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Remote Ai Infrastructure Engineer Jobs in Indiana

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... cloud-native infrastructure. This is an excellent opportunity for talented engineers who are ...

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... cloud-native infrastructure. This is an excellent opportunity for talented engineers who are ...

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Remote Ai Infrastructure Engineer information

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Indiana?

The most popular types of Ai Infrastructure Engineer jobs in Indiana are:

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Indiana?

For Remote Ai Infrastructure Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Indiana look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Indiana are:

What cities in Indiana are hiring for Remote Ai Infrastructure Engineer jobs?

Cities in Indiana with the most Remote Ai Infrastructure Engineer job openings:

Infographic showing various Remote Ai Infrastructure Engineer job openings in Indiana as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution.

Senior Database Reliability Engineer

Fort Wayne, IN โ€ข Remote

micro1 AI
Software Developmentย โ€ขย 11 - 50 employees

$220K - $260K/yr

Part-time

Medical, Retirement, PTO

Posted 10 days ago


Job description

Senior Database Reliability Engineer:


Job Type: Full-time


Location: Remote


Job Summary:

Join our team as a Senior Database Reliability Engineer, where youโ€™ll play a central role in architecting, optimizing, and ensuring the stability of mission-critical PostgreSQL environments. You will leverage your deep technical expertise to drive database reliability, high availability, and performance at scale within a cutting-edge, cloud-native infrastructure. This is an excellent opportunity for talented engineers who are passionate about building robust data systems and thrive in collaborative, fast-paced environments.


Key Responsibilities:

โ€ข Design, implement, and manage highly available, resilient PostgreSQL database architectures using AWS RDS and Aurora PostgreSQL.

โ€ข Optimize database performance by analyzing query execution plans, tuning indices, and implementing advanced partitioning strategies.

โ€ข Ensure disaster recovery readiness through robust backup, replication, and failover processes.

โ€ข Diagnose and resolve slow queries, locks, deadlocks, and complex bottlenecks impacting large-scale databases.

โ€ข Automate routine maintenance tasks and promote operational excellence across all database environments.

โ€ข Collaborate cross-functionally to support new features, data migrations, and ongoing application scaling.

โ€ข Maintain comprehensive documentation and demonstrate excellent written and verbal communication skills.


Required Skills and Qualifications:

โ€ข 5+ years of experience managing and optimizing PostgreSQL databases in production settings.

โ€ข Expert-level knowledge of PostgreSQL internals, query tuning, indexing, partitioning, and replication.

โ€ข Proven hands-on experience with AWS RDS and Aurora PostgreSQL, including backup, recovery, and high-availability design.

โ€ข Strong analytical abilities in troubleshooting slow queries, execution plans, locks, and deadlocks.

โ€ข Demonstrated experience maintaining large-scale, high-traffic databases with millions of rows.

โ€ข Deep care for clear, proactive written and verbal communication.

โ€ข Ability to work independently and collaboratively within a remote team.


Preferred Qualifications:

โ€ข Experience supporting data platforms, analytics workloads, ETL processes, and operational databases.

โ€ข Familiarity with Infrastructure as Code (Terraform), CI/CD pipelines, and cloud-native service environments.

โ€ข Exposure to supporting modern data architectures and advanced monitoring tools.


Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $120,000-$150,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.