DevOps Engineer (Cloud & CI/CD Platforms)

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We are looking for proactive engineers with a strong desire to learn, a problem-solving mindset, and a clear customer-first attitude. As part of a global Siemens organization, you will work closely with international teams to support and continuously improve Siemens Digital Industries Software solutions, playing a key role in ensuring stability, performance, and customer satisfaction across our application landscape.

Key Responsibilities:
Depending on the area of the team you join, your responsibilities may include supporting the operation, maintenance, and incident resolution of Siemens software solutions in the cloud or contributing to the development of customer-specific customizations and enhancements. Our primary focus areas include Teamcenter and Opcenter, and you will be exposed to real-world production environments, global customers, and collaborative, follow-the-sun operations—making this role an excellent opportunity to grow both technically and professionally within a high-performing global team.

Qualifications:

• High level of written and spoken English.
• Bachelor’s degree in computer science or a related field.
• Availability to work on-site during the initial training period.
• Candidates based in Mexico City or Monterrey (preferred)
• Minimum of 3 year of professional experience is preferred.
• Previous experience with Siemens Software such as Teamcenter and Opcenter or similar is highly desirable.

Technical Skills

• Strong Software development background in Python, C and C++, HTML5, CSS2, modern JavaScript (NodeJS/NPM), ReactJS
• Experience with databases and query languages (SQL)
• Familiarity with CyberArk and VirtualBox (Nice to have)

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Qualified Applicants must be legally authorized for employment in Mexico. Qualified Applicants will not require employer sponsored work authorization now or in the future for employment in Mexico.

Why us?
Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!

Siemens Software.
Transform the Everyday
#SWSaaS

Please submit your resume in English - we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (C++, Python), or 1 year of experience with an advanced degree in an industry setting.

Preferred qualifications:

• Experience with compilers or toolchains.
• Experience with low level programming, Android, iOS, macOS, or Windows development.
• Knowledge of LLVM.

About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will work very closely with other executive Software Engineers (SWEs) on the team in developing features in the space of Low Level Virtual Machines (LLVM) optimization and code generation that support (but not limited to) build scalability, toolchain velocity, peak performance and safety. You will develop infrastructure changes (updating our tools and scaling our processes using AI/automation) that help us deliver C++ toolchain always correct and efficient + make the necessary changes upstream in LLVM toolchain that aligns with Google's needs and interests.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Collaborate with teams to improve LLVM and related technologies to provide google developers with toolchain and releases.
• Work with other executive SWEs and Team Leads (TLs) on the team developing features and improvements to LLVM that support Google long-term needs.
• Build agentic tools that automate engineering processes - focusing on building automated self-maintaining infrastructure to eliminate development toil.
• Lead design reviews + Participate in team Objectives and Key Results (OKR) planning and roadmap definition.
• Identify problems that need to be solved through direct exchange with our customers.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

About EarnIn

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

POSITION SUMMARY

We are the Platform-as-a-Service Engineering team at EarnIn. We build the foundational "Paved Road" that enables our product teams to ship with velocity and safety. Our stack is built on AWS, EKS, and ArgoCD, but our future is
Agentic
. We are shifting from manual configuration to AI-augmented orchestration, where the platform anticipates developer needs and self-heals through intelligent automation.

We're seeking a Senior Platform Engineer to design, build, and operate the agentic systems and core infrastructure that power our platform. You will work across Kubernetes (AWS EKS), GitOps (Argo CD), CI/CD (GitHub Actions), and our developer portal (Cortex), building AI agents and automation that reduce operational toil and increase platform leverage for engineering teams across EarnIn. As a Senior engineer, you independently design and implement solutions for well-scoped but complex problems, re-architecting components, adopting new technologies, and improving existing processes with minimal guidance. You'll build agents that handle real slices of incident triage, environment provisioning, config generation, and developer self-service, and you'll partner with Staff engineers and your manager to align your work with the team's broader technical direction.

Come make a difference with us and have fun doing it! This position is ideally hybrid from our Mexico City office as part of our expanding site, though remote can be considered. EarnIn offers excellent benefits, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View, CA headquarters. Our salary ranges are determined by role, level, and location.

WHAT YOU'LL DO

• AI-Agent Design and Build:
  Design, build, and operate AI agents in production, following established governance patterns for model selection, evaluation, and safety. Contribute to infrastructure-as-code practices for agentic systems, ensuring prompts, tools, and evaluation criteria are versioned, reviewed, and tested like any other critical component.
• Technical Execution:
  Implement agentic patterns for cloud infrastructure in your area of ownership, applying and helping refine team best practices for production AI agents. Support and mentor less experienced engineers on agentic patterns, LLM integration, and prompt engineering as opportunities arise.
• Platform Operations:
  Operate and improve high-availability distributed systems on AWS, identifying and resolving performance, scalability, and stability issues within your domain. Use AI-driven observability and anomaly detection to catch problems early. Evolve infrastructure-as-code and automation standards for the services you own, incorporating agentic pattern recognition and automated remediation where it adds value.
• Developer Platform:
  Contribute to the evolution of our developer control plane (Cortex) as an AI-augmented self-service platform, building features that let engineers scaffold services, debug deployments, and resolve issues through natural language. Help encode platform standards and security policies into AI-powered golden paths.
• Reliability and Documentation:
  Document agentic architecture, best practices, and operational procedures for the systems you build. Participate in on-call rotations and use post-mortems as a feedback loop to improve system reliability and your team's agentic automation.

WHAT WE'RE LOOKING FOR

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 4+ years
  in cloud infrastructure, working on large-scale, high-availability, customer-facing distributed systems.
• Experience mentoring junior engineers and leading well-scoped platform initiatives within your team.
• Hands-on experience building and operating AI-driven systems in production
  , including agentic workflows that perform operational tasks. You should be able to speak to specific agent designs or automation you've built.
• Experience reducing operational toil through agentic AI (e.g., LLM-powered incident diagnosis, intelligent CI/CD with test selection, self-service assistants) on at least one meaningful workflow.
• Strong working knowledge of AWS
  (EKS, Lambda, Bedrock, etc.) and experience with containerized and serverless architectures.
• Solid expertise in Kubernetes at scale and ability to implement complex, resilient solutions with guidance from senior/staff engineers.
• Strong knowledge of infrastructure-as-code tools (Terraform, Ansible) and experience applying both traditional IaC and agentic automation.
• Strong command of Datadog and observability practices, using metrics to drive decisions. Experience building AI-driven alerting or root-cause analysis systems is a plus.
• Strong adherence to security, privacy, and compliance best practices, with awareness of governance considerations for production AI systems (model safety, prompt injection prevention, data isolation).
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex, CrewAI, or custom agentic architectures) and production prompt engineering.
• Strong coding ability in Python and/or Go
  , with experience treating infrastructure and agentic systems as software.
• Ability to collaborate effectively across engineering, product, and security teams on cross-functional work.
• Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar tools) as part of your software development workflow?
• Experience with service mesh (Linkerd, Istio) and traffic management at scale is a plus.
• Proficiency with GitOps (Argo CD, Flux CD) and CI/CD orchestration (GitHub Actions, Argo Workflows) is a plus.
• Experience with MLOps or LLMOps concepts (model versioning, evaluation frameworks, production monitoring for AI systems) is a plus.
• Familiarity with security frameworks relevant to AI systems (guardrails, audit logging, data governance for LLMs) is a plus.

 

A Note on AI in the Hiring Process: EarnIn may use Artificial Intelligence (AI)-powered tools during the hiring process, including tools that generate summaries or notes for interviewers, review resumes, assist with scheduling, or help identify themes across candidate responses and profiles for a given role. Final hiring decisions are made by human interviewers and hiring managers. If you have any concerns about the use of AI in our hiring process, please connect with your recruiter. With your consent, EarnIn may use AI tools to help transcribe or summarize interviews. Recordings are treated as confidential candidate data and are accessible only to authorized hiring personnel. Declining to be recorded will not negatively affect your candidacy or evaluation.

 

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. 

 

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. 

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. 

Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

The Role

We are seeking a Release Engineer to own and continuously improve the systems, automation, and processes that enable reliable software delivery across our platform. This role is responsible for maintaining release infrastructure, supporting development teams, and ensuring that code moves safely and efficiently from commit to production.

The ideal candidate combines strong operational skills with a software engineering mindset, using automation to reduce friction, improve reliability, and enhance the developer experience.

The Release Engineer owns the path from merged code to successful production deployment. This includes CI/CD systems, deployment automation, release workflows, operational tooling, and the continuous improvement of software delivery practices across the engineering organization.

Responsibilities

Software Delivery and Release Automation

• Manage and optimize application release processes across development, staging, and production environments.
• Maintain and improve deployment workflows using SemaphoreCI, event-driven services, and web and command line interfaces.
• Partner with engineering teams to ensure releases are repeatable, observable, and low-risk.
• Support deployment planning, release readiness, and rollback procedures.
• Continuously identify opportunities to reduce manual release activities through automation.

CI/CD Platform Ownership

• Build, maintain, and enhance CI/CD pipelines supporting Ruby applications and supporting services.
• Improve build performance, deployment reliability, and pipeline efficiency.
• Develop reusable deployment templates and workflow standards.
• Troubleshoot build, test, and deployment failures across engineering teams.

Developer Enablement

• Improve the developer experience by simplifying release workflows and deployment processes.
• Provide guidance and support for release-related issues.
• Create and maintain documentation, runbooks, and operational standards.
• Partner with development teams to promote continuous delivery best practices.

Operational Excellence

• Monitor release health and deployment outcomes.
• Analyze deployment metrics and identify opportunities for improvement.
• Participate in incident response activities when release-related issues occur.
• Contribute to post-incident reviews and remediation efforts.

Collaboration

• Work closely with Software Engineering, DevOps, Database Administration, Security, and Product teams.
• Coordinate release activities that require cross-functional collaboration.
• Support organizational initiatives focused on reliability, scalability, and engineering effectiveness.

Desired Skills & Qualifications

• 3+ years of experience in Release Engineering, DevOps, Platform Engineering, Site Reliability Engineering, or a related role.
• Experience supporting CI/CD platforms in a production SaaS environment.
• Strong understanding of Git-based development workflows.
• Experience with Linux-based systems and scripting.
• Familiarity with Ruby application deployment and operational considerations.
• Strong troubleshooting and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Qualifications

• Experience with SemaphoreCI.
• Experience supporting Ruby on Rails applications.
• Experience with AWS services and cloud-native architectures.
• Familiarity with Docker and containerized workloads.
• Experience with Infrastructure as Code tools such as Terraform.
• Experience supporting Kubernetes-based deployment environments.
• Familiarity with monitoring and observability platforms.

Technical Skills

Application Delivery

• Ruby
• Ruby on Rails
• Git
• SemaphoreCI

Cloud and Infrastructure

• AWS
• Linux
• Terraform

Containerization and Orchestration

• Docker
• Kubernetes (preferred)

Automation and Scripting

• Ruby
• Bash
• Python

Monitoring and Observability

• Datadog
• CloudWatch
• Logging and tracing platforms

Success Measures

Success in this role is measured by:

• Increased deployment reliability and predictability.
• Reduced manual effort within release workflows.
• Faster recovery from deployment-related incidents.
• Improved developer satisfaction with release processes.
• Improve CI/CD reliability
• Increased deployment frequency while maintaining platform stability.

Benefits

• Privatized Medical, Dental & Vision Coverage
• Supplemental health and wellness benefit - Modern Health and Vivawell
• Work From Home stipend
• Flexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), Paid Holidays
• Christmas Bonus ( 15-day aguinaldo )
• Monthly meal/grocery voucher via Si Vale card
• Catered Lunch
• A relocation bonus for candidates joining us from a different city
• Annual Bonus
• Tuition Reimbursement
• Saving Funds
• Employee Resource Groups (ERGs)

Notice to Candidates

SimplePractice has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (simplepractice.com/careers) and reputable job boards like our official LinkedIn or Indeed pages. 

All official SimplePractice recruitment emails will be sent from the domains @simplepractice.com, no-reply@greenhouse.io or no‑reply@linkedin.com email addresses. 

Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and SimplePractice careers.

Please note that SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.

Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.The amount below represents the expected annual base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.

Base Compensation Range: $1,058,800 MXN - $1,323,500 MXN