Flamingo

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.

Role Overview
This role focuses on building a SaaS product with additional support for local installations. You'll own the design and implementation of cloud infrastructure from the early stages, setting the foundation for how the platform operates.

The product is fully Kubernetes-based - a multi-tenant fleet of private GKE clusters on GCP, provisioned with Terraform and reconciled by ArgoCD from our own Helm charts. Strong expertise in cluster management, automation, and container orchestration is essential. The system is high-load, so reliability is the top priority. You'll also contribute to our open-source product.

Key Responsibilities
Design and maintain GCP infrastructure (compute, storage, networking, IAM, KMS, managed databases) using Terraform

• Operate a growing fleet of private GKE clusters: administration, upgrades, capacity planning, Gateway API, custom Helm charts
• Build CI/CD pipelines with GitHub Actions and ArgoCD following GitOps practices, including ephemeral per-PR environments
• Implement monitoring, logging, and alerting with Mimir, Loki, Alloy, and Grafana - dashboards and alerts as code
• Design and secure cloud networking: VPC architecture, load balancers, Cloud Armor WAF, TLS automation, NetworkPolicies
• Operate the stateful layer with engineering teams: MongoDB, Kafka, Cassandra, Pinot, Redis, NATS, Cloud SQL - sizing, upgrades, backups, disaster recovery

• Collaborate with engineering teams on deployment strategies and reliability
   

  Qualifications
  Must-Have

• Kubernetes - strong expertise in cluster administration, workload orchestration, and GitOps practices; ability to write and maintain custom Helm Charts
• Terraform - proven experience managing infrastructure as code and operating multi-environment estates on GCP
• Cloud platforms - solid knowledge of GCP core services, including compute, storage, and managed databases; equivalent AWS depth is fine if you are ready to work GCP-first
• Cloud networking - experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity
• Infrastructure security - practical experience with IAM, workload identity, secrets management, TLS, encryption (KMS/CMEK), and policy enforcement in production environments
• CI/CD workflows - experience building and maintaining pipelines with GitHub Actions/GitLab CI and ArgoCD/FluxCD
• Databases and messaging - operational knowledge of MongoDB, MySQL/Postgres, Redis, and streaming platforms such as Kafka; comfortable running stateful workloads on Kubernetes
• Observability - hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing
  
  Nice-to-Have
• Multi-tenant SaaS platform experience: namespace- or cluster-per-tenant models and tenant provisioning automation
• OpenTelemetry and distributed tracing, SLOs, and incident response practice
• Supply-chain and compliance work: cosign/SBOMs, image scanning, SOC 2 or ISO 27001
• Experience with serverless architectures and event-driven systems, such as AWS Lambda, Cloud Functions, or Pub/Sub triggers
• Experience contributing to or maintaining open-source products
• Relevant certifications would be a plus

Why Join Flamingo?

• High-impact role: Make a direct impact on the stability and scalability of our AI-driven platform.
• Innovative Tech Stack: Work with cutting-edge AI, security, and cloud technologies.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

Role Overview
 As a QA Automation Engineer at Flamingo, you'll play a critical role in ensuring the quality and reliability of our backend services and microservice architecture. You'll build robust test automation frameworks, develop integration and E2E tests, and work closely with engineering, DevOps, and support teams to drive a culture of quality.
 

