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AI-Powered Job Summary
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As a DevOps Engineer, you will play a central role in supporting and optimizing production infrastructure within a dynamic cloud-based environment. You'll focus on automating systems, improving deployment processes, enhancing scalability, and ensuring the reliability of mission-critical services. Working closely with cross-functional teams, you'll build robust solutions using modern IaaS tools, optimize cloud operations, and contribute to the ongoing transformation of healthcare technology through innovation and data-driven design. This position offers an exciting opportunity to work on complex systems with a direct impact on performance, security, and efficiency in a rapidly growing organization.
Accountabilities:
- Automate and optimize cloud infrastructure and services across AWS environments
- Create, test, and secure Windows, Linux, and serverless solutions to support internal teams and production systems
- Design and maintain infrastructure-as-code templates using tools such as Terraform and CloudFormation
- Capture system, service, and security telemetry for dashboards, reports, and analytics
- Collaborate with vendor support teams to resolve technical issues, perform upgrades, and drive continuous improvement
- Manage CI/CD pipelines and streamline product releases using tools like Jenkins and GitHub Actions
- Troubleshoot and resolve incidents, ensuring maximum uptime, availability, and security
- Evaluate and implement new technologies to enhance infrastructure performance and reduce costs
- Work directly with developers and operations teams to ensure smooth integrations and consistent deployment practices
- 8+ years of professional experience, including at least 5 years in complex technical support or DevOps environments
- Strong expertise with AWS services (RDS, S3, IAM, Lambda, SSM) and infrastructure tools such as Terraform, Kubernetes, Argo CD, and Crossplane
- Proficiency in at least one programming or scripting language (Python, Bash, or equivalent)
- Experience managing CI/CD pipelines using tools like Jenkins or GitHub
- Deep understanding of virtualization, SQL databases (PostgreSQL/MySQL), and cloud security best practices
- Proven ability to design, deploy, and maintain large-scale, high-availability systems
- Excellent problem-solving, analytical, and communication skills
- Technical certifications (AWS, Microsoft) and experience with distributed systems (Kafka, Hadoop, Elasticsearch) are a strong plus
- Competitive compensation package with performance-based rewards
- Comprehensive medical, dental, and vision insurance
- Flexible work options, including remote-friendly opportunities
- 401(k) retirement plan and generous paid time off
- Opportunities for professional development and certifications
- Collaborative, mission-driven culture focused on innovation and learning
- Chance to work on projects that meaningfully improve healthcare outcomes and technology sustainability
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job's core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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