Lead Site Reliability Engineer, DISQO
+ Equity
Audience insights platform
Be an early applicant
Audience insights platform
201-500 employees
Be an early applicant
+ Equity
201-500 employees
Company mission
To empower businesses and organizations to drive better brand growth.
Role
Who you are
- 6+ years of experience in Site Reliability Engineering, DevOps, or similar infrastructure-focused roles
- 2+ years of experience leading technical teams or initiatives
- Strong experience with AI/ML tools and frameworks applied to operational use cases (anomaly detection, predictive analytics, NLP)
- Hands-on experience implementing AI-powered monitoring, alerting, and automation solutions
- Strong programming skills in Python with experience in AI/ML libraries
- Extensive experience with cloud platforms (AWS, GCP,) and their AI/ML services
- Knowledge of prompt engineering, LLM integration, and building AI-powered operational tools
- Proficiency with infrastructure as code and configuration management with AI-enhanced workflows
- Experience with time series analysis, statistical modeling, and predictive analytics for infrastructure metrics
- Deep understanding of monitoring and observability tools enhanced with AI capabilities
- Experience with CI/CD pipelines incorporating AI-driven quality gates and automated decision making
- Strong knowledge of networking, distributed systems, and database technologies
- Expert level knowledge in following domains: AWS ( core services, networking, compute, databases, storage, etc.. ) TerraformKubernetes / Karpetner / Helm
- Strong experience building in-house observability platforms, including: OpenTelemetryLokiGrafanaPrometheusAWS CloudwatchAWS X-Ray or Jaeger
- Experience in ArgoCD / ArgoWorkflow will be big plus
- Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience
Desirable
- Advanced experience with large language models (LLMs) for operational documentation, code generation, and incident response
- Experience with automated incident response systems using AI decision engines
- Experience with microservices architecture and intelligent service mesh management
- Familiarity with AI-powered security tools and anomaly detection for infrastructure protection
- Experience building and maintaining AI-driven dashboards and reporting systems
- Experience with AI-powered cost optimization and resource right-sizing tools
- Certification in relevant cloud platforms
What the job involves
- We are seeking an experienced Lead Site Reliability Engineer to join our engineering team and drive the reliability, scalability, and performance of our production systems through innovative use of AI and automation
- In this role, you will lead SRE initiatives, mentor team members, and leverage AI technologies to enhance operational excellence, predictive maintenance, and intelligent automation across our infrastructure
- Technical Leadership:
- Design and implement comprehensive monitoring, alerting, and observability solutions, leveraging AI for intelligent anomaly detection and root cause analysis
- Lead incident response efforts using AI-assisted diagnostics and automated remediation, conduct post-mortems, and drive systemic improvements
- Develop and maintain service level objectives (SLOs) and error budgets with AI-powered predictive analytics to forecast reliability risks
- Architect and implement intelligent automation solutions for deployment, scaling, and infrastructure management using machine learning models
- Drive capacity planning and performance optimization using AI forecasting models and predictive analytics
- AI-Enhanced SRE Leadership:
- Implement and maintain AI-powered incident prediction and prevention systems
- Design intelligent alerting systems that reduce noise and provide contextual insights using natural language processing and machine learning
- Develop AI-driven capacity planning models that predict resource needs and optimize cost efficiency
- Build and maintain chatbots and AI assistants for operational tasks, documentation search, and incident triage
- Implement automated root cause analysis using AI correlation engines and log analysis
- Team Leadership & Collaboration:
- Mentor junior SREs on integrating AI tools and practices into traditional SRE workflows
- Partner with engineering teams to embed AI-enhanced reliability principles into the software development lifecycle
- Lead cross-functional initiatives to implement AI-driven operational improvements
- Collaborate with data science teams to develop custom AI models for operational use cases
- Participate in on-call rotations while developing AI systems to minimize toil and improve response efficiency
- Strategic Initiatives:
- Develop and execute an SRE roadmap aligned with business objectives and technological advancement
- Evaluate and implement new AI tools and technologies to improve system reliability, security and operational efficiency
- Drive adoption of AI-powered engineering and predictive failure testing
- Establish metrics and reporting using AI analytics to demonstrate the business value of intelligent reliability investments
Our take
DISQO is a consumer insight exchange platform, providing data on consumer activity to businesses that they can use to inform marketing and product development decision-making.
The company was founded with the intention of creating the most trusted insights platform for market research and ad measurement. Unlike competitors, DISQO's business model revolves around a win-win outcome for both consumers and marketers, with consumers willingly selling their data for rewards, and marketers using an ethical and sustainable provider to gain insight into consumer behaviour without losing valuable PR points.
DISQO boasts an impressive client list spanning market researchers, ad agencies, and global brands. After receiving substantial funding in 2021, the company acquired Feedback Loop in 2022, a product research platform. This buyout enabled DISQO to deliver comprehensive insights into brand, product, and customer experiences for any kind of organization, and facilitate its continued expansion across the space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-21% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Aug 2021
$85m
SERIES B
Aug 2018
$13.5m
SERIES A
Total funding: $101.5m
Company benefits
- Focus on impact, not the clock. WFH with a flex schedule and unlimited vacation. Recharge and spend time with those who matter most
- 100% coverage of employees’ medical, dental and vision insurance premiums (80% for dependents). And other wellness programs!
- Proudly supporting parents with time off and resources for welcoming new additions
- Every person on the team is an owner. We’re all in this together and offer competitive equity to every new hire
Company HQ
Downtown, Glendale, CA
Leadership
Armen Adjemian
(CEO & Co-Founder)Having worked as a PwC Associate, they founded Venture Group in 2005, before roles at Glendale Water and Power and being CEO of Blue Media Ventures.
Drew Kutcharian
(CTO & Co-Founder)They worked as a Consultant before co-founding Venarc as CTO and taking on several Advisory roles before co-founding DISQO.
Armen Petrosian
(Chief Growth Officer & Co-Founder)They took an MBA at USC before working as CEO of VentureCorp and CMO of Blue Media Ventures, before leaving to start DISQO in January 2016.
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