Attentive

Senior Software Engineer, Infrastructure

Job Description

About the Role
Our Platform Infrastructure team is the backbone of everything we do at Attentive, providing a resilient and cost-effective platform that seamlessly handles billions of events from over 100 million customers daily. We own everything from compute, persistence, and networking to observability and deployments. Joining our team offers a high-growth career opportunity to collaborate with some of the world’s most talented engineers in a high-performance, high-impact culture

We’re looking for a collaborative, self-motivated, and highly driven Software Engineer to join our Compute and Network team. Our team provides the compute and networking platform with reusable, opinionated cloud components and tools that follow well-defined patterns and opinionated interfaces. This gives engineering teams across Attentive safe, reliable leverage through strong guardrails and a stable underlying infrastructure. We are responsible for building and operating the core compute and networking infrastructure that underpins Attentive’s microservices architecture

Our platform is built on AWS and cloud-native technologies such as Kubernetes and its ecosystem, Istio, ArgoCD, Terraform-based Infrastructure as Code, and Cloudflare at the edge.


What You’ll Accomplish
  • Design, develop, and operate software that powers Attentive’s compute and networking platform, enabling automation, reliability, and scale
  • Analyze, troubleshoot, and resolve complex compute, networking, and platform infrastructure issues
  • Orchestrate and operate Kubernetes infrastructure across multiple networks and AWS accounts
  • Own our Infrastructure-as-Code orchestration that enables engineering teams to consume AWS services through automation and self-serve capabilities
  • Develop automation workflows and tooling that improve team efficiency and reduce operational overhead
  • Analyze and improve the efficiency, scalability, reliability, and stability of core system resources
  • Partner with other teams and business stakeholders to deliver business initiatives
  • Provide technical leadership by initiating impactful discussions, shaping design decisions, influencing best practices, and driving initiatives to completion with strong ownership
  • Collaborate with partner teams on large-scope engineering projects and facilitate alignment across teams on outcomes, priorities and timelines

    • Your Expertise
  • You have been working in the areas of Platform Engineering / Site Reliability Engineering / DevOps / Infrastructure for a while, and have a strong understanding of best practices
  • You have collaborated effectively across engineering teams, communicate clearly, and drive alignment on technical decisions
  • You have demonstrated ownership and accountability in designing, building, and operating critical systems
  • You have experience building infrastructure in a microservices architecture
  • You have a background in software development and are passionate about bringing that experience to bear on the world of infrastructure
  • You have strong experience with Infrastructure-as-Code and a preference for building self-serve cloud platforms
  • You understand the importance of CI/CD in building high-performing teams and have worked with tools like Jenkins, CircleCI, and ArgoCD
  • You are passionate about observability and worked with tools such as Datadog, Prometheus, Splunk or similar
  • You are very familiar with containers and container orchestration and have direct experience with vanilla Docker as well as Kubernetes as both a user and as an administrator
  • You have a strong understanding of networking fundamentals and can troubleshoot or design solutions across OSI layers (L3–L7)
  • You are committed to mentorship and continuous learning—willing to coach others while receiving feedback openly and using it to grow

    • What We Use
  • Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
  • Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
  • Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
  • Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
  • Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas

    • Apply Now
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