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- Tasks: Design and maintain scalable data pipelines to support cancer care innovation.
- Company: Join Flatiron Health, a healthtech leader transforming cancer care through data.
- Benefits: Enjoy flexible work options, competitive pay, and a supportive team culture.
- Why this job: Be a changemaker in healthcare, collaborating with diverse experts to make a real impact.
- Qualifications: 5+ years in DevOps or SRE roles, strong skills in data engineering and cloud environments.
- Other info: Opportunity to work with cutting-edge technology in a mission-driven environment.
The predicted salary is between 43200 - 72000 £ per year.
We’re looking for a Site Reliability Engineer to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care?
Flatiron Health is a healthtech company using data for good to power smarter care for every person with cancer, around the world. Flatiron partners with cancer centers in the US, Europe and Asia to transform patients’ real-life experiences into real-world evidence and create a more modern, connected oncology ecosystem. Our multidisciplinary teams include oncologists, data scientists, software engineers, epidemiologists, product experts and more. Flatiron Health is an independent affiliate of the Roche Group.
What You’ll Do
We’re seeking a Site Reliability Engineer with a data engineering focus to help architect, build, and maintain reliable, scalable pipelines that form the foundation of our standardized data platform. You’ll partner closely with platform and data engineering teams to ensure that systems are robust, observable, and built with operational excellence in mind.
As an SRE embedded in the data space, you will:
- Design and build reliable, scalable, and maintainable data pipelines using Databricks , Airflow , and GitLab CI/CD
- Implement SLOs, SLIs, and monitoring for data pipeline health, latency, throughput, and quality
- Establish best practices and standards for data infrastructure (e.g. versioning, testing, rollout)
- Develop automation and leverage best-in-class AI tooling to reduce toil associated with orchestration, error detection, retries, and alerting
- Enable secure and scalable data access patterns and controls for data stores like Snowflake and Amazon RDS
- Collaborate with platform and application teams to guide infrastructure decisions for data workflows
- Optimize cost, reliability, and performance of data compute and storage layers in cloud environments (e.g. AWS)
- Participate in on-call rotations for the data platform stack and contribute to shared incident response processes
Who You Are
You’re an engineer with 5+ years of experience working in DevOps, platform engineering, data engineering, or SRE roles. You have a passion for building reliable systems and the curiosity to work at the intersection of data and infrastructure.
- Strong experience with workflow orchestration tools (Airflow preferred)
- Familiarity with Databricks , Spark , or other distributed compute platforms
- Experience building and maintaining CI/CD pipelines (GitLab preferred). Experience with data transformation projects (e.g. using dbt) a plus
- Competency in writing infrastructure-as-code (e.g. Terraform, Ansible, etc.)
- Proficient in Python or another scripting language used in data automation
- Experience designing and monitoring data SLAs and building systems that are observable and testable
- Familiar with cloud environments like AWS, including services like S3, IAM, EC2, and EMR
- Proficient with containerized deployments (e.g. using Docker. Kubernetes a plus)
- You value high-quality documentation and operational runbooks
- You’re collaborative, have strong written and verbal communication skills, and care about building systems that work for both engineers and the business
If this sounds like you, you\’ll fit right in at Flatiron.
Who We Are
Our people are at the center of everything we do. We strive to foster a culture where our teammates feel equipped and empowered to make meaningful contributions with confidence, compassion, and clarity. Visit the Life at Flatiron page to learn more.
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Senior Site Reliability Engineer – Data Platform Engineering employer: Flatiron Health
Contact Detail:
Flatiron Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Site Reliability Engineer – Data Platform Engineering
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Databricks, Airflow, and GitLab CI/CD. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight your experience with cloud environments, particularly AWS services like S3, IAM, and EC2. Be prepared to discuss how you've optimised cost and performance in previous roles, as this is a key aspect of the position.
✨Tip Number 3
Demonstrate your understanding of Site Reliability Engineering principles by discussing your experience with SLOs, SLIs, and monitoring systems. Prepare examples of how you've implemented these in past projects to ensure system reliability.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of how you've worked with cross-functional teams, especially in data engineering or platform engineering contexts. Emphasising your communication skills will resonate well with Flatiron's team-oriented culture.
We think you need these skills to ace Senior Site Reliability Engineer – Data Platform Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in DevOps, platform engineering, and data engineering. Emphasise your familiarity with tools like Airflow, Databricks, and GitLab CI/CD, as well as your experience with cloud environments such as AWS.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for building reliable systems and your curiosity about the intersection of data and infrastructure. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Your Technical Skills: In your application, include examples of your work with workflow orchestration tools, CI/CD pipelines, and infrastructure-as-code. Highlight any experience you have with data transformation projects and your proficiency in Python or other scripting languages.
Demonstrate Collaboration and Communication: Flatiron values strong communication skills. In your application, provide examples of how you've collaborated with cross-functional teams and contributed to documentation and operational runbooks. This will show that you can work effectively within their multidisciplinary teams.
How to prepare for a job interview at Flatiron Health
✨Showcase Your Technical Skills
Be prepared to discuss your experience with workflow orchestration tools like Airflow and your familiarity with Databricks. Highlight specific projects where you've built reliable data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Flatiron Health is focused on improving cancer care through data. Familiarise yourself with their mission and be ready to explain how your skills can contribute to this goal. This shows your genuine interest in the role and the company.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you had to optimise data workflows or troubleshoot issues, and be ready to share these examples in detail.
✨Emphasise Collaboration and Communication
Since the role involves working closely with multidisciplinary teams, highlight your collaborative experiences. Discuss how you’ve effectively communicated technical concepts to non-technical stakeholders, showcasing your ability to bridge gaps between teams.
