Cloud DevOps Engineer
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Role details
Tech stack
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Job description
We are seeking a DevOps / Cloud Engineer to design, operate, and scale critical data infrastructure and platform services supporting enterprise applications and development teams. This role focuses on maintaining high-availability distributed systems, enabling secure and automated deployments, and supporting data platforms such as Elasticsearch and MongoDB at scale., * Manage, maintain, and optimize distributed data platforms including Elasticsearch clusters and MongoDB replica sets
- Support scalability, performance tuning, upgrades, and reliability of production data systems
- Design and implement infrastructure automation and deployment solutions using DevSecOps practices
- Support software development teams by providing reliable CI/CD pipelines, environments, and operational tooling
- Develop automation and operational scripts using Bash and Python
- Monitor system health, performance, and availability across cloud and on-prem environments
- Support system configuration, troubleshooting, and incident resolution for production services
- Collaborate with engineering teams to ensure scalable and secure system design
- Work with structured data formats (including JSON) across services and integrations
- Contribute to system security, compliance, and architecture alignment with organizational standards
Requirements
The ideal candidate has strong infrastructure engineering experience, a background supporting development teams, and hands-on expertise with scripting, automation, and production-grade system operations., * 7+ years of overall IT experience across system administration, software engineering, or DevSecOps engineering
- 2+ years of experience managing Elasticsearch clusters, MongoDB replica sets, or similar distributed data systems
- 3+ years of experience supporting software development teams and production environments
- 2+ years of experience with scripting in Bash and Python
- Strong experience working with distributed systems, cloud infrastructure, and automation tools
- Experience operating in production environments with focus on reliability and performance, * 15+ years of overall IT experience across systems, engineering, or DevSecOps roles
- 5+ years of experience in a DevSecOps, Cloud Engineering, or Platform Engineering role
- Hands-on experience managing, upgrading, and scaling Elasticsearch clusters
- Experience with Elasticsearch index design, query optimization, and performance tuning
- Experience migrating Elasticsearch data across different sharding strategies
- Experience with MongoDB replication, sharding, and cluster architecture design
- Strong experience working with JSON-based data structures and APIs
- Experience with infrastructure automation tools such as CloudFormation, Jenkins, and Git-based workflows
- Familiarity with AI-based or ML-enabled infrastructure solutions
- Experience supporting Authorization & Accreditation (A&A) processes or compliance environments
- Strong understanding of distributed system design, scalability, and cloud architecture
Benefits & conditions
What we offer:
- Flexible time off
- Full medical coverage
- 401(k) with company match
- Referral bonuses
- Performance bonuses
- Life insurance and disability coverage
- Tuition and training reimbursement
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