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Sr. Full Stack Engineer - AWS/AI

Microservices, CI/CD Tools , AWS, API, Kafka, AI , React, Angular

Remote Full-Time (Out of town candidates welcome)

Alternate Text

Job ID: 21367

jobtype Contract to Hire

$40.79 - $81.57

*This salary range is merely an estimate and may vary based on an applicant’s location, market conditions, skills, prior relevant experience, certain degrees and certifications, and other relevant factors.

Senior Full Stack Engineer - AWS Microservices, Real-Time Feed & Al Assistant (ASR)

Location: Remote Department: Engineering Reports to: Engineering Manager/ Technical Lead

About the Role

We're looking for a Senior Full Stack Engineer to design and build our application - front end through back end - with a focus on real-time data/feed processing delivered via an AWS-based microservices architecture. You'll write high-quality code across the stack, use Al coding tools (Claude Code, OpenAI Codex) to accelerate delivery, and contribute to an Al-powered in-product assistant feature built on Automatic Speech Recognition (ASR).

A core part of this role is end-to-end ownership of your solutions - from working with the Product Manager and end users to shape requirements, through design and implementation, to testing and post-launch support.

This is a hands-on individual contributor role: part architect, part builder, with real influence over technical direction. You'll partner with engineering leadership, product, data science/ML, and design to ship a responsive, intelligent, and reliable application experience.

What You'll Do

Full Stack Application Development

  • Design and build features across the full stack - frontend, backend, APls, and data layer.
  • Write high-quality, well-tested production code, including in high-complexity or high-risk areas of the codebase.
  • Contribute to architecture decisions for core app features, with an eye toward scalability, maintainability, and performance.
  • Weigh in on build-vs-buy and platform decisions as the application evolves.

    Real-Time Feed Infrastructure
  • Build low-latency data/feed pipelines (streaming ingestion, event-driven processing, WebSockets/SSE, message queues) to deliver real-time updates to users.
  • Help define and monitor SLOs for latency, throughput, and feed reliability.
  • Design for resilience under variable load (traffic spikes, bursty data, live events).
  • Participate in incident response and root-cause analysis when real-time delivery degrades.AWS Architecture & Microservices
  • Design and build services within the AWS-based microservices architecture - service boundaries, inter-service communication, and data ownership per service.
  • Work with core AWS building blocks (e.g., ECS/EKS or Lambda for compute, API Gateway, SQS/SNS or Kinesis/MSK for messaging and streaming, RDS/DynamoDB for data, S3 for storage, CloudFront for delivery).
  • Implement service discovery, inter-service auth, and API contracts (REST/gRPC) across microservices.
  • Use infrastructure-as-code practices (e.g., Terraform, CDK, CloudFormation) for repeatable, auditable environment provisioning.
  • Contribute to AWS cost, scaling, and security posture for the services you own - right-sizing, autoscaling policies, 1AM least-privilege, and VPC/network design.
  • Build observability into your services (distributed tracing, centralized logging, metrics) so real-time and ASR pipelines stay debuggable in production.Al Coding Tools - Your Development Workflow
  • Use Al coding assistants (Claude Code, OpenAI Codex, or equivalent) to accelerate your own development velocity.
  • Apply team best practices for effective, safe Al-assisted coding - prompting patterns, review standards, and extra scrutiny where Al-generated code needs it.
  • Try out new Al development tooling as it matures and share feedback on what works.
  • Hold Al-assisted code contributions to the same (or higher) quality bar as hand-written code.In-Product Al Assistant - ASR Feature Development
  • Build features for an in-product Al assistant that operates on real-time audio/data feeds - including integration of Automatic Speech Recognition (ASR) for live transcription.
  • Implement the pipeline connecting live audio capture? ASR transcription?downstream Al

    processing (summarization, entity extraction, contextual suggestions, etc.)? user-facing output, all with minimal latency.

  • Help evaluate ASR providers/models (e.g., Whisper, Google Speech-to-Text, Azure Speech, Assembly Al, or custom models) based on accuracy, latency, and cost.

  • Design for streaming inference - partial/interim transcripts, incremental updates, and graceful handling of noisy or degraded audio.
  • Collaborate with ML/data science partners on model selection, fine-tuning, and evaluation of transcription and downstream Al quality.
  • Help build feedback loops and quality metrics (word error rate, latency percentiles, user correction rates) to continuously improve the assistant experience.

