About the Role
The Staff Software Engineer on the platform team will help set the technical direction for the compute and networking platform that underpins Attentive’s microservices architecture. The role involves building reusable cloud components, clear interfaces, and self-service tools that make infrastructure easier to use and safer to operate.
This hands-on technical leadership role drives measurable improvements in platform reliability, cost efficiency and developer productivity. Responsibilities span identifying shared needs across teams, setting architectural direction, and leading complex initiatives from problem definition through production operation, balancing delivery speed with security and long-term maintainability
The platform runs on AWS and uses Kubernetes, Istio, Argo CD, Terraform, and Cloudflare at the edge.
What You’ll Accomplish
- 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.
Your Expertise
- 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.
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:
- The US base salary range for this full-time position is $200,000 - $230,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
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Skills Required
- Significant experience designing, building, and operating large-scale infrastructure or distributed systems
- Demonstrated technical leadership across teams
- Strong software engineering experience building maintainable software, tooling, or APIs for infrastructure problems
- Ability to independently identify opportunities, clarify ambiguous problems, and lead complex technical initiatives through delivery and production ownership
- Customer empathy and ability to translate developer feedback into platform improvements
- Ability to evaluate architectural tradeoffs, communicate decisions, and build cross-team alignment
- Deep experience with AWS or a comparable cloud platform, Infrastructure as Code, and reusable infrastructure abstractions
- Substantial experience operating Kubernetes in production, including its architecture, networking, and failure modes
- Strong understanding of L3-L7 networking and experience diagnosing connectivity, routing, DNS, load-balancing, and service-to-service communication issues
- Experience in release engineering, CI/CD pipeline design, automated software and infrastructure delivery, staged rollouts, and rollback and recovery
- Experience using observability for troubleshooting and reliability improvements
- Experience using AI-assisted development tools for implementation, testing, debugging, and documentation
- Sound judgment validating generated code and protecting sensitive information
- Commitment to mentorship, constructive feedback, and continuous learning
Attentive Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Attentive and has not been reviewed or approved by Attentive.
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision plans, plus a fully covered One Medical membership and mental health resources. Employer-paid options and added wellness stipends indicate strong support for physical and mental wellbeing.
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Equity Value & Accessibility — Equity grants are described as significant and a meaningful component of total compensation. Market-value cash pay paired with stock helps position overall packages as competitive.
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Parental & Family Support — Generous paid parental leave, fertility and family-forming benefits, and supports such as Milk Stork and travel reimbursement for necessary medical care are offered. These provisions signal robust support for families across different needs.
Attentive Insights
What We Do
Attentive® is the AI marketing platform for leading brands, designed to optimize message performance through 1:1 SMS and email interactions. Infusing intelligence at every stage of the consumer’s purchasing journey, Attentive empowers businesses to achieve hyper-personalized communication with their customers on a large scale. Leveraging AI-powered tools, a mobile-first approach, two-way conversations, and enterprise-grade technology, Attentive drives billions in online revenue for brands around the globe. Trusted by over 8,000 leading brands such as CB2, Urban Outfitters, GUESS, Dickey’s Barbeque Pit, and Wyndham Resort, Attentive is the go-to solution for delivering powerful commerce experiences for consumers with the brands they love. To learn more about Attentive or to request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.
Why Work With Us
At Attentive, you'll connect with inspiring, high-caliber people, and be encouraged to take risks, get creative, and think bigger. We're solving big problems for our customers, through our innovative AI solutions, giving employees the opportunity to thrive along the journey. The sky's the limit when it comes to what's possible.
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