3 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Design resilient ingest systems from capture rigs to cloud storage, including recovery from partial uploads, unreliable networks, and hardware failures.
- Build transcoding, normalization, and time-synchronization pipelines for multi-camera video, telemetry, and sensor streams.
- Automate media quality checks for issues such as blur, exposure failures, and dropped frames.
- Develop dataset versioning, lineage, indexing, packaging, integrity verification, and access-control systems.
- Own processing and delivery costs through storage tiering, lifecycle management, egress optimization, encoding efficiency, and GPU utilization.
- Improve monitoring, logging, tracing, throughput, failure metrics, latency, reliability, and incident recovery.
- Troubleshoot issues across media tools, storage, networking, and application code; participate in on-call operations.
- Lead complex initiatives from problem definition through design, implementation, and production operation.
- Participate in code reviews and improve technical quality through practical feedback.
Requirements
- At least 5 years of experience building and operating production video or media-processing systems at scale.
- Production experience with FFmpeg, GStreamer, or an equivalent media framework, including building and debugging pipelines under load.
- Fluency with H.264, HEVC, AV1, MP4, and fMP4 codecs and containers.
- Strong understanding of distributed systems, cloud infrastructure, object storage, and observability.
- Strong programming and problem-solving skills.
- Experience with durable workflow orchestration such as Temporal, Conductor, Step Functions, or Airflow.
- Experience designing cost-efficient architectures for large media or data workloads, including storage tiering, egress, capacity planning, and GPU utilization.
- Experience with Infrastructure as Code, CI/CD, and production operations.
- Preferred experience with multi-camera or time-synchronized capture systems and clock-drift or alignment issues.
- Preferred familiarity with MCAP, rosbag, ROS, ROS2, Parquet, or similar robotics and sensor-data formats.
- Preferred familiarity with machine learning on video or images, including classification, detection, tracking, segmentation, re-identification, super-resolution, quality scoring, auto-annotation, or redaction.
- Preferred experience with VMAF, encoding-ladder design, HLS, DASH, CMAF, DRM integration, and annotation or review tooling.
Benefits
- Free snacks, health insurance, personal insurance, flexible hours, maternity/paternity leave, and broadband reimbursement.
- The role is based in an in-person work environment five days per week.
Tech Stack
Apache Airflow
Categories
BackendData Engineering
About Instawork
Instawork builds an online marketplace that matches businesses with vetted hourly workers across hospitality, warehousing, manufacturing, and light industrial sectors. Companies post shifts and pay per booking, while Instawork handles sourcing, vetting, scheduling, and payments through its mobile apps. Founded in 2016 and headquartered in San Francisco, it is a privately held company operating across major metro areas.