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Key Responsibilities Design, develop, and deploy backend services and cloud-native applications on Google Cloud Platform Build and maintain scalable architectures using Cloud Run, Pub/Sub, Cloud Functions, and other GCP services Implement and maintain CI/CD pipelines, ensuring high code quality

A company is looking for a Security Engineer with a focus on Google Cloud Platform and Security Operations.Key Responsibilities Deploy and manage Google Chronicle and Security Command Center (SCC) Design and implement security controls across GCP environments Support incident response, threat hu

12-month contract 3x/week onsite - will RTO 5x/week in 2026 Required Skills & Experience • 3-5 years of relevant analytical experience in media, marketing analytics, or consumer insights (agency, brand, publisher, or research side), • Familiarity with media reporting types and campaign performance metrics, • CTR, PPC, conversion rate, impressions, reach, CPA, ROAS, • Proficiency in SQL for querying large datasets, • Experience with Tableau for dashboarding and reporting, • Strong presentation and communication skills to bridge technical insights with non-technical stakeholders, • Ability to moderate discussions and collaborate across internal teams, • Professional demeanor and strong organizational skills, • Ability to identify insights, deep dive into data, and translate findings into actionable advertising campaign recommendations Nice to Have Skills & Experience • Basic Python knowledge for data manipulation and exploratory analysis, • Experience with retail media platforms (e.g., Lowe’s, Best Buy, Amazon, Petco, Meta), • Experience with Google Cloud Platform (GCP) or equivalent cloud environments Job Description Our top retail client is seeking a Marketing Analyst to join their Media Insights Team, supporting strategic decision-making for their consumer-packaged goods and grocery portfolio (ex: General Mills). This role requires a unique blend of technical expertise and strategic thinking. The ideal candidate will be comfortable working with advanced analytics tools like SQL and Tableau to build predictive models and uncover consumer behavior trends, while also being able to interpret media performance drivers, attribution results, and translate insights into actionable recommendations for stakeholders. They should be adept at connecting analytical outputs to broader business impact, client use cases, and optimization strategies. Strong communication skills are essential, as this role serves as a bridge between data science and business teams, helping to translate complex data into clear, compelling narratives that inform marketing decisions. • Building predictive models and analyzing consumer behavior trends using SQL, • Developing Tableau dashboards to automate reporting and visualize key insights, • Evaluating marketing impact by comparing campaign performance and analyzing cross-channel behavior for customers like General Mills., • Interpreting attribution results and articulating media performance drivers to stakeholders, • Delivering actionable insights that inform client use cases and guide future campaign optimization

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you! What You'll Do: • Collaborate with cross-functional teams to design and deploy ML models., • Develop reusable, scalable code for AI/ML applications., • Leverage GCP services to build end-to-end machine learning pipelines. Key Requirements: • Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools., • Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI., • Model Development & Deployment: Proven ability to design, build, and productionize machine learning models., • API Development: Skilled in developing robust APIs for seamless integrations., • Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us? • Work remotely while contributing to cutting-edge projects., • Collaborate with a dynamic team passionate about AI/ML innovation., • Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI! Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem. Responsibilities • Manage large-scale data analytics client engagements in a global delivery model, • Work with business executives to understand business requirements and constraints for the success of the program., • Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value., • Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern, • Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions, • Steer discussions in strategizing and implementing digital and cloud solutions., • 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects, • Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies, • Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data., • Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks., • Implement Databricks on AWS, ensuring security, scalability, and performance., • Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics., • Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required., • Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops, • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines, • Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionProfessional SummaryJoin a world-class organization recognized for shaping the future of technology through innovation, consulting, and enterprise-scale digital solutions. Our client partners with leading global brands to deliver transformative software architectures setting a new benchmark for excellence in IT services and digital strategy.Job DescriptionThe Application Architect will design enterprise-level capabilities and services while applying a strong foundation in ITSM principles and best practices. This opportunity enables you to translate advanced business and technical requirements into scalable, secure, and forward-thinking solutions. You'll collaborate across teams to align technology with business strategy, leveraging existing assets to deliver efficient and future-ready architectures that drive organizational success.Key Responsibilities Enterprise Solution Design & Architecture • Translate advanced business and technical requirements into scalable, secure, and high-performing architecture solutions., • Design enterprise capabilities and services grounded in strong ITSM principles and best practices., • Provide architectural guidance throughout project lifecycles, ensuring alignment between technical strategy and delivery execution, • Mentor development teams and enable consistent adoption of architecture standards and patterns, • Partner with cross-functional teams to ensure solutions align with enterprise technology governance, risk, and compliance goals.Strategic Innovation & Continuous Improvement, • d recommend modernization strategies to improve performance, scalability, and security., • Drive the adoption of emerging technologies that support business agility such as AI, event-driven systems, and distributed architecture models., • Collaborate closely with application owners, product managers, and stakeholders to align architecture with long-term IT strategy. Qualifications • 7+ years of experience in IT Service Management consulting and enterprise-scale architecture design., • Proven expertise in Enterprise Capability and IT Service Management, applying ITSM frameworks to solution design., • Hands-on experience in AWS Cloud Architecture, including deployment, optimization, and best-practice governance., • Proficiency in data architecture and analytics platforms such as Snowflake, including data warehousing and reporting pipelines., • Strong understanding of distributed systems architecture, covering front- end, back-end, and integration layers., • Demonstrated ability to produce architectural artifacts (e.g., system flows, reference architectures, sequence diagrams) using tools like Microsoft Visio., • Experience with event-driven architecture tools such as Apache Kafka, Amazon Kinesis, or Distributed MQ., • Knowledge of Azure and Google Cloud Platform (GCP) environments, • Exposure to architectural platforms such as Hopex, LeanIX, ServiceNow, or ArchiMate., • Understanding of secure computing and designing trusted, compliant applications., • Awareness of emerging technologies such as Artificial Intelligence (AI) and Blockchain., • Strategic thinker with a solutions-driven mindset., • Strong analytical and problem-solving abilities., • leadership and mentoring capability., • Exceptional attention to detail and documentation discipline, • Adaptability in fast-changing environments with multiple priorities.

