20 melhores vagas de stack developer & tech lead (Contratando agora!)

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- Home Office
- Inglês
- APIs
- Inteligência artificial
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- Home Office
- CRM software
- Azure
- DevOps
- Horário flexível
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- Tempo integral
- Home Office
- Inglês
- SQL
- APIs
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- Inglês
- Mestrado
- JavaScript
PHP Developer (mid)
Base.com Brazil —Salvador, BA
- Tempo integral
- Modelo Híbrido
- Gestão
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N-iX —Rio de Janeiro, RJ
- Home Office
- Ciência da Computação
- Azure
- Doutorado
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Coinme —Remoto
- Home Office
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- Gestão
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TechLead / Solutions Architect (Python & GenAI, AWS)
Provectus —Amazonas
- Tempo integral
- Home Office
- Inglês
- SQL
- APIs
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Há 10 dias
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Alternative Payments —São Paulo, SP
- R$ 72.000 – R$ 90.000 por ano
- Tempo integral
- Home Office
- Inglês
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Há 6 dias
Senior Software Engineer I
Checkout.com —São Paulo, SP
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- Ciência da Computação
- Ciência da Computação
- Java
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Senior Site Reliability Engineer
Enumerate —Campinas, SP
- R$ 4.000 – R$ 5.000 por mês
- Home Office
- Ciência da Computação
- Azure
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Há 13 dias
Solutions Architect (AI, Python/Data)
Provectus —Rio Grande do Sul
- Tempo integral
- Home Office
- Inglês
- APIs
- Inteligência artificial
Candidatura rápida
Senior Security Infrastructure Engineer
Sezzle —Brasília, DF
- R$ 5.000 – R$ 9.500 por mês
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- Bar
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WEX Inc. —São Paulo, SP
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Specialist, Customer Success Operations & Enablement
Mastercard —São Paulo, SP
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Blip Global —São Paulo, SP
- Home Office
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- Inglês
- Vale-transporte
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Lenovo —São Paulo, SP
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- Gestão
- Inglês
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Staff Software Engineer - Credit Platform
Blip Global —São Paulo, SP
- Home Office
- Azure
- Design de Sistema
- Inglês
- Vale-transporte
- Assistência médica
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Senior Software Engineer – Payments (Credit Card & Alternative Payments)
Xsolla —Rio Grande do Sul
- Tempo integral
- Home Office
- Bar
- APIs
- Inteligência artificial
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AI First Software Engineer Senior
PALO IT —São Paulo, SP
- Home Office
- Bar
- Java
- JavaScript
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Solutions Architect (GenAI, Python/Data, AWS)

Provectus -
Amazonas

Candidatura rápida

Detalhes da vaga

Tempo integral

Qualificações

Arquitetura de Nuvem
Node.js
Certificação AWS
Inglês
Garantia de qualidade
Docker
REST
B2B
GitHub
APIs
ETL
S3
Apache
Flask
Inteligência artificial
Liderança
GitLab
Python
Padrões de Design

Descrição completa da vaga

What You’ll Do:

Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges
Implement and optimize RAG systems for production use cases
Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.
Support presales: discovery calls, technical proposals, scoping, and client-facing demos
Own the technical direction of client engagements from discovery through delivery — the go-to authority for clients and the internal team
Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
Build and maintain ETL/ELT workflows using modern orchestration and distributed computing tools.

Deploy ML and LLM-based solutions
Implement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking.
Lead architecture reviews, produce technical design documents, and contribute to standards
Mentor engineers, lead code reviews, and share knowledge across the team.

What You’ll Bring:

Mindset

Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure
Already using AI tools in your daily workflow (Claude Code, Copilot, or similar)
Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you
B2+ English, comfortable collaborating across distributed, multicultural teams

Presales & Client Engagement

Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget
Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks
Experience with cost estimation and cloud architecture cost optimization

AI & Python/ Data & Cloud

7+ years building and running production systems — not only demos and POCs
Hands-on experience building production LLM-based applications and agentic workflows
Experience in integrating AI/ML components into solutions
Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
Experience building and optimizing RAG systems
Understanding of LLM evaluation techniques and quality assurance approaches
Experience deploying and maintaining AI/ML models in production environments
Python skills: OOP, design patterns, clean architecture, and performance optimization
Experience building RESTful APIs with FastAPI, Django REST, or Flask
Experience in making and defending architectural trade-off decisions
Experience with Docker and Kubernetes
Hands-on experience with AWS (Bedrock AgentCore, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
Understanding of CI/CD practices applied to ML and AI pipelines
Familiarity with model monitoring, observability, and drift detection.

Nice to Have

AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, Node.js, or Rust).
Hands-on experience with Apache Spark, Apache Airflow, Kafkа

What We Offer:

Opportunity to work with cutting-edge AI and cloud solutions
Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications
Career growth: a clear path toward SA or beyond; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Remote with flexible hours
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Candidatura rápida

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