    End-to-End Solution Ownership

  • Own your solutions end to end - from understanding the requirement through design, implementation, testing, deployment, and post-launch support.
  • Work directly with the Product Manager to clarify requirements, scope tradeoffs, and translate business needs into technical solutions.
  • Engage with end users to understand real-world usage, gather feedback, and validate that solutions actually solve their problem.
  • Take responsibility for quality across the full lifecycle: unit, integration, end-to-end, and regression testing across the full stack.
  • Meet and help enforce code coverage targets; proactively close gaps, including gaps introduced by Al-generated code.
  • Contribute to and maintain Cl/CD pipelines with automated test gates that block regressions before they ship.
  • Hold your own work to a clear definition of "done" - including test depth, documentation, and user validation - rather than handing off a feature and moving on.
  • Practice and promote good testing habits - TDD where appropriate, meaningful test cases (not just coverage-for-coverage's-sake), and fast, reliable test suites.
  • Close the loop after launch: monitor how your solution performs in production, follow up with the PM and end users, and iterate based on real feedback.

    Collaboration

  • Participate in code reviews, architecture discussions, and post-incident reviews.
  • Mentor junior engineers on the team as opportunities arise.
  • Communicate technical tradeoffs and progress clearly in a remote, async-friendly environment.

    What We're Looking For

    Must-Haves

  • 7+ years of full stack software engineering experience.
  • Proven experience building real-time or near-real-time applications at scale (streaming data, live feeds, event-driven systems).
  • Strong proficiency across the stack - modern frontend framework (React, Vue, Angular, etc.), backend services/ APls, and data persistence.
  • Hands-on experience using Al coding assistants (Claude Code, OpenAI Codex, or equivalent) in a professional development workflow.
  • Strong ownership mindset - comfortable driving a solution end to end and working directly with PMs and end users, not just executing tickets.
  • Strong ownership of testing practices and code coverage in a production codebase.
  • Experience integrating speech-to-text/ ASR technology into a product (live or batch transcription pipelines).
  • Experience with event-driven or streaming infrastructure (Kafka, Kinesis, WebSockets, gRPC streaming, or similar).
  • Hands-on experience building and operating microservices architectures on AWS (ECS/EKS, Lambda, API Gateway, SQS/SNS, RDS/DynamoDB, S3, or similar).
  • Working knowledge of infrastructure-as-code (Terraform, CDK, or CloudFormation) and Cl/CD for cloud-native services.
  • Excellent written communication - clear documentation and async collaboration are essential for a remote team.

    Nice-to-Haves

  • AWS certification (Solutions Architect, Developer Associate, or similar).
  • Experience with specific ASR platforms (Whisper, Google Speech-to-Text, Azure Speech, AssemblyAI, Deepgram, etc.).
  • Background integrating LLMs or other generative Al into a real-time, assistant-style product feature.
  • Experience with audio processing fundamentals (VAD, diarization, noise handling).
  • Familiarity with test automation frameworks (Jest, Cypress, Playwright, pytest, etc.) and coverage tooling.
  • Experience with containerization and orchestration (Docker, Kubernetes/EKS).

 


Supply Chain Analyst Lead

Supply Chain, Data Center Industry

Remote Full-Time (Out of town candidates welcome)

Project Engineer, Remote WEST (MST, PST)

Low Voltage

Remote Full-Time (Out of town candidates welcome)

Implementation Specialist- Data Center- Fiber Testing

Network, Low Voltage

Memphis, TN — Remote Full-Time (Out of town candidates welcome)

Manager Solution Architecture

Presales, Azure Cloud Solutions, Technical Management

Remote Full-Time (Out of town candidates welcome)

Azure Solution Architect

Presales, Solution Architect, Azure Cloud Solutions

Remote Full-Time (Out of town candidates welcome)

Principal QC Microbiologist

Bachelors Degree, Microbiology, Biochemistry

Brentwood, MO — Job Onsite

Sr. Cost Accountant

Excel, Manufacturing Cost Accounting, Bachelors Degree, Microsoft Dynamics

Maryland Heights, MO — Job Onsite

Implementation Specialist- Data Center rack builds/ Land & Level

Data Center

Remote Full-Time (Out of town candidates welcome)

Software Engineer

AWS, AngularJS, Docker/Containers , Node.JS, NoSQL

Edwardsville, IL — Job Onsite

Sr. Data Center Engineer- RDD Enterprise

CCNA, Data Center

Livermore, CA — Hybrid (Blend of Onsite/Work from Home)

Sr Mechanical Engineer

HVAC, analysis and design, AutoCAD, Revit

St. Louis, MO — Job Onsite

Sr. Data Center Engineer- RDD Enterprise

CCNA, Data Center

Buffalo Grove, IL — Hybrid (Blend of Onsite/Work from Home)

