1,176 to 1,200 of 1,921 Remote/Hybrid Observability Jobs

latency budgets without compromising correctness or debuggability. Build comprehensive simulation, replay, bench and on-vehicle tests, and improve metrics, diagnostics and fleet-level observability across nominal and failure scenarios. About you In order to set you up for success as a Robotics Engineer at Wayve, we're looking ...

data-heavy or analytics‐driven products. Familiarity with evaluating or iterating on AI‐generated outputs. Exposure to CI/CD pipelines, testing strategies, or observability tooling. Who this role is not for This role is not a good fit if you: Prefer narrowly defined tasks with little product context ...

latency budgets without compromising correctness or debuggability. Build comprehensive simulation, replay, bench and on-vehicle tests, and improve metrics, diagnostics and fleet-level observability across nominal and failure scenarios. About youIn order to set you up for success as a Robotics Engineer at Wayve, we're looking for the following ...

GenAI capabilitiesStrong Candidates Might Also HaveExperience fine-tuning models for style or persona (e.g. chatbots with specific character voices)Exposure to LangSmith or similar observability tools for prompt/LLM testingKnowledge of voice synthesis, cloning, or emotion conditioning in audio pipelinesPrevious work in media, journalism, podcasting, or content production contextsFamiliarity ...

transitions that challenge established ways of working Comfortable with ambiguity; can hold direction steady while the detail is still being worked out Familiar with observability, production monitoring, and shift-right quality practices Where you'll work We offer flexible working, with an expectation of 3 days a week ...

mapping, API response handling, context manipulation, logging, and custom flow behaviour. Experience designing secure REST API integrations, PII-safe handling, authentication patterns, error handling, observability, and production support models. Strong voice-agent architecture experience, including STT/TTS selection, multilingual recognition, DTMF, barge-in, end pointing, transfers, hang-up logic ...

RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor ...

RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor ...

RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor ...

RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor ...

RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor ...

RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor ...

RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor ...

RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor ...

RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor ...

RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor ...

RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor ...

RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor ...

control, monitoring, service discovery and deprecation. Experience with integration security, including authentication, authorisation, secrets management, certificate management, encryption and data protection. Understanding of integration observability, including logging, metrics, tracing, alerting, exception handling, dead-letter queues, error recovery and operational dashboards. Familiarity with Azure integration patterns, including Azure Service Bus, Azure ...

control, monitoring, service discovery and deprecation. Experience with integration security, including authentication, authorisation, secrets management, certificate management, encryption and data protection. Understanding of integration observability, including logging, metrics, tracing, alerting, exception handling, dead-letter queues, error recovery and operational dashboards. Familiarity with Azure integration patterns, including Azure Service Bus, Azure ...

play a key role in building highly reliable, scalable, and observable infrastructure. This is a hands-on role focused on AWS, Kubernetes, Terraform, observability, monitoring, and automation, working closely with software engineering teams to improve platform reliability and developer experience. You'll have genuine ownership and the opportunity to influence … infrastructure using Terraform and Infrastructure as Code principles Develop and optimise CI/CD pipelines using GitHub Actions Build and improve comprehensive monitoring and observability across the platform Implement and maintain effective logging, metrics, tracing, alerting, and dashboards Define and improve SLIs, SLOs, and reliability metrics Proactively identify and resolve ...

70+ languages, adapting to context and intent. Evaluation, safety, and guardrails — define how the unit measures agent quality and safety, with rigorous evaluation, observability, and guardrails so agents behave reliably in a compliance‐sensitive, multi‐market environment. Intelligence and data products — architect the client‐intelligence systems that turn payment data … systems at scale. Model serving and LLM inference, with the cloud infrastructure to run AI workloads in production (AWS or similar). Evaluation and observability for AI — hands‐on with tools like LangFuse, LangSmith, Braintrust, or MLflow — plus solid automated testing and CI/CD. Proven technical leadership — mentoring engineers ...

aligned to business requirements. Working closely with Technical Leads, Architects, Product Owners, Platform Engineers, and delivery teams, you will drive implementation quality, testing, observability, operational readiness, and continuous improvement throughout the software development lifecycle. What you will do Lead build execution within a squad, platform capability, or engineering domain. Translate … generated and engineer‐written code to ensure correctness, maintainability, security, and alignment with specifications. Drive engineering excellence through automated testing, contract testing, regression testing, observability, and production verification. Support CI/CD processes, deployment readiness, operational handover, runbooks, and service ownership. Ensure AI‐generated outputs are explainable, traceable, secure ...

business provides a modern unified observability platform, helping organisations monitor complex cloud environments through data collection, visualisation and security insights. This is a strong opportunity to join at an early stage of the European growth journey, where you'll have real visibility and impact as the team scales. What … Maintain system reliability, availability, and performance for cloud infrastructure and services to ensure continuous operations Monitor production environments and manage observability tools to track metrics, logs, and alerts for proactive issue detection Support incident response by troubleshooting issues, conducting root cause analysis, and leading post-incident reviews to prevent recurrence ...

someone who can design, build and operate scalable systems, not just manage cloud infrastructure. You'll work across infrastructure, automation, CI/CD, observability and production reliability, while writing high-quality software in Go and helping improve the way engineering teams build and run services at scale. What will … making builds, tests and deployments faster and safer Build automation and internal tooling that removes manual toil for engineering teams Improve observability across metrics, logging, tracing and production monitoring Define and manage SLOs across latency, availability and error rates Lead incident response, triage complex production issues and ship long-term ...