Chiri is an AI managed service provider for company-specific AI.
The Role
Build and operate production full-stack applications using .NET, React, Azure, Terraform, relational databases, and CI/CD. Develop AI-native capabilities including LLM integrations, agentic workflows, retrieval, evaluation, and human-in-the-loop controls. Modernize brownfield systems, improve security and testing, design APIs and infrastructure, manage data workflows, and collaborate directly with clients and stakeholders in a fully remote environment.
Summary Generated by Built In
Why Chiri
Role Overview
Key Responsibilities
Required Skills and Experience
Preferred Qualifications
How You Work
What We Offer
Our SCOUT Values
Our values are not wall art. They describe how we expect people to operate.
Seek to Understand
Call It Out
Ownership Mentality
Use Human Judgment
Talk with Precision
The convergence of human and digital workforces is changing how companies build, operate, and scale.
Chiri works directly with organizations to turn that shift into working systems. Our forward-deployed teams operate inside the technologies and processes our clients already use, combining modern software engineering, AI, and practical operating expertise to build capabilities that work in the real world.
We are looking for ambitious builders who want to help shape what comes next.
Chiri is looking for a hands-on C# / Azure Engineer to work on forward-deployed client engagements spanning existing Microsoft environments, cloud modernization, data infrastructure, and on-premise-to-Azure migration.
This is not simply a cloud-native development role.
You may step into an established environment running C#/.NET applications, SQL Server, Windows Server, virtualized infrastructure, and on-premise systems that need to be understood, modernized, integrated, or migrated into Azure.
You will work directly with client engineering and technical leadership teams to understand existing environments, identify migration paths, build and improve applications and infrastructure, and carry those decisions through implementation.
We are looking for someone with roughly 4+ years of Azure experience and 3+ years of professional C# experience who is comfortable working independently, navigating unfamiliar systems, and taking ownership of getting things done.
- Build, extend, and maintain production applications and services using C# and .NET / ASP.NET Core.
- Work across on-premise, hybrid, and Azure cloud environments.
- Participate in and help lead on-premise-to-Azure migration projects.
- Assess existing applications, servers, databases, integrations, and infrastructure to determine practical migration and modernization approaches.
- Design, build, and operate production environments in Microsoft Azure.
- Work with SQL Server, Azure SQL, and Microsoft Windows Server environments.
- Define and manage infrastructure using Terraform and infrastructure as code.
- Build and maintain CI/CD pipelines for application, infrastructure, testing, and deployment workflows.
- Use PowerShell to automate infrastructure, deployment, configuration, and operational tasks.
- Work with GitHub and/or Bitbucket for source control and development workflows.
- Design, build, and maintain data pipelines, ingestion processes, and transformation workflows.
- Integrate applications, databases, APIs, cloud services, and existing client systems.
- Diagnose issues across applications, databases, servers, infrastructure, networking, and deployment environments.
- Modernize existing systems without assuming everything should be rewritten.
- Document systems, architectural decisions, migration approaches, operating procedures, and technical tradeoffs so clients can operate what we build.
You are an engineer who can own an outcome rather than simply execute predefined tickets.
You should bring:
- 4+ years of hands-on Microsoft Azure experience.
- 3+ years of professional C# / .NET development experience.
- Hands-on experience leading or participating in on-premise-to-cloud migrations.
- Strong experience with SQL Server.
- Experience working with Microsoft Windows Server environments.
- Hands-on experience with Terraform or comparable infrastructure-as-code tooling.
- Strong experience building and maintaining CI/CD pipelines.
- Experience with GitHub and/or Bitbucket.
- At least 1-2 years of hands-on PowerShell experience.
- Meaningful experience designing, building, or maintaining data pipelines.
- Experience operating real production applications and infrastructure in Azure.
- Strong understanding of APIs, integrations, authentication, authorization, secrets management, and application security.
- The ability to understand an unfamiliar existing environment and determine how applications, databases, servers, infrastructure, and integrations fit together.
- The ability to take partially defined requirements, ask the right questions, make sensible technical decisions, and move the work forward.
- Clear written and verbal English and the ability to communicate effectively with engineers, technical leadership, and non-technical stakeholders.
- Experience with VMware / vSphere.
- Experience operating hybrid Azure and on-premise environments.
- Experience modernizing established or legacy .NET applications.
- Experience with Azure migration tooling and workload migration.
- Experience with Active Directory and Microsoft Entra ID.
- Experience with Azure networking, private networking, identity, security, monitoring, and production hardening.
- Experience with Azure Data Factory, SSIS, or comparable data integration technologies.
- Experience migrating or modernizing SQL Server workloads.
- Experience working with IIS or other traditional Microsoft application-hosting environments.
