eSimplicity

• Maintain test environments and test data • Help identify, document, and track application defects • Leverage and maintain automated testing frameworks to analyze test results and debug failures • Create and execute automated and manual test cases to ensure the on-time, high-quality delivery of the product in accordance with the project schedule • Create and maintain Unit Tests and Regression Tests • Provide recommendations to improve automated testing frameworks and testing processes for the team • Conduct 508 testing to ensure compliance with accessibility requirements • Attend requirements gathering meetings to better understand business needs, functional and system requirements • Construct testing documents, including a testing plan, test cases, test data, and test scripts to ensure compliance with business requirements • Collaborate with the development team to ensure successful implementation of the needed business, functional and system requirements • Provide regular and open communication across the program and stakeholders for transparency and awareness of progress and impediments • Understand, visualize and manage upstream/downstream dependencies • Drive delivery and continuous improvement by utilizing feedback and metrics (quality, delivery rate, etc.) to identify areas of opportunity • Work across stakeholders and teams to continuously improve.

• Design, develop, test, and maintain Java-based applications and services. • Write clean, efficient, and well-documented code following industry best practices. • Participate in requirements analysis and technical design discussions. • Develop RESTful APIs and backend services. • Integrate applications with databases, third-party systems, and cloud services. • Support application deployment, configuration, and troubleshooting. • Participate in code reviews and ensure adherence to coding standards. • Collaborate with cross-functional teams in Agile or Scrum environments. • Create and maintain technical documentation. • Troubleshoot and resolve defects and performance issues. • Ensure compliance with security, data protection, and coding standards.

• Migrate Atlassian tools to Salesforce to meet organizational requirements. • Keep Salesforce environment updated with the latest features and plugins. • Create and manage user accounts, groups, and permissions, ensuring proper access control and security compliance. • Design, develop, document, and maintain workflows, templates, custom fields, screens, and other configurations within Salesforce tools • Collaborate with stakeholders and cross-functional teams including IT, finance, operations, and senior management to align business needs with technology solutions. • Monitor system performance, troubleshoot issues, and optimize Atlassian applications for reliability and efficiency. • Identify operational, financial, and technological risks and opportunities for improvement. • Provide end-user support and training, including creating documentation and conducting training sessions. • Integrate Atlassian tools with other systems. • Stay current with Atlassian product updates, features, and best practices, recommending improvements and upgrades. • Work with vendors and support teams to resolve technical issues and manage system upgrades and migrations. • Collaborate with teams to identify and understand their needs and translate them into Salesforce workflows. • Develop and present reports, dashboards, and insights to stakeholders and senior leadership. • Analyze and document business processes end-to-end to identify risks and opportunities for efficiency improvements. • Build a trusting, open, and communicative relationship with clients and stakeholders.

• Collaborate with mission stakeholders to identify operational challenges and opportunities for AI/ML integration. • Document functional and non-functional requirements for AI/ML solutions, ensuring clarity and alignment with agency objectives. • Conduct gap analysis to determine where automation and predictive analytics can enhance mission workflows. • Work closely with data scientists and architects to translate business requirements into AI/ML models and workflows. • Validate proposed solutions against business objectives and compliance standards. • Assist in defining success metrics and performance indicators for AI/ML initiatives. • Analyze existing mission processes and recommend AI-driven optimizations, such as predictive risk assessments or automated incident classification. • Support change management efforts to ensure smooth adoption of AI/ML tools across operational teams. • Support user acceptance testing (UAT) for AI/ML solutions to confirm functionality and usability. • Document findings and coordinate with technical teams for refinement.

• Facilitate Scrum ceremonies (daily stand-ups, sprint planning, reviews, retrospectives) and ensure adherence to Agile principles. • Manage Kanban workflows and optimize throughput for teams operating in continuous delivery environments. • Coordinate across multiple teams in SAFe or scaled Agile frameworks, ensuring synchronization and dependency management. • Develop and maintain project roadmaps, release plans, and risk registers aligned to business priorities and delivery milestones. • Track progress against key performance indicators (KPIs) and communicate status updates to stakeholders with clarity and transparency. • Anticipate risks and implement mitigation strategies to maintain delivery predictability. • Utilize MS Planner or equivalent tools for backlog management, sprint tracking, and reporting. • Create dashboards and visual reports to provide real-time visibility into team performance, velocity, and burn-down metrics. • Ensure accurate and timely updates to project artifacts for auditability and compliance. • Serve as the primary liaison between business owners, technical teams, and leadership, ensuring alignment on goals and priorities. • Facilitate collaborative decision-making and resolve conflicts to maintain team focus and morale. • Deliver executive-ready presentations summarizing progress, risks, and recommendations. • Promote a culture of learning and adaptability, encouraging teams to experiment and adopt best practices. • Coach team members and stakeholders on Agile principles, roles, and responsibilities to strengthen organizational agility. • Identify and implement process improvements to enhance delivery efficiency and team satisfaction.

