BranchFactor Summary

The original posting with the fluff stripped out

Expected experience: 5+ yrs
Management level: Individual contributor
Employment: Hybrid
Contract: Full-time

Compensation

No salary listed for this role.

Role speciality

Artificial Intelligence AgentsFull-Stack Software EngineeringTechnical Coordination

Useful technologies

API GatewayAWSAWS CDKCloudFormationCloudFrontCloudwatchCypressGitHub ActionsIAMJavaScriptJestJWTLambdaMUINew RelicNext.jsNode.jsnpmOpenAPIOpenSearchOpenSearch ServerlessPlaywrightPostmanReactS3SAMSecrets ManagerSQSSSMStorybookSwaggerTurboRepoTypeScriptWAFYarn

Original posting

Senior Software Engineer (TypeScript | React | AWS | AI)

Job Purpose

As a Senior Software Engineer at CI&T, you will combine hands-on full-stack development with day-to-day technical coordination within a cross-functional project team.

Alongside designing, building and testing software, you will act as a technical focal point for developers and client stakeholders. You will help the team align on implementation approaches, clarify requirements, coordinate dependencies and maintain clear visibility of progress, risks and blockers.

You will work closely with the System Architect to ensure implementation aligns with the project’s technical direction, bringing questions, recommendations and trade-offs forward when decisions are needed.

You will also help define and implement agentic AI solutions and engineering workflows. This requires practical experience building and integrating AI agents, evaluating their behaviour and applying them effectively to real project needs.

This position requires initiative, excellent communication and experience guiding others through technical delivery. It is a hands-on senior role without formal people management responsibilities.

Required Technical Stack

TypeScript / JavaScript – Strong experience with modern development practices and patterns
Node.js – Extensive experience developing scalable back-end applications and RESTful APIs
React / Next.js – Strong experience building modern, responsive front-end applications
AWS – Experience with Lambda, API Gateway, CloudFront, S3, SQS, IAM, WAF, Secrets Manager, SSM, and CloudWatch
AI Agents – Experience building, orchestrating, or integrating AI agents into software solutions or engineering workflows
API Security – Experience with Lambda authorizers, JWT authentication, API keys, and usage plans
Infrastructure as Code – AWS CDK and SAM/CloudFormation
Testing – Jest, Playwright, Cypress, and automated testing practices
API Development – Swagger/OpenAPI and Postman
CI/CD – GitHub Actions and DevOps practices
Monorepo – Turborepo with npm workspaces or Yarn

Key Accountabilities

What pay is competitive? →Which skills are in demand for this role? →

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Technical Alignment and Team Support:

Act as the team’s day-to-day technical focal point, helping developers clarify questions and move work forward

Facilitate alignment on implementation approaches, interfaces and shared technical assumptions

Work with the System Architect to clarify technical direction and resolve decisions that affect the wider solution

Translate agreed decisions into actionable development tasks and communicate their implications to the team

Support refinement and estimation by identifying missing information, technical constraints and dependencies

Guide teammates through pairing, code reviews, troubleshooting and knowledge sharing

Recognise when an issue can be resolved within the team and when it needs input or escalation

Client Collaboration and Dependency Coordination:

Work directly with client stakeholders and other delivery teams to clarify technical requirements and coordinate dependencies

Identify dependencies involving APIs, shared platforms, environments, access, content and external services

Confirm the responsible contacts, expected dates and required actions for dependencies, and follow up through resolution

Communicate the impact of outstanding dependencies on implementation, testing and delivery

Facilitate technical discussions and record decisions, actions and unresolved questions

Explain technical issues and options clearly to both technical and non-technical audiences

Risk, Progress and Delivery Visibility:

Proactively identify technical and delivery risks, assess their impact and recommend practical mitigation actions

Provide clear updates on progress, blockers, dependencies and next steps

Raise concerns early, with enough context for stakeholders to make informed decisions

Follow through on agreed actions and flag changes that affect commitments or delivery expectations

Help the team break complex work into manageable increments and surface uncertainty during planning

Contribute to release readiness by confirming the status of assigned changes, testing and outstanding issues

Support production investigations and implement agreed corrective actions

Agentic AI and Engineering Automation:

Help identify and define suitable use cases for AI agents within project solutions and engineering workflows

Contribute to decisions about agent responsibilities, workflow steps, integrations and human review points

Build, configure and integrate AI agents with approved tools, APIs and project information

Implement appropriate context handling, tool permissions, validation and failure recovery

Evaluate agent behaviour using representative scenarios, including incorrect outputs and unsuccessful executions

Apply AI-assisted development tools effectively while remaining accountable for the code, tests and documentation produced

Collaborate with the System Architect and client stakeholders on technical constraints, data access and integration requirements

Assess reliability, quality, cost and delivery benefits, and recommend improvements based on evidence

Share practical knowledge and help teammates adopt effective AI-assisted approaches

Quality and Continuous Improvement:

Complete developer testing before submitting work for review

Maintain appropriate unit, integration and end-to-end test coverage

Collaborate with QA to clarify acceptance criteria, investigate defects and strengthen regression coverage

Apply agreed security, accessibility and performance practices

Contribute to CI/CD improvements and reliable deployment processes

Identify recurring delivery problems and propose practical improvements

Support a collaborative environment where people raise questions, communicate risks and seek feedback early

Knowledge and Experience

Essential:

At least five years of professional software development experience, with substantial hands-on full-stack delivery

Strong proficiency in TypeScript and JavaScript

Experience building production front-end applications using React and Next.js

Experience developing back-end services and RESTful APIs using Node.js

Practical experience with AWS serverless services, including Lambda, API Gateway, S3, SQS, IAM and CloudWatch

Experience delivering features across user interfaces, services and external integrations

Demonstrated experience acting as a technical focal point, guiding developers or coordinating technical delivery

Experience working directly with clients or stakeholders to clarify requirements, resolve issues and coordinate dependencies

Excellent English communication skills, including clear progress reporting and explanation of technical trade-offs

A proactive approach to identifying risks, resolving ambiguity and following through on actions

Practical experience building or integrating AI agents and agentic workflows, beyond using coding assistants alone

Experience defining agent workflows, connecting tools or APIs, and evaluating outputs and failure cases

Experience with automated testing, code reviews, CI/CD and production troubleshooting

Ability to work collaboratively with a System Architect and translate agreed technical direction into implementation

Desirable:

Experience with OpenSearch or OpenSearch Serverless

Familiarity with MUI, Storybook, Turborepo and shared component libraries

Experience with AWS CDK, SAM/CloudFormation and GitHub Actions

Familiarity with Jest, Playwright, Cypress and API testing tools

Experience with monitoring and observability tools such as CloudWatch and New Relic

Experience with agent evaluation, execution tracing and monitoring

Experience working with international clients and distributed teams

What Success Looks Like

High-quality full-stack work is delivered with appropriate testing and documentation

Developers have a reliable technical focal point who helps clarify questions and unblock implementation

The team, System Architect and client remain aligned on technical decisions and next steps

Dependencies are actively coordinated, and risks are raised early with practical options

Stakeholders have an accurate understanding of progress and issues affecting delivery

AI agents and workflows address useful project needs and are evaluated for reliability and effectiveness

The individual demonstrates initiative, communicates clearly and follows through on commitments