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Associate Devops Engineer

New York,NY

860 Associate Devops Engineer jobs in New York,NY

New, Posted 17 hours ago
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Senior Associate, Data Engineer - Databricks

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer
  • Preferably Databricks certified
  • Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university
  • Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks) and experience with (preferably driving) technical workshops with technical and business clients to derive value added services and implementations
  • Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms
  • Experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
  • Hands-on technical experience with SQL and Apache Spark
  • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future and travel as needed
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New, Posted 22 hours ago
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Senior Test Engineering Technician - AI Data Center Systems (Servers & GPUs)

Advanced Micro Devices

Secaucus, NJ 07094

~ 18 min OnsiteUrgently Hiring

  • 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.
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Principal Engineer - Python API Development

Fidelity Investments

Newark, NJ 07175

~ 28 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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Chief Systems Engineer

L3 Harris

Clifton, NJ 07011

~ 30 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree with a minimum of 12 years of prior related experience.
  • Graduate Degree with a minimum of 10 years of prior related experience.
  • In lieu of a degree, minimum of 16 years of prior related experience.
  • 2 years of experience in Cameo and SysML v1
  • 3 years experience with Agile development and using JIRA
  • Active Secret Security Clearance- Ability to obtain and maintain any additional clearances as required.
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AI Engineer

Capital One

New York, NY 10001

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Manufacturing Engineer

Whippany Actuation Systems

Whippany, NJ 07981

$90,000-$110,000/yr
~ 50 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • A bachelor's degree in manufacturing, Aerospace, or Mechanical Engineering from an accredited university or college;
  • One year of experience in a manufacturing environment which includes interpreting blueprints and familiarity with GD&T;
  • Previous experience with CAD systems;
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Digital Pathology Field Service Engineer

TD Synnex

New York, NY

Flexible Schedule
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Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10025

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience
  • An advanced degree is a plus
  • Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes). Demonstrated success in setting vision and executing across complex, multi-year technology programs
  • Alpha generation workflows or closely related quantitative research processes in finance/investments
  • Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray)
  • API-first platform design and developer experience best practices
  • AI/ML applications for workflow automation, data validation, and operational excellence
  • Modern stack knowledge and skills - e.g. Python, Polars, Ray, MLFlow or equivalent technology
  • Demonstrated strength in partnership-building and cross-functional collaboration
  • Able to influence and align product teams, platform/infrastructure teams, and governance bodies around a common vision and roadmap
  • Ability to operate in complex market and organizational contexts, translating strategic objectives into actionable plans
  • Proven track record of driving innovation, navigating ambiguity, and delivering measurable outcomes at scale
  • AI-First, Human-in-the-Loop: Embraces AI-driven solutions as a default for efficiency and scale, while keeping expert human judgment in critical loops to ensure quality and trust
  • Platform Over People: Prioritizes building robust platforms and automation over relying on individual heroic efforts, enabling sustainable and scalable growth
  • Single Front Door: Advocates for a unified user experience where researchers and stakeholders have one intuitive portal for all their needs, simplifying access and support
  • Standardization Everywhere: Drives consistency in tools, processes, and data across the board, reducing complexity and improving interoperability and maintainability
  • Self-Service as the Default: Champions self-service capabilities, empowering users to accomplish tasks independently (from data ingestion to model deployment) without bespoke engineering work
  • Deep Co-Ownership with PMG: Fosters a culture of partnership with the Portfolio Management Group, aligning closely on priorities, sharing roadmaps and KPIs, and co-owning outcomes to ensure the platform truly meets investment teams' needs
  • For New York, NY Only the salary range for this position is USD$225,000.00 - USD$285,000.00
  • Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits
  • BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance
  • 4 days in the office per week, with the flexibility to work from home 1 day a week
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Director of Engineering

Marine Electric Systems

South Hackensack, NJ 07606

~ 26 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Electrical Engineering or a closely related engineering discipline.
  • Significant experience in electrical engineering, sustaining engineering, production engineering, test engineering, or engineering leadership in a manufacturing environment.
  • Strong hands-on technical knowledge of electrical and electromechanical systems.
  • Experience with PCB troubleshooting, electrical testing, components, assemblies, and production support.
  • Ability to read and interpret drawings, schematics, specifications, technical data packages, and test procedures.
  • Experience supporting manufacturing, production, repair, or sustainment work.
  • Ability to make practical engineering decisions with imperfect information.
  • Strong communication skills and ability to work cross-functionally with production, quality, procurement, sales, and leadership.
  • Demonstrated ability to mentor junior engineers or technical staff.
  • Strong organizational skills and ability to create structure in a fast-moving small-company environment.
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Technical Trainer

Oerlikon Surface Solutions

Westbury, NY 11590

$95,000-$130,000/yr
~ 40 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Very experienced in Thermal Spray Technology and/or Surface Technology
  • Solid skills in developing training offerings and management and/or execution of the same
  • Strong personality with very good communication skills
  • Exceptional customer and service orientation as well as technology savvy with high problem solving skills
  • Experienced in international and cross-cultural business environment
  • Integrative personality and good organizing skills
  • Open personality with positive and supportive mindset
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