Guide the development and enhancement of major cloud systems and AI technologies for big business use. Push forward with new tech ideas, support and direct your team, and collaborate with various departments.

Key Responsibilities

Build fault-tolerant, horizontally scalable solutions in multi-tenant distributed cloud environments.
Drive the architecture and implementation of backend and full-stack systems using modern programming languages such as Go, Java, Python, or C++.
Develop and deploy AI native applications and multi-modal solutions, leveraging state-of-the-art models, tools, and frameworks (e.g., GenAI, LLMs, LangChain).
Integrate AI into existing systems and propose AI-enhanced solutions to a variety of business challenges.
Research, design, and build highly reliable and scalable platforms covering API design, model serving, and cloud infrastructure.
Lead code reviews, system optimization, and technical documentation efforts.
Mentor junior engineers and foster best practices in software architecture, coding standards, and DevOps.

Required Skills & Experience

BS/MS/PhD in Computer Science or Engineering or equivalent experience.
5+ years' experience building large-scale, low-latency distributed systems and cloud platforms.
Advanced skills in backend programming (e.g. Go, Java, Python, C++) and distributed data technologies (e.g. PubSub, Kubernetes, Redis).
Knowledge with cloud services (AWS/GCP), databases (SQL/NoSQL), and test-driven development.
Hands-on work with GenAI, LLMs, Prompt Engineering, and/or MLOps with experience building AI-oriented products.
Deep problem-solving and performance optimization skills; ability to work collaboratively across teams.
Exemplary communication and technical leadership abilities.

Attributes & Mindset

Self-motivated, accountable, and results-oriented with a “can-do” attitude.
Hungry for new challenges, fast learning, and continuous improvement in distributed and AI engineering.
Comfortable working in dynamic, high-growth environments that demand technical agility and rigor.

Example Technologies & Tools

Programming: Go, Java, Python, C++
Cloud: AWS, GCP, proprietary platforms
AI: MLOps, LLMs, Prompt Engineering, LangChain
Data: PubSub, Redis, Columnar/Parquet

Pendo Description:

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers -- a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software.

Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. You will gain experience in a diverse and exciting set of technologies and clients and have a real impact on Pendo's future. Our culture is passionate, dynamic, and fun.

EEOC

We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility

Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Compensation

Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide.

The expected salary range for this role to be performed in New York, NY is $160,000 - $180,000.

Individual pay rate decisions, including offers made within and over the expected salary range, are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.

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