Staff Software Engineer, Compute and Network

Attentive is an AI marketing platform for 1:1 personalization that helps brands build customer relationships through SMS, RCS, email, and push notifications. The Staff Software Engineer will set the technical direction for the compute and networking platform, build reusable cloud components and self-service tools, and lead initiatives that improve platform reliability, cost efficiency, security, and developer productivity.

Responsibilities:

• Shape the technical direction and architecture of Attentive’s platform as part of the compute and networking team, partnering with engineering leaders to prioritize investments
• Partner closely with engineering teams to understand their workflows and pain points, and build platform software, APIs, and self-service tools that reduce friction and help them deliver reliable services faster
• Lead complex initiatives across teams, turning ambiguous requirements into designs, delivery plans, and measurable outcomes
• Evolve Kubernetes and networking infrastructure across multiple AWS accounts and networks to support growth, resilience, and efficient resource use
• Own and improve Infrastructure-as-Code orchestration and reusable cloud components, providing consistent interfaces and guardrails for consuming AWS services
• 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 for the platform team and its users
• 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, improving productivity while maintaining code quality, security, and operational reliability

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, adapting to evolving needs and shaping technical direction in a fast-changing environment
• Demonstrated customer empathy, with the ability to translate developer feedback and observed pain points into platform improvements and assess success through adoption, ease of use, and customer outcomes
• Ability to evaluate architectural tradeoffs, communicate decisions clearly, and build alignment across teams with different needs and priorities
• Deep experience with AWS or a comparable cloud platform, Infrastructure as Code, and building reusable infrastructure abstractions
• Substantial experience operating Kubernetes in production, including an understanding of its 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, automating software and infrastructure delivery, and enabling safe deployments through testing, staged rollouts, and reliable rollback and recovery
• Experience using observability to understand system behavior, troubleshoot production issues, and guide reliability improvements
• Experience using AI-assisted development tools to accelerate implementation, testing, debugging, and documentation, with sound judgment in validating generated code and protecting sensitive information
• Commitment to mentorship, constructive feedback, and continuous learning