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Machine Learning Engineer 4 - Manager IC\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One—ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging.\n, • 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.\n, • 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).\n, • 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Role: AWS Systems Engineer \n Location: Jersey City , NJ \n W2 candidates only \n As a cloud infrastructure senior engineer, you'll set technical direction across two connected sides of the platform: \n • Platform / Infrastructure — event-driven build pipelines using AWS Step Functions and Lambda, defined as Infrastructure as Code in CloudFormation, orchestrating the full image lifecycle from import through customization, testing, distribution, and decommissioning. \n • Image customization & operations — the reusable packages, Ansible provisioning scripts, and compliance tests that define each image, delivered through a PR-driven, automated release pipeline. \n \n What you'll do \n • Own and evolve serverless, event-driven build automation (Step Functions, Lambda, SNS, S3, EC2) that customizes machine images at scale. \n • Lead Infrastructure as Code (CloudFormation) that deploys consistently across many regions and accounts. \n • Build and harden OS images for RHEL, Windows, macOS, and Amazon Linux, including GPU, ARM64, and Kubernetes node variants, to strict security and compliance standards. \n • Raise the bar on code quality, test coverage, and CI/CD health; mentor engineers and lead technical reviews. \n • Partner with OS engineering and consuming application teams to keep the image catalog secure, current, and reliable. \n \n What we're looking for \n 7+ years in infrastructure, platform, or cloud engineering, with strong hands-on AWS experience (EC2/AMIs, Lambda, Step Functions, CloudFormation, IAM, S3, SNS). Custom VM Image building skills Google and Azure experience is plus. \n • Hands on experience in creating complex AI skills, agents. \n • Strong Python and a solid automated-testing discipline. \n • Proven ownership of production Infrastructure as Code and CI/CD pipelines, ideally multi-region/multi-account. \n • Linux and/or Windows administration and OS hardening experience; macOS a plus. \n • Configuration management (Ansible) and compliance-as-code testing (InSpec) strongly preferred. \n • Demonstrated technical leadership and mentoring.

Job DescriptionAbout HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. Job Description: We are seeking a talented Support Engineer to join our team and provide exceptional technical support for our industry-leading data labeling software. As a Support Engineer, you will play a crucial role in ensuring the seamless operation of our platform and assisting our clients in resolving any technical issues they encounter. You will work closely with our product and engineering teams to deliver prompt and effective solutions, contributing to the overall success of our product. As our team scales, this role will play a critical part in advancing our support maturity—improving processes, strengthening our ability to deliver proactive support, and contributing to internal tooling and automation. Responsibilities: • Provide technical support to clients via email and support tickets, addressing inquiries related to the installation, configuration, and usage of Label Studio., • Diagnose and troubleshoot software issues reported by clients, utilizing debugging tools and logs to identify root causes and implement timely resolutions., • Collaborate closely with Product, Engineering, and Customer Success to drive issue resolution., • Create internal and external documentation to improve support quality and self-service., • Proactively identify opportunities for process improvements and contribute to the continuous enhancement of our support procedures and workflows., • Provide structured, high-quality customer updates throughout investigations. Requirements: • 3–5 years in technical support or support engineering for a SaaS or developer-focused product., • Strong debugging skills across cloud environments, APIs, browser issues, and containerized systems., • Proficiency in Python or Javascript programming language for scripting and automation tasks., • Strong understanding of cloud computing platforms, particularly AWS (Amazon Web Services), including services such as EC2, S3, Lambda, and IAM., • Familiarity with machine learning concepts and frameworks, with experience working with ML models preferred., • Excellent problem-solving skills and ability to analyze complex technical issues., • Exceptional communication skills, both written and verbal, with a customer-centric approach., • Ability to thrive in a fast-paced environment, managing multiple priorities effectively and meeting tight deadlines., • Strong teamwork and collaboration skills, with the ability to work cross-functionally with engineering, product management, and customer success teams. Preferred Qualifications: • Experience with Kubernetes, container orchestration, or infrastructure debugging., • Knowledge of ML/AI workflows or data labeling pipelines., • Familiarity with Agile development methodologies., • Familiarity with REST APIs and integrating with external services. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range for the United States is $75,000 to $90,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Job Title: Cloud Infrastructure Automation Engineer Duration: 12-18 months Location: Plano, TX / Charlotte, NC / Jersey City (local candidates only, in-person interview required) Required Pay Scale: $80-$85/hr - W2 *Due to client requirements this role is only open to USC or GC candidates* We are looking for a hands-on infrastructure automation engineer who can translate business and infrastructure requests into technical solutions and build the automation to deliver them. The ideal candidate will have strong Ansible and Terraform experience, hands-on development skills, and experience automating infrastructure across on-premises and public cloud environments. Project Details • Ongoing infrastructure automation and cloud engineering initiatives, • Build and maintain automation that can provision, configure, and manage infrastructure across multiple endpoints, • Automate workflows across VMware, Windows, Linux, and public cloud environments, • Support messaging and event-driven infrastructure across on-premises and cloud platforms, • Work in an Agile environment and collaborate with infrastructure, application, and business teams Must-Haves / Required Skills • Strong hands-on experience with Ansible, including developing and maintaining automation/playbooks, • Strong hands-on experience with Terraform for infrastructure automation and provisioning, • Hands-on development/coding experience; able to build and troubleshoot automation rather than simply execute existing scripts, • Experience translating business or infrastructure requirements into technical automation solutions, • Experience automating across on-premises infrastructure and public cloud environments, • Experience with MQ (Message Queue) at a basic to mid-level, • Experience with IBM MQ in both on-premises and cloud environments, • Experience with AWS, particularly Amazon MSK, • Experience with Azure Event Hubs, • Experience automating against multiple infrastructure endpoints, such as:, • VMware, • Windows, • Linux, • AWS / Azure, • Experience working in an Agile development environment What They’ll Do • Build infrastructure automation using Ansible and Terraform, • Develop automation that can interact with VMware, Windows, Linux, AWS, Azure, and other infrastructure endpoints, • Translate requests from business and infrastructure teams into practical technical solutions, • Automate provisioning, configuration, deployment, and operational tasks, • Support and automate MQ environments, including on-premises IBM MQ and cloud-based messaging technologies, • Work with AWS MSK and Azure Event Hubs as part of cloