Design resilient ingest pipelines from capture rigs to cloud storage, including recovery from partial uploads, unreliable networks, and hardware failures.
Build transcoding, normalization, synchronization, and quality-checking pipelines for multi-camera video, telemetry, and sensor data.
Create dataset versioning, lineage, indexing, packaging, integrity verification, and access-control systems for delivery to robotics laboratories.
Optimize storage tiering, lifecycle management, egress, encoding efficiency, GPU utilization, and cost per captured hour or delivered dataset.
Improve monitoring, logging, tracing, throughput, failure metrics, latency, reliability, and incident recovery across the pipeline.
Troubleshoot issues spanning media tooling, storage, networking, and application code, and participate in production on-call rotation.
Own complex initiatives from problem definition through design, implementation, operation, and performance measurement.
Participate in code reviews and provide practical technical feedback.
Requirements
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, fMP4, and the tradeoffs among codecs and containers.
Strong understanding of distributed systems, cloud infrastructure, object storage, and observability.
Experience with durable workflow orchestration such as Temporal, Conductor, Step Functions, Airflow, or similar tools.
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.
Strong programming and problem-solving skills.
Preferred: experience with multi-camera or time-synchronized capture systems and clock-drift or alignment problems.
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 perceptual quality measurement, VMAF, encoding-ladder design, HLS, DASH, CMAF, DRM integration, or annotation and review tooling.
Benefits
Free snacks.
Health insurance and personal insurance.
Flexible hours.
Maternity and paternity leave.
Broadband reimbursement.
The company states that teams work in person five days a week, with hubs in San Francisco, Bangalore, and Chicago and offices in New York, Phoenix, and Singapore.
... publicly traded company. Today, BitGo serves thousands of institutions, including many of the industry's top brands, financial institutions, exchanges, and platforms, and millions of investors worldwide. For more information, visit . BitGo is looking for a Backend Engineer - E3 to join our team who designs and ships the ...
... publicly traded company. Today, BitGo serves thousands of institutions, including many of the industry's top brands, financial institutions, exchanges, and platforms, and millions of investors worldwide. For more information, visit . BitGo is looking for a Backend Engineer - E3 who will join our Engineering team and help ...
... As a Video Platform Engineer, you'll own the pipeline that turns that raw capture into training-ready data: ingest, transcode, time-synchronization, automate video quality checks, indexing, and delivery to the robotics labs that train on it. This is a hybrid media-engineering and distributed-systems role. You'll make codec ...
Platform Data EngineerPrimary Skills :- Azure Data Factory- Databricks- PySpark- Azure Cloud Services- Data Engineering, Kafka, Infrastructure AutomationRole Summary :We are seeking an experienced Platform Data Engineer to join the Global Cybersecurity Data Acquisition and Engineering team. The role is responsible for designing, ...
... observability (logs, metrics, traces) for platform and AI workloads - Write Python for automation, tooling and platform services - Work with Tech Leads on their platform needs and trade-offs, and steer the platform roadmap - Mentor engineers and review their designs and code Required Experience: - 7–15 years in platform, cloud ...
... improvement for an enterprise Databricks Lakehouse platform on https://jobeax.com/link/bGlnCchIlVM0MSjQ engineer will work closely with the onshore Senior Data Platform Engineer while independently managing assigned platform engineering and operational https://jobeax.com/link/1ogpRBZfx6v1nX5v role focuses on platform reliability, ...
... improvement for an enterprise Databricks Lakehouse platform on https://jobeax.com/link/bGlnCchIlVM0MSjQ engineer will work closely with the onshore Senior Data Platform Engineer while independently managing assigned platform engineering and operational https://jobeax.com/link/1ogpRBZfx6v1nX5v role focuses on platform reliability, ...
... integrations.- Analyze platform logs and troubleshoot application, integration, and connectivity issues.- Work with database, cloud, infrastructure, and data engineering teams to resolve cross-platform issues.- Support Alation upgrades, patches, configuration changes, and environment maintenance.- Assist with user access, ...
... experience in Java, Python, Go, or a similar language. - Experience building developer-facing tools such as CLIs, SDKs, APIs, IDE extensions, build systems, CI/CD platforms, testing frameworks, observability tools, infrastructure-as-code tooling, or cloud development platforms. - Understanding of source control, code review, testing, ...
... build, deploy, and operate their applications efficiently. The role of a platform engineer can vary depending on the client and the specific requirements of the platform they are working on. Job Description - Grade Specific A role that can include overseeing a team of platform engineers, and making key technical decisions in ...