ZipRecruiter

Log In

1

Go Programming Jobs in Atlanta, GA (NOW HIRING)

Datavault AI Inc.

Full Stack Developer

Atlanta, GA · On-site

Full Stack Developer Location: Atlanta, GA, Hybrid Employment Type: Full-Time About Us: Datavault ... Design and ship REST APIs in Go, including database schema migrations, caching strategies, and ...

W3Global Inc.

Design Engineer

Woodstock, GA

$65K - $80K/yr

This is production-oriented engineering - calculations, design drawings, material take-offs, client coordination, and seeing your work go to construction. Final stamped drawings are reviewed ...

New Relic

Manager, Software Engineering

Atlanta, GA · Remote

As our new Engineering Manager, you will lead a talented, distributed team across US and EU time ... Guide decisions around microservices, Go-based services, and extreme-scale cellular architectures ...

Geekplus, Inc

Controls & Deployment Engineer

Suwanee, GA

$77K - $100K/yr

... systems go live and perform. Responsibilities Deployment & Project Execution * Lead onsite ... HMI programming experience. * Familiarity with industrial networking concepts. * Experience with ...

previous page

Showing results 41-60

All JobsGo Programming JobsGo Programming Jobs in Atlanta, GA

Go Programming information

See Atlanta, GA salary details

$24K

$85.5K

$143.3K

How much do go programming jobs pay per year?

As of Aug 22, 2026, the average yearly pay for go programming in Atlanta, GA is $85,536.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $111,600.00 per year, depending on experience, location, and employer.

What is Go programming?

Go programming refers to the use of the Go language, also known as Golang, which is an open-source programming language developed by Google. Go is designed for simplicity, efficiency, and reliability, making it well-suited for building scalable web servers, cloud-based applications, and other high-performance software. Its strong support for concurrency, garbage collection, and easy-to-read syntax have contributed to its popularity among developers. Go is often used in backend development, DevOps, and microservices architectures.

What are some common challenges Go programmers face when working on large-scale projects?

Go programmers working on large-scale projects often encounter challenges such as managing dependencies across multiple modules, ensuring efficient concurrency without introducing race conditions, and maintaining code readability as the codebase grows. Collaboration with other team members is key, as Go encourages code simplicity and clear documentation, making code reviews and shared standards important. Additionally, integrating Go services with existing systems and optimizing performance for production environments can present learning opportunities and growth experiences.

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

To thrive as a Go Programmer, you need strong proficiency in the Go programming language, a solid understanding of software engineering principles, and typically a degree in computer science or related experience. Familiarity with tools like Git, Docker, and cloud platforms, as well as knowledge of RESTful APIs and concurrency patterns, is highly valuable. Problem-solving ability, effective communication, and teamwork are essential soft skills for collaborating on complex projects and adapting to evolving requirements. These skills and qualities are crucial for building efficient, scalable, and maintainable software solutions in fast-paced development environments.

What is the difference between Go Programming vs Python Programming?

AspectGo ProgrammingPython Programming
Primary UseSystem, network, and backend developmentWeb development, data analysis, scripting
SyntaxStatically typed, concise, compiledDynamically typed, readable, interpreted
PerformanceHigh performance, suitable for concurrent tasksModerate performance, flexible for rapid development
Learning CurveModerate, requires understanding of concurrencyEasy to learn, beginner-friendly
Community & UsageGrowing, used in cloud infrastructure and microservicesLarge, versatile, used across many industries

Go Programming is optimized for high-performance backend and system-level applications, especially in cloud and microservices environments. Python Programming offers greater flexibility and ease of use for web, data, and scripting tasks. The choice depends on project requirements and developer expertise.

Is Go Programming in high demand?

Go programming is in high demand, especially in cloud computing, microservices, and backend development. Companies value Go for its performance, simplicity, and concurrency support, leading to strong job growth and competitive salaries for skilled developers.

What are popular job titles related to Go Programming jobs in Atlanta, GA?

For Go Programming jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Go Programming jobs in Atlanta, GA look for?

The top searched job categories for Go Programming jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Go Programming jobs?

Cities near Atlanta, GA with the most Go Programming job openings:

Go Programming jobs near you
Infographic showing various Go Programming job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, and 7% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $85,536 per year, or $41.1 per hour.

AI Ops / DevOps Engineer

NTT DATA Americas, Inc

Sandy Springs, GA • On-site

$52.25 - $71.75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

118th of 225 rated it services

Job description

Req ID: 382452
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
NTT DATA''s Client is seeking a Senior AI Ops / DevOps Engineer to join their team in Atlanta, Georgia (US-GA), United States (US).
The Senior AI Ops / DevOps Engineer will architect, build, and manage next-generation AI-driven CI/CD and cloud operations ecosystems. This role will go beyond traditional DevOps automation by integrating LLM agents, Model Context Protocol servers, intelligent observability, and secure AI-assisted workflows into the software delivery lifecycle.
  • Architect, build, and manage AI-enabled CI/CD pipelines that improve developer productivity, code quality, release reliability, and deployment speed.
  • Design and deploy production-grade Model Context Protocol clients and servers to securely connect enterprise LLMs with engineering tools, repositories, cloud infrastructure, and observability platforms.
  • Develop custom MCP servers using Python, TypeScript, Node.js, or JavaScript to expose logs, infrastructure metrics, deployment data, and internal tools to authorized AI agents.
  • Integrate LLM agents into developer workflows to support automated code review, vulnerability detection, test generation, release validation, and infrastructure recommendations.
  • Build and maintain robust CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, ArgoCD, Jenkins, or similar tools.
  • Implement ChatOps 2.0 capabilities that allow engineers to interact with deployment pipelines, cloud environments, logs, and operational workflows using secure conversational interfaces.
  • Create safe autonomous remediation workflows for log analysis, incident triage, root-cause analysis, and infrastructure issue resolution.
  • Build guardrails that allow AI agents to generate, inspect, and safely execute Infrastructure as Code using Terraform, OpenTofu, Terragrunt, Pulumi, Crossplane, or similar tools.
  • Manage containerized workloads using Docker and Kubernetes platforms such as AWS EKS, Azure AKS, or Google GKE.
  • Integrate AI-driven observability workflows with platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
  • Implement AI safety controls including role-based access control, least-privilege execution, human-in-the-loop approvals, audit logging, rollback mechanisms, and secure tool access.
  • Partner with software engineering, DevOps, SRE, security, platform, and data/AI teams to identify opportunities for intelligent automation.
  • Create reusable automation frameworks, runbooks, dashboards, documentation, and enablement materials for engineering teams.
  • Drive an "automate everything” culture by reducing manual toil and improving operational efficiency across cloud and software delivery processes.

Basic Qualifications
  • Minimum 7+ years of experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or Infrastructure Automation.
  • Minimum 4+ years of hands-on experience designing and managing CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD, or similar platforms.
  • Minimum 3+ years of experience managing scalable cloud environments in AWS, Azure, or Google Cloud Platform, with strong preference for AWS.
  • Minimum 3+ years of Strong hands-on experience with Kubernetes, Docker, and production container orchestration platforms such as EKS, AKS, or GKE.
  • Advanced proficiency with Infrastructure as Code tools such as Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, or Crossplane.
  • Minimum 3+ years of Strong programming and scripting experience using Python, TypeScript, JavaScript, Bash, or Go.
  • Minimum 3+ years of Practical experience working with LLM APIs such as OpenAI, Anthropic, or similar enterprise AI platforms.
  • Minimum 3+ years of Experience with AI orchestration or agentic frameworks such as LangChain, CrewAI, LlamaIndex, or similar tools.
  • Minimum 3+ years of Strong understanding of the Model Context Protocol ecosystem and experience designing or integrating MCP clients and servers.
  • Minimum 3+ years of Experience integrating DevSecOps controls into CI/CD pipelines, including SAST, DAST, dependency scanning, container scanning, secrets scanning, and vulnerability management.
  • Minimum 3+ years of Strong knowledge of secret management and security tooling such as HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or similar platforms.
  • Minimum 3+ years of Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
  • Familiarity with security and compliance frameworks such as SOC2, ISO27001, or enterprise audit control environments.
  • Ability to troubleshoot complex pipeline, infrastructure, deployment, and production issues across cloud-native environments.
Preferred / Nice to Have
  • Experience building AI-assisted infrastructure provisioning workflows.
  • Experience implementing autonomous or semi-autonomous incident response and remediation capabilities.
  • Experience with MLOps, model deployment pipelines, model monitoring, MLflow, SageMaker, or equivalent platforms.
  • Experience implementing human-in-the-loop approval models for AI-generated operational actions.
  • Experience with policy-as-code tools such as Open Policy Agent, Sentinel, Checkov, or similar solutions.
  • Experience working in regulated industries such as banking, financial services, healthcare, or insurance.
  • Experience with GitOps operating models using ArgoCD, Flux, or similar tools.
  • AWS, Kubernetes, DevOps, Security, or AI/ML certifications are a plus.
  • Soft Skills & Mindset
  • Strong "automate everything” mindset with a passion for reducing repetitive manual tasks and operational toil.
  • Security-first approach with practical skepticism of autonomous AI actions and a focus on validation, boundaries, approvals, and rollback.
  • Ability to bridge traditional software engineering, DevOps, SRE, security, and data/AI teams.
  • Strong communication skills with the ability to explain complex AI-enabled DevOps concepts to both technical and leadership audiences.
  • Collaborative educator who can help upskill engineering teams on AI-assisted delivery, secure automation, and modern DevOps practices.
  • Ownership mindset with the ability to design solutions, implement them hands-on, and support them in production.
Travel
  • This position requires 3 days in office per the client/project requirement.
Degree
  • Bachelor''s degree in Computer Science, Engineering, Information Technology, or equivalent work experience.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60-$70/hour).  This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate''s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
 
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you''d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

What NTT Data employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

NTT DATA logo

About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967

View All NTT DATA Jobs

Apply