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Senior Devops Engineer

Edison,NJ

1195 Senior Devops Engineer jobs in Edison,NJ

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Senior Data Product Engineer, Commercial

Genmab

Plainsboro, NJ 08536

RemoteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years in data engineering, analytics engineering, or data platform development.
  • 10+ years of experience IT with some in Biotech/Pharma industry
  • Expert-level proficiency in:
  • **DBT:** advanced macros, Jinja, testing, exposures, dbt Cloud deployment.
  • **Databricks:** Spark (PySpark, SQL), Delta Lake, Unity Catalog.
  • **Snowflake**
  • **AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals.**
  • **Data Visualization:** Power BI or Tableau.
  • Strong programming background in Python and SQL (including query optimization).
  • Proven experience with distributed systems and large-scale datasets (TB scale).
  • Experience implementing CI/CD pipelines, data testing, and infrastructure as code.
  • Solid understanding of data governance, security, and compliance in enterprise environments.
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Associate or Senior Associate, Fixed Assets / Cost Segregation Engineer (AMCS) (NYM)

KPMG

New York, NY 10025

~ 48 min OnsiteUrgently HiringHealth InsuranceRetirement Benefit

  • Minimum one year of recent experience in an engineering firm, corporation, or publicaccounting firm; background in cost segregation, fixed asset consulting, construction, engineering, or a related technical field is preferred
  • Bachelor's degree from an accredited college/university in engineering, architecture, construction management, or a closely related discipline is required
  • Understanding of construction processes and building systems, and how project costs translate into asset classifications
  • Basic knowledge of federal income tax depreciation principles and accounting for capital expenditures, or a demonstrated interest in developing this skillset
  • Experience reviewing technical drawings, construction documentation, or large project cost datasets
  • Strong proficiency in Excel (such as advanced formulas, pivot tables, lookups) and experience working with structured data from financial or operational systems; demonstrated experience or strong aptitude with data wrangling/automation tools (such as, Power Query, Alteryx), business intelligence tools (such as Power BI, Tableau), or query/scripting languages (such as SQL, Python, R)
  • Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
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New, Posted 11 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

Newark, NJ 07175

~ 29 min OnsiteUrgently HiringEducation 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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New, Posted 11 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

Elizabeth, NJ 07202

~ 27 min OnsiteUrgently HiringEducation 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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New, Posted 1 day ago
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Lead Systems Engineer (HPC)

Princeton University

Princeton, NJ 08542

~ 37 min OnsiteUrgently Hiring

  • 10+ years of strong experience managing advanced research computing systems.
  • Strong expertise with Linux system administration, installation, and troubleshooting.
  • Advanced experience writing scripts in languages such as bash, Python and/or Perl.
  • Proficient in managing networking in HPC environments.
  • Strong experience managing software in an advanced research computing environment.
  • Experience supporting scheduling and managing jobs (SLURM) in large-scale computing environments.
  • Strong oral and written communication skills, with the ability to proactively engage peers and communicate effectively across a diverse stakeholder community.
  • Strong ability to solve complex and system infrastructure problems, and share expertise with colleagues at all levels.
  • Demonstrated ability to collaborate across teams to solve systems and infrastructure challenges, aligning day‑to‑day operational needs with longer‑term technical and organizational goals as technologies evolve.
  • When provided access to personal, proprietary and/or otherwise confidential data, maintain such data in the strictest confidence and follow procedures to ensure the privacy, security, and proper use of data.
  • Education: Bachelors degree in a related field or equivalent experience.
SmartExplore AI is experimental.
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New, Posted 19 hours ago
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Sr. Manufacturing Engineering Manager

Crane Company

Caldwell, NJ 07006

~ 45 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 8+ years of relevant experience demonstrating expertise in manufacturing engineering and process development.
  • Strong understanding of continuous improvement tools, raw materials, production processes, quality control, and cost optimization techniques.
  • Critical thinking, time management, decision-making, and excellent communication skills; ability to motivate and develop teams effectively.
  • Bachelor's degree in electrical, Electro-mechanical, Industrial, or Mechanical
  • Eligibility Requirement: This position may require access to Controlled Data or Information. Where the position requires such access only US Persons will be considered. As a US Department of Defense contractor, we are bound by International Traffic in Arms Regulations (ITAR).
  • Working conditions are normal for a manufacturing environment
  • Manufacturing operations may require the use of safety equipment to include but not limited to: eye safety glasses, gowning, masks, hearing protectors, heel/wrist straps and any other required PPE
  • May be exposed to unusual environmental conditions such as loud noises, cold temperatures, confined spaces, dust or fumes
  • Schedule will fluctuate depending on the needs of the business
  • Standing: up to 100% *percentage is approximate and may vary depending on work task
  • Sitting: up to 100% *percentage is approximate and may vary depending on work task
  • Lifting (in pounds): up to 25 pounds
  • Pushing (in pounds): up to 25 pounds
  • Mental/Visual: use of computer
  • Workspace (line, cube, etc):work bench
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Associate Senior Associate VP Alternative Investment Product Development

Confidential

New York, NY 10001

~ 48 min OnsiteUrgently Hiring

  • Associate, Senior Associate, or VP
  • Strong understanding of investment products and development processes
  • Experience in financial product management
  • Based in New York
  • Experience collaborating across departments to achieve strategic goals
SmartExplore AI is experimental.
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New, Posted 19 hours ago
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New Product Manufacturing Engineer

CACI International Inc

Florham Park, NJ 07932

~ 43 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
SmartExplore AI is experimental.
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New, Posted 19 hours ago
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Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10025

~ 48 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
SmartExplore AI is experimental.
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New, Posted 1 day ago
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VP of Engineering Fintech

Confidential

New York, NY 10001

~ 48 min OnsiteUrgently Hiring

  • Vice President of Engineering
  • Over 10 years of experience leading commercial software development teams
  • Experience scaling fintech organizations with customer-focused products
  • Strong technical skills, preferably in Java, React, or Scala
  • Extensive experience in designing and operating large-scale, real-time systems
  • Based in New York City
SmartExplore AI is experimental.
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