1082 Software Release Engineer jobs in New York,NY
New, Posted 21 hours ago
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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.
New, Posted 21 hours ago
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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.
New, Posted 8 hours ago
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Technology Test Engineer
LMI Consulting, LLC
New York, NY 10001
Easy Apply
Remote Customer Service
Hire Standard Staffing
New York, NY
$120,000/yr
RemoteHealth Insurance
- Must be a U.S. or Canadian citizen
New, Posted 14 hours ago
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Associate, Monitoring and Testing
Goldman Sachs & Co. LLC
Jersey City, NJ 07311
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Information Technology Professional (IT Support)
U.S. Navy
Secaucus, NJ 07094
New, Posted 14 hours ago
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Senior Research Analyst (U.S. Internet/Technology)
Bernstein Institutional Services LLC
New York, NY 10060
$225,000-$450,000/yr
New, Posted just now
Software Architect (Avelabs LLC Egypt)
Arrow Electronics
Jamaica, NY 11435
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Software Development JOB Training 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.
- Available Monday-Friday throughout the duration of the program
- Highly motivated to learn technical and professional skills
- Have not obtained a Bachelor's degree
- You may be required to answer additional screening questions when applying
New, Posted 20 hours ago
ResumeLibrary
Software Acceleration Associate (Entry Level Sales) - New York City, NY
Thryv
New York, NY 10001
$90,400/yr
New, Posted 1 day ago
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Senior Associate, ServiceNow Software Asset Management (SAM)
KPMG
New York, NY 10025
OnsiteHealth InsuranceRetirement Benefit
- Minimum of three years of experience with techniques such as assessing and planning IT capabilities, IT cost and performance management, IT solutions architecture, portfolio, program and project management, and transformational change
- Bachelor's degree in Computer Science, Computer Engineering or related technical field from an accredited college/university
- Deep understanding and hands-on experience with ServiceNow Software Asset Management (SAM), in addition to broader ServiceNow, IT management, enterprise strategy, IT supply chain, and information management disciplines
- Experience in IT process improvement within your own organization or as an external consultant
- Strong business, technical, analytical, problem-solving, and verbal and written communication skills
What companies are hiring Software Release Engineer jobs in New York,NY?
- Fidelity Investments
- LMI Consulting, LLC
- Hire Standard Staffing
- Goldman Sachs & Co. LLC
- U.S. Navy
- Bernstein Institutional Services LLC
- Arrow Electronics
- Year Up United
- Thryv
- KPMG
- Fidelity Investments
- LMI Consulting, LLC
- Hire Standard Staffing
- Goldman Sachs & Co. LLC
- U.S. Navy
- Bernstein Institutional Services LLC
- Arrow Electronics
- Year Up United
- Thryv
- KPMG
What is the yearly salary range for Software Release Engineer jobs in New York,NY?
The yearly salary range is $90400 - $450000.
The yearly salary range is $90400 - $450000.
