Lead Amazon Connect Developer

EchoStar

$110K — $157K *
Telecommunications & Hardware
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science, Information Technology, or a related field
  • 8 years of experience in backend software engineering
  • 6+ years of experience with Java and Python
  • Experience with Amazon Web Services, including Lambda, DynamoDB, S3, IAM, and CloudWatch
  • Advanced skills in developing serverless backend microservices and RESTful APIs
  • Expertise in AI application frameworks such as Retrieval-Augmented Generation (RAG) and Large Language Models

Responsibilities

  • Design, configure, and implement complex contact flows in Amazon Connect
  • Develop high-performance serverless functions and backend microservices in Java and Python
  • Architect responsive custom agent workspaces using React and the Amazon Connect Streams API
  • Deploy AI systems utilizing Large Language Models via Amazon Bedrock
  • Build secure RESTful APIs through AWS API Gateway
  • Drive platform reliability and monitoring with automated simulations and CloudWatch

Benefits

  • Versatile health perks including flexible spending accounts and HSA
  • 401(k) Plan with company match
  • Employee Stock Purchase Plan (ESPP)
  • Career advancement opportunities
  • Flexible time away plan
Full Job Description
Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

The Cloud Contact Center team is seeking a Lead Amazon Connect Developer to help design, develop, and support custom applications and integrations within our Amazon Connect platform. This individual will collaborate with internal teams to define requirements, implement scalable solutions, and enhance the overall efficiency of our enterprise contact center ecosystem. Collaborating closely with teams across Operations, IT, Sling, Sales, and Customer Support, this role focuses on creating innovative customer interaction workflows.

What Success Looks Like (Objectives):
  • Design, configure, and implement complex contact flows and reusable modules in Amazon Connect to optimize multi-channel customer journeys and intelligent skill-based routing
  • Develop high-performance, production-grade serverless functions and backend microservices in Java and Python to handle heavy data transformations and orchestrate integrations with enterprise third-party APIs
  • Architect and implement responsive custom agent workspaces using React and the Amazon Connect Streams API to seamlessly embed telephony and telemetry controls into internal systems
  • Deploy and orchestrate agentic AI systems utilizing Large Language Models via Amazon Bedrock, including RAG frameworks and real-time agent assistance
  • Build and secure high-performance RESTful APIs through AWS API Gateway, establishing robust policies for authentication, authorization, and throttling
  • Drive platform reliability, observability, and continuous integration by establishing robust prompt-engineering guardrails, extensive automated simulations, and comprehensive CloudWatch monitoring

Skills, Experience and Requirements

Core Skills and Competencies (What you'll bring):
  • Experience designing, deploying, and optimizing enterprise-scale AWS Connect environments and multi-channel routing architectures
  • Advanced technical expertise in building serverless backend microservices using Java and Python alongside secure RESTful API integrations.
  • Proven capability in developing interactive, responsive web applications using React and JavaScript to interface with advanced telephony systems
  • Sophisticated AI application skills, specifically in implementing Retrieval-Augmented Generation (RAG) frameworks, vector spaces, prompt engineering, and orchestrating Large Language Models
  • Deep analytical expertise in managing low-latency databases, cloud storage, security identity management, and comprehensive system monitoring within the AWS ecosystem
  • Exceptional collaborative problem-solving skills to translate complex business needs into secure, scalable, and observable cloud solutions

Minimum Requirements:
  • Minimum Education: Bachelor's Degree in Computer Science, Information Technology, or a related technical field
  • Minimum Experience: 8 years of experience in backend software engineering
  • Required Technical Skills: Must have at least 6 years of experience with:
    • Java and Python
    • Amazon Web Services (including Lambda, DynamoDB, S3, IAM, and CloudWatch)

Salary Ranges

Compensation: $110,100.00/Year - $157,300.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.

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