Containerization

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.

 

DevOps System Administrator (AI/ML Infrastructure) - TS/SCI with CI Poly – Scottsdale, AZ

DevOps System Administrator (AI/ML Infrastructure)

📍 Location: Scottsdale, Arizona
🏢 Work Environment: 100% Onsite
💼 Employment Type: Full-Time
🛡️ Security Clearance Required: Active DoD TS/SCI with Polygraph
✈️ Travel: Occasional
🚫 Visa Sponsorship: Not Available

💰 Compensation & Benefits

  • Base Salary: $126,000 – $150,000

  • Full Benefits Package

  • Relocation Assistance Available

  • No commission or overtime eligibility

🚀 Position Overview

A leading defense technology organization is seeking an experienced DevOps System Administrator to support and optimize advanced Artificial Intelligence and Machine Learning (AI/ML) infrastructure within a highly secure classified environment.

This role will focus on building, maintaining, and automating enterprise-scale infrastructure supporting AI model development, training, testing, and deployment. The successful candidate will work closely with Data Scientists, ML Engineers, and Infrastructure Teams to ensure scalable, secure, and high-performing environments.

This is an excellent opportunity to work on mission-critical technologies supporting national security initiatives while leveraging cutting-edge AI, cloud-native, and automation technologies.

🔧 Key Responsibilities

AI/ML Infrastructure Management

  • Design, implement, and maintain scalable infrastructure for AI/ML model training and inference

  • Manage GPU resources and high-performance computing environments

  • Support machine learning development and deployment workflows

  • Collaborate with Data Scientists and ML Engineers to streamline model development through production

DevOps & Automation

  • Develop and manage CI/CD pipelines for AI applications and ML models

  • Automate:

    • Infrastructure provisioning

    • Configuration management

    • Deployment processes

  • Utilize Infrastructure as Code (IaC) tools including:

    • Terraform

    • Ansible

Containerization & Orchestration

  • Deploy and manage containerized environments using:

    • Docker

    • Kubernetes

  • Scale and optimize AI/ML services within secure enterprise environments

Linux & Systems Administration

  • Administer Linux-based operating systems and virtualized server environments

  • Perform:

    • Server configuration

    • Performance tuning

    • Patch management

    • Troubleshooting

    • Monitoring

  • Support both physical and virtual infrastructure environments

Monitoring & Operational Support

  • Implement monitoring, logging, and alerting solutions

  • Analyze system alerts and perform root-cause investigations

  • Create scripts to automate repetitive administrative tasks

  • Troubleshoot networking, storage, and server-related issues

Technical Leadership

  • Serve as a subject matter expert for server and infrastructure operations

  • Mentor team members and provide technical guidance

  • Support system design, analysis, and continuous improvement initiatives

  • Identify opportunities to leverage AI and automation for operational efficiency

✅ Required Qualifications

Education

  • Bachelor’s Degree in:

    • Computer Science

    • Related technical field

    • OR equivalent experience

OR

  • Master’s Degree with 6+ years of relevant experience

Experience

  • 7–10 years of relevant systems administration, infrastructure, or DevOps experience

  • Strong enterprise server administration background

  • Experience supporting large-scale production environments

  • Advanced Linux administration skills

  • Experience supporting virtualized infrastructure environments

🔒 Clearance Requirements (Mandatory)

✔ Active DoD TS/SCI with Polygraph required at time of hire
✔ U.S. Citizenship required
✔ Clearance must be active and current
❌ No sponsorship available
❌ No clearance reinstatement candidates

🛠️ Required Technical Skills

✔ Linux Administration
✔ Docker
✔ Kubernetes
✔ AI/ML Infrastructure Support
✔ CI/CD Pipeline Management
✔ Infrastructure as Code (Terraform, Ansible)
✔ Virtualization Technologies
✔ Enterprise Server Support
✔ Networking & Storage Troubleshooting
✔ Automation & Scripting

⭐ Preferred Qualifications

  • Experience supporting AI/ML development environments

  • GPU resource management experience

  • High-performance computing environments

  • Cloud-native infrastructure experience

  • Container orchestration at enterprise scale

  • Experience within classified or defense environments

🎯 Ideal Candidate

The ideal candidate is a highly technical infrastructure professional with deep Linux expertise, strong containerization skills, and experience supporting AI/ML environments in secure enterprise settings.