Job Description Application Architect (24668-1) Jersey City, NJ Application Architect, ITSM, IT Service Management, Cloud Architecture, AWS, Snowflake, Data Warehouse Experience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Work Location: Jersey City, NJ or Dallas, TX or Tampa, FL Job Description: 7+ years of experience in IT Service Management Consulting. Enterprise Capability and IT Service Management Proven experience in designing enterprise capabilities and services, with a strong foundation in ITSM principles and practices. Architectural Documentation Ability to create a wide range of architectural artifacts, including but not limited to logical and reference architectures, sequence diagrams, and system flow diagrams. Analytical Expertise Strong analytical and problem-solving skills, with the ability to assess complex systems and propose effective solutions. Event-Driven Architecture Hands-on experience with event-driven systems and technologies such as Apache Kafka, Distributed MQ, and Amazon Kinesis. Distributed Systems Architecture Deep understanding of all layers of distributed architecture, including frontend, backend, data storage, and system integration. Cloud Architecture Extensive architectural and hands-on implementation experience with the AWS cloud platform is required. Familiarity with other cloud environments such as Azure and Google Cloud Platform (GCP) is considered a strong plus. Data Platforms and Analytics Experience in data warehousing, data transport, analytics, and reporting using the Snowflake platform and its ecosystem. Standardized Application Deployment Expertise in enterprise-scale application deployment on AWS, with a broad understanding of AWS services and best practices. Security and Trusted Computing Knowledge of secure application design and implementation, including enabling trusted compute environments. Architecture Patterns and Standards Demonstrated ability to define and implement solution, platform, and application architecture patterns and standards. Must be able to communicate complex concepts clearly and concisely, with strong skills in tools such as Microsoft Visio. Nice to have experience with Architectural platforms tools like Hopex, LeanIX, ServiceNow, ArchiMate. Experience with TOGAF or similar architectural framework is a plus. Desirable Skills Experience or familiarity with emerging technologies such as Artificial Intelligence (AI) and Blockchain is a plus. Key Responsibilities Solution Architecture Business Alignment Translate complex and sometimes ambiguous business and technical requirements into sound, scalable, and secure technical solutions. Understand business needs, IT strategy, and existing assets to identify optimal solution architectures. Implementation Guidance Team Enablement Assess implementation context and team capabilities to provide actionable architectural guidance. Ensure successful delivery of application architecture through mentoring and technical leadership. Strategic Collaboration Governance Partner with application owners, subject matter experts, product owners, architects, engineers, and delivery teams to enhance Technology Governance, Risk, and Compliance MUST HAVE: 7+ years of experience in IT Service Management Consulting. Enterprise Capability and IT Service Management Proven experience in designing enterprise capabilities and services, with a strong foundation in ITSM principles and practices. Cloud Architecture Extensive architectural and hands-on implementation experience with the AWS cloud platform is required. Data Platforms and Analytics Experience in data warehousing, data transport, analytics, and reporting using the Snowflake platform and its ecosystem. Experience with TOGAF or similar architectural framework is a plus.

