You will be significantly contributing towards the development of our strategic initiatives – using a variety of distributed systems and cloud-technology stacks, driving our next level of growth.
As an early member of our small team, you will have ample opportunity to contribute to challenging technical problems and also potentially lead sub teams. You will also have avenues to grow into a higher technical track. Depending on fit, you will be considered for opportunities to contribute to GenAI use cases on our product roadmap, bringing cutting-edge technology to our suite of solutions.
Engineering culture
Our engineering culture is driven by developer empowerment, and built on passion, collaboration, innovation, and unwavering diligence. We foster an environment of open communication, transparency, and a determined ‘get-it-done’ mindset. We hold continuous learning, mutual support, and a profound sense of camaraderie in high regard, even within our remote work setting.
Responsibilities
Work with product management to understand customers’ case data workflows to translate their pain points to requirements.
Understand the current system architecture and design sub systems.
Be hands-on and build end-to-end new features and support existing features.
Engage in all stages of the product development life cycle.
Adopt a customer-centric and iterative mindset.
Adhere to and contribute towards engineering best practices such as API design standards, coding standards, code test coverage, code reviews, CI/CD, and documentation.
Work with lead engineers to together deliver on large initiatives.
Our tech stack is varied – you will start with Ruby/Rails, Javascript/React, Postgres, Redis, Sidekiq, Heroku, AWS, and more.
Qualifications
BS/MS in Computer Science, Computer Engineering, or other computer-related discipline (is required).
Experience with open-source projects or software development in the industry (is a plus).
Proficiency in one or more scripting languages (is required) – experience in Ruby/Rails and Javascript/React (is a plus).
Proficiency in one or more RDBMS or NoSQL databases (is required).
Expertise in data structures, algorithms, object-oriented programming, and design patterns (is required).
Ability to effectively communicate and collaborate with both technical and nontechnical team members (is required).
Flair for startup work style (is a plus).
Prior experience in the legal tech industry (is a plus).
About PacerPro
PacerPro’s mission is to empower better decision making and stronger institutions by making facts, the bedrock of legal analysis, readily and easily accessible. Launched in 2014 as a simple overlay to the PACER system, today our service is the standard for integrating federal court data into workflow and knowledge systems for BigLaw and leading litigation boutiques. This success is due to innovative technology matched with best-in-class customer success and deployment teams.
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