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Elastic

Software Engineer II (Networking) - Platform Infra

United States; United StatesRemote · United States
Mid-level · Platform - Control Plane
POSTED 20 OCTVERIFIED 1D AGO
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Pay · posted
$133k–166k
mkt median $130k
Open for
16d
closes ~60d here
Hiring · 30d
430
+15 net · open roles
GoElasticsearchAWSGCPAzureKubernetesDistributed systems

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

In this role, you'll be deeply involved in shaping the future of application networking solutions within the Elastic Cloud, focusing on key areas such as Ingress, security controls, private connectivity, and DNS management. You will play a vital role in ensuring that every interaction with Elasticsearch, Kibana, and the broader Elastic stack is proficient and secure. You will work with various engineering teams. You will face challenges that require careful problem-solving and scalability. Your contributions will not only enhance the performance of our platform but also help lay the groundwork for future innovations in our infrastructure.

What You Will Be Doing

Design and implement scalable and robust application networking features to enhance performance. Integrate security controls into networking solutions, ensuring safe interactions. Refactor existing code to improve functionality and maintainability while leveraging AI tools to boost productivity for you and your team.

Analyze performance metrics to pinpoint bottlenecks in application networking. Conduct load testing to assess scalability of networking features and optimize code to enhance response times and resource efficiency. Implement performance monitoring tools while collaborating with cross-functional teams to meet their application networking needs.

Identify and tackle application networking issues to enhance performance. Conduct root cause analysis for network-related incidents and document the troubleshooting processes for future reference. Develop tools aimed at tracing and fixing errors associated with application networking.

Collaborate with Engineering teams across Elastic to discuss and fulfill their Application Networking requirements.

What You Bring

Hands-on experience developing software in Golang with an emphasis on networking components that can scale.

Experience working with Kubernetes (Cilium, external-dns, Envoy Gateway & Crossplane) are also great

Knowledge with at least one major cloud provider (AWS, Azure, or GCP) and their networking ecosystem

Proficient in using AI tools to enhance code functionality and maintainability

Facilitated knowledge-sharing initiatives that promoted best practices in application networking across teams

Care about the quality of work shipped — testing, observability, and operability

Curiosity about distributed systems and how services communicate at scale

A collaborative approach: welcoming feedback, sharing context, learning from teammates

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

Source · ElasticFirst seen 2 NovOriginal ↗