Hi, Hope you are doing well. I have an immediate requirement, please let me know if you are interested in this role. Role- Gen AI Architect Location- Charlotte, NC / NEWARK, NJ (Onsite) Mode: Contract Job Description- Responsibilities: · Lead the architectural design and implementation of scalable, generative AI-powered solutions for business automation, leveraging both Azure and Google Cloud platforms. · Architect end-to-end AI model workflows, utilizing Azure AI, and Google AI tools. Focus will be on applications involving complex document intelligence, multi-modal data analysis, and advanced image processing tasks. · Design and oversee the development of optimized RAG (Retrieval Augmented Generation) pipelines that incorporate varied data sources and formats to improve prompt execution. · Establish best practices for prompt engineering and iterative refinement to maximize the accuracy and relevance of outputs across diverse data types. · Collaborate with cross-functional teams (engineering, data science, business) to translate complex business requirements into robust, scalable AI component designs. · Champion the integration of the client's proprietary generative AI tools into the architecture and development lifecycles. · Direct the implementation of robust API management strategies using Apigee for secure and efficient access to AI models and related services. · Ensure all solution designs adhere to stringent data governance policies and use cloud-native security mechanisms and compliance tools. · Provide architectural guidance and design patterns for leveraging generative AI within critical business processes like License Audit and Product Approval, emphasizing scalable and verifiable outcomes. · Establish and automate DevOps pipelines for model deployment, testing and iterative enhancements. Skills: · Deep expertise with Azure AI services (including Cognitive Services) and Google Cloud AIML platform. · Extensive knowledge and practical experience with document processing using Azure Document Intelligence and alternative OCR technologies. · Mastery of Snowflake for data modeling, warehousing, and integrating with advanced analytics workflows. · Proficiency with cloud orchestration tools, like GKE Scheduler, and asynchronous communication services (e.g., Google PubSub). · Advanced expertise in API management using Apigee and related security best practices. · Proven ability to design and implement Kubernetes-based AI model deployments, including model optimization techniques. · Strong command of Python for development and automation tasks. · Demonstrated experience converting business needs into scalable and maintainable technical designs. · Experience working with and extending custom Generative AI tooling. · Deep understanding of Retrieval Augmented Generation (RAG) concepts and its applications. Thanks, Ravi Kumar Raas Infotek Newark, DE 19702 Direct No: 302-286-9894 Email:

Job DescriptionJob Description:7+ years of experience in IT Service Management Consulting. Enterprise Capability and IT Service Management Proven experience in designing enterprise capabilities and services, with a strong foundation in ITSM principles and practices. Architectural Documentation Ability to create a wide range of architectural artifacts, including but not limited to logical and reference architectures, sequence diagrams, and system flow diagrams. Analytical Expertise Strong analytical and problem-solving skills, with the ability to assess complex systems and propose effective solutions. Event-Driven Architecture Hands-on experience with event-driven systems and technologies such as Apache Kafka, Distributed MQ, and Amazon Kinesis. Distributed Systems Architecture Deep understanding of all layers of distributed architecture, including frontend, backend, data storage, and system integration. Cloud Architecture Extensive architectural and hands-on implementation experience with the AWS cloud platform is required. Familiarity with other cloud environments such as Azure and Google Cloud Platform (GCP) is considered a strong plus. Data Platforms and Analytics Experience in data warehousing, data transport, analytics, and reporting using the Snowflake platform and its ecosystem. Standardized Application Deployment Expertise in enterprise-scale application deployment on AWS, with a broad understanding of AWS services and best practices. Security and Trusted Computing Knowledge of secure application design and implementation, including enabling trusted compute environments. Architecture Patterns and Standards Demonstrated ability to define and implement solution, platform, and application architecture patterns and standards. Must be able to communicate complex concepts clearly and concisely, with strong skills in tools such as Microsoft Visio. Nice to have experience with Architectural platforms tools like Hopex, LeanIX, ServiceNow, ArchiMate. Experience with TOGAF or similar architectural framework is a plus. Desirable Skills Experience or familiarity with emerging technologies such as Artificial Intelligence (AI) and Blockchain is a plus. Key ResponsibilitiesSolution Architecture Business Alignment Translate complex and sometimes ambiguous business and technical requirements into sound, scalable, and secure technical solutions. Understand business needs, IT strategy, and existing assets to identify optimal solution architectures. Implementation Guidance Team Enablement Assess implementation context and team capabilities to provide actionable architectural guidance. Ensure successful delivery of application architecture through mentoring and technical leadership. Strategic Collaboration Governance Partner with application owners, subject matter experts, product owners, architects, engineers, and delivery teams to enhance Technology Governance, Risk, and Compliance MUST HAVE:7+ years of experience in IT Service Management Consulting. Enterprise Capability and IT Service Management Proven experience in designing enterprise capabilities and services, with a strong foundation in ITSM principles and practices. Cloud Architecture Extensive architectural and hands-on implementation experience with the AWS cloud platform is required. Data Platforms and Analytics Experience in data warehousing, data transport, analytics, and reporting using the Snowflake platform and its ecosystem. Experience with TOGAF or similar architectural framework is a plus.

