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AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Lead pillar-level delivery for a large-scale AAA game project by translating priorities into sprint plans, facilitating Scrum/Kanban rituals, managing dependencies and risks, keeping backlogs actionable, supporting cross-pod communication, improving workflows, and reinforcing a collaborative, accountable team culture to ensure milestone-driven production.
Top Skills:
JIRAKanbanScrum
2 Hours Ago
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Lead and scale asset production pipelines for a large AAA game, managing Associate Producers, vendors, and co-development partners. Define workflows for intake, tracking, review, approval, integration and delivery; ensure visibility across priorities, dependencies, risks and milestones; maintain asset tracking systems (e.g., Jira); coordinate cross-discipline stakeholders; produce delivery reports and support milestone readiness and quality gates.
Top Skills:
JIRA
Big Data • Cloud • Software • Database
The Staff Engineer will lead the Code Gen team to modernize legacy applications using AI-powered tools. Responsibilities include architectural leadership, engineering excellence, and strategic partnerships with various stakeholders.
Top Skills:
AIGenaiLlmsMicrosoft Sql ServerMongoDBMySQLOraclePostgres
Where You Come In
As our models scale to "omni" capabilities, our data infrastructure must be unbreakable. We are looking for a Data Reliability Engineer who brings a Site Reliability Engineering (SRE) mindset to the world of massive-scale data. You will be responsible for the resilience, automation, and scalability of the petabyte-scale pipelines that feed our research. This is not just about keeping the lights on; it’s about treating infrastructure as code and building self-healing data systems that allow our researchers to train on massive datasets without interruption. Whether you are a junior engineer with a passion for automation or a seasoned SRE veteran, you will play a critical role in hardening the backbone of Luma’s intelligence.
What You'll Do
- Automate Everything: Apply Infrastructure-as-Code (IaC) principles using Terraform to provision, manage, and scale our data infrastructure.
- Harden Data Pipelines: Build reliability and fault tolerance into our core data ingestion and processing workflows, ensuring high availability for research jobs.
- Scale Kubernetes & Ray: Operate and optimize large-scale Kubernetes clusters and Ray deployments to handle bursty, high-throughput workloads.
- Define Reliability: Establish Service Level Objectives (SLOs) and observability standards (Prometheus/Grafana) for our data platforms.
- Debug & Heal: serve as the first line of defense for complex infrastructure failures, diagnosing root causes in distributed storage and compute systems.
Who You Are
- Deep SRE/DevOps proficiency: You live and breathe Linux, networking, and automation.
- Infrastructure-as-Code Native: You have extensive experience with Terraform, Ansible, or similar tools to manage complex cloud environments (AWS/GCP).
- Kubernetes Expert: You have managed Kubernetes in production and understand its internals, not just how to deploy containers.
- Python Proficiency: You can write high-quality Python code for automation, tooling, and infrastructure management.
- Data-Minded: You understand the specific challenges of stateful data systems and high-throughput storage (S3/Object Store).
What Sets You Apart (Bonus Points)
- Experience managing GPU clusters or AI/ML workloads.
- Background in both Software Engineering and Operations (DevOps).
- Experience with high-performance networking (InfiniBand/RDMA).
The base pay range for this role is $170,000 – $360,000 per year.
About LumaLuma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world.
We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
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