Remotery

Staff SDET

Posted 14 hours ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Quickly gain a thorough understanding of our complete data platform, including its architecture, data flows, business logic, and system interdependencies, to form the basis of a testing strategy;

• Collaborate with our application QA Engineering Team to comprehend our current testing strategies and tools; this insight will enable you to identify areas for improvement in data testing;

• Design, architect, and spearhead the implementation of an integration testing framework for the Organizer application's streaming data platform, ensuring it complements the existing infrastructure;

• Create automated validations that query and compare data across various storage systems (e.g., MongoDB, DynamoDB, Pinot) to guarantee end-to-end data accuracy;

• Integrate automated tests within CI/CD pipelines to set regression baselines and continuously validate the development of new features;

• Develop tests that meticulously account for eventual consistency, asynchronous processing, and time-sensitive behaviors inherent in distributed systems;

• Define and take ownership of the long-term quality and testing strategy for the data platform, aligning it with the organization's goals for reliability, observability, and engineering excellence;

• Assess, select, and integrate tools, frameworks, and technologies to enhance automation and data validation capabilities throughout the organization;

• Implement automated performance and throughput benchmarks for essential pipeline components and establish the standards for evaluating results;

• Engage in engineering design reviews with a quality-first perspective, ensuring that testability, observability, and data correctness are ingrained in systems from the outset;

• Actively identify, analyze, and resolve data quality issues and systemic reliability risks; collaborate with data engineers to implement solutions and preventative strategies;

• Lead post-incident reviews for data quality events, documenting clear timelines, facilitating root cause analysis, and ensuring follow-through on remediation action items;

• Mentor engineers across the data platform and QA teams, promoting testing best practices and enhancing the overall quality culture of the team;

• Advocate for the quality posture of the data platform in cross-functional technical discussions, influencing engineering standards across teams.


⛳️ Requirements

• Over 12 years of experience in software engineering, data engineering, or SDET roles, with a proven track record demonstrating strong software development fundamentals;

• Advanced proficiency in Python (or equivalent programming language) and experience in writing maintainable, production-quality code;

• Proven experience in designing and architecting complex test frameworks or automation systems, possessing strong, well-reasoned opinions on best practices;

• Extensive experience with streaming data pipelines, event-driven architectures, or distributed data systems (e.g., Kafka, Spark, Flink, or equivalent);

• Strong understanding of NoSQL databases (e.g., MongoDB, DynamoDB) as well as relational databases;

• Experience in testing or constructing systems in cloud-native, serverless environments (e.g., EventBridge, Lambda, asynchronous workflows);

• Familiarity with testing GraphQL or REST APIs;

• A genuine enthusiasm for testing as a discipline: someone who views quality engineering as a craft rather than merely a checkbox;

• Demonstrated ability to work with a high level of autonomy: capable of scoping ambiguous problems, formulating a plan, and driving toward outcomes independently;

• Established experience in influencing testing or quality strategy across teams or within an engineering organization;

• Excellent debugging and analytical capabilities in complex, distributed, data-intensive environments;

• Strong written and verbal communication skills, capable of documenting architectural decisions and presenting technical approaches to both engineering and non-technical stakeholders.


🏝️ Benefits

• Comprehensive health, vision, and dental insurance with 100% of premiums covered for you and eligible family members;

• Retirement benefits featuring a 5% employer match;

• A flexible unlimited PTO policy;

• Generous paid parental leave;

• Pre-tax commuter benefits;

• A company-provided laptop;

• A flexible remote work environment;

• A home office setup stipend for all new employees;

• Monthly reimbursement for expenses related to remote work;

• An annual professional development fund;

• Mental health and wellness benefits provided through Calm and Better Help;

• Annual in-person staff retreats;

• An inclusive culture that celebrates diversity, equity, inclusion, and belonging.

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