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Argocd Jobs in Florida (NOW HIRING)

Senior Agentic (AI) Engineer

Miami, FL · On-site +1

$99K - $137K/yr

AWS, Kubernetes (EKS), ArgoCD, Terraform * Evals & Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog Requirements * 5+ years of software engineering experience, with 2+ years ...

Systems Engineer

Gainesville, FL · On-site

$71K - $119K/yr

Knowledge of container orchestration tools like Kubernetes, Helm, or ArgoCD. * Have support and troubleshooting skills in cloud and containerized environments. * Possess a proactive approach to ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

AWS, Kubernetes (EKS), ArgoCD, Terraform * Evals & Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog Requirements * 5+ years of software engineering experience, with 2+ years ...

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

AWS, Kubernetes (EKS), ArgoCD, Terraform * Evals & Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog Requirements * 5+ years of software engineering experience, with 2+ years ...

Systems Engineer

Gainesville, FL · On-site

$71K - $119K/yr

Knowledge of container orchestration tools like Kubernetes, Helm, or ArgoCD. * Have support and troubleshooting skills in cloud and containerized environments. * Possess a proactive approach to ...

Systems Engineer

Gainesville, FL · On-site

$71K - $119K/yr

Knowledge of container orchestration tools like Kubernetes, Helm, or ArgoCD. * Have support and troubleshooting skills in cloud and containerized environments. * Possess a proactive approach to ...

Systems Engineer

Gainesville, FL · On-site

$71K - $119K/yr

Knowledge of container orchestration tools like Kubernetes, Helm, or ArgoCD. * Have support and troubleshooting skills in cloud and containerized environments. * Possess a proactive approach to ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

AWS, Kubernetes (EKS), ArgoCD, Terraform * Evals & Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog Requirements * 5+ years of software engineering experience, with 2+ years ...

DevSecOps Engineer

Tampa, FL · On-site

$98K - $206K/yr

Hands-on experience with CI/CD pipeline tools (GitLab CI/CD, Jenkins, ArgoCD) supporting automated deployments * Familiarity with incident response, disaster recovery, and business continuity ...

DevOpsEngineer

Wellington, FL · On-site

$49.25 - $67.50/hr

Production experience with CI/CD (GitHub Actions, GitLab CI, Jenkins, ArgoCD) and GitOps patterns. * Strong security posture: IAM, secrets management, network segmentation, vulnerability scanning ...

Showing results 41-60

Argocd information

What is the difference between Argocd vs Kubernetes Administrator?

AspectArgocdKubernetes Administrator
Primary RoleContinuous delivery and deployment automation for KubernetesManaging, configuring, and maintaining Kubernetes clusters
Required SkillsGitOps, YAML, Kubernetes, CI/CD pipelinesKubernetes architecture, cluster management, networking, security
CertificationsCertified Kubernetes Application Developer (CKAD), GitOps certificationsCertified Kubernetes Administrator (CKA), CKS
Work EnvironmentDevOps teams, cloud environments, automation pipelinesCluster operations, infrastructure management, troubleshooting

While Argocd focuses on automating Kubernetes deployments through GitOps practices, Kubernetes Administrators handle the overall management and maintenance of Kubernetes clusters. Both roles require Kubernetes knowledge but serve different functions within the DevOps ecosystem.

How does Argocd work?

Argocd is a declarative continuous delivery tool for Kubernetes that automates application deployment and management. It synchronizes application states defined in Git repositories with live environments, enabling version control, automated updates, and rollback capabilities. Users typically need knowledge of Kubernetes, Git, and YAML configurations to effectively operate Argocd.
What are popular job titles related to Argocd jobs in Florida? For Argocd jobs in Florida, the most frequently searched job titles are:
Infographic showing various Argocd job openings in Florida as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution.

Senior Agentic (AI) Engineer

Worth AI

Miami, FL • On-site, Remote

$99K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Job description

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that automate KYB, underwriting, and risk decisions on regulated financial data. You'll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams.

Responsibilities
  • Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) for onboarding, underwriting, case review, and continuous monitoring.
  • Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks.
  • Build the retrieval layer powering our agents - chunking, hybrid search, reranking, and grounded citation.
  • Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage.
  • Expose agents to production systems via well-typed tools and MCP servers. Treat tool surface area as a product.
  • Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and on-call playbooks for agent incidents.
  • Partner with security and compliance to keep agents inside SOC 2, GDPR, CCPA, and fair-lending posture - auditability and explainability built in, not bolted on.
  • Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.
  • Technology Stack
    • Languages: Python, Node.js, TypeScript
    • Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP, OpenAI SDK
    • Models: Anthropic Claude, OpenAI, open-weight where appropriate
    • Retrieval & Data: PostgreSQL, pgvector, OpenSearch, Kafka, Redshift, Redis
    • Infra: AWS, Kubernetes (EKS), ArgoCD, Terraform
    • Evals & Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog

Requirements

  • 5+ years of software engineering experience, with 2+ years building production LLM or agentic systems (not just notebooks or demos).
  • Hands-on experience with a modern agent framework (LangGraph strongly preferred) and a track record of shipping agents that run, fail gracefully, and recover.
  • Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding - and judgment about when RAG isn't the right answer.
  • Real eval experience golden sets, offline and online evaluations, used to make ship/no-ship calls.
  • Production MLOps fluency: deployed LLM workloads under real latency, cost, and reliability constraints.
  • Strong Python; comfortable in TypeScript / Node.js.
  • Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system failure modes.
  • Calibrated communicator; thrives in ambiguous, fast-moving environments.
  • Prior experience in fintech, lending, payments, KYB/KYC, fraud, or AML.
  • Experience building MCP servers or other structured tool interfaces for LLMs.
  • Background in classical ML (ranking, scoring, calibration).
  • Experience designing explainable / auditable AI workflows for regulated environments.
  • Open-source contributions to agent frameworks, eval tooling, or retrieval libraries.
  • AWS depth (EKS, MSK, RDS, S3, Lambda) and IaC with Terraform.
Success Metrics
  • Agent Quality: Measurable improvements in task success rate, grounding accuracy, and hallucination rate on our eval suites.
  • Production Reliability: Agents you own meet defined SLOs for latency (P90/P99), tool-call success, and cost per task.
  • Velocity: New agent capabilities go from prototype to production in weeks, without skipping evals or guardrails.
  • Risk Posture: Zero material incidents tied to prompt injection, PII leakage, or unsafe tool use on agents you own.
  • Force Multiplier: Patterns, tools, and eval scaffolding you build get adopted across engineering.

All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration, in addition to orientation in Orlando.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance
  • Flexible Paid Time Off
  • 9 paid Holidays
  • Family Leave
  • Remote
  • Hybrid work (for Orlando Associates)
  • Free Food & Snacks (Orlando)
  • Wellness Resources