Shield AI

Sr. Staff Lead Site Reliability Engineer (R5803)

Shield AI$220K — $330K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in SRE, software, or infrastructure engineering
  • Proven track record in managing production services' reliability
  • Experience with SLIs, SLOs, monitoring, and incident response
  • Familiarity with AWS or other major cloud platforms
  • Skilled in infrastructure-as-code and automation tools
  • Proficient in Python, Go, or similar for operational tooling
  • Strong troubleshooting skills across applications and networks

Responsibilities

  • Define and implement service reliability metrics
  • Enhance monitoring and logging frameworks
  • Lead response efforts during complex incidents
  • Eliminate recurring failures through engineering collaboration
  • Boost system resilience with automation and testing
  • Develop tools to minimize manual operational tasks
  • Integrate reliability into product and platform designs

Benefits

  • Bonus structure
  • Equity options
  • Full-time employee benefits package
  • Temporary employee benefits after 60 days
Full Job Description
Job Description

Hivemind is looking for an experienced SRE lead to help drive the establishment of our SRE function.

As the SRE lead, you will establish and mature the reliability practices used across our cloud infrastructure and platform services. You will work with Cloud Engineering and product teams to define reliability targets, improve observability, and ensure that production systems can be operated and recovered predictably.

This is a deeply technical, hands-on role. You will investigate complex failures, improve the systems and tooling used to operate our platforms, and turn lessons from incidents into engineering improvements. You will provide technical leadership for reliability engineering, helping teams adopt practices that improve system health without adding unnecessary process.

You will act as a thought-leader and mentor within the Cloud Engineering and Reliability teams to level up teammates and encourage building with a reliability-first mindset.

What You'll Do

  • Define and implement SLIs, SLOs, and other measures of service reliability
  • Build and improve monitoring, alerting, logging, and tracing for infrastructure and platform services
  • Lead technical response to complex incidents and drive root-cause analysis through resolution
  • Identify recurring failure modes and work with engineering teams to eliminate them
  • Improve system resilience through automation, testing, capacity planning, and failure recovery
  • Develop tooling and automation that reduces manual operational work
  • Partner with product and platform teams to incorporate reliability requirements into system design
  • Establish incident response practices that improve detection, diagnosis, communication, and recovery
  • Mentor product engineers and drive adoption of strong reliability and operational practices
  • Mentor teammates in SRE and Cloud Engineering
  • Define and manage short-and-long term SRE roadmap, distributing work across teammates


Required Qualifications

  • 7+ years of experience in SRE, software engineering, infrastructure engineering, or related fields
  • Experience operating production services with defined availability and reliability requirements
  • Experience implementing SLIs, SLOs, monitoring, alerting, and incident response practices
  • Experience designing and operating infrastructure in AWS or another major cloud environment
  • Experience with infrastructure-as-code and automated infrastructure provisioning
  • Experience supporting containerized applications and distributed systems
  • Experience developing operational tooling or automation using Python, Go, or a similar language
  • Ability to diagnose complex failures across applications, infrastructure, networking, and dependent services
  • Experience leading incident response and root-cause analysis across engineering teams
  • Experience leading and executing on technical vision of a team over multi-quarter timelines


Preferred Qualifications

  • Experience establishing or maturing an SRE function within an engineering organization
  • Experience with Kubernetes and cloud-native observability systems
  • Experience operating systems in regulated or compliance-driven environments
  • Experience with capacity planning, performance analysis, and cloud cost management
  • Background supporting shared infrastructure across multiple products or engineering organizations
  • Experience with building roadmaps in ticketing systems
  • Experience acting as a mentor for other engineers


$220,000 - $330,000 a year

#LI-DM2

#LD

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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About Shield AI

Shield AI is a defense technology company that develops artificially intelligent systems for military applications. The company was founded in 2015 by Brandon Tseng, Ryan Tseng, and Andrew Reiter, and is headquartered in San Diego, California. Shield AI's products include autonomous drones and software that can be used for reconnaissance, surveillance, and other military operations. The company's mission is to reduce the number of military casualties by providing soldiers with better intelligence and situational awareness. Shield AI has received funding from a number of investors, including Andreessen Horowitz and Founders Fund.
Learn more about Shield AI
Size
200 employees
Industry
Founded
2015

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