TELECOMMUTE Remote Fullstack Engineer

Skills: Node.js, AWS,Lambda, CIAM,Security, Kafka,Docker,Kuberbetes, Terraform, EC2, ECS, Lambda, Cognito, CloudWatch Must be able to come onsite as needed.

Role is 100% remote, but candidates must live within commuting or reasonable travel distance of one of client’s five hubs and be able to come onsite as needed.

Conversion timing may vary from approximately four months to one year, depending on candidate fit, department needs, budget, and organizational timing.

Frontend work supports internal administrative tools. Candidates do not need deep design, Figma, or pixel-perfect UI experience.

Candidates should be able to review AI-generated frontend code and identify when it is producing something incorrect or unusual.

Experience implementing and consuming events is valuable because this person will backfill a former Kafka-focused team member.

Kafka architecture or theory is not required. Practical experience producing, consuming, or implementing event-driven solutions is the relevant background.

Security and CIAM experience are not mandatory based on the discussion.

Strong AWS and Node.js experience are the primary technical requirements.

Agentic development expectations

The team is moving toward an agentic development experience and expects engineers to use AI-assisted development tools to improve speed and productivity.

Strong candidates should:

Be comfortable reviewing and validating AI-generated code.

Use AI tools as an accelerator while maintaining engineering judgment.

Treat AI as a productivity tool rather than a threat.

Be able to explain and defend the architecture and code they produce.

Candidates who reject AI-assisted development outright may not align well with the team’s direction.

Communication and team-fit priorities

Client places significant weight on:

Clear communication.

Asking thoughtful questions.

Understanding the business objective behind a request, rather than simply coding from a user story.

Explaining technical concepts to nontechnical business users.

Thinking through problems and discussing alternatives.

Being able to engage naturally in conversation before and after the formal business discussion.

Demonstrating sound judgment, adaptability, and willingness to learn.

Working effectively in a small team where responsibilities may shift.

The manager is looking for someone who can “hit a curveball”-someone who can handle unfamiliar problems, adapt, and still produce sound AWS architecture.

Recruiter screening priorities

Please validate the following before submission:

Direct, hands-on Node.js backend development.

Meaningful AWS experience, preferably building backend services.

Practical AWS Lambda experience.

Experience implementing or consuming events; Kafka is a plus, but Kafka architecture is not required.

Ability to work effectively in a predominantly backend role.

Experience reviewing, testing, and correcting AI-generated code.

Comfort using AI-assisted development tools.

Ability to explain technical decisions to nontechnical stakeholders.

Evidence of adaptability in a small or lean engineering team.

Residence within reasonable commuting or travel distance of one of the five client’s hubs.

Willingness to work onsite when required.

Confirm the candidate is not relying on AI to answer interview questions in real time.

Important:

The strongest profile is a senior-level full stack engineer whose recent work is heavily focused on Node.js, AWS, and Lambda, with practical event-driven development experience, strong communication skills, and demonstrated comfort using AI-assisted coding tools. Frontend experience should be sufficient for internal administrative tools but does not need to be highly specialized.

Manager Must Haves:

• 10+ years of software development experience with strong expertise in cloud infrastructure, platform engineering, and backend systems.

• Node.js for backend and cloud services.

• Proven experience with AWS services, including EC2, ECS, Lambda, S3, Cognito, and CloudWatch for building secure, scalable cloud solutions.

• Strong experience in Kubernetes, Docker, and container orchestration in cloud environments.

• In-depth knowledge of Microservices architecture, MFEs, and module federation to build scalable, distributed platforms.

• Experience in securing distributed platforms with CIAM, authentication/authorization, and data protection best practices.

Key Skills and Experience:

• Advanced AWS Cloud Expertise: Extensive experience with AWS services, including EC2, ECS, S3, Lambda, Cognito, and CloudWatch for optimizing cloud infrastructure and implementing secure, high-performance platforms.

• Micro Frontend and Module Federation: Strong understanding of Micro Frontend architectures and module federation patterns to enable scalable, modular digital platforms.

• Security and CIAM: Deep knowledge of CIAM (Customer Identity and Access Management) systems such as AWS Cognito, with expertise in authentication, authorization, and data protection for distributed systems.

• Infrastructure as Code (IaC): Proficiency in using Terraform or similar IaC tools for managing cloud infrastructure, promoting consistency and automation in deployments.

• API Development and Microservices: Expertise in developing scalable RESTful APIs and microservices architectures, with an emphasis on security, performance, and scalability.

• Performance Optimization: Experience in monitoring, analyzing, and optimizing platform performance using tools such as CloudWatch, Prometheus, and Grafana.

• Automation and Reliability: Experience in building self-healing systems, automating incident detection, and response processes to ensure platform uptime and availability.

• Leadership and Mentoring: Strong leadership abilities, including mentoring engineers, promoting knowledge sharing, and guiding technical discussions.

• Java and Node.js Proficiency: Advanced knowledge in backend development with Java and Node.js, including experience with concurrency, performance optimization, and cloud integration.

• Kubernetes and Containerization: Expertise in Kubernetes and Docker for orchestrating containerized applications in the cloud, ensuring efficient scalability and deployment.

• CI/CD Pipelines: Strong experience in building and maintaining CI/CD pipelines using tools like Jenkins, GitHub Actions, and Terraform for automating deployments.

• Agile Methodologies: Proficiency in Agile and Scrum methodologies, with experience in leading teams to promote rapid iteration and continuous improvement in platform development.

**Preferred Qualifications: Always get their advanced consideration:

• Strong passion for platform reliability, scalability, security, and performance optimization.

• Strategic thinker with a problem-solving mindset and the ability to drive innovation in platform engineering.

• Excellent communication and leadership skills, with the ability to foster a collaborative engineering culture focused on security and scalability.

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field, or equivalent work experience.