Join Elastic as a Software Engineer II to enhance application networking solutions in the Elastic Cloud with a focus on performance and security.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 10 hours ago
Skills & Technologies
AI in the day-to-day
Proficient in using AI tools to enhance code functionality and maintainability.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer II focuses on developing and enhancing application networking solutions within the Elastic Cloud, addressing areas like security controls and DNS management. Proficiency in Golang, Kubernetes, and cloud networking is essential, along with a collaborative mindset and a commitment to code quality. This position is well-suited for engineers with a solid background in networking and a curiosity about distributed systems. Elastic fosters a diverse and inclusive environment, encouraging knowledge sharing and teamwork across its engineering teams.
Joblaze insights
- Listed about a month ago — first seen on Joblaze August 13, 2026. Last confirmed on Elastic's careers page October 8, 2026.
- This exact title is also open at 3 other locations at Elastic: Greece, Portugal, Norway.
- Starts above 6% of 64 comparable mid backend roles that list Kubernetes we track (median $125,000 across 30 companies). See Kubernetes salary trends
- Kubernetes appears in 28.4% of 510 comparable mid backend roles; Golang appears in 5.1% of 510 comparable mid backend roles.
Quick facts
- Is the Principal Software Engineer (Networking) - Platform Infra role remote?
- It's hybrid — Elastic expects some on-site time in Spain.
- What's the salary range?
- Elastic lists €62,800–€84,300 for this role.
- Where is the role based?
- Elastic is hiring for this position in Spain.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, GCP, Golang, Kubernetes.
- What seniority level is this role?
- Elastic targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Principal Software Engineer (Networking) - Platform Infra role at Elastic.
From the original posting
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.
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Set the technical direction for major application networking initiatives, owning designs from proposal through general availability.
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Lead the development of Ingress, private connectivity, DNS, and security controls on a large scale for Elastic Cloud. Continuously identify and address issues related to performance, reliability, and operability.
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Lead multi-quarter, cross-organizational projects that other Elastic engineering teams rely on, and guide these projects through to delivery.
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Raise the operational quality of our services. Take charge of operational investigations from beginning to end. Lead complex incident investigations and reviews. Participate in on-call rotation.
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Mentor and support engineers across the team, serve as a subject matter expert and trusted technical advisor to the wider engineering organization, and set the standard for how we build software.
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Partner with and advise product management and senior engineering stakeholders on technical trade-offs, feasibility, and roadmap direction.
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Identify and champion improvements to security, stability, and cost efficiency before they become problems. Untangle complexity and bring architectural clarity across the platform.
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Experience with building software, including setting technical direction for complex distributed systems running production at scale (Staff or Principal level, or equivalent scope).
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Deep expertise in application networking and cloud-native architecture. You should understand how services communicate at scale. Knowledge of how to design, operate, and evolve Ingress, private connectivity, DNS, and security controls is required.
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You have experience building large-scale distributed systems, rather than making use of off-the-shelf services.
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You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. You have experience guiding work involving multiple engineers.
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You have operated high-availability SaaS platforms, responded to incidents, and improved reliability over time. You care about the quality of work shipped — testing, observability, and operability.
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You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
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You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
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You can work autonomously, drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication. You communicate clearly and can influence direction across teams and levels without formal authority.
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Hands-on experience with Kubernetes networking (Cilium, external-dns, Envoy Gateway, and Crossplane) and with at least one major cloud provider (AWS, Azure, or GCP) and its networking ecosystem.
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You have contributed to CNCF or other open-source networking projects
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.
The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.
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