Staff SDET

Murmuration

8h•$225,324•Remote

About The Position

As a Staff Software Development Engineer in Testing (SDET), you will embed in our Data Platform team as its senior-most testing authority, responsible for developing a deep understanding of our entire data platform and then designing and driving the implementation of the Organizer product’s automated integration testing strategy. This role is built for someone who is first and foremost a strong engineer - with substantial experience in software development and/or data engineering - and who brings a genuine passion for data quality and testing as a craft. This is a great opportunity to build something with significant impact from the ground up. You will be expected to quickly achieve mastery of our streaming data pipelines and distributed systems architecture, and then have the creative latitude to design and implement a comprehensive end-to-end test framework - with real organizational investment and impact behind it. You will influence testing strategy organization-wide, set technical standards, and serve as a force multiplier for the engineers around you.

Requirements

12+ years of experience in software engineering, data engineering, or SDET roles, with a track record that demonstrates strong software development fundamentals
Deep proficiency in Python (or equivalent programming language) and experience writing production-quality, maintainable code
Demonstrated experience designing and architecting complex test frameworks or automation systems with strong, well-reasoned opinions about how to do it well
Deep experience with streaming data pipelines, event-driven architectures, or distributed data systems (e.g., Kafka, Spark, Flink, or equivalent)
Strong command of NoSQL databases (e.g., MongoDB, DynamoDB) and relational databases
Experience testing or building systems in cloud-native, serverless environments (e.g., EventBridge, Lambda, asynchronous workflows)
Experience testing GraphQL or REST APIs
A genuine passion for testing as a discipline: someone who sees quality engineering as a craft, not a checkbox
Demonstrated ability to operate with a high degree of autonomy: to scope ambiguous problems, build a plan, and drive to outcomes independently
Proven experience influencing testing or quality strategy across teams or an engineering organization
Excellent debugging and analytical skills in complex, distributed, data-intensive environments
Strong written and verbal communication skills, with the ability to document architecture decisions and present technical approaches to both engineering and non-technical stakeholders

Nice To Haves

Experience with Scala and/or JavaScript
Experience with performance benchmarking, load testing, or throughput analysis
Experience with OLAP data stores (e.g., Pinot, Snowflake)
Familiarity with AWS (e.g., S3, Lambda, ECS, Lambda) and data orchestration tools (e.g., Airflow, Kafka, Spark)
Experience with monitoring/alerting tooling (e.g., Datadog)
Familiarity with Playwright

Responsibilities

Rapidly develop a comprehensive understanding of our entire data platform (its architecture, data flows, business logic, and system interdependencies) to serve as the foundation for a testing strategy
Work with our application QA Engineering Team to understand our existing testing strategy and tools; this will help you identify how you can fill the gaps in data testing
Design, architect, and lead the implementation of an integration testing framework for the Organizer application's streaming data platform, ensuring it is complementary to existing infrastructure
Design automated validations that query and compare data across multiple storage systems (e.g., MongoDB, DynamoDB, Pinot) to ensure end-to-end data correctness
Embed automated tests within CI/CD pipelines to establish regression baselines and continuously validate new feature development
Design tests that rigorously account for eventual consistency, asynchronous processing, and time-based behaviors inherent to distributed systems
Define and own the long-term quality and testing strategy for the data platform, aligning it with organizational reliability, observability, and engineering excellence goals
Evaluate, select, and integrate tools, frameworks, and technologies to advance automation and data validation capabilities across the organization
Implement automated performance and throughput benchmarks for critical pipeline components and own the standards by which results are evaluated
Participate in engineering design reviews with a quality-first lens, ensuring testability, observability, and data correctness are built into systems from the start
Proactively identify, investigate, and drive resolution of data quality issues and systemic reliability risks; collaborate with data engineers to implement fixes and preventative measures
Lead post-incident reviews for data quality events: authoring clear timelines, facilitating root cause analysis, and driving follow-through on remediation action items
Mentor engineers across the data platform and QA teams, establishing testing best practices and elevating the team's overall quality culture
Represent the data platform's quality posture in cross-functional technical discussions and influence engineering standards across teams

Benefits

Health, vision, and dental insurance with 100% of premiums covered for you and qualifying family members
Retirement benefits with a 5% employer match
A flexible unlimited PTO plan
Generous paid parental leave
Pre-tax commuter benefits
A company laptop
A flexible remote work environment
A home office setup stipend for all new employees
Monthly reimbursement for remote work expenses
A yearly professional development fund
Mental health and wellness benefits through Calm and Better Help
Yearly in-person staff retreats
A welcoming culture that celebrates diversity, equity, inclusion, and belonging