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Go Developer Jobs in Remote, OR (NOW HIRING)

Head of AI

OR · On-site +1

... Go-to-market and revenue growth * * Own pipeline and bookings targets for AI services in North ... Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning. • ...

Lead, Product Manager - Platform Services

OR · On-site +1

$125K - $165K/yr

With us, you get the freedom to go further - no matter your role. That means developing, delivering ... Partner with engineering teams to evolve platform architecture, automation, observability, and AI ...

Coordinate internal stakeholders across Sales Engineering, Product, Delivery, and Executive ... Represent the voice of the customer internally to influence roadmap priorities, packaging, and go ...

... engineering, finance, sales, marketing, and go-to-market leaders to align pricing strategy with product architecture, customer value, and delivery models. - Translate complex technical capabilities ...

... the go-forward perimeter), operating in 54 countries under two brands - Atos for services and ... The Staging Center Manager leads a team of staging technicians and field engineers while ...

... the go-forward perimeter), operating in 54 countries under two brands - Atos for services and ... The Staging Center Manager leads a team of staging technicians and field engineers while ...

With us, you get the freedom to go further - no matter your role. That means developing, delivering ... Work closely with project teams, enterprise developers, systems analysts, data scientists, and ...

Coordinate internal stakeholders across Sales Engineering, Product, Delivery, and Executive ... Represent the voice of the customer internally to influence roadmap priorities, packaging, and go ...

Be Seen First

... go beyond the call of duty in order to achieve their key objectives. · Remain confident when ... The company emphasizes deep application expertise--working closely with engineers, OEMs ...

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Go Developer information

See Remote, OR salary details

$17

$52

$81

How much do go developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for go developer in Remote, OR is $52.79, according to ZipRecruiter salary data. Most workers in this role earn between $40.34 and $64.62 per hour, depending on experience, location, and employer.

What is a Go developer?

A Go Developer is a software engineer who specializes in using the Go programming language (also known as Golang) to build applications, systems, and services. Go Developers are often responsible for creating scalable and efficient back-end solutions, working with APIs, and optimizing performance. They may also collaborate with front-end developers, DevOps teams, and other stakeholders to deliver robust software products. Go is particularly popular for cloud services, networking tools, and distributed systems due to its simplicity and concurrency support.

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

To thrive as a Go Developer, you need a solid understanding of the Go programming language, concurrent programming principles, and software engineering fundamentals, often backed by a degree in computer science or related experience. Familiarity with tools such as Docker, Kubernetes, version control systems like Git, and cloud platforms is typically required, along with experience in RESTful API development. Strong problem-solving abilities, attention to detail, and effective communication skills set outstanding Go developers apart. These capabilities are vital to building robust, scalable, and maintainable software solutions that meet business and user needs.

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

Go Developers working on large-scale projects often encounter challenges related to managing dependencies, ensuring code maintainability, and optimizing performance. As projects grow, organizing packages and maintaining clear code structure become crucial for facilitating collaboration and minimizing technical debt. Additionally, Go's concurrency model, while powerful, requires careful design to avoid race conditions and ensure efficient resource utilization. Regular code reviews, automated testing, and clear documentation are essential practices to overcome these challenges and contribute effectively to large Go teams.

What is the difference between Go Developer vs Python Developer?

AspectGo DeveloperPython Developer
Required CredentialsBachelor's in Computer Science, experience with GoBachelor's in Computer Science, experience with Python
Work EnvironmentBackend services, cloud infrastructure, microservicesWeb applications, data analysis, automation
Employer & Industry UsageTech companies, startups, cloud providersWeb development, data science, automation firms

Both Go Developers and Python Developers work in software development but focus on different areas. Go Developers typically work on high-performance backend systems and microservices, while Python Developers often handle web applications, data analysis, and scripting. The choice depends on the project requirements and industry focus.

What are popular job titles related to Go Developer jobs in Remote, OR?

For Go Developer jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Go Developer jobs in Remote, OR look for?

The top searched job categories for Go Developer jobs in Remote, OR are:

Infographic showing various Go Developer job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 17% Part Time, and 7% Contract. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $109,796 per year, or $52.8 per hour.