What You'll Do

• Own end-to-end test strategy: exploratory, functional, regression, integration, and cross-browser testing
• Build and maintain automated test suites using Selenium WebDriver and/or Playwright for Java; API automation with RestAssured against REST and GraphQL endpoints
• Build isolated testing environments using Docker and related tools
• Integrate tests into CI/CD pipelines keeping suites fast, reliable, and low-flakiness
• Use AI coding assistants (Claude Code, Cursor, GitHub Copilot) to accelerate test authoring and maintenance
• Test AI/LLM features: evals, prompt regression suites, hallucination and safety checks
• Investigate defects with rigor: clear repro steps, root-cause hypotheses, tight collaboration with developers
• Create and maintain test documentation, including test plans and coverage reports
• Champion shift-left testing, risk-based prioritization, and observability for tests

Qualifications
Must-Have:

• 5+ years of QA experience with strong manual testing foundation: test design, exploratory testing, sharp eye for edge cases
• 4+ years of hands-on test automation experience in Java (11+), Maven or Gradle, JUnit/TestNG, Git
• Selenium WebDriver and/or Playwright for Java; Page Object frameworks, stabilizing flaky suites
• RestAssured for API testing (contract, integration, negative-path); OpenAPI/Swagger fluency
• Hands-on GraphQL: queries, mutations, schema changes, error shapes
• Strong understanding of microservices architecture and backend testing principles
• Basic Docker and Kubernetes: running containers locally, kubectl logs, debugging tests in containerized environments
• CI/CD: GitHub Actions, Jenkins, GitLab CI — integrating tests and triaging failures
• Command line comfort (bash/zsh) and log-digging (grep/jq, Kibana, Datadog)
• Hands-on AI coding assistants (Claude Code, Cursor, Copilot) as part of daily work
• Excellent written communication: bug reports, test plans, explaining quality risks

Nice-to-Have:

• Experience with Testcontainers, Pact, or WireMock
• Eval/regression suites for LLM-powered features
• Performance testing (JMeter, k6, Gatling)
• Security testing fundamentals (OWASP Top 10)
• Visual regression tooling (Percy, Applitools, Playwright snapshots)
• Experience building test processes from scratch in early-stage teams
• ISTQB or equivalent certification

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.

Role Overview
This role focuses on building a SaaS product with additional support for local installations. You'll own the design and implementation of cloud infrastructure from the early stages, setting the foundation for how the platform operates.

The product is fully Kubernetes-based - a multi-tenant fleet of private GKE clusters on GCP, provisioned with Terraform and reconciled by ArgoCD from our own Helm charts. Strong expertise in cluster management, automation, and container orchestration is essential. The system is high-load, so reliability is the top priority. You'll also contribute to our open-source product.

Key Responsibilities
Design and maintain GCP infrastructure (compute, storage, networking, IAM, KMS, managed databases) using Terraform

• Operate a growing fleet of private GKE clusters: administration, upgrades, capacity planning, Gateway API, custom Helm charts
• Build CI/CD pipelines with GitHub Actions and ArgoCD following GitOps practices, including ephemeral per-PR environments
• Implement monitoring, logging, and alerting with Mimir, Loki, Alloy, and Grafana - dashboards and alerts as code
• Design and secure cloud networking: VPC architecture, load balancers, Cloud Armor WAF, TLS automation, NetworkPolicies
• Operate the stateful layer with engineering teams: MongoDB, Kafka, Cassandra, Pinot, Redis, NATS, Cloud SQL - sizing, upgrades, backups, disaster recovery

• Collaborate with engineering teams on deployment strategies and reliability
   

  Qualifications
  Must-Have

• Kubernetes - strong expertise in cluster administration, workload orchestration, and GitOps practices; ability to write and maintain custom Helm Charts
• Terraform - proven experience managing infrastructure as code and operating multi-environment estates on GCP
• Cloud platforms - solid knowledge of GCP core services, including compute, storage, and managed databases; equivalent AWS depth is fine if you are ready to work GCP-first
• Cloud networking - experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity
• Infrastructure security - practical experience with IAM, workload identity, secrets management, TLS, encryption (KMS/CMEK), and policy enforcement in production environments
• CI/CD workflows - experience building and maintaining pipelines with GitHub Actions/GitLab CI and ArgoCD/FluxCD
• Databases and messaging - operational knowledge of MongoDB, MySQL/Postgres, Redis, and streaming platforms such as Kafka; comfortable running stateful workloads on Kubernetes
• Observability - hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing
  
