Platform Engineer - WriftAI
Karachi, PK (On-site)
About
WriftAI is building the infrastructure layer that makes AI easy to deploy and scale in production. We help teams ship AI-powered products faster by removing the operational complexity behind running models at scale — enabling customers to focus on building, not infrastructure. Our platform provides simple APIs and SDKs that handle model deployment, scaling, and performance optimization behind the scenes, making production-grade AI accessible to engineering teams of all sizes.
The Role
We’re looking for a Platform Engineer to help power the backbone of WriftAI’s infrastructure — the systems that bootstrap projects, manage compute, handle autoscaling, orchestrate workloads, and keep everything running smoothly for developers relying on our platform.
As a Platform Engineer, you will work on critical infrastructure components that enable reliability, scalability, and performance across the WriftAI platform, ensuring we can support everything from early adopters to large-scale enterprise users.
What You'll Do
- Design, build, and operate foundational platform components for provisioning, scaling, and managing compute resources.
- Implement systems for autoscaling, load balancing, and fault tolerance in production.
- Improve and maintain infrastructure for deployment pipelines, orchestration, and monitoring.
- Collaborate with Engineering, DevOps, and SRE to ensure reliability, performance, and observability.
- Participate in architecture decisions that impact core platform capabilities.
- Debug distributed systems and provide long-term fixes for reliability and performance issues.
Minimum Requirements
- Strong software engineering experience (3+ years) with backend or distributed systems.
- Experience building and operating systems on at least one major cloud platform (e.g., AWS, GCP, or Azure).
- Familiarity with workload scheduling, infrastructure automation, or similar platform technologies.
- Solid experience in at least one language commonly used for backend or platform development (e.g., Go, Rust, Python, or similar).
- Understanding of networking, observability, and performance optimization.
- Comfortable working independently and collaboratively in a fast-paced startup environment.
Nice to Have
- Experience working on AI or high-performance compute workloads (e.g., GPU scheduling, model serving, or low-latency inference systems).
- Familiarity with container orchestration, infrastructure automation, or scaling systems (e.g., Kubernetes, Amazon ECS, Terraform, autoscaling platforms, edge or distributed compute systems).
- Familiarity with modern observability tooling (logs, metrics, tracing).
Why WriftAI?
- Solve Real AI Challenges: Work on infrastructure that removes the operational complexity of deploying and scaling AI in production.
- Build with Innovation: Be part of a team creating tooling that empowers developers to run AI workloads anywhere.
- High Impact: Contribute meaningfully at an early but scaling company where individual ownership matters.
- Collaborative Culture: Work alongside passionate engineers, product builders, and go-to-market professionals.
- Competitive Compensation: Market-competitive compensation aligned with experience.
Sych Inc. is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.