526 to 550 of 1,507 Observability Jobs

engineering best practices Consider long-term technical strategy, trade-offs, and system interactions A data-informed approach to decision-making, with a bias toward observability and learning A proactive mindset toward AI and emerging technologies, with the curiosity and willingness to experiment, learn, and leverage them to drive team efficiency ...

infrastructure‐as‐code (AWS) and CI/CD pipelines to keep up with cutting‐edge approaches. You will personally contribute to the automation and observability patterns that allow us to deploy fresh data and production services with high confidence and zero downtime. Advance Data Capabilities : Lead the hands‐on development ...

search layer used to ground agent responses in approved data sources. Delivering a production Internal MCP Gateway providing discovery, security, policy enforcement, observability, and lifecycle management for MCP tools and Skills. Designing and building MCP servers and Skills that expose internal and vendor systems safely to agents. Establishing evaluation, quality ...

retrieval architectures, and applied ML. Establish evaluation frameworks to measure model quality, safety, robustness, and business impact. Architect production-ready AI applications with strong observability, monitoring, and iteration loops. Advise on AI tooling, vendor selection, infrastructure alignment, and technical roadmap decisions. Mentor internal engineers on modern AI development workflows ...

platform.Lead by example in engineering quality through clean, well-tested code and strong coding practices.Promote an SLO-driven culture by contributing to reliability goals, observability, and incident learnings.Partner closely with engineers and other stakeholders to clarify requirements and deliver effectively.Break down complex problems into pragmatic technical solutions, estimates, and implementation ...

building and operating services in AWS or similar cloud environments. Good understanding of distributed systems, cloud‐native architecture, and CI/CD. Experience with observability, production debugging, and incident response. On-Call & Reliability Willingness to participate in a mandatory 24/7 on‐call rotation. Experience responding to production incidents ...

owns AI security and the Responsible Use Policy* Provide the operational foundation that enables TBI's Agentic AI and Generative AI capability pillars**Capacity & Observability*** Own scaling (design and operation), rightsizing and optimisation of cloud and SaaS resources* Own application monitoring, alerting and on-call response for in-scope platforms ...

Kafka, Spark, data lakes), MLOps practices, and deployment platforms. Ensure compliance with data privacy regulations (including UK GDPR) and responsible AI standards, incorporating governance, observability, and security controls into the architecture. Strategic AI Leadership: Act as a technical advisor and thought leader on AI strategy and innovation across the organization ...

architecture of the platform. Engineering Excellence and Quality Define engineering standards, evaluation methodologies, guardrails, release criteria, and quality frameworks for agent-based systems. Establish observability, monitoring, and evaluation capabilities that enable measurable and repeatable quality outcomes. Review and approve key technical designs and architectural decisions. Promote engineering rigor through technical ...

specialists across EMEA and APJ. You will be responsible for driving the strategy and execution to achieve Annual Recurring Revenue (ARR) target for our Observability and Cyber Resilience solutions. This is a strategic leadership role focused on developing your team, fostering a culture of success, and accelerating the adoption ...

core of the platform is Ataccama’s market-leading data quality, with modules built around it to unify data quality monitoring, catalog, lineage, observability, and reference data management, ensuring data is consistent and explainable. This quality-first foundation makes data the engine of trust, powering AI, analytics, and operations with ...

native and hybrid integration patterns across Azure, SaaS platforms and enterprise systems. Security and Resilience: Good understanding of identity, secrets, certificates, encryption, network controls, observability, monitoring, disaster recovery and business continuity requirements. Architecture Principles: Demonstrable experience of technology standards, services, design, architecture principles, architecture views, modelling and systems behaviour. Solution ...

quants, traders, and engineers to deliver solutions that improve trading performance and resilience Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence Troubleshoot complex production issues across exchange connectivity, execution, and market data handling Drive engineering standards through technical leadership, code reviews, and mentoring ...

solutions. Ensure integrations meet security, compliance, audit, and data governance requirements. Drive adoption of modern engineering practices including CI/CD, automated testing, monitoring, observability, and Infrastructure as Code where appropriate. Oversee production support processes, incident management, root cause analysis, and continuous improvement activities. Collaborate with Workday product teams ...

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 ...