BRM Logo

BRM

Senior Software Engineer

Reposted 3 Months Ago
In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
Seeking a Senior Software Engineer to design and develop software solutions, take ownership of projects, and collaborate effectively with teams to enhance AI-driven tools.
The summary above was generated by AI
Power to the buyers

BRM is growing our team of passionate teammates on a mission to arm people with the right tools to do their best work. BRM’s digital assistants automagically help companies find and manage tools. Whether it is collaborating on a renewal, locating misplaced contracts, intelligently negotiating, or automating compliance reviews––BRM’s assistants are bringing power back to the buyer!

Why we need you

We're at a pivotal moment with a roadmap brimming with opportunity. We're looking for a senior software engineer to not only amplify our development horsepower but also catalyze projects forward with precision and impact, taking end to end ownership.

From revolutionizing the inbox experience to refining legal and finance request workflows, and empowering AI-driven assistants, your mission is clear: deliver tangible business value swiftly and effectively. We need a bias towards action, coupled with a relentless focus on delivering results that transform possibilities into realities. Your expertise will shape the future of intelligent automation and redefine what's possible in the realms of AI-driven solutions.

What you’ll do
  • Design, develop, and maintain high-quality software solutions using TypeScript, NodeJS, PostgreSQL, Redis, LLMs (GPT, Claude, etc), Docker, and other modern technologies.

  • Collaborate closely with cross-functional teams to translate product requirements into scalable and efficient code.

  • Participate in and influence code reviews, architectural discussions, and technical planning sessions to ensure code quality and scalability.

  • Take ownership of key components and features, from design to deployment, and drive them to completion with a focus on performance, reliability, and security.

  • Contribute to the evolution of our technical architecture and infrastructure, leveraging cloud services such as GCP to optimize performance and scalability.

Who you are
  • Experience. 8+ years of experience as an engineer on a high-performing team at a B2B SaaS company.

  • Bias for action. You value shipped code over theory.

  • Hands-on coder. You are looking to stay in the weeds and code. You have expert experience with TypeScript, NodeJS, at least one cloud service provider  and a strong understanding of cloud-native architectures and services.

  • Database expert. Strong understanding of database technologies, including PostgreSQL and Redis, and experience with designing and optimizing database schemas.

  • Containerization experience. Proficiency in containerization technologies such as Docker and container orchestration platforms like Google Cloud Run or Kubernetes.

  • Solution-seeking. Strong problem-solving skills and a passion for tackling complex technical challenges.

  • Operations-first. Operationally minded and forward thinking – you document important things to share context now and in the future; have experience explaining ‘why’ you’ve made decisions.

  • Effective collaboration. Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, dynamic environment.

This role isn’t right for you if
  • You prefer remote and asynchronous collaboration.

  • You are uncomfortable working autonomously when needed and shy away from responsibility and ownership.

  • You care about being right, rather than getting to the right answer.

We are an equal opportunity employer and do not discriminate on the basis of any status protected under federal, state, or local law.

HQ

BRM San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

2 Hours Ago
In-Office
Sunnyvale, CA, USA
182K-242K Annually
Senior level
182K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead architecture and delivery for a Kubernetes-native AI inference platform. Own reliability metrics, SLOs, capacity planning, autoscaling, incident improvements, and performance optimization across multiple services. Implement advanced inference techniques such as micro-batching, speculative decoding, and KV-cache reuse while improving tail latency and throughput. Mentor engineers, review designs, and lead cross-team initiatives involving routing, scheduling, cost analytics, and GPU resource isolation.
Top Skills: Bf16C++Ci/CdCudaFp8GoGrafanaKubernetesNcclNumaOpentelemetryPrometheusPythonRay ServeRdmaSharpTensorrt-LlmTorchserveTritonVllm
2 Hours Ago
Hybrid
Santa Clara, CA, USA
143K-243K Annually
Senior level
143K-243K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and maintain compute scheduling, capacity, performance, and resource-management systems across private and public clouds. Develop infrastructure automation, scheduler components, forecasting and reporting tools, performance tests, and reliability improvements. Collaborate with networking, orchestration, and SRE teams, participate in design reviews and on-call rotations, and explore AI or ML for capacity and placement optimization.
Top Skills: AnsibleAWSAzureDnsGCPGoHTTPJavaKubernetesLinuxNtpPythonSlurmTerraform
Yesterday
Hybrid
Mountain View, CA, USA
161K-274K Annually
Senior level
161K-274K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and own runtime infrastructure for enterprise AI agents, including orchestration, model routing, distributed session management, event-driven pipelines, concurrency, observability, caching, tool connectivity, and context optimization. Evaluate and deploy open-weight LLMs while improving agent reliability, latency, relevance, and cost through production experimentation and machine learning techniques.
Top Skills: A2AAsyncioDynamoDBGoGrpcKafkaLlmsMcpNlpOpentelemetryPrometheusProtobufPythonRagRedisSocket.IoSqs

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account