AI-Native Software Engineer

Build, test, deploy, and support production software using .NET/C#, React or Next.js, cloud platforms, databases, observability, and modern architecture patterns. Incorporate Claude Code, Gemini CLI, AI agents, MCP, and automation into structured engineering workflows while validating AI-generated output. Own delivery from planning through production, implement secure integrations and testing, document architectural decisions, troubleshoot systems, identify risks, and mentor engineers on responsible AI adoption., * We’re looking for a Senior AI-Native Software Engineer who combines strong software engineering fundamentals with genuinely AI-native development practices.

• AI-assisted development isn’t an experiment or a side project here. It’s becoming part of how great software gets planned, architected, built, tested, verified, documented, monitored, and shipped.
• If Claude Code, Gemini CLI, or similar AI development tools already feel like a natural extension of how you work-but you also know that “the AI said it works” is definitely not a testing strategy-you’ll probably enjoy this one.
• You’ll take work from ticket * plan * implementation * verification * PR * production, using AI to create genuine engineering leverage without outsourcing your engineering judgment to it.
• That means knowing how to work with agents, context, automation, and AI-assisted workflows-and knowing when an AI-generated answer needs to be challenged, corrected, or replaced by a human one., * Build, maintain, test, and support production software applications.
• Use Claude Code, Gemini CLI, or similar AI-assisted development tools as part of daily engineering workflows.
• Own delivery from ticket * plan * implementation * verification * pull request * production.
• Plan and validate technical approaches before generating implementation code.
• Maintain project context files such as CLAUDE.md, reusable prompts, skills, and engineering conventions.
• Build and maintain workflows involving AI agents, MCP servers, subagents, hooks, and headless or CI-run agents.
• Connect AI agents with development tools, databases, and engineering workflows.
• Review AI-generated code for incorrect assumptions, invented APIs, security issues, and inadequate tests.
• Build meaningful unit and integration tests against actual acceptance criteria, including edge cases.
• Apply Clean Architecture, Domain-Driven Design (DDD), CQRS, and core design patterns where appropriate.
• Work with relational and NoSQL databases, including schema design, query tuning, and migrations.
• Build and support services in AWS or Azure environments.
• Implement and use structured logging, metrics, distributed tracing, and meaningful alerting to diagnose production issues.
• Create and maintain design notes, Architecture Decision Records (ADRs), API documentation, release notes, and runbooks.
• Build AI-driven automation for repetitive engineering and operational processes using tools such as n8n or Zapier.
• Integrate applications with third-party APIs and services.
• Contribute to technical planning, estimation, and software delivery.
• Protect sensitive information when using AI tools, including secrets, customer PII, and payment/card data.
• Apply appropriate access scoping and security practices when connecting AI agents to systems and data.
• Identify technical, security, privacy, and delivery risks early.
• Own software through deployment, troubleshooting, and production support.
• Share effective AI-assisted engineering patterns and help standardize workflows across the engineering team.
• Coach and mentor engineers on responsible and effective AI adoption., Coordinate end-to-end installation projects for customers by tracking progress, scheduling within SLAs, documenting interactions, resolving work order issues, and communicating with customers, service providers, stores and vendors. Maintain compliance documentation, use systems (Installation Management System, myRedVest, Salesforce), deliver customer support via inbound/outbound calls, and adapt to process changes while meeting performance goals. Top Skills: Installation Management SystemMyredvestSalesforce PNC Bank

Technology Solution Center Analyst Lead

2 Hours Ago Remote or Hybrid USA 41K-83K Annually Mid level 41K-83K Annually Mid level Machine Learning * Payments * Security * Software * Financial Services Provides enterprise technology support through phone, ticketing, and potentially chat channels. Troubleshoots hardware, software, network, access, and application issues; manages incidents and escalations; documents resolutions in ServiceNow or similar ITSM tools; analyzes trends and operations data; supports knowledge management, training, process improvement, and automation; and coaches junior analysts while maintaining customer service, security, and confidentiality standards. Top Skills: Call Center TechnologiesHardware InfrastructureItsmNetworkingServicenow PNC Bank

• 5-7+ years of commercial software engineering experience, including experience operating at Senior Software Engineer level.
• Strong commercial experience with .NET / C# and/or React / Next.js.
• Production experience with SQL Server, PostgreSQL and/or MongoDB.
• Database experience covering schema design, query tuning, and migrations.
• Hands-on experience with AWS or Azure, including deploying, running, and troubleshooting services.
• Experience with Clean Architecture, Domain-Driven Design (DDD), CQRS, and core software design patterns.
• Professional experience actively using Claude Code, Gemini CLI, or similar AI-assisted development tools.
• Experience incorporating AI-assisted development into structured software engineering workflows.
• Experience with AI-assisted testing, code review, documentation, and automation.
• Strong unit and integration testing practices, including verification against acceptance criteria.
• Experience with GitHub and Jira or equivalent software delivery workflows.
• Experience with production observability, including structured logging, metrics, distributed tracing, and alerting.
• Strong technical documentation skills, including design notes, ADRs, API documentation, and runbooks.
• Experience contributing to planning, estimation, and delivery.
• Experience owning software through development, deployment, and production support.
• Understanding of security and privacy requirements when using AI tools with sensitive information.
• Ability to explain architectural decisions and technical trade-offs clearly.
• Ability to mentor engineers and support adoption of effective AI development practices.
• Ability to work consistently during AEST business hours.

Preferred Qualifications:

• Experience with MCP servers.
• Experience with AI subagents and hooks.
• Experience with headless or CI-run AI agents.
• Experience with context engineering, including project context files such as CLAUDE.md.
• Experience creating reusable AI prompts, skills, and engineering conventions.
• Experience connecting AI agents with Jira, GitHub, databases, and development workflows.
• Experience with n8n.
• Experience with Zapier.
• Experience with CI/CD-integrated AI tooling.
• Experience with OpenTelemetry.
• Experience with advanced observability tooling and distributed tracing platforms.
• Blazor development experience.
• Framer experience.
• Third-party API integration experience.
• Experience working in fintech, payments, or another regulated environment.
• Familiarity with ISO 27001 environments.
• Familiarity with PCI DSS compliance requirements.

• Permanent Work-from-home setup
• Company-provided equipment
• Secondary Wi-Fi Modem
• 21 Leave Credits Annually - Leave benefits begin on Day 1.
• 100% conversion of UNUSED leave credits
• HMO on Day 1
• 13th Month Pay
• Monthly Gift Voucher
• Milestone Tokens (Birthday/Anniversary/Christmas).
• A Life Beyond the Screen #WorkLifeBalance.
• Active employee engagements physically such as Christmas Party & Team Building, and virtual events such as town-hall with prizes., 86K-173K Annually Senior level 86K-173K Annually Senior level Machine Learning * Payments * Security * Software * Financial Services Leads the design, automation, deployment, monitoring, and security of Azure cloud infrastructure. Builds Infrastructure as Code with Terraform, Bicep, or ARM templates; manages CI/CD pipelines through Azure DevOps and GitHub; and implements monitoring, logging, alerting, incident response, patching, and vulnerability management. Collaborates with engineering, development, architecture, security, and incident management teams to improve system reliability, scalability, performance, and cost efficiency. Top Skills: Arm TemplatesAzureAzure DevopsAzure MonitorBashBicepCi/CdElastic StackElk StackGithub ActionsGithub EnterpriseInfrastructure As CodeKubernetesPowershellTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

About PeoplePartners

• At PeoplePartners, we believe great careers happen when talented people get the opportunity, support, and freedom to do their best work.
• As a Great Place to Work® certified company, we’ve built a people-first culture where growth isn’t just talked about-it’s part of the experience. You’ll gain valuable global exposure working with an Australian-based technology environment, tackle meaningful engineering challenges, and continue developing alongside people who genuinely want to see you succeed.
• If you’re looking for challenging work, international experience, continuous learning, and a workplace that puts people first, you’ll feel right at home., * At PeoplePartners, you’ll be part of a Great Place to Work® certified culture where people, learning, and career development matter. You’ll gain international exposure supporting an Australian environment while enjoying the advantages of a remote, work-from-home setup.
• You’ll have opportunities to keep developing your technical capabilities, experiment with emerging AI engineering practices, participate in employee engagement activities, and learn alongside people who believe better ways of working are worth sharing.
• And this isn’t a role where success is measured by how much code AI can generate.
• Success means delivering reliable production software, meaningful tests, sound architectural decisions, clear documentation, stronger engineering workflows, responsible AI adoption, and outcomes you’re prepared to own.
• If you think before you generate, verify before you ship, raise risks early, and know when AI needs a human engineer to take over, we want to hear from you.
• Ready to build software with AI rather than simply ask AI to build software for you? Apply through PeoplePartners and show us how AI has changed the way you plan, build, test, verify, and ship.