Senior Engineer in Brazil at Jobgether

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

This is an opportunity to serve as a senior technical reference for the design, architecture, and delivery of scalable, cloud-native software solutions.
You will work closely with engineering and product stakeholders to turn complex business needs into reliable, production-ready systems.
The role combines strong AWS expertise with hands-on experience in Generative AI, LLMs, and AI-agent architectures.
You will help shape long-term technical direction through architecture decisions, security-focused engineering, and scalable infrastructure.
Beyond your own delivery, you will raise engineering standards through code reviews, design discussions, and mentorship.
The position offers the opportunity to work within a stable team, continuously evolving systems and solving challenging technical problems.
It is ideal for an experienced engineer who combines technical depth, autonomy, strategic thinking, and a strong passion for innovation.

• Own the architecture and evolution of distributed, cloud-native systems from infrastructure-as-code through production operations, with a strong focus on reliability, security, performance, and scalability.
• Design and deliver solutions using AWS services such as Lambda, S3, DynamoDB, Bedrock, SQS, SNS, and ECS, making informed architectural decisions around cost and operational efficiency.
• Translate ambiguous business requirements into clear, scoped, and actionable technical plans that can be delivered effectively by engineering teams.
• Create and maintain Architecture Decision Records that establish durable technical standards and guide future architectural choices.
• Drive alignment between engineering, product, and other stakeholders by communicating technical strategies, trade-offs, risks, and priorities clearly.
• Contribute hands-on to software development while maintaining high standards for architecture, code quality, reliability, and security.
• Lead code reviews, design critiques, and technical discussions to continuously improve engineering practices and solution quality.
• Mentor and support other engineers, helping develop their technical capabilities and encouraging strong engineering practices.
• Explore and apply Generative AI, LLMs, and AI-agent technologies to improve products, workflows, and software development capabilities.

• Strong professional experience in software development, with a proven track record of designing, building, and deploying complex production systems.
• Advanced programming experience with JavaScript and TypeScript.
• Extensive experience designing or architecting new and existing systems, including design patterns, reliability, scalability, and performance considerations.
• Strong experience developing cloud-native applications and platforms on AWS, particularly with Lambda, S3, DynamoDB, AWS Bedrock, SQS, SNS, and ECS.
• Ability to make sound architectural decisions while balancing cost, performance, scalability, reliability, and security.
• Practical experience or strong interest in Generative AI, LLMs, and AI-agent architectures.
• Experience working as a mentor, technical lead, or engineering team lead, with the ability to provide technical guidance to other engineers.
• Experience leading the design, development, and deployment of reliable and scalable software solutions in production environments.
• C1-level English proficiency or higher, with strong written and verbal communication skills.
• Familiarity with the complete software development lifecycle, including coding standards, code reviews, source control, build processes, testing, and operations.
• Bachelor's degree in Computer Science or an equivalent technical background is advantageous.
• Experience with infrastructure-as-code using Terraform or AWS CDK is a plus.
• Familiarity with AI-assisted development tools such as Claude Code or Cursor is desirable.
• Experience building or integrating AI agents using orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar technologies is a plus.
• Strong problem-solving abilities, autonomy, technical judgment, collaboration skills, and a continuous-learning mindset.

• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Extended parental leave.
• Access to gyms and health and wellness professionals through Wellhub and TotalPass.
• Profit Sharing and Results Participation (PLR).
• Life insurance.
• Continuous learning opportunities through an internal learning platform.
• Access to online learning platforms and language-learning resources.
• Discount club and partner benefits.
• Free online resources focused on physical, mental, and overall well-being.
• Pregnancy and responsible parenting support.
• Inclusive workplace with dedicated health and well-being resources, inclusion specialists, and affinity groups.
• Additional benefits and programs designed to support professional development and employee well-being.