Center for Computational Technologies

SRE/DevOps Engineer

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We are looking for a SRE / DevOps Engineer to build and scale enterprise\-grade cloud platforms. This is a balanced role (70% engineering, 30% operations) focused on:
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  • building reliable and scalable cloud infrastructure,<\/span>
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  • driving automation and platform engineering,<\/span>
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  • improving observability and operational maturity,<\/span>
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  • enabling resilient production systems.<\/span><\/span>
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    This role is ideal for engineers who are curious about how systems behave in production, enjoy debugging and automation, and want to grow into strong Site Reliability Engineers over time.
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    Work closely with senior engineers and platform teams to improve reliability, scalability, deployment workflows, and production operations across enterprise\-grade cloud platforms.
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    Key Responsibilities<\/b>
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    • Design and implement scalable AWS infrastructure for production systems
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    • Build Infrastructure\-as\-Code modules for consistent and reproducible environments
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    • Develop and maintain CI/CD pipelines for deployment, testing, and validation
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      Build automation for: <\/b>deployment workflows, system health verification, smoke testing, recovery validation and operational efficiency
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      • Contribute to monitoring, alerting, logging, and observability systems
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      • Participate in production issue debugging, incident response, and system stability improvements
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      • Collaborate across engineering teams to improve platform capabilities and operational maturity
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      • Contribute to scalable and cost\-aware cloud infrastructure design alongside senior engineers
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      • Improve reliability and reduce operational toil through scripting, automation, and reusable tooling
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      • Work on secure, resilient, and highly available cloud environments
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      • Support modernization and improvement of existing systems without disrupting production stability
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        Requirements<\/h3>
        • 2\u20134 years of experience in DevOps / SRE / Cloud Engineering roles
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          Strong hands\-on experience with:<\/b>
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          AWS production environments
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          Infrastructure\-as\-Code (Terraform or CloudFormation)
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          CI/CD pipelines (Jenkins, GitHub Actions, or similar)
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          • Strong scripting/programming skills in Python or Bash (must)
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          • Proven experience with debugging production issues, improving system stability, automating infrastructure or operational workflows, and working with cloud\-native systems.
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          • Good understanding of distributed systems, cloud architecture, observability, scalability, and cost\-aware infrastructure practices.
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          • Familiarity with containerized environments such as Docker, Kubernetes, or ECS
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          • Strong problem\-solving mindset with willingness to learn and take ownership
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          • Good communication and collaboration skills<\/span>
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            Tech Stack<\/b>
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            • AWS (RDS, Lambda, EventBridge, ECS/Kubernetes, CloudWatch, IAM, VPC)
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            • Terraform / CloudFormation (IaC)
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            • CI/CD: Jenkins, GitHub Actions
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            • Observability: CloudWatch, Prometheus, Grafana
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            • Scripting/Development: Python, Bash (Node.js a plus)
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            • Chaos Engineering tools (AWS FIS, Gremlin, etc.) are good to have, not mandatory
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              Good to Have<\/b>
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              • Exposure to production incident handling or on\-call support
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              • Experience with Kubernetes or ECS
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              • Exposure to monitoring, alerting, and observability tooling
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              • Basic understanding of reliability engineering concepts
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              • Exposure to database operations, backup/recovery, or disaster recovery concepts
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              • Background in backend engineering before moving to DevOps/SRE
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              • Curiosity toward automation, reliability engineering, and platform scalability
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                Benefits<\/h3>
                • Opportunity to work on large\-scale cloud platforms and mission\-critical systems
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                • Work closely with experienced SRE and platform engineering teams
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                • Exposure to advanced areas such as Digital Twin, AI/ML systems, and cloud\-native architectures
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                • Opportunity to grow into reliability engineering and platform ownership roles
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                • Work with a collaborative and engineering\-focused team culture
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                • Be part of a company passionate about solving real engineering problems through technology
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