501 to 525 of 1,389 Permanent Observability Jobs

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 ...

years, not quarters. The Team Our Foundation team owns the platform every engineer at Gigs builds on: cloud infrastructure, CI/CD, observability, golden paths, and the shared services that keep our product running. That charter is expanding. We believe the next big improvement in how Gigs ships software comes ...

frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Ability ...

advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.What is The Role: We're looking for a Principal Software Engineer to join the Elasticsearch - Search Scaling ...

agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership—training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads ...

Markets domain - Pricing, Trading, Risk Management, Settlement, Confirmation, Reporting, Data platforms. • Engineering skills - Microservices architecture, experience in platform as a service , Cloud, Devops, SRE , Observability, Security , API management , Integration technologies. Leverage the technologies to design architect solutions - Includes Cloud-native technologies, APIs, spring boot microservices, Devops, application security, DLTs, SaaS ...

Requirements: Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements Passion for identifying new business opportunities and experience of using ...

agentic safety at enterprise scale* AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker* Cloud AI Platforms: Demonstrated deployment of AI workloads ...

native architectures, containerization, and platform engineering practices where applicable Oversee environment strategy (DEV, QA, UAT, PROD) ensuring consistency, automation, and governance across environments Ensure observability (monitoring, logging, alerting) is in place to support proactive issue detection and performance management Collaborate on disaster recovery (DR) and business continuity strategies, including testing ...

leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems.* Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices.* Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies.* Serve ...

GraphRAG) Experience building and shipping generative AI systems in production, at scale. Deep expertise in operating AI systems in enterprise environments, including reliability, observability, guardrails, and compliance considerations Experience building context layers for agentic systems, including multi-source blending, context window management, relevance scoring, and context quality evaluation across heterogeneous ...

e.g., E2E/Cypress). Backend Excellence: Engineers sophisticated backend solutions involving API versioning, caching strategies, and complex data migration plans. Operational Maturity: Leads observability and SRE practices; defines SLOs, manages incident responses, and conducts blameless post-mortems. Security \& Risk: Oversees operational security, including secrets hygiene and dependency risk management ...

also had this, it would be great... Familiarity with ML Ops practices and tools for model deployment and monitoring. Familiarity with Gen AI capabilities, Observability, Gen AI type - Q/A, text summarization and text generation etc. Experience working in regulated industries or highly matrixed, enterprise environments. Experience modernizing ...

e.g., E2E/Cypress). Backend Excellence: Engineers sophisticated backend solutions involving API versioning, caching strategies, and complex data migration plans. Operational Maturity: Leads observability and SRE practices; defines SLOs, manages incident responses, and conducts blameless post‐mortems. Security & Risk: Oversees operational security, including secrets hygiene and dependency risk management ...

facing AI feature is built on. The team owns LLM serving (LiteLLM), the MCP gateway and tool registry, agentic runtime, evaluation tooling, and the observability layer that makes AI outputs trustworthy at scale. This is a technical engineering management role for a builder-leader. You will lead a team ...

your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management. Role Description Skills: ROLE PURPOSE Lead the Site Reliability Engineering practice, driving … reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving. KEY RESPONSIBILITIES Define and enforce ...

technical design and architecture through to production deployment, monitoring, support, and continuous improvement. Champion engineering best practices across code quality, testing, CI/CD, observability, maintainability, and operational resilience. Mentor and guide junior and mid‐level engineers, setting high technical standards through code reviews, design reviews, and hands‐on technical … reliable, maintainable, and responsive UI delivery. Strong understanding of software engineering best practices, including automated testing, clean code, code reviews, CI/CD, observability, and secure development practices. Experience deploying and operating production‐grade systems in cloud or hybrid‐cloud environments. Demonstrated ability to lead technical delivery, mentor engineers ...

platform strategy. In this role, you'll ensure our development platform and tools let engineers focus on innovation instead of infrastructure. You'll promote observability best practices and automate resolution of recurring issues, working closely with software engineering teams to support security, availability, and performance. Responsibilities include triaging issues, collaborating … maintain systems for high availability, scalability, and performance. \n Monitor and improve application reliability through proactive measures and incident response. \n Develop and maintain observability solutions (metrics, logging, tracing). \n Participate in on-call rotations and drive root cause analysis for incidents. \n Collaboration & Continuous Improvement Partner with engineering ...

platform strategy. In this role, you'll ensure our development platform and tools let engineers focus on innovation instead of infrastructure. You'll promote observability best practices and automate resolution of recurring issues, working closely with software engineering teams to support security, availability, and performance. Responsibilities include triaging issues, collaborating … maintain systems for high availability, scalability, and performance. \n Monitor and improve application reliability through proactive measures and incident response. \n Develop and maintain observability solutions (metrics, logging, tracing). \n Participate in on-call rotations and drive root cause analysis for incidents. \n Collaboration & Continuous Improvement Partner with engineering ...

important to us. Job Description Mandatory Skills Plat Engineering for on‐premises & cloud, IaC, CI/CD pipeline & tools, security, network, landing zones, observability, self‐servicing, DB automation Role Purpose Lead the design, build, and operational excellence of the organisation’s cloud platform across private and public cloud environments. … coach 2 Cloud Platform Engineers, establish coding standards, conduct architecture reviews, and drive knowledge sharing Collaborate with SRE and Security teams to embed reliability, observability, and compliance into the platform from the ground up Produce architectural decision records (ADRs), runbooks, and platform documentation for operational excellence Technical Skills & Expertise Expert ...