Software Engineer

Posted Yesterday
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Austin, TX, USA
In-Office
Mid level
Information Technology • Security • Software
The Role
Build and maintain AI development platform services, agent harnesses, orchestration capabilities, MCP integrations, evaluation systems, testing frameworks, telemetry, and secure developer workflows. Collaborate with product and engineering teams to deliver scoped platform features, participate in code reviews, document solutions, and improve reliability of agent-based software development.
Summary Generated by Built In

At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.

The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us!

Role overview

SolarWinds Product and Engineering is building shared platform capabilities that help software teams use AI agents throughout the software development lifecycle. As a Software Engineer on the AI Development Platform team, you will build and improve the services, integrations, and developer workflows that make those capabilities useful, secure, and dependable.

You will contribute production-quality software for agent-based development workflows, including agent harnesses, execution and orchestration, custom tool integrations, and the supporting evaluation, testing, and telemetry. You’ll work with product and engineering partners to turn well-defined needs into working features, use AI tools as part of your own development workflow, and learn the platform’s production environment with support from senior engineers.

What you’ll do
  • Design, implement, test, debug, and maintain small-to-medium platform features and services.
  • Build and improve agent-based software development workflows that take work from specifications and context through agent-assisted implementation, pull requests, review, and verification, including the harnesses, tools, and integrations that help agents plan and execute work, use engineering context, and produce reviewable results.
  • Contribute agent orchestration and execution capabilities, including reliable, isolated environments with appropriate access to repositories, tools, and dependencies.
  • Build and maintain custom MCP servers or similar integrations that connect agents to engineering systems such as source control, work tracking, documentation, CI/CD, and testing tools.
  • Build and maintain testing and evaluation approaches for agents and models, including repeatable test suites, evaluation datasets or scenarios, regression checks, and observability to verify outputs and improve reliability.
  • Contribute to platform capabilities for model and tool flexibility, usage attribution, budget visibility, and operational telemetry.
  • Apply secure engineering practices, including least-privilege access, protection of secrets, useful auditability, and human review or approval where appropriate.
  • Participate in code reviews and design discussions.
  • Use AI development tools thoughtfully to improve productivity and code quality, while validating generated code and sharing useful practices with teammates.
  • Write and maintain clear technical documentation, tests, scripts, and developer-facing guidance that make platform capabilities easier to adopt.
What you bring
  • Experience building and supporting software in a team environment, with sound skills in coding, debugging, testing, and version control.
  • Ability to implement medium-complexity changes using established patterns, data structures, and engineering practices; willingness to ask for guidance when problems or risks exceed your experience.
  • Familiarity with Git-based workflows, code review, automated testing, and iterative delivery.
  • Practical problem-solving skills: you can clarify requirements, compare straightforward implementation options, and produce simple, effective solutions.
  • Interest in cloud services, developer platforms, automation, and improving the software development experience for other engineers.
  • Hands-on experience building with AI agents or agentic workflows, or developing the harnesses and integrations that enable agents to perform useful work. You can explain how you tested agent behavior and handled failures or uncertain outputs.
  • Regular use of AI-assisted development tools, with the judgment to review, test, and take responsibility for the results.
  • Clear communication and the ability to collaborate with engineers and partners across disciplines.
Helpful experience
  • Working with containers, isolated or sandboxed workloads, event-driven systems, or workflow orchestration.
  • Building agent or model evaluation systems, testing frameworks, evaluation datasets, test fixtures, guardrails, or observability to assess quality, consistency, and reliability across changes.
  • Working with LLM APIs, model gateways, usage telemetry, or cost controls.
  • Experience with observability, identity and access controls, or secure software delivery.

At this level, you independently deliver scoped features and small-to-medium projects, while seeking senior-engineer input on design tradeoffs, unfamiliar production systems, and higher-risk changes. You contribute to team quality through testing, code review, documentation, and reliable follow-through; you are developing deeper knowledge of the platform stack and its production environment.


SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law.

All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice

Skills Required

  • Experience building and supporting software in a team environment, including coding, debugging, testing, and version control
  • Ability to implement medium-complexity changes using established engineering patterns and practices
  • Familiarity with Git-based workflows, code review, automated testing, and iterative delivery
  • Practical problem-solving and requirements clarification skills
  • Interest in cloud services, developer platforms, automation, and improving software development experiences
  • Hands-on experience building with AI agents or agentic workflows, including testing agent behavior and handling failures or uncertain outputs
  • Regular use of AI-assisted development tools with the ability to review and validate generated code
  • Clear communication and cross-disciplinary collaboration skills
  • Experience with containers, isolated or sandboxed workloads, event-driven systems, or workflow orchestration
  • Experience building agent or model evaluation systems, testing frameworks, evaluation datasets, test fixtures, guardrails, or observability systems
  • Experience with LLM APIs, model gateways, usage telemetry, or cost controls
  • Experience with observability, identity and access controls, or secure software delivery

SolarWinds Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SolarWinds and has not been reviewed or approved by SolarWinds.

  • Healthcare Strength — Health coverage and related benefits are frequently characterized as solid parts of the package. Feedback suggests medical plans and general perks stand out compared with sentiments about base pay.
  • Leave & Time Off Breadth — Paid time off is often highlighted positively. Feedback suggests time-away policies contribute meaningfully to overall satisfaction with benefits.
  • Wellbeing & Lifestyle Benefits — Wellbeing support, inclusion groups, and a supportive workplace culture are emphasized. Feedback suggests these programs enhance the perceived value of the total rewards package.

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The Company
HQ: Austin, TX
2,299 Employees
Year Founded: 1999

What We Do

SolarWinds is a leading provider of powerful and affordable IT management software. Our products give organizations worldwide—regardless of type, size, or complexity—the power to monitor and manage their IT services, infrastructures, and applications; whether on-premises, in the cloud, or via hybrid models. We continuously engage with technology professionals—IT service and operations professionals, DevOps professionals, and managed services providers (MSPs)—to understand the challenges they face in maintaining high-performing and highly available IT infrastructures and applications. The insights we gain from them, in places like our THWACK® community, allow us to solve well-understood IT management challenges in the ways technology professionals want them solved. Our focus on the user and commitment to excellence in end-to-end hybrid IT management has established SolarWinds as a worldwide leader in solutions for network and IT service management, application performance, and managed services.

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