Jobs at ProArch

Build enterprise-grade full-stack and AI-powered applications using .NET Core, C#, Angular, Azure, and generative AI technologies. Develop chatbots, AI agents, search tools, RAG pipelines, microservices, APIs, and serverless components. Design secure, scalable cloud solutions, integrate external services and databases, create reusable frameworks, troubleshoot performance issues, and support Azure-hosted applications. Collaborate with architects, product owners, Scrum Masters, and cross-functional Agile teams.

Administer and support Jira and Confluence across self-hosted, Data Center, and Atlassian Cloud environments. Configure workflows, permissions, schemes, integrations, plugins, dashboards, and automation. Maintain reliability, performance, backups, SSO, and user provisioning while resolving service tickets and providing training and documentation. Build integrations using REST APIs, Groovy, scripting, and automation tools, and collaborate with Engineering, Security, and Operations on enterprise initiatives.

Configure, maintain, and enhance Salesforce applications, including automation, security, data management, reports, and dashboards. Partner with product owners and development teams in Agile environments to gather requirements, deliver solutions, troubleshoot issues, support testing and deployments, and improve platform processes. Provide documentation, user support, and guidance while managing multiple Salesforce initiatives and maintaining data quality.

Build and maintain LENS California Power BI dashboards and recurring reports by integrating Atrezzo, claims, eligibility, provider, PRISM, and WP2 data. Track outreach, appointments, provider connections, and operational KPIs. Maintain data refreshes, validation, security, documentation, usability, and consistent metric definitions while gathering requirements and adapting dashboards to evolving DHCS and Gainwell reporting needs.

Develop and support scalable full-stack web applications using .NET on the backend and Angular on the frontend. Responsibilities include delivering UI, API, and database features; integrating external services; resolving performance issues; deploying applications to Azure; writing maintainable code and unit tests; and participating in Agile ceremonies with cross-functional teams.

Supports implementation and stabilization of inbound and outbound healthcare data processes. Ingests, transforms, validates, and reconciles Medicaid claims and eligibility feeds from Gainwell, Arcadia, DHCS, and other sources. Establishes data-quality, refresh, completeness, and reconciliation controls for PRISM, case creation, and reporting. Supports Atrezzo interfaces, data exchanges, production analytics, troubleshooting, root-cause analysis, stakeholder communication, and implementation workstreams.

Conduct customer and market research, define product requirements, create user stories and workflows, map use cases to Vector’s Six Intelligence Model, and support AI-native experiences across Microsoft Teams and web portals. Analyze product adoption and usage metrics while collaborating with engineering, architecture, and product teams. The internship offers practical exposure to enterprise SaaS, cloud operations, agentic AI, and product development, with potential performance-based conversion to a trainee program.

Three-month unpaid interns build Vector, an AI-native enterprise platform, across frontend, APIs, data, cloud, and AI engineering. Responsibilities include developing product capabilities, translating enterprise use cases into software and AI solutions, writing tests and documentation, debugging, evaluating results, participating in code reviews, and improving reliability and performance. The program may lead to a one-year trainee role and eventual software engineering or product opportunities based on performance.

Design and build extract/load (ETL) scripts to move patch and RSU maintenance data and vendor feeds into a central database, create data extraction processes for reporting, produce daily management summaries, and help automate process flows and tracking.

Develop and support secure, scalable full-stack applications using .NET Core, C#, Angular, Azure, microservices, APIs, and serverless components. Responsibilities include building reusable frameworks, integrating external services, designing cloud solutions, troubleshooting performance issues, writing maintainable code and unit tests, and participating in Agile ceremonies while collaborating with architects, product owners, and engineering stakeholders.

Architects and implements scalable data pipelines and enterprise data solutions spanning data lakes, warehouses, marts, and distributed systems. Designs dimensional and semantic data models, curated datasets, and Power BI reporting solutions with DAX, security, governance, and performance optimization. Establishes data lineage, metadata, stewardship, compliance, and secure access practices. Collaborates with stakeholders to translate business and reporting requirements into reusable analytics assets, while supporting AI and MLOps data pipelines across cloud and hybrid platforms.

Own product planning, requirements, backlog prioritization, user stories, and acceptance criteria for payroll, HR, and financial products. Collaborate with engineering, design, QA, compliance, operations, and business stakeholders throughout Agile delivery. Support sprint ceremonies, UAT, post-release validation, product performance monitoring, user feedback, regulatory compliance, and roadmap development. Conduct functional analysis and market benchmarking to improve payroll, HR systems, and FinTech solutions.

Design, develop, and maintain interactive Power BI/Fabric dashboards, conduct data analysis to surface trends and insights, collaborate with stakeholders to gather requirements, ensure data quality through ETL and modeling, and present findings to inform business decisions.

Design and implement scalable, resilient backend solutions; re-architect products for serverless/containerized cloud; ensure code quality, security, accessibility and HIPAA compliance; conduct code reviews; support onboarding, POCs, vendor escalations, and respond to technical RFPs.

Lead design and implementation of advanced analytics and machine learning solutions. Engage with stakeholders to drive data-driven decisions and deliver measurable business outcomes.

Design, build, and optimize scalable Azure cloud data platforms and high-performance ETL pipelines using Synapse, ADF, Spark, SQL, and Python. Implement data models, DataOps/CI-CD, quality checks, cost and performance optimizations, troubleshoot production issues, and collaborate with clients and stakeholders while mentoring junior engineers.