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Principal Software Engineer I - Serverless - Platform Control Plane

Shape the future of Elastic Cloud Serverless as a Principal Software Engineer, leading technical direction and mentoring a distributed team.

Location
United States
Compensation
$159.8k–$252.8k/yr
Level
principal
Type
full time · Remote

Posted by employer 2 months ago

First seen on Joblaze 2 months ago

Last verified on the company career page 14 hours ago

Skills & Technologies

Role intensity

40% coding

AI in the day-to-day

You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code.

Requirements

Experience
8+ years

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Volunteer Time Off Flexible Work Schedule Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

In this role, the Principal Software Engineer will focus on shaping the technical direction of the Serverless control plane, overseeing the design and management of distributed systems across major cloud platforms. Proficiency in Kubernetes, Go, and cloud-native architectures is essential, along with a strong background in building high-availability SaaS solutions. This position is ideal for seasoned engineers with extensive experience in complex systems and a collaborative mindset, as they will work closely with cross-functional teams to drive significant initiatives.

Joblaze insights

  • Listed about 2 months ago — first seen on Joblaze August 31, 2026. Last confirmed on Elastic's careers page November 4, 2026.
  • Salary band is below the typical range for Backend roles (median ~$180,000).
  • Starts above 67% of 64 comparable principal backend roles we track (median $110,039 across 12 companies).
  • AWS appears in 15.7% of 102 comparable principal backend roles; Go appears in 6.9% of 102 comparable principal backend roles.

Quick facts

Is the Principal Software Engineer I - Serverless - Platform Control Plane role remote?
Yes — Elastic lists this as a fully remote position.
What's the salary range?
Elastic lists $159,800–$252,800 for this role.
How much experience is required?
At least 8 years of relevant experience for this Principal Software Engineer I - Serverless - Platform Control Plane role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Azure, Go, Google Cloud, Kubernetes.
What seniority level is this role?
Elastic targets principal-level candidates for this position.
Is this full-time or contract?
Full-time for this Principal Software Engineer I - Serverless - Platform Control Plane 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.

What Is The Role :

The Control Plane Serverless team builds and operates the orchestration layer behind Elastic Cloud Serverless. Elastic Cloud Serverless is our fully managed offering, built on a stateless architecture that separates compute from storage and scales automatically with customer demand. We build the distributed services that create, configure, scale, and manage the lifecycle of Serverless projects on AWS, Google Cloud, and Azure, and we own Elastic Cloud on Kubernetes (ECK). Our stack is built on Kubernetes, Go, and cloud-native architectures.
This is a Principal level role for an engineer who wants to shape where this platform goes next. Elastic is investing heavily in Serverless, building new capabilities for customers and expanding to more regions and cloud providers, while holding a high bar for reliability and security. You will set technical direction for this work, not just execute it.
We are a distributed team of skilled engineers across the world. We work asynchronously by default, write things down, share context openly, and give engineers real ownership of hard problems. You will partner closely with our tech lead, engineering manager, and product management, and with teams such as Elasticsearch and Kibana on initiatives that span the whole stack.
Day to day, you will shape technical designs and trade-off analyses, write and review code, lead the investigation of complicated failure scenarios, and balance work across security, reliability, and features. You will also participate in an on-call rotation to address operational events in a timely manner.

What You Will Be Doing :

  • Set the technical direction for major initiatives across the Serverless control plane, owning designs from proposal through general availability.
  • Lead multi-quarter projects with dependencies across teams such as Elasticsearch and Kibana, and guide these projects through to delivery.
  • Design, build, and evolve the distributed systems that orchestrate and manage Serverless projects across cloud service providers.
  • Raise the operational bar of our services, lead complex incident investigations and reviews, and participate in the on-call rotation.
  • Mentor and support engineers across the team, level up our collective technical judgment, and set the standard for how we build software.
  • Partner with and advise product management and senior engineering stakeholders on technical trade-offs, feasibility, and roadmap direction.
  • Identify and champion improvements to security, stability, and cost efficiency before they become problems.

What You Bring :

  • 8+ years building software, including setting technical direction for complex distributed systems running production at scale (Staff or Principal level, or equivalent scope).
  • Deep expertise in Kubernetes and cloud-native architecture, including designing systems that orchestrate other systems.
  • Proficiency with Go, and hands-on work with at least one major cloud service provider (AWS, Google Cloud, or Azure).
  • You have operated high-availability SaaS platforms, responded to incidents, and improved reliability over time.
  • You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
  • You possess the ability to collaborate across teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
  • 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.

Bonus Points :

  • You have built for FedRAMP or other regulated, compliance-heavy environments.
  • Practical knowledge of the Elastic Stack or any of its products.
  • You have worked with Kubernetes operators or Elastic Cloud on Kubernetes (ECK).


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.

$159,800—$252,800 USD
The typical starting salary range for this role in the select locations listed above is:
$191,900—$303,500 USD

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