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Python Go Developer Jobs in Dallas, GA (NOW HIRING)

Machine Learning Engineer II

Atlanta, GA · On-site

$93.80K - $128.40K/yr

Strong software engineering background with proficiency in at least one modern programming language (such as Python, Go, or TypeScript) and solid software design and debugging skills. * Experience ...

Machine Learning Engineer II

Atlanta, GA

$93.80K - $128.40K/yr

Strong software engineering background with proficiency in at least one modern programming language (such as Python, Go, or TypeScript) and solid software design and debugging skills. * Experience ...

Sr. Platform Engineer II

Atlanta, GA · Hybrid

$100.50K - $138K/yr

We are seeking a Senior Platform Engineer (IC4) with strong expertise in AWS cloud networking ... Proficiency in Python, Go, or Java * Strong Linux and networking fundamentals * Excellent system ...

Python, Go, Java; microservices; REST and GraphQL * Frontend: TypeScript, React, Next.js ... Strong full-stack engineering experience, including modern frontend development and backend ...

Sr. Cybersecurity Engineer

Atlanta, GA · On-site

$111K - $138.70K/yr

... from DevOps, SRE, or Infrastructure Engineering backgrounds who want to apply their skills to Security. * Automation First Mindset: Proficiency in scripting (Python, Go, or PowerShell) and ...

Sr. Cybersecurity Engineer

Atlanta, GA · On-site

$111K - $138.70K/yr

... from DevOps, SRE, or Infrastructure Engineering backgrounds who want to apply their skills to Security. * Automation First Mindset: Proficiency in scripting (Python, Go, or PowerShell) and ...

A developer-centric background with demonstrated ability to write and review production-quality code in Python, Go, or a comparable language. * Hands-on LLM engineering with proven experience working ...

Strong programming skills in Java , JavaScript/TypeScript (React, Node.js), or similar languages (e.g., Python, Go). * Experience with unit testing frameworks (e.g., Jest, Mocha, JUnit) for front-end ...

Senior SRE I

Atlanta, GA

$54.75 - $72.75/hr

... DevOps, or highly related infrastructure engineering role. * Strong proficiency in at least one scripting/programming language (e.g., Python, Go, Java, Ruby, Bash). * Extensive experience with cloud ...

Senior SRE I

Atlanta, GA · On-site

$54.75 - $72.75/hr

... DevOps, or highly related infrastructure engineering role. * Strong proficiency in at least one scripting/programming language (e.g., Python, Go, Java, Ruby, Bash). * Extensive experience with cloud ...

Solid coding skills in at least one modern programming language (Python, Go, or similar). * Command of industry frameworks (NIST, ISO 27001, OWASP, MITRE ATT&CK, SOC 2) and a pragmatic view on how ...

Solid coding skills in at least one modern programming language (Python, Go, or similar). * Command of industry frameworks (NIST, ISO 27001, OWASP, MITRE ATT&CK, SOC 2) and a pragmatic view on how ...

Solid coding skills in at least one modern programming language (Python, Go, or similar). * Command of industry frameworks (NIST, ISO 27001, OWASP, MITRE ATT&CK, SOC 2) and a pragmatic view on how ...

GenAI Systems Developer

Atlanta, GA · Remote

$185K - $215K/yr

Custom Python Application Development: Go well beyond "prompt engineering" by building end-to-end solutions that solve real-world client problems. This includes: * Data & Document Preprocessing:

Hands-on experience building, testing, or securing applications using Python/Go. You are familiar ... achieve it. * Engineering Proficiency: Hands-on experience building, testing, or securing ...

Role Summary As a Security Engineer at Rivian, you will spearhead the adversarial evaluation of our ... Hands-on experience building, testing, or securing applications using Python/Go. You are familiar ...

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Python Go Developer information

See Dallas, GA salary details

$11

$52

$77

How much do python go developer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for python go developer in Dallas, GA is $52.96, according to ZipRecruiter salary data. Most workers in this role earn between $43.65 and $60.14 per hour, depending on experience, location, and employer.

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.

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 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 cities near Dallas, GA are hiring for Python Go Developer jobs? Cities near Dallas, GA with the most Python Go Developer job openings:
Machine Learning Engineer II

