Element

Data Engineer

• Design, develop, and maintain robust ETL/ELT pipelines to ingest, process, and store structured and unstructured data.
• Build and optimize data models, databases, and data warehouses for analytical and operational use.
• Collaborate with data scientists, analysts, and software engineers to enable data-driven decision-making.
• Implement data quality checks, validation processes, and monitoring for accuracy, consistency, and completeness.
• Work with cloud platforms (AWS, Azure, or GCP) to deploy scalable and secure data solutions.
• Ensure compliance with government security, privacy, and data governance standards (NIST, FedRAMP, HIPAA if applicable).
• Write clean, maintainable, and well-documented code following best practices.
• Participate in Agile/Scrum processes, including sprint planning, backlog refinement, and retrospectives.
• Assist in the evaluation and integration of new data technologies and tools.

SDET

• Designed, developed, and executed automated test plans and procedures across various test levels and environments for quality assurance.
• Analyzed software defects, documented risks, and proposed solutions.
• Collaborated in product requirements and design reviews, giving insights on functional requirements and potential issues.
• Managed, cataloged, and helped determine prioritization of known defects.
• Planned test schedules aligned with product delivery.
• Provided subject matter expertise about existing functionality and how the system operates for requirements confirmation to the Product Owner and Business Analyst.
• Leveraged cloud architecture, infrastructure, and services experience to troubleshoot issues in the CI/CD pipeline and provide scalable and highly available solutions to meet business needs.

Senior Software Development Engineer in Test

Implementation Specialist

• Lead the implementation of FHIR standards, ensuring accuracy and efficient data exchange Ingest healthcare data from source systems into FHIR resources, via ETL processes, checking for data quality and integrity.
• Create and maintain data mapping specifications to transform non-FHIR data formats into FHIR-compliant data.
• Develop scalable API endpoints, scaling FHIR solutionsImplement security measures and access controls to protect sensitive healthcare dataComply with healthcare data privacy regulations, such as HIPAA.
• Record and maintain comprehensive artifacts of FHIR implementations, data transformation processes, and data flows in tools, like confluenceStay informed about evolving FHIR standards.
• Be an active participant in program increment (PI) planning

FHIR Implementation Specialist

Full-stack Engineer

• Design, develop, test, and deploy full-stack web application features using modern frameworks and tools.
• Build and maintain responsive, accessible user interfaces using React, Angular, Vue, or similar front-end technologies.
• Develop server-side logic, RESTful APIs, microservices, and backend components using languages such as Node.js, Python, Java, or C#/.NET.
• Integrate databases and data services using PostgreSQL, MySQL, SQL Server, MongoDB, or other data platforms.
• Implement best practices for code quality, security, performance, and maintainability.
• Participate in Agile/Scrum ceremonies and collaborate closely with UX designers, DevOps engineers, QA analysts, product owners, and other technical team members.
• Troubleshoot and resolve application issues across the full stack.
• Contribute to CI/CD pipeline improvements and cloud-based deployments (AWS, Azure, or GCP).
• Ensure compliance with federal security requirements, development standards, and documentation processes.

Mid-Level Full Stack Developer

Security Engineer

• Lead the design, implementation, and management of enterprise security solutions across networks, applications, and cloud environments.
• Develop, enforce, and maintain security policies, standards, and procedures in alignment with government and industry frameworks (NIST, FedRAMP, CIS, DISA STIGs).
• Conduct risk assessments, vulnerability assessments, penetration testing, and threat modeling to identify security gaps and recommend mitigations.
• Collaborate with DevOps, system engineers, architects, and product teams to integrate security into development, deployment, and operational processes.
• Lead incident response and investigation efforts, including forensic analysis and remediation.
• Mentor and guide junior security engineers, promoting best practices and security awareness across the team.
• Support audit and compliance activities, ensuring all systems meet regulatory and contractual requirements.
• Evaluate, recommend, and deploy security tools and technologies to enhance threat detection, monitoring, and prevention.
• Participate in security architecture reviews and provide guidance on secure system design.

