In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.
Work you’ll do
As a Technical Lead for a Data Science Application, you will be the technical leader responsible for designing, developing, and deploying secure, maintainable, and productionizable capabilities in the form of executable functions (e.g., Lambdas, Step Functions, S3, AWS OpenSearch, etc.) across AWS cloud infrastructure that houses sensitive data and models that support mission critical operations. You will lead a development team of 5-8 in their day-to-day technical assignments and lead the technical product vision. To that end, you will work with cross-functional teams to identify relevant and permissible data sources, access available infrastructure, and to develop analytic products tailored to mission user requirements. Strong communication and interpersonal skills are critical in your ability to collaborate with your technical colleagues and building rapport with the customer.
Responsibilities:
- Develop technical architecture that support development approach
- Forecast and outline technical tasks that guide weekly development in support of technical projects.
- Partner with a government product owner and collaborate with a Data Science Team of 5-8 FTEs.
- Work with Product Manager and product teams, solution architects, and DevSecOps engineers to strategize system design and system implementation for high availability, performance, and resiliency.
- Works with development team to implement, tune, and troubleshoot infrastructure components of the applications (e.g., AWS services, network, OS, PKI).
- Designs and implements containerization resources using IaC (e.g., Terraform).
- Designs and implements common services and configurations (e.g., logging, SSO, VM Images) using IaC (e.g., Terraform).
- Designs and implements automated system management and monitoring capabilities that support resiliency and self-healing.
The Team
Deloitte’s Government and Public Services (GPS) practice – our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
The GPS AI & Data Operations offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.
Required Qualifications:
- Active Top Secret security clearance required. (or Active TS w/SCI Eligibility).
- Ability and willingness to work on-site in Washington, DC 3 days a week
- Bachelor’s degree + 4 years’ practical experience OR Associates degree + 6 years’ practical experience OR Master’s degree + 2 years’ practical experience OR 8 years’ practical experience. Significant experience leading a team to develop an application on AWS platforms, from MVP to production deployment.
- 4 years of experience leading the use of Infrastructure-as-Code tools (e.g., Ansible, Terraform, AWS CloudFormation, Azure ARM Templates).
- 4 years of experience working in Government-owned secure networks (e.g., NIPR, SIPR, A-LAN, C-LAN)
- 4 years hands-on experience developing software in Python (or similar)
- Significant experience conducting regular code, configuration, and architecture reviews to ensure technical quality and adherence to best practices.
- Experience developing, training, and evaluating AI/ML models
- Some experience implementing and/or operating application containerization.
- Some experience with centralized log configuration and monitoring tools.
- Some experience configuring Role-Based Access Control (RBAC)
- Understanding of PKI and certificate management.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred Qualifications:
- 2 years’ experience building and maintaining systems within AWS.
- Experience incorporating AI / ML models and analytics into cloud products.
- Experience shepherding prototypes from POC to production
- 2 years’ experience maintaining systems through automated means (e.g., IaC, scripting).
- 1 years’ experience with Infrastructure-as-Code tools (e.g., Ansible, Terraform, AWS CloudFormation, Azure ARM Templates).
- 1 year leading a team of developers to develop MVPs and POCs.
- Experience working with AWS Top-Secret Cloud (i.e., C2S/C2E).
- Experience with event-based systems and/or asynchronous message queue infrastructure.
- Experience with multiple data solutions (e.g., AWS OpenSearch, NoSQL/Document, Indexed Search)
- Experience working in a Scrum based task / team structure (i.e. SAFe Agile 6.0)
- Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
- Familiarity and experience with the Department of Homeland Security (DHS).
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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