Senior Software Engineer – Live & VOD Video Infrastructure

Responsibilities

We are representing a confidential streaming technology organization seeking a Senior Software Engineer to design and build large-scale video infrastructure powering live and on-demand streaming workflows. You will collaborate with video engineers to build systems responsible for ingesting, processing, and delivering large volumes of video content.

In this role, you will:

• Design, build, optimize, and maintain large-scale data-stream pipelines for live and VOD video encoding workflows running in cloud environments such as AWS or GCP
• Develop high-throughput, low-latency containerized services for video ingestion, decoding, transcoding, packaging, transport, delivery, and ad avail markers management
• Architect systems capable of consuming 24/7 video and audio streams from thousands of providers in real time
• Design resilient worker-to-worker streaming and transport mechanisms capable of handling network instability, packet loss, retransmission, and continuous data flow at scale
• Build scalable orchestration and container-management systems supporting autoscaling, fault tolerance, service recovery, and rolling deployments
• Develop advanced real-time monitoring, telemetry, logging, and alerting systems to provide operational visibility and rapid failure detection

This position requires hands-on software development, including writing new code and maintaining existing codebases across critical video infrastructure.

What We're Looking For

Our client is seeking candidates with:

• Experience building distributed backend systems and cloud-native infrastructure at scale
• Deep understanding of container orchestration, worker lifecycle management, autoscaling, resiliency, and cloud infrastructure patterns
• Experience designing systems that continuously process high-throughput data streams with strict reliability and uptime requirements
• Experience debugging networking issues, packet loss, transport instability, and distributed system failures in real-time streaming environments
• Strong programming skills in one or more of the following: Go, Java, Rust, C, C++, or Python
• Hands-on experience with media frameworks and libraries such as GStreamer, FFmpeg, MediaMTX, or similar technologies

Nice to have:

• Experience with GPU-accelerated encoding or hardware media pipelines
• Familiarity with Kubernetes, ECS, Nomad, or other orchestration platforms
• Experience with observability stacks such as Prometheus, Grafana, OpenTelemetry, ELK, or Datadog
• Experience building fault-tolerant ingest or transcoding platforms operating across multiple regions
• Fluency with AI-assisted development tools and agent frameworks

How We Work With You

Our talent team at Get A Job.ai partners with leading technology organizations to connect exceptional engineers with transformative opportunities. When you apply through our platform, a dedicated recruiter will screen your qualifications and discuss the role in detail. If there's a strong match, we will submit your profile to our client for consideration.

Please apply exclusively through Get A Job.ai. Do not contact the client directly, as all applications must be coordinated through our recruitment process to be considered.

This is a hybrid position based in Cambridge, with in-office work generally Monday through Thursday.

Pay

Compensation details will be discussed during the screening process with our recruitment team.

Equal Employment Opportunity: Get A Job.ai is committed to building diverse and inclusive teams. We welcome applicants of all backgrounds and provide equal employment opportunities regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.