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Senior Platform Engineer

San Francisco, CA

About Sprig

Sprig is empowering the fastest-growing and largest companies to build digital products for people, not just data points. Our platform enables product teams to ask any question about their product, observe user interactions, and receive actionable product recommendations to drive success. Today, we’re proud to partner with industry leaders like Notion, Figma, Ramp, Robinhood, Coinbase, and TripAdvisor, helping them build world-class products.

As we continue our journey towards $100M in revenue and beyond, Sprig’s vision is to shape the future of autonomous product development, where products evolve and self-iterate in real-time. By automatically analyzing user experiences as they happen, Sprig AI will synthesize data and identify product improvements instantly, ensuring nearly flawless user experiences and driving the next wave of innovation in product management. 

As part of a new AI agent ecosystem, Sprig will collaborate with generative design and coding platforms to create a future where product teams will guide AI platforms in continuously adapting and improving products.

If you’re passionate about redefining how products are built and want to be part of a team that’s leading the future of autonomous product development, we’d love to have you join us. Learn more about our mission, values, and how you can be part of this exciting journey here.

About this Role

We’re looking for a talented Senior Platform Engineer to join our Data/Infrastructure Team. The Data/Infrastructure Team is responsible for designing, building, and maintaining the cloud platform that powers our core systems, ensuring the reliability, scalability, and security of our services. As a Senior Platform Engineer, you will take ownership of the platform’s infrastructure, driving initiatives to optimize performance, enhance automation, and ensure seamless deployment processes.

Your work will directly impact our ability to deliver high-performing, resilient, and secure platforms, enabling our teams to build innovative solutions that meet the needs of our customers and drive the growth of our business.

This role is based out of our San Francisco office 3 days per week. 

Your Impact

  • Led successful upgrades of core infrastructure tools and components, driving operational efficiency and system resilience.
  • Maintained data integrity and security across databases, safeguarding client trust and ensuring the accuracy of insights generated by our platform.
  • Enhanced platform scalability and performance by designing and developing robust, high-performing backend systems that drive business growth.
  • Provided strategic technical leadership, guiding teams through critical decisions while ensuring adherence to industry best practices.
  • Partnered closely with product teams as a data domain expert to drive the development of critical product features, shaping the future of our offerings.

Your Strengths

  • 5+ years of software engineering experience with a focus on platform, backend systems, data infrastructure, and distributed computing.
  • Experience with AWS services such as EC2, EKS, S3, RDS, Lambda, etc; Experience with AWS networking such as VPC. Familiar with AWS IAM and security best practices. Experience managing AWS resources using IaC (Infrastructure as Code) tools.
  • Experience managing and scaling Kubernetes clusters in production environments. Strong knowledge of container orchestration, service mesh such as Istio, and Kubernetes. networking. Experience with Kubernetes security (RBAC, network policies, pod security). Understanding of Helm charts for application deployments and management.
  • Proficiency with GitHub Actions or similar CI/CD tools for automating builds, testing, and deployments.
  • Experience designing infrastructure with high availability and fault tolerance in mind. Ability to ensure platform resilience and recovery in case of failure or outage.
  • Experience in optimizing cloud resource utilization (auto-scaling, spot instances, etc.) Proficiency in tuning Kubernetes clusters and cloud resources for cost and performance efficiency.
  • Proficiency in scripting languages like Go, or Bash for automation and tooling development.
  • Excellent written and verbal communication skills.
  • Quick learner, good team player.

Bonus Competencies, Skills, Experiences

  • Hands-on experience with CDKTF or Terraform for defining cloud infrastructure. Experience with GitOps tools like Flux for continuous deployment.
  • Experience implementing and maintaining monitoring stacks with Prometheus, Grafana, and Loki. Ability to set up alerts, dashboards, and logging systems for infrastructure and applications.
  • Hands-on experience with security compliance and audits in cloud environments such as SOC2.
  • Experience in low latency and high volume data stores and platforms is a big plus (experience with databases, APIs, API servers).

 

Benefits & Perks

  • Competitive Salary
  • Competitive Employee Equity
  • 401K Program
  • Medical, Dental, and Vision Benefits
  • FSA/HSA Benefit
  • $175/month Commuter Benefit
  • Additional Wellbeing Benefits
  • Flexible Paid Time Off
  • Paid Parental Leave
  • Professional Development Stipend
  • Hybrid Office Policy
  • Lunch available 5x a week in SF and NYC
  • Dinner available 4x a week in SF
  • Company Sponsored Social Events

At Sprig, we pride ourselves on being a people-first company, where your contributions truly matter and are valued. We were recently awarded by Fortune as top 50 best places to work in the US, and top 50 Places to Work in the Bay Area by Built In. Come join our mission of building products users love and have a real impact on Sprig’s future.

Our Commitment to Diversity and Inclusion

We prioritize diversity within our team and value different perspectives, educational backgrounds, and life experiences. We encourage people from underrepresented backgrounds to apply.

Employee Pay Disclosure

The base salary range for this full-time position is $180,000 - $210,000 + Equity + Benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all locations (San Francisco, CA; New York, NY). Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in postings reflect the base salary only, and do not include equity or benefits.

***Please beware of scammers who are posing as Sprig and Sprig team members. Our recruiters use @sprig.com email addresses exclusively. We do not conduct interviews via text or instant message, and we do not ask candidates to purchase equipment through us or solicit money from you. If you have been contacted by someone claiming to be from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.***

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