  Nice-to-Have
• Multi-tenant SaaS platform experience: namespace- or cluster-per-tenant models and tenant provisioning automation
• OpenTelemetry and distributed tracing, SLOs, and incident response practice
• Supply-chain and compliance work: cosign/SBOMs, image scanning, SOC 2 or ISO 27001
• Experience with serverless architectures and event-driven systems, such as AWS Lambda, Cloud Functions, or Pub/Sub triggers
• Experience contributing to or maintaining open-source products
• Relevant certifications would be a plus

Why Join Flamingo?

• High-impact role: Make a direct impact on the stability and scalability of our AI-driven platform.
• Innovative Tech Stack: Work with cutting-edge AI, security, and cloud technologies.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.

We are now expanding our system layer, developing cross-platform agents and background services written in Rust, designed to operate on Windows, macOS, and Linux environments. These agents form the backbone of our telemetry and device management capabilities across thousands of managed endpoints.
 

Role Overview:
 As a Client Engineer, you'll build reliable, high-performance system services and daemons that power Flamingo's open-source infrastructure for MSPs. You will work closely with backend engineers to design, implement, and optimize cross-platform components responsible for device management, monitoring, and secure data exchange.
 

Key Responsibilities:

• Develop cross-platform agents, daemons, and background services in Rust for Windows, macOS, and Linux
• Work with low-level system APIs and platform-specific tools: Win32 API, LaunchAgents/Daemons, systemd, and more
• Integrate services with backend infrastructure via HTTP, WebSockets, and NATS
• Write secure, asynchronous, and performant Rust code using Tokio, Serde, and Tracing
• Optimize real-time data processing, message handling, and network performance
• Collaborate with backend and platform teams to ensure reliability, observability, and security across deployments
• Contribute to our open-source projects by writing clean, documented, and community-friendly code

Our Stack:

• Language: Rust (1.8x+)
• Core Libraries: tokio, serde, anyhow, tracing, thiserror
• Networking: reqwest / hyper (HTTP), tokio-tungstenite / warp (WebSockets), nats.rs (NATS)
• Platform APIs:
  • Windows – Win32, COM, Registry
  • macOS – LaunchAgents, Daemons, Keychain
  • Linux – systemd, journal, epoll, nix crate
• Tooling: Git, GitHub, cross-platform builds

Must-Have:

• Strong proficiency in Rust, including async programming and ownership concepts
• Experience developing system-level software for at least one major OS (Windows, macOS, or Linux)
• Familiarity with platform APIs (e.g., Win32 API, systemd, macOS Daemons)
• Solid understanding of networking (TCP/UDP, WebSockets, HTTP)
• Experience with multi-threaded and asynchronous programming
• Attention to security, performance, and code maintainability

Nice-to-Have:

• Experience with NATS, message brokers, or real-time telemetry systems
• Experience building cross-platform agents or monitoring tools
• Contributions to open-source projects (especially in Rust)

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations. 

Role Overview

We are looking for a Senior Test Engineer who blends deep manual QA craft with strong automation engineering and a forward-looking command of AI-assisted testing. You will own quality of our web (SaaS) product end-to-end - shaping test strategy, building and maintaining automation frameworks in Java across UI and API layers (including GraphQL), and pushing the team's adoption of AI tooling to ship faster without sacrificing quality.

