1,026 to 1,050 of 5,047 Observability Jobs

code (IaC), automation, and CI/CD pipelines. Proficiency in writing and debugging code using TypeScript (Node.js) and Python. Experience with monitoring, logging, and observability tools such as Grafana, Prometheus, and AWS CloudWatch. Proficiency with Infrastructure as Code (IaC) tools, particularly AWS CDK and Terraform. Exposure to unit testing, integration ...

code (IaC), automation, and CI/CD pipelines. Proficiency in writing and debugging code using TypeScript (Node.js) and Python. Experience with monitoring, logging, and observability tools such as Grafana, Prometheus, and AWS CloudWatch. Proficiency with Infrastructure as Code (IaC) tools, particularly AWS CDK and Terraform. Exposure to unit testing, integration ...

code (IaC), automation, and CI/CD pipelines. Proficiency in writing and debugging code using TypeScript (Node.js) and Python. Experience with monitoring, logging, and observability tools such as Grafana, Prometheus, and AWS CloudWatch. Proficiency with Infrastructure as Code (IaC) tools, particularly AWS CDK and Terraform. Exposure to unit testing, integration ...

code (IaC), automation, and CI/CD pipelines. Proficiency in writing and debugging code using TypeScript (Node.js) and Python. Experience with monitoring, logging, and observability tools such as Grafana, Prometheus, and AWS CloudWatch. Proficiency with Infrastructure as Code (IaC) tools, particularly AWS CDK and Terraform. Exposure to unit testing, integration ...

code (IaC), automation, and CI/CD pipelines. Proficiency in writing and debugging code using TypeScript (Node.js) and Python. Experience with monitoring, logging, and observability tools such as Grafana, Prometheus, and AWS CloudWatch. Proficiency with Infrastructure as Code (IaC) tools, particularly AWS CDK and Terraform. Exposure to unit testing, integration ...

code (IaC), automation, and CI/CD pipelines. Proficiency in writing and debugging code using TypeScript (Node.js) and Python. Experience with monitoring, logging, and observability tools such as Grafana, Prometheus, and AWS CloudWatch. Proficiency with Infrastructure as Code (IaC) tools, particularly AWS CDK and Terraform. Exposure to unit testing, integration ...

testing agentic architectures through our own Genie Platform – enabling AI agents that reason, retrieve, and act across systems. Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith. Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) – but always choosing the right tools for the problem ...

bespoke extensions, integrations, batch services, reporting and downstream data products. Define technical standards for configuration versus customisation, extension patterns, environment topology, supportability, resilience, performance, observability, security and data privacy. Govern enterprise versus local design decisions, ensuring justified country-specific requirements are accommodated without creating uncontrolled divergence or unnecessary technical debt. ...

Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity ...

matter, and you design controls in rather than bolting them on. Familiarity with PCI DSS is a strong plus. Engineering excellence: A focus on observability and measurement: you instrument what you build and answer operational questions with data rather than opinion. Leadership and mentorship: A natural ability to guide ...

shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter ...

Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity ...

GStreamer, FFmpeg, MediaMTX, or similar technologiesExperience with GPU-accelerated encoding or hardware media pipelinesFamiliarity with Kubernetes, ECS, Nomad, or other orchestration platformsExperience with observability stacks such as Prometheus, Grafana, OpenTelemetry, ELK, or DatadogExperience building fault-tolerant ingest or transcoding platforms operating across multiple regions#LI-JC5What's Roku's approach ...

review, maintainability, reliability, and production support.Strong understanding of ML engineering and MLOps practices, including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support.Practical experience with LLM-based capabilities, including retrieval-augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability.Experience with agentic workflows, tool ...

maintainability, reliability, and production support. Strong understanding of ML engineering and MLOps practices, including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support. Practical experience with LLM-based capabilities, including retrieval-augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability. Experience with agentic ...

maintainability, reliability, and production support. Strong understanding of ML engineering and MLOps practices, including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support. Practical experience with LLM-based capabilities, including retrieval-augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability. Experience with agentic ...

tools (Cursor, Claude, Vibes) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months. Telemetry & Observability: Model data, ship ETL/ELT pipelines, and build real‐time agent performance dashboards to track execution health, fallback triggers, and business outcomes. Field ...

maintainability, reliability, and production support. Strong understanding of ML engineering and MLOps practices, including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support. Practical experience with LLM‐based capabilities, including retrieval‐augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability. Experience with agentic ...

Software Engineer (backend) Location: London or New York - in office 4 days a week About Lorum Global payments are not broken. Incentives are. Clearing has been deprioritized inside balance sheet driven institutions whose models rely ...

About GitHub GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 ...

The team you'll be working with: We are looking for a Solution Architect to help our clients design and deliver modern, scalable and secure digital solutions, primarily on Microsoft technologies. You will combine architecture ...

AI and Cloud DirectorLocation: London/HybridBusiness: BIP UKPractice: xTech - AI, Data and CloudReporting to: UK xTech LeadershipEmployment type: Full timeAbout BIP UKFounded in 2003, BIP is an international consulting firm with more than 6 ...

Role OverviewThe Senior Data Engineer is the technical owner of the ClarusONE data platform. This is a hands-on engineering role with real ownership: alongside building and delivering data pipelines, you will raise the engineering ...

The Cloud Architect is responsible for analysing existing on-premise systems and designing, planning, and supporting their migration into a secure, scalable, and cloud-native environment. The role focuses on modernising architectures, leveraging managed services ...

About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve ...