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Salary: USD 200,000 - 230,000 / annual
Attentive is an AI marketing platform for 1:1 personalization that unifies SMS, RCS, email, and push notifications. The company serves 8,000+ customers across 70+ industries, including major brands like Crate and Barrel and Urban Outfitters, and has been recognized by Deloitte's Fast 500, Forbes Cloud 100, and LinkedIn's Top Startups.
As a Staff Software Engineer on the platform team, you will set technical direction for the compute and networking platform that underpins Attentive's microservices architecture. This is a hands-on technical leadership role focused on building reusable cloud components, clear interfaces, and self-service tools that improve infrastructure usability and operational safety.
Key responsibilities include:
- Shape technical direction and architecture of the compute and networking platform in partnership with engineering leaders
- Partner with engineering teams to understand workflows and pain points, building platform software, APIs, and self-service tools that reduce friction
- Lead complex cross-team initiatives, turning ambiguous requirements into designs, delivery plans, and measurable outcomes
- Evolve Kubernetes and networking infrastructure across multiple AWS accounts to support growth, resilience, and efficient resource use
- Own and improve Infrastructure-as-Code orchestration and reusable cloud components with consistent interfaces and guardrails
- Diagnose complex production issues and drive lasting improvements to system design, observability, and operational practices
- Improve platform reliability, scalability, and cost efficiency while reducing operational overhead
- Raise the engineering bar through hands-on development, design and code reviews, mentorship, and technical guidance
- Identify and establish effective AI-assisted engineering practices across the team
The platform runs on AWS and uses Kubernetes, Istio, Argo CD, Terraform, and Cloudflare at the edge.
Requirements:
- Significant experience designing, building, and operating large-scale infrastructure or distributed systems with demonstrated technical leadership across teams
- Strong software engineering background, including building maintainable software, tooling, or APIs that solve infrastructure problems
- Demonstrated ability to independently identify opportunities, bring clarity to ambiguous problems, and lead complex technical initiatives through delivery and production ownership
- Demonstrated customer empathy and ability to translate developer feedback into platform improvements
- Ability to evaluate architectural tradeoffs and build alignment across teams with different needs
- Deep experience with AWS or comparable cloud platform, Infrastructure as Code, and building reusable infrastructure abstractions
- Substantial experience operating Kubernetes in production, including understanding of architecture, networking, and failure modes
- Strong understanding of networking fundamentals across L3–L7 and experience diagnosing complex connectivity, routing, DNS, load-balancing, and service-to-service communication issues
- Experience in release engineering, including designing and improving CI/CD pipelines and enabling safe deployments
- Experience using observability to understand system behavior and troubleshoot production issues
- Experience using AI-assisted development tools with sound judgment in validating generated code
- Commitment to mentorship, constructive feedback, and continuous learning
