Full Stack Developer

Ignite Your Future at Electric Mind  

Why Engineering at Electric Mind 

At Electric Mind, Engineering is where strategy meets action. Our team helps organizations cut through complexity—aligning business ambition with technology execution to unlock real, lasting change. You’ll work alongside curious, driven people tackling high-impact challenges for everyone from scaling startups to global enterprises. Each engagement is different, pushing you to learn, adapt, and grow. 

The Role 

We are excited to be expanding our Engineering team with Intermediate and Senior Developers. Here, you’ll develop enterprise and consumer-facing applications in a collaborative, Agile environment grounded in the values of Extreme Programming: feedback, respect, courage, communication, and simplicity. Embedded in virtual project rooms, you’ll work closely with cross-functional teammates and clients alike while having the opportunity to help build both software and momentum—contributing at a pivotal moment in our journey. 

What You'll Do

• Design and build high-quality data architectures and pipelines that are scalable, extensible, and production-ready 
• Provide strategic guidance across data modeling, analysis, visualization, and the implementation of robust data solutions 
• Estimate work, break down tasks, and rapidly prototype to de-risk delivery and inform decisions 
• Collaborate closely with cross-functional teammates to shape, design, and deliver software features end to end 
• Contribute to the full lifecycle of data consulting engagements, delivering on time and on budget while meeting or exceeding client expectations 
• Continuously explore, evaluate, and apply emerging technologies and best practices to improve how we work 
• Partner with clients and internal teams to clarify requirements and translate business needs into effective technical solutions 

What You'll Bring

• Proven experience designing and developing complex applications that are highly scalable and extensible
• Fluent in Java and React
• Significant cloud platform experience, preferably with AWS or Azure
• Strong fundamental knowledge of computer science algorithms, data structures and design patterns
• Experience designing distributed systems at scale handling large data sets leveraging Apache Spark, Kafka, Kinesis, and Hadoop toolsets
• Experience with Infrastructure as Code such as Terraform
• Attention to well-crafted software

$100 - $140 a year

What You’ll Gain

You will gain hands-on experience building a wide range of enterprise and consumer-facing applications within a highly collaborative, environment grounded in Extreme Programming values. You’ll work closely with cross-functional teams and clients in interactive project settings while continuously learning and growing through knowledge sharing, mentorship, educational sessions, study groups, and hands-on R&D initiatives, all within a strong engineering culture that values craftsmanship, curiosity, and community.

About Electric Mind

Electric Mind is a fast-growing, AI-native advisory and digital engineering firm built for those who want to shape the future, not just watch it happen.  

We blend premium strategy expertise with cutting-edge AI-centric engineering to solve complex, meaningful problems for industry-leading clients.  

We pride ourselves on a high-touch delivery model and a culture that values diverse talent, innovation, and true client partnership — creating an environment where your ideas matter and your impact is visible.  

If you’re looking for a place where you can grow fast, collaborate with exceptional teammates, and help build a company scaling its capabilities and global footprint at speed — Electric Mind is the place to ignite your career. The future is bright!  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.