From 2023, Promtior drives the adoption of generative artificial intelligence within companies that seek to work more efficiently, agile, and strategically. We design and develop customized AI solutions, accompanying our clients from identifying opportunities and product design to final implementation. Our focus is on creating technology that is actually used, that improves processes, and enhances team capabilities.

We believe in a natural collaboration between people and technology. Therefore, we cultivate a culture that values curiosity, continuous learning, and real ownership of what we build. We work in agile teams, with the freedom to propose and the responsibility to deliver solutions that generate concrete impact. If you are motivated to create AI-based products that transform how organizations operate, Promtior is a place where your ideas can scale and your growth becomes part of the journey.

We are currently looking for a Tech Lead to join the Engineering team.

What will be the main challenges of the role?
 
*  Lead and facilitate daily Scrum meetings to ensure alignment and progress.
*  Assign, prioritize, and follow up on team tasks.
*  Monitor the progress of work, review deliverables, and ensure they meet technical standards and project requirements.
*  Identify blockers or risks and coordinate solutions with the team.
*  Provide guidance and technical support when necessary.
*  Coordinate communication between developers, stakeholders, and other teams.
*  Ensure the team follows best Agile/Scrum practices and maintains continuous improvement.
*  Monitor sprint progress and adjust priorities to meet delivery commitments.
*  Support planning sessions, including backlog refinement and sprint planning.
*  Help clarify requirements and translate them into actionable technical tasks.
*  Maintain visibility of team workload, capacity, and performance.
*  Facilitate a productive, collaborative, and technically aligned work environment.

What do we expect from you for this role?

*  Solid experience in Python, including backend service development, automation scripts, and integration flows.
*  Knowledge of AWS, including:

*  ECS (containerized workloads)     *  Lambda (serverless computing)     *  SQS (message queues and asynchronous processing)     *  IAM (permissions and security best practices)     *  CloudWatch (monitoring and logs)    

*  Experience with containers and orchestration, especially Docker and task definitions in ECS.
*  Familiarity with distributed architectures, microservices, and event-driven patterns.
*  Knowledge of CI/CD pipelines, versioning strategies, and automated deployments using tools like GitHub Actions or similar.
*  Experience with GitHub for version control, branching strategies, pull request reviews, and repository management.
*  Experience with Jira for Agile/Scrum flow management, including boards, sprints, and ticket lifecycle.
*  Experience with Confluence for documentation, knowledge base management, and team coordination.
*  Experience with Redis, including cache strategies, state management, or message coordination.
*  Familiarity with LangGraph, LLM orchestration, and related AI pipelines, optional but highly valued.
*  Knowledge of logging, monitoring, and troubleshooting tools in cloud and distributed environments.
*  Ability to design, review, and maintain technical documentation on system behaviors, architectures, and operational playbooks. Understanding of secure development practices and best practices related to permissions, secret management, and cloud architecture.