Project Administrator

Project Management, CAD

St. Louis, MO — Job Onsite

Account Manager

Excel

St. Louis, MO — Job Onsite

Project Scheduler

MS Project, Cost Management, Construction, Primavera

St. louis, MO — Job Onsite

CNC Setup Machinist - 2nd Shift

CNC Equipment

St. Louis, MO — Job Onsite

Plumbing Designer

Piping Design, Mechanical/Plumbing Virtual Construction, Revit, AutoCAD, analysis and design

St. Louis, MO — Job Onsite

IT Systems Administrator

Windows Server, Active Directory

Fenton, MO — Job Onsite

Controls Engineer

PLC Programming, HMI/SCADA development,

Fenton — Job Onsite

Service Manager

Service Management, HVAC

Valley Park, MO — Job Onsite

CNC Machinist

CNC, Machine Tooling

Fenton, MO — Job Onsite

Hydromat CNC set up technician

CNC Equipment

Job Onsite

Assembly Supervisor

Excel, MS Office

St. Louis, MO — Job Onsite

Director of Mechanical & Plumbing Virtual Construction

Virtual Construction, Mechanical/Plumbing Construction, Revit

St. Louis, MO — Job Onsite

HR Coordinator

UKG, Recruiting, HR, Bachelors Degree

Sunset Hills, MO — Hybrid (Blend of Onsite/Work from Home)

Recruiting Manager

UKG, Recruiting

Sunset Hills, MO — Hybrid (Blend of Onsite/Work from Home)

Digitial MEP Lead (Mechanical, Electrical, Plumbing)

Trimble RTS, Rivet, Virtual Construction

St. Louis, MO — Job Onsite

Product Engineer

analysis and design, Solidworks, AutoCAD, Labview

Fenton, MO — Job Onsite

Implementation Specialist- Data Center

Fiber Optics, Data Center, Low Voltage

Remote Full-Time (Out of town candidates welcome)

Project Engineer- Data Center

Data Center, Fiber Optics, Low Voltage

Local Candidates Preferred (will consider Remote)

Sr. Full Stack Engineer - AWS/AI

Microservices, CI/CD Tools , AWS, API, Kafka, AI , React, Angular

Remote Full-Time (Out of town candidates welcome)

Job ID: 21367

jobtype  Contract to Hire

$40.79 - $81.57

*This salary range is merely an estimate and may vary based on an applicant’s location, market conditions, skills, prior relevant experience, certain degrees and certifications, and other relevant factors.

Senior Full Stack Engineer - AWS Microservices, Real-Time Feed & Al Assistant (ASR)

Location: Remote Department: Engineering Reports to: Engineering Manager/ Technical Lead

About the Role

We're looking for a Senior Full Stack Engineer to design and build our application - front end through back end - with a focus on real-time data/feed processing delivered via an AWS-based microservices architecture. You'll write high-quality code across the stack, use Al coding tools (Claude Code, OpenAI Codex) to accelerate delivery, and contribute to an Al-powered in-product assistant feature built on Automatic Speech Recognition (ASR).

A core part of this role is end-to-end ownership of your solutions - from working with the Product Manager and end users to shape requirements, through design and implementation, to testing and post-launch support.

This is a hands-on individual contributor role: part architect, part builder, with real influence over technical direction. You'll partner with engineering leadership, product, data science/ML, and design to ship a responsive, intelligent, and reliable application experience.

What You'll Do

Full Stack Application Development

  • Design and build features across the full stack - frontend, backend, APls, and data layer.
  • Write high-quality, well-tested production code, including in high-complexity or high-risk areas of the codebase.
  • Contribute to architecture decisions for core app features, with an eye toward scalability, maintainability, and performance.
  • Weigh in on build-vs-buy and platform decisions as the application evolves.

    Real-Time Feed Infrastructure
  • Build low-latency data/feed pipelines (streaming ingestion, event-driven processing, WebSockets/SSE, message queues) to deliver real-time updates to users.
  • Help define and monitor SLOs for latency, throughput, and feed reliability.
  • Design for resilience under variable load (traffic spikes, bursty data, live events).
  • Participate in incident response and root-cause analysis when real-time delivery degrades.AWS Architecture & Microservices
  • Design and build services within the AWS-based microservices architecture - service boundaries, inter-service communication, and data ownership per service.
  • Work with core AWS building blocks (e.g., ECS/EKS or Lambda for compute, API Gateway, SQS/SNS or Kinesis/MSK for messaging and streaming, RDS/DynamoDB for data, S3 for storage, CloudFront for delivery).
  • Implement service discovery, inter-service auth, and API contracts (REST/gRPC) across microservices.
  • Use infrastructure-as-code practices (e.g., Terraform, CDK, CloudFormation) for repeatable, auditable environment provisioning.
  • Contribute to AWS cost, scaling, and security posture for the services you own - right-sizing, autoscaling policies, 1AM least-privilege, and VPC/network design.
  • Build observability into your services (distributed tracing, centralized logging, metrics) so real-time and ASR pipelines stay debuggable in production.Al Coding Tools - Your Development Workflow
  • Use Al coding assistants (Claude Code, OpenAI Codex, or equivalent) to accelerate your own development velocity.
  • Apply team best practices for effective, safe Al-assisted coding - prompting patterns, review standards, and extra scrutiny where Al-generated code needs it.
  • Try out new Al development tooling as it matures and share feedback on what works.
  • Hold Al-assisted code contributions to the same (or higher) quality bar as hand-written code.In-Product Al Assistant - ASR Feature Development
  • Build features for an in-product Al assistant that operates on real-time audio/data feeds - including integration of Automatic Speech Recognition (ASR) for live transcription.
  • Implement the pipeline connecting live audio capture? ASR transcription?downstream Al

