DevOps Engineer - AWS, Kubernetes, Kafka

Taraki; Lahore; Remote; PKR 2,000,000 - 2,750,000; Full time

Job summary

A US-based tech startup is seeking a DevOps Engineer to lead backend migration to Kubernetes. This fully remote role requires expertise in Python, AWS, and Kafka, with competitive monthly compensation between $3,000 to $4,500 USD. The ideal candidate will work during US EST hours, contributing to scalable event-driven systems in a fast-paced environment.

Benefits

Competitive compensation

Work directly with the founder and CTO

Opportunity to lead impactful projects

Qualifications

• 3+ years of Python backend development experience.
• Proven experience deploying and migrating to Kubernetes.
• Comfortable working in a remote-first environment.

Responsibilities

• Lead backend services migration to Kubernetes.
• Develop and maintain backend systems using Python.
• Monitor and troubleshoot Kubernetes cluster performance.

Skills

Python backend development

Kubernetes deployment and migration

AWS services familiarity

Kafka or similar messaging systems

Excellent communication skills

Proactive problem-solving

Tools

Terraform

Docker

CI/CD best practices

Job description

About the job DevOps Engineer - AWS, Kubernetes, Kafka

The role is fully remote with the expectation to be available throughout US EST hours (6pm - 2am Pakistan time).

About the Role

We are working with a full-funded US startup that is hiring a DevOpsEngineer with strong Kubernetes experience to lead the migration of backend services to a containerized microservices architecture. You'll architect and implement scalable, event-driven systems that power real-time fleet control and analytics, while integrating tightly with their existing cloud infrastructure.

About the Company

The Company delivers a unified, brand-agnostic platform for deploying, controlling, and monitoring mobile robot fleets in manufacturing and logistics environments. They offer real-time performance insights and mission automation via a single dashboard, helping customers scale robotics operations efficiently and with zero downtime

Key Responsibilities

• Lead the migration of backend services (Python AWS stack) to Kubernetes (EKS/GKE/AKS).
• Develop and maintain robust backend systems using Python and AWS services.
• Integrate with Kafka or similar messaging systems for real-time data pipelines.
• Design scalable, event-driven architectures that support real-time robot telemetry and control.
• Collaborate with DevOps, frontend, and product teams to ensure smooth deployment and operations.
• Build and optimize CI/CD pipelines and IaC configurations.
• Monitor and troubleshoot Kubernetes cluster performance and stability.

Required Skills

• Python backend development (3+ years recommended)
• Trusted experience deploying and migrating to Kubernetes
• Familiarity with AWS (EKS, ECS, Lambda, RDS, etc.)
• Experience with Kafka or similar message queues
• Excellent communication anddaily interactions with US-based CTO, engineers
• Must be available for ~6 hrs of EST overlap each day (9am - 5pm EST)
• Remote-first mentality with proactive problem-solving

Preferred Qualifications

• Infrastructure-as-Code (Terraform, Helm, CloudFormation) for automated deployments
• Docker & CI/CD best practices for container workflows
• Experience in robotics, industrial automation, or warehouse/logistics domains
• Comfortable in agile, early-stage startup environments

Why Join?

• Own and lead the cloud infrastructure migration to Kubernetes for a high-impact AI-driven logistics platform
• Work hands-on with Python and AWS, building backend systems that power real-time operational intelligence
• Partner directly with the founder and CTO in a fast-moving, technically ambitious environment
• Shape backend and infrastructure decisions in a startup where your technical leadership will have visible product impact
• Gain exposure to cutting-edge event-driven systems (Kafka) and scalable architecture patterns
• Fully remote position but requires US EST availability (6pm - 2am Pakistan time)
• Competitive monthly compensation of $3,000 to $4,500 USD based on experience