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Urgent! DevOps Engineer - AWS, Kubernetes, Kafka Job | Taraki
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
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Unlock Your DevOps Engineer Potential: Insight & Career Growth Guide
Real-time DevOps Engineer Jobs Trends in Multan, Pakistan (Graphical Representation)
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Great news! Taraki is currently hiring and seeking a DevOps Engineer AWS, Kubernetes, Kafka to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Taraki adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a DevOps Engineer AWS, Kubernetes, Kafka Jobs Pakistan varies, but the pay scale is rated "Standard" in Multan. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for DevOps Engineer AWS, Kubernetes, Kafka typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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