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Cloud Software Engineer Aws Python Ci Cd

New York,NY

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1481 Cloud Software Engineer Aws Python Ci Cd jobs in New York,NY

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

Subway Restaurants

Bridgeport, CT 06606

~ 1 hr 13 min 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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Senior Associate, Cloud Engineering - CMDB

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • Minimum three years of recent experience in IT infrastructure technology management and architecture including IaaS/PaaS/DevOps cloud transformation programs and infrastructure automation, prior system/storage; admin/engineering experience and consulting experience; four years of cloud strategy, migration, and transformation leadership including cloud services (IaaS/PaaS) implementation & migration, including Azure or AWS
  • Bachelor's degree in Computer Sciences from an accredited college/university
  • 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)
  • Ability to travel as needed
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New, Posted 22 hours ago
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Senior Automation Engineer

Subway Restaurants

Bridgeport, CT 06606

~ 1 hr 13 min OnsiteUrgently HiringEducation AssistanceHealth InsuranceRetirement Benefit

  • Senior Automation Engineer - Shelton, CT
  • This role is based out of our Shelton, CT headquarters.
  • Demonstrated proficiency in Playwright for both UI end-to-end and API automation - Node.js / TypeScript required.
  • Bachelor's degree or higher in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
  • 5 or more years of hands-on software engineering or SDET experience with a strong automation focus.
  • Experience building API test frameworks that validate REST contracts, payload schemas, and data integrity across integrated systems.
  • Solid understanding of HTTP/REST fundamentals, JSON schema validation, and API versioning patterns.
  • Experience with serverless and event-driven architectures on AWS (Lambda, API Gateway, SQS/SNS, DynamoDB).
  • Hands-on experience integrating automated test suites into CI/CD pipelines (GitHub Actions, Azure DevOps, or equivalent).
  • Experience working with third-party platform APIs and vendor integrations - delivery aggregators, marketplace platforms, or similar partner ecosystems strongly preferred.
  • Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent) - must be comfortable using AI daily to write, review, refactor, and document test code.
  • Familiarity with Infrastructure as Code (Terraform or CloudFormation) for managing test infrastructure.
  • Experience with observability and APM tooling (Dynatrace, Datadog, CloudWatch) for monitoring automation pipelines in production.
  • Systems thinking - able to map complex data flows across multiple APIs and surface the right validation layer for each risk.
  • Strong debugging and root-cause analysis skills across API, UI, and data pipeline failures.
  • Excellent written communication for documenting test strategies, coverage rationale, and defect reports for both technical and non-technical stakeholders.
  • Ability to partner closely with manual QE, Digital Merchandising ops, and product teams to translate domain knowledge into durable automated coverage.
  • Collaborative mindset with a willingness to give and receive candid code review feedback.
  • Travel: 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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New, Posted 13 hours ago
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Sr. Software Development Engineer, AI Gen Creative Building

Amazon.com Services LLC

New York, NY 10261

DiversityJobs
Software Engineering/Applications Leadership Advisory - Executive Technology Services for Global Enterprises

Gartner

Newark, NJ 07175

New, Posted 1 day ago
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Lead Software Engineer

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$163,100-$218,700/yr
New, Posted 1 day ago
Lead Software Engineer - Data Streaming/Integration Platforms

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$155,700-$208,700/yr
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Director Software Engineering - Customer Innovation Lab

Disability Solutions

New York, NY 10261

New, Posted 13 hours ago
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Sr. Software Development Engineer, Amazon Autos

Amazon Advertising LLC

New York, NY 10261

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