Top Remote Backend Engineer Jobs in Chicago, IL

Build scalable Python backend services and distributed geospatial data pipelines for sonar and bathymetric datasets. Architect AWS cloud infrastructure, APIs, storage, and edge-processing systems for AUVs. Integrate AI/ML models for target detection and data classification, optimize cloud-native geospatial formats, and contribute to containerization, infrastructure-as-code, and CI/CD. The role bridges real-time onboard processing with post-mission cloud analysis.

Design and build robust backend services and secure APIs for finance and reader applications. Implement authentication, payments, subscriptions, and finance workflows. Design Postgres/Redis schemas, integrate with financial APIs (BSE Star MF, NSE) and DRM services, and ensure compliance-friendly data handling.

Build and ship backend systems and robust architectures for SMB and enterprise restaurant customers. Drive end-to-end development including planning, CI/CD, and productionization. Collaborate on product roadmap, iterate from user feedback, and contribute to team culture and growth.

Build and scale backend security platform services, including authentication, authorization, identity infrastructure, permission systems, and data models. Lead cross-team technical initiatives, standardize security solutions, collaborate with compliance and mission stakeholders, and influence architecture and engineering standards. The role requires strong system design, backend development, security expertise, technical leadership, and the ability to operate in sensitive environments.

Design and deliver scalable AI and generative AI applications using LLMs, RAG, agentic frameworks, prompt engineering, evaluation, and fine-tuning. Build backend APIs, microservices, cloud-native systems, and frontend integrations using Angular or React. Lead architecture decisions, develop observability and evaluation tooling, ensure software quality and security, collaborate cross-functionally, and mentor engineers.

Build and own the graph layer and RAG architecture enabling agent reasoning over full patient context. Select graph DBs, design query patterns, and ensure temporal coherence. Implement event-driven Kafka pipelines for auditable, immutable agent workflows and enforce ReBAC permissions. Prioritize safety and scalable AI-assisted workflows, participate in spec and plan reviews, and drive architecture decisions.

Build and scale backend data platforms and services for real-time loan origination and financial reporting. Lead quarterly delivery, guide engineers, define technical plans, collaborate with product and design partners, improve reliability and operational practices, monitor service metrics, participate in on-call support, uphold engineering quality standards, and mentor team members. The role requires developing highly available distributed systems and scalable data pipelines using technologies such as Python, Kotlin, AWS, MySQL, Kubernetes, Spark, and Airflow.

Design and develop scalable backend systems using Kotlin, Micronaut, and Spring. Build RESTful APIs, optimize PostgreSQL and Elasticsearch databases, implement RabbitMQ-based asynchronous processing, integrate AI tools, and create automated tests. Deploy and monitor services on GCP using Docker, Kubernetes, and Terraform. Collaborate cross-functionally, participate in code reviews, troubleshoot performance issues, and deliver reliable backend products.

Own a greenfield workflow for distributing Studio video projects across languages and aspect ratios. Design complex data-heavy backend systems, define requirements through RFCs, pressure-test data structures, and lead projects from inception through launch with minimal supervision. The role requires product judgment, enterprise-grade usage and account reporting expertise, and backend generalist capabilities. Media or video-processing pipeline experience is a bonus.

Own the architecture, performance, reliability, and technical direction of high-traffic backend services and public APIs supporting search, browse, autocomplete, and recommendations. Lead distributed-systems design, mentor engineers, drive cross-team projects, participate in on-call and incident response, and balance scalability, latency, cost, and API compatibility.

Build and scale backend systems for a high-traffic donor CRM and payments platform. Own performant SQL and realtime querying, optimize payment flows, implement AI agents, and collaborate across product and design to ship resilient, production-grade features at scale.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Lead backend architecture and engineering initiatives for a programmatic advertising platform. Design and optimize high-throughput, latency-sensitive ad-serving and auction systems; integrate SSPs, DSPs, exchanges, and other partners; improve reliability and performance; and guide technical strategy. The role also involves mentoring engineers, conducting code reviews, driving major projects from architecture through production, and collaborating with Product and other stakeholders.

