Infrastructure Engineer

About Us :

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world's top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It's Like to Work at YipitData :

YipitData isn't a place for coasting—it's a launchpad for ambitious, impact-driven professionals. From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData :

• Ownership That Matters : You'll lead high-impact projects with real business outcomes
• Rapid Growth : We compress years of learning into months
• Merit Over Titles : Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose : We move fast, support each other, and aim high—always with purpose and intention

Who Thrives Here

We hire sprinters, not coasters—people who :

It's not for everyone, and that's intentional. If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you've been waiting for.

Why You Should Apply NOW :

About The Role :

We're looking for a Infrastructural Backend Engineer excited to join the Infrastructure & Tools team. Our AWS cloud infrastructure and developer tools allow engineers to quickly develop & release solutions that are secure, reliable, scalable, and cost-efficient . Our responsibilities include :

This team has been building cloud platforms and developer tools for almost a decade and is one of the reasons our engineering group has been so lean as our company scales. We own common infrastructure and abstractions so teams can manage their resources independently and build apps efficiently. Because of our work, engineers are able to independently :

Day-to-day work on this team is interdisciplinary and can range from implementing new features to the platform, performing Infra updates with limited downtime, and supporting engineering team initiatives with new and noble solutions. The Infrastructure team is a mission critical team that enables multiple engineering teams to be efficient and productive.

Standard IST working hours are permitted with the exception of 2 - 3 days per week, when you will join meetings with the US and LatAm team. On these days, work hours will be between 2 : 30 - 10 : 30pm IST. (Please note that we allow for flexibility on the following days to make up for the previous day's late work schedule!)

As Our Infrastructure Backend Engineer You Will :

You Are Likely To Succeed If you have :

You are comfortable working with new cloud technologies and learning new skills

What We Offer :

Our compensation package includes comprehensive benefits, perks, and a competitive salary :

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

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Skills Required

S3, Airflow, Rds, Cloudformation, CDK, Vpc, Datadog, Django, React, Ec2, Cloudwatch, Terraform, Iam, ECS, Sqs, Databricks, Kubernetes, Python, Aws