Product Manager

• Serve as the primary liaison between stakeholders, end-users, and the development team.
• Define, prioritize, and maintain the product backlog based on business value, technical feasibility, and strategic goals.
• Translate stakeholder needs into well-defined user stories, acceptance criteria, and functional requirements.
• Collaborate closely with Scrum Masters, developers and QA to ensure clear understanding of requirements and product vision.
• Facilitate Agile ceremonies including sprint planning, backlog grooming, sprint reviews, and retrospectives.
• Track and communicate progress, risks, and issues to stakeholders and leadership.
• Conduct market research, user feedback sessions, and data analysis to inform product decisions.
• Ensure that all product deliverables comply with government regulations, security, and accessibility standards (e.g., NIST, Section 508).
• Support the creation of product roadmaps and release plans aligned with contract objectives.

Product Owner

Site Reliability Engineer

• Design, implement, and maintain automated CI/CD pipelines for application builds, tests, and deployments.
• Integrate security practices into development pipelines (DevSecOps) including vulnerability scanning, secrets management, and policy enforcement.
• Manage cloud infrastructure environments within AWS and automate provisioning using Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, and Ansible.
• Support release planning, versioning, and deployment of software across multiple environments (dev, test, staging, production).
• Collaborate with developers, QA, product owners, and system engineers to ensure smooth and secure software releases.
• Monitor, troubleshoot, and optimize application testing pipelines, deployment processes, and infrastructure performance.
• Ensure compliance with government security standards (NIST, FedRAMP, DISA STIGs) and audit requirements.
• Maintain documentation for release processes, pipeline configurations, and operational procedures.
• Participate in Agile ceremonies including sprint planning, retrospectives, and release readiness reviews.

Release DevSecOps Engineer

• Lead the end-to-end design, development, testing, and deployment of full stack web applications for state-level AI and data systems.
• Work closely with data scientists, AI engineers, and business analysts to integrate AI models into production environments.
• Architect, build, and maintain APIs and microservices to support secure data exchange and model deployment.
• Develop responsive and accessible front-end interfaces using modern frameworks (e.g., React, Angular, or Vue).
• Optimize application performance, scalability, and reliability in compliance with state IT security and accessibility standards.
• Participate in Agile development processes, including sprint planning, code reviews, and DevSecOps practices.
• Collaborate with state IT teams to ensure compliance with data governance, privacy, and interoperability requirements.
• Mentor junior developers and contribute to technical documentation and best practices.I
• Implement accessible, multilingual, and WCAG 2.1 Level AA-compliant user interfaces to ensure inclusive access for diverse user groups across the Commonwealth.
• Develop and maintain metadata-driven components that enhance FAIR data practices—enabling datasets and AI models to be Findable, Accessible, Interoperable, and Reusable across systems.
• Build and maintain sandbox and staging environments supporting iterative testing, accessibility validation, and phased rollout of new features prior to production deployment.
• Embed secure coding standards and Zero Trust principles into every layer of application development, ensuring compliance with NIST SP 800-53, StateRAMP, and applicable state cybersecurity policies.
• Integrate synthetic data workflows and privacy-preserving methods to enable safe AI testing and model validation without exposing sensitive information.
• Contribute to performance and compliance dashboards that track defect resolution rate, accessibility compliance, and user adoption metrics across releases.
• Collaborate with governance, data, and security leads to ensure every deployment aligns with AI ethics, transparency, and state governance frameworks.

Senior Full Stack Developer

• Develop and maintain front-end and back-end components of web-based applications using modern frameworks and languages (e.g., React, Node.js, Python, TypeScript).
• Collaborate with data engineers and AI specialists to integrate APIs, data pipelines, and machine learning models into web applications.
• Participate in code reviews, testing, and CI/CD pipeline automation to ensure code quality and reliability.
• Assist in developing secure, accessible, and scalable solutions that meet state and federal compliance standards.
• Contribute to technical documentation, sprint planning, and Agile ceremonies.
• Troubleshoot, debug, and optimize application performance in coordination with DevOps and QA teams.
• Stay up to date with emerging tools, frameworks, and AI technologies relevant to public-sector innovation.
• Assist in building and testing user interfaces that comply with WCAG 2.1 Level AA and Section 508 accessibility standards, ensuring inclusive and equitable user experiences.
• Support development and deployment of multilingual and metadata-driven components that enhance the Findability, Accessibility, Interoperability, and Reusability (FAIR) of state data and AI assets.
• Participate in sandbox testing and phased rollout activities to validate new features, accessibility compliance, and security performance before production deployment.
• Contribute to secure coding practices, privacy protection, and Zero Trust implementation under the guidance of senior engineers.
• Collaborate with cross-functional teams to ensure data exchange and model integrations meet ethical AI and transparency requirements.
• Help monitor system performance and maintain compliance documentation, including audit logs and release notes for governance review.

