551 Software Engineer Net Backfill jobs in New York,NY

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 Software Engineer

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr

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Technical Customer Support Engineer Tier 3

UVEye

Teaneck, NJ 07666

~ 20 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

3+ years of experience in advanced Technical Support (Tier 3), Systems Engineering, DevOps, or Site Reliability Engineering (SRE), ideally within a SaaS, IoT, or hardware/software integrated environment
Deep, hands-on proficiency with Linux environments and advanced command-line troubleshooting
Extensive experience managing, deploying, and troubleshooting applications using Docker and Kubernetes
Strong understanding of advanced networking concepts (TCP/IP, HTTP, DNS, DHCP, routing, firewalls, and load balancers)
Proficiency in scripting languages (Bash, Python) for system automation and log analysis
Operational understanding/experience with major cloud platforms (AWS, Azure, or GCP)
High comfort level operating within ticketing and CRM systems like Jira Service Management, Github and Salesforce
Strong analytical problem-solving skills, ability to remain calm under pressure, and a team-oriented, customer-first mindset

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Associate or Senior Associate, Fixed Assets / Cost Segregation Engineer (AMCS) (NYM)

KPMG

New York, NY 10025

OnsiteHealth 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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