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Senior SRE, Data Engineering

DISQO is changing the way that the world’s largest brands, agencies and consumer intelligence companies get to know their consumers. We’ve built the first identity-based platform that combines consumer attitudes and behaviors together to power the most accurate and predictive insights solutions for our customers, and we do all of that with the willing participation of our consumers and without using outdated technologies like third-party cookies. We help our customers get a cross-platform view into consumer sentiment, measure advertising effectiveness, analyze consumer purchase journeys, and ultimately grow their brands.

Our mission at DISQO is to engage people to share their opinions and behaviors openly to help our customers make the right decisions. With over one million active members sharing their attitudes and behaviors, DISQO is looking to expand, improve and create world-class applications for people to openly share their data for research.

Check out the DISQO Developer Blog for the latest from our DISQOTECH team.

This is a great opportunity to join a fun, exciting & highly motivated team and upgrade your skills while creating real impact. We use a modern tech stack and cloud infrastructure. We are not only looking for work experience, but rather the willingness to step up to challenges and the ability to learn quickly.

We believe the best software is written and managed by small teams that know how to make the impossible possible. We use agile software development techniques and modern tools to focus our efforts on solving our business goals. We use OKR’s to track everything we do. We deliver early and often. We obsess over our code, architecture, and infrastructure. And we believe that these practices lead to higher quality products.

Check out the DISQO Developer Blog for the latest from our DISQOTECH team.

What you will do:

  • Partner with a team of high-performing Data Engineerings who are focused on delivering best-in-class Data Products.
  • Function as a Change Agent to introduce and evangelize DevOps mindset, solving for availability, performance, capacity planning, cost-effectiveness, monitoring, and alerting.
  • Cultivate an automation-first attitude and work to champion code-centric solutions throughout our department to improve velocity and deliverability.
  • Participate in the design process, representing, solving, and planning for operational prism in the product roadmap.
  • Collaborate and communicate with cross-functional colleagues belonging to the same job family, to drive DevOps centric cross-org initiatives, tooling, and standards.
  • Tailor, Integrate, and deploy PaaS tools that allow product delivery teams to manage and support highly available infrastructure on AWS.
  • Build tools that empower capacity planning and demand forecasting, software performance analysis, and system tuning.
  • Lead incident response in collaboration with application owners and the platform team.
  • Develop tooling to surface the day-to-day health, uptime, and reliability of our cloud infrastructure.
  • Think long-term and avoid band-aids.
  • Identify unnecessary complexities and remove them.

What you bring to the table:

  • At least 4 years working in an SRE, DevOps, or equivalent engineering role, working closely with Data Engineering teams.
  • At least 3 years of production experience with AWS services or other Cloud technologies.
  • Expert in Linux architecture, microservices, and container orchestration (Docker, Kubernetes, etc).
  • Working with configuration management tools such as Terraform, Helm, Apache Airflow, Kafka/Kinesis, Elasticsearch, and/or similar tools.
  • Manage the infrastructure of a DataLake, a DataWarehouse, a DataMart, graph db, time-series db, object store, or other data services as required by the team.
  • Exposure to scylladb/DynamoDB and/or other similar NoSQL DB.
  • Experience managing multiple environments for Dev, Qa, Stage, Performance, and Production
  • Hands-on experience with application monitoring tools (ELK, DataDog, New Relic, SumoLogic, etc).
  • xperience with configuration management tools such as stimzi, ansible, is a plus.
  • Experience with building CI-CD Pipelines.
  • Great communication, collaboration, and representation skills.
  • Ability to team up with people from different disciplines and drive for a win-win.
  • Automation first mindset and orientation.

Perks & Benefits:

  • 100% covered Medical/Dental/Vision for employee, 80% for dependents
  • Equity
  • Unlimited Vacation
  • Flexible work hours·Catered lunches 3x a week
  • Stocked pantry
  • Happy Hours
  • Onsite Fitness Program
  • Discounted Gym Membership
  • Quarterly Offsites
  • 401K
  • Life Insurance
  • FSA
  • Paid Maternity/Paternity leave
  • Disability Insurance
  • Travel Assistance Program
  • 24/7 Counseling Services offered to employees

DISQO is an equal opportunity employer. Discovery, innovation, and growth are possible when we open ourselves to new possibilities, perspectives, and approaches. That’s why, at DISQO, we welcome, support, and empower individuals from diverse backgrounds. Exceptional teams are rooted in extraordinary people, each with a unique story and a compelling set of skills. DISQO does not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

*Recruiting firms that submit resumes to DISQO without first entering into a written contract will not be entitled to any compensation on candidates referred by that firm.





Job type



Data Engineering


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