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Java jobs in United States
Principal SRE – Cloud Automation & AI Platforms (Zapopan)
Ll Oefentherapie
Jalisco
On-site
MXN 1,441,000 - 2,163,000
30+ days ago
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Discover more opportunities than anywhere else. Find more jobs nowStaff Software Engineer, Cloud Infrastructure
Outset Medical
Tijuana
Hybrid
MXN 2,195,000 - 2,745,000
30+ days ago
Mid Full Stack Engineer (NestJS / Python)
FusionHit
Ciudad de México
On-site
MXN 732,000 - 1,099,000
30+ days ago
Connect with headhunters to apply for similar jobsProfessional Services Consultant - Americas (MX-based)
Innovative Systems
Ciudad de México
Hybrid
MXN 400,000 - 600,000
30+ days ago
Senior Software Engineer with Accounting Experience (LATAM)
Sezzle
Ciudad de México
Hybrid
MXN 600,000 - 800,000
30+ days ago
Senior Solutions Architect
NTT DATA, Europe & LATAM, Branch in USA, Inc.
Ciudad de México
Remote
MXN 1,485,000 - 2,043,000
30+ days ago
Senior Software Engineer - Labor Management
Zenput
Región Centro
On-site
MXN 1,656,000 - 2,210,000
30+ days ago
Principal Service Reliability Applications Developer
Ll Oefentherapie
Región Centro
On-site
MXN 1,839,000 - 2,392,000
30+ days ago
Principal SRE - Cloud Automation & AI Platforms
Ll Oefentherapie
Jalisco
On-site
MXN 1,441,000 - 2,163,000
Full time
30+ days ago
Job summary
A leading cloud solutions provider is seeking a skilled SRE with AI/ML expertise and robust application engineering skills. The role includes end-to-end service ownership, incident management, and developing solutions with large language models. Candidates should have over 10 years of experience in software engineering in cloud environments, with strong skills in distributed systems, Java/Python, and automation. This position is based in Mexico, Jalisco, and requires proficiency in English.
Qualifications
- 10+ years of software engineering experience in cloud environments.
- Strong in distributed systems/microservices with Java/Python and SQL.
- Proven SDLC excellence with a focus on code quality and CI/CD.
Responsibilities
- Design end-to-end service ownership focusing on telemetry, security, and performance.
- Lead incident management and postmortems to improve service reliability.
- Develop and optimize solutions for AI/ML deployment and operations.
Skills
Software engineering
AI/ML expertise
Java/Python programming
SQL/Data modeling
SRE/DevOps expertise
Excellent communication
Education
BS/MS in Computer Science or related field
Tools
Cloud and containers
Observability tools
DevOps tooling
CI/CD tools
Job description
This role requires a SRE mindset combined with AI/ML expertise and strong application engineering skills across public and private cloud environments.
Qualifications
Career Level - IC4
Key Responsibilities
- End-to-end service ownership: design for telemetry, security, resiliency, scalability, and performance; lead sizing/architecture; drive service health reviews and process simplification.
- Incident management and prevention: lead postmortems/RCAs, coordinate fixes, define repair items, and implement data-driven prevention and continuous improvement.
- AI/ML and GenAI delivery: design and integrate solutions with LLMs, RAG, agentic workflows, and conversational AI; build low-latency model serving and retraining pipelines.
- Application engineering: develop performant microservices for distributed, containerized, cloud-native systems.
- Automation: eliminate toil by automating operational workflows, recovery procedures, code delivery, and configuration management; build internal tools and reusable scripts/services to accelerate delivery and reduce errors.
- Observability: define and implement monitoring, logging, alerting, and tracing strategies; establish SLOs/SLIs/error budgets; improve diagnostics and performance visibility for rapid triage.
- Cross-functional collaboration: partner with product, operations, and data teams to translate requirements into secure, scalable solutions; communicate effectively with technical and non-technical stakeholders.
Minimum Qualifications
- BS/MS in Computer Science or related field; 10+ years of software engineering in cloud environments.
- Strong in distributed systems/microservices using java / python; SQL/data modeling; python for AI/automation.
- SRE/DevOps expertise: systems and networking fundamentals, application security, observability, performance analysis, and incident response.
- Proven SDLC excellence: code quality, reviews, version control, CI/CD, testing, and release engineering.
- Excellent written and verbal communication; English fluency.
Preferred/Technical Skills
- AI/ML/GenAI: experience with foundational models, RAG, agentic architectures; model deployment, optimization, monitoring, and retraining.
- Cloud and containers: experience with containerization, orchestration, and resilient, fault-tolerant microservices.
- Observability: hands-on experience designing dashboards, alerts, traces, logs, and metrics; defining SLOs/SLIs and error budgets; on-call readiness and runbook quality.
- Operations: performance tuning across java / python and SQL for large-scale enterprise applications; strong Linux/Unix expertise; capacity planning and reliability reviews.
- Automation and scripting: proficiency in scripting to automate operational workflows, build tooling, and CI/CD tasks (e.g., shell scripting, python, configuration-as-code, task runners).
- Familiarity with enterprise ERP applications and standard DevOps tooling and practices.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.