• Maintain test environments and test data • Help identify, document, and track application defects • Leverage and maintain automated testing frameworks to analyze test results and debug failures • Create and execute automated and manual test cases to ensure the on-time, high-quality delivery of the product in accordance with the project schedule • Create and maintain Unit Tests and Regression Tests • Provide recommendations to improve automated testing frameworks and testing processes for the team • Conduct 508 testing to ensure compliance with accessibility requirements • Attend requirements gathering meetings to better understand business needs, functional and system requirements • Construct testing documents, including a testing plan, test cases, test data, and test scripts to ensure compliance with business requirements • Collaborate with the development team to ensure successful implementation of the needed business, functional and system requirements • Provide regular and open communication across the program and stakeholders for transparency and awareness of progress and impediments • Understand, visualize and manage upstream/downstream dependencies • Drive delivery and continuous improvement by utilizing feedback and metrics (quality, delivery rate, etc.) to identify areas of opportunity • Work across stakeholders and teams to continuously improve • Participated with management and cross-functional teams as subject matter experts to develop and improve operating policies and procedures related to user workflows and be an advocate for user community. • Work with stakeholders and development team to provide production support and on-call support as needed.

• Develop production-grade ETL workflows using Python and Microsoft-based frameworks to ingest, transform, and validate large-scale structured and unstructured data. • Implement schema enforcement, data validation, and quality checks to maintain integrity across diverse sources. • Optimize pipelines for performance, scalability, and fault tolerance using open-source and cloud-native patterns. • Manage Azure-based data solutions, including Data Lake Storage, Azure SQL, and cloud storage access from Python services. • Deploy workflow orchestration using Azure Data Factory or Foundry for scheduling, monitoring, and automation. • Ensure secure integration of APIs and services within the Microsoft ecosystem for seamless data exchange. • Build Python-based data services leveraging libraries such as Pandas, Pytorch, and other open-source frameworks for high-performance processing. • Implement logging, monitoring, and performance tuning for robust operational reliability. • Develop API endpoints and microservices to enable interoperability with analytics and ML platforms. • Work closely with data scientists, analysts, and cloud architects to deliver clean, reliable data for predictive modeling and real-time dashboards. • Apply data governance best practices, ensuring compliance, reproducibility, and auditability across workflows. • Contribute to Agile team processes, driving iterative improvements and shared problem-solving. • Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement. • Engage closely with project managers, technical leads, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with business goals. • Translate technical specifications into code and design documents.

• Architect, implement, and productionize ML solutions (supervised/unsupervised, NLP, deep learning) with robust data preprocessing, feature engineering, and evaluation pipelines. • Lead model selection, training, validation, optimization, and calibration, ensuring reliability, fairness, and performance at scale. • Establish MLOps workflows (CI/CD for ML, experiment tracking, model registry, reproducible builds and deployments). • Implement model monitoring (drift, data/feature quality, bias, and business KPIs), alerting, and automated rollback to keep systems safe and responsive. • Design high-quality data pipelines (ingest, transform, validate) across structured and unstructured sources; enforce data contracts and lineage. • Partner with analytics teams to make datasets discoverable, documented, and performant for iterative model development. • Build AI agents that operationalize safety analytics (Copilot Studio, Python agents, retrieval pipelines) to accelerate triage and decision flow. • Integrate agents with APIs, event streams, dashboards, and case management systems to reduce cycle time from signal to action. • Champion secure-by-design practices, reproducibility, and auditability (model cards, data sheets, deployment records). • Contribute to coding standards, code reviews, and knowledge sharing; mentor engineers and data scientists. • Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement. • Translate mission goals into technical roadmaps and measurable outcomes tied to Sentinel time-to-intervention targets. • Provide technical vision and direction to complex model-related initiatives. • Offer guidance and oversight to junior personnel and contribute as a hands-on expert in the field. • Engage closely with project managers, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with business goals. • Translate technical specifications into code and design documents.

• Design and implement enterprise-level backend and frontend solutions within a modernized Azure-based data ecosystem. • Develop scalable and secure analytics and data-sharing tools. • Integrate analytical and AI solutions within existing system architectures and workflows.

• Facilitate Scrum ceremonies (daily stand-ups, sprint planning, reviews, retrospectives) and ensure adherence to Agile principles. • Manage Kanban workflows and optimize throughput for teams operating in continuous delivery environments. • Coordinate across multiple teams in SAFe or scaled Agile frameworks, ensuring synchronization and dependency management. • Develop and maintain project roadmaps, release plans, and risk registers aligned to business priorities and delivery milestones. • Track progress against key performance indicators (KPIs) and communicate status updates to stakeholders with clarity and transparency. • Anticipate risks and implement mitigation strategies to maintain delivery predictability. • Utilize MS Planner or equivalent tools for backlog management, sprint tracking, and reporting. • Create dashboards and visual reports to provide real-time visibility into team performance, velocity, and burn-down metrics. • Ensure accurate and timely updates to project artifacts for auditability and compliance. • Serve as the primary liaison between business owners, technical teams, and leadership, ensuring alignment on goals and priorities. • Facilitate collaborative decision-making and resolve conflicts to maintain team focus and morale. • Deliver executive-ready presentations summarizing progress, risks, and recommendations. • Promote a culture of learning and adaptability, encouraging teams to experiment and adopt best practices. • Coach team members and stakeholders on Agile principles, roles, and responsibilities to strengthen organizational agility. • Identify and implement process improvements to enhance delivery efficiency and team satisfaction.