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Analytica LLC fully complies with all local and state regulations regarding the display of salary ranges. If required, the URL below is specifically for potential hires. The salary offered for a position is determined based on various factors, including applicants' skills, job responsibilities, relevant experience, degrees, certifications, market considerations, and project financials. Our compensation packages include not only base salary but also a range of incentive bonus programs to reward outstanding performance and contributions.

Follow this link to obtain salary ranges by positions: Pay Transparency - Analytica

Review our open positions and apply to the positions that match your qualifications: Search All Openings

Hiring Process at Analytica

At Analytica, we follow a structured hiring process to ensure we select the best candidates for our team. Here is an overview of our hiring process:

Recruiter's Call: The process begins with a recruiter reaching out to potential candidates. During this initial call, the recruiter will provide an overview of the position and gather preliminary information about the candidate's background and experience.

Criteria Assessment: Criteria Assessment is a quick, online test that helps the hiring team understand the candidate's skills, problem-solving ability, and work style to ensure the best fit for the role. It takes about 20 minutes and can be completed anytime on any device, phone or computer—no special preparation needed.

Rounds of Interviews: Based on the initial call and the hiring manager's approval, the recruiter will establish direct interviews with the team. There may be multiple rounds of interviews that is designed to assess the candidate's qualifications, skills, and fit for the role.

Final Decision: After the interviews, the hiring team will review the candidate's performance and make a final decision. If the team decides to present an offer, the recruiter will directly call the candidate to discuss details such as salary, benefits, start date, etc. Others will also be notified through email or a call.

Use of AI in the Hiring Process

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

Application Review: AI tools may help identify skills and experiences relevant to the role.
Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

Impersonation Scams

We would like to bring to your attention the increasing number of impersonation scams targeting organizations worldwide. These scams involve individuals pretending to be someone from the hiring team such as HR manager or recruiters, to deceive you into providing sensitive information or making unauthorized transactions.

To protect yourself, please follow these guidelines:

Verify the Sender: Always double-check the sender's email address and contact details. If something seems off, do not hesitate to reach out to the person directly using a known and trusted communication method.

Be Cautious with Requests for Sensitive Information: Be wary of any unexpected requests for sensitive information, such as passwords, financial details, or personal data. Legitimate organizations will never ask for such information via email.

Look for Red Flags: Pay attention to any unusual language, spelling mistakes, or urgent requests that pressure you to act quickly. These are common signs of a scam.

Report Suspicious Activity: If you receive a suspicious email or message, report it immediately to our IT department. Do not respond or click on any links or attachments.

Stay Informed: Keep yourself updated on the latest scam tactics and best practices for cybersecurity. Regularly attend training sessions and read our security bulletins.

When receiving email communication from Analytica, please ensure that the email domain is applytojob.com or analytica.net to verify its authenticity.

By staying vigilant and following these guidelines, we can help protect ourselves from impersonation scams.

Cloud Engineer

Bethesda, MD

Full Time

Experienced

Analytica is seeking a Mid-Level Cloud Engineer (Azure) to design, deploy, and maintain secure, scalable cloud infrastructure supporting federal data, analytics, and AI modernization initiatives. This role is hands-on and delivery-focused, working within established Azure architectures to implement cloud infrastructure, automate deployments, manage environments, and support the reliability and security of mission-critical applications and data platforms.

The Cloud Engineer will work closely with data engineers, software engineers, architects, cybersecurity professionals, and government stakeholders to provision and operate Azure resources that support data pipelines, analytics platforms, applications, and AI/ML workloads. The ideal candidate is comfortable working in a regulated environment and has strong experience with Azure infrastructure, Infrastructure as Code, CI/CD, networking, security, and cloud operations.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.

