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Back End Engineer (Python,AWS,LLM)
<h3><strong>About us:</strong></h3> <p>Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We’re a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian.</p> <p>We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world’s largest brands deliver powerful digital experiences.</p> <p>As an award-winning Atlassian partner with a world-class team, we help organizations innovate and solve complex challenges for Fortune 500 companies and beyond, we want to hear from you.</p> <h3><strong>Opportunity!</strong></h3> <p>We are looking for a <strong>Senior Back End Engineer</strong> to join our engineering team and help clients design, build, and scale advanced data solutions. You will work on large-scale, production-grade data systems, support AI and machine learning initiatives, and translate complex datasets into meaningful insights that drive business and product decisions.</p> <p>This role requires strong technical depth, the ability to operate in research-heavy and ambiguous environments, and close collaboration with cross-functional teams across product, data, and validation functions.</p> <h3><strong>Requirements:</strong></h3> <ul> <li>Strong professional experience with <strong>Python</strong> for backend development, including building scalable APIs and services. Bonus points for knowledge and experience with FastAPI.</li> <li>Hands-on experience with <strong>AWS</strong>, particularly observability and telemetry services (CloudWatch Logs/Metrics, X-Ray), plus general familiarity with core services like Lambda, API Gateway, and S3.</li> <li>Experience developing and maintaining <strong>AI/ML-powered features or integrations</strong>, including working with APIs, models, and/or data pipelines</li> <li>Strong knowledge of the LLM ecosystem and experience working with multiple AI providers (Anthropic, OpenAI, Gemini, Bedrock, etc.)</li> <li>Solid understanding of <strong>distributed systems design</strong> and building applications that scale across high-traffic environments</li> <li>Care about observability, reliability, and creating tools that make other engineers' lives easier</li> <li>Proficiency in writing <strong>automated tests</strong> (unit, integration, and end-to-end) to ensure code quality and reliability</li> <li>Familiarity with <strong>containerization tools</strong> such as Docker and CI/CD pipelines </li> <li>Knowledge of infrastructure as code and configuration management tools (e.g.,Terraform, or similar)</li> <li>Strong understanding of <strong>Agile development methodologies</strong> and collaborative engineering practices</li> <li>Ability to translate <strong>product requirements into scalable, production-ready solutions</strong></li> <li>Experience working in <strong>remote or distributed teams</strong>, with a strong communication and ownership mindset.</li> </ul> <h3><strong>You’ll Love:</strong></h3> <ul> <li>Building scalable data systems that power AI and machine learning solutions</li> <li>Working on complex, high-impact data initiatives with real-world scale</li> <li>Collaborating closely with cross-functional teams to deliver meaningful outcomes</li> <li>Raising the bar for data engineering and analytics best practices</li> <li>Continuously learning and exploring modern data and AI tooling</li> </ul> <p>By joining our team, you’ll be part of a winning squad that plays to each other’s strengths and celebrates every success together. Apply now and show us you’ve got what it takes to take your consulting skills to the next level with Modus Create!</p>
