Cloud DevOps Engineer

Anonymous Employer
Chantilly, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Chantilly, United States of America

Tech stack

API
Artificial Intelligence
Bash
Cloud Computing
Cloud Engineering
System Configuration
Data Infrastructure
Data Structures
Shard (Database Architecture)
DevOps
Distributed Data Store
Distributed Systems
Elasticsearch
JSON
Python
MongoDB
Operational Databases
Performance Tuning
Query Optimization
Software Engineering
Scripting (Bash/Python/Go/Ruby)
Enterprise Software Applications
Cloudformation
Git Flow
Infrastructure Automation Frameworks
Information Technology
Deployment Automation
Data Management
Devsecops
Jenkins

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.

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., 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

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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