[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![Kong Inc. logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/03/f43352b801f4c6854ba70c5f70cec7cd.jpeg)](https://jobicy.com/company/kong-inc.md)Remote opportunity at[Kong Inc.](https://jobicy.com/company/kong-inc.md) # Forward Deployed Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/kong-inc.md)Share17 Sep 2026Published28Listing views2Application actions17 Oct 2026Apply before Opportunity details ## About this role. AI SummaryKong is seeking a senior, customer-facing Forward Deployed Engineer to implement and scale API and AI connectivity solutions for enterprise and public-sector customers. The role combines hands-on software engineering, platform architecture, migration delivery, automation, and technical consulting across cloud, hybrid, and on-premise environments. Responsibilities include deploying API and AI gateways, creating CI/CD and Kubernetes tooling, migrating legacy API-management platforms, and producing reusable delivery assets. Candidates need 8+ years of relevant engineering or professional-services experience, strong cloud-native and API expertise, and the ability to communicate with both engineering teams and executives. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a highly senior role requiring deep expertise across APIs, distributed systems, Kubernetes, cloud infrastructure, automation, and production software delivery. It also demands independent problem-solving in ambiguous customer environments while managing high-stakes technical and executive stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$233,155US market range$180k–$285k0$314k AI insightThe disclosed yearly base compensation range is USD 192,010 to USD 274,300, with a midpoint of USD 233,155. This is competitive for a senior US-based forward deployed, solutions, or platform engineer with extensive customer-facing cloud-native and API infrastructure experience. The estimated US market range for comparable roles is USD 180,000 to USD 285,000 annually, varying by location, security-clearance requirements, technical depth, and variable/equity components. ## Core skills Skills and capabilities most closely associated with this opportunity. [API gateways](https://jobicy.com/jobs?search_keywords=API%20gateways.md)[API management](https://jobicy.com/jobs?search_keywords=API%20management.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Go](https://jobicy.com/jobs?search_keywords=Go.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[DevOps automation](https://jobicy.com/jobs?search_keywords=DevOps%20automation.md) Sample interview questionsDescribe a complex API-management or platform migration you led. How did you reduce risk and validate success?I begin with discovery of existing traffic patterns, policies, dependencies, security controls, and service ownership. I create a phased migration plan with automated configuration conversion where possible, establish nonfunctional success criteria such as latency and error-rate thresholds, and use parallel testing or canary releases before cutover. After migration, I monitor production telemetry and document reusable patterns for subsequent teams. How would you design a Kubernetes-based deployment model for an API gateway serving multiple enterprise teams? I would use a declarative, GitOps-driven model with environment-specific configuration overlays, Helm or Kustomize packaging, policy controls, and automated validation in CI. The platform would include secure secret management, namespace and RBAC boundaries, observability, autoscaling, and a tested rollback process. I would also define self-service templates and governance guardrails so application teams can move quickly without bypassing standards. Tell us about an automation framework you built that improved a customer or engineering team's delivery process. I identify repetitive, error-prone steps and turn them into versioned, testable automation with clear inputs, outputs, and documentation. For example, I would build tooling to generate gateway configuration, validate policies, deploy through CI/CD, and run post-deployment smoke tests. I measure impact through reduced deployment time, fewer manual changes, improved consistency, and faster onboarding. How do you handle ambiguous technical requirements while working directly with a customer? I clarify the desired business outcome, technical constraints, stakeholders, and measurable definition of done before proposing options. I communicate assumptions explicitly, deliver a small proof of value when uncertainty is high, and use findings to refine the implementation plan. This approach keeps the customer engaged while allowing technical decisions to progress without waiting for perfect information. How would you communicate a critical production issue to both engineering teams and executive stakeholders? For engineering teams, I provide the impact, timeline, current hypothesis, mitigation steps, owners, and next diagnostic actions. For executives, I translate the issue into business impact, customer risk, recovery status, and expected next update without unnecessary implementation detail. In both cases, I maintain a consistent source of truth and conduct a blameless post-incident review with concrete prevention actions. Are you ready to unlock intelligence? If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box – we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. About the Role: Join