2199 Senior Software Engineer Full Stack jobs in New York

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Sr. TPM, GenAI, Catalog Systems

Amazon.com Services LLC

New York, NY 10261

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

7+ years of working directly with engineering teams experience
5+ years of technical product or program management experience
3+ years of software development experience
5+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules

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Sr. SDET (Sr Software Engineer in Test & Merchandising Automation)

Subway Restaurants

Bridgeport, CT 06606

OnsiteUrgently HiringEducation AssistanceHealth InsuranceRetirement Benefit

Bachelor's degree or higher in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
5 or more years of experience as an SDET or software engineer with a strong focus on test automation and quality engineering
Proficiency in JavaScript/TypeScript (Node.js) for writing production-quality test code; Playwright required for UI and API automation
Experience testing event-driven and integration architectures - AWS Lambda, SQS/SNS, API Gateway, or equivalent async messaging systems
Hands-on experience validating iPaaS or workflow automation platforms - Adobe Workfront Fusion, MuleSoft, Zapier, or similar scenario-based integration tools strongly preferred
Experience designing and executing performance, load, and reliability test strategies against backend APIs and event pipelines
Experience embedding automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent)
Familiarity with contract testing approaches and consumer-driven contract frameworks (Pact or similar)
Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent) - comfortable using AI daily to author tests, generate synthetic data, and analyze failures
Strong software engineering fundamentals - able to write clean, maintainable, reviewable test code that the broader engineering team can own
Systems-level thinking: able to reason about distributed architectures, async data flows, and failure modes across integration boundaries - including both AWS-native and Fusion-based pipelines
Clear communicator who can translate test findings and coverage gaps into actionable engineering priorities for both technical engineers and marketing/ops stakeholders
Collaborative approach - operates as a full member of the engineering team, not a downstream QA gate
Experience providing technical guidance and code review to other engineers on testing best practices
Travel Requirements - Less than 10%

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New, Posted 5 hours ago

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Sr. Technical Program Manager, Sponsored Products - Off-Search

Amazon.com Services LLC

New York, NY 10261

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

5+ years of technical product or program management experience
3+ years of software development experience
5+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules
Experience building and evaluating system-level technical design
Experience developing and executing/delivering product and technical roadmaps

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Sr. SDET (Sr Software Engineer in Test & Merchandising Automation)

Subway Restaurants

Trumbull, CT 06611

OnsiteUrgently HiringEducation AssistanceHealth InsuranceRetirement Benefit

Bachelor's degree or higher in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
5 or more years of experience as an SDET or software engineer with a strong focus on test automation and quality engineering
Proficiency in JavaScript/TypeScript (Node.js) for writing production-quality test code; Playwright required for UI and API automation
Experience testing event-driven and integration architectures - AWS Lambda, SQS/SNS, API Gateway, or equivalent async messaging systems
Hands-on experience validating iPaaS or workflow automation platforms - Adobe Workfront Fusion, MuleSoft, Zapier, or similar scenario-based integration tools strongly preferred
Experience designing and executing performance, load, and reliability test strategies against backend APIs and event pipelines
Experience embedding automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent)
Familiarity with contract testing approaches and consumer-driven contract frameworks (Pact or similar)
Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent) - comfortable using AI daily to author tests, generate synthetic data, and analyze failures
Strong software engineering fundamentals - able to write clean, maintainable, reviewable test code that the broader engineering team can own
Systems-level thinking: able to reason about distributed architectures, async data flows, and failure modes across integration boundaries - including both AWS-native and Fusion-based pipelines
Clear communicator who can translate test findings and coverage gaps into actionable engineering priorities for both technical engineers and marketing/ops stakeholders
Collaborative approach - operates as a full member of the engineering team, not a downstream QA gate
Experience providing technical guidance and code review to other engineers on testing best practices
Travel Requirements - Less than 10%

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

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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Senior Environmental Engineer / Geologist

The LiRo Group

Rochester, NY 14608

Urgently Hiring

New, Posted 1 day ago

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Senior Associate, Full Stack - Springboot

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

A minimum of three years of full stack development and programming experience with proven experience as a Full Stack Developer or similar role
Bachelor's degree in computer science, Software Engineering, or a related field
Strong expertise in Java, Python, and React JS and proficiency with Spring Boot, and Kubernetes
In-depth understanding of microservices architecture with a solid understanding of software engineering principles and practices with experience with GenAI and large language models (LLM)
Experience with SQL databases and cloud platforms (AWS or Azure)
Knowledge of CI/CD processes and tools like Maven, familiarity with version control systems like Git
Ability to travel
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, H1B1, F-1, J-1, OPT, CPT or any employment-based visa)

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Senior AI Agent Engineer

GE Vernova

Niskayuna, NY 12309

Paid Relocation to Niskayuna, NY

HybridEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

5+ years of relevant experience and a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
3+ years of experience in AI, GenAI application development & deployment particularly with autonomous agent systems or related AI software engineering roles.
3+ years of experience designing and building GenAI apps that allow users to experience AI use cases supporting features like agent orchestration, multi-step reasoning, prompt engineering, RAG integration, and model selection
3+ years of experience with LLMs and deep learning models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture.
Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices.
Expertise with AI/ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs.
Hands-on experience with LLMs, prompt engineering, and natural language processing (NLP).
Knowledge of agent orchestration platforms and multi-agent systems (e.g., AutogenAI, LangGraph, MCP protocol).
Familiarity with data management, vector databases, semantic retrieval, and real-time data pipelines.
Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes).
Strong understanding of machine learning model training, fine-tuning, and evaluation techniques.
Awareness of AI ethics, data privacy, and secure handling of sensitive information.
Must be 18 years or older
Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Bachelor's level for employment visas, now or in the future, for this job opening.
You must submit your application for employment on the careers page at www.gecareers.com to be considered
Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.
Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided.
Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

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New, Posted 3 hours ago

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Director, Software Engineering

SAAB

East Syracuse, NY 13057

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Software Engineering or related discipline.
18+ years of experience in a technical/engineering environment
At least 5+ years in a leadership role focused on engineering management and leading other people managers.
Proven success building, scaling, and leading a high-performing engineering function with preference for Aerospace and Defense experience.
Strong understanding of the product development lifecycle, software engineering principles, anti-tamper cybersecurity and functional execution in regulated industries.
Demonstrated experience contributing to and aligning engineering strategy and execution with broader business and programmatic goals.
Experience shaping organizational direction through technical leadership, innovation, and continuous improvement initiatives.
Ability to lead through ambiguity, anticipating change, mitigating risk, and making sound high impact decisions.
Demonstrated success in developing technical talent and managing team performance.
Deep expertise in software development, especially object-oriented design, UML, and embedded systems.
Proficient in C/C++, Java, and tools like VS Code, DOORS, Git, SVN, and PTC Integrity Modeler.
Experience with multiple development methodologies like Agile, Waterfall, and Spiral.
Willingness to travel up to 10% in support of program and business efforts.
Ability to obtain a Secret level clearance.
Must be a U.S. citizen.
Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.
As a condition of employment, candidates will be required to pass a pre-employment drug screen.