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Lead Software Engineer

Union,NJ

746 Lead Software Engineer jobs in Union,NJ

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Chief Systems Engineer

L3 Harris

Clifton, NJ 07011

~ 23 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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New, Posted 21 hours ago
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Senior Vice President, Infrastructure Engineer

BNY

Jersey City, NJ 07306

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Director, Software Engineering (Electronic Trading)

Fidelity Investments

Lyndhurst, NJ 07071

~ 23 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent.
  • 15+ years of hands-on software design and development experience in the electronic trading domain.
  • 5+ years of technical leadership, managing a team, and mentoring software developers
  • Experience in building **algorithmic trading** systems for **equities and options**
  • Experience with**equities and options market data**
  • Expertise in **C/C++** , **Python** , and **Linux**.
  • Deep experience with **low latency messaging systems** (e.g., 29West/Ultra-Messaging, Kafka).
  • Proficiency in **KDB+** or other time-series databases.
  • Strong background in building **scalable** , **distributed** , **asynchronous** , and **event-driven** applications.
  • Advanced knowledge of **low latency design patterns** and **performance optimization** techniques.
  • Experience in **Capital Markets** or **Brokerage systems** , especially **order management**.
  • Solid understanding of the **FIX protocol** and FIX engines.
  • Experienced with using **GenAI developer assist tools** (e.g. GitHub Copilot).
  • Experience with **CI/CD tools** such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
  • Experience with deploying applications and services in **AWS**
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Manufacturing Engineer

Whippany Actuation Systems

Whippany, NJ 07981

$90,000-$110,000/yr
~ 28 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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Senior Software Engineer

Interstate Waste Services

Teaneck, NJ 07666

$125,000/yr
~ 32 min Onsite

  • This position has an On-Site Requirement in Teaneck NJ
  • Minimum (5) five years of experience in a developer role in full stack environment
  • Robust Experience with C# programming, and .Net 8+
  • Knowledge on SQL queries, SQL Server, and relational database technology.
  • Experience with Rest API development, integration knowledge and middleware integration expertise.
  • Experience developing critical applications with large concurrent user bases from a performance and scalability standpoint
  • Experience with Azure cloud services.
  • Must have experience in the analysis, design, development, testing and implementation of enterprise scale apps.
  • Should be able to work closely with the business stakeholders and work towards the solutioning of the requirements.
  • Should have requirement gathering and documentation experience.
  • Effective written and verbal communication.
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Senior Mechanical Engineer

Pts Data Center Solutions

Oakland, NJ 07436

$145,000-$190,000/yr
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New Product Manufacturing Engineer

CACI International Inc

Florham Park, NJ 07932

~ 27 min Onsite

  • 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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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 35 min OnsiteUrgently Hiring

  • Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
  • Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
  • Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
  • Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
  • Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
  • Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
  • Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
  • Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
  • Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
  • Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
  • Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
  • Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
  • Engineering leadership and team-building experience, including managing senior technical staff — 7 years
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New, Posted 17 hours ago
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IT Support Engineer I, Ops Tech Solutions (OTS)

Amazon.com Services LLC

Teterboro, NJ 07699

Urgently Hiring
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Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10025

~ 35 min 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
SmartExplore AI is experimental.
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