- Experience with infrastructure monitoring, backup, recovery, and operational troubleshooting.
- Consulting, client-facing engineering, or forward-deployed engineering experience.
- Experience working alongside a CTO, chief architect, or client technical leadership while retaining hands-on ownership of implementation.
You are pragmatic. You know when to migrate something, when to modernize it, when to rebuild it, and when the smartest engineering decision is to leave it alone.
You are equally comfortable opening an unfamiliar C# codebase, troubleshooting a SQL Server issue, understanding how an on-premise application is deployed, working through infrastructure in Azure, or figuring out how a client can safely move an existing workload into the cloud.
You think beyond code. Infrastructure, deployment, networking, security, data integrity, observability, backup, recoverability, and maintainability are all part of the system.
You do not assume that every client environment is clean, modern, or cloud-native. You are comfortable working through the complexity of real production environments that have evolved over years.
You do not need every detail prescribed before you begin. Give you the business objective, the existing environment, and the architectural guardrails, and you can help determine the path from there.
Most importantly, you take ownership. You leave systems more understandable, more secure, more reliable, and easier for the people who inherit them to operate.
- A fast-paced, fully remote environment with meaningful ownership.
- The opportunity to work across application development, cloud infrastructure, modernization, and AI.
- Access to cutting-edge AI tools, models, cloud technologies, and internal playbooks.
- Direct collaboration with experienced engineers and company leadership.
- Exposure to complex real-world client environments rather than isolated feature development.
- The opportunity to grow from implementation ownership into broader technical and architectural responsibility.
- A culture that values curiosity, continuous learning, and pragmatic problem-solving.
Our SCOUT Values
Assume you might be wrong. Clarity before action.
See something, say something. Say the hard thing.
"That's not my job" does not exist.
Judgment, context, and care come from us. AI is a tool.
Concise. Intentional.
Skills Required
- 3–4+ years of professional software engineering experience
- Production experience with C#, .NET, ASP.NET Core, REST APIs, and modern application architecture
- Full-stack development experience with React and TypeScript or JavaScript
- Deep hands-on experience with Microsoft Azure and production cloud applications
- Experience with Terraform or comparable infrastructure-as-code tooling
- Experience building and maintaining CI/CD pipelines, automated tests, Git workflows, and production releases
- Strong SQL and relational data-modeling fundamentals
- Experience integrating external APIs and services into production applications
- Application-security knowledge covering authentication, authorization, secrets, encryption, dependencies, least privilege, and sensitive data
- Experience using modern AI models and APIs in production software
- Understanding of testing, evaluation, grounding, observability, and guardrails for probabilistic AI systems
- Ability to make technical decisions from partially defined requirements and take ownership of outcomes
- Clear written and verbal English communication skills with technical and non-technical stakeholders
- Experience modernizing or owning an established brownfield .NET application
- Experience building AI-native SaaS products or agentic applications
- Experience with Supabase and PostgreSQL
- Experience with Azure private networking, Private Endpoints, Azure Policy, Defender for Cloud, managed identities, and security hardening
- Experience with GitHub-based CI/CD and repository administration
- Healthcare technology or PHI/HIPAA-regulated data experience
- Experience with data anonymization, de-identification, tenant isolation, audit logging, and secure data architecture
- ETL, spreadsheet ingestion, catalog, assessment, or data-intensive application workflow experience
- Product-minded engineering experience with customer experience and usability
- Consulting, client-facing engineering, or forward-deployed engineering experience
- Experience working with CTOs, chief architects, or client technical leadership while retaining implementation ownership
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The Company
What We Do
We turn business problems into governed applications, agents, and targeted software. Our forward-deployed pods combine senior operators and engineers. Each pod embeds with client teams, learns how work happens, and ships production systems within weeks. Chiri supports AI adoption, AI optimization, and AI software engineering. We assess workflows, design operating models, and deploy digital workers into existing tools. We also audit scattered AI systems, add governance, consolidate systems, and measure return on investment. Chiri Brain provides the shared foundation for every deployment. Its ontology preserves company knowledge and operating context. Sherpa connects current applications and provides broad AI model access. Glacier applies security, permissions, validation, and audit controls. Client data remains client-owned. Each Statement of Work defines the custom deliverables and related terms. Chiri supports work across go-to-market, engineering, finance, and people operations. Our systems work inside tools such as Slack, HubSpot, Gmail, Teams, Salesforce, Jira, and Zendesk. We build from a first production application through enterprise scale. Chiri Brain remains after the pod steps back. This model gives companies lasting AI capability without requiring a separate internal AI company.
Why Work With Us
We value curiosity, ownership, speed, and people who love solving complex problems with simple solutions. If you’re excited about building a meaningful company, working with highly talented people, and making a real impact from day one, we’d love to meet you.
