201 to 225 of 1,539 Observability Jobs

Kong API Gateway or similar Exposure to Aurora PostgreSQL or DynamoDB Knowledge of microservices architectures Exposure to security concepts (IAM, encryption, networking) Experience with observability tooling (OpenTelemetry, Honeycomb, Grafana) Special Factors Vanguard is not offering visa sponsorship for this position This is a hybrid position and would require ...

tooling. Experience with detection engineering, creating and managing data streams (Cribl, Kinesis) and SIEM tooling (Splunk, QRadar, Sentinel, ArcSight) , or building alerting/observability for security events from across an enterprise. Experience setting up segregated and secured hypervisor environments for the testing of potentially malicious software or code. Broader Skills ...

large‐scale production environments Strong software engineering expertise in Python, including backend development, API design, and distributed systems Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud‐native AI deployment architectures Excellent communication, stakeholder management, and problem‐solving skills within agile delivery environments Bonus Points For Experience ...

Knowledge in developing and deploying scalable models on Databricks, Azure, and AWS, leveraging tools such as FastAPI and Docker. Proficient in model tracing and observability for LLM in production and implementing evaluation frameworks for model quality and reliability. Strong understanding of software engineering best practices, including version control, testing ...

large-scale production environments Strong software engineering expertise in Python, including backend development, API design, and distributed systems Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud-native AI deployment architectures Excellent communication, stakeholder management, and problem-solving skills within agile delivery environments Bonus Points For Experience ...

approach: automated unit, integration, end-to-end, and acceptance testing are core to delivery.* Own SRE and DevOps outcomes as a top priority: reliability, observability, operability, CI/CD health, and continuous improvement are part of day-to-day ownership.**Scope of the Role*** Work profile: approximately 80% hands ...

retrieval evaluation. Familiarity with GraphRAG and agentic RAG. LLMOps, Evaluation & Responsible AI – operationalizing LLM and agentic systems at scale; evaluation harnesses, quality metrics, observability, tracing and monitoring (LangSmith, LangFuse); guardrails, red‐teaming and continuous optimization of accuracy, cost and latency. Understanding of AI governance, security, privacy, bias/fairness ...

VPNs, and low‐latency/high‐bandwidth fabrics) and storage for the throughput and latency that ML and hardware workloads require. Own reliability and observability: implement monitoring, alerting, and capacity planning, and drive availability and performance across hybrid cloud and on‐prem environments. Own platform security: implement identity and access ...

number of different cloud native operators. As our platform matures and scales, we need to ensure our custom operators remain fit for purpose. Improve observability of our networking components to meet SLOs. Lead troubleshooting of production workloads for customers and during incidents. Develop secure, high‐quality production code, and review ...

cost optimization through best practices and automation. Collaborating with data scientists, developers, security teams, and business stakeholders to deliver enterprise-grade AI solutions. Implementing observability, monitoring, and incident management processes to maintain platform performance and availability. Evaluating and integrating emerging technologies in Generative AI, platform engineering, and cloud-native ecosystems ...

systems from our legacy systems, paying down technical debt where it matters Support services including Kafka, Postgres (Aurora), MongoDB, and identity (Keycloak) Improve observability using tools such as Datadog to reduce firefighting over time Collaborate closely with engineers to make systems easier to build, deploy, and operate, streamlining the entire ...

enable repeatable releases Develop reusable engineering assets (libraries, templates, reference architectures, infrastructure-as-code patterns) to reduce technical debt and accelerate delivery Implement observability for AI services (logging/metrics/tracing), model performance monitoring, and quality/drift checks with actionable alerting Partner with data scientists, data engineers, platform ...

DHCP, and IPAM. Familiarity with infrastructuregovernance, cost optimisation, and operational management frameworks(e.g., Azure Well-Architected Framework, FinOps). Hands-on experience withmonitoring, observability, and logging platforms (e.g., Dynatrace, AzureMonitor, Prometheus, Grafana, Splunk) to ensure performance, availability,and resilience . Experience implementing highavailability, disaster recovery, and business continuity strategies acrosscritical ...