Job DescriptionAbout USInterior Marketing Group (IMG) is the premier luxury design and marketing firm specializing in staging, interior design, and property marketing for high-end real estate. Trusted by the industry’s top agents, developers, and homeowners, we create visually compelling spaces designed to captivate buyers and drive results. Our work has been featured in Architectural Digest, Forbes, The Wall Street Journal, The New York Times, Elle Decor, and Bravo’s Million Dollar Listing, making IMG one of the most recognized names in luxury real estate design. We are seeking a detail-oriented and organized Inventory Control Manager to join our staging warehouse team. This role is responsible for overseeing the accurate receipt, tracking, and organization of inventory while also assisting with general warehouse duties. The ideal candidate will have experience in inventory management, receiving shipments, and maintaining a well-organized warehouse environment. Key Responsibilities • Oversee all incoming and outgoing inventory for staging jobs using the RentalWorks system., • Ensure that all items used in staging jobs are accounted for and returned to the warehouse in a timely manner., • Perform regular audits to confirm inventory accuracy and report any discrepancies., • Maintain an organized system for logging damaged, missing, or retired items., • Collaborate with the staging and warehouse teams to coordinate item check-in and check-out processes., • Train new and existing staff on the proper use of the RentalWorks system., • Troubleshoot basic technical issues with the RentalWorks platform or escalate to appropriate support., • Assist in physical inventory counts and help with implementing best practices in inventory management., • Maintain clean, orderly, and safe inventory storage areas., • Provide reports and inventory status updates to leadership as needed.Qualifications & Skills, • Bachelor’s degree in Computer Science, IT, or a related field (or equivalent experience)., • Proficiency in Python for software development and automation., • Experience with inventory management systems or ERP platforms., • Knowledge of database management (SQL, PostgreSQL, or NoSQL)., • Familiarity with networking, cybersecurity, and cloud-based services (AWS, Google Cloud, or Azure)., • Ability to diagnose and resolve technical support issues., • Strong problem-solving and communication skills.Preferred Experience, • Previous experience in inventory control, warehouse operations, or a similar role., • Proficiency with RentalWorks or similar inventory management systems (experience with RentalWorks is strongly preferred)., • Strong organizational and communication skills., • Ability to lift and move items as needed (up to [insert weight, e.g. 50 lbs])., • Comfortable working in a fast-paced, team-oriented warehouse environment.

