1

Python Go Developer Jobs in Arizona (NOW HIRING)

Strong programming/scripting in Python, Go, or Java for automation and ML integration. * Experience with Kubernetes, Docker, microservices, and distributed systems. * Deep understanding of time ...

New

Infrastructure Manager - Mesa Hybrid

Mesa, AZ · On-site +1

$145K - $155K/yr

... engineers while simultaneously architecting and implementing complex server and network projects ... Drive the development of infrastructure automation scripts using Python, Go, and Bash. Oversee the ...

... programming languages such as Java/Python • Agile development practices and test-driven ... Go programming language • Cloud provider certification (e.g., Azure certification AZ-900, etc ...

New

Strong programming skills in Python, Bash, or Go, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn). Preferred Certifications (one or more): Google Cloud Professional Machine ...

Engineer II

Phoenix, AZ · On-site

$55.75 - $74.50/hr

* Must have experience working with builds and deployments of various programing languages like Java, NodeJS, Python. Nice to have experience with dot Net &Go source code. * Must have experience with ...

Engineer II

Phoenix, AZ · On-site

$55.75 - $74.50/hr

* Must have experience working with builds and deployments of various programing languages like Java, NodeJS, Python. Nice to have experience with dot Net &Go source code. * Must have experience with ...

Mainframe Utilities Developer

Phoenix, AZ · On-site +1

$48.75 - $62.50/hr

We are always moving forward - always pushing ourselves to go further in our efforts to build a ... Python, Java, Javascript, SQL * zOS Connect, Utilities and Software: IBM, Broadcom, BMC * Knowledge ...

Mainframe Utilities Developer

Phoenix, AZ

$48.75 - $62.50/hr

We are always moving forward - always pushing ourselves to go further in our efforts to build a ... Python, Java, Javascript, SQL * zOS Connect, Utilities and Software: IBM, Broadcom, BMC * Knowledge ...

Lead DevOps Engineer

Scottsdale, AZ · Hybrid

$53.25 - $72.75/hr

Lead DevOps Engineer Location: Scottsdale, AZ Job Type: Full Time No C2C or Third Parties. Must be ... Python, or Go * Experience with infrastructure in Azure, VMware, or similar hosted/cloud ...

Senior Infra and DevOps Cloud Engineer

Gilbert, AZ · Hybrid

$129K - $166K/yr

Experience with AWS Lambda, Node.js, Python, or Go * Experience with AWS infrastructure services, including Virtual Private Cloud (VPC), Elastic Compute Cloud (EC2), Simple Storage Service (S3 ...

You'll contribute to Python pipelines, connect systems through APIs, and surface actionable ... Go Experience building full-stack internal tools that combine a clean UI with data-rich backends ...

You'll contribute to Python pipelines, connect systems through APIs, and surface actionable ... Go Experience building full-stack internal tools that combine a clean UI with data-rich backends ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Understand the full end to end development activities from design to go live for ETL development ...

Senior Enterprise Infrastructure Engineer

Tempe, AZ · On-site

$105K - $143K/yr

... applying DevOps methodologies to enhance the systems that support Gemini's global workforce ... Go, Python, Swift - with demonstrated ability to build production-grade internal tooling and API ...

next page

Showing results 1-20

Python Go Developer information

Is Python a poisonous snake?

Python is a type of large non-venomous snake found in Africa, Asia, and Australia. In the context of a Python Go Developer role, the term 'Python' refers to a popular programming language, not the animal. It is important to distinguish between the programming language and the snake when discussing job skills or requirements.

What's harder, C++ or Python?

For a Python Go Developer, C++ is generally considered more complex due to its lower-level features, manual memory management, and stricter syntax. Python is often easier to learn and use because of its simplicity and high-level abstractions, but C++ offers more control over system resources, which can increase difficulty for developers. The choice depends on the project requirements and the developer's experience with programming languages.

What exactly is Python used for?

Python is a versatile programming language used by Python Go Developers for tasks such as web development, data analysis, automation, machine learning, and scripting. Its readability and extensive libraries make it popular for rapid development and integration with other technologies.

Is Python difficult to learn?

Python is considered one of the easier programming languages to learn due to its simple syntax and readability, making it suitable for beginners and experienced developers alike. For a Python Go Developer, understanding Python fundamentals can help in integrating different technologies and tools efficiently.