Build and maintain scalable backend services, RESTful and GraphQL APIs, database schemas, and cloud infrastructure. Own architecture decisions, optimize performance and reliability, improve CI/CD practices, collaborate across product and engineering teams, lead architecture sessions, review code, and mentor junior developers.

Designs, builds, and maintains secure, scalable FHIR-based backend services and REST APIs for CMS initiatives. Implements DEQM Summary MeasureReport profiles, resource validation, conformance checks, SMART security patterns, and automated tests. Partners on architecture decisions, troubleshoots interoperability issues, supports CI/CD conformance testing, and contributes to technical documentation, code reviews, Connectathons, and implementation testing.

Build and operate Go-based automation for PostgreSQL provisioning, configuration, upgrades, failover, scaling, and decommissioning at GitLab.com scale. Develop a PostgreSQL-as-a-service platform, integrate cloud infrastructure and infrastructure-as-code tooling, improve database performance and reliability, and create safe upgrade automation. The role includes production ownership, architecture leadership, code reviews, documentation, cross-team collaboration, mentorship, and using AI agents in engineering workflows.

The Full-Stack Engineer will enhance backend functionality, collaborate with teams, and maintain platform performance and security, requiring expertise in Python.

Design, develop, launch, and maintain scalable backend systems and APIs used by merchant and partner integrations. Collaborate with engineers and stakeholders, balance speed with system quality, debug code, conduct code reviews, and write tested, extensible software. The role requires experience with distributed systems, Python or Kotlin, AWS, MySQL, and Kubernetes, along with strong communication and ownership of professional growth.

Build Python backend services and data-intensive systems supporting member identity, eligibility, billing, partner integrations, reporting, and analytics. Design APIs, asynchronous workflows, and data pipelines; validate, reconcile, retry, replay, and recover inconsistent external data. Improve production reliability, observability, testing, and performance while collaborating with Engineering, Product, and Operations. The role offers growth toward independent ownership of services and technical decisions.

Develop backend systems for Hightouch’s Customer Studio product, focusing on data warehouse performance, analytics and experimentation, real-time audience syncing, and generative AI workflows. Design scalable, maintainable, and reliable distributed systems while contributing to product specifications and customer-focused solutions. The role requires strong product sense and the ability to architect data-processing features end to end.

Build and scale backend-leaning full-stack systems for ElevenLabs’ voice products, including Text-to-Speech, Speech-to-Text, voice cloning, voice verification, and recommendation capabilities. Responsibilities include modernizing architecture, data models, storage, and APIs; improving pipeline reliability through monitoring, retries, and failure recovery; and owning workstreams from design through production, including frontend changes when needed.

Design, develop, and maintain scalable cloud-native backend applications using Node.js, React, and AWS services. Build secure, high-performing solutions supporting federal missions, troubleshoot complex issues, collaborate with cross-functional teams, and contribute to agile development. Responsibilities include working with serverless services, databases, CI/CD tools, and modern JavaScript technologies while delivering high-quality software.

Build and operate production creative agents for audio, image, and video generation. Develop backend systems for asynchronous, long-running tasks; improve agent prompts, tools, orchestration, models, MCP integrations, evaluations, monitoring, scalability, and security. Own features end to end, from prototyping and customer discovery through frontend delivery, production support, and collaboration with product, design, and engineering teams.

Build and maintain backend services, APIs, database schemas, and secure data-access systems for an AI-powered legal technology platform. Integrate AI/LLM services, messaging, document processing, and workflow automation into production workflows. Deploy and monitor containerized cloud services while collaborating with founders and product teams on technical and product decisions.

Build end-to-end product features with a backend focus: schema and API design, UI work in React/TypeScript, GCP/Terraform infrastructure, CI/CD, DB performance tuning, production ownership, and product decision-making using AI coding tools.