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DevOps Engineer/ Site Reliability Engineer
DevOps Engineer/ Site Reliability Engineer
Adia Health's logo

DevOps Engineer/ Site Reliability Engineer

Kavita Singh's profile picture
Posted by Kavita Singh
5 - 12 yrs
Best in industry
Bengaluru (Bangalore)
Skills
DevOps
skill iconKubernetes
skill iconDocker
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)
CI/CD
skill iconGitHub
HIPAA
SOC2
Computer Networking
skill iconPython
Scripting language
Automation
argocd
Terraform

Company Overview 

Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge. 

  

Position Overview 

We are seeking a talented and experienced Site Reliability Engineer/DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the reliability, scalability, and performance of our infrastructure and applications. You will collaborate closely with development, operations, and product teams to automate processes, implement best practices, and improve system reliability. 

  

Key Responsibilities 

  • Design, implement, and maintain highly available and scalable infrastructure solutions using modern DevOps practices. 
  • Automate deployment, monitoring, and maintenance processes to streamline operations and increase efficiency. 
  • Monitor system performance and troubleshoot issues, ensuring timely resolution to minimize downtime and impact on users. 
  • Implement and manage CI/CD pipelines to automate software delivery and ensure code quality. 
  • Manage and configure cloud-based infrastructure services to optimize performance and cost. 
  • Collaborate with development teams to design and implement scalable, reliable, and secure applications. 
  • Implement and maintain monitoring, logging, and alerting solutions to proactively identify and address potential issues. 
  • Conduct periodic security assessments and implement appropriate measures to ensure the integrity and security of systems and data. 
  • Continuously evaluate and implement new tools and technologies to improve efficiency, reliability, and scalability. 
  • Participate in on-call rotation and respond to incidents promptly to ensure system uptime and availability. 

  

Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or related field 
  • Proven experience (5+ years) as a Site Reliability Engineer, DevOps Engineer, or similar role 
  • Strong understanding of cloud computing principles and experience with AWS 
  • Experience of building and supporting complex CI/CD pipelines using Github 
  • Experience of building and supporting infrastructure as a code using Terraform 
  • Proficiency in scripting and automating tools 
  • Solid understanding of networking concepts and protocols 
  • Understanding of security best practices and experience implementing security controls in cloud environments 
  • Knowing modern security requirements like SOC2, HIPAA, HITRUST will be a solid advantage. 
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Adia Health

Founded :
2024
Type :
Services
Size :
20-100
Stage :
Bootstrapped

About

Adia is transforming healthcare by combining proprietary clinical AI with instant provider payments, solving both the diagnostic accuracy crisis and the financial barriers that plague medical providers. In an era where traditional clinical decision support systems add complexity to clinicians' workflows, our platform orchestrates and automates the entire diagnostic journey while ensuring providers are paid the moment care is delivered.


Adia's breakthrough lies in seamlessly integrating AI decision automation with instant payment solutions. This combination transforms the diagnostic process from a complex maze into a streamlined experience for both providers and patients. Clinicians can finally practice medicine without administrative constraints, improving diagnostic accuracy while boosting provider profitability.


Our platform increases provider revenue through AI-powered diagnostic recommendations. Adia's clinical intelligence identifies over 40% more medically appropriate tests than traditional practice patterns by analyzing patient data and applying clinically validated protocols. This proactive approach ensures comprehensive patient care while substantially increasing revenue per visit. Combined with instant payments, providers realize immediate financial benefits while delivering superior patient outcomes.

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