Key Responsibilities

Design, deploy, configure, and maintain Azure cloud infrastructure supporting data engineering, analytics, application, and AI/ML workloads.
Provision and manage Azure resources including Azure Virtual Networks, subnets, NSGs, storage accounts, Azure Key Vault, Azure SQL, Azure Kubernetes Service (AKS), Azure Monitor, and Azure Compute services.
Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions to automate infrastructure and application deployments.
Configure and manage Azure networking, including VNets, private endpoints, DNS, routing, firewalls, load balancing, and connectivity between cloud resources and external environments.
Implement cloud security controls including RBAC, managed identities, secrets management, encryption, network segmentation, and least-privilege access.
Support the secure integration of Azure infrastructure with data platforms such as Azure Databricks, Azure Data Factory, ADLS Gen2, Synapse Analytics, and Azure SQL.
Partner with Data Engineers to ensure the underlying cloud infrastructure supports reliable, scalable, and performant data pipelines and analytics workloads.
Support Databricks infrastructure and workspace integrations, including networking, identity, access controls, compute configuration, and connectivity to Azure resources.
Configure monitoring, logging, alerting, and operational dashboards using Azure Monitor, Log Analytics, Application Insights, and related Azure services.
Troubleshoot infrastructure, networking, deployment, performance, and availability issues across development, test, and production environments.
Automate routine infrastructure and operational processes using PowerShell, Azure CLI, Python, or similar scripting tools.
Implement cloud cost-management and optimization practices, including resource monitoring, right-sizing, tagging, and appropriate use of compute and storage.
Support disaster recovery, backup, high availability, and business continuity requirements for cloud-hosted workloads.
Maintain technical documentation for cloud environments, infrastructure configurations, deployment processes, and operational procedures.
Contribute to cloud architecture and engineering standards and help identify opportunities to improve scalability, reliability, security, and automation.
Work within Agile teams and participate in sprint planning, technical discussions, code reviews, demonstrations, and troubleshooting activities.
Support compliance and security requirements associated with federal cloud environments and applicable agency policies and standards.

Required Qualifications

U.S. citizenship with the ability to obtain a U.S. Federal security clearance.
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent professional experience.
3+ years of experience in cloud engineering, DevOps, infrastructure engineering, or a related field.
3+ years of hands-on experience with Microsoft Azure.
Experience deploying and managing Azure infrastructure, networking, security, and compute resources.
Experience with Infrastructure as Code, using Terraform, Bicep, ARM templates, or similar technologies.
Experience developing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or similar tools.
Proficiency with Azure CLI and/or PowerShell for cloud administration and automation.
Experience with Azure identity and security concepts including Microsoft Entra ID, RBAC, managed identities, Key Vault, private endpoints, and network security controls.
Experience troubleshooting cloud infrastructure, deployments, networking, and application/platform issues.
Experience working with Git-based source control and collaborative software development practices.
Strong understanding of cloud networking concepts including VNets, subnets, routing, DNS, firewalls, load balancing, and private connectivity.

Preferred Qualifications

Experience supporting Azure Databricks, Azure Data Factory, ADLS Gen2, Synapse Analytics, or Azure SQL environments.
Experience supporting federal, government, or other highly regulated environments.
Experience with Azure Policy, Microsoft Defender for Cloud, Azure Monitor, Log Analytics, and Microsoft Purview.
Experience with containerization technologies such as Docker and Kubernetes/AKS.
Experience with Python or other scripting languages for automation.
Experience implementing cloud security and compliance controls aligned with FedRAMP, NIST, or other federal security frameworks.
Experience with CI/CD and DevSecOps practices, including automated security and compliance checks.
Experience supporting machine learning or AI workloads in Azure, including Azure Machine Learning or MLflow.
Experience with cloud cost management and FinOps practices.
Azure certifications such as AZ-104 (Azure Administrator Associate), AZ-305 (Azure Solutions Architect Expert), or AZ-400 (DevOps Engineer Expert).
Experience working in Agile/Scrum development environments.

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

Application Review: AI tools may help identify skills and experiences relevant to the role.
Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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