Job Description

Are you ready to join Connecticut Innovation’s vibrant community of innovators? Connecticut Innovations (“CI”) is Connecticut’s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech.

Come join Noteworthy AI - Routine fleet operations. Extraordinary grid insights as a Data Engineer!

Noteworthy AI Overview

At Noteworthy AI, our mission is to improve the reliability, resiliency, and safety of the electric grid. Our vehicle-mounted cameras and AI help utilities and other grid operators increase their situational awareness of their assets while reducing costs. Our platform autonomously geolocates, photographs, and analyzes grid infrastructure as vehicles drive during routine operations, enabling more proactive grid management.

We’ve gained significant market traction, validation, and support from customers like Florida Power & Light , FirstEnergy Corp , and Alabama Power , investors like Earthshot Ventures and Techstars , and partners like Nvidia - so we are looking for great people to come and join our growing team! 🚀

We currently operate on a hybrid schedule based in our New Haven, CT office, facilitating in-person collaboration among team members.

About You

You’re a builder at heart who thrives on creating reliable, scalable infrastructure that supports real-world impact. You’re excited to be part of a fast-growing startup that’s helping to modernize and secure the electric grid.

You enjoy working cross-functionally, are comfortable navigating AWS and DevOps tooling, and take pride in keeping things running smoothly behind the scenes.

You’re proactive, adaptable, and not afraid to own your work—from deploying customer environments to tightening up internal security practices.

Bonus points if you also have:

• A knack for simplifying complex deployment processes through automation
• A passion for clean, well-documented infrastructure and tooling
• Experience supporting ML pipelines and data workflows in development and production
• Creativity, the ability to wear multiple hats, and to collaborate with a growing, diverse team

Job Responsibilities

• Lead and manage customer environment deployments : Execute multi-step deployment workflows in AWS, including VPC setup, VPN access configuration, SSL/TLS certificate management, load balancer and DNS configuration, and service initialization
• Automate and scale infrastructure setup : Maintain and improve infrastructure automation scripts and tooling to simplify the deployment of backend services and cloud resources as we take on more customer projects
• Own internal and customer-facing AWS environments : Manage and maintain dev, staging, and production environments, ensuring engineers have the necessary access and resources
• Support data and ML workflows : Collaborate with ML and Edge engineering teams to maintain and update cloud-based processing pipelines as algorithms evolve
• Coordinate application version rollouts : Deploy and manage versions of the React frontend and backend services across multiple environments
• Contribute to security and compliance efforts : Own our SOC 2 readiness process from the ground up—including planning, implementing controls, documenting policies, and coordinating audits
• Collaborate cross-functionally : Work closely with ML, Edge, and software engineers to align deployment processes with development workflows

Qualifications

• 3+ years of experience in DevOps, Cloud Infrastructure, or Platform Engineering roles
• Strong hands-on experience with AWS (IAM, VPC, Lambda, Step Functions, ACM, ECS/Fargate, Route 53, S3, etc.)
• Proficiency in scripting for automation (e.g., Python, Bash)
• Experience with infrastructure automation and deployment tools (could include homegrown scripts, or tools like Terraform, Pulumi, etc.)
• Familiarity with networking and cloud security best practices (e.g., VPNs, SSL certificates, load balancer security rules)
• Experience managing full-stack deployments (frontend + backend) across multiple environments
• Experience with compliance frameworks, such as SOC 2
• Excellent communication and collaboration skills

What We Offer

• Competitive salary, equity, and benefits
• Opportunity to make an impact with AI in the increasingly important energy sector
• Professional development and leadership opportunities
• Flexible work hours in a hybrid setting

In alignment with our core beliefs, Noteworthy AI is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

This position is subject to a pre-employment background check.

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