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Aws Devops Engineer Consultant

Newark,NJ

1341 Aws Devops Engineer Consultant jobs in Newark,NJ

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Special Agent, $40,000 Recruitment Incentive

The United States Secret Service - Newark, NJ

The United States Secret Service - Newark, NJ

Special Agent, $40,000 Recruitment Incentive
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Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10025

~ 30 min OnsiteUrgently HiringEducation 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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Senior Portfolio Growth Manager, Professional Services, AWS Worldwide Startups

Amazon

New York, NY 10261

~ 30 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of developing, negotiating and executing business agreements experience
  • 5+ years of professional or military experience
  • 5+ years of working with Core Cloud Technology Services, including, but not limited to Compute, Edge, Hybrid, Security, and/or Networking experience
  • Experience selling technology into or co-building solutions with Professional Services Organizations including Consulting Partners, BCAPs, and SIs
  • Executive network within the Professional Services industry
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Chief Systems Engineer

L3 Harris

Clifton, NJ 07011

~ 19 min OnsiteUrgently HiringBilingual 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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Principal Engineer - Python API Development

Fidelity Investments

Belleville, NJ 07109

~ 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.
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New Product Manufacturing Engineer

CACI International Inc

Florham Park, NJ 07932

~ 30 min OnsiteUrgently Hiring

  • Ability to work independently with minimal supervision and mentor lower-level professionals.
  • Must be a US person.
  • BA/BS degree in a technical discipline from an accredited college or university.
  • Minimum of five (5) years of experience as a manufacturing engineer or in a related role.
  • Percentage of Travel Required: Up to 10%
  • Type of Travel: Local
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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.
SmartExplore AI is experimental.
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HyCO Production and Low-Carbon Technology Engineer

Matheson Tri-Gas

Warren, NJ 07059

$70,000-$120,000/yr
~ 30 min OnsiteUrgently Hiring

  • Master's Degree in chemical engineering or bachelor's degree complemented with adequate expertise
  • Minimum 5 years'experience in industrial gas processes which includes direct engineeringexperience (developing HMBs, PFDs, P&IDs;, equipment sizing/specification)
  • Hydrogen, carbon monoxide, and syngas expertise
  • Technology identification, assessment, and mapping capabilities
  • Basic understanding of equipment design
  • Able to understand cross-impact between conceptual design, plant design and operations
  • High-level writing proficiency for formal and informal communications and documents including technical papers, assessments, funding, and grant application drafting, supporting technology sourcing and licensing agreement drafting and technical proposal writing
  • Candidate must beauthorized to work in the USA
  • Travel willing up to 25% and to flex work hours to ensure coverage of critical timelines
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Senior DevSecOps Engineer

capital group

New York, NY 10261

Flexible Schedule
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Electronic Warfare, Systems Engineering Lead

L3 Harris

Clifton, NJ 07011

~ 19 min OnsiteUrgently HiringBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree and minimum 9 years of prior relevant experience.
  • Graduate Degree and a minimum of 7 years of prior related experience.
  • In lieu of a degree, minimum of 13 years of prior related experience.
  • 9 years of experience in systems engineering for radar, RF, or sensor systems
  • Ability to obtain secret clearance
  • Travel as needed to support program execution and customer engagement, including periodic travel to Amityville, NY - 25%
  • 10%-20% travel
  • Background checks
  • Pre-employment substance abuse testing
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Director of Engineering

Marine Electric Systems

South Hackensack, NJ 07606

~ 26 min OnsiteUrgently HiringHealth 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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