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Executive Software Engineer Startup Jobs in Missouri

Jobtailor

Staff Site Reliability Engineer

California, MO · On-site

$140 - $210/hr

Core Engineering: 10+ years of experience in SRE, DevOps, or Software/Systems Engineering ... Startup Mentality: Background driving high-impact engineering initiatives in high-growth startups ...

Voiceflow

Senior Software Engineer, iOS

California, MO · On-site

$175 - $190/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

THE ROLE This Senior Software Engineer, iOS role is central to Thrive Market's next phase of growth ... Join an engineering culture committed to moving from scrappy startup mode to mature systems mode ...

Jobgether

Our partner is looking for a Senior Software Engineer (Node & React, Headless API) based in ... Collaborate closely with business leadership and the CEO to translate product strategy into ...

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All JobsSoftware Engineer Startup JobsExecutive Software Engineer Startup JobsExecutive Software Engineer Startup Jobs in Missouri

Executive Software Engineer Startup information

What is the difference between Executive Software Engineer Startup vs Software Engineer Startup?

AspectExecutive Software Engineer StartupSoftware Engineer Startup
ResponsibilitiesTechnical leadership, architecture design, strategic planningCoding, debugging, implementing features
Required SkillsAdvanced programming, leadership, system designProficient coding, problem-solving
Experience5+ years, leadership roles preferred1-3 years, entry to mid-level
Work EnvironmentHigh-responsibility, strategic focusHands-on development, team collaboration

The main difference between an Executive Software Engineer Startup and a Software Engineer Startup lies in their responsibilities and experience. The Executive Software Engineer typically leads technical strategy and architecture, requiring more experience and leadership skills. In contrast, the Software Engineer focuses on coding and implementing features. Both roles are vital in startups, but the executive position involves higher-level decision-making and strategic planning.

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Executive Software Engineer Startup jobs near you

Staff Site Reliability Engineer

Jobtailor

California, MO • On-site

$140 - $210/hr

Other

Posted 8 days ago

Job description

  • System Resilience: Design, build, and maintain highly available, scalable, and secure infrastructure to support our AI-native cybersecurity platform.
  • Automation & Tooling: Develop internal tooling and automation to streamline deployment processes, incident response, and capacity planning.
  • Performance Engineering: Monitor system performance and proactively identify bottlenecks, optimizing infrastructure for low-latency, high-throughput AI workloads.
  • Incident Management: Lead incident response efforts, conduct post-mortems, and implement long-term solutions to prevent recurring reliability issues.
  • Infrastructure as Code (IaC): Manage infrastructure via code, driving consistency, auditability, and scalability across our cloud environments (e.g., AWS, GCP).
  • Cross-Functional Collaboration: Partner with sibling Engineering teams, Product, and Security teams to ensure reliability is baked into our development lifecycle from concept to production.
Requirements
  • Core Engineering: 10+ years of experience in SRE, DevOps, or Software/Systems Engineering, particularly in managing production systems at scale.
  • Cloud Infrastructure: Deep expertise in public cloud environments (AWS, GCP, or Azure) and managing services such as Kubernetes (EKS/GKE), networking, and storage.
  • Infrastructure as Code: Extensive experience with tools like Terraform, Pulumi, or similar technologies to manage complex infrastructure deployments.
  • Observability: Hands-on experience with monitoring, logging, and tracing stacks (e.g., Prometheus, Grafana, ELK, Datadog) to drive data-informed reliability decisions.
  • Distributed Systems: Solid understanding of microservices architecture, distributed databases, and event-driven systems.
  • Communication: Clear, concise communication skills and a bias for collaborative problem-solving.
  • Leadership Alignment: Proven track record of guiding multi-stakeholder initiatives and influencing engineering practices across teams.
  • Analytical Rigor: Strong problem-solving, debugging, and analytical skills, especially in high-pressure environments.
  • Domain Background: Prior work in cybersecurity, specifically regarding SIEM, EDR, or SOAR infrastructure is nice-to-have.
  • AI/ML Infrastructure: Experience supporting infrastructure for large-scale AI/ML workloads (e.g., GPU scheduling, LLM serving optimization) is nice-to-have.
  • Startup Mentality: Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS is nice-to-have.
  • Strong familiarity with Agentic Workflows such as Agno, Temporal, etc. is nice-to-have.
Core Competencies

Demonstrates expertise in designing and maintaining scalable, secure cloud infrastructure, with a strong focus on automation, performance engineering, and incident management. Proven ability to collaborate across teams and drive reliability in AI-native cybersecurity platforms.

Highest-signal resume keywords
  • 10+ Years Experience in SRE, DevOps, or Software Engineering
  • Deep Expertise in AWS, GCP, or Azure
  • Extensive Experience with Terraform or Pulumi
  • Hands-On Experience with Prometheus, Grafana, or ELK
  • Strong Problem-Solving and Analytical Skills
ATS Optimization Keywords Hard Skills
  • Infrastructure as Code
  • Performance Engineering
  • Incident Management
  • Cloud Infrastructure Management
  • Distributed Systems Understanding
  • AI/ML Infrastructure Support
  • Automation Development
  • Monitoring and Observability
  • Capacity Planning
  • Microservices Architecture
Soft Skills
  • Clear Communication Skills
  • Collaborative Problem-Solving
  • Leadership in Multi-Stakeholder Initiatives
Industry Keywords
  • Cybersecurity
  • AI-Native Platforms
  • High-Impact Engineering
  • Startup Mentality
  • Enterprise SaaS
Tools & Technologies
  • Kubernetes (EKS/GKE)
  • Prometheus
  • Grafana
  • ELK
  • Datadog
  • Terraform
  • Pulumi
  • Agentic Workflows
  • SIEM
  • EDR
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