What You’ll Do: • Provide support and administration for Michael Kors IT department’s cloud presence., • Tier 1 – Azure, AWS, Google Cloud Platform, • Tier 2 – Azure, and O365, • Support Windows, Linux, and native cloud services in the respective platforms., • Work with application and security teams to remediate any issues with resources, services, or security concerns for cloud platforms., • Proactively look for ways to improve administration, monitoring, and standard operating procedures., • Plan, create, and deploy backup strategies to protect data stored in the cloud and strategic monitoring for all accounts., • Provision and create cloud services for migration and support of applications, • Monitor and track incidents and triage call in a service desk ticketing system in support of the incident and problem management process; recognize high priority tickets and act within the expected response time., • Monitor all cloud resources and responding to alerts within the environment. You’ll Need to Have: • Bachelor’s degree in computer science, Information Technology, or related field., • Minimum 5+ years of Cloud Admin experience supporting AWS and Azure, • Experience with automation tools to streamline and standardize our cloud deployments. Ex: ARM Template, Terraform, Cloud Formation, Ansible, etc., • Experience with implementing cloud services, such as EC2,S3, Elastic, Docker, IAM, service accounts, Azure VMS, Key vault, storage account, Kubernetes, Backup, Runbook and Monitor., • Fundamental knowledge of knowledge of network connectivity, VPC (Subnets/Security Groups) and troubleshooting techniques., • Experience in PowerShell scripting and automation of admin functions., • Administration experience in Azure and AWS with and without scripting methods., • Required certification: Microsoft Azure Administrator, Azure DevOps Engineer, AWS SysOps Administrator, AWS Cloud solutions Associate and AI Certifications will be a plus, • Experience in Day-to-day Operations of AWS and Azure environments including uptime, cross platform support and security, • Hands on experience with building retail or relevant applications in AWS and Azure with migration, governance and automated deployments, • Experience in cloud migration including legacy data transfer from on-prem to AWS, • Experience in working with application, engineering teams and stakeholders to monitor and maintain a secure and resilient cloud-hosted infrastructure to establish SLAs across the environments, • Experience in working with Security team for improving DevSecOps process and tools, • Candidate must be flexible to support needs of the department. Off hours and weekend support are required., • Ability to implement systems that are highly available, scalable and meet disaster recovery requirements., • SAP on cloud and Google Cloud Platform We’d Like to See: • Familiarity with end point security patch management software. Ex: Ivanti LANDesk, SCCM, Carbon Black, etc., • Strong communication skills, both oral and written, with the ability to convey clear and concise thoughts and ideas., • Excellent time management skills including the ability to manage multiple projects at any given time., • Ability to analyze problems and propose solutions., • Ability to work in a fast-paced, dynamic environment. Capri Perks: • Generous Paid Time Off & Holiday Calendar, • Summer Fridays, • Internal Mobility Across Brands, • Cross-Brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program, • Commuter Benefits, • Gym Discounts The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at . In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience. About Us: CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Versace, Jimmy Choo, and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success.

Location: Jersey City/ONSITE/ NO C2C/NO C2H/NO THIRD PARTIES/ONLY W2/ ONLY LOCALS TO NJ/NY - NO RELOCATION CANDIDATES Skillset: Data Engineer Must Haves: Python, PySpark, AWS – ECS, Glue, Lambda, S3 Nice to Haves: Java, Spark, React Js Interview Process: Interview Process: 2 rounds, 2nd will be on site You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Data Engineer III - Python / Spark / Data Lake at JPMorgan Chase within the Consumer and Community Bank , you will be a seasoned member of an agile team, tasked with designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. Your responsibilities will include developing, testing, and maintaining essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve the firm's business objectives. Job responsibilities: • Supports review of controls to ensure sufficient protection of enterprise data., • Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request., • Updates logical or physical data models based on new use cases., • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace., • Adds to team culture of diversity, opportunity, inclusion, and respect., • Develop enterprise data models, Design/ develop/ maintain large-scale data processing pipelines (and infrastructure), Lead code reviews and provide mentoring thru the process, Drive data quality, Ensure data accessibility (to analysts and data scientists), Ensure compliance with data governance requirements, and Ensure business alignment (ensure data engineering practices align with business goals)., • Supports review of controls to ensure sufficient protection of enterprise data Required qualifications, capabilities, and skills • Formal training or certification on data engineering concepts and 2+ years applied experience, • Experience across the data lifecycle, advanced experience with SQL (e.g., joins and aggregations), and working understanding of NoSQL databases, • Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis, • Extensive experience in AWS, design, implementation, and maintenance of data pipelines using Python and PySpark., • Proficient in Python and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional)., • Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck., • Advanced proficiency in leveraging Gen AI models from Anthropic (or OpenAI, or Google) using APIs/SDKs, • Advanced proficiency in cloud data lakehouse platform such as AWS data lake services, Databricks or Hadoop, relational data store such as Postgres, Oracle or similar, and at least one NOSQL data store such as Cassandra, Dynamo, MongoDB or similar, • Advanced proficiency in Cloud Data Warehouse Snowflake, AWS Redshift, • Advanced proficiency in at least one scheduling/orchestration tool such as Airflow, AWS Step Functions or similar, • Proficiency in Unix scripting, data structures, data serialization formats such as JSON, AVRO, Protobuf, or similar, big-data storage formats such as Parquet, Iceberg, or similar, data processing methodologies such as batch, micro-batching, or stream, one or more data modelling techniques such as Dimensional, Data Vault, Kimball, Inmon, etc., Agile methodology, TDD or BDD and CI/CD tools. Preferred qualifications, capabilities, and skills • Knowledge of data governance and security best practices., • Experience in carrying out data analysis to support business insights., • Strong Python and Spark

