This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer, Dataplane Management in the United States.

We are seeking a highly skilled Senior Software Engineer to join a dynamic team focused on managing and evolving large-scale cloud infrastructure. The ideal candidate will work on the compute and networking foundation that powers enterprise-scale data platforms, including orchestration of hundreds of Kubernetes clusters. This role involves designing resilient, secure, and scalable systems, building APIs for self-service capabilities, and collaborating across multi-cloud environments. You will have the opportunity to tackle complex infrastructure challenges, contribute to mission-critical features, and help scale operations from hundreds to thousands of clusters. This position is fully remote, with occasional collaboration across distributed teams, and offers exposure to cutting-edge cloud, networking, and container technologies.

Accountabilities

As a Senior Software Engineer, Dataplane Management, you will:

Own and develop key endpoints and features of the platform, enabling advanced networking and self-service capabilities for enterprise customers
Build and maintain scalable, resilient, and secure infrastructure that supports multi-tenant workloads across cloud providers
Evolve fleet orchestration systems to safely deploy and roll back changes across hundreds of clusters, supporting future scale to thousands
Collaborate with cross-functional teams to implement features such as workload identity, disaster recovery, cloud resource management, and private network access
Ensure operational excellence, reliability, and security of platform workloads while minimizing toil and alert fatigue
Participate in on-call rotations to support production infrastructure, proactively addressing issues and maintaining system health
Continuously evaluate and improve platform processes, tooling, and performance to optimize efficiency and cost

Requirements

The ideal candidate will have:

Proven experience building and operating SaaS or large-scale internal compute infrastructure
Strong software engineering skills, preferably in Golang or similar languages, with an openness to learning new technologies
Production experience with container orchestration systems, ideally Kubernetes
Knowledge of secure, isolated multi-tenant architectures and cloud networking primitives across AWS, Azure, and GCP
Strong problem-solving skills, ownership mentality, and a proactive approach to addressing operational issues
Excellent communication skills for collaboration with globally distributed teams
Willingness to participate in periodic on-call rotations

Preferred Qualifications:

Experience administering Kubernetes programmatically in multiple clouds
Familiarity with designing resilient, scalable, and secure SaaS or PaaS systems
Experience with monitoring, logging, and observability tools such as Prometheus, OpenTelemetry, Splunk, or Chronosphere
Knowledge of Apache Airflow and cloud-native networking tools (Calico, Cilium, Istio)
Passion for optimizing infrastructure, reducing costs, and improving operational efficiency

Benefits

This role offers:

Competitive annual salary, estimated between $180,000 - $210,000, plus equity
Fully remote work with a flexible schedule
Comprehensive healthcare coverage, including medical, dental, and vision
Generous paid time off and holidays
Opportunities for professional development and career growth
Exposure to cutting-edge cloud, container, and orchestration technologies
Collaborative and innovative work environment with globally distributed teams

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 3 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!