176 to 200 of 698 Remote Observability Jobs

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler ...

collaborative system design, while taking end-to-end ownership of implementation through to production support. Build production‐grade systems with a strong focus on observability, monitoring, and operational excellence, enabling rapid detection and resolution of issues. Work with AWS services to build cloud‐native, highly available systems. Define and manage ...

scale backend services powering real-time multiplayer gameplay Work with GKE, Helm, and Kubernetes to manage deployments and autoscaling for stateful game servers Improve observability: monitoring dashboards, alerting (Prometheus/Grafana or GCP Cloud Monitoring), and incident response Scale distributed databases (MongoDB, PostgreSQL) under high concurrent load Optimise Kafka event ...

Integrate data from healthcare systems, SaaS applications, APIs, databases, and operational platforms Build ingestion, transformation, and orchestration frameworks using modern engineering principles Implement monitoring, observability, and data quality controls to ensure trusted and reliable insights Optimise platform performance to support growing data volumes and analytical demand Turn Data Into Better ...

Serverless, API gateway, Kubernetes, and Terraform, with the ability to guide teams on infrastructure best practices. Experience with monitoring tools like DataDog and general observability best practices Interest or experience in cryptocurrency and blockchain technology. Job Benefits How We Work Hybrid working and the option to work from almost anywhere ...

over architectural purity, and you’re explicit about that being a deliberate choice. Take the prototypes that prove out into early production — enough robustness, observability, and compliance posture to handle live flows — in close partnership with the production engineers who will own them. Own the handoff. Instrument it, document ...

Experience: Contributing to improvements in build tooling, CI/CD pipelines, testing approaches and overall engineering productivity. Operational Excellence: Supporting systems in production, improving observability, performance, and resilience. Experience: Strong Java Expertise: Proven experience building backend systems using Java and frameworks such as Spring with deep understanding ...

Your Role We’re hiring a Senior Engineer to join our Platform Engineering team, working with squads dedicated to site reliability, cloud infrastructure, observability and production operations. You’ll help drive operational consistency and ensure that Hudl engineers can build on a highly available, scalable and secure platform. ...

allowed to do. Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. Observability and cost control for inference at volume. What success looks like in your first year By month three: You understand our customs processes well enough ...

behavior, including monitoring, alerting, logging, debugging, and runbooks.* Work with product, design, infrastructure, support, and other engineering teams.* Improve quality through tests, code review, observability, and simpler designs.* Use data and production evidence to validate decisions.* Take ownership of incidents and production issues when systems do not behave as expected. ...

frontend and backend systems work together in high‐performance environments. Experience with infrastructure and DevOps fundamentals: CI/CD, cloud platforms, CDN, monitoring/observability, and deployment strategies. Strong understanding of security best practices (OWASP, authentication/authorization patterns, secure data handling) — especially in a financial context. Experience hiring, mentoring ...