Senior DevOps Analyst at Datalab USA

Germantown, Maryland, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

NoVisa

Technology, AnalyticsIndustries

Requirements

3-5 years of experience in DevOps, Cloud Operations, or Systems Administration
Bachelor's degree in Computer Science or IT with minor in Cyber Security
Experience managing Linux and Windows server environments
Hands-on experience with AWS services and architecture
Familiarity with Python scripting for automation and operational tasks
Working knowledge of Terraform and infrastructure as code principles (modules, state management, version control)
Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI)
Knowledge of cloud security frameworks and compliance standards
Familiarity with monitoring and logging tools
Excellent problem-solving and communication skills
Preferred Qualifications
AWS Certified Solutions Architect – Associate (or equivalent certification)
Familiarity with other cloud platforms (Azure, GCP)
Exposure to containerization (Docker, Kubernetes)
Familiarity with Snowflake
Experience with monitoring and logging stacks
Basic knowledge of networking architecture and secure communication practices

Responsibilities

Manage and support Linux and Windows production environments
Deploy and maintain AWS services (EC2, S3, IAM, VPC, etc.)
Support with AWS solutions tailored to business needs
Assist implementing cloud security best practices (IAM policies, least privilege, network isolation, encryption, etc.)
Implementation and continuous improvement of CI/CD pipelines with GitHub Actions (workflows that integrate with APIs)
Write and support Python scripts for automation, monitoring, and workflows
Assist in improving deployment processes, release management, and environment consistency
Contribute to GitHub workflow practices (branching, PRs, version control)
Implement cloud security and compliance best practices across environments
Ensure secure handling of API keys, tokens, and secrets in compliance with company standards
Support developers in troubleshooting API connectivity and authentication issues
Monitor infrastructure and application health, alerting, and logging using modern tools (e.g., CloudWatch, etc.)
Configure alerting, dashboards, and log collection for proactive system reliability
Participate in incident investigations, root cause analysis, and postmortem
Work with development and security teams to embed best practices and collaborate on deployments
Help develop Junior DevOps Analysts, helping raise team capabilities
Document processes, runbooks, and configurations for team knowledge sharing

Skills

Linux

Windows

AWS

Terraform

Python

CI/CD

GitHub Actions

EC2

IAM

VPC

Git

Datalab USA

Data analytics and marketing solutions provider

About Datalab USA

DataLab USA provides data-driven analytics and marketing solutions tailored for both consumers and businesses. The company creates over 1,000 predictive models annually to help clients understand consumer behavior and improve their marketing strategies. DataLab stands out from competitors by combining technical expertise with a deep understanding of marketing, offering exclusive access to extensive consumer data files. The goal is to deliver customized solutions that drive measurable marketing success for clients.

Germantown, IllinoisHeadquarters

1979Year Founded

VENTURE_UNKNOWNCompany Stage

Data & Analytics, Consumer GoodsIndustries

51-200Employees

Risks

Emerging AI-driven platforms offer similar services at lower costs, increasing competition.

Stricter data protection regulations may limit DataLab's access to consumer data.

Tech giants' advancements in machine learning could outpace DataLab's capabilities.

Differentiation

DataLab USA builds over 1,000 predictive models annually, showcasing its technical expertise.

The company offers exclusive access to over 20,000 linked consumer data attributes.

DataLab USA has a proven track record in predictive modeling competitions.

Upsides

Increased demand for personalized marketing boosts DataLab's predictive modeling services.

AI integration in marketing enhances DataLab's precise targeting and customer insights.

Cloud-based solutions expand DataLab's scalable and flexible data processing capabilities.

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