Lead/Senior Full-Stack Java Engineer

Stride Build

About The Position

At our core, we are a learning culture who takes care of each other and acts with integrity. We are trusted technology partners with some of the biggest names revolutionizing the tech industry. From scaling startups to iconic Fortune 500 companies, we help our clients reach their goals by providing collaborative high-end technical consulting, agile transformation, and product delivery. We are seeking a Lead / Senior Full-Stack Java Engineer to design, build, and deliver high-quality custom software solutions across backend, frontend, and cloud infrastructure. You will work closely with Product Managers, Designers, and other Engineers to deliver scalable, secure, and maintainable systems that drive real business outcomes. This is a hands-on, client-facing role in a consulting environment where you contribute directly to code while helping shape technical direction and mentor team members. Learn, practice, teach. You’ve invested in your career to become a great Lead/Senior Full-Stack Java Engineer, now it’s time to share it with the most exciting tech companies who are dying to become more product and user-centric! At Stride, you’ll work with excellent teams who care about adding value and improving themselves and everyone around them. Work for one company, impact many!

Requirements

6+ years of professional experience as a Full-Stack, Backend, or Software Engineer.
Strong hands-on experience with Java and backend service development.
Experience developing modern frontend applications using React and/or NextJS.
Solid experience working with relational and NoSQL databases.
Practical experience working in AWS-based cloud environments.
Strong understanding of RESTful APIs, distributed systems, and scalable architectures.
Comfortable working in Agile delivery environments (Scrum, Kanban).
Excellent communication skills and ability to work in client-facing roles.

Nice To Haves

Experience with Snowflake or analytics platforms.
Familiarity with event-driven architectures (e.g., Kafka/MSK).
Consulting or professional services background.
Experience mentoring engineers or leading technical workstreams.
Exposure to AI-enabled services such as AWS Rekognition.
Experience with analytics or data platforms.
Familiarity with event-driven architectures.
Consulting or professional services background.
Experience mentoring engineers or leading technical workstreams.
Exposure to AI-enabled services or machine learning integrations.

Responsibilities

Design, develop, test, and maintain full-stack applications across backend and frontend layers.
Build scalable backend services and APIs that support high-performance, data-driven applications.
Develop modern, responsive frontend experiences with a strong focus on usability and performance.
Write clean, maintainable, and well-tested code following engineering best practices.
Participate actively in code reviews, design discussions, and technical decision-making.
Partner closely with Product Managers and Product Owners to refine backlogs and clarify requirements.
Break down complex work into well-scoped, estimable user stories and technical tasks.
Provide reliable estimates and contribute to sprint and release planning.
Inspect and adapt through retrospectives, continuously improving team delivery and engineering practices.
Support a culture of transparency, accountability, and continuous improvement.
Design and integrate cloud-based services and messaging systems to support distributed architectures.
Build and support data integrations and pipelines across relational, NoSQL, and analytics platforms.
Ensure applications are secure, observable, and production-ready.
Partner with DevOps and platform teams to support deployments, monitoring, and reliability.
Serve as a technical leader on delivery teams, helping guide architecture and implementation decisions.
Collaborate closely with Product Managers and Designers to translate requirements into technical solutions.
Help estimate work, identify risks, and contribute to delivery planning and execution.
Support technical discovery and feasibility assessments during early phases of engagements.
Work directly with client stakeholders to understand technical requirements and constraints.
Participate in technical discussions, demos, and solution walkthroughs.
Communicate clearly about tradeoffs, risks, and implementation approaches.
Represent engineering best practices in client-facing environments.
Promote engineering standards around quality, testing, security, and performance.
Leverage modern tooling, automation, and AI-assisted development to improve productivity and quality.
Contribute to internal engineering patterns, documentation, and shared components.
Stay current with modern full-stack and cloud-native best practices.