1,176 to 1,200 of 1,270 Observability Jobs

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 ...

Job Description Purpose of the role: Apply software engineering techniques, automation, and best practices in incident response to ensure reliability, availability, and scalability of systems, platforms, and technology. Availability, performance, and scalability of systems and ...

We are a pre-seed team, well funded by a top European fund and a strong group of angels and operators. We're building AI agents for GTM — agents that do the work of a ...

Who are Heidi? Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care. We exist to double healthcare’s capacity while keeping care deeply ...

A global financial services firm in Greater London is looking for an experienced AI Governance Engineer to support the implementation of AI solutions. This role involves translating governance principles into practical frameworks, ensuring that AI ...

MLOps Platform Manager (Databricks) London £550-£650 Outside IR35 Per Day Fully Remote Start date: ASAP The Company They are a large, complex organisation with a strong focus on data, analytics and AI to support ...

Leading observability and monitoring technology vendor with an established presence across global financial services markets is seeking an experienced enterprise technology professional to join its growing team. Location: Hybrid working model London, UK Compensation: Up to £150,000 base (double OTE) Requirements: Exposure to observability, monitoring, SaaS, or other highly ...

addition to your network expertise, you will assist in improving monitoring accuracy, reducing alert noise, and enhancing the quality of operational data used across observability and AIOps platforms. You will participate in automation and AI-readiness efforts by documenting repeated issues, validating automated workflows, and providing operational insights that support … specific knowledge to improve stability and reduce operational noise. You will collaborate across IT to support detection accuracy and contribute to long-term automation, observability, and AI-driven reliability initiatives supporting our global workforce.# **Responsibilities:**## **General Reliability Operations*** Resolve network and infrastructure incidents through hands-on troubleshooting and remediation ...

highly hands-on role focused around backend systems, infrastructure, release engineering and developer tooling. You’ll work across production backend services, CI/CD, observability, deployment infrastructure and platform reliability, helping improve how the company ships and scales its products. The environment is very engineering-led and suited to someone … solving complex technical problems in a fast-moving startup environment. Tech stack includes: TypeScript/Node.js Infrastructure & DevOps CI/CD/monitoring/observability Backend systems design Real-time/collaborative product infrastructure Ideal background: Strong production backend/infrastructure engineering experience Experience improving release quality, reliability and developer ...

linearly. As Platform/Infrastructure Engineer, you will be a core builder alongside Arsen, owning the reliability and velocity of our systems: environments, deployment, observability, security, and the platform primitives that data/pipeline work depends on. This role is about making it easy (and safe) for the rest … processing, multimodal pipelines). Familiarity with security/compliance considerations around data access and rights management. Experience building orchestration primitives (workers, queues, schedulers) and observability for data pipelines. Working style & expectations Remote-friendly with high autonomy and high ownership. Bias for simple systems that work, with incremental hardening. Location Remote ...

execution systems and support live trading workflows Build tooling for real-time monitoring, diagnostics, performance attribution, and post-trade analysis Improve system design, scalability, observability, operational resilience, and maintainability Preferred Qualifications 5+ years of hands-on software engineering experience designing, building and operating systems with high complexity. Prior experience … data, research, back testing, execution, monitoring, and post-trade analysis. Strong system design skills and sound engineering judgment. High standards for correctness, reliability, testing, observability, and maintainability For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https:/ ...

much a founding role — the foundation is there, and almost everything else is still to be built: deeper integrations with Found, live chat, email, observability at scale, and more. You'll be shaping what Eliza becomes. What does this role involve? Owning the technical roadmap for Eliza … hands‐on software engineering experience, including leading technical decisions and mentoring engineers. You have real experience building with LLMs — prompt engineering, eval frameworks, observability You're extremely product‐minded — you focus on impact and decreasing the cost of change, not just shipping features You know when to use duct tape ...

# About the role Science Machine is building agentic AI software for automating bioanalysis workflows. Our platform helps scientists and bioanalysis teams turn complex analytical processes into reliable, repeatable, AI-assisted workflows across data ingestion ...

About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts ...

ITRS, we make society's critical technology work. Our mission is to deliver automated and holistic IT observability solutions that safeguard critical applications and enable innovation. We are the only monitoring and observability platform designed for the most demanding and regulated industries — trusted by 90% of Tier 1 capital markets … partner. Scope of Role The Head of Brand & Content will lead ITRS's brand evolution and establish us as a thought leader in the observability space. You will build an executive media machine, develop world‐class expertise and create systematic content programs that engage target audiences throughout their buyer journey. ...

Role: OTel (Open Telemetry) Architect Location: London, UK Type: Permanent Job Description: OTel Architect: Strong expertise in Open Telemetry architecture, telemetry pipelines, and observability strategy across cloud and hybrid environments. Skilled in designing scalable collector deployments, telemetry standardization, integration with monitoring platforms (Dynatrace, Datadog, Grafana, etc.), and enabling RCA/… AIOps driven observability outcomes. ...