/CD by contributing to pipeline work, writing automated tests, and adopting trunk-based development as the default way of working. Build with observability in mind from the start, covering instrumentation, logging, and monitoring so that your team can see what their systems are doing in production. Contribute ...

strong plus Experience with External Secrets Operator, Vault, or similar secret sync patterns is beneficial Familiarity with Terraform, multi cloud environments (GCP and Azure), observability tooling (e.g. New Relic, Datadog, Prometheus, Grafana), or contract testing with Pact would be valuable What you can expect from us We won't just ...

beneficial: AWS SageMaker, Bedrock, Lambda, ECS, EKS, Step Functions, EventBridge, CloudWatch, IAM, S3, ECR, or related services. MLflow, model registries, feature stores, model observability, drift detection, and automated retraining patterns. AIOps use cases such as anomaly detection, incident enrichment, automated ticket creation, event correlation, alert deduplication, or operational intelligence. Building ...

agentic AI solutions to production standard within a defined technical approach. Implement and test tool use, retrieval pipelines, and agent workflows. Contribute to evaluation, observability and guardrails for agentic systems, identifying operational requirements for logging, instrumentation and alerting. Instrument solutions to capture outcome data against established baselines. Integrate AI capabilities ...

Terraform/Pulumi), and multi‐cloud data governance. Fluency in modern infrastructure concepts: hybrid cloud architectures, software‐defined storage, disaster recovery as code, and observability stacks. Ability to engage credibly in security framework discussions—Zero Trust, NIST CSF, CIS Controls, SOC 2, and regulatory environments (GDPR, HIPAA, FedRAMP). Experience ...

matter, and you design controls in rather than bolting them on. Familiarity with PCI DSS is a strong plus. Engineering excellence: A focus on observability and measurement: you instrument what you build and answer operational questions with data rather than opinion. Leadership and mentorship: A natural ability to guide ...

Experience with React is ideal but not required. Experience with CI/CD pipelines and modern DevOps practices including Infrastructure As Code (IaC) and observability such as metrics, monitoring, traces and alerting. Test-first mindset and able to lead other engineers on what good looks like regarding unit/integration ...

agentic AI solutions to production standard within a defined technical approach. Implement and test tool use, retrieval pipelines, and agent workflows. Contribute to evaluation, observability and guardrails for agentic systems, identifying operational requirements for logging, instrumentation and alerting. Instrument solutions to capture outcome data against established baselines. Integrate AI capabilities ...

least one of AWS, Azure, Cloudflare, or Vercel—with Docker, Kubernetes, and GitHub Actions. A no-compromise attitude on clean code, TDD, security, observability, scalability, performance, and cost. A deep working understanding of how LLMs behave—and where they break—and how to optimize accuracy, latency, and cost. Clear writing ...

Proficiency in overseeing multi-model data environments, including relational (MS SQL, PG SQL) and NoSQL (MongoDB) databases, alongside data integration pipelines (Snowflake, FiveTran).* Observability & Security Integration: A proactive approach to system health (New Relic), security compliance (Snyk, Auth0), and incident management (PagerDuty, FlagSmith).****Technical & Mobile Platform Strategy ...

Proficiency in overseeing multi-model data environments, including relational (MS SQL, PG SQL) and NoSQL (MongoDB) databases, alongside data integration pipelines (Snowflake, FiveTran). Observability & Security Integration: A proactive approach to system health (New Relic), security compliance (Snyk, Auth0), and incident management (PagerDuty, FlagSmith). Technical & Mobile Platform Strategy ...

guardrails for AI-enabled development; evaluate emerging technologies for practical application. Design scalable, event-driven applications, services and REST APIs; improve CI/CD, observability and deployment automation. Design with performance, memory efficiency, capacity and reusability in mind, conducting capacity analysis and management while partnering with infrastructure/platform teams ...