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Devops In Jobs in Puerto Rico (NOW HIRING)

CTO - Chief Technology Officer

San Juan, PR · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Deep understanding of DevOps practices, software development lifecycles, and audit frameworks. * Expertise in cloud infrastructure (GCP preferred), security operations, and data governance.

CTO - Chief Technology Officer

San Juan, PR · On-site

$160 - $240/hr

  • Retirement

Deep understanding of DevOps practices, software development lifecycles, and audit frameworks. * Expertise in cloud infrastructure (GCP preferred), security operations, and data governance.

Bachelor's degree in Engineering, Sciences, or related fields. * Over 10 years of experience managing manufacturing plant operations, preferably in medium- to high-complexity food industry ...

Showing results 21-40

Devops In information

What is the difference between Devops In vs Software Engineer?

AspectDevops InSoftware Engineer
CredentialsCertifications like AWS, Docker, Kubernetes; relevant experience in automation and cloudComputer science degree; programming skills; software development certifications
Work EnvironmentCollaborates with development, operations, and QA teams; focuses on deployment pipelines and infrastructurePrimarily develops, tests, and maintains software applications; works in coding environments
Industry UsageUsed across tech, finance, healthcare for deployment and infrastructure managementUsed across all software development sectors for building applications

Devops In and Software Engineer roles overlap in technical skills but differ in focus. Devops In emphasizes deployment, automation, and infrastructure, while Software Engineers focus on coding and application development. Both roles are vital in tech organizations, often collaborating to deliver robust software solutions.

Are DevOps still in demand?

DevOps engineers are currently in high demand due to the need for continuous integration, automation, and efficient software deployment. Organizations seek professionals skilled in tools like Docker, Kubernetes, and cloud platforms to improve operational efficiency and scalability.

Is AI replacing DevOps?

AI is augmenting DevOps practices by automating tasks such as monitoring, testing, and deployment, but it is not replacing the role entirely. DevOps professionals are still essential for designing, managing, and optimizing complex systems, with AI serving as a tool to improve efficiency and reliability. Skills in scripting, automation tools, and cloud platforms remain critical for DevOps roles.

Is DevOps a high paying job?

DevOps engineers typically earn higher-than-average salaries due to their expertise in automation, cloud platforms, and tools like Docker and Kubernetes. Compensation varies by experience, location, and industry, but it is generally considered a well-paying role in the tech field.

What do DevOps jobs do?

DevOps jobs involve combining software development and IT operations to improve the efficiency, reliability, and automation of software delivery. Professionals in this role typically work with tools like Jenkins, Docker, and Kubernetes, and focus on continuous integration, continuous deployment, and infrastructure management to streamline development workflows.

What are popular job titles related to Devops In jobs in Puerto Rico?

For Devops In jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Devops In jobs in Puerto Rico look for?

The top searched job categories for Devops In jobs in Puerto Rico are:

Infographic showing various Devops In job openings in Puerto Rico as of August 2026, with employment types broken down into 89% Full Time, 3% Part Time, and 8% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution.

$53.50 - $70.50/hr

Full-time

Re-posted 13 days ago


Job description

Senior AI Software DeveloperThis role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

The Senior AI Engineer owns end-to-end delivery of AI features-from design to production-while raising the engineering bar through code quality, reliability, and mentoring. The engineer will convert architecture into robust implementations, proactively manage risks, and ensure observable, secure, and performant AI systems. Important to have Good Networking knowledge

Responsibilities:
Solution Engineering & Delivery

  • Translate high-level designs into clear component contracts, APIs, and service boundaries.
  • Implement LLM integrations, RAG pipelines, agents, tool/function calling, and prompt strategies.
  • Own feature delivery for sprints/releases; maintain high code quality and documentation.

Modeling & Evaluation

  • Fine-tune models when needed; design evaluation harnesses and metrics.
  • Build A/B testing setups; track accuracy, latency, robustness, and task success rates.
  • Conduct error analysis; iterate using feedback efficacy loops and prompt refinement.

Data & Retrieval Engineering

  • Build ETL/ELT pipelines; curate datasets with metadata, lineage, and validation.
  • Implement vector indexing (chunking, embeddings, reranking), tune chunk size & overlap.
  • Enforce data governance: PII handling, redaction, consent, auditability.

MLOps & Platform Readiness

  • Containerize workloads (Docker); orchestrate deployments (Kubernetes/Helm).
  • Own CI/CD for ML: train evaluate package deploy monitor rollback.
  • Maintain model/agent registries, experiment tracking, and reproducible environments.

Software Engineering & Integration

  • Build microservices and async inference paths; support batch/stream processing.
  • Integrate with enterprise auth, observability, telemetry, and logging.
  • Write unit/integration/e2e tests, performance benchmarks, and failure-injection tests.

Observability, Reliability & Performance

  • Instrument with metrics/logs/traces; define SLOs (latency, throughput, error rate).
  • Optimize inference: batching, caching (KV cache), quantization, token efficiency.
  • Implement guardrails (safety filters, jailbreak detection), auto-evals and alerts.

Security & Compliance

  • Apply secure coding practices; manage secrets, encryption, and least privilege.
  • Ensure compliance (data residency, consent, audit trails); respect IP policies.
  • Enforce policy-based access and content safety in user-facing features.

Collaboration & Mentoring

  • Review designs/PRs; coach L3 engineers on best practices.
  • Coordinate with AI Architects, Data Engineers, QA, and Product.

Education and Experience Required:

  • Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
  • Typically, 7-10 years' experience.

Knowledge and Skills:

  • LLMs & Agents: Prompt engineering, function/tool calling, orchestration frameworks, RAG.
  • ML/DS: Evaluation metrics (precision/recall, BLEU/ROUGE where relevant), error analysis.
  • Data/RAG: Embeddings, similarity (cosine/IP), chunking, rerankers, vector DB operations.
  • Backend: Python (FastAPI/Flask), microservices patterns.
  • MLOps/Infra: Docker, Kubernetes, CI/CD, artifact management, GPU scheduling.
  • Observability: Metrics/logging/tracing, dashboards, automated evaluation pipelines.
  • Frameworks: PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex.
  • Data: Pandas, SQL/NoSQL, Parquet/Arrow, Kafka/queues.
  • Vector DBs: FAISS, Milvus, pgvector, Pinecone, Weaviate.
  • Ops: GitHub Actions/Azure DevOps, MLFlow/W&B

#LI-Hybrid

Additional Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#puertorico#networking

Job:

Engineering

Job Level:

TCP_04

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendorswill never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.