Top Remote Software Engineer Jobs in Columbus, OH

Design and develop high-performance optimization and scheduling systems for complex network-resource allocation problems. Translate network requirements into computational models, improve solution quality and scalability, and evolve solver architecture for reliability. Responsibilities include managing project priorities, designing, testing, debugging, and maintaining production software. Preferred experience includes numerical optimization, solver development, performance profiling, distributed or cloud computing, and telecommunications or networking.

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

Designs and delivers full-stack software features for electromagnetic warfare test and mission systems. Integrates TCP/IP-connected radios, instruments, servers, and rack components; builds accessible Angular interfaces; supports system evaluation, installation, testing, and sustainment. Develops data pipelines, warehouses, visualizations, threat-signal processing, software distribution tools, and on-premises LLM assistants. Works in Agile and DevSecOps environments while tracking project hours and assisting with effort estimates.

Leads software architecture, full-stack delivery, cross-product integration, and technical quality for ARAT mission systems. Owns classified-enclave deployment, secure GitLab CI/CD pipelines, STIG compliance, RMF and information-assurance coordination, and Windows Army Gold Master compatibility. Establishes shared UI architecture and accessibility standards, designs enterprise test-data platforms and analytics strategies, and governs hybrid cloud, network security, identity, and cross-domain distribution across NIPR, SIPR, and JWICS. Mentors engineers and advises the Government on technical, security, data, and cloud investments.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Develop, test, and ship features for data platforms, pipelines, contributor tools, quality assurance systems, and client-facing infrastructure. Collaborate with senior engineers, participate in code reviews, debug issues, and improve automation supporting large-scale AI training data workflows. The role offers hands-on experience with production engineering, data systems, and AI-adjacent technologies in a fully remote environment.

Build and own high-performance UI features for Netflix’s TV application across streaming sticks, smart TVs, and cable boxes. Collaborate with product, design, algorithms, and engineering teams to define experiences, validate product variants through A/B testing, and deliver reliable, testable code. Lead large cross-functional projects while working with TypeScript, JavaScript, React, Redux, Node.js, GraphQL, and proprietary Jest-based automation frameworks.

Staff Software Engineer leading architecture, hands-on development, and delivery of reliable frontend, backend, API, data, and production systems across multiple teams. The role drives multi-quarter initiatives, AI-enabled engineering practices, system scalability, security, observability, incident response, technical standards, mentorship, and alignment between technical investments and product outcomes.

Build and operate end-to-end consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place segment. Use AI tools and agentic workflows extensively, establish AI-native engineering practices, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and ensure performance, reliability, accessibility, and member impact across owned features.

Own and deliver polished, accessible, high-performance frontend experiences using React and TypeScript. Set frontend technical standards, mentor engineers, use AI-assisted development tools, and contribute to product roadmaps. Build backend services and APIs in Go as needed, collaborate with stakeholders, document user-facing products, and help shape engineering culture and quality.

Develop and maintain Python backend services, primarily with Flask, while designing scalable architecture and integrating legacy systems. Build AWS solutions using Lambda, Cognito, SNS, SQS, and DynamoDB; maintain CI/CD pipelines and infrastructure as code with OpenTofu and Terraform. Collaborate in an Agile/Scrum environment, contribute to technical decisions and engineering standards, review code, and mentor junior developers.

Owns the BASIS program’s software QA strategy, automation framework, compliance posture, and quality deliverables. Leads automated testing across unit, integration, regression, system, and end-to-end levels; enforces TDD, DevSecOps integration, traceability, defect management, accessibility testing, and quality metrics. Mentors QA engineers, leads reviews and defect triage, maintains compliance documentation, and briefs Government stakeholders on quality risks, metrics, and remediation.

Lead development of secure, scalable digital banking software across front-end and backend systems. Design Angular or React applications, build APIs, optimize SQL performance, integrate third-party platforms, improve code quality, implement testing strategies, and mentor engineers. Collaborate with cross-functional teams in an Agile environment while supporting cloud-native practices, regulatory compliance, and continuous product improvement.

Lead development of CoLab's simulation review capabilities: ingest and process industry-standard simulation data, build high-performance visualization for large datasets, collaborate with Product and customers, and define architecture and UX for a new Simulation product area.

Develops, maintains, and enhances scalable web applications, internal tools, libraries, and shared components for international enterprise clients. Collaborates with cross-functional teams, participates in code reviews, creates technical documentation, and shares knowledge. Requires strong software development principles, design patterns, cloud, database, CI/CD, messaging, testing, and mobile framework experience.

As a Full Stack Software Engineer, you will develop and maintain robust backend systems using Ruby on Rails, collaborating with cross-functional teams to enhance the real estate platform's performance and user experience.

Design and build secure, scalable enterprise clinical workflow systems for Butterfly Cloud. Solve distributed-systems challenges involving elasticity, reliability, performance, and automated validation. Lead system design, own business problems, guide developers through execution, and mentor engineers. The role may span frontend and backend layers and involve cloud architecture, observability, search, real-time applications, GraphQL, containerization, and healthcare data compliance.

Build and maintain Python-based automation, services, test infrastructure, and performance analysis tooling for a distributed database system. Collaborate with internal stakeholders, improve developer tooling and reproducible testing, analyze system performance, and create documentation and runbooks. The role requires strong software fundamentals, systems thinking, Linux and CI experience, and the ability to learn new languages and systems quickly.

Build and operate multi-cloud infrastructure for MariaDB Cloud, designing application layers, APIs, cloud-native services, automation, and database-adjacent features. Own production capabilities end to end across AWS, Azure, and GCP using Terraform, Kubernetes, Docker, CI/CD, Python, and backend languages. Develop AI-enabled workflows involving vector databases, semantic search, RAG, and LLM agents while ensuring security, observability, scalability, and reliable deployment.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Design and build JTX, a high-performance Solana trading application. Develop low-latency, reliable systems for order routing, execution, real-time market data, and position management. Own critical infrastructure, implement security across transaction signing and user data, make architectural decisions, and collaborate with product and infrastructure teams in a fast-moving 0-to-1 environment.

As a Staff Software Engineer in Infrastructure, you will lead a team in building high-performance, distributed systems, guide project direction, mentor engineers, and improve data ingestion architecture.

Develop and implement full stack features for a healthcare platform, focusing on both frontend (React) and backend (Node.js) development. Responsible for performance optimization, API creation, testing, and collaboration with data engineering teams.

Staff Software Engineer responsible for architecting and developing scalable web applications and APIs using Elixir, React, and PostgreSQL. The role involves solving ambiguous technical and business problems, ensuring system reliability and performance, collaborating cross-functionally, presenting solutions to leadership, writing tested code, participating in code reviews, mentoring engineers, and removing technical roadblocks.

Own technical strategy and architectural decisions across multiple engineering squads. Design scalable distributed systems, APIs, data models, and cloud-native platforms while building shared systems that improve delivery. Partner with product and engineering leadership, resolve ambiguous technical challenges, establish AI-assisted development practices, and mentor engineers through design reviews and cross-team collaboration. The role requires full-stack expertise and strong influence, communication, and technical leadership in a high-stakes B2B SaaS environment.