About Tamr
Tamr offers an AI-native Master Data Management (MDM) platform that helps enterprises create unified, accurate records across vast, complex data ecosystems. We accelerate the discovery, enrichment, and maintenance of golden records—clean, trusted, and continuously updated profiles—that enable informed decision-making and improved operational efficiency.
About the Role
We're looking for a Site Reliability Engineer to join our team and help build and maintain the platform services that power our infrastructure. You'll work with Go and Python to develop tooling, improve CI/CD pipelines, and manage containerized applications on Kubernetes. This role offers significant growth opportunities—you'll learn advanced SRE practices while contributing meaningfully from day one.
About the Team
You'll join our SRE team in Harvard Square (Cambridge)—one of the most important technical hubs in the world. Our team is a close-knit group of professionals who are always willing to teach and eager to learn. We've created a collaborative, supportive, and fun culture while doing serious work. With a small team, every member needs to contribute meaningfully and have a significant impact on the business. When you join, we'll work with you to find a project you're excited to finish—and one we're excited to have.
What to expect
You'll join a team of 4–5 people
You'll have a manager who will mentor you in your professional development
You'll have a tech lead who will support you with scheduling, architecture, and coding
You'll design, break down, and own stories for every sprint
Your code will be held to the same standard expected of every engineer
What You'll Do
Develop and maintain platform services and tools in Go and Python
Build and improve CI/CD pipelines using Jenkins
Deploy and manage containerized applications on Kubernetes
Write and optimize database queries and schemas in PostgreSQL
Collaborate with senior engineers on infrastructure automation
Participate in code reviews and contribute to team best practices
Monitor and troubleshoot platform services
Document systems, processes, and runbooks
Participate in on-call rotation
What We're Looking For
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
Proficiency in Python and Go, including familiarity with best practices and common frameworks
Understanding of object-oriented and functional programming concepts
Experience with version control using Git and GitHub workflows (pull requests, code reviews, branching strategies)
Basic understanding of containerization concepts and Docker
Basic knowledge of Linux/Unix command line and shell scripting
Familiarity with Jenkins or other CI/CD tools
Hands-on experience with at least one of the major public cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
Familiarity with relational databases and SQL (PostgreSQL experience is a plus)
Understanding of RESTful APIs and microservices architecture concepts
Understanding of monitoring and logging tools
Nice to Have
Hands-on experience with Google Cloud Platform services
Previous internship, co-op, or 1–2 years of professional software development experience
Experience with infrastructure-as-code concepts
Exposure to Kubernetes or container orchestration
Experience building Kubernetes Operators
Our Tech Stack
Cloud: Multi-cloud (GCP, AWS, Azure)
Infrastructure: Kubernetes, Helm, Istio, Docker, Terraform
CI/CD: Jenkins, FluxCD, Flagger, GitOps
Languages: Go, Python, Java, Kotlin
Data: PostgreSQL, BigQuery, Spanner, BigTable, Dataproc/Spark
What You'll Learn
Advanced Go programming and design patterns
Kubernetes architecture and operations
GCP services and cloud-native development
Building resilient, scalable platform services
Site reliability engineering practices
Infrastructure as code and GitOps workflows
Work Authorization
Applicants must be authorized to work for any employer in the United States. We are currently unable to sponsor or assume sponsorship of employment visas.
Additional Information
Tamr provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
