Platform Engineering Lead Jobs in New York
Platform Engineering Lead jobs in New York are in strong and sustained demand, concentrated in financial services, media and entertainment, and enterprise technology, with openings at every level from senior individual contributor through director-track leadership. The heaviest hiring activity is in New York City, with secondary clusters in Buffalo and Albany driven by healthcare systems, state government modernization, and regional tech operations. Well-established employers with consistent platform engineering lead hiring in New York include JPMorgan Chase, Verizon, and Citi. The most sought-after specializations are Kubernetes and container orchestration, cloud infrastructure on AWS and Azure, and internal developer platform design. Find a role that fits below and apply directly.
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Showing 5 of 45+ Platform Engineering Lead jobs
About Wonder
Everything’s on the menu at Wonder. Except compromise.
Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they’re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot.
Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale.
Join us as we work to make great food more accessible.
About The Team
Developer Experience & AI Velocity is a new team chartered to own developer experience for Wonder Engineering — 400+ engineers across multiple converging organizations — with AI as the primary lever. We build the tools, integrations, and practices that let engineers ship faster, with less overhead and controlled costs.
AI coding tools are now a primary interface for writing, reviewing, testing, and debugging software at Wonder, but adoption so far has been left to individual engineers with no team officially owning the space. We're changing that: standing up the toolchains, workflows, and golden paths that a combined engineering org will run on, starting with code review at scale, context infrastructure for AI agents, and AI-assisted paths for well-understood engineering work.
About The Opportunity
We're looking for a Senior Software Engineer to help stand up this team from its earliest days and bring AI-enabled development practices to Wonder Engineering. You'll design and build solutions to solve context fragmentation, MCPs/CLIs, skills, sub-agents, and integrations that connect AI tooling to Wonder's codebases and systems, and the AI-assisted workflows — code generation, review, testing, documentation, refactoring, on-call/incident management — that engineers use every day.
This person brings proven AI-tooling developer patterns and practices from outside Wonder that we haven't yet discovered internally. You'll partner closely with the team's other engineers across the company, each of whom owns a distinct part of the developer-experience surface area, and with the platform, infrastructure, and application teams whose workflows you're improving.
The Impact You Will Make
Build AI-Native Developer Tooling: Design and ship Context aggregation solutions, MCPs/CLIs, skills, and sub-agents that give AI coding tools sanctioned, reliable access to Wonder's codebases, services, and systems. Help define and stand up Wonder's autonomous development agents and cloud agent solutions.
Bring Outside Patterns In: Bring a sharp point of view on where AI-assisted development actually creates leverage across review, testing, code generation, and documentation, and translate the best emerging practices into standards that fit Wonder's stack, scale, and constraints.
Raise the Ceiling on Review: Contribute to pre-review and triage tooling that clears and automates mechanical and policy issues before a human looks, and help define standards for reviewing AI-generated code.
Instrument for Efficiency, Not Just Adoption: Design and implement the systems that optimize AI costs across the org and abstract model selection away from engineers' day to day, so the platform routes each task to the right model at the right cost without every engineer having to reason about it. Help define and measure Developer velocity.
Guide Technical Outcomes: Scope, design, and ship developer tooling with minimal oversight, weighing tradeoffs and partnering with platform, infrastructure, and application teams to land it in production.
Communicate Effectively: Write clear specs and documentation, and provide, seek, and incorporate feedback from a team and organization still defining its own practices.
What You Bring to the Table
Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience
5+ years of professional software engineering experience, including recent, hands-on work building with or on top of LLM-based tooling (agents, MCP servers, coding assistants, or similar).
Direct experience integrating AI tools into real development workflows — code review, testing, code generation, or documentation — beyond individual use as an end user.
Strong system design skills and a track record of owning tools or platforms end-to-end, from design through adoption.
Comfort operating with ambiguity: this is a new team without established playbooks, and you'll be shaping them.
Experience designing and consuming APIs, webhooks, or other integration/message-based systems.
Experience building developer tooling, internal platforms, CI/CD systems, or other software used by engineers as its primary users.
Experience with Java/JVM and/or Python is a plus, though not required.
A pragmatic approach to problem solving and the ability to troubleshoot complex technical obstacles.
