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Attentive

Staff Site Reliability Engineer

Sorry, this job was removed at 08:08 p.m. (PST) on Monday, May 19, 2025
Remote
Hiring Remotely in United States
156K-240K Annually
Remote
Hiring Remotely in United States
156K-240K Annually

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Attentive® is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to deliver 1:1 messages that truly resonate.

With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries. To learn more or request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.

Attentive’s growth has been recognized by Deloitte’s Fast 500, Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees!

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.

As part of the Infrastructure and Platform organization, the Production Engineering Team is focused on delivering a fast and reliable platform that empowers Attentive engineers to deliver solutions quickly and safely. We build scalable systems that automate routine tasks so we can focus on other impactful efforts. Reliability, scalability, and security are our areas of expertise. We focus on release, observability, and cost optimization. Our mission is to create robust platforms and tools that allow stakeholders to concentrate on delivering exceptional products.

As a Staff Engineer, you will take a strategic role in designing and implementing solutions that enhance the reliability and scalability of our systems, while mentoring others and influencing technical roadmaps across the organization.

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 Strategic Initiatives: Take ownership of cross-team collaborations and drive impactful projects by providing technical leadership and guidance
  • Partner Across Teams: Collaborate with engineers from AI/ML, Data, Platform, and Product teams to develop best-in-class services
  • Partner with engineers from AI/ML, Data, Platform, Product, and other groups to deliver best-in-class 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
  • Mentorship and Knowledge Sharing: Guide and mentor 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

  • 7+ years of experience in Production Engineering, Backend Engineering, SRE, DevOps or similar role
  • Proficient Problem-Solver: Strong coding ability in at least one language (e.g., Golang, Python, Java, Typescript) with the capability to solve complex issues through code
  • Track Record of Success: Demonstrated experience delivering medium to large-scale projects that drive meaningful improvements in platform reliability and scalability
  • Reliability Expertise: Deep understanding of production reliability concepts, including SLIs, SLOs, and incident management
  • Strong Communicator: Excellent verbal and written communication skills with the ability to influence and collaborate across technical and non-technical teams
  • Fast-Paced Experience: Familiarity with working in dynamic, reliability-focused production environments (preferred)

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, Kinesis, AirFlow, Postgres, Planetscale, 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

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 $156,000 - $240,000 annually + equity + benefits
- Equity is a substantial part of the total compensation package
- Our salary ranges are determined by role, level and location

#LI-JK1

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. 

Attentive San Francisco, California, USA Office

114 Sansome Street, San Francisco, CA, United States, 94104

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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