Engineering at Peak
We're building a game-changing AI platform that optimizes product inventory and pricing. Join us on our journey.
Push the boundaries of technology
Our teams leverage cutting-edge tech to ensure our platform is robust, scalable, delivers an exceptional user experience and faster time to value.
In engineering, our product development efforts are focused on providing business users and power users of our product with a world-class experience. Peak believes that every organization needs its own AI, and our product has been built from the ground up to achieve that. This innovative platform empowers users to build and deploy intricate AI solutions in weeks, not years.
AI isn't just a feature we've added to our products — it's the heart of what we do at Peak. We've built our entire platform around AI from the ground up. This means Peak can work right at the forefront of innovation, which is very exciting. Our products help some of the worlds best companies, using everything from traditional statistics and time series analysis to classical machine learning, optimization problems and applied generative AI.
Work on an industry-leading AI platform
The Peak platform is capable of handling terabytes of data, managing inbound and outbound data integrations and developing comprehensive AI/ML products that address specific business needs.
Our platform allows Peak to integrate seamlessly into our customers’ existing ecosystems, leveraging their first-party data to provide a significant competitive advantage. Our engineering team also contribute to the integrations and work we do with our partners including AWS, Snowflake, SAP and UiPath.
We adhere to industry-leading software development practices, utilizing microservices and micro-front end architectures, among many other advanced methodologies.
Our major tech stack includes
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Processing, orchestration and back end
Kubernetes and Lambda on AWS
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Programming tools
Node.js and React
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Monitoring and observability
Prometheus and the ELK stack
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CI/CD tools
Terraform, Helm, GitHub Actions and AWS CloudFormation
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Data tech
Redshift, Snowflake, PostgresQL and DynamoDB
Our engineering roles
What does it mean to be an engineer at Peak?
- AI Engineering
- ML Engineering
AI Engineering
Peak’s AI Engineering team is responsible for building and delivering our Inventory AI and Pricing AI products. This team is also responsible for Peak’s agentic assistant, Co:Driver.
Delivering these products requires prioritizing innovation, scalability, accuracy, user experience, collaboration, agility and a unique approach to building software. Peak’s products can be heavily customized to allow them meet the unique requirements of individual businesses, and leverage customers’ data to train and fine-tune the ML algorithms that are part of our products.
Our tech stack includes the latest technologies and frameworks, including (but not limited to) Dash, FastAPI, DBT etc. We heavily use Python for our in-house built AI models. Peak’s products work with various data sources like Amazon S3, Amazon Redshift, Snowflake, Snowpark with easy integration powered by the Peak platform. It also provides various out-of-the-box and cutting-edge AI models to cater for individual business use case(s).
ML Engineering
As a machine learning engineer at Peak, you’ll see your work deployed and used in multiple projects by some of the world’s biggest brands and businesses, as you help shape the future of the Peak platform. You’ll be tasked with supercharging our platform for its users through by deploying innovative tools and AI applications.
You’ll get to work with the full stack of machine learning software development, including data architecture and frontend development. As a part of this team, you’ll bring enthusiasm for all things machine learning and data, with the interest and drive to advance your own data and ML knowledge, software skills and product development practices.
I’ve learned firsthand the importance of taking ownership of projects and delivering work of the highest quality. The collaborative environment here fosters innovation and growth, allowing me to thrive professionally.
Working on solutions for complex business problems has allowed me to utilize many cutting-edge tools and technologies. The culture, technology and people at Peak have been instrumental in my development.
As an MLE the only constant is change, which is quite fun if you’re into fast-paced problem-solving. You get to be involved with the whole process of creating products, from scoping it out with the product managers and designers all the way to implementing the technical solution and then giving it to end users.
Peak’s engineering environment has been fantastic for both learning and fun. The company prioritizes using the latest tech stack, and there’s a constant push to keep it optimal. Overall, Peak has provided a truly enriching experience in terms of knowledge and growth.
The trajectory of my learning at Peak has been exponential, supported by the company’s strong emphasis on professional development through regular manager catch-ups and personal development plans. The culture at Peak is uniquely balanced, fostering a high-performance environment while providing robust support, achieving an exceptional equilibrium that is seldom found elsewhere.
At Peak, I’ve overseen AWS Cloud management, infrastructure modernization, cost optimization and rigorous security implementations. I’ve had the opportunity to utilize advanced DevOps tools and technologies, conduct POCs for emerging solutions and seamlessly integrate them into our production environment.
In the ocean of tech, Peak has been my life jacket. My experience here has been amazing. Peak gives you enough freedom to explore the latest technologies and how we can adapt those technologies based on different use cases.
I’ve been able to develop my scripting skills to enable the team to quickly perform otherwise more mundane or long tasks or solve common issues. Peak’s allowed me to gain experience with Kubernetes, Docker, Terraform, amongst many other tools along the way. Being able to work on tasks outside of tickets is fun and challenging.
Platform engineering, for us, integrates a range of technologies, tools, processes, and practices seamlessly. Peak provides developers, AI engineers and data scientists with frictionless self-service capabilities while minimizing cognitive load by abstracting system complexities and automating infrastructure operations. This approach enhances the developer experience and delivers quicker value to our customers.
Take your next step
If you like what you see, take a look at the opportunities below across our global clubhouses.