Staff Software Engineer, Compute and Network
AI in this role
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
#LI-MN1
By applying for this position, your data will be processed as per Attentive's Privacy Policy.
Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.How we rate this
Staff Software Engineer, Compute and Network at Attentive rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Get new AI jobs by email
One email a week with the new AI jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step