What You'll Do

• Own end-to-end test strategy: exploratory, functional, regression, integration, and cross-browser testing
• Build and maintain automated test suites using Selenium WebDriver and/or Playwright for Java; API automation with RestAssured against REST and GraphQL endpoints
• Integrate tests into CI/CD pipelines keeping suites fast, reliable, and low-flakiness
• Use AI coding assistants (Claude Code, Cursor, GitHub Copilot) to accelerate test authoring and maintenance while upholding code-review standards
• Evaluate and adopt AI test-generation and self-healing tools where they deliver real ROI
• Test AI/LLM features: evals, prompt regression suites, hallucination and safety checks, and reliability metrics for non-deterministic outputs
• Investigate defects with rigor: clear repro steps, root-cause hypotheses, tight collaboration with developers
• Champion shift-left testing, risk-based prioritization, test data management, and observability for tests

Qualifications

Must-Have:

• 5+ years of QA experience with strong manual testing foundation: test design, exploratory testing, bug advocacy, sharp eye for edge cases and user impact
• Selenium WebDriver and/or Playwright for Java; Page Object / screenplay-style frameworks, stabilizing flaky suites
• RestAssured for API testing (contract, integration, negative-path); OpenAPI/Swagger fluency
• Hands-on GraphQL: queries, mutations, schema changes, partial responses, error shapes, reusable test utilities
• Strong Java (11+), Maven or Gradle, JUnit/TestNG, Git
• Command line comfort: bash/zsh and/or PowerShell for navigating environments, running tests, and writing automation glue
• Log-digging: grep/jq/awk, Kibana, Splunk, Datadog, CloudWatch — isolating root causes from messy traces
• Basic Docker and Kubernetes: running containers locally, exec-ing into pods, kubectl logs/describe, debugging tests in containerized environments
• CI/CD: GitHub Actions, Jenkins, GitLab CI, CircleCI — integrating tests and triaging failures at scale
• Hands-on AI coding assistants (Claude Code, Cursor, Copilot) as part of daily delivery rhythm
• Excellent written communication: bug reports, test plans, explaining quality risks to non-technical stakeholders

Nice-to-Have:

• Experience evaluating or building eval/regression suites for LLM-powered features (prompt versioning,
• golden datasets, LLM-as-judge, hallucination/jailbreak tests).
• GraphQL tooling depth: Apollo, GraphQL Inspector, schema diffing, or fuzzing for breaking changes.
• Performance testing (JMeter, k6, Gatling) and basic load/scalability awareness.
• Security testing fundamentals (OWASP Top 10).
• Visual regression tooling (Percy, Applitools, Playwright snapshots).
• Familiarity with cloud browser grids (BrowserStack, Sauce Labs, LambdaTest) and broader Kubernetes
• operations (Helm, kustomize, service meshes).
• ISTQB or equivalent certification.

About Flamingo

Flamingo is building an AI-native platform for MSPs. OpenFrame is one system for running an entire MSP: everything from managing and securing devices to handling tickets and clients, with AI agents woven through the whole platform. Fae handles client-facing support, Mingo works alongside technicians and can take action across the product. It is a large, fast-growing system used daily by technical people.

We are looking for a designer who is exceptional at the craft: turning planned features into thoughtful flows and polished, production-ready interfaces at a high pace. You will work closely with the whole team, shaping direction and priorities together. Your job is to work out the details, make them real, and make them excellent.

What you will do

• Design features across OpenFrame end to end: think through the flow, then bring it to the screen. Tables, detail pages, settings, dashboards, agent interactions.
• Work within and extend our living design system. Consistency across a large product is a core part of the job.
• Bring screens to a truly finished state: every state, every edge case, every empty state and error, checked and ready for handoff.
• Design for a technical audience: MSP admins and technicians who live in device lists, alerts, and logs. Density and clarity matter more than decoration.
• Collaborate directly with engineers in a fast, low-process environment.

What we expect

• 3+ years in UI/UX design, ideally on complex B2B, enterprise, or data-heavy products.
• Portfolio that shows craft: pixel-level attention, strong typography and layout in dense interfaces, consistent component work. We will look at the details.
• Strong Figma skills: components, variants, auto layout, working cleanly inside an existing design system.
• Hands-on experience working with AI tools: prompting, iterating, knowing where AI accelerates the work and where it falls short. AI is part of our product and our daily workflow, so this is not optional.
• Speed with quality. You deliver finished screens, not drafts that need another pass.
• Self-management: you plan your own work, flag blockers early, and deliver without being chased.
• English sufficient for working with UI copy and specs.