Excellent communication and interpersonal skills, including the ability to drive technical discussions with engineers and leaders across multiple teams.
Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome—and encouraged—to be in the office up to 5 days a week if it works for you.
#LI-Hybrid
New York: $176,000 - $191,000 per year.
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.
Benefits
The benefits applicable to this role include a competitive compensation package with equity and a 401(k). We also offer a choice of medical, dental, and vision plans, company paid short and long term disability coverage, paid time off including flexible time off for exempt employees, paid vacation for non-exempt employees, and paid sick leave in compliance with applicable law in addition to paid parental leave, discounted meals and exclusive perks across the Wonder family of brands.
Eligibility, effective dates, and available plan options vary by employment classification and location. To learn more about benefits for this role, visit our Careers page here.
A Final Note
At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know.
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.
About Wonder
Everything’s on the menu at Wonder. Except compromise.
Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they’re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot.
Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale.
Join us as we work to make great food more accessible.
About The Team
Developer Experience & AI Velocity is a new team chartered to own developer experience for Wonder Engineering — 400+ engineers across multiple converging organizations — with AI as the primary lever. We build the tools, integrations, and practices that let engineers ship faster, with less overhead and controlled costs.
AI coding tools are now a primary interface for writing, reviewing, testing, and debugging software at Wonder, but adoption so far has been left to individual engineers with no team officially owning the space. We're changing that: standing up the toolchains, workflows, and golden paths that a combined engineering org will run on, starting with code review at scale, context infrastructure for AI agents, and AI-assisted paths for well-understood engineering work.
About The Opportunity
We're looking for a Senior Software Engineer to help stand up this team from its earliest days and bring AI-enabled development practices to Wonder Engineering. You'll design and build solutions to solve context fragmentation, MCPs/CLIs, skills, sub-agents, and integrations that connect AI tooling to Wonder's codebases and systems, and the AI-assisted workflows — code generation, review, testing, documentation, refactoring, on-call/incident management — that engineers use every day.
This person brings proven AI-tooling developer patterns and practices from outside Wonder that we haven't yet discovered internally. You'll partner closely with the team's other engineers across the company, each of whom owns a distinct part of the developer-experience surface area, and with the platform, infrastructure, and application teams whose workflows you're improving.
The Impact You Will Make
Build AI-Native Developer Tooling: Design and ship Context aggregation solutions, MCPs/CLIs, skills, and sub-agents that give AI coding tools sanctioned, reliable access to Wonder's codebases, services, and systems. Help define and stand up Wonder's autonomous development agents and cloud agent solutions.
Bring Outside Patterns In: Bring a sharp point of view on where AI-assisted development actually creates leverage across review, testing, code generation, and documentation, and translate the best emerging practices into standards that fit Wonder's stack, scale, and constraints.
Raise the Ceiling on Review: Contribute to pre-review and triage tooling that clears and automates mechanical and policy issues before a human looks, and help define standards for reviewing AI-generated code.
Instrument for Efficiency, Not Just Adoption: Design and implement the systems that optimize AI costs across the org and abstract model selection away from engineers' day to day, so the platform routes each task to the right model at the right cost without every engineer having to reason about it. Help define and measure Developer velocity.
Guide Technical Outcomes: Scope, design, and ship developer tooling with minimal oversight, weighing tradeoffs and partnering with platform, infrastructure, and application teams to land it in production.
Communicate Effectively: Write clear specs and documentation, and provide, seek, and incorporate feedback from a team and organization still defining its own practices.
What You Bring to the Table
Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience
5+ years of professional software engineering experience, including recent, hands-on work building with or on top of LLM-based tooling (agents, MCP servers, coding assistants, or similar).
Direct experience integrating AI tools into real development workflows — code review, testing, code generation, or documentation — beyond individual use as an end user.
Strong system design skills and a track record of owning tools or platforms end-to-end, from design through adoption.
Comfort operating with ambiguity: this is a new team without established playbooks, and you'll be shaping them.
Experience designing and consuming APIs, webhooks, or other integration/message-based systems.
Experience building developer tooling, internal platforms, CI/CD systems, or other software used by engineers as its primary users.
Experience with Java/JVM and/or Python is a plus, though not required.
A pragmatic approach to problem solving and the ability to troubleshoot complex technical obstacles.
