Jobs at Red Arch Solutions

Improves and aligns enterprise processes using process improvement and engineering methodologies. Facilitates project teams, coordinates process and practice transfers through training and knowledge sharing, and integrates engineering efforts across multiple teams. Responsibilities include change management, methodology development, acquisition lifecycle process engineering, organizational development, activity and data modeling, and business management techniques.

Designs, develops, and maintains enterprise-scale Apache NiFi data flows for secure data onboarding, integration, transformation, and governance. Develops custom Java processors, controller services, APIs, and validation components; integrates databases, APIs, messaging systems, Kafka, and cloud storage. Optimizes clustered pipelines, implements metadata and security controls, supports Zero Trust requirements, troubleshoots complex data movement issues, and mentors engineers while contributing to architecture, standards, and documentation.

Designs, develops, and maintains enterprise Apache NiFi data flows and custom Java processors for secure, scalable data integration. Responsibilities include building ingestion pipelines, integrating APIs, databases, message queues, Kafka, and cloud storage, managing metadata and governance, optimizing clustered deployments, and implementing Zero Trust security controls. The role supports complex data onboarding, transformation, validation, workflow automation, and enterprise architecture initiatives.

Develop and manage end-to-end development environments, perform system trade analyses, and create system design alternatives optimized for lifecycle cost, reuse, complexity, risk, expansion, and growth. The role also involves Agile Scrum Master responsibilities, technical documentation, and collaboration within an Agile software development environment using Jira and Confluence.

Supports an IC-wide mission environment and software engineering project by administering Linux systems and Kubernetes-based platforms. Responsibilities include container tooling, Bash scripting, system administration, networking, storage, authentication, security compliance, physical server administration, and classified-network support. The role may also use Python, Ansible, Salt, VMware, encryption, and key-management technologies, while requiring Security+ certification and potentially SYS3 clearance.

Support the corporate storage team by monitoring and managing backup systems, onboarding servers and virtual machines, configuring backup solutions, troubleshooting backup appliances and storage arrays, and resolving SAN issues through command-line troubleshooting and zoning. Collaborate with customers and the ISSO on break-fix coordination, vulnerability patching, and SSP reauthorization. Participate in a scheduled rotational after-hours on-call rotation.

Develops, troubleshoots, and supports enterprise Oracle database applications using advanced SQL and PL/SQL. Responsibilities include debugging production issues, optimizing database code, maintaining data feeds and integrations across NiFi, AWS, APIs, and files, performing data validation and reconciliation, supporting deployments and incidents, tuning performance, and collaborating with DBAs and infrastructure teams on RAC, recovery, Data Guard, security, and operational reliability.

Administer and modernize Oracle 19c databases across on-premises and AWS RDS environments. Responsibilities include schema design, performance tuning, patching, security hardening, backup and disaster recovery, monitoring, compliance controls, production troubleshooting, and technical documentation. The engineer will optimize Java database interactions, support SAP BI reporting, integrate Apache Solr indexing, and execute migration strategies from VMware to AWS RDS. The role requires the ability to obtain or maintain a TS/SCI government clearance.

Establish and govern a centralized knowledge management framework on JWICS SharePoint, author and maintain technical documentation and SOPs, design role-based training curricula and materials, manage document governance and version control, and facilitate knowledge-sharing across the Defense Intelligence Agency program.

Lead Agile software development processes for a Defense Intelligence Agency data modernization initiative. Facilitate Scrum ceremonies, manage epics and user stories in Agile tools, coordinate cross-functional data engineering and DevSecOps teams, support CI/CD pipelines, remove impediments, and drive continuous improvement in secure federal environments.

Designs, develops, and maintains ETL/ELT pipelines, APIs, and data integration services for analytics, reporting, and operational needs. Responsibilities include data mapping, transformation, validation, ingestion automation, performance optimization, cloud architecture support, metadata and lineage implementation, workflow documentation, and collaboration with data governance and security teams. The role also supports source analysis, requirements gathering, interface design, testing, deployment, and enterprise data catalog initiatives.

Develops enterprise taxonomies, ontologies, semantic models, metadata frameworks, and data-tagging strategies. Leads analyses of alternatives for semantic technologies and interoperability approaches, supports data governance and information sharing, and partners with security teams on ABAC, Zero Trust, classification, and data-centric security. Provides technical recommendations and establishes standards for data discoverability, interoperability, access control, and semantic consistency across Federal, DoD, or Intelligence Community environments.

Architects and operates enterprise AI/ML data platforms supporting vector search, RAG, LLM applications, and Agentic AI. Establishes data governance, lineage, traceability, explainability, monitoring, and evaluation controls. Partners with engineering, cybersecurity, architecture, data science, and mission stakeholders to deliver secure, scalable cloud-native capabilities. Evaluates emerging AI technologies, coordinates enterprise initiatives, and communicates technical risks, tradeoffs, and mission impacts to senior leadership.

Analyzes structured, unstructured, and semi-structured datasets using data engineering, machine learning, statistical analysis, visualization, and text-processing techniques. The role develops recommendations for data acquisition and enterprise data strategy, identifies patterns and anomalies, researches emerging methodologies, and presents findings to senior government leadership. It also requires collaboration with contractor teams and use of project management and documentation tools.

Develops and sustains cloud software through requirements analysis, development, integration, testing, validation, enhancement, and issue resolution. The role includes cloud software research, installation, evaluation, and ongoing engineering support. Candidates need at least five years of directly related experience, cloud development certifications, and an active TS/SCI clearance with polygraph. A technical bachelor’s or master’s degree may substitute for portions of the experience requirement.

Develop and maintain web-based Java applications supporting compliant IC data management and movement. Design complex algorithms, perform quality control, improve documentation and development standards, collaborate with systems and hardware engineers, and coordinate software installation and operational monitoring. The role uses Agile methods and technologies including Quarkus, PrimeFaces, SQL, PostgreSQL, and Elasticsearch.

Designs and implements data engineering and systems engineering solutions using NiFi, Linux, structured data, databases, Java, and Splunk. Maps and models data transformations, supports ingestion and routing, documents data flows, conducts system trade analyses, manages configuration, defines interfaces, evaluates design alternatives, and provides technical direction across the systems engineering lifecycle. Requires TS/SCI clearance with polygraph.

Administer, maintain, monitor, and provide operational support for a secure, multi-tenant Kubernetes Platform-as-a-Service environment on Linux. Ensure platform reliability, scalability, security compliance, and performance by troubleshooting workloads, networking, storage, ingress, and infrastructure issues. Develop automation with Bash, Python, Ansible, and Helm; use monitoring tools and Git-based collaboration. Support integration, installation, configuration, upgrades, and maintenance of COTS/GOTS software.

Integrates, tests, evaluates, configures, and troubleshoots high-performance computing software stacks and systems. Develops Bash and Python automation, administers Linux and HPC environments, supports Slurm scheduling, shared filesystems, monitoring, networking, accelerators, and infrastructure-as-code tools. Diagnoses software and hardware issues using rigorous root-cause analysis and supports large-scale HPC systems and customers.

Administer and sustain large-scale Linux clusters, including software installation, configuration, monitoring, troubleshooting, security compliance, and performance enhancements. Manage compute, network, memory, and storage components; configure VMware virtualization environments; automate infrastructure using SaltStack and Ansible; support containerization; and use tools such as Red Hat Satellite, Splunk, HPE OneView, and Nagios. The role requires an active TS/SCI with polygraph, Security+, extensive systems administration experience, and a technical bachelor’s degree or equivalent experience.