responsibilities

Design and develop scalable backend cloud detection systems, collaborate with cross-functional teams, and drive architectural improvements.

Requirements

Degree or equivalent experience, strong understanding of distributed architectures, engineering best practices, and experience with specified backend technologies.

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Backend Engineer (Remote) in United States. In this role, you will contribute to building next-generation cloud detection systems that protect organizations from sophisticated attacks. You will develop high-performance backend services capable of processing billions of events with minimal latency while working closely with security researchers and cross-functional engineering teams. This position offers the autonomy to architect, build, and improve distributed systems at global scale while exploring cutting-edge technologies. You will participate in continuous innovation, solve complex challenges in cloud security, and help design systems that stop breaches before they occur. This role requires passion for scalable architectures, deep technical expertise, and a collaborative mindset. \n Accountabilities Design and develop backend services ranging from prototypes to large-scale production systems for advanced cloud threat detection. Build and optimize distributed, cloud-based platforms capable of analyzing massive multi-cloud event streams. Collaborate with engineers, data specialists, and security researchers to translate detection concepts into scalable implementations. Drive architectural improvements, iterate on performance, and enhance system reliability and user experience. Mentor and be mentored within a high-trust engineering environment, contributing to shared knowledge and technical growth. Continuously evaluate new technologies, advocate best practices, and contribute to the team’s technical evolution. Take ownership of projects end-to-end, ensuring high-quality code, testing standards, and strong documentation. Requirements Degree in Computer Science or equivalent professional experience in data structures, algorithms, or distributed systems. Strong understanding of scalability challenges including sharding, concurrency, partitioning, and distributed architectures. Experience following engineering best practices including testing, code reviews, CI/CD, and resilient system design. Ability to work in fast-paced, iterative, and collaborative engineering environments. Proven ability to deliver high-quality software reliably and on schedule. Strong communication skills and a team-oriented mindset. Experience with one or more technologies from the stack: Go (Golang), AWS/GCP/Azure, Kubernetes, Kafka, Cassandra, Redis, Docker, Git. Bonus: open-source contributions, familiarity with security engineering, experience with compilers or language design, or notable personal projects/hobbies. Benefits Remote-friendly work environment with flexible arrangements. Competitive compensation and equity awards. Comprehensive physical and mental wellness programs. Generous vacation, holidays, and recharge time. Paid parental and adoption leave. Career development programs and access to learning resources. Employee resource groups, volunteer opportunities, and a supportive community. Vibrant office spaces available for those who prefer hybrid work. Salary range for U.S. candidates: $140,000 – $215,000 plus bonus and equity eligibility. \n Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

This job posting was last updated on 12/4/2025

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