Junior Full Stack Developer

Scrum Master

• Facilitate Agile ceremonies (Daily Standups, Sprint Planning, Reviews, Retrospectives) across multiple teams delivering AI, machine learning, or data-focused solutions.
• Partner with, analyst, and Technical Leads to refine product backlogs and prioritize deliverables aligned with agency goals.
• Coach and mentor teams and stakeholders in Agile principles, frameworks (Scrum, Kanban, SAFe), and best practices.
• Remove impediments, manage risks, and promote continuous improvement across teams and stakeholders.
• Collaborate with the program director and technical teams to ensure compliance with project governance and reporting standards.
• Track key Agile metrics (velocity, burndown, team capacity) and communicate progress to program leadership.
• Foster a culture of transparency, accountability, and data-driven decision-making.
• Support organizational change management and Agile maturity initiatives tied to AI adoption.
• Facilitate sprint planning and delivery cycles that incorporate governance checkpoints, security validation, and accessibility reviews (WCAG 2.1, Section 508) before production release.
• Coordinate cross-functional sprint teams to integrate FAIR-compliant data practices, ensuring transparency and traceability of datasets across development iterations.
• Manage Agile delivery within sandbox and phased rollout environments, ensuring that testing, training, and adoption milestones align with MassTech’s oversight and approval process.
• Track delivery metrics tied to program performance (e.g., sprint velocity, % acceptance test coverage, % FAIR validation success) and provide data-driven dashboards to program leadership.
• Collaborate with governance and security leads to ensure sprint outcomes align with Zero Trust, AI fairness, and ethical AI principles embedded in project objectives.
• Support multilingual content readiness and documentation workflows to promote accessibility and inclusivity across user communities and stakeholder groups.

Senior Scrum Master

Risk

• Develop and maintain the program governance framework (including committees, decision-rights, escalation processes, roles & responsibilities) for the AI contract.
• Work with senior leadership (company and state agency) to define governance structure, charter, terms of reference, performance oversight, compliance obligations, audit readiness, and stakeholder escalation mechanisms.
• Define, implement and monitor policy, procedure, and control environment around:Contract management and compliance (deliverables, SLAs, milestones, reporting).
• Data governance, AI ethics, algorithmic accountability, transparency, and fairness.
• Risk management (identification, assessment, mitigation, reporting).
• Document management, change control, decision-logs, audit trails.
• Vendor/subcontractor governance, teaming partner oversight and sub-contract compliance.
• Lead the preparation of governance artifacts: dashboards, risk/issue registers, escalation logs, governance meeting minutes, status reports, management briefings.
• Serve as the prime interface for governance‐related inquiries from the state customer, internal audit, external oversight bodies, and internal executive sponsors.
• Provide expert guidance and training to program teams, subcontractors and partners on governance best practices, ethical AI considerations, compliance obligations, contract requirements, and governance tools.
• Conduct periodic assurance reviews / audits to validate that program activities align with governance frameworks, internal policies, contract terms, state/federal regulations, and ethical/AI governance principles. Report findings, drive corrective actions.
• Establish and maintain stakeholder communication channels (state agency leadership; program leadership; contractor leadership; legal/compliance functions; subcontractors) to ensure governance transparency, escalation of issues, and alignment of governance objectives.
• Collaborate with legal, compliance, technology leads, data scientists and program management to ensure governance is embedded in AI project lifecycle: design, development, testing, deployment, and monitoring.
• Oversee data governance alignment with FAIR principles (Findable, Accessible, Interoperable, Reusable) to ensure datasets are trusted, transparent, and reusable across state and federal systems.
• Define governance checkpoints across the phased rollout, ensuring all sandbox environments, access workflows, and AI validation activities are compliant before production release.
• Establish accessibility and inclusivity requirements in governance documentation and workflows to ensure compliance with WCAG 2.1 Level AA and multilingual accessibility standards.
• Implement Zero Trust–aligned governance practices, ensuring continuous verification, role-based access control (RBAC), and least-privilege principles across all data tiers.
• Develop governance metrics (e.g., % compliance with FAIR metadata standards, % trained data stewards, audit closure rate) and ensure they are reported transparently to MassTech leadership and oversight committees.
• Coordinate with the Security Architect and Program Director to ensure all data-sharing, ethical AI, and privacy policies remain aligned with Massachusetts data-protection laws and StateRAMP/NIST controls.
• Stay abreast of relevant regulatory, legislative and standards developments in AI, data privacy, state procurement and contract governance, and ensure program readiness and compliance.
• Provide leadership, coaching and mentoring to governance, risk & compliance staff (if applicable) and help build the governance capability within the program.

