Senior Middleware Engineer

Method360; New York (NY); On-site; USD 130,000 - 160,000; Full time

Job summary

A technology solutions firm is seeking a Senior Contract Middleware Engineer to serve as the technical lead for middleware platforms in enterprise environments. This role requires extensive experience in backend engineering, devops, and infrastructure engineering. The engineer will be accountable for architecture, implementation, and post-deployment stabilization. The position offers remote work with an anticipated start date in late April or early May 2026. A bachelor's degree in a related field and strong communication skills are essential.

Qualifications

• 10+ years of extensive professional experience in backend engineering or middleware platforms.
• Proven track record of owning end-to-end technical delivery of complex middleware platforms.
• Deep expertise in operating production systems at scale on Azure.

Responsibilities

• Own technical delivery of middleware platforms in enterprise environments.
• Design and maintain CI/CD pipelines, Terraform infrastructure, and Kubernetes deployments.
• Integrate AI services into middleware layers.

Skills

Backend engineering

Middleware platforms

DevOps

Infrastructure engineering

TypeScript

Node.js

Python

Kubernetes

Terraform

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

Azure

Docker

MongoDB

MySQL

Redis

Jupyter Notebooks

Job description

Overview

Method360 is seeking a Senior Contract Middleware Engineer. In this senior role, you will serve as the primary technical owner of complex middleware platform delivery across large-scale enterprise environments. You will be accountable for end-to-end architecture, implementation, rollout, and post-deployment stabilization — making high-stakes architectural and operational decisions independently in live production systems. You will design, implement, and debug CI/CD pipelines, infrastructure-as-code, Kubernetes deployments, and cloud networking. The client needs a battle-tested engineer who has owned middleware platforms under real production load and thrives in ambiguity.

Position

Title: Senior Middleware Engineer

Location: Remote/EST

Duration: 1 year

Start date: Late April/Early May 2026

Key Responsibilities

• Own end-to-end technical delivery of complex middleware platforms in enterprise environments, from architecture through post-deployment stabilization under real production load
• Personally design and maintain CI/CD pipelines, Terraform infrastructure, Kubernetes deployments, and Azure cloud networking configurations
• Architect and implement scalable middleware services using TypeScript, Node.js, and Python for high-throughput enterprise AI agent interactions
• Design and optimize database architectures across MongoDB, MySQL, and Redis for performance, reliability, and scale
• Lead incident response for production systems, including root cause analysis, performance bottleneck resolution, and live customer-impacting issue remediation
• Make independent architectural and operational decisions in high-stakes, ambiguous environments with full accountability for outcomes
• Integrate AI/LLM services (OpenAI, MCP) into middleware layers, including prompt orchestration, tool calling, and agent workflow pipelines
• Leverage Python, Pandas, and Jupyter Notebooks for data analysis, integration diagnostics, and performance benchmarking
• Articulate complex architectural decisions, system roadmaps, and production incident status to both highly technical teams and non-technical client executives
• Establish and document middleware best practices, integration patterns, and operational runbooks for the broader engineering organization

Required Qualifications

• 10+ years of extensive professional experience in backend engineering, middleware platforms, DevOps, or infrastructure engineering with hands-on production ownership
• Proven track record of owning end-to-end technical delivery of complex middleware platforms in large-scale enterprise environments
• Deep hands-on expertise designing, deploying, and operating production systems at scale on Azure, including Kubernetes, Docker, Terraform, and cloud networking
• Expert proficiency in TypeScript and Node.js; strong working knowledge of Python (Pandas, Jupyter) for data analysis and diagnostics
• Required Technical Stack: TypeScript, Node.js, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, MCP, Python, Pandas, Jupyter Notebooks
• Production experience with MongoDB, MySQL, and Redis at scale, including architecture design, failure mode handling, and performance optimization
• Demonstrated ability to act as primary technical owner in ambiguous, high-stakes environments — making architectural decisions independently and being accountable for outcomes in live enterprise systems
• Exceptional verbal and written communication skills with the capacity to articulate complex technical decisions to both engineering teams and non-technical client executives
• Bachelor’s degree in Computer Science, Engineering, or a related technical field

Preferred Qualifications

• Hands-on experience designing and deploying AI/LLM-powered production systems, including prompt orchestration, agent workflows, tool calling, vector databases, and latency/cost optimization
• Experience with MCP (Model Context Protocol) or similar AI tool-calling and agent integration frameworks
• Experience delivering software using AI-assisted development practices (e.g., Claude Code, Cursor, GitHub Copilot)
• Operational monitoring experience for AI/LLM workloads, including token usage tracking, model performance, and cost management
• Familiarity with conversational AI platforms, contact center technology, or enterprise CX automation solutions
• Prior experience in high-growth startup or scale-up environments where you were the senior technical authority on middleware or platform infrastructure

Method360 is proud to be an Equal Opportunity Employer