Collaborating with clients on roadmap planning, translating evolving business needs into actionable backlog items for your MSP team.
Mentoring junior developers on both technical skills and the discipline required for managed services: documentation, runbooks, and SLA awareness.
Staying current on the latest AWS services and broader cloud industry trends, proactively identifying opportunities to improve client environments.
Contributing to internal MSP best practices, tooling, and playbooks to improve team efficiency and service quality.
- Handling professional conflict constructively — the lead has final say on technical decisions and is responsible for maintaining team morale and cohesion.
- What You Will Bring:
- 7+ years of development experience with a strong, recent focus on Node.js/TypeScript and AWS services.
Demonstrated expert knowledge of AWS services and cloud architecture, including Lambda, DynamoDB, S3, CloudFormation, RDS, Redshift, and VPC/network configurations.
Experience operating in a managed services or operational support environment — not just project delivery — with an understanding of SLAs, incident management, and change control.
Thorough knowledge of agile and ITSM methodologies; comfortable blending Scrum practices with service management disciplines.
Ability to mentor junior team members constructively, fostering growth while maintaining strong team relationships.
A mindset of seeking to understand before prescribing a solution — essential in long-term client relationships.
Willingness to stand behind your convictions while committing to team decisions.
A genuine love of technology and continuous learning, particularly the latest services and best practices from AWS.
Desired Skills
Experience with the Serverless Framework (serverless.com).
Python development experience.
Familiarity with observability and monitoring tools (e.g., CloudWatch)
Background in Amazon Connect or contact center technology.
Experience designing and integrating AI/ML solutions using AWS AI services such as Amazon Lex, Bedrock, SageMaker, Comprehend, or Transcribe.
Familiarity with large language model (LLM) integration patterns, prompt engineering, and AI-powered automation within cloud-native architectures.
Experience with natural language processing (NLP) and conversational AI, including chatbot development and voice/chat automation.
