Monitoring

Senior Platform Engineer – API | Kong, Layer7, Apigee | Atlanta, GA Hybrid

Senior Platform Engineer – API

📍 Location: Atlanta, GA (Hybrid – 3 Days Onsite / 2 Days Remote)
🏢 Industry: Information Technology / Platform Engineering
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: None
💰 Compensation: $105,000 – $160,000 Base Salary
🎯 Experience Level: Mid-Senior (5–7+ Years)

Overview

A global enterprise organization is seeking a Senior Platform Engineer – API to join its Middleware and Platform Engineering team.

This role will focus on designing, implementing, automating, and supporting enterprise API management platforms within a complex, globally distributed environment. The successful candidate will possess deep expertise in API gateways, API lifecycle management, security frameworks, automation, and cloud-native technologies.

As a senior member of the team, you will be expected to work independently on complex initiatives, collaborate with stakeholders across multiple regions, mentor junior engineers, and contribute to the modernization and optimization of critical API platforms.

Key Responsibilities

API Platform Engineering

  • Design, implement, and maintain enterprise API management platforms.

  • Support API gateway architecture and platform modernization initiatives.

  • Develop scalable, secure, and reliable API solutions.

  • Optimize API platform performance, availability, and resiliency.

API Lifecycle Management

  • Manage API design, publishing, versioning, governance, and retirement.

  • Establish and enforce API standards and best practices.

  • Support API onboarding and developer enablement initiatives.

  • Ensure consistency across enterprise API implementations.

Automation & DevOps

  • Automate API deployment, configuration, and operational processes.

  • Integrate API platforms into CI/CD pipelines.

  • Develop automation scripts using Python, Shell, or Ansible.

  • Support infrastructure-as-code and DevOps initiatives.

Security & Compliance

  • Implement API security policies and governance controls.

  • Manage authentication and authorization frameworks.

  • Support secure API design and deployment practices.

  • Ensure compliance with enterprise security standards.

Monitoring & Performance Management

  • Monitor API performance, availability, and usage trends.

  • Analyze metrics and implement performance improvements.

  • Troubleshoot complex platform and integration issues.

  • Support proactive capacity planning and platform optimization.

Collaboration & Leadership

  • Partner with architects, developers, product teams, and business stakeholders.

  • Mentor junior engineers and contribute to technical knowledge sharing.

  • Participate in platform strategy and continuous improvement initiatives.

  • Collaborate with global teams across multiple time zones.

Required Qualifications

Experience

✔ 5+ years of experience in API platform engineering, middleware engineering, or platform operations.

✔ Experience supporting enterprise-scale API management environments.

✔ Experience working within complex, globally distributed organizations.

Must-Have Technical Skills

API Management Platforms

Strong experience with one or more of:

  • Kong

  • Broadcom Layer7

  • Google Apigee

  • Equivalent API Management Platforms

API Gateway Technologies

  • API Gateway Architecture

  • Traffic Management

  • Rate Limiting

  • API Security Policies

  • API Governance

API Lifecycle Management

  • API Design

  • API Publishing

  • API Versioning

  • API Retirement

  • API Governance Frameworks

Authentication & Security

  • OAuth 2.0

  • JWT

  • OpenID Connect (OIDC)

  • API Security Best Practices

Automation & DevOps

Experience with:

  • Python

  • Shell Scripting

  • Ansible

Strong understanding of:

  • CI/CD Pipelines

  • DevOps Methodologies

  • Deployment Automation

  • Infrastructure Automation

Monitoring & Observability

Experience with:

  • Prometheus

  • Grafana

  • API Analytics

  • Performance Monitoring

  • Usage Monitoring

Cloud & Containerization

Exposure to:

  • Docker

  • Kubernetes

  • Cloud-Native API Platforms

  • Containerized Middleware Environments

Preferred Qualifications

  • Experience leading API platform initiatives.

  • Experience supporting global enterprise environments.

  • Strong troubleshooting and root-cause analysis skills.

  • Experience with platform modernization and cloud migration efforts.

  • Familiarity with enterprise integration patterns and middleware ecosystems.

Screening Questions

  1. Do you have professional experience with API management platforms such as Kong, Broadcom Layer7, Google Apigee, or similar technologies?

  2. Do you have experience designing and supporting API gateway architectures?

  3. Have you worked with API traffic management, rate limiting, and API security policies?

  4. Do you have experience managing the full API lifecycle, including design, publishing, versioning, and retirement?

  5. Have you implemented authentication and authorization frameworks such as OAuth 2.0, JWT, or OpenID Connect?

  6. Do you have experience automating API deployments using Python, Shell, or Ansible?

  7. Have you integrated API platforms into CI/CD pipelines and DevOps workflows?

  8. Do you have experience with API monitoring and analytics tools such as Prometheus or Grafana?

  9. Have you worked with Docker and Kubernetes in API or middleware environments?

  10. Are you authorized to work in the United States without current or future visa sponsorship?

Ideal Candidate Profile

The ideal candidate will:

  • Be a senior-level API platform engineer capable of operating independently.