    processing (summarization, entity extraction, contextual suggestions, etc.)? user-facing output, all with minimal latency.

  • Help evaluate ASR providers/models (e.g., Whisper, Google Speech-to-Text, Azure Speech, Assembly Al, or custom models) based on accuracy, latency, and cost.

  • Design for streaming inference - partial/interim transcripts, incremental updates, and graceful handling of noisy or degraded audio.
  • Collaborate with ML/data science partners on model selection, fine-tuning, and evaluation of transcription and downstream Al quality.
  • Help build feedback loops and quality metrics (word error rate, latency percentiles, user correction rates) to continuously improve the assistant experience.

    End-to-End Solution Ownership

  • Own your solutions end to end - from understanding the requirement through design, implementation, testing, deployment, and post-launch support.
  • Work directly with the Product Manager to clarify requirements, scope tradeoffs, and translate business needs into technical solutions.
  • Engage with end users to understand real-world usage, gather feedback, and validate that solutions actually solve their problem.
  • Take responsibility for quality across the full lifecycle: unit, integration, end-to-end, and regression testing across the full stack.
  • Meet and help enforce code coverage targets; proactively close gaps, including gaps introduced by Al-generated code.
  • Contribute to and maintain Cl/CD pipelines with automated test gates that block regressions before they ship.
  • Hold your own work to a clear definition of "done" - including test depth, documentation, and user validation - rather than handing off a feature and moving on.
  • Practice and promote good testing habits - TDD where appropriate, meaningful test cases (not just coverage-for-coverage's-sake), and fast, reliable test suites.
  • Close the loop after launch: monitor how your solution performs in production, follow up with the PM and end users, and iterate based on real feedback.

    Collaboration

  • Participate in code reviews, architecture discussions, and post-incident reviews.
  • Mentor junior engineers on the team as opportunities arise.
  • Communicate technical tradeoffs and progress clearly in a remote, async-friendly environment.

    What We're Looking For

    Must-Haves

  • 7+ years of full stack software engineering experience.
  • Proven experience building real-time or near-real-time applications at scale (streaming data, live feeds, event-driven systems).
  • Strong proficiency across the stack - modern frontend framework (React, Vue, Angular, etc.), backend services/ APls, and data persistence.
  • Hands-on experience using Al coding assistants (Claude Code, OpenAI Codex, or equivalent) in a professional development workflow.
  • Strong ownership mindset - comfortable driving a solution end to end and working directly with PMs and end users, not just executing tickets.
  • Strong ownership of testing practices and code coverage in a production codebase.
  • Experience integrating speech-to-text/ ASR technology into a product (live or batch transcription pipelines).
  • Experience with event-driven or streaming infrastructure (Kafka, Kinesis, WebSockets, gRPC streaming, or similar).
  • Hands-on experience building and operating microservices architectures on AWS (ECS/EKS, Lambda, API Gateway, SQS/SNS, RDS/DynamoDB, S3, or similar).
  • Working knowledge of infrastructure-as-code (Terraform, CDK, or CloudFormation) and Cl/CD for cloud-native services.
  • Excellent written communication - clear documentation and async collaboration are essential for a remote team.

    Nice-to-Haves

  • AWS certification (Solutions Architect, Developer Associate, or similar).
  • Experience with specific ASR platforms (Whisper, Google Speech-to-Text, Azure Speech, AssemblyAI, Deepgram, etc.).
  • Background integrating LLMs or other generative Al into a real-time, assistant-style product feature.
  • Experience with audio processing fundamentals (VAD, diarization, noise handling).
  • Familiarity with test automation frameworks (Jest, Cypress, Playwright, pytest, etc.) and coverage tooling.
  • Experience with containerization and orchestration (Docker, Kubernetes/EKS).

 


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