They will bring:

  • Active TS/SCI Poly clearance

  • Strong Docker and Kubernetes experience

  • Advanced troubleshooting capabilities

  • Enterprise systems administration expertise

  • Automation and DevOps mindset

  • Ability to work independently and collaboratively

  • Passion for emerging technologies and AI-driven innovation

📋 Screening Questions

  1. Do you have hands-on Linux administration experience?

  2. Do you have experience with Docker, Kubernetes, or similar container platforms?

  3. Are you comfortable working onsite full-time in Scottsdale, AZ?

  4. Do you currently hold an active DoD TS/SCI with Polygraph clearance?

📌 Candidate Snapshot

Requirement

Details

Experience

7–10 Years

Seniority

Mid-Senior

Industry

Defense / Technology

Education

Bachelor’s Degree or Equivalent

Clearance

Active TS/SCI Poly Required

Work Model

100% Onsite

Travel

Occasional

Relocation

Available

🌟 Why Join

Award-Winning Culture

  • Recognized as a Gallup Exceptional Workplace

  • Strong employee engagement and retention

  • Average employee tenure of 12 years

Work-Life Balance

  • Flexible 9/80 schedule

  • Every other Friday off

  • Generous PTO and parental leave

Outstanding Benefits

  • 401(k) with company match and immediate vesting

  • Comprehensive medical, dental, and vision coverage

  • Tuition assistance and professional development support

Meaningful Work

  • Support cutting-edge technologies including:

    • Artificial Intelligence

    • Cloud Native Platforms

    • Advanced Cyber Systems

    • National Security Programs

Collaborative Environment

  • Strong engineering culture

  • Low micromanagement

  • High autonomy and ownership

  • Opportunities to innovate and contribute to mission-critical solutions

This role offers the opportunity to combine advanced DevOps expertise with next-generation AI technologies while supporting some of the most important missions in the defense and intelligence community.

 

Data Engineer | Azure, Databricks, Python, SQL, Spark | Hybrid – Netherlands (€3,500–€5,000/month)

Data Engineer

📍 Location: Eindhoven area or Randstad, Netherlands (Hybrid – 3 office days / 2 home days)
💼 Employment Type: Full-time
💵 Salary: €3,500 – €5,000 per month (€45,360 – €64,800 annually)
🎯 Experience Level: Mid-level | 2–3 years’ experience

About the Role

Do you love working with data — from digging into sources and writing clean ingestion scripts to ensuring a seamless flow into a data lake? As a Data Engineer, you’ll design and optimize data pipelines that transform raw information into reliable, high-quality datasets for enterprise clients.

You’ll work with state-of-the-art technologies in the cloud (Azure, Databricks, Fabric) to build solutions that deliver business-critical value. In this role, data quality, stability, and monitoring are key — because the pipelines you create will be used in production environments.

Key Responsibilities

  • Develop data connectors and processing solutions using Python, SQL, and Spark.

  • Define validation tests within pipelines to guarantee data integrity.

  • Implement monitoring and alerting systems for early issue detection.

  • Take the lead in troubleshooting incidents to minimize user impact.

  • Collaborate with end users to validate and continuously improve solutions.

  • Work within an agile DevOps team to build, deploy, and optimize pipelines.

Requirements

  • 🎓 Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

  • 2–3 years of relevant experience in data ingestion and processing.

  • Strong knowledge of SQL, Python, and Spark.

  • Familiarity with container environments (e.g., Kubernetes).

  • Experience with Azure Data Factory, Databricks, or Fabric is a strong plus.

  • Experience with data model management and dashboarding (e.g., PowerBI) preferred.

  • Team player with strong communication skills in Dutch and English.

  • Familiarity with enterprise data platforms and data lakes is ideal.

What We Offer

  • 💶 Salary: €3,500 – €5,000 per month

  • 🌴 26 vacation days

  • 🚗 Lease car or mobility budget (€600)

  • 💻 Laptop & mobile phone

  • 💸 €115 monthly cost allowance

  • 🏦 50% employer contribution for health insurance

  • 📈 60% employer contribution for pension scheme

  • 🎯 Performance-based bonus

  • 📚 Training via in-house Academy (hard & soft skills)

  • 🏋️ Free use of on-site gym

  • 🌍 Hybrid work model (3 days in office, 2 days at home)

  • 🤝 Start with a 12-month contract, with option to move to indefinite after evaluation

Ideal Candidate

You are a hands-on data engineer who enjoys data wrangling and building robust pipelines. You take pride in seeing your code run smoothly in production and know how to troubleshoot quickly when issues arise. With strong technical skills in SQL, Python, and Spark, plus familiarity with cloud platforms like Azure, you’re ready to contribute to impactful enterprise projects.

👉 Ready to make data flow seamlessly and create business value? Apply now to join a passionate, innovation-driven team.

 

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