2548 Aws Devops Engineer Consultant jobs in Newark,NJ
New, Posted 6 hours ago
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Principal Engineer - Python API Development
Fidelity Investments
Harrison, NJ 07029
~ 7 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 6 hours ago
Apply Directly
Principal Engineer - Python API Development
Fidelity Investments
Newark, NJ 07175
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 6 hours ago
DiversityJobs
Senior Associate, Cloud DevOps Engineer
KPMG
Montvale, NJ 07645
New, Posted 6 hours ago
DiversityJobs
Senior Technical Analyst
Relativity
Newark, NJ 07175
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Information Technology Professional (IT Support)
U.S. Navy
East Newark, NJ 07029
New, Posted 5 hours ago
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Sr. Data Science & AI Engineer
NYU Langone Health
New York, NY 10016
$101,493.51-$147,000/yr
New, Posted 5 hours ago
ResumeLibrary
Software Acceleration Associate (Entry Level Sales) - New York City, NY
Thryv
New York, NY 10001
$90,400/yr
New, Posted 3 hours ago
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IT Support Engineer I, Ops Tech Solutions (OTS)
Amazon.com Services LLC
Teterboro, NJ 07699
Requires TravelHealth InsurancePaid Time OffRetirement Benefit
- High school or equivalent diploma
- 2+ years of professional experience
- Bachelor's degree, or experience in one or more IT related fields including networking, Linux administration, Microsoft administration, and/or Cisco network configuration and management
- 2+ years of troubleshooting in a multi-user high availability environment experience
- 2+ years of networking (such as DNS, DHCP, SSL, OSI Model, and TCP/IP) experience
- 2+ years of PC repair, troubleshooting, deployment and liquidation experience
- 1+ years of IT client, server, and network service delivery experience
- Possess and maintain a current, valid Driver License
New, Posted 1 day ago
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Senior Test Engineering Technician - AI Data Center Systems (Servers & GPUs)
Advanced Micro Devices
Secaucus, NJ 07094
~ 19 min Onsite
- Associate degree in computer science, computer engineering, Information technology or equivalent experience preferred.
- CompTIA A+ or equivalent experience.
- CompTIA Server+ or equivalent experience.
- Windows OS experience.
Easy Apply
PIPELINE - Field Service Technician – Laptop Memory Upgrade (HP EliteBook Series)
Adecco
New York, NY 10025
$34.39/hr
~ 30 min OnsiteHealth InsurancePaid Time OffRetirement Benefit
- Experience with laptop hardware repair or upgrades.
- Basic understanding of BIOS and system boot processes.
- Strong attention to detail and manual dexterity.
- Ability to follow standardized technical procedures.
- Comfortable working in a fast-paced, high-volume environment.
- Prior field service or depot repair experience.
- Experience with RAM installation and troubleshooting.
- Strong multitasking and customer service skills.
New, Posted 3 hours ago
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Senior Portfolio Growth Manager, Digital Native, AWS Worldwide Startups
Amazon
New York, NY 10261
~ 30 min OnsiteHealth InsurancePaid Time OffRetirement Benefit
- 5+ years of solving problems with technology in the Global Financial Services Industry experience
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience selling enterprise software or cloud-based applications
- Experience explaining complex technical concepts to various business and technical audiences
What companies are hiring Aws Devops Engineer Consultant jobs in Newark,NJ?
- Fidelity Investments
- KPMG
- Relativity
- U.S. Navy
- NYU Langone Health
- Thryv
- Amazon.com Services LLC
- Advanced Micro Devices
- Adecco
- Amazon
- Fidelity Investments
- KPMG
- Relativity
- U.S. Navy
- NYU Langone Health
- Thryv
- Amazon.com Services LLC
- Advanced Micro Devices
- Adecco
- Amazon
What is the hourly salary range for Aws Devops Engineer Consultant jobs in Newark,NJ?
The hourly salary range is $34.39 - $34.39.
The hourly salary range is $34.39 - $34.39.
