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Devops engineer • hialeah fl
Senior DevOps Engineer, Infrastructure & Reliability
Worth AIMiami, FL, USDevOps Engineer
University of MiamiMiami, FLDevops Engineer
Bright Vision TechnologiesMiami, FL, USRemote Join Expert Network: DevOps / Platform Engineer - AI Trainer ($70-$150 per hour)
MercorNorth Miami, Florida, USEngineer
GA Telesis, LLCMedley, FL, USNuclear Engineer
US NavyMiami, FL, United StatesTransportation Engineer
GpacMiami, Florida, United StatesData Engineer
GTNMiami, FLElectrical Engineer
Hatch Global SearchMiami, Florida, USEngineer
Betsy Hospitality Management, LLCMiami Beach, Florida, United States, 33139ML Engineer (Machine Learning Engineer)
Betterpros LLC,Brickell Ave, Miami, FL , EE. UU.Field Engineer
Keller North AmericaMiami, FL, USSenior DevOps Engineer (AWS) — ML Pipelines & FinOps
SherlockTalentMiamiEngineer
RMG StaffingMiami, FL, USForensic Engineer
The Falcon GroupMiami, FL, US- Promoted
DevOps Engineer
University of MiamiMiami, FL, United StatesAI DevOps Engineer.
Millennium ManagementMiami, Florida, US of AmericaDevOps Engineer Senior
City National Bank of FloridaMiami, FL, USEngineer
FedExMiami, Florida, USThe average salary range is between $ 95,000 and $ 151,125 year , with the average salary hovering around $ 133,985 year .
- truck driving (from $ 31,200 to $ 232,145 year)
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- independent contractor (from $ 29,250 to $ 197,600 year)
- cable installation technician (from $ 31,239 to $ 195,000 year)
- veterinarian (from $ 142,500 to $ 180,000 year)
- engineering (from $ 82,500 to $ 172,100 year)
- administrative director (from $ 39,000 to $ 170,235 year)
- product owner (from $ 110,000 to $ 160,000 year)
- freelance (from $ 36,075 to $ 159,250 year)
- software engineer (from $ 110,000 to $ 155,375 year)
- Billings, MT (from $ 120,850 to $ 208,114 year)
- Beaumont, TX (from $ 141,375 to $ 205,592 year)
- Chula Vista, CA (from $ 135,000 to $ 195,000 year)
- Warren, MI (from $ 100,880 to $ 193,800 year)
- Santa Ana, CA (from $ 130,000 to $ 193,725 year)
- Santa Maria, CA (from $ 130,000 to $ 193,710 year)
- Santa Clarita, CA (from $ 130,000 to $ 193,643 year)
- Santa Rosa, CA (from $ 130,000 to $ 193,314 year)
- Joliet, IL (from $ 162,513 to $ 192,208 year)
- Palm Bay, FL (from $ 128,688 to $ 190,044 year)
The average salary range is between $ 109,997 and $ 165,000 year , with the average salary hovering around $ 129,990 year .
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Senior DevOps Engineer, Infrastructure & Reliability
Worth AIMiami, FL, US- Full-time
- Remote
- Quick Apply
Worth AI, a leader in the computer software industry, is looking for a Senior DevOps Engineer to join our Infrastructure team with a singular mission: to make our systems faster, more reliable, and more resilient while making life dramatically easier for engineers shipping software. In this role, you won’t just manage infrastructure; you will design and evolve the foundation that every product and engineer depends on.
You will act as a force multiplier by eliminating operational friction, automating repetitive processes, strengthening system reliability, and building scalable infrastructure patterns that allow teams to deploy confidently and recover quickly. You are part architect, part reliability engineer, and part automation evangelist.
Responsibilities
- Conduct regular interviews with engineering teams to identify operational pain points in CI/CD, deployments, observability, and cloud environments and proactively eliminate them.
- Design and implement scalable Infrastructure-as-Code patterns using tools like Terraform to standardize cloud provisioning and reduce configuration drift.
- Own and evolve our Kubernetes platform (EKS or self-managed), ensuring workloads are secure, scalable, and resilient by default.
- Architect and optimize CI/CD pipelines to improve deployment frequency, reduce lead time, and increase confidence in releases.
- Lead systemic reliability initiatives, including incident response improvements, root cause analysis practices, and postmortem frameworks.
- Design and enforce secure networking, IAM, and secrets management strategies across environments.
- Improve observability by refining metrics, logs, and tracing using tools like DataDog, ensuring actionable insight into system health.
- Optimize cloud cost efficiency through rightsizing, autoscaling strategies, and architectural improvements.
- Own disaster recovery planning, backup strategies, and multi-region resilience initiatives.
- Refactor brittle or manually managed infrastructure into automated, testable, and reproducible systems.
- Introduce new infrastructure tooling or architectural shifts and drive adoption through documentation, workshops, and hands-on support.
- Lead by example in incident management, risk mitigation, and operational excellence.
- Communicate technical trade-offs clearly across engineering and product stakeholders, balancing speed with safety.
Technology Stack
- Cloud & Infrastructure: AWS (EKS, RDS, MSK, S3, Lambda, IAM, VPC)
Containerization & Orchestration: Kubernetes, ArgoCD
Infrastructure-as-Code: Terraform
CI/CD: GitHub Actions (or equivalent)
Monitoring & Observability: DataDog
Data & Messaging: PostgreSQL, Kafka, Redis
Languages (as needed): Bash, Python, TypeScript
Requirements
- 8+ years of experience in DevOps, SRE, or Infrastructure Engineering roles.
- Proven experience designing and operating production Kubernetes environments at scale.
- Deep hands-on expertise with AWS infrastructure and cloud networking.
- Strong experience building and maintaining Terraform modules across large cloud environments.
- Demonstrated ownership of CI/CD systems and measurable improvement of DORA metrics.
- Experience leading incident response processes and driving meaningful postmortem outcomes.
- Strong understanding of distributed systems, event-driven architectures (Kafka), and database performance (PostgreSQL).
- Proven ability to modernize legacy infrastructure and eliminate manual operational toil.
- Experience navigating high-ambiguity environments and translating operational friction into prioritized infrastructure roadmaps.
- Demonstrated ability to build trust across teams while raising the reliability bar.
Success Metrics
- DORA Metrics Improvement:
- Drive measurable improvements in Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery (MTTR).
- System Reliability:
- Maintain or exceed defined SLO/SLA targets with reduced incident frequency and duration.
- Infrastructure Stability:
- Reduce production incidents caused by misconfiguration, manual processes, or infrastructure drift.
- Operational Efficiency:
- Increase percentage of infrastructure managed through code and automation.
- Cost Optimization:
- Improve cloud cost efficiency without sacrificing reliability or performance.
Bonus Points (Nice to Have)
- Experience operating high-throughput Kafka clusters (MSK or self-managed).
- Strong background in database performance tuning (PostgreSQL, Redis).
- Experience implementing autoscaling strategies for high-traffic systems.
- Familiarity with service mesh technologies.
- Experience building internal developer platforms (IDP).
- Background in security best practices (zero-trust networking, policy-as-code).
- Experience with multi-region or globally distributed systems.
- Proficiency in Python for automation and tooling development.
- Experience introducing platform-wide reliability frameworks (SLOs, error budgets, chaos testing).
** 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, Florida.
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance
- Flexible Vacation
- Work From Home
- Free Food & Snacks (in office)
- Orlando, Florida (Hybrid)
- Wellness Resources