Jobs at PingWind

Designs and maintains secure CI/CD pipelines, integrates automated security controls and testing, supports containerized and cloud-native environments, and performs vulnerability management, remediation, security assessments, and incident response. Collaborates with development, security, architecture, and operations teams to resolve risks and documents DevSecOps processes and integrations for a federal government client.

Manage configuration and change management activities for a federal IT project. Maintain hardware, software, system, documentation, and deliverable records; support CMDB and ITSM practices; develop configuration standards and procedures; coordinate activities across technical and project teams; and perform documentation reviews, audits, quality control, and traceability management.

Leads a complex federal cybersecurity and enterprise security engineering program, overseeing personnel, schedules, resources, deliverables, risks, technical execution, and stakeholder coordination. The role manages cloud and IT security architecture, engineering, development, implementation, contract compliance, performance reporting, and multidisciplinary technical teams while serving as the primary interface with government stakeholders and subcontractors.

Designs, develops, trains, tests, and deploys secure AI and machine learning solutions for enterprise and government environments. Responsibilities include preparing datasets, identifying automation opportunities, evaluating model performance and security, documenting risks and controls, and collaborating with data scientists, software developers, cybersecurity engineers, architects, and domain experts. The role applies AI and ML to enterprise security engineering, testing, and mission workflows.

Develops quantum-resistant cryptography and post-quantum cryptography strategies for federal cybersecurity modernization. Evaluates quantum technologies, cryptographic protocols, algorithms, standards, PKI, and inventories; creates migration and remediation plans; implements and tests cryptographic solutions; applies NIST PQC standards; and communicates risks and recommendations to technical and nontechnical stakeholders.

Conducts cybersecurity risk assessments, compliance reviews, audits, continuous monitoring, and remediation tracking for a federal government client. Develops security policies and compliance documentation, supports VA audit activities, coordinates corrective actions, analyzes findings, and provides prioritized risk mitigation recommendations. Collaborates with technical teams, program leaders, government stakeholders, and auditors to strengthen cybersecurity compliance and support risk-based decisions.

Administer and sustain SharePoint Online environments, including site collections, permissions, libraries, hub sites, governance, and storage. Develop and support Power Apps, Power Automate workflows, and Power BI integrations. Troubleshoot access, synchronization, workflow, storage, and integration issues; collaborate with stakeholders, provide training and support, and maintain technical documentation and compliance.

Administer, develop, and sustain Hyland OnBase environments across classified and unclassified networks. Configure document types, keywords, disk groups, Unity Forms, workflows, timers, rules, notifications, and Document Import Processors. Troubleshoot application, client, workflow, and form issues; manage deployments, patching, data stores, and record integrity. Translate mission requirements into scalable content-management solutions and support stakeholders as the primary technical interface.

Support the IT team by administering Microsoft security and management tools, including Intune, Entra, Azure, and the Microsoft Security Suite. Help strengthen the organization’s security posture, respond to active threats, and triage outstanding IT issues while supporting other Microsoft products.

Develop and support AI/ML applications and infrastructure for a federal healthcare agency. Build CI pipelines, automate deployment and infrastructure processes, manage cloud and server environments, troubleshoot applications and networks, monitor performance, and implement security and data protection. Collaborate with architects, developers, DBAs, stakeholders, and Agile teams while conducting code reviews, documenting solutions, mentoring colleagues, and supporting AI/ML prototyping, evaluation, integration, and production deployment.

Develop and maintain databases, SQL code, stored procedures, ETL processes, and database integrations. Optimize performance, security, data integrity, backup, recovery, and monitoring. Support AHRQ’s AI/ML strategy by prototyping, evaluating, deploying, and monitoring AI capabilities, including generative AI and large language models. Collaborate with developers, analysts, and cross-functional teams to troubleshoot issues and deliver reliable software.

Leads AI/ML architecture and enterprise application development for AHRQ. Establishes implementation standards, designs interfaces, reviews solutions, coordinates developers and DBAs, and supports Agile delivery. Develops scalable reusable code, CI/CD pipelines, security and data protection measures, and performance optimization. Guides AI/ML prototyping, evaluation, deployment, monitoring, and responsible AI practices. Mentors developers, collaborates with stakeholders, documents technical processes, and supports cloud-native systems and product roadmaps.

Leads AI/ML-focused DevOps, application development, and infrastructure initiatives. Builds CI pipelines, automates deployment and operational processes, manages cloud and server environments, troubleshoots systems, monitors performance, and implements security measures. Collaborates with architects, developers, DBAs, stakeholders, and users to deliver reliable applications and AI/ML capabilities. Participates in Agile ceremonies, code reviews, documentation, incident management, mentoring, and technical planning.

Leads AI and software application development for AHRQ, coordinating developers and DBAs, implementing AI strategy, and supporting Agile delivery. Designs reusable, scalable code; integrates and deploys AI/ML capabilities; develops and evaluates generative AI and LLM solutions; maintains CI pipelines; optimizes performance; implements security and data protections; conducts code reviews; documents technical processes; and mentors development staff.

Supports project execution by developing and maintaining master schedules, balancing team workloads, updating plans, tracking dependencies, documenting changes, identifying delays, and coordinating communications with stakeholders. Uses ERP and scheduling tools such as SAP, Oracle, Microsoft Project, or Primavera. Applies supply chain, production planning, data analysis, and process improvement methods to forecast scheduling needs, optimize resources, and keep projects aligned with deadlines and organizational goals.

Develop and support secure, scalable full-stack web and cloud applications using Java, Spring Boot, Angular, Node.js, and AWS. Responsibilities include UI development, REST API design, legacy modernization, SQL development, testing, debugging, vulnerability remediation, documentation, and Agile collaboration. The role requires active Secret clearance, Security+ certification, and participation across the software development lifecycle.

Leads full-stack development of scalable enterprise web applications using Java, Spring Boot, Node.js, Angular, and AWS. Designs microservices, REST APIs, cloud architectures, database integrations, and CI/CD pipelines. Provides technical leadership through mentoring, code reviews, development standards, and Agile collaboration with stakeholders and product teams. Requires active Secret clearance, Security+ or IAT Level II certification, a related bachelor’s degree, and 8–10 years of experience.

Design, develop, maintain, and optimize enterprise ETL pipelines supporting Army Human Resources Command data. Build data mappings and transformation logic, ensure data quality and security compliance, maintain database systems, manage scheduling and monitoring for reliable pipelines, provide lifecycle technical solutions, and create architecture and data-flow documentation using DataStage and SQL databases.

Leads software quality assurance efforts by creating and executing functional, performance, regression, and security test plans; developing Cypress automation suites; testing AWS-hosted applications and microservices; integrating tests into Azure DevOps CI/CD pipelines; managing defects; and mentoring QA team members.

Oversee complex projects from initiation through implementation, serving as the primary client contact. Define scope, objectives, schedules, budgets, resource plans, and status reports; coordinate stakeholders, vendors, and project teams; manage risks, quality assurance, deliverables, financial resources, and resource allocation.