Senior Platform Engineer

Jobtailor

Jersey City (NJ)

On-site

USD 140,000 - 180,000

Full time

13 days ago

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Job summary

Jobtailor seeks a seasoned engineer to design, build, and run internal platforms including CI/CD pipelines, developer environments, deployment workflows, and shared services in a fast-paced team. You will craft automation for repetitive workflows, and prototype AI-assisted capabilities like LLM-powered code modification and migration automation.

You will own platform challenges from discovery to rollout, contribute to cloud foundations, and focus on reliability, scalability, and cost-efficiency,

Qualifications

5+ years building, shipping, and operating production software.
Experience in platform, infrastructure, developer experience, or similarly leverage-oriented roles.
Strong software generalist with systems knowledge.
Comfortable working across backend services, automation pipelines, infrastructure, and internal tools.
Fluency in at least one modern platform language such as Python or TypeScript.
Experience with cloud infrastructure, AWS preferred.
Experience with containers and Kubernetes.
Experience with infrastructure-as-code.
Experience with modern CI/CD systems.
Experience integrating LLMs or agent-based automation into real engineering workflows.
Ability to scope ambiguous problems, propose plans, and execute.
Product-minded approach to internal engineering customers.
Excellent written and verbal communication, including design documents, runbooks, and postmortems.
Ownership from design through deployment and on-call.
Nice to have: developer portals, service catalogs, or fleet/dependency management systems
Nice to have: large-scale code migration or modernization efforts
Nice to have: evaluation and observability practices for AI-powered systems
Ability to work legally in the United States, validated through e-Verify.

Responsibilities

Design, build, and operate internal platforms including CI/CD pipelines, developer environments, deployment workflows, and shared services
Create automation and self-service tools for repetitive, error-prone, or slow engineering workflows
Prototype and productionize AI-assisted engineering capabilities, including LLM-powered code modification, migration automation, and agentic operational workflows
Own ambiguous platform challenges from discovery through design, implementation, rollout, and adoption
Contribute to cloud and container foundations, including Kubernetes, infrastructure-as-code, networking, and observability
Improve infrastructure reliability, scalability, and cost-efficiency
Instrument platforms, define success metrics, and use telemetry and product-team feedback to guide development
Write design documents and tradeoff analyses
Partner with product teams to understand pain points and influence engineering practices
Take ownership through deployment and on-call, improving documentation and system reliability

Skills

CI/CD Pipeline Development

Cloud Infrastructure (AWS)

Kubernetes Container Management

Infrastructure-as-Code

LLM Integration

Python

TypeScript

Automation Tools

Backend Services

Systems Knowledge

Telemetry

Design Documentation

Runbooks

Postmortems

Code Migration

Tools

CI/CD Systems

Developer Portals

Service Catalogs

Dependency Management Systems

Job description

Design, build, and operate internal platforms including CI/CD pipelines, developer environments, deployment workflows, and shared services
Create automation and self-service tools for repetitive, error-prone, or slow engineering workflows
Prototype and productionize AI-assisted engineering capabilities, including LLM-powered code modification, migration automation, and agentic operational workflows
Own ambiguous platform challenges from discovery through design, implementation, rollout, and adoption
Contribute to cloud and container foundations, including Kubernetes, infrastructure-as-code, networking, and observability
Improve infrastructure reliability, scalability, and cost-efficiency
Instrument platforms, define success metrics, and use telemetry and product-team feedback to guide development
Write design documents and tradeoff analyses
Partner with product teams to understand pain points and influence engineering practices
Take ownership through deployment and on-call, improving documentation and system reliability

Requirements

5+ years building, shipping, and operating production software
Experience in platform, infrastructure, developer experience, or similarly leverage-oriented roles
Strong software generalist with systems knowledge
Comfortable working across backend services, automation pipelines, infrastructure, and internal tools
Fluency in at least one modern platform language such as Python or TypeScript
Experience with cloud infrastructure, AWS preferred
Experience with containers and Kubernetes
Experience with infrastructure-as-code
Experience with modern CI/CD systems
Experience integrating LLMs or agent-based automation into real engineering workflows
Ability to scope ambiguous problems, propose plans, and execute
Product-minded approach to internal engineering customers
Excellent written and verbal communication, including design documents, runbooks, and postmortems
Ownership from design through deployment and on-call
Nice to have: developer portals, service catalogs, or fleet/dependency management systems
Nice to have: large-scale code migration or modernization efforts
Nice to have: evaluation and observability practices for AI-powered systems
Ability to work legally in the United States, validated through e-Verify

Core Competencies

Demonstrates expertise in designing and operating internal platforms, including CI/CD pipelines and cloud infrastructure, while effectively integrating automation and AI-assisted engineering capabilities. Strong focus on improving system reliability, scalability, and cost-efficiency through ownership and collaboration with product teams.

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