Top Python Jobs in Columbus, OH

Lead engineer responsible for designing, building, and operating secure, resilient, cloud-native services. Write and review production code, automate remediation and CI/CD pipelines, design event-driven systems with Kafka and Spring Boot, evaluate vendor solutions, mentor engineers, and partner with product stakeholders to deliver scalable technology.

Lead technical design and development of secure, scalable production software. Write and review code, drive automation and CI/CD, ensure operational resilience, promote enterprise AI-assisted engineering practices, evaluate vendor/architecture choices, lead communities of practice, and coach teams on secure, compliant cloud-native solutions in a financial services environment.

Lead development of secure, production-grade storage/platform software. Design and deliver distributed systems using Python and modern cloud-native practices, drive automation and AI-assisted engineering adoption, troubleshoot complex incidents, mentor engineers, and partner across product, operations, and security to improve reliability and delivery.

Lead SRE/DevOps engineer responsible for designing and delivering resilient, scalable Branch systems. Collaborates with product, architecture, security, and operations to embed reliability best practices across the SDLC, write and review production Java/Python code, implement IaC on AWS, use observability tooling, drive CI/CD and automation, and lead engineering communities of practice.

Lead a cross-functional agile team to design, build, test, and operate scalable, secure full‑stack applications. Implement microservices (Java/Spring Boot or Python), cloud-native architectures, RESTful APIs, and high-volume data processing with SQL/NoSQL. Drive code quality, automation/CI-CD, vendor evaluations, and engineering communities of practice while improving operational stability and observability.

Lead development of distributed, cloud-native trading and portfolio systems using Java, Python, Spring Boot, Microservices and React. Drive secure, resilient CI/CD automation, AI-assisted engineering governance, code quality, and operational stability while mentoring and managing developers and evaluating vendor/architecture fit.

Lead software engineer responsible for designing, building, and operating secure, high-quality Python-based production systems. Drive distributed systems design, automation, AI-assisted engineering adoption, troubleshooting, mentoring, and cross-functional collaboration to improve reliability and delivery.

Develop and enhance enterprise-grade Python applications, distributed systems, data-processing services, and automation platforms. Responsibilities include architecture, production coding, database optimization, testing, CI/CD, troubleshooting, incident response, performance improvement, code reviews, and mentoring. The role collaborates with product, data, infrastructure, and business teams to deliver secure, reliable, scalable solutions and operational insights.

Lead design, build, and operate scalable, secure cloud platform capabilities. Develop Java/Spring Boot services, implement IaC with Terraform, run Kubernetes in HA, deliver CI/CD, apply SRE practices, use observability/APM tooling, and prototype AI/agentic workflows. Mentor engineers and enforce reliability, security, and compliance.

Leads testing, test planning, automation, defect management, and data validation for actuarial data mart initiatives. Performs SQL-based investigation across source, transformation, and target layers; analyzes data issues; supports Informatica workflows; and collaborates with developers and business partners to ensure production-ready releases. The role also supports Ruby and Python automation, regression testing, issue triage, and continuous improvement of quality practices.

Design, develop, and maintain secure, production-grade Python/Django applications and REST APIs; implement AuthE authentication patterns (OAuth/OIDC/SAML) for external users; build analytics and visualizations from large datasets; use AI-assisted development tools to accelerate delivery; ensure operational stability, CI/CD, and secure coding practices.

Build and maintain Python backend services and serverless architectures for a restaurant operations platform. Ship end-to-end features, design robust systems, and help define product roadmap. Implement CI/CD and productionization, collaborate with product and GTM teams, and contribute to team culture and technical execution.

Modernize legacy SAS data-processing systems by translating logic into scalable, high-performance Python solutions. Build and optimize large-scale data pipelines using formats including SAS, Parquet, JSON, and SQL. Integrate PostgreSQL, implement parallel processing, automated testing, data validation, and quality assurance, and maintain well-documented code. Collaborate with IT specialists and stakeholders to validate requirements, troubleshoot issues, and deliver cloud-native modernization solutions.

Lead the design, development, and operation of production-grade automation, agent frameworks, and CI/CD pipelines supporting documentation, localization, and language operations. Integrate platforms through REST APIs and MCPs, apply LLM capabilities responsibly, improve reliability and scalability, establish reusable standards, and mentor engineers. The role is fully remote in the US, with preferred Eastern or Central time zone availability.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

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.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Design, develop, test, and maintain scalable Python applications, backend services, REST APIs, microservices, and integrations. Work with databases, asynchronous processing, cloud platforms, containers, CI/CD, security, observability, and distributed systems. Troubleshoot production issues, optimize performance, create automated tests, participate in code reviews and architecture decisions, and collaborate with product, DevOps, QA, and engineering teams.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

Develop and maintain Python software applications, backend services, APIs, integrations, and database solutions. Responsibilities include troubleshooting, testing, deployment, code review, performance monitoring, documentation, and collaboration with a distributed remote team. The role requires independent work, strong communication, and reliable delivery of maintainable, scalable software.