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Responsible for the reliability and scalability of production services, focusing on incident response, root cause analysis, automation, and collaboration across teams.
Top Skills:
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Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.
Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.
With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index!
About the Role
What You’ll Accomplish
- Design and deliver high-impact solutions: Design and implement systems that enhance reliability, observability, traceability, and incident management, ensuring the platform scales effectively
- Lead execution on key projects: Take ownership of projects, driving them from discovery through execution
- Partner across teams: Collaborate with engineers from AI/ML, Data, Platform, and Product teams to develop best-in-class platforms and services
- Establish standards and best practices: Define and enforce production standards, processes, and tools to ensure operational excellence
- Champion reliability goals: Advocate for and implement SLIs, SLOs, and other reliability-focused metrics across the engineering organization
- Mentor and knowledge share: Guide and mentor junior team members, fostering technical growth and helping to develop the next generation of engineering leaders
- Innovate and inspire: Drive continuous improvement by bringing creative ideas and challenging the status quo
Your Expertise
- 5+ years of experience in Production Engineering, SRE, Platform Engineering, DevOps, Backend Engineering, or similar roles
- Strong coding ability in at least one language (e.g., Golang, Python, Java, Typescript) with the capability to solve complex issues through code
- Experience with cloud-native technologies and Infrastructure-as-Code (e.g. Kubernetes, Terraform, AWS)
- Demonstrated experience delivering medium to large-scale projects that drive meaningful improvements in platform reliability and scalability
- Deep understanding of production reliability concepts, including SLIs, SLOs, and incident management
- Proficient in designing and maintaining CI/CD pipelines, deployment strategies, and release automation to enable fast, safe delivery
- Fluency in frontier AI-assisted development tools and agents (Claude Code, Codex, Cursor, or similar)
- Excellent verbal and written communication skills with the ability to collaborate across technical and non-technical teams
- Familiarity with working in dynamic, reliability-focused production environments (preferred)
What We Use
- Our services run primarily in Kubernetes, hosted on AWS EKS
- Our tooling includes Terraform, Helm, ArgoCD, Istio, CloudFlare, Datadog, and Incident.io
- Our backend is primarily Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, and Redis
- 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
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 $220,000 - $250,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
#LI-EF1
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.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