the global leader in API and AI governance in the era of Artificial Intelligence! For this role, we are looking for a US Citizen who can support Government/Public Sector Customers API traffic now outnumbers human traffic online, and a significant portion of that traffic is powered by the Kong platform, the world’s most popular API gateway. As organizations modernize for AI-driven connectivity, Kong is uniquely positioned at the center of enterprise transformation. We are seeking a Forward Deployed Engineer (FDE) to join Kong’s growing Professional Services organization. This is a highly strategic, customer-facing engineering role focused on helping enterprise customers accelerate adoption of Kong’s API and AI Connectivity platform through hands-on implementation, automation, migration tooling, and solution engineering. As an FDE, you will work directly alongside customer engineering teams to solve complex technical challenges, accelerate migrations, build reusable automation, and deliver production-grade solutions in real-world enterprise environments. You will operate at the intersection of software engineering, architecture, platform engineering, and customer delivery. This role is ideal for engineers who enjoy building, coding, solving ambiguous problems, and working directly with customers on mission-critical initiatives involving APIs, AI gateways, service connectivity, modernization, and cloud-native platforms. You will collaborate closely with Solutions Architects, Engagement Managers, Product Engineering, Customer Success, and Product teams to ensure successful customer outcomes while also influencing Kong’s product direction based on field experience. Working at Kong is a unique opportunity to make a massive impact on Fortune 50/500 customers as they modernize mission-critical systems for the AI era. Impact Work directly with some of the world’s largest enterprises to modernize API infrastructure and accelerate AI adoption through Kong’s connectivity platform. Growth Accelerate your technical and professional growth through exposure to cutting-edge cloud-native technologies, distributed systems, AI connectivity, automation frameworks, and large-scale enterprise architectures. Opportunity Be part of a rapidly growing Professional Services organization that is shaping how enterprises adopt APIs, AI gateways, and modern connectivity platforms globally. What You’ll Do: * Partner directly with enterprise customers to design, build, and implement Kong-based solutions across cloud, hybrid, and on-premise environments. * Lead hands-on implementation efforts for API gateways, AI gateways, service mesh, developer portals, and related connectivity technologies. * Build automation frameworks, migration tooling, custom integrations, and reusable accelerators to simplify customer adoption and modernization efforts. * Drive migration initiatives from legacy API management platforms to Kong. * Work closely with customer developers, platform teams, architects, security teams, and executives to solve complex technical and operational challenges. * Develop production-grade code, scripts, plugins, CI/CD integrations, Kubernetes automation, and infrastructure tooling as part of customer engagements. * Collaborate with Kong Product and Engineering teams to influence roadmap priorities based on real-world customer feedback and implementation learnings. * Create reusable best practices, technical assets, reference architectures, documentation, and design patterns to scale delivery excellence across the organization. * Support strategic customer initiatives involving AI connectivity, governance, platform modernization, and cloud-native transformation. What You’ll Bring: Experience * 8+ years in customer-facing engineering, platform engineering, professional services, site reliability engineering, or software engineering roles. * Strong hands-on software engineering and implementation experience. * Experience with API gateways, API management, integrations, or distributed systems platforms. * Strong Kubernetes and cloud-native infrastructure expertise. * Experience building automation frameworks, deployment tooling, CI/CD pipelines, or migration tooling. * Strong proficiency in Linux, networking, cloud infrastructure, and DevOps practices. * Experience with major cloud providers including AWS, Azure, or GCP. * Programming experience in languages such as Python, Go, Java, JavaScript, or Lua. * Experience with Infrastructure-as-Code and automation tooling such as Terraform, Helm, Ansible, or GitOps frameworks. * Prior experience working in API Management, Open Source, Middleware, SaaS, or Infrastructure software companies is highly preferred. Preferred Attributes: * Strong builder mindset with the ability to solve complex technical problems with minimal supervision. * Comfortable operating in ambiguous, fast-moving enterprise environments. * Passion for working directly with customers and delivering measurable business outcomes. * Excellent communication and collaboration skills across technical and executive audiences. * Highly organized with strong prioritization and execution skills. * Passion for innovation, modern infrastructure, APIs, AI, and cloud-native technologies. * Team-oriented with a strong sense of ownership and accountability. #LI-AW1 About Kong: Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit [www.konghq.com](http://www.konghq.com). 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