eSimplicity

Scrum Master

• 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.

Agile Project Manager

Business Analyst

• 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.

Senior Business Analyst

Content Writer

• If you are looking for an opportunity to make an impact in your everyday work and help the government find solutions to their biggest problems, eSimplicity has an opening for an experienced Senior Proposal Writer/Editor to join our Proposal Operations team.
• Our Senior Proposal Writer/Editor will not only plan, write, edit, and deliver winning proposal content in response to Federal solicitations to set our company apart from the pack in our proposal response and presentation, but you will also be directly involved in business development, Pre-RFP related activities (RFIs), and special projects (writing guides, marketing case studies), and rewarded for your part in helping our company grow.
• Interview and work with technical subject matter experts (SMEs) to gather, write, and translate technical information into clear, concise, and compelling proposal content for modern, agile, cloud-based systems.
• Review, revise, and coordinate technical proposal content from internal and partner SMEs for accuracy, messaging, themes, and consistency.
• Coach authors (SMEs) and provide iterative guidance to individual SMEs with writing assignments to make sections more compelling and easier to evaluate.
• Provide orientation and training for new proposal team members on proposal writing and processes.
• Collaborate with Proposal Managers on kickoff material to guide SMEs tasked with writing proposal sections.
• Participate in technical solution sessions to understand the proposed solutions and lead or support technical content development (depending on opportunity).
• Leverage technical writing best practices to help write and craft technical sections.
• Perform complete reviews of proposal content and graphics to ensure sections comply with Government requirements, contain win themes and strategy, and adhere to eSimplicity format and style criteria.
• Continuous improvement activities are recommended to refine writing processes and techniques as appropriate.
• Collaborate with Graphic Designers to develop graphics, including anchor graphics, diagrams, processes, etc.
• Adhere to corporate proposal-writing standards, style guides, and processes, and update as needed.
• Edit proposals to ensure a compliant and compelling final product for submission.
• Proofread content, grammar, style, and format per instructions.
• Edit all technical content for accuracy, messaging, themes, and consistency.
• Edit proposals following eSimplicity’s established styles in our Style Guide.
• Update proofreading checklist.
• Edit for “one-voice” to include readability, clarity, and responsiveness to requirements.
• Edit to help meet page count requirements.
• Apply eSimplicity’s brand messaging to all responses, including tone, style, and theme.
• Identify content for reuse in the proposal content repository.

Senior Proposal Writer

Proposal Manager

• Work closely with Capture Managers to support pre-RFP planning including tracking milestones, creating templates, and scheduling strategy and solutioning sessions.
• Monitor targeted solicitations on SAM.gov, GovWin, GSA MAS, IDIQs, BPAs, etc.
• Support White Paper development for customer engagement.
• Assist with logistics and slide-deck development and preparation for customer meetings.
• Support RFI and Sources Sought responses to agencies/opportunities of interest.
• Lead the full proposal lifecycle for active RFPs/RFQs, ensuring timely execution of action items and achievement of all milestones.
• Track amendments and update proposal materials accordingly.
• Review and interpret solicitation requirements, instructions, and evaluation criteria.
• Create and distribute proposal management artifacts (schedules, outlines, compliance matrices, kick-off slide decks, storyboards).
• Keep teams focused on producing compliant, compelling, competitive, and winning proposals.
• Communicate updates, activities, expectations, and timelines with internal leaders, proposal contributors, and external partners.
• Manage proposal activities and team responsibilities through daily stand-ups and regular meetings, adhering to schedules and deadlines.
• Plan, communicate, check progress, and take corrective action or escalate for all proposal volumes and artifacts to ensure all proposal development contributors including capture managers, solution architects, proposal writers, and program managers clearly understand and exceed expectation for their roles on the proposal.
• Use approved Artificial Intelligence (AI) tools and processes (e.g., develop content, run compliance checks, etc.).
• Author non-technical sections (e.g., cover letters, past performance, resumes, etc.); proofread and draft content for clarity, consistency, and persuasiveness.
• Ensure templates and responses are compliant, compelling, accurate, and aligned with requirements.
• Lead Pink, Red, and Gold Team reviews by conducting In-Briefs with clear expectations and guiding reviewers to provide high impact, actionable feedback that ensures each draft becomes progressively more mature at every color cycle.
• Lead debriefs/retrospectives to capture lessons learned, drive continuous improvement, and integrate enhancements into current proposal processes.
• Ensure technical solution, win themes, discriminators, compliance, and clear understanding of the requirements are clearly reflected across all volumes.
• Support proposal orals teams by coordinating logistics, scheduling and attending sessions, and providing feedback to prepare participants.

Senior Proposal Manager

Data Engineer

• Responsible for developing, expanding, and optimizing our data and data pipeline architecture
• Support software developers, database architects, data analysts, and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects
• Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process
• Implements large dataset engineering: data augmentation, data quality analysis, data analytics, data profiling, and develop data strategy recommendations
• Operate large-scale data processing pipelines and resolve business and technical issues pertaining to processing and data quality
• Assemble large, complex sets of data that meet non-functional and functional business requirements
• Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
• Work with stakeholders including data, design, product, and government stakeholders and assist them with data-related technical issues
• Write unit and integration tests for all data processing code
• Work with DevOps engineers on CI, CD, and IaC
• Read specs and translate them into code and design documents
• Perform code reviews and develop processes for improving code quality.

Data Engineer III

SDET

• 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.

Test Automation Engineer

Backend Engineer

• 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.

Java Developer

Salesforce Developer

• Participating in the full application life cycle: architecture, design, development, testing and deployment
• Writing, testing, and deploying high-performance, reusable, and reliable Apex code
• Creating and customizing Lightning Components to enhance the user interface
• Designing data models and implementing Salesforce objects, including custom objects, fields, and relationships
• Performance engineering Salesforce applications using code optimization techniques, modular development practices, lazy loading, query analysis and optimization, caching solutions, and asynchronous workflows
• Contributing to options analyses, proof-of-concept implementations, and validations for proposed solutions
• Identifying risks, managing change, and designing cloud solutions that are efficient and scalable
• Gathering technical requirements and understanding user stories to translate dependencies to the technical delivery team
• Working closely with designers and engineers to gather and implement product, front-end, and back-end requirements
• Assist users with troubleshooting and resolving problems of the platform
• Participating in Agile processes, including daily standups, demos, retrospectives, and sprint planning
• Documenting development processes, technical designs, and other relevant information to ensure team coverage and code maintainability
• Implementing mature unit and integration testing to ensure systems work as intended
• Promoting cross-team collaborations and disseminating information through knowledge-sharing sessions, communities of practice, etc.
• Implementing an automation-first approach to reduce manual configurations within the Salesforce platform using custom Apex scripts, Robotic Process Automation, etc.

Machine Learning Engineer

• 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.

Senior AI/ML Engineer

Full-stack Engineer

• 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.

Senior Full-Stack Developer

• 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

• 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.

Data Engineer I

• Implement and productionize ML solutions (supervised/unsupervised, NLP, deep learning) with robust data preprocessing, feature engineering, and evaluation pipelines
• Support 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
• 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
• Engage closely with project managers, technical leads, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with technical goals
• Translate technical specifications into code and design documents

Associate AI/ML Engineer

• 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.