Senior Platform Engineer - Infrastructure (USA)

Kalepa; New York (NY); Hybrid; USD 170,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Significant equity options

20 days of PTO

Global team offsites

Student stipend

Job summary

A cutting-edge technology company in New York seeks experienced engineers for an infrastructure role focusing on maintaining CI/CD pipelines and automating workflows. With a competitive salary ranging from $170k to $210k, this position offers significant equity options and the chance to work with a smart, global team dedicated to transforming the commercial insurance industry. Candidates should have at least 5 years of software engineering or DevOps experience, strong knowledge of Python, and familiarity with cloud technologies. Join us to make a meaningful impact as we grow.

Qualifications

• 5+ years of software engineering or DevOps experience.
• Strong fundamentals in system design and debugging.
• Experience with serverless technologies and cloud environments.

Responsibilities

• Maintain CI/CD pipelines and automate operational workflows.
• Ensure security and compliance with industry standards.
• Collaborate with engineering teams on standardizing environments.

Skills

Software engineering

DevOps experience

CI/CD pipelines

Problem-solving

System design

Python

Asynchronous workflows

Terraform

PostgreSQL

Docker

Job description

New York, NY. Remote US.

About Kalepa:

Commercial insurance is a trillion-dollar industry run out of Microsoft Outlook.

Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital.

Our Values (This is important):

Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees.

Success at Kalepa is bred from five core principles:

• Hustle & Grit – We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft. There are no easy days. Kalepa’s exceptional speed and determination are our biggest differentiators: this is how we win.
• Customer Focus – We will ruthlessly prioritize the work that drives our clients’ growth, profitability, and efficiency. We are not building things just because they seem cool - we are here to solve our customers’ most strategic problems.
• Meritocracy – Too many exceptional people are stifled by corporate bureaucracies. At Kalepa, those people excel – and we reward tremendous results with rapid promotions and compensation growth.
• Transparency – We are honest with each other. We don’t believe in back-office politics and keeping employees in the dark. Transparency allows us to instantly cut to the heart of the matter and figure it out together.
• Experimentation – For many of the problems we face, no company has ever solved them before. We tackle these by quickly testing, measuring, and iterating to determine the path to success.

In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena).

Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere.

About the role:

Salary range: $170k – $210k USD*

We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work. As part of the infrastructure team, you will work on the infrastructure and tooling that power our core platform. You’ll maintain CI/CD pipelines, automate operational workflows, and ensure we stay secure and compliant to the industry standards. Your day-to-day responsibilities will include improving infrastructure performance and reliability, monitoring and optimizing system cost, and collaborating with engineering teams to standardize environments and deployment patterns. You’ll help to maintain observability and incident response processes, and ensure the scalability of our cloud-based systems as we continue to grow.

You’ll collaborate with a global team of full-stack, data, ML, and DevOps engineers to build scalable backend solutions as we continue to grow. We're a small team where individual contributions have an outsized impact on both our technology and our business.

You'll be right at home if you:

• Have 5+ years of software engineering or dev-ops experience, ideally with time spent working on CI/CD pipelines, security, performance and infrastructure.
• Embody hustle and grit, you're excellent at your craft and relentless in pursuing it.
• Take full ownership of your work and drive projects to completion with minimal oversight.
• Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop.
• Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before.
• Have strong fundamentals in system design, debugging, and problem-solving.
• Know Python (our main stack), though we're open to strong candidates from other OO backgrounds.
• Have experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments.
• Are comfortable with relational databases, ideally PostgreSQL.
• Know terraform, IaaC best practices, Docker or similar tools.
• Bonus: experience with LLMs/generative AI, distributed systems

What you’ll get:

• Competitive salary (based on experience level)*.
• Significant equity options package.
• Work with an ambitious, smart, global, and fun team to transform a $1T global industry.
• 20 days of PTO a year.
• Global team offsites.
• Student stipend.

* The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.