In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.
If you'd like to build the world's best deep learning cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Design and implement cloud-native architectures that deliver the "four nines" (99.99%) of reliability while balancing performance and cost efficiency
Develop comprehensive monitoring and alerting systems with actionable dashboards that provide real-time visibility into system health
Implement SLIs, SLOs, and SLAs across services and maintain error budgets to guide development priorities
Automate deployments using tools like Argo and Terraform
Create robust incident management processes, escalation paths, and documentation
Architect fault-tolerant systems with graceful degradation capabilities to handle component failures
Design and implement disaster recovery solutions with regular testing procedures
Lead post-incident reviews that focus on systemic improvements rather than individual blame
Champion reliability best practices and system design principles
Build automated, auditable, and compliant processes to improve efficiency and productivity
You
5+ years of experience in Site Reliability Engineering or DevOps roles
Strong understanding of cloud platforms (AWS, GCP, Azure) and their core services
Experience designing and implementing monitoring and observability solutions at scale
Proven track record managing production incidents and driving root cause analysis
Proficiency with Infrastructure as Code tools and CI/CD pipeline implementation
Strong understanding of network architecture, load balancing, and content delivery
Expertise in performance tuning and system optimization techniques
Experience with container orchestration platforms like Kubernetes
Knowledge of database administration and optimization strategies
Solid coding skills in at least one language (Python, Go, Bash) for automation
Nice to Have
Experience with high-throughput, low-latency systems
Knowledge of security best practices and implementing defense-in-depth strategies
Experience with multi-region and distributed systems and solving consistency/availability challenges
Background in chaos engineering or similar reliability testing methodologies
Understanding of compliance frameworks (SOC 2, ISO 27001, etc.)
Familiarity with message queuing systems and event-driven architectures
Background working with specialized computing hardware
Salary Range Information
Based on market data and other factors, the annual salary range for this position is $245,000 - $385,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, ~350 employees (2024) and growing fast
We offer generous cash & equity compensation
Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Health, dental, and vision coverage for you and your dependents
Commuter/Work from home stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible Paid Time Off Plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
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