426 to 450 of 547 Remote/Hybrid Observability Jobs

lead time, high deployment frequency, low change-failure rate and rapid recovery. You’ll equip teams with paved roads, Golden Path pipelines, strong observability and secure environments that make fast, safe change the norm.You’ll also grow skills across squads, align engineering practices and create a trusted environment where teams … release strategies and resilience-first patterns that allow teams to deliver change safely and confidently as we modernise the platform.* Architect for reliability and observability, shaping API/event contracts, posting and settlement patterns, product and account boundaries and platform dependency baselines.* Shift left on quality and security, embedding contract ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...

product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish … operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience ...