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DevOps Engineer

DevOps Engineer

NextGen AI Technical Manager -Growth&Innovation - Assistant Director - Argentina - EY GDS

EY

Buenos Aires

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Описание вакансии

About The Next Frontier
Applied Innovation's Next Frontier focuses on emerging technologies, including Physical AI, Quantum Computing, and Next-Generation AI amongst others. This initiative translates advanced capabilities into measurable outcomes, helping clients and EY teams improve decision-making, strengthen resilience, and unlock new opportunities through technology-driven solutions.

About The Delivery Team
The Next-Generation AI team helps EY teams turn emerging AI capabilities into practical, secure, and governable solutions. The team builds small, high-fidelity experiments to test what AI can realistically do before decisions on scale or production are made. We work closely with EY teams to translate real business and engineering pain points into rapid, value-focused prototypes.

Position Summary
NextGen AI Manager – Technical Innovation, for the Next-Gen AI team provides technical expertise to assess emerging AI capabilities and explore their application to business and client challenges. Drawing on prior hands-on experience designing and building AI/ML solutions, the Manager evaluates relevant technologies, models and architectures and translates technical findings into practical experimentation opportunities. The role works with account teams to understand client problems, identify potential Frontier AI applications, and help shape focused prototypes and experiments. The Manager provides technical guidance to engineering teams, reviews technology choices, and surfaces feasibility considerations, risks and trade-offs during experimentation. The role supports Next-Gen AI leadership with technical insights and recommendations to inform decisions on which opportunities should be explored further.

Essential Responsibilities of the Job:
Emerging AI Technology Scouting & Assessment

  • Maintain a strong understanding of developments across next-generation AI, including emerging models, agent architectures, frameworks, open-source technologies, infrastructure patterns, and adjacent technologies.
  • Conduct hands-on technical assessments of emerging capabilities to understand their maturity, limitations, enterprise applicability, and potential areas of value.
  • Distinguish meaningful technical advances from market hype and summarize implications for the Next-Gen AI team.
  • Bring technically grounded insights and recommendations to leadership on areas that may warrant further exploration.

Technical Opportunity Identification

  • Review business and client challenges surfaced by account teams and assess whether emerging AI capabilities could offer a relevant or differentiated approach.
  • Identify connections between evolving technology capabilities and problems where traditional or currently available approaches may be insufficient.
  • Develop initial technical hypotheses for how promising capabilities could be explored through focused experiments or prototypes.
  • Provide leadership with technical perspectives on feasibility, maturity, dependencies, and potential value before decisions are made to pursue an opportunity.

Experiment & Prototype Technical Shaping

  • Help translate selected opportunities into technically meaningful experiments with clear hypotheses and evaluation criteria.
  • Recommend appropriate models, architectures, frameworks, data approaches, and technology components for experimentation.
  • Work closely with engineering teams to provide technical direction, review proposed approaches, and challenge design decisions where appropriate.
  • Identify technical risks, constraints, and trade-offs early and recommend practical alternatives.

Technical Evaluation & Learning

  • Define approaches to evaluate experiments across dimensions such as capability, accuracy, reliability, performance, cost, security, and enterprise readiness.
  • Analyze experiment outcomes and determine what the results indicate about the underlying technology and its applicability.
  • Capture technical learnings, reusable patterns, and limitations to inform future experimentation across the portfolio.
  • Provide evidence-based recommendations to leadership on whether a capability should be explored further, refined, monitored, or deprioritized.

Technical Ecosystem Engagement

  • Engage with engineers, technology partners, startups, open-source communities, and EY technical specialists to remain close to emerging developments.
  • Assess technology and alliance capabilities from a technical perspective and identify where external expertise or platforms could accelerate experimentation.
  • Connect relevant technical expertise into experiments when specialist capabilities are required.

Analytical/Decision Making Responsibilities:

  • Examine new AI methods and delivery patterns to determine where they are feasible, responsible, and worth piloting.
  • Apply governance, security, and compliance requirements consistently across the experiment-to-delivery lifecycle, ensuring alignment with EY processes.
  • Use evidence and outcome signals to make timely trade-offs, re-prioritize work, and steer teams toward the highest-impact results in a fast-moving environment.

Knowledge and Skills Requirements:

  • Background in AI/ML, software engineering, data engineering, or solution architecture.
  • Prior hands-on experience building AI/ML and GenAI solutions.
  • Experience assessing emerging AI technologies and working with engineering teams.
  • Tools & stack you may touch:
  • Programming: Python, SQL
  • AI Platforms: Azure OpenAI / Azure AI Foundry, OpenAI API, etc.
  • AI Frameworks: LangChain, LangGraph, LlamaIndex, Hugging Face
  • Retrieval / Vector: Azure AI Search, Pinecone, Weaviate, pgvector
  • Knowledge Graphs: Neo4j
  • Development: GitHub, Docker, Kubernetes
  • ML / Evaluation: MLflow, model evaluation and benchmarking tools
  • Collaboration: Teams, SharePoint, Azure DevOps

Education & Experience:

8+ years in AI/ML engineering, software engineering, data engineering, solution architecture, or related technical roles.

Demonstrated prior hands-on experience designing and building AI/ML or GenAI solutions.

Experience evaluating emerging AI technologies, architectures, models, and frameworks for enterprise applicability.

Experience working with engineering teams and providing technical guidance across prototypes, pilots, or production solutions.

Strong understanding of enterprise AI constraints, including privacy, security, governance, integration, scalability, and cost.

Excellent written/verbal communication skills with the ability to engage confidently with technical and senior stakeholders.

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DevOps Engineer

Senior DevSecOps [US Client]

PwC Argentina

Buenos Airessenior

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Описание вакансии

Industry/Sector
Not Applicable

Specialism
Cybersecurity & Privacy

Management Level
Senior Associate

Job Description & Summary
At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data.

As a security engineer at PwC you will design, implement, and maintain security systems to protect an organisation's digital assets. You will analyse potential vulnerabilities, develop strategies to mitigate risks, and confirm compliance with industry standards and regulations. Additionally, you will conduct security audits and provide recommendations for enhancing the overall security posture.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Respond effectively to the diverse perspectives, needs, and feelings of others.
  • Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
  • Use critical thinking to break down complex concepts.
  • Understand the broader objectives of your project or role and how your work fits into the overall strategy.
  • Develop a deeper understanding of the business context and how it is changing.
  • Use reflection to develop self awareness, enhance strengths and address development areas.
  • Interpret data to inform insights and recommendations.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

  • When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
  • As part of the Cybersecurity team you will embed security into every stage of the software development lifecycle and cloud infrastructure management. As a Senior Associate, you will lead initiatives in cloud security management, maintaining governance across multi-cloud environments while educating and influencing teams on security standards. This role provides an exciting opportunity to shape security strategies and drive innovation in a fast-paced environment.

Responsibilities

  • Integrate security measures throughout the software development lifecycle
  • Lead initiatives focused on cloud security management
  • Educate teams on security practices and governance
  • Analyze and influence security strategies in multi-cloud environments
  • Collaborate with stakeholders to drive innovation in security
  • Mentor team members on security protocols and standards
  • Confirm compliance with industry regulations and firm policies
  • Navigate complex security challenges with practical solutions

Requirements

  • 3 years of experience as Software Developer
  • Experience in infrastructure and architecture integration
  • Experience in code automation
  • Cloud Knowledge
  • Security experience is a plus
  • Oral and written proficiency in English required
  • General requirements
  • Understand the importance of have a correct information management
  • Knowledge of Information Security and Data Protection
  • Correct Information Security Management
  • All qualified applicants will receive consideration for employment at PwC without regard to ethnicity; creed; color; religion; national origin; age; disability; neurodiversity; sexual orientation; gender identity or expression; marital; or any other status protected by law. PwC is proud to be an inclusive organization and equal opportunity employer.

Travel Requirements
Not Specified

Job Posting End Date

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DevOps Engineer

TTT - Senior DevOps - EY Global Delivery Services

EY

Buenos Airessenior

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Описание вакансии

Senior Azure DevOps Engineer
As a Senior Azure DevOps Engineer at EY, you will have an opportunity to assume the role of a technology consultant that helps companies across the globe to design and build cloud infrastructure, balancing security, availability and cost requirements.

The systems you will co-create enable businesses to have a global reach and operate around the clock.

Key responsibilities:

  • Establish and employ Continuous Integration practices and tools such as Azure DevOps, configuration management automation, orchestrate infrastructure-as-code deployment, design, build and monitor Azure cloud infrastructure
  • Must have experience in PowerShell/Bash, configuration and provisioning of Azure Resources, Cloud-based development using Azure
  • Work in a team following Agile practices, work in close cooperation with client teams to develop solutions that drive value for client business
  • Consult and advise client stakeholders in your area of expertise
  • Resolve build/release failures, pipeline misconfigurations, and YAML debugging errors to ensure seamless continuous integration and continuous delivery (CI/CD).
  • Deploy and maintain Azure resources, manage environment provisioning, and utilize Infrastructure as Code (IaC) templates
  • Configure Role-Based Access Control (RBAC), enforce security policies, and manage secrets across development environments.
  • Use Azure Monitor, Application Insights, and Log Analytics to track performance and troubleshoot application crash logs.
  • Work alongside developers, QA, and IT teams to eliminate delivery bottlenecks and remove workflow blockers.

Essential Requirements

  • Cloud Proficiency: Hands-on experience configuring Microsoft Azure Cloud services and infrastructure delivery models (IaaS, PaaS).
  • Operating Systems experience: Windows Server, Linux Server.
  • CI/CD Knowledge: Practical expertise in building and maintaining Azure DevOps or similar pipeline tools (e.g., Jenkins, GitLab).
  • Scripting & Automation (nice to have): Strong proficiency in at least one scripting language (e.g., PowerShell, Bash, Python).
  • Containerization: Familiarity with Docker and orchestration platforms like Azure Kubernetes Service (AKS).