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 Arizona? For Python Go Developer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Python Go Developer jobs in Arizona look for? The top searched job categories for Python Go Developer jobs in Arizona are:
What cities in Arizona are hiring for Python Go Developer jobs? Cities in Arizona with the most Python Go Developer job openings:

AI Ops Senior Architect

TechVirtue LLC

Phoenix, AZ • On-site

Other

Posted yesterday


Job description

Job Title: AI Ops Senior Architect

Location - Phoenix, AZ (Hybrid)

Exp 15+ Years

We are seeking a highly skilled AI Ops Senior Architect to lead the design, implementation, and optimization of AI-driven operational platforms across large-scale, mission-critical environments. The ideal candidate will possess deep expertise in machine learning enabled operations, observability, automation frameworks, cloud engineering, and enterprise SRE/DevOps practices. This role will drive the transformation of traditional IT operations into intelligent, autonomous, self-healing systems.

The Senior Architect will collaborate with cross-functional engineering, cloud, platform, and data science teams to deliver predictive, proactive, and automated operational outcomes.

Key Responsibilities

  • AI-Driven Operations Architecture
  • Lead the architecture and implementation of AI-powered operational frameworks, including predictive analytics, anomaly detection, NLP-driven automation, and auto-remediation systems.
  • Define and evolve the overall AI Ops strategy, roadmap, standards, and governance.
  • Implement intelligent monitoring and decision models that enhance reliability and operational efficiency.
  • Architect solutions that integrate machine learning models into production operations workflows.

Observability, Monitoring & Automation

  • Design end-to-end observability ecosystems (metrics, logs, traces, topology, events) integrated with AI/ML platforms.
  • Build anomaly detection models using ML and time-series analysis to identify issues before failures occur.
  • Drive automated incident detection, impact assessment, and classification using AI-based models.
  • Implement proactive auto-healing and automated resolution workflows.

Cloud & Platform Engineering

  • Architect scalable AI Ops platforms using AWS, Azure, or Google Cloud Platform cloud-native services.
  • Design infrastructure and pipelines for AI-driven monitoring and operational insights.
  • Integrate AI Ops capabilities with Kubernetes, service mesh, cloud-native microservices, and distributed systems.
  • Optimize cost, performance, and reliability using intelligent orchestration and scaling.

Data Engineering & ML Ops Integration

  • Partner with data engineering teams to build robust data pipelines for operational data ingestion.
  • Work with ML Ops teams to operationalize ML models, including training, evaluation, deployment, and monitoring.
  • Ensure continuous retraining and drift detection for AI Ops models.
  • Define data taxonomies, quality standards, and metadata management for operational datasets.

SRE, DevOps & Automation Frameworks

  • Align AI Ops with SRE principles, SLIs, SLOs, and error budgets.
  • Integrate AI-driven insights into CI/CD pipelines and operational workflows.
  • Develop event-driven, automated runbooks using ML and rule-based systems.
  • Implement intelligent capacity planning, scaling, and resource optimization.
  • Security, Compliance & Governance
  • Ensure AI Ops solutions meet enterprise security, compliance, and audit requirements.
  • Define governance frameworks for AI model usage, transparency, and monitoring.
  • Collaborate with cybersecurity teams on intelligent threat detection and risk analysis.

Leadership & Collaboration

  • Provide architectural leadership and technical direction to engineering and operations teams.
  • Mentor teams on AI Ops concepts, automation, and intelligent operations.
  • Present architecture proposals and operational improvements to leadership stakeholders.
  • Influence enterprise-wide transformation toward autonomous operations.

Required Skills & Experience

12+ years of IT experience with 5+ years in SRE/DevOps/AI Ops architecture.

Strong expertise in:

  • AI Ops platforms (Moogsoft, Dynatrace Davis AI, BigPanda, New Relic AI, Datadog AIOps)
  • Observability stacks (Prometheus, Grafana, ELK, Splunk, AppDynamics)
  • ML pipelines and ML Ops tooling (SageMaker, Vertex AI, MLflow, Databricks)
  • Cloud architectures on AWS / Azure / Google Cloud Platform
  • Event-driven systems and automation tools
  • Strong programming/scripting in Python, Go, or Java for automation and ML integration.
  • Experience with Kubernetes, Docker, microservices, and distributed systems.
  • Deep understanding of time-series analysis, anomaly detection, NLP, and predictive analytics.
  • Experience operationalizing ML models and integrating them into production systems.

Preferred Qualifications

  • Certifications in cloud architecture or ML engineering.
  • Background in enterprise-scale SRE, observability, or operations automation.
  • Experience with LLM-based automation and AI agents for IT operations.
  • Experience in highly regulated industries (Finance, Healthcare, Telecom).