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Staff Software Engineer, Compute and Network

  • Source: LinkedIn
  • TalentHop
  • Remote
  • United States
  • Full-Time
  • Staff

Job Description

This is a Fully Remote Job

About Our Client:

The organization operates in the AI marketing platform space, focusing on 1:1 personalization to transform brand and consumer connections. It combines technology and human expertise to create authentic customer relationships by unifying SMS, RCS, email, and push notifications. The platform delivers personalized experiences using real-time behavioral insights to improve performance, revenue, and loyalty. Serving over 8,000 customers across more than 70 industries, it supports leading global brands and handles billions of interactions that drive substantial revenue. The company has a distributed global workforce with hubs in multiple major cities and has received recognition for its performance and culture.

About the Opportunity:

The STAFF SOFTWARE ENGINEER, COMPUTE AND NETWORK, will define the technical direction for the compute and networking platform supporting the organization’s microservices architecture. This role is responsible for building reusable cloud components, clear interfaces, and self-service tools to simplify infrastructure use and enhance operational safety. The position directly impacts platform reliability, cost efficiency, and developer productivity by leading complex initiatives from design through production operation while balancing speed, security, and maintainability.

Responsibilities:

  • Shape technical direction and architecture of the platform in collaboration with engineering leaders.
  • Partner with engineering teams to understand workflows and pain points, building platform software, APIs, and tools to reduce friction.
  • Lead complex cross-team initiatives from ambiguous requirements to measurable outcomes.
  • Develop and evolve Kubernetes and networking infrastructure across multiple cloud accounts.
  • Own and improve Infrastructure-as-Code orchestration and reusable cloud components.
  • Diagnose and resolve complex production issues, driving improvements in design and operations.
  • Enhance platform reliability, scalability, and cost efficiency, reducing operational overhead.
  • Provide hands-on development, code reviews, mentorship, and technical guidance.
  • Implement AI-assisted engineering practices to improve productivity and maintain quality.

Requirements:

  • Extensive experience designing, building, and operating large-scale infrastructure or distributed systems with technical leadership.
  • Strong software engineering skills in developing maintainable infrastructure software, tooling, or APIs.
  • Proven ability to clarify ambiguous problems and lead complex initiatives through delivery and production.
  • Empathy for developers, translating feedback into platform improvements and measuring success.
  • Ability to evaluate architectural tradeoffs and align diverse teams.
  • Deep knowledge of AWS or comparable cloud platforms, Infrastructure as Code, and infrastructure abstractions.
  • Significant experience operating Kubernetes in production, including architecture and networking.
  • Strong understanding of networking fundamentals and troubleshooting complex connectivity issues.
  • Experience in release engineering and CI/CD pipeline design.
  • Proficiency with observability tools for system behavior analysis and reliability improvements.
  • Experience using AI-assisted development tools responsibly.
  • Commitment to mentorship and continuous learning.

Pay Range and Compensation Package:

  • The US base salary range for this full-time position is $200,000 - $230,000 annually plus equity and benefits.
  • Salary ranges are determined by role, level, and location.

Benefits & Perks:

  • Health and wellness benefits
  • Equity

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Skills

  • google-marketing-platform
  • Kubernetes
  • amazon-web-services
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