Excellent communication and interpersonal skills, including the ability to drive technical discussions with engineers and leaders across multiple teams.
Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome—and encouraged—to be in the office up to 5 days a week if it works for you.
#LI-Hybrid
New York: $176,000 - $191,000 per year.
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.
Benefits
The benefits applicable to this role include a competitive compensation package with equity and a 401(k). We also offer a choice of medical, dental, and vision plans, company paid short and long term disability coverage, paid time off including flexible time off for exempt employees, paid vacation for non-exempt employees, and paid sick leave in compliance with applicable law in addition to paid parental leave, discounted meals and exclusive perks across the Wonder family of brands.
Eligibility, effective dates, and available plan options vary by employment classification and location. To learn more about benefits for this role, visit our Careers page here.
A Final Note
At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know.
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.
See All 45 Platform Engineering Lead Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find JobsPlatform Engineering Lead Jobs by City in New York
Where New York roles are concentrated, by current openings.
Platform Engineering Lead Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Fintech
- Science & Research
What New York Employers Look For
The qualifications that appear most often in platform engineering lead jobs across New York.
- Bachelor's degree in computer science, software engineering, or a closely related technical field
- Hands-on experience designing and operating large-scale cloud infrastructure on AWS, Azure, or GCP
- Demonstrated leadership of platform or site reliability engineering teams in a production environment
- Deep proficiency with Kubernetes, container orchestration, and infrastructure-as-code tools like Terraform
- Experience building internal developer platforms and improving developer experience across engineering organizations
- Strong cross-functional collaboration skills working with security, product, and software engineering stakeholders
Platform Engineering Lead Jobs in New York: Frequently Asked Questions
How do you become a platform engineering lead in New York?
Platform engineering lead is not a licensed profession in New York, so there is no state-issued credential required to work in the role. The typical New York hiring path starts with a computer science or engineering degree followed by several years as a software or infrastructure engineer, then a move into senior platform or site reliability engineering before stepping into a lead position. New York employers, particularly in financial services and media, place strong weight on hands-on Kubernetes, cloud architecture, and internal tooling experience alongside demonstrated team leadership.
How much do platform engineering leads make in New York?
Platform engineering leads in New York earn a median of about $175,710 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $128,500 for the lowest 10% to over $274,870 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire platform engineering leads in New York?
Employers hiring platform engineering leads in New York right now include M&T Bank, Forge Global, and JPMorganChase, based on current listings on Migrate Mate as of September 2026. New York's dense concentration of financial institutions, large media companies, and enterprise technology firms means platform engineering lead demand here tends to run deeper and more continuously than in most other states.
Which New York cities have the most platform engineering lead jobs?
The most platform engineering lead openings in New York are concentrated in New York, New York State, and Buffalo. New York City accounts for the vast majority of listings, driven by its density of financial services headquarters, major media and advertising technology companies, and large enterprise tech operations, while any openings outside the city typically reflect healthcare system modernization efforts or state and local government infrastructure projects.
Are there remote platform engineering lead jobs in New York?
Yes, and more than most fields, since platform engineering work is almost entirely software and infrastructure-based and does not require physical presence. About 78% of platform engineering lead openings tied to New York are remote or hybrid as of September 2026, reflecting how broadly distributed engineering teams have become across the industry. The parts of the role most commonly done fully remote are architecture design, infrastructure-as-code development, and internal tooling work, while on-call incident response and team leadership often favor hybrid arrangements.
How can I get hired as a platform engineering lead in New York with little or no experience?
The most realistic entry path is through a site reliability engineer or DevOps engineer role at a mid-to-large New York employer, then building toward a lead designation over time. Financial services firms like JPMorgan Chase and Citi run structured associate and rotational technology programs in New York that place candidates without extensive experience into infrastructure-adjacent roles. Building a visible portfolio of Kubernetes, Terraform, or internal platform projects, earning a cloud certification on AWS or Google Cloud, and contributing to open-source platform tooling are the credentials New York hiring teams consistently cite as differentiators for candidates making the transition.
Where can I find and apply to platform engineering lead jobs in New York?
You can find and apply to platform engineering lead jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the listings to find roles that match your experience level, preferred location, and specialization, then apply directly to the ones that fit.
See All 45 Platform Engineering Lead Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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