Sr Staff Engineer, Platform

Posted 3 Days Ago
Be an Early Applicant
San Francisco, CA
Senior level
Big Data
The Role
As a Sr Staff Engineer at Amplitude, you will design, automate, and optimize a Kubernetes-based platform, enhancing developer productivity and system reliability. Responsibilities include leading platform architecture, collaborating with cross-functional teams, integrating observability, promoting infrastructure-as-code, and mentoring fellow engineers.
Summary Generated by Built In

Amplitude is a leading digital analytics platform that helps companies unlock the power of their products. More than 3,500 customers, including Atlassian, Jersey Mike’s, NBCUniversal, Shopify, and Under Armour, rely on Amplitude to gain self-service visibility into the entire customer journey. Amplitude guides companies every step of the way as they capture data they can trust, uncover clear insights about customer behavior, and take faster action. When teams understand how people are using their products, they can deliver better product experiences that drive growth. 

As an organization, we approach challenges with humility, take ownership of our contributions, and embrace a growth mindset that pushes us to constantly improve ourselves, each other, and the value we bring to customers and partners.

Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.

Senior Staff Platform Engineer (Kubernetes)

About the Role:

We are looking for a highly experienced and collaborative Sr. Staff Platform Engineer to join our team. You will be responsible for the design, automation, and optimization of our Kubernetes-based platform, ensuring that it is scalable, easy to use, and reliable. This is a critical role for our company, and we are seeking someone who not only has deep technical expertise in cloud infrastructure and Kubernetes but also values mentoring, collaboration, and open communication. Your work will directly impact our developer productivity by building systems and abstractions that simplify the deployment of new workloads, making it easy for developers to focus on building features, not infrastructure.

In this role, you will help drive a cultural shift in how our Platform team operates, working to create positive relationships across the company, building trust, and making our platform easier to use. We value someone who listens, learns, and communicates effectively while still ensuring high technical standards and reliability.


Key Responsibilities:

  • Lead the design, implementation, and management of our Kubernetes-based platform, focusing on scalability, developer experience, and system reliability.
  • Architect and maintain automation around Kubernetes, ensuring that the platform is easy for developers to use and requires minimal toil to deploy or modify workloads in a self-service model.
  • Collaborate with cross-functional teams (developers, leaders, and other infrastructure teams) to gather requirements, build consensus, and deliver impactful solutions.
  • Integrate observability into the platform, using tools like Datadog, Prometheus, Grafana, New Relic, and Splunk to monitor system health and performance.
  • Drive infrastructure-as-code initiatives using tools like Kubernetes Operators, Helm, Kustomize, and Terraform promoting automation, repeatability, and reliability.
  • Ensure that the platform integrates seamlessly with CI/CD pipelines (using Argo CD / Workflows / Rollouts, Github Actions, Jenkins, or similar) and continuously improve developer workflows.
  • Contribute to the operational excellence of the platform, including on-call responsibilities and incident management, while building self-healing capabilities where possible.
  • Act as a mentor to other engineers on the team, promoting growth and knowledge sharing, ensuring that the team thrives even in the absence of specific individuals.
  • Foster a culture of collaboration, empathy, and trust within the team and across departments, helping to bridge gaps between engineering and other business functions.
  • Take a hands-on approach to problem-solving, sometimes submitting PRs to resolve issues in codebases or providing detailed solutions when teams need assistance.


What We’re Looking For:

  • 8+ years of experience in some combination of cloud-native software development, platform engineering, site reliability engineering, and/or cloud infrastructure, with a more recent focus on Kubernetes and the cloud-native ecosystem.
  • Strong expertise in Kubernetes and related CNCF projects (e.g., Argo CD/Workflows, Backstage, Envoy, CoreDNS, and more) and in simplifying complex cloud infrastructure for broader teams.
  • Operational experience at scale with technologies like Kafka and Airflow.
  • Proficient in common infrastructure languages like Golang, Python, and Terraform, with experience developing and operating production systems.
  • Extensive experience with AWS cloud infrastructure, networking, and security.
  • Proven experience with monitoring and observability tools (Datadog, Splunk, Prometheus, Grafana Cloud, etc.) and a strong understanding of system performance tuning.
  • Expertise in building abstractions over Kubernetes to simplify developer interaction with the platform.
  • Excellent communication skills, with the ability to collaborate across teams, build consensus, and drive initiatives in a high-pressure environment.
  • High level of empathy and patience, with a commitment to mentoring and helping others succeed, and the ability to incorporate feedback and turn it into actionable improvements.
  • Experience with infrastructure-as-code and automation (Terraform, Helm, Kustomize, etc.), with a focus on reducing toil and operational overhead.
  • A mindset focused on improving the developer experience and business alignment, with the flexibility to make decisions that may go against ideal technical preferences when necessary.

By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice.

Staying Safe - Protect Yourself From Recruitment Fraud
We are aware of individuals and entities fraudulently representing themselves as Amplitude recruiters and/or hiring managers. Amplitude will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Amplitude recruiting team will come from an @amplitude.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.

Top Skills

Go
Python
The Company
San Francisco
336 Employees
Year Founded: 2012

What We Do

At Amplitude, we’re on a mission to help product teams understand their users’ behavior so that they can build better products. We’ve built a product intelligence platform that enables anyone, regardless of analytics experience, to listen to what their users are telling them through user behavior. Founded in 2012, Amplitude is headquartered in San

Gallery

Gallery

Similar Jobs

San Mateo, CA, USA
2000 Employees
130K-280K Annually

ServiceNow Logo ServiceNow

Senior Staff Software Engineer, Platform Labs

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Hybrid
San Diego, CA, USA
26000 Employees
163K-285K Annually

Capital One Logo Capital One

Senior Platform Engineer, Workday (Integrations)

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
San Francisco, CA, USA
55000 Employees
125K-162K Annually
Remote
Hybrid
10 Locations
2674 Employees
191K-265K Annually

Similar Companies Hiring

Hex Thumbnail
Software • Business Intelligence • Big Data Analytics • Big Data • Artificial Intelligence • Analytics
San Francisco, CA
85 Employees
General Motors Thumbnail
Transportation • Software • Robotics • Manufacturing • Information Technology • Big Data • Automotive
Mountain View, CA
165000 Employees
Monte Carlo Thumbnail
Software • Cloud • Big Data Analytics • Big Data
San Francisco, CA
165 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account