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements, • Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability, • Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients, • Proven experience in backend development: TS/Node (required), • Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers, • Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact, • Preferred: Experience with Docker and containerized deployments, • A dynamic environment where your contributions shape the company and its products, • A team that values innovation, intuition, and drive, • Autonomy, fostering focus and creativity, • The opportunity to have a significant impact in a revolutionary industry, • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture, • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements, • Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability, • Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients, • Proven experience in backend development: TS/Node (required), • Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers, • Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact, • Preferred: Experience with Docker and containerized deployments, • A dynamic environment where your contributions shape the company and its products, • A team that values innovation, intuition, and drive, • Autonomy, fostering focus and creativity, • The opportunity to have a significant impact in a revolutionary industry, • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture, • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are seeking a skilled Data Analytics Engineer with strong experience in Google Cloud Platform (GCP) and expertise across modern data engineering and analytics tools. This role bridges data engineering and analytics, ensuring reliable, accurate, and actionable insights for business stakeholders.

Possess at least one Google Cloud Professional certification: Data Engineer, Cloud Database Engineer, Cloud Architect, Machine Learning Engineer. Understand key differences and overlap in modern data platform capabilities when considering Databricks to complement Google Cloud solutions. Serve as a s

Data Analytics Engineer - Google Cloud Platform (GCP). Coordinate with Google Cloud teams and vendors to troubleshoot and optimize delivery timelines. Data Flow, Data Prep, Data Form, Dataplex, Vertex AI, and Cloud Composer.

Practical cloud native experience.

Assist with Cloud environment setup and implementation plan. Knowledge and passion for Cloud computing .

Experience with multiple Server Operating System: UNIX, Linux, Windows server platforms.

Build, optimize, and maintain a highly scalable Jenkins platform supporting multiple concurrent teams and workloads. Experience with Software-Defined Networks, VPCs, cloud networking, and infrastructure automation.

Hands on experience with atleast 1 scripting language and has done out of box automations for platforms like People Soft, SharePoint, MDM etc.

Build, optimize, and maintain a highly scalable Jenkins platform supporting multiple concurrent teams and workloads. Experience with Software-Defined Networks, VPCs, cloud networking, and infrastructure automation.

Were urgently hiring a Senior Cloud & DevOps Engineer on behalf of our client, a fast-moving, innovation-driven company in New York! This is a hybrid role in NYC with a base salary between $160-185K and an outstanding benefits package.

Designs and leads the implementation of Cloud-based architectures, cloud networking, and containerization with experience in patterns/automation using Infrastructure-as-Code. Selective is seeking a Lead DevOps Engineer with Cloud technologies experience to innovate and improve our ability to acceler

Experience with trading strategies for securities, options, crypto and trading platforms.

Design and oversee the implementation of cloud-based architecture, networking, and containerization, utilizing Infrastructure-as-Code for automation and patterns. Demonstrated experience in cloud cost optimization, governance, and implementing FinOps practices. Experience designing and implementing

A key responsibility is to influence roadmaps, create best practices, automate and deliver on networking requirements within the cloud platform while cultivating an enterprise technical strategy for cloud networking. Develop, maintain, and evolve cloud networking automation as part of the cloud plat

Were urgently hiring a Senior Cloud & DevOps Engineer on behalf of our client, a fast-moving, innovation-driven company in New York! This is a hybrid role in NYC with a base salary between $160-185K and an outstanding benefits package.

Build, optimize, and maintain a highly scalable Jenkins platform supporting multiple concurrent teams and workloads. Experience with Software-Defined Networks, VPCs, cloud networking, and infrastructure automation.

EKS or similar Kubernetes platforms.

Proven ability to manage and secure hybrid (Cloud + On-Prem) infrastructure. Our Client is a retail loyalty and marketing platform that helps brick-and-mortar stores increase customer retention and sales. We are seeking an experienced Senior Devops Engineer to design, build, and maintain our hyb

This role will play a key part in ensuring scalability, reliability, and security across our customer engagement platform. You’ll lead initiatives around CI/CD, infrastructure automation, and cloud architecture while mentoring a small team of DevOps engineers. DevOps or Cloud Engineering, with at