Senior Cloud Software Engineer - Efficiency Engineering
New
J
JobgetherCloud Infrastructure
Based in United StatesFull-TimeSenior
SalaryTypical U.S. starting salary range of $133,450–$197,200, with a premium-market range of $157,000–$232,000 in locations such as the San Francisco Bay Area and New York City.
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSGCPJavaKubernetesC++AzureGoTerraformCloudFormation
Requirements
- 5+ years of relevant professional software development experience, with a strong track record of building and operating scalable, fault-tolerant, distributed systems.
- Strong software engineering experience in Go, C/C++, Java, or another object-oriented programming language.
- Hands-on experience with major cloud platforms such as AWS, Azure, or GCP, including infrastructure-as-code technologies such as Terraform or CloudFormation.
- Experience developing cloud infrastructure services, with Kubernetes experience preferred.
- Familiarity with cloud-native edge or service-mesh technologies such as Envoy and Istio is a plus.
- Proven ability to lead and deliver complex, large-scale technical initiatives involving multiple experienced engineers.
- Strong understanding of networking concepts, topologies, protocols, and security principles, including VPNs, firewalls, and load balancers.
- Knowledge of cloud security best practices, including encryption, access controls, and compliance frameworks such as SOC 2 and GDPR.
- Excellent production troubleshooting and debugging capabilities, combined with strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to collaborate effectively across a global, distributed team.
- Passion for improving efficiency, availability, scalability, and data governance in production environments.
- Strong ownership mentality, accountability, and ability to operate independently in a fast-paced, rapidly evolving environment.
Responsibilities
- Architect, build, deploy, and maintain robust, scalable, highly available distributed infrastructure supporting a cloud-native data platform.
- Develop and improve cloud infrastructure services and automate the management of cloud resources across multi-cloud and multi-region environments.
- Lead high-impact optimization initiatives spanning compute, storage, networking, and overall infrastructure efficiency.
- Design and implement distributed systems and engineering practices that improve reliability, scalability, performance, and cost efficiency.
- Collaborate with engineering teams to deliver high-performance, reliable, and commercially efficient solutions for a large-scale SaaS platform.
- Partner with business stakeholders to design and develop tooling that provides actionable insights into cloud costs, resource utilization, and efficiency opportunities.
- Contribute to cloud-native infrastructure capabilities, including Kubernetes-based services and, where applicable, edge or service-mesh technologies.
- Lead and deliver large-scope technical projects in collaboration with multiple senior engineers and cross-functional stakeholders.
- Apply strong production debugging and problem-solving skills to identify and resolve complex infrastructure issues.
- Maintain high standards for cloud security, availability, scalability, data governance, and operational excellence.
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