Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Senior SRE, Managed Gateways
Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.
- Remote from
- USA
- Salary
- USD 165k–185k / yr
- Department
- DevOps & Infrastructure
- Employment
- Full Time
- Experience
- Senior
- Published
- Apply before
- 17 Nov 2026
- Listing views
- 34
- Application actions
- 2
Make your next move.
Prepare your resume, explore your fit, and draft a cover letter for this opportunity.
The role, at a glance.
Kong is seeking a Senior Site Reliability Engineer to own reliability and enterprise implementation outcomes for its Managed Gateways SaaS platform. The role combines hands-on cloud infrastructure engineering across AWS, GCP, and Azure with leadership, mentoring, incident management, and customer-facing technical ownership. The engineer will build resilient Kubernetes-based systems, improve automation and deployment workflows, and manage observability, SLIs, and SLOs. Success requires deep distributed-systems expertise, strong Golang and infrastructure-as-code skills, and the ability to guide complex enterprise deployments from kickoff through production. The position operates in a fast-moving, globally distributed environment and supports a primarily North American customer base.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I would begin by mapping user-critical journeys such as request availability, latency, error rate, control-plane operations, and deployment success. I would define measurable indicators from gateway, infrastructure, and customer-impact telemetry, set targets using historical performance and business requirements, then use error budgets to prioritize reliability work and release decisions.
I would first confirm customer impact and scope through dashboards, traces, logs, and SLO burn alerts. I would segment the issue by cloud, region, cluster, gateway version, route, and dependency, then inspect saturation, network behavior, DNS, autoscaling, pod health, and downstream service latency. After mitigation, I would lead a blameless review and convert findings into monitoring, capacity, or architecture improvements.
I would identify common architecture patterns and separate configurable customer-specific elements from reusable platform primitives. I would codify validated patterns as Terraform modules, Helm charts, deployment templates, runbooks, and preflight checks, while maintaining an escalation path for exceptions. Feedback from implementations would continuously improve the product and implementation playbooks.
I prioritize repetitive, error-prone activities with measurable operational cost, such as provisioning, certificate rotation, incident diagnostics, and deployment validation. I automate these tasks through infrastructure as code, CI/CD guardrails, self-service workflows, and health checks, then measure reductions in manual effort, lead time, and incident recurrence.
I would provide a clear, timely status covering impact, affected services, mitigation actions, current risk, and the next update time without speculating on root cause. Internally, I would coordinate technical owners and preserve detailed evidence; externally, I would use plain language focused on customer impact and recovery. Following resolution, I would share an appropriately scoped post-incident summary and corrective-action plan.
About this role.
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.
Senior SRE, Managed Gateways
About the Role:
Kong’s Managed Gateways is the fastest-growing product in the Kong portfolio, a SaaS offering with ARR growing multifold. As a Senior Site Reliability Engineer focused on Managed Gateways, you’ll be instrumental in architecting and maintaining the resilient, scalable infrastructure that powers Kong’s mission-critical managed services — and you’ll be the technical face of that product for the enterprise customers who depend on it, directly ensuring the reliability and performance that lets them build the next generation of connected applications at global scale.
What You’ll Do:
Cloud Gateways is a complex, multi-cloud problem — supported across AWS, GCP, and Azure — and our enterprise customers run large, often unique topologies. This role carries two equally deep engineering mandates: owning production reliability for the platform, and acting as the senior technical authority who takes an enterprise customer from kickoff to a fully successful, live implementation.
Platform & Reliability Engineering
Lead, mentor, and inspire a high-performing team of Site Reliability Engineers dedicated to Kong’s Managed Gateway offerings.
Architect and implement robust, scalable, and fault-tolerant cloud-native systems using technologies like Kubernetes, Golang, and major cloud providers.
Own the end-to-end operational lifecycle, from proactive monitoring and alerting to incident response and blameless post-mortems, ensuring continuous service improvement.
Drive a culture of developer delight by implementing automation, self-service tooling, and streamlined workflows for deploying and managing API gateways.
Define, track, and report on key SLOs and SLIs to ensure optimal performance and reliability of Managed Gateways.
Champion technical debt prevention and advocate for architectural best practices that enhance system resilience and reduce operational toil.
Collaborate cross-functionally with Product, engineering, and Customer Success to influence roadmap decisions and ensure operational readiness for new features.
Enterprise Implementation Engineering
Partner directly with enterprise customers — working alongside Product leadership, Professional Services, and Customer Success — to drive end-to-end onboarding and implementation of Cloud Gateways, and productize recurring implementation patterns into repeatable playbooks and platform capabilities.
Bring deep, cross-cloud breadth (AWS, GCP, Azure) to handle unique customer topologies and turn complex setups into successful, production-ready deployments.
Serve as the technical owner of the customer relationship through implementation, primarily supporting our North America customer base, and be the escalation point Customer Success leans on for technically complex accounts.
Feed real-world implementation patterns and customer constraints back to Product to further contribute the roadmap.
What You’ll Bring:
The Toolkit
Extensive experience as a Site Reliability Engineer, focusing on highly available and distributed systems.
Deep expertise with Kubernetes and cloud-native architectures, preferably across multiple public cloud providers (AWS, GCP, Azure).
Strong proficiency in Golang or similar modern programming languages for automation and tool development.
Proven track record in building and maintaining CI/CD pipelines and infrastructure as code (Terraform, Ansible).
In-depth knowledge of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack, Datadog).
Experience with managed services, API gateways, or similar network infrastructure is highly desirable.
The Kong DNA
You take immense ownership of your systems, treating reliability as a first-class feature.
You operate with a sense of urgency, especially in critical situations, and drive quick, effective resolutions.
You thrive in a collaborative environment, actively sharing knowledge and elevating the entire team.
Kong moves fast, and our team’s spread across continents and time zones — plans shift mid-flight, and things don’t always line up neatly. You don’t need everything settled to do good work. You bring your own calm to the noise, figure things out as you go, and help the people around you do the same.
Bonus Points:
Experience with Service Mesh technologies (e.g., Istio, Linkerd).
Familiarity with database administration for high-throughput systems (PostgreSQL, Cassandra).
Contributions to open-source SRE tools or projects.
Relevant cloud certifications (e.g., AWS Certified DevOps Engineer, CKA).
#LI-KC1
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.
This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.
Apply now.
Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information.
Continue on the employer website
Protect your personal information and never pay to secure an interview or job offer. .
