Position Description:

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance

As a Sr. Cloud Ops Engineer, you will create and manage an automated DevOps release management pipeline for an expanding product platform. You will lead the establishment of the right tooling and processes that result in a fully automated release management pipeline. The pipeline will include: the automated build process, environment setups, testing scripts, deployments, and production operational metrics/debugging information.

The ideal candidate is an experienced DevOps professional who enjoys working on building and deployment infrastructure, employs Infrastructure as Code (IaC), has a command of scripting languages, and possesses strong communication and presentation skills. You will have an opportunity to contribute to the advancement of existing systems as well as the ability to contribute to new portfolio offerings all with focus, growth, and adoption of DevOps best practices. This person will work a hybrid schedule with around 1-2 days per week in the office, either in Princeton, NJ or Washington, DC.

Responsibilities:

• Manage all maintenance, update, and deployment schedules, change communication and roll-out success
• Drive operational excellence through better documentation, refined processes, and better measuring of results
• Drive continuous monitoring and alerting around infrastructure, server and application availability & performance
• Manage and improve our DevOps practices to deliver high quality software more quickly using Continuous Integration/Continuous Delivery (CICD) pipelines from code commit to production deployment
• Build and share visible metrics around: hosted health, cost, performance, quality, and uptime
• Liaise with vendors, ITS, Security and Compliance teams to advance product development team’s roadmap
• Design infrastructure that is secure and cost optimized
• Hire, manage and grow our Cloud Operations team consisting of AWS Cloud Engineers, DevOps Engineers, and DB experts

Position Requirements:

Core competencies

• 8+ years’ Cloud Ops experience with 5 years using AWS and related technologies
• Practical experience handling large data volumes using RDS, Snowflake (preferred), RedShift
• Demonstrated experience handling security/compliance standards and handling PII/PHI and has implemented security controls
• Experience with budgeting, cost reporting and forecasting
• Experience working with technology vendors to evaluate Cloud and DevOps tools & services
• Managed/led operations of cloud solutions at scale and used monitoring, logging tools
• Supervised teams including internal and external contractors/offshore developers
• Must be highly collaborative and be able to work in a team environment, with technical and business members

Technical Skills

• Cloud infrastructure: Extensive experience designing, deploying, and managing cloud infrastructures, including compute, storage, networking, and security, with a focus on AWS architecture.
• Infrastructure as code (IaC) tools: Proficient in using infrastructure as code (IaC) tools such as AWS CloudFormation or Terraform to automate AWS infrastructure deployment and management.
• DevOps skills: Experience in DevOps practices and be able to leverage tools like Docker, Kubernetes, or other continuous integration and delivery (CI/CD) tools such as GitHub actions to automate software delivery and deployment.
• Networking concepts: Comprehensive understanding of networking concepts such as AWS Virtual Private Cloud (VPC), Elastic Load Balancing (ELB), and Amazon Route 53, and be able to design and implement networking solutions.
• Data platform experience - ETL/ELT tools such as Alteryx Trifacta and Talend, optimize data processing and storage, design and deploy data architectures for cloud-based data platforms.

Preferred experience:

• Cloud-native services: Proficient in leveraging cloud-native services, such as AWS Lambda, Amazon S3, Amazon RDS, and Amazon SQS, to design and deploy modern cloud architectures.
• Scripting and programming languages: Strong scripting and programming skills in languages such as Python, Java, or PowerShell, and be able to develop and maintain scripts and code to automate cloud operations.
• Monitoring and logging tools: Familiar with AWS monitoring and logging tools such as CloudWatch, AWS X-Ray, and AWS CloudTrail, and be able to use these tools to monitor AWS resources and troubleshoot issues.
• Security best practices: Should be knowledgeable about AWS security principles and be able to implement security controls and best practices to protect AWS resources from cyber threats.
• Containerization: Familiar with containerization technologies such as Docker and Kubernetes and be able to leverage them to design and deploy scalable and resilient cloud architectures in AWS.
• QA testing frameworks in the CI/CD pipeline: Experience including QA testing frameworks such as Selenium or Appium in the CI/CD pipeline, using tools like GitHub Actions, to enable automated testing of cloud-based applications and infrastructure.

This position offers an anticipated annual base salary range of $127,500 - $165,000. This position is eligible for a discretionary bonus based on company and individual performance.

STAFFING AGENCIES AND THIRD-PARTY RECRUITERS: Mathematica is not accepting candidates for this role or any technical role from staffing agencies or third party recruiters. Please do not contact technical or senior staff at Mathematica or share unsolicited resumes. All agency inquiries go through the talent acquisition team and will be routed accordingly.

Although Mathematica does not require vaccination from COVID-19 as a condition of employment, various projects or agencies may require documentation of vaccination (or an approved exception/accommodation).

Available Locations: Washington, DC; Princeton, NJ

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