Nice to have

• Experience with admin panels, monitoring tools, or developer-facing products.
• Interest in growing toward product design: understanding flows, domain logic, and why screens are the way they are. There is room to grow into that here.
• Frontend awareness (what is cheap vs expensive to build).

About the test task
We include a small test task. Using AI tools is welcome, we use them ourselves. What we evaluate is the final result: craft, attention to detail, and whether the work is brought to a genuinely finished state. AI can help you get there faster, but the quality bar stays the same.

Why Join Flamingo?

• Craft-first role: Your screens ship. Fast feedback loop, direct impact on a product used daily by technical teams.
• Innovative Tech Stack: Work with cutting-edge open-source technologies in AI, automation, and security.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.

Role Overview
This role focuses on building a SaaS product with additional support for local installations. You'll own the design and implementation of cloud infrastructure from the early stages, setting the foundation for how the platform operates.

The product is fully Kubernetes-based - a multi-tenant fleet of private GKE clusters on GCP, provisioned with Terraform and reconciled by ArgoCD from our own Helm charts. Strong expertise in cluster management, automation, and container orchestration is essential. The system is high-load, so reliability is the top priority. You'll also contribute to our open-source product.

Key Responsibilities
Design and maintain GCP infrastructure (compute, storage, networking, IAM, KMS, managed databases) using Terraform

• Operate a growing fleet of private GKE clusters: administration, upgrades, capacity planning, Gateway API, custom Helm charts
• Build CI/CD pipelines with GitHub Actions and ArgoCD following GitOps practices, including ephemeral per-PR environments
• Implement monitoring, logging, and alerting with Mimir, Loki, Alloy, and Grafana - dashboards and alerts as code
• Design and secure cloud networking: VPC architecture, load balancers, Cloud Armor WAF, TLS automation, NetworkPolicies
• Operate the stateful layer with engineering teams: MongoDB, Kafka, Cassandra, Pinot, Redis, NATS, Cloud SQL - sizing, upgrades, backups, disaster recovery

• Collaborate with engineering teams on deployment strategies and reliability
   

  Qualifications
  Must-Have

• Kubernetes - strong expertise in cluster administration, workload orchestration, and GitOps practices; ability to write and maintain custom Helm Charts
• Terraform - proven experience managing infrastructure as code and operating multi-environment estates on GCP
• Cloud platforms - solid knowledge of GCP core services, including compute, storage, and managed databases; equivalent AWS depth is fine if you are ready to work GCP-first
• Cloud networking - experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity
• Infrastructure security - practical experience with IAM, workload identity, secrets management, TLS, encryption (KMS/CMEK), and policy enforcement in production environments
• CI/CD workflows - experience building and maintaining pipelines with GitHub Actions/GitLab CI and ArgoCD/FluxCD
• Databases and messaging - operational knowledge of MongoDB, MySQL/Postgres, Redis, and streaming platforms such as Kafka; comfortable running stateful workloads on Kubernetes
• Observability - hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing
  
  Nice-to-Have
• Multi-tenant SaaS platform experience: namespace- or cluster-per-tenant models and tenant provisioning automation
• OpenTelemetry and distributed tracing, SLOs, and incident response practice
• Supply-chain and compliance work: cosign/SBOMs, image scanning, SOC 2 or ISO 27001
• Experience with serverless architectures and event-driven systems, such as AWS Lambda, Cloud Functions, or Pub/Sub triggers
• Experience contributing to or maintaining open-source products
• Relevant certifications would be a plus

Why Join Flamingo?

• High-impact role: Make a direct impact on the stability and scalability of our AI-driven platform.
• Innovative Tech Stack: Work with cutting-edge AI, security, and cloud technologies.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.