About Us
SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.
AI at SharkNinja
At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers.
About the Role
At SharkNinja, we create intelligent, connected products that delight consumers and disrupt categories. We're growing our engineering teams across Firmware, Cloud, and Mobile App development, building systems that integrate hardware, software, and digital experiences using AI driven processes to help accelerate design, coding, and testing. Come help design and deliver cloud native solutions that power SharkNinja's connected device ecosystem. You'll build scalable backend services, IoT connectivity platforms, and APIs that enable seamless experiences between devices and mobile applications, working on the cloud infrastructure supporting SharkNinja's growing portfolio of connected products.
What You'll Do
Development and engineering
- Design and develop scalable cloud services and APIs that power SharkNinja's connected device ecosystem.
- Build IoT connectivity platforms using AWS IoT Core that enable reliable device to cloud communication for millions of connected products.
- Collaborate with mobile, embedded, and hardware teams to deliver end to end connected product experiences.
- Work with product management to define and refine product requirements.
- Implement distributed systems using Lambda, Docker, Fargate, and AWS services that integrate cloud infrastructure with mobile apps and connected devices.
- Write, execute, and automate tests to ensure reliability, performance, and consumer ready quality at scale.
- Monitor, debug, and optimize cloud infrastructure performance using CloudWatch for consumer scale deployment across diverse device ecosystems.
- Work closely with cross functional development teams spanning the entire software stack from embedded to mobile.
- Participate in code reviews and contribute to engineering best practices.
Technical collaboration
- Collaborate with senior technical leaders on cloud and IoT architecture decisions.
- Partner with QA, mobile, and firmware engineers to ensure seamless integration across the stack.
- Contribute to technical discussions and help refine engineering standards and patterns.
- Mentor junior and mid level engineers through code reviews and pair programming.
- Share knowledge and best practices with the broader engineering team.
Our Culture
At SharkNinja, we don’t just raise the bar—we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you’ll be right at home. Life At SharkNinja | Outrageously Extraordinary
We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what’s possible. When you join, you’re not just part of a company—you’re part of an outrageously extraordinary community. Together, we won’t just launch products—we’ll disrupt entire markets.
Required:
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience.
- 4+ years of experience in software engineering with a focus on cloud native development.
- Strong proficiency with TypeScript, Golang, and/or Python.
- Solid experience with AWS services including Lambda, IoT Core, DynamoDB, CloudWatch, and SNS/SQS.
- Experience with infrastructure as code tools, AWS CDK preferred.
- Understanding of full stack system architecture and cloud to mobile integration patterns.
- Experience working with cross functional development teams.
- Knowledge of IoT protocols and device connectivity, including MQTT, HTTP/REST, and WebSockets.
- Strong problem solving skills and the ability to debug complex distributed systems.
- Excellent collaboration and communication skills.
- A passion for creating consumer friendly, connected product experiences.
- Curiosity, adaptability, and a drive to be part of an A Player engineering team.
Preferred:
- Experience with AWS IoT Core, Kinesis data streaming, message queues (SNS/SQS), serverless architectures, and containerization (Docker).
- Prior work with connected devices, IoT ecosystems, or large scale device management platforms.
- Knowledge of BLE (Bluetooth Low Energy) and WiFi connectivity protocols.
- Experience with TypeScript, Python, Rust, Go, C/C++, or other systems programming languages.
- Comfort with AI assisted development workflows and modern developer tooling.
- Experience with AWS Bedrock, AI powered development tools, or prompt engineering for software development tasks.
- Background in robotics, consumer electronics, or smart home products.
- Contributions to open source projects.
- Experience mentoring other engineers.
Technical skills summary:
- Required: TypeScript, Python, and Go; AWS services including Lambda, DynamoDB, CloudWatch, and SNS/SQS; infrastructure as code via AWS CDK; IoT protocols including MQTT, HTTP/REST, and WebSockets; Docker for containerization; Git for version control; and AWS CodePipeline or similar for CI/CD.
- Nice to have: Rust and C/C++; AWS services including Kinesis, Step Functions, API Gateway, S3, and Athena; BLE and WiFi connectivity; distributed tracing alongside CloudWatch; and AI tools such as AWS Bedrock, Claude Code, and GitHub Copilot.
