326 to 350 of 1,400 Permanent Observability Jobs

clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones. Engineering Standards & Operational Excellence: Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine ...

clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones. Engineering Standards & Operational Excellence: Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine ...

teammates’ work quickly. Our small team regularly deploys over a dozen times a day. Yes, we ship on Fridays. We are hooked on observability: we strive to get visibility over all parts of our system to make incident response as painless as possible and to know what needs to improve. ...

Crossplane, CRDs) Maintain high standards across testing (unit, integration, contract) and code quality Apply strong security practices across backend and frontend systems Build meaningful observability (tracing, logging, SLOs) focused on real user impact Take a cost aware approach to scaling and resource usage Participate in an on call rotation once ...

load balancing •Experience with containerised services such as Docker •Proven experience troubleshooting live services and performance issues •Hands-on use of monitoring and observability tools (e.g. Dynatrace, Prometheus, Grafana or similar) •Experience working in Agile environments using tools such as Jira and Confluence •Understanding of monolithic and microservice architectures •Ability ...

/Java). Code is: best practice compliant, well-tested, maintainable, scalable, and documented. Experience developing cloud native services (Ideally AWS) Good understanding of observability and metrics: Proficient with dashboards, alerting, and monitoring for operational excellence and business metrics. Excellent at working with product/engineering and managing stakeholder expectations. ...

Strong understanding of mobile CI/CD pipelines, release management and deployment automation. Experience using GitHub and modern source control workflows. Knowledge of mobile observability, alerting, monitoring and performance optimisation. Ability to provide technical leadership, influence engineering decisions and support multiple teams in delivering high‐quality mobile solutions. Desirable Skills ...

that empowers developers to deploy applications independently with minimal operational overhead Reduce operational toil by implementing automation around monitoring scaling configuration and system maintenance Observability Monitoring Reliability Implement comprehensive monitoring logging and alerting frameworks to ensure high platform availability and rapid incident response Conduct performance tuning capacity planning and proactive ...

assumptions, limitations, and model performance. Build and productionize analytics that advance intraday/EoD automation (services, APIs, pipelines) with clear SLOs/SLA, observability, reliability engineering practices, and tight integration into trading/risk platforms. Provide technical leadership and mentorship; conduct code/method reviews, establish research engineering best practices ...

degradation, autoscaling behaviors, incident follow-ups, and runbooks. Contribute to system design by breaking down ambiguous problems, proposing approaches, and making pragmatic tradeoffs. Add observability with metrics, tracing, logging, dashboards, and actionable alerts tied to SLOs. Support safe deployments through CI/CD improvements, canarying, feature flags, backward compatibility ...

make it possible for non-technical people to prototype on the codebase without putting the production code at risk. Production quality. Own testing, observability, and post-release investigation for what you ship. About You Must Have Full stack with backend depth. Professional software engineering experience across the stack, with your ...

concrete technical roadmaps with measurable outcomes, and represent Scale at the executive level. Enforce production excellence. Set and hold the standard for reliability, security, observability, and evaluation across deployed agents—making sure the systems we ship are genuinely enterprise‐ready, not just demo‐ready. Drive the feedback loop into product. ...

business stakeholders to align integration solutions with strategic goals. ## Continuous Improvement* Continuously assess and optimise integration solutions and tooling for performance, scalability, maintainability, observability, and self-service capability.* Lead technical discussions, mentor team members, and foster a culture of innovation, engineering excellence, and continuous improvement.* Work in an agile ...

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 ...

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 ...

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 ...