901 to 925 of 2,476 Remote/Hybrid Observability Jobs

plus. Experience deploying or supporting applications in cloud environments (AWS preferred) and exposure to Kubernetes, containers, or modern infrastructure tooling is desirable. Experience with observability tools, logging, metrics, or debugging production systems is a plus. Experience building or supporting developer-facing products such as APIs, SDKs, CLIs, or developer platforms ...

plus. Experience deploying or supporting applications in cloud environments (AWS preferred) and exposure to Kubernetes, containers, or modern infrastructure tooling is desirable. Experience with observability tools, logging, metrics, or debugging production systems is a plus. Experience building or supporting developer-facing products such as APIs, SDKs, CLIs, or developer platforms ...

plus. Experience deploying or supporting applications in cloud environments (AWS preferred) and exposure to Kubernetes, containers, or modern infrastructure tooling is desirable. Experience with observability tools, logging, metrics, or debugging production systems is a plus. Experience building or supporting developer-facing products such as APIs, SDKs, CLIs, or developer platforms ...

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 ...

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 ...

from experimentation into production. Implementing RBAC and OIDC-based access controls. Supporting secure API key issuance, rotation and revocation. Applying high standards across testing, observability and technical documentation. Using evaluation frameworks, golden datasets, structured outputs and fallback paths to manage non-deterministic behaviour. Producing architecture decision records, runbooks ...

optimisation RESTful API design and implementation Git - version control and collaborative workflows Testing strategies (unit, integration, end-to-end) Experience with monitoring, logging, and observability tools Knowledge of scalable system architecture and design patterns Familiarity with modern AI tools and a habit of staying up to date with how they ...

workflow, plus familiarity with cheminformatics tooling (e.g. RDKit, OpenEye) — or willingness to pick these up. MLOps fluency: experiment tracking, data versioning, model serving, and observability of deployed models. A visible track record in the field — peer‐reviewed publications, open‐source contributions, or public projects that demonstrate your judgement on real ...

performance within agreed targetsLead incident response for BI platform services — triage, resolve, and follow up with post-mortems that actually prevent recurrenceBuild and manage observability infrastructure: dashboards, alerts, and logging across GCP servicesTrack GCP cloud spend and set up cost alerting to flag anomalies before they become problemsReview ...

modelling in a production context Exposure to AI product development, LLM tooling, or data applications Experience with data quality frameworks, semantic layers, or data observability tooling Prior experience working with HR, people, or workforce data Additional Information Bring all of you to work We create the conditions for high performers ...

statistical modelling in a production contextExposure to AI product development, LLM tooling, or data applicationsExperience with data quality frameworks, semantic layers, or data observability toolingPrior experience working with HR, people, or workforce dataAdditional InformationBring all of you to workWe create the conditions for high performers to thrive, through real ownership ...

workloads, making sound tradeoffs across reliability, performance, cost, and maintainability. Deliver quickly without sacrificing quality: Use modern engineering practices (CI/CD, automated testing, observability, and progressive delivery) to iterate fast and reduce operational risk. Drive customer success and adoption: Work directly with customer engineering teams to deliver production-ready ...

ensure implementation of permanent fixesSupport incident problem and change management processesEnsure application availability resilience disaster recovery and business continuity requirements are metDrive proactive monitoring observability alerting and operational automation initiativesEnhancement DeliveryPartner with business and product stakeholders to translate requirements into scalable technical solutionsSupport estimation impact assessments and solution planning ...

evolve the architecture of Fin's web platform. Define the long-term technical strategy for the web team, focusing on scalability,performance, developer productivity, observability, and system reliability. Collaborate closely with marketing, design, analytics, and data science stakeholders toensure the platform supports their goals with accuracy, performance, and agility. Lead ...

software engineering experience building and scaling distributed, cloud-native systems, with end-to-end ownership across the software lifecycle Deep expertise in scalability, reliability, observability, and production-grade system architecture Strong hands-on engineering capability and experience operating infrastructure in AWS (Kubernetes/EKS preferred) Experience building and operating internal ...

RISE, on premise ECCs & BWs, S4 Public, SAP Business AI Platform (BTP) and Joule, integration, data and analytics platforms, engineering toolchains, test automation, observability, application lifecycle management and the wider SAP technology ecosystem. This is deliberately broader than a specialist engineering role. The successful candidate will dynamically take more ownership ...

move into production with confidence Build and orchestrate analytical/processing pipelines across ingestion, training, inference and post-processing with built-in monitoring and observability Design and implement processes to increase efficiency in your workstreams Identify and integrate tooling (including AI tools) to streamline your work Work closely with cross ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more Invent ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more Invent ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more Invent ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more Invent ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more Invent ...