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Core Java Microservices Aws Developer

New York,NY

1007 Core Java Microservices Aws Developer jobs in New York,NY

New, Posted 7 hours ago
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Senior Portfolio Growth Manager, Digital Native, AWS Worldwide Startups

Amazon

New York, NY 10261

New, Posted 1 hour ago
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Bilingual Member Services Associate | P&C License Required

Greene Resources - ProTech

New York, NY 10286

$45,000-$60,000/yr
Urgently HiringBilingual Preferred
New, Posted 6 hours ago
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Senior Portfolio Growth Manager, Digital Native, AWS Worldwide Startups

Amazon

New York, NY 10261

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
SmartExplore AI is experimental.
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New, Posted 4 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

Lyndhurst, NJ 07071

~ 23 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.
SmartExplore AI is experimental.
View now
New, Posted 11 hours ago
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Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10025

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 11 hours ago
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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.
SmartExplore AI is experimental.
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New, Posted 20 hours ago
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Vice President, Full-Stack Engineer

BNY

New York, NY 10007

$83,000-$209,000/yr
New, Posted 4 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

North Bergen, NJ 07047

~ 18 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.
SmartExplore AI is experimental.
View now
Apply Directly
Auto Damage Adjuster

GEICO

Hempstead, NY 11550

RemoteUrgently HiringEducation AssistanceRetirement Benefit

  • Motor Vehicle Damage Adjuster/Appraiser's License ***required***
  • Valid driver's license (must meet company underwriting guidelines) and the ability to maintain applicable state and federal certifications and permits
  • Willingness to be flexible with primary work location – position may require either remote/field/in-office work
  • Solid computer, mechanical aptitude, and multi-tasking skills
  • Effective attention to detail and decision-making skills
  • Ability to effectively communicate, verbally and in writing, and willingness to expand on these abilities
  • Minimum of high school diploma or equivalent
  • Minimum of 12 months of Auto Damage experience
SmartExplore AI is experimental.
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New, Posted 11 hours ago
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Senior Supply Chain Planner

PNY Technologies

Parsippany, NJ 07054

~ 45 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Require 5+ years of experience in business-facing supply or demand planning. Experience must be outside of production or plant environments.
  • Experience operating within structured planning processes:
  • Demand and supply reviews
  • Consensus forecasting
  • S&OP; / SNOP frameworks
  • Build or enhance tools, reporting, and processes to drive improvement. Go beyond maintaining existing systems.
  • Demonstrate strong fluency in supply chain KPIs, including forecast accuracy, bias, inventory turns, and excess & obsolete management.
  • Advanced technical skills in:
  • Excel
  • Power BI (dashboard creation and data visualization)
  • Work cross-functionally with Sales, Marketing, Finance, Operations, and Procurement to achieve goals.
  • Experience in influencing stakeholders and driving alignment across teams
  • Ability to operate in a changing environment with limited structure. Help build scalable processes.
  • Ability to work onsite 5 days per week in Parsippany, NJ
SmartExplore AI is experimental.
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