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Mecka AI is building the data infrastructure layer for robotics and embodied AI. The company designs and operates global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
You will join the Platform Engineering & Infrastructure team as a senior individual contributor, taking the lead on key projects and working closely with ML, computer vision, and data teams who depend on the infrastructure. Every video frame captured, labeled, and delivered to customers moves through AWS infrastructure this team builds and runs.
Key responsibilities:
- Design, build, and operate core parts of Mecka's AWS environment (networking, storage, and IAM) alongside the infrastructure team
- Build and maintain network infrastructure: VPCs, subnets, routing, Transit Gateway, VPN/Direct Connect, DNS, and load balancing to enable reliable data movement between capture sites, internal teams, and customers
- Implement and tune the storage layer for petabyte-scale video and sensor data on S3 and related services, including bucket design, lifecycle and tiering, replication, and access patterns optimized for throughput and retrieval cost
- Improve the speed and predictability of data transfer from ingestion at capture sites to large dataset deliveries to customers
- Manage infrastructure as code (Terraform or equivalent) through CI/CD, keeping changes reviewable, repeatable, and accessible to other engineers
- Contribute to infrastructure reliability through monitoring, alerting, on-call rotation, incident response, and postmortems that drive real improvements
- Identify and deliver cost savings in storage and data transfer, contribute to design reviews, and mentor other engineers on the team
Requirements:
Must-have:
- 6+ years in infrastructure, platform, or cloud engineering, including building and operating production AWS environments at meaningful scale
- Deep AWS networking expertise: VPC design, routing, Transit Gateway or peering, VPN/Direct Connect, DNS (Route 53), load balancing, and troubleshooting connectivity across environments
- Hands-on experience designing and operating large-scale storage on AWS (S3 at scale, lifecycle policies, storage classes, replication, performance tuning)
- Strong infrastructure-as-code practice (Terraform preferred) and CI/CD ownership
- Solid IAM and security fundamentals: least-privilege access, encryption, network segmentation, and audit readiness
- Proficiency in at least one language for automation and tooling (Python, Go, or similar)
Nice-to-have:
- Experience moving large volumes of data: high-throughput transfer, multi-region replication, or bulk ingest/export (e.g., DataSync, Snowball, S3 Transfer Acceleration)
- Experience with hybrid or edge networking, connecting physical sites or hardware to the cloud
- Kubernetes/EKS or container platform experience
- Familiarity with GPU compute or data processing workloads on AWS
- Experience with compliance requirements for customer data (data residency, PII handling, SOC 2)
- AWS certifications (Advanced Networking, Solutions Architect Professional) as a supporting signal
