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Senior Full Stack Engineer (LatAm)

Kalepa Insurance Services, LLC

São Paulo

Teletrabalho

USD 75.000 - 110.000

Tempo integral

Há 2 dias
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Resumo da oferta

Kalepa is seeking a Senior Full Stack Engineer to join our innovative team in Brazil, where you will work on cutting-edge technology in AI and machine learning. This role offers the opportunity to solve complex problems while making a significant impact in the commercial insurance industry. If you have 5+ years of software engineering experience and enjoy tackling challenging issues within a global team, we encourage you to apply.

Serviços

Significant equity options package
20 days of PTO a year
Gym stipend
Mobile phone bill stipend
Continuing education credits

Qualificações

  • Minimum of 5+ years of relevant software engineering experience.
  • Experience in modern frontend frameworks, preferably React/Redux.
  • Experience with AWS and relational databases, preferably PostgreSQL.

Responsabilidades

  • Solve interesting problems related to data pipelines and machine learning models.
  • Collaborate with global teams including full-stack, data, ML, and DevOps engineers.
  • Build front end components and work on backend development.

Conhecimentos

Design
Debugging
Problem Solving
Front End Development
Backend Development
API Design
Working with Relational Databases
Serverless Technologies
Asynchronous Workflows

Formação académica

Bachelor's or Master's Degree in Computer Science or related field

Ferramentas

Docker
Git
Flask
NumPy
Pandas

Descrição da oferta de emprego

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About Kalepa:

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

Kalepa is upending this.

Our state-of-the-art AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions. Our AI is designed to deliver real results - insurers literally see massive improvements to their top and bottom lines as soon as they implement Copilot. That's why our clients call Copilot "truly an underwriter's dream" and proclaim that Copilot helps them "almost double the amount of accounts they can look at in the day."

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).

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: $75k – $110k USD*

We are looking for smart programmers who love to code, seek challenging problems and appreciate recognition for excellent work. As a core engineer you will step into a greenfield opportunity where your efforts will have a massive impact. You will be working on cutting edge tech including NLP, firmographic data, entity resolution and much more.

In this role you will work to solve interesting problems at the intersection of large and performant data pipelines, distributed systems, machine learning models, and robust infrastructure. You will be collaborating with a global team of full-stack, data, ML, and DevOps engineers who are considered polyglots flexing their ability to adapt as we scale.

You'll be right at home if you:

  • Have a minimum of 5+ years of relevant software engineering experience.
  • Have excellent development skills including design, debugging and problem solving.
  • Enjoy building front end components including end to end design/architecture.
  • You have experience in a modern FE framework – Preferably React/Redux.
  • You have experience in backend development and API Design.
  • You possess a bachelors or master's degree in computer science or a related field.
  • We primarily use Python3 however are open to seeing your code in other OO languages (Java, C++, C#, etc).
  • Experience with AWS as we work with serverless technologies and asynchronous workflow.
  • Have worked with relational databases with a preference for PostgreSQL
  • Have worked with some of the following tools: Docker, Git, GitHub, Flask, NumPy,Pandas.

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.
  • Gym stipend. Mobile phone bill stipend.
  • Continuing education credits.
  • 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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Insurance

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