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Remote Azure Security Engineer 500 Jobs in Indiana

Preventia

Software Developer

Indianapolis, IN · On-site +1

We have a flexible work environment with a mixture of remote work and in office hours ... Experience with cloud native applications in Azure, AWS, etc. * Experience with HIPAA secure health ...

Rolls-Royce

Product Security Specialist

Indianapolis, IN · On-site +1

Rolls-Royce has been recognized as the top employer in the Engineering & Manufacturing category on ... For fully remote roles, employees can live in any state except Idaho, Nebraska, Nevada, Vermont ...

eimagine

Power Platform Developer

Indianapolis, IN · Remote

... intentionally remote-enabled environment. Due to our growth, we're seeking a Microsoft Power ... Use version control (Git) and development management tools (Azure DevOps, Jira), and document code ...

Belden Inc

Architect, Security Products

Carmel, IN · Remote

$61.50 - $79.50/hr

... remote access, secure industrial networking, asset visibility/monitoring, hardening, zero trust ... Develop enablement material and deliver training for sales engineers, partners and customers.

Harris

This is a role for engineers who enjoy asking "why," digging into complex problems, and ... security, and compliance standards. What your impact will be: * Investigate and solve complex ...

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All JobsAzure Security Engineer 500 JobsRemote Azure Security Engineer 500 JobsRemote Azure Security Engineer 500 Jobs in Indiana

Remote Azure Security Engineer 500 information

What does a remote Azure Security Engineer do?

A Remote Azure Security Engineer is responsible for designing, implementing, and maintaining security solutions within Microsoft Azure cloud environments, all while working remotely. They manage security configurations, monitor for threats, respond to incidents, and ensure compliance with security standards. Their work helps protect sensitive data, applications, and cloud infrastructure from cyber threats. Additionally, they often collaborate with IT and development teams to integrate security best practices into cloud-based systems.

What are the key skills and qualifications needed to thrive as a remote Azure Security Engineer, and why are they important?

To thrive as a Remote Azure Security Engineer, you need expertise in cloud security concepts, Azure platform services, and identity and access management, typically supported by a degree in computer science or IT and certifications like Microsoft Certified: Azure Security Engineer Associate. Familiarity with tools such as Azure Security Center, Azure Sentinel, and scripting languages like PowerShell is essential. Strong problem-solving, analytical thinking, and effective remote communication are crucial soft skills in this role. These competencies ensure the secure design, implementation, and monitoring of cloud environments, protecting organizational assets and data from evolving threats.

What is the difference between Remote Azure Security Engineer 500 vs Remote Cloud Security Engineer?

AspectRemote Azure Security Engineer 500Remote Cloud Security Engineer
CertificationsAzure Security Engineer Associate, Microsoft CertifiedVaries; often includes CISSP, CompTIA Security+
Work EnvironmentPrimarily Azure cloud platform, Microsoft ecosystemMultiple cloud platforms, including AWS, Azure, GCP
Industry UsageOrganizations using Microsoft AzureOrganizations with multi-cloud or cloud-agnostic strategies
Search & Comparison IntentFocus on Azure-specific security rolesBroader cloud security roles across platforms

The Remote Azure Security Engineer 500 specializes in securing Microsoft Azure environments, requiring Azure-specific certifications and skills. In contrast, the Remote Cloud Security Engineer covers security across multiple cloud platforms, often with broader certifications. The choice depends on whether you focus on Azure or a multi-cloud approach.

What are some common challenges faced by remote Azure Security Engineers, and how can they be addressed?

Remote Azure Security Engineers often encounter challenges such as coordinating with distributed teams, staying updated with evolving security threats, and ensuring consistent implementation of security policies across cloud environments. To address these, strong communication skills, regular participation in virtual meetings, and leveraging collaboration tools are essential. Additionally, keeping up with Microsoft’s security updates and participating in ongoing training can help engineers stay proactive and effective in their roles.
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What job categories do people searching Remote Azure Security Engineer 500 jobs in Indiana look for? The top searched job categories for Remote Azure Security Engineer 500 jobs in Indiana are:
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Remote Azure Security Engineer 500 jobs near you
Infographic showing various Remote Azure Security Engineer 500 job openings in Indiana as of August 2026, with employment types broken down into 63% Full Time, 6% Part Time, and 31% Contract. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Indianapolis, IN • Remote

Full-time

Re-posted 18 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