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Overnight Site Reliability Engineer Remote Jobs in Indiana

SAIC

Senior Software Engineer

Crane, IN · On-site +1

$122K - $161K/yr

Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a highly motivated and ... Troubleshoot software and system issues, ensuring functionality, performance, and reliability.

BF&S Civil Engineers

Site Project Manager

Lafayette, IN · On-site +1

POSITION SUMMARY Butler, Fairman and Seufert (BF&S) is seeking Project Manager/Engineer to work out ... WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS Work independently with minimal supervision both remote ...

KEYENCE

Field Application Engineer '27

Indianapolis, IN · On-site +1

$53K - $80K/yr

Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ... Willingness to travel (60-100%), including overnight * Valid driver's license and personal vehicle

Solenis

... meet their reliability, production and sustainability targets. This is the role for a water ... Bachelor's Degree in a technical field preferred (Chemistry, Engineering, Environmental Science ...

Siemens

$18 - $50/hr

As an Electronics Reliability Product Engineering Intern , you will support the development of ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Siemens

$18 - $50/hr

As an Electronics Reliability Product Engineering Intern , you will support the development of ... Comfortable working in a remote work environment preferably in the California region * Experience ...

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Overnight Site Reliability Engineer Remote information

What is an overnight site reliability engineer?

An Overnight Site Reliability Engineer (SRE) is a professional responsible for ensuring the reliability, performance, and uptime of software systems during overnight or off-peak hours, typically working remotely. Their main tasks include monitoring system health, responding to incidents, troubleshooting outages, and implementing fixes to maintain service availability. SREs also work to automate processes, improve system resilience, and collaborate with other engineering teams to prevent future issues. Working overnight ensures that critical systems remain operational and issues are addressed promptly, even outside of standard business hours.

What skills and qualifications are needed to be an overnight site reliability engineer?

To thrive as an Overnight Site Reliability Engineer (Remote), you need strong expertise in systems administration, incident response, automation, and a solid background in computer science or related fields. Proficiency with monitoring tools (like Prometheus or Datadog), cloud platforms (such as AWS or GCP), scripting languages (Python, Bash), and certifications like AWS Certified SysOps Administrator are highly beneficial. Exceptional problem-solving skills, attention to detail, and effective remote communication help you excel in high-pressure overnight scenarios. These skills ensure system reliability, minimize downtime, and maintain seamless operations during critical off-hours.

What are the unique challenges and expectations for an overnight site reliability engineer working remotely?

As an Overnight Site Reliability Engineer working remotely, you'll often handle critical incidents that arise outside of standard business hours, so strong problem-solving skills and the ability to work independently are crucial. Communication is key, as you'll need to coordinate with team members in different time zones and document incidents clearly for seamless handoffs. You may also be tasked with proactive monitoring and maintenance activities during quieter periods, making self-motivation and attention to detail especially important. The role offers valuable exposure to high-impact issues and can accelerate your expertise in incident management and system reliability.

What is the difference between Overnight Site Reliability Engineer Remote vs Overnight DevOps Engineer Remote?

AspectOvernight Site Reliability Engineer RemoteOvernight DevOps Engineer Remote
Primary FocusEnsuring system reliability, uptime, and incident responseAutomating deployment, integration, and infrastructure management
Required SkillsMonitoring, incident management, scripting, system troubleshootingCI/CD pipelines, automation, cloud platforms, scripting
Work EnvironmentRemote, on-call shifts, collaboration with SRE teamsRemote, development and deployment focus, collaboration with development teams
CertificationsLinux, AWS, Google Cloud, or Azure certifications often preferredCloud certifications, Docker, Kubernetes, CI/CD tools

While both roles involve working remotely and require cloud and scripting skills, the Overnight Site Reliability Engineer Remote primarily focuses on maintaining system reliability and incident response, whereas the Overnight DevOps Engineer Remote emphasizes automation, deployment, and infrastructure management. Understanding these differences helps candidates align their skills with the right role.

What are the most commonly searched types of Site Reliability Engineer Remote jobs in Indiana?

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Overnight Site Reliability Engineer Remote jobs near you

Generative AI Automation Engineer - Remote Job

Gary, IN • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 24 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