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Python Go Developer Jobs in Cincinnati, OH (NOW HIRING)

Honeywell

Sr Advanced Cloud Developer

Mason, OH

$53 - $72.50/hr

Proficiency in Python and at least one additional language (Java, Scala, Go, C#, or TypeScript ... Experience leading engineering teams or driving multiteam technical initiatives. * Contributions to ...

Honeywell

Sr Advanced Cloud Developer

Mason, OH

$53 - $72.50/hr

Proficiency in Python and at least one additional language (Java, Scala, Go, C#, or TypeScript ... Experience leading engineering teams or driving multiteam technical initiatives. * Contributions to ...

Worldpay

Senior DevOps Cloud Engineer

Cincinnati, OH · On-site

$108K - $163K/yr

Proficiency in Python, Groovy * Experience with AWS cloud and networking fundamentals * Knowledge ... Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.

Hudson Manpower

Platform Engineer III

Cincinnati, OH · On-site

Job Title: Platform Engineer III Location: Remote USA TOP SKILLS: comprehensive vulnerability ... PHP, Ruby, Python, JavaScript, Elixir, Go or comparable. • Strong background in Linux ...

Smart Data

2106 Platform Engineer IV

Cincinnati, OH · Remote

$148K - $165K/yr

Senior Java Developer Location: REMOTE EST/CST Years of Experience: 5-20 TOP SKILLS: Must Have ... PHP, Ruby, Python, JavaScript, Elixir, Go or comparable. • Strong background in Linux ...

Worldpay

Sr. Build & Release Engineer

Cincinnati, OH · On-site +1

$119K - $179K/yr

Strong Java and scripting (Bash, Python) skills * Experience withCI/CDpipelines * Solid knowledge ... Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.

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Python Go Developer information

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$12

$56

$82

How much do python go developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for python go developer in Cincinnati, OH is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.89 per hour, depending on experience, location, and employer.

How do Python Go Developers typically balance working with both languages on a day-to-day basis?

Python Go Developers often split their time based on the specific requirements of a project—using Python for tasks like scripting, automation, or rapid prototyping, and Go for building high-performance backend services or microservices. Collaboration with other team members is common, as developers may integrate Python components with Go-based systems, requiring effective communication and code documentation. Staying adaptable and comfortable context-switching between languages is key, and most teams encourage continuous learning to keep skills sharp in both ecosystems.

What are Python Go Developers?

Python Go Developers are software engineers who specialize in writing and maintaining applications using both the Python and Go (Golang) programming languages. These professionals leverage the strengths of both languages—Python for rapid development and scripting, and Go for high-performance, concurrent backend services. Their work often involves building scalable web applications, APIs, or microservices, integrating systems, and optimizing performance. Employers value Python Go Developers for their versatility and ability to choose the best tool for each task.

What are the key skills and qualifications needed to thrive as a Python Go Developer, and why are they important?

To thrive as a Python Go Developer, you need strong proficiency in both Python and Go programming languages, experience with software development life cycles, and often a relevant degree in computer science or a related field. Familiarity with frameworks (such as Flask or Gin), RESTful APIs, version control systems like Git, and cloud platforms such as AWS or GCP is typically expected. Effective problem-solving, teamwork, and strong communication skills help developers collaborate and adapt to evolving project needs. Mastery of these skills ensures efficient delivery of high-quality, scalable software solutions in dynamic technical environments.

What is the difference between Python Go Developer vs Java Developer?

AspectPython Go DeveloperJava Developer
Required CredentialsBachelor's in Computer Science or related, knowledge of Python and GoBachelor's in Computer Science or related, knowledge of Java
Work EnvironmentTech companies, startups, cloud servicesEnterprise software, financial institutions, large-scale applications
Industry UsageWeb development, cloud computing, microservicesBackend systems, Android apps, enterprise solutions
Common Search IntentDevelopers working with Python and Go, multi-language projectsDevelopers focusing on Java-based applications

The main difference between a Python Go Developer and a Java Developer lies in the programming languages they specialize in. Python Go Developers work with Python and Go for modern, scalable, and cloud-native applications, often in startups and tech firms. Java Developers focus on Java for enterprise-level solutions, especially in large organizations. Both roles require similar educational backgrounds but differ in language expertise and typical work environments.

What are popular job titles related to Python Go Developer jobs in Cincinnati, OH? For Python Go Developer jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Python Go Developer jobs in Cincinnati, OH look for? The top searched job categories for Python Go Developer jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Python Go Developer jobs? Cities near Cincinnati, OH with the most Python Go Developer job openings:
Python Go Developer jobs near you

Developer - AI Ops

Tata Consultancy Service Limited

Milford, OH • On-site

$100K - $150K/yr

Full-time

Re-posted 2 days ago

Job description

Must Have Skills
Strong backend development experience in Python, Node.js, Java, or Go.
Experience building APIs, workflow services, integrations, and automation scripts.
Hands-on experience with Slack apps, Slack bots, Slack APIs, or enterprise collaboration platform integrations.
Experience integrating with ticketing and workflow tools such as Zendesk, Jira, ServiceNow, Confluence, or similar systems.
Understanding of identity and access management concepts such as Okta, SCIM, SSO, RBAC, ABAC, service accounts, and secrets management.
Experience working with SaaS APIs, webhooks, event-driven workflows, and scheduled automation jobs.
Good understanding of GenAI platforms such as OpenAI, Claude, ChatGPT Enterprise, or similar tools.
Ability to build secure, auditable, and reliable operational tooling for enterprise users.
Familiarity with logging, monitoring, error handling, retries, and operational dashboards.
Roles & Responsibilities
Build and maintain Slack-based AI support workflows for user questions, issue intake, automated responses, knowledge article lookup, and escalation to human support.
Integrate Slack with backend systems such as Zendesk, Jira, Confluence, knowledge bases, identity platforms, and AI service APIs.
Develop automation for ChatGPT and Claude license tracking, inactive user detection, license reclaim workflows, provisioning and deprovisioning coordination, and BU-level spend reporting.
Build service catalog workflows for AI tool access requests, approvals, onboarding, SLA classification, persona-based routing, and fulfillment tracking.
Create integrations with Okta or SCIM or enterprise identity systems for user provisioning, access management, and entitlement validation.
Support release validation tooling for ChatGPT and Claude by building feature tracking, release checklists, enablement logs, rollout status dashboards, and validation workflows.
Implement policy and access governance controls for OpenAI API orgs, Claude Enterprise workspaces, service accounts, secrets, RBAC and ABAC rules, and usage restrictions.
Develop backend services and APIs to support AI Ops reporting, ticket analytics, usage metrics, license data, support trends, and operational dashboards.
Integrate Serval or the AI support layer with Slack so users can resolve IT and AI-related queries through knowledge articles, built-in workflows, or escalation.
Implement logging, auditability, observability, and error handling for all AI Ops workflows and integrations.

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