Machine Learning Engineer II

ConstructConnect

Atlanta, GA • On-site

$93.80K - $128.40K/yr

Full-time

Posted 27 days ago


Job description

Overview
This position is hybrid in Peachtree Corners, Georgia and sits within our Product Development division, which develops, tests, and improves our software solutions in an innovative and collaborative environment.
The Opportunity
The construction industry is ready for innovation. Our software engineering teams are rapidly adopting AI using generative models, intelligent search, and ML-powered services to help customers work smarter and to help our own engineers move faster. The AI Acceleration & Enablement team is driving this transformation by providing safe, scalable paths for AI adoption across the SDLC, from coding assistants to production AI services.
The ideal candidate for this role will have a passion for building platforms that enable others. You bring a strong engineering background (cloud, infrastructure, CI/CD, MLOps) and are excited to create "paved paths" for software engineers to use AI tools, models, and patterns safely and reliably. Come help us accelerate AI adoption across ConstructConnect's engineering organization.
As a Machine Learning Engineer II (AI Enablement), you will play a crucial role in designing, implementing, and operating the shared AI/ML platform capabilities that other engineers build on. You will work across infrastructure, data, and application teams to turn AI experiments into robust, repeatable, and observable solutions. You will help standardize how we integrate AI into products and into engineers' day-to-day workflows.
Responsibilities
What You'll Be Doing
  • Design, implement, and maintain shared AI/ML platform components (services, SDKs, templates) that software engineering teams can easily adopt.
  • Be a leading member of the AI Acceleration & Enablement team to define "golden paths" for AI usage (e.g., how services call LLMs, how we handle prompts, logging, and safety, how we monitor AI features).
  • Partner with product and application teams to understand their AI use cases and translate them into scalable, secure platform capabilities instead of one-off solutions.
  • Work closely with data engineers and ML practitioners to design and deploy end-to-end pipelines that prepare data, train/fine-tune models, and deploy them into production.
  • Build and operate reliable, cost-aware AI/ML services on cloud platforms (e.g., GCP) using containerized workloads (Docker, Kubernetes) and managed services.
  • Implement and maintain CI/CD pipelines to automate testing, building, and deploying AI/ML components, including automated checks and guardrails for quality and security.
  • Develop and support internal libraries, command-line tools, and APIs that simplify integration with AI providers, model endpoints, feature stores, and data services.
  • Instrument AI and ML workloads with robust observability-metrics, logs, dashboards, and alerts-for performance, reliability, and cost.
  • Troubleshoot and resolve issues related to AI/ML deployments, scalability, latency, cost, and integration with upstream/downstream systems.
  • Partner with security and platform engineering to ensure AI usage follows company policies for data classification, access control, and compliance.
  • Stay informed about industry trends, best practices, and emerging technologies in AI, MLOps, and developer productivity, and help evaluate where they fit into our roadmap.
  • Mentor and guide engineers on best practices for using AI tools (e.g., coding assistants, chat-based AI) and integrating AI into their services.
  • Conduct thorough code reviews to ensure code quality, maintainability, and adherence to platform and security standards.
  • Contribute documentation, runbooks, and onboarding materials that help new teams quickly and safely adopt AI on the platform.
  • Participate in the recruiting and onboarding of new team members.
  • This job description in no way implies that the duties listed here are the only ones that team members can be required to perform.

Qualifications
What You Bring to the Team
  • Strong software engineering background with proficiency in at least one modern programming language (such as Python, Go, or TypeScript) and solid software design and debugging skills.
  • Experience building and operating services on a major cloud platform (such as GCP), including familiarity with managed compute, storage, and networking services.
  • Hands-on experience with container technologies such as Docker and Kubernetes, including deploying, scaling, and monitoring containerized workloads.
  • Proficiency with CI/CD pipelines (e.g., Git-based workflows) to automate building, testing, and deploying services and ML components.
  • Experience with infrastructure-as-code tools such as Terraform to provision and manage cloud resources in a repeatable, auditable way.
  • Familiarity with MLOps concepts and tools (such as Kubeflow, TFX, MLflow, or Vertex AI) for managing the ML lifecycle: data preparation, training, evaluation, deployment, and monitoring.
  • Understanding of modern AI capabilities (e.g., generative AI, embeddings, basic NLP and computer vision concepts) and how they can be safely integrated into products and engineering workflows.
  • Experience building APIs, services, or libraries that are used by other engineers, with a strong focus on usability, stability, and documentation.
  • Proficiency in using version control systems like Git for tracking changes in infrastructure, code, and configuration.
  • Strong foundation in observability practices (metrics, logs, dashboards, alerting) and experience using them to manage reliability and performance.
  • Effective communication skills and experience working cross functionally with product, data, infrastructure, and security teams.
  • Demonstrated ability to translate complex technical topics into clear, action-oriented guidance for other engineers.
  • Team player with the ability to balance multiple simultaneous projects and collaborate in a distributed, remote friendly environment.
  • Bachelor's degree or equivalent experience in Computer Science, Software Engineering, Data Science, or a related field.

Physical Demands and Work Environment
  • The physical activities of this position include frequent sitting, telephone communication, working on a computer for extended periods of time. Visual acuity is required to perform activities close to the eyes.
  • Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.
  • Team members who live within commuting distance of our office location (Atlanta, Georgia) are expected to work in a hybrid capacity, with regular in-office presence every Tuesday and Wednesday each week.
  • All team members must reside and perform their work within the United States

E-Verify Statement
ConstructConnect utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for ConstructConnect is eligible to work in the United States. To learn more about E-Verify you can call 1-800-255-7688 or visit their website. E-Verify® is a registered trademark of the United States Department of Homeland Security.
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