What We Offer
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

  • Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
  • Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The Exceptional EY Experience. It’s Yours To Build.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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DevOps Engineer

Tech Lead Performance & Development

Capgemini Engineering

Buenos Airesfulltimelead

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Описание вакансии

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description
Tech Lead – Performance & Development
Horario de trabajo: 12 a 21 hs (alineado a horario PST)
Requisitos técnicos

  • Sólido conocimiento de la arquitectura NGPOS, los flujos transaccionales y las integraciones con servicios en la nube y sistemas externos (Pagos, Loyalty/Fidelización, etc.).
  • Sólida experiencia en programación e ingeniería de software con Golang y C#/.NET, con capacidad para revisar código y orientar técnicamente al equipo.
  • Capacidad para revisar arquitecturas, diseñar mocks/emuladores y construir y administrar entornos de prueba físicos y virtuales.
  • Conocimientos de ingeniería de performance y pruebas, incluyendo análisis de métricas, herramientas APM, análisis de memory dumps y thread dumps, tracing y análisis de causa raíz.
  • Líder efectivo con excelentes habilidades de comunicación, capaz de mentorizar equipos, remover bloqueos y promover el alineamiento entre stakeholders.
  • Seguridad y criterio para cuestionar objetivos poco realistas utilizando información basada en datos y proponiendo alternativas viables.
  • Conocimientos de prácticas de DevOps (pipelines de CI/CD y automatización de pruebas de performance, monitoreo y reporting)

¿Qué ofrecemos?
Salario dolarizado, liquidado en pesos según dólar BNA venta

Relación de dependencia con Capgemini

Beneficios:

  • Reintegro de gastos virtuales
  • Cobertura médica OSDE
  • Convenio con Megatlón
  • Capacitaciones y descuentos en idiomas (CUI), entre otros

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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DevOps Engineer

AI Engineering Lead

Blend

Buenos Airesfulltimelead

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Описание вакансии

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360\.com

We are seeking an
AI Engineering Lead
to contribute to our next level of growth and expansion.

Job Description

What is this position about?

  • Lead end-to-end project delivery with clear governance and strong stakeholder communication
  • Mentor junior engineers and contribute to proposals and new business initiatives
  • Define what AI systems should and should not attempt, and communicate risks and tradeoffs transparently to clients
  • Design and build RAG systems, agentic frameworks, and LLM-powered solutions robust enough for production
  • Apply advanced prompt engineering techniques, including instruction design, few-shot sets, structured outputs, and tool/agent prompts
  • Lead feasibility assessments to select the right approach among prompting, RAG, fine-tuning, or classical ML
  • Design evaluation frameworks, including LLM-as-a-judge methods, custom metrics (recall@k, precision@k), and go/no-go gates
  • Run structured experiments across prompts, retrievers, chunking strategies, and models, grounded in evidence rather than intuition
  • Identify and categorize model failure modes, including hallucinations, retrieval misses, and instruction-following errors
  • Build scalable inference infrastructure and CI/CD pipelines for AI/ML models
  • Automate the full MLOps/LLMOps lifecycle, including tracking, versioning, deployment, monitoring, and retraining
  • Design APIs, microservices, and orchestration layers optimized for latency, cost, and reliability

Qualifications

  • Expert-level Python, strong Git practices, and experience with ML/LLM versioning
  • Solid cloud experience across AWS, Azure, or GCP (Azure preferred), plus containerization and orchestration
  • Hands-on RAG experience covering chunking, embeddings, retrieval, reranking, and evaluation
  • Proven MLOps/LLMOps track record using tools such as MLflow, Weights & Biases, or similar
  • Practical evaluation design skills, including metrics, dataset curation, and structured experimentation
  • Experience with event-driven architectures, APIs, and microservices
  • Strong communication skills, equally comfortable engaging engineering teams and senior stakeholders
  • Preferred: experience with the Databricks MLOps platform, LLM fine-tuning, building agentic GenAI systems, Infrastructure as Code, security and observability for AI services, a classical ML background, and open-source contributions

What about languages?

English: Advanced (required for effective communication with global teams)

How much experience must I have?

6+ years of experience building and deploying AI solutions in production environments, with a strong track record across RAG, agentic systems, and MLOps/LLMOps.

Additional Information

Our perks and benefits:

📚 Learning Opportunities:

  • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
  • Access to AI learning paths to stay up to date with the latest technologies.
  • Study plans, courses, and additional certifications tailored to your role.
  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
  • English lessons to support your professional communication.

👨🏽‍💻 Travel opportunities to attend industry conferences and meet clients.

👩‍🏫 Mentoring and Development:

  • Career development plans and mentorship programs to help shape your path.

🎁 Celebrations & Support:

  • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
  • Company-provided equipment.

⚖️ Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

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NextGen AI Technical Manager -Growth&Innovation - Assistant Director - Argentina - EY GDSEY · Argentina

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