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Cloud Implementation Jobs in Portland, ME (NOW HIRING)

Arkatechture

Technical Lead, Data Analytics

Portland, ME · On-site +1

$100K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the investigation and resolution of complex customer issues involving data, analytics, and cloud platforms. * Perform root cause analysis and implement scalable, long-term solutions-not just ...

Arkatechture

Technical Lead, Data Analytics

Portland, ME · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the investigation and resolution of complex customer issues involving data, analytics, and cloud platforms. * Perform root cause analysis and implement scalable, long-term solutions-not just ...

Old Dominion Freight Line, Inc.

Systems Engineer II

Portland, ME · On-site

$78K - $97K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Assists administrators in the implementation of systems infrastructure * Provide support and ... Administer Google Cloud Identity and IAM services * Administer AWS IAM users, roles, policies ...

L. L. Bean, Inc.

Enterprise Information Architect I

Freeport, ME · On-site +1

$71.50 - $92.25/hr

... teams implement solutions that scale. You'll partner closely with our EIM Architecture team to ... Make hands-on GCP service selection and design decisions acrossBigQuery, Dataflow, Cloud Composer ...

Prudential

Lead, Software Engineer - Salesforce

Portland, ME · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Technology - Engineering & Cloud Are you interested in building capabilities that enable the ... You will code, test and debug new and existing applications as you implement capabilities to solve ...

Veritas Prime

JOB ID 12684: Software Developer

Yarmouth, ME · On-site

$101.96 - $104/hr

Veritas Prime has deep expertise in the cloud and hybrid consulting space with advisory, design, implementation, and support services. We are proud of our culture at Veritas Prime. We support one ...

Arkatechture

Software Engineer

Portland, ME · On-site +1

$90K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Investigate application, database, and cloud infrastructure issues within AWS environments. * Perform root cause analysis and implement long-term solutions to prevent recurring issues. * Build and ...

New

Arkatechture

Software Engineer

Portland, ME · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Investigate application, database, and cloud infrastructure issues within AWS environments. * Perform root cause analysis and implement long-term solutions to prevent recurring issues. * Build and ...

New

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Showing results 21-40

All JobsCloud Implementation JobsCloud Implementation Jobs in Portland, ME

Cloud Implementation information

See Portland, ME salary details

$39.9K

$105.9K

$171.9K

How much do cloud implementation jobs pay per year?

As of Aug 16, 2026, the average yearly pay for cloud implementation in Portland, ME is $105,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,200.00 and $123,800.00 per year, depending on experience, location, and employer.

What is the difference between Cloud Implementation vs Cloud Support Specialist?

AspectCloud ImplementationCloud Support Specialist
Primary RoleDeploys and configures cloud solutions for clients or organizationsProvides ongoing support and troubleshooting for existing cloud services
Required SkillsCloud architecture, deployment, scripting, project managementTroubleshooting, customer service, technical support, cloud platform knowledge
Work EnvironmentProject-based, involves planning and deployment phasesOperational, ongoing support and issue resolution
CertificationsCloud certifications (AWS, Azure, Google Cloud) often requiredCloud certifications helpful but less critical; focus on support skills

Cloud Implementation specialists focus on deploying and configuring cloud solutions, while Cloud Support Specialists handle ongoing support and troubleshooting. Both roles require cloud platform knowledge and certifications, but their responsibilities and work environments differ significantly.

What is cloud implementation?

Cloud implementation refers to the process of deploying and integrating cloud-based services, applications, or infrastructure into an organization’s existing IT environment. This involves selecting the appropriate cloud model (public, private, or hybrid), migrating data and applications, and configuring security and compliance settings. Cloud implementation aims to improve scalability, flexibility, and cost-effectiveness for businesses by leveraging cloud technologies. Professionals in this field manage the transition, ensure minimal disruption, and optimize cloud resources to meet business needs.

What are some common challenges faced during cloud implementation projects, and how can professionals prepare for them?

Cloud implementation professionals often encounter challenges such as integrating legacy systems, ensuring data security and compliance, and managing stakeholder expectations. To prepare, it's important to develop strong project management skills, stay updated on cloud security best practices, and maintain clear communication with cross-functional teams. Proactively identifying potential roadblocks and working closely with IT, security, and business units can help ensure a smoother transition to the cloud.

What are the key skills and qualifications needed to thrive as a cloud implementation specialist, and why are they important?

To thrive as a Cloud Implementation Specialist, you need expertise in cloud platforms (like AWS, Azure, or Google Cloud), system integration, and a solid understanding of networking and security principles, usually backed by a relevant degree or certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect Expert. Familiarity with automation tools (Terraform, Ansible), migration methodologies, and cloud management consoles is essential. Strong problem-solving abilities, communication skills, and adaptability help you collaborate with stakeholders and address technical challenges. These competencies ensure smooth cloud adoption, secure deployments, and effective alignment with business objectives.

What are popular job titles related to Cloud Implementation jobs in Portland, ME?

For Cloud Implementation jobs in Portland, ME, the most frequently searched job titles are:

Cloud Implementation jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Auburn, ME • On-site

Other

Re-posted 25 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply