Senior Software Engineer

January 11

Apply Now

Receive Emails with Similar Jobs

Relativity

WebsiteLinkedInAll Job Openings

Relativity is a company that helps customers organize data, discover truths, and take action through their specialized software solutions. The company is known for its end-to-end cloud review software that addresses data discovery challenges such as e-discovery, contract analysis, data breach response, and more. Relativity integrates advanced artificial intelligence into its solutions to enhance efficiency in data management and review processes. It serves a wide range of clients including law firms, corporations, and government agencies, providing them with secure, AI-powered tools. Relativity is committed to proactive security, legendary support, and building a global community of users and partners.

Software Development • Legal Technology • E-Discovery • Litigation Support • Software Engineering

1001 - 5000 employees

🤖 Artificial Intelligence

☁️ SaaS

🔐 Security

💰 Private Equity Round on 2021-03

📋 Description

• Design and develop high-quality model-based applications, ensuring alignment with architectural standards • Contribute to product improvements by providing technical expertise and supporting enhancements across schema, framework, and platform • Lead by example in technical design and implementation, encouraging knowledge-sharing and collective problem-solving • Guide and mentor junior engineers, helping them adopt best practices in design, coding, and testing • Collaborate with peers to align solutions with department-wide engineering initiatives and guidelines • Identify and advocate for tools or technology enhancements to improve the maintainability and quality of solutions • Stay informed about industry trends and share insights with the team to enhance technical direction.

🎯 Requirements

• 2+ years of professional experience delivering successful SaaS products • 5 + years of professional experience in software development • Public trust clearance • Strong computer science fundamentals in algorithms, data structures and computational complexity • A self-starter driven to make an impact • Strong communication skills, experience in collaborating within teams and mentoring peers • Proficiency in multiple programming languages, e.g : Java, Python, C# • Able to learn at multiple levels of the stack – from fine-granularity technical implementation to high level control- and data-flow • Comfortable working from Specifications to create a Technical Approach and scoping work • Able to consider the Engineering solution in the business context • Obsession with software quality and empathy for customer experience • In-depth technical understanding and experience with at least two of the following DevOps Platforms: GitHub, Azure DevOps, GitHub Actions, New Relic, and Jenkins • Experience implementing redundancy and disaster recovery scenarios • Experience building AI-powered products that use Natural Language Processing, GenAI, etc. • Knowledge of Linux • Knowledge of NoSQL database systems such as MongoDB, Redis, Elasticsearch • Fundamental knowledge of Kubernetes and container-based systems • Experienced with Agile methodology