1134 Dot Net Developer Mid Level jobs in New York,NY
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Principal Engineer - Python API Development
Fidelity Investments
Jersey City, NJ 07311
~ 22 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
- 8+ years (typically 10+) building and operating production platforms and services at scale
- Deep software engineering expertise in Python and distributed systems
- A track record of building production‑grade services, libraries, and internal platforms
- Linux fluency and scripting are required
- Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
- Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
- DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
- Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
- ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
- Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
- Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
- Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
- Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
- Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
- Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
- Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
- Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
- The base salary range for this position is $107,000-216,000 USD per year.
- Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
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Principal Engineer - Python API Development
Fidelity Investments
Hoboken, NJ 07030
~ 16 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
- 8+ years (typically 10+) building and operating production platforms and services at scale
- Deep software engineering expertise in Python and distributed systems
- A track record of building production‑grade services, libraries, and internal platforms
- Linux fluency and scripting are required
- Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
- Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
- DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
- Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
- ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
- Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
- Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
- Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
- Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
- Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
- Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
- Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
- Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
- The base salary range for this position is $107,000-216,000 USD per year.
- Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
ResumeLibrary
Flexible Remote Data Entry Clerk - Work from Home
Apex Focus Group
Jersey City, NJ 07305
$750/wk
RemoteNo Experience
New, Posted 1 day ago
Remote Online Tasks – Earn Up to $1,500/month Playing Games
Free Cash
New York, NY 10119
$1,500/mo
Remote
Easy Apply
Remote Customer Service
Hire Standard Staffing
New York, NY
$120,000/yr
RemoteHealth Insurance
- Must be a U.S. or Canadian citizen
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Entry Level Programming Opportunity
Year Up United
New York, NY 10261
$525/wk
Onsite
- A high school graduate or GED recipient
- Eligible to work in the U. S.
- Highly motivated to learn technical and professional skills
- Have not obtained a Bachelor's degree
Frito-Lay - Warehouser/Material Handler $18-$26/hr
Frito Lay
West New York, NJ 07093
$18-$26/hr
No Experience
UPS - Warehouse Worker/Package Handler $21+/hr
UPS
Jersey City, NJ 07305
$21/hr
No Experience
Culinary Agents
Bakery Team Member (Service Counter) - Part Time
Whole Foods Market - Upper East Side
New York, NY 10128
$18-$25.40/hr
No ExperienceFlexible Schedule
Easy Apply
Shipping Lead
Adecco
Clifton, NJ 07011
$23/hr
~ 30 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit
- High School Diploma or GED.
- Ability to read and write in English.
- Basic Microsoft Office skills (Outlook, Excel, Word).
- Strong communication, organizational, and problem-solving skills.
- Ability to stand, walk, and lift up to 25 lbs.
- Ability to work flexible schedules, including weekends if needed.
New, Posted 22 hours ago
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Photonic Assembly and Test Technician
CACI International Inc
Florham Park, NJ 07932
~ 50 min Onsite
- Associates degree in engineering or a closely related technical field, or equivalent combination of education, skill, and experience
- Minimum of 3 years of "hands-on" photonic or electrical fabrication, test, and measurement experience
- Ability to follow detailed work instructions or test procedures
- Prior experience with custom fine assembly
- Must be computer savvy and a competent user of Microsoft Office products
- Good interpersonal and communication (written and oral) skills
- Must be a U.S. person able to receive export-controlled information
What companies are hiring Dot Net Developer Mid Level jobs in New York,NY?
- Fidelity Investments
- Apex Focus Group
- Free Cash
- Hire Standard Staffing
- Year Up United
- Frito Lay
- UPS
- Whole Foods Market - Upper East Side
- Adecco
- CACI International Inc
- Fidelity Investments
- Apex Focus Group
- Free Cash
- Hire Standard Staffing
- Year Up United
- Frito Lay
- UPS
- Whole Foods Market - Upper East Side
- Adecco
- CACI International Inc
What is the hourly salary range for Dot Net Developer Mid Level jobs in New York,NY?
The hourly salary range is $18 - $26.
The hourly salary range is $18 - $26.
