Software Architect Ai Sdlc

Jobgether Srl

Brasília

Remote

BRL 260,000 - 420,000

Full time

2 days ago
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Benefits offered by this job

Health and dental
Food allowance
Extended parental leave
Gym access
Wellbeing platform
Profit Sharing
Lifelong learning
Online learning
Language learning
Discount club

Job summary

Jobgether Srl seeks a Software Architect AI SDLC in Brazil to design and evolve AI-driven workflows across the SDLC, enabling secure, scalable production solutions. You will translate AI capabilities into agented software delivery while aligning with governance and compliance requirements.

The role requires strong Java/Python experience, hands-on AI tooling, and cloud/DevOps expertise. It is remote, with Campinas attendance as per policy, and offers comprehensive health and wellbeing benefits.

Qualifications

  • Solid professional experience in software development using Java, Python, or similar programming languages.
  • Experience with CI/CD pipelines and Dev Ops practices, particularly Azure Dev Ops, Git Flow, and SonarQube.
  • Hands-on experience with generative AI tools applied to software development, such as Claude Code, GitHub Copilot, or similar technologies.
  • Strong understanding of software quality practices, including automated testing, BDD, and SAST.
  • Familiarity with microservices architectures and technologies such as Spring Boot or Quarkus is desirable.

Responsibilities

  • Design, implement, and evolve AI-driven SDLC workflows across analysis, development, testing, and deployment.

Skills

Java
Python
CI/CD
DevOps
Azure DevOps
Git
Generative AI
AI agents
SAST
BDD
Security
Compliance
Cloud computing
AWS Lambda
SQS
Spring Boot
Quarkus
AI infrastructure
Prompts

Tools

Azure DevOps
Git
SonarQube
Veracode
CI/CD pipelines
GitHub Copilot
Claude Code
Databricks

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Architect AI SDLC based in Brazil.

This role offers the opportunity to shape the future of software development by integrating generative AI and agentic workflows into the Software Development Life Cycle (SDLC).You will design, implement, and evolve AI-driven workflows that support development teams across analysis, testing, deployment, and delivery.

The position combines software architecture, cloud engineering, Dev Ops, and practical applications of generative AI.You will work closely with technical stakeholders to turn AI capabilities into secure, scalable, and production-ready solutions. A key focus will be optimizing AI agents while maintaining high standards for quality, security, compliance, and reliability.

You will contribute to an evolving AI infrastructure roadmap and help identify opportunities to automate development processes.

The role is fully remote, with office attendance required for professionals living in the Campinas metropolitan area according to the applicable policy.

AccountabilitiesDesign, implement, and continuously improve agentic workflows that transform software development processes through AI.Customize and configure generative AI platforms according to SDLC requirements, including skills, personas, prompts, and contextual information.

Develop and maintain AI-driven workflows integrated with development pipelines such as Azure Dev Ops, Git, and CI/CD environments.

Integrate AI agents across multiple stages of the SDLC, including analysis, requirements refinement, development, testing, and deployment.

Tune agent parameters, strategies, and workflows to optimize performance and output quality at each stage of development.

Plan and execute the AI infrastructure roadmap in collaboration with relevant technical stakeholders.

Automate software development activities while maintaining quality, security, compliance, and engineering standards using practices and tools such as Sonar Qube, Veracode, and test coverage.

Identify, assess, and mitigate technical risks associated with deploying AI agents in production environments.

Ensure AI-enabled solutions follow appropriate ethical, security, regulatory, and governance llaborate across teams and contribute to the continuous improvement of AI-assisted software engineering practices.

RequirementsSolid professional experience in software development using Java, Python, or similar programming languages.

Experience with CI/CD pipelines and Dev Ops practices, particularly Azure Dev Ops, Git Flow, and Sonar Qube.

Practical cloud computing experience, especially with AWS services such as Lambda, SQS, and S3.Hands-on experience with generative AI tools applied to software development, such as Claude Code, Git Hub Copilot, or similar technologies. Ability to write, refine, and review prompts, configure AI agents, and evaluate the quality and reliability of AI-generated outputs.

Strong understanding of software quality practices, including automated testing, BDD, and SAST.Strong architectural and problem-solving capabilities, with the ability to evaluate technical risks and design scalable solutions.

Ability to work collaboratively with technical teams while communicating complex concepts clearly.

Experience with agentic frameworks or methodologies such as AISDD, Spec-Kit, or similar is a plus.

Knowledge of microservices architectures and technologies such as Spring Boot or Quarkus is desirable.

Familiarity with flow observability tools such as Flow Ops, Databricks, or similar platforms is an advantage.

Experience working on large-scale initiatives involving multiple teams or squads simultaneously is a plus.

Previous experience in the benefits sector or fintech is desirable.

BenefitsHealth and dental al and food allowance.

Extended parental leave.

Access to gyms and health and wellness professionals through Wellhub and Total Pass.

Profit Sharing and Results Participation (PLR).Life ntinuous learning and professional development opportunities.

Access to online learning platforms.

Language-learning platform.

Discount club.

Free online platform focused on physical health, mental health, and overall well-being.

Pregnancy and responsible parenting course.

Inclusive health, well-being, and professional development initiatives.

Remote work arrangement, with office attendance required for candidates residing in the Campinas metropolitan area according to the applicable policy.

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