  • Possess strong expertise across API gateways, API management, and security.

  • Be comfortable collaborating with global teams and stakeholders.

  • Demonstrate strong troubleshooting and problem-solving abilities.

  • Have experience automating platform deployments and operational processes.

  • Mentor junior engineers while remaining hands-on technically.

  • Thrive in highly complex enterprise environments.

  • Be flexible with occasional global collaboration outside standard business hours.

Candidate Snapshot

Requirement

Details

Experience

5–7+ Years

API Platforms

Kong, Layer7, Apigee or Equivalent

Security

OAuth 2.0, JWT, OpenID Connect

Automation

Python, Shell, Ansible

DevOps

CI/CD, Deployment Automation

Monitoring

Prometheus, Grafana

Containerization

Docker, Kubernetes

Location

Atlanta, GA

Work Arrangement

Hybrid (3 Days Onsite)

Compensation

$105K – $160K

Visa Sponsorship

Not Available

What Makes Someone Successful in This Role?

  • Deep expertise in enterprise API management platforms.

  • Strong understanding of API gateway architecture and security.

  • Ability to automate deployments and operational processes.

  • Experience working within global, cross-functional teams.

  • Strong troubleshooting and platform optimization capabilities.

  • Ability to balance hands-on engineering with mentoring responsibilities.

  • Excellent communication skills when engaging both technical and non-technical stakeholders.

  • Commitment to continuous improvement, platform reliability, and operational excellence.

 

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Senior / Lead Machine Learning Engineer | Python, PyTorch, AI | Fully Remote | $180,000–$215,000

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Senior / Lead Machine Learning Engineer

🌍 Location: Fully Remote
💼 Employment Type: Full-time
💰 Compensation: $180,000 – $215,000 (base salary, depending on experience)
📊 Benefits: Full package included

About the Role

We’re seeking a Senior/Lead ML Engineer to drive the development of advanced enterprise AI and intelligent data applications. This is a hands-on role that combines machine learning, data engineering, and software development to deliver practical, production-ready solutions with measurable impact.

If you’re excited about tackling complex engineering challenges in high-standard environments, this role offers strong career growth opportunities, including senior technical leadership pathways.

Key Responsibilities

  • Lead platform upgrades to ensure products remain cutting-edge and effective.

  • Design and manage dynamic dashboards using Python SDKs to turn data into actionable insights.

  • Optimize data pipelines and access patterns for performance and scalability.

  • Troubleshoot and resolve runtime and performance challenges.

  • Architect robust, scalable, and user-friendly applications designed for long-term growth.

  • Collaborate closely with Product Managers to improve usability and ensure real-world impact.

What You Won’t Do

❌ Work in silos – this role requires versatility across ML, data systems, and software engineering.
❌ Focus solely on research without real-world implementation.

Tech Stack

  • Languages & Tools: Python (primary), Docker, Git

  • Libraries & Frameworks: pandas, numpy, scikit-learn, PyTorch

  • Systems & Processes: CI/CD pipelines, monitoring tools, testing frameworks

Requirements

✅ 4+ years of professional Python software engineering with experience in production ML deployment (beyond prototyping).
✅ Proven experience with the end-to-end ML lifecycle: model development → deployment → monitoring.
✅ Strong production systems background in rigorous engineering environments (Big Tech or top-tier startups preferred).
✅ Bachelor’s degree in Computer Science from a top 15 university (Ivy League, Stanford, MIT, CMU, etc.).
✅ U.S. Citizenship and ability to obtain a government security clearance.

Preferred Qualifications

  • Experience in defense-related applications.

  • Exposure to multiple programming languages and diverse tech stacks.

Soft Skills

  • Strong written and verbal communication.

  • Pragmatic approach with a focus on delivering incremental value.

  • Collaborative, with the ability to mentor and influence peers.

Candidate Profile – Not a Fit If

🚫 Job hopper (<2 years per role).
🚫 Focused mainly on research/data science without production deployment.
🚫 Strong theoretical ML background but lacking hands-on implementation.
🚫 No experience with CI/CD, monitoring, or scalable architecture.
🚫 Consulting/contract-heavy career history.

Compensation & Benefits

💰 Base Salary: $180,000 – $215,000
📦 Benefits: Comprehensive full package
🛫 Travel: Occasional, interview travel reimbursed
📍 Relocation: Not available

👉 Ready to shape the future of AI-driven enterprise applications? Apply now and step into a role where your engineering expertise drives real-world innovation.

 

Your new job awaits.

Start the process →