Senior Governance Lead

Solutions Engineer

• Lead the end-to-end architecture of AI, analytics, and automation solutions supporting state government missions.
• Define technical roadmaps and solution blueprints for AI/ML platforms, natural language processing (NLP), predictive analytics, and generative AI capabilities.
• Ensure architecture aligns with state IT enterprise frameworks, security policies, and data governance requirements.
• Partner with the program director, technical teams, stakeholders to translate business goals into scalable, implementable technical designs.
• Present solution architectures, proof-of-concept results, and technical documentation to non-technical audiences and oversight committees.
• Provide hands-on guidance to data scientists, developers, and system engineers during system design and deployment.
• Evaluate and recommend AI tools, platforms, and frameworks (e.g., Azure AI, AWS SageMaker, Google Vertex AI, OpenAI, Databricks, Snowflake).
• Define integration strategies for AI solutions within legacy systems and statewide data ecosystems.
• Design solutions compliant with state and federal data privacy standards (HIPAA, CJIS, GDPR, etc.).
• Architect FAIR-compliant (Findable, Accessible, Interoperable, Reusable) data frameworks ensuring metadata consistency and interoperability across CKAN, Dataverse, and other state systems.
• Integrate synthetic-data generation pipelines and AI fairness frameworks (AIF360, Fairlearn) to support privacy-preserving innovation and bias mitigation.
• Apply Zero Trust security principles and role-based access controls (RBAC) throughout the architecture to protect controlled and restricted datasets.
• Embed accessibility and inclusivity requirements (WCAG 2.1 Level AA and multilingual readiness) into user-facing and developer interfaces.
• Lead architecture validation in sandbox environments, ensuring each phase of deployment meets MassTech’s governance checkpoints and audit requirements.
• Deliver metrics-driven outcomes (e.g., ≥99.9 % uptime target, ≥95 % security control coverage, 100 % metadata validation compliance) to demonstrate platform performance and accountability.
• Ensure adherence to AI governance and ethical AI practices, including transparency, fairness, and explainability.
• Lead architecture reviews, milestone presentations, and risk assessments throughout project lifecycles.

Senior Solutions Architect

Backend Engineer

• Be on a team supporting a contract endeavor to modernize enterprise systems’ access, reducing manual effort, improving data accuracy, and enhancing transparency for stakeholders.
• Utilizing cutting-edge NLP and LLM techniques.
• Stay up to date with technology and customer experience best practices, to include artificial intelligence (AI), chatbots, and customer feedback tools.
• Write effective, scalable code.
• Work extremely closely with human centered design experts to implement solutions that are intuitive, responsive, and personalized to each customer’s needs.
• Develop back-end components to improve responsiveness and overall performance.
• Investigate and debug test failures throughout, updating tests or reporting bugs as necessary and provide test coverage analysis based on automation results.
• Collaborate with various departments such as customer support, marketing, and product development to identify and address customer pain points, optimize customer journeys, and create a seamless experience across all touch points.

Backend Software Engineer

• Contribute to the continuous penetration testing programme for Element and Matrix.org infrastructure.
• Own vulnerability management: triage, prioritisation, and remediation guidance.
• Embed security into CI/CD and infrastructure-as-code workflows.
• Partner with engineering teams to raise security awareness and embed best practices.
• Conduct security research to identify novel vulnerabilities in infrastructure and code.
• Triage external vulnerability reports and coordinate responses/advisories.
• Deliver customer-facing security features (e.g. SBOMs, advisories).
• Review and support secure development in Python, Rust, TypeScript and Go.
• Support Compliance by implementing and evidencing security controls.
• Contribute to protocol analysis and development with Matrix.org Foundation staff.