Head of AI

Atos

OR • On-site, Remote

Full-time

Re-posted 12 days ago


Job description

About Atos Group
Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Position : Head of Artificial Intelligence
Role Summary
The Head of Artificial Intelligence Practice (North America) leads strategy, growth, delivery excellence, and talent for the AI portfolio across U.S. and Canada. This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery leaders to expand revenue and customer impact across industries.
Reporting and Scope
  • Reports to: Head of Data & AI - North America
  • Direct reports: AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix teams
  • Geography: United States and Canada (remote/hybrid depending on location)
  • Travel: Up to 25-40% (client sites, executive briefings, industry events)

Key Responsibilities
• Practice strategy and roadmap
    • Define the North America AI practice strategy aligned to corporate goals and market demand.
    • Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance.
    • Identify strategic bets (industries, partnerships, platforms) and prioritize investments for impact and scale.
    • Lead the delivery team for AI across NA including building and managing talent and ensuring ulitization targets for the team

• Portfolio, offerings, and thought leadership
    • Support Head of Advisory and Global Teams with packaged offerings and accelerators (POCs-to-production playbooks, reference architectures, reusable components).
    • Work with Head of Innovation industry-specific solutions (e.g., banking, retail, healthcare, telecom, public sector) with measurable outcomes.
    • Represent the company externally through speaking, publishing, analyst briefings, and customer success stories.

• Go-to-market and revenue growth
    • Own pipeline and bookings targets for AI services in North America; partner with sales, alliances, and marketing.
    • Help Represent the solutioning for strategic pursuits, including executive-level proposal narratives, value cases, and pricing models.
    • Help support the partner ecosystem with hyperscalers and AI platform vendors; drive co-sell motions where applicable.

• Delivery excellence and customer outcomes
    • Ensure high-quality delivery across AI engagements, with strong governance, risk management, and stakeholder communication.
    • Standardize delivery methodology for AI programs (discovery, prototyping, productionization, monitoring, continuous improvement).
    • Drive customer adoption, measurable business value, and referenceability through disciplined success management.

• Talent, org design, and culture
    • Build and scale a high-performing AI team: hiring plans, skills frameworks, career paths, and mentorship.
    • Upskill broader delivery teams through training programs, communities of practice, and internal enablement.
    • Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning.

• Governance, security, and responsible AI
    • Establish responsible AI standards (privacy, security, bias mitigation, explainability, model risk management).
    • Partner with security, legal, and compliance teams to ensure AI solutions meet client and regulatory requirements.
    • Define and monitor AI practice quality standards, including data governance, model lifecycle controls, and audits.

• Financial management and operations
    • Help support the Head of Data and AI P&L: revenue, gross margin, utilization, bench, subcontractor mix, and investment planning.
    • Set operating rhythm: QBRs, forecast accuracy, capacity planning, and delivery health dashboards.
    • Optimize delivery model (onshore/nearshore/offshore) to meet client needs and margin targets.

Required Qualifications
  • 15+ years of experience in technology consulting, product engineering, or enterprise technology leadership, with 8+ years in AI/ML/GenAI leadership.
  • Proven track record building and scaling an AI practice or portfolio with P&L responsibility and measurable revenue growth.
  • Strong understanding of modern AI stack: GenAI (LLMs), Agentic AI, ML, data engineering, AI platforms, MLOps/LLMOps, and cloud services (AWS/Azure/GCP).
  • Demonstrated experience delivering AI solutions end-to-end: discovery to production, monitoring, and continuous improvement.
  • Executive presence with ability to influence EVP-level stakeholders and lead complex deal pursuits.
  • Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders).
  • Knowledge of responsible AI, security, and privacy requirements for enterprise AI implementations.

Preferred Qualifications
  • Experience in IT services/consulting organizations operating with global delivery models (onshore/nearshore/offshore).
  • Domain expertise in one or more regulated industries (financial services, healthcare, telecom, government).
  • Partnership experience with hyperscalers and AI platform vendors; co-sell and alliance management success.
  • Hands-on experience with AI solution architecture, including retrieval-augmented generation (RAG), vector databases, and agentic workflows.
  • Advanced degree in Computer Science, Engineering, Data Science, or related field; MBA a plus.

Core Competencies
  • Strategic leadership and business building
  • Consultative selling and executive stakeholder management
  • AI engineering rigor and delivery governance
  • Productization mindset (offerings, accelerators, repeatability)
  • Talent development and organizational design
  • Cross-functional collaboration in matrix environments
  • Strong communication: narrative building, proposals, and presentations

Tools and Technologies (Representative)
  • Cloud: AWS, Microsoft Azure, Google Cloud Platform
  • AI/ML: Agentic AI, Python, PyTorch/TensorFlow, scikit-learn, MLflow (or equivalent), feature stores
  • GenAI: LLM APIs and platforms, prompt engineering, RAG patterns, evaluation frameworks, guardrails
  • Data: SQL, modern data warehouses/lakehouse platforms, streaming where needed
  • MLOps/LLMOps: CI/CD for models, monitoring/observability, model registry, governance tooling

Work Environment
  • Remote or hybrid within North America; may require proximity to major client hubs.
  • Travel expectation up to 25-40% based on client needs and business development cycles.
  • This role may require occasional work outside standard business hours to support executive meetings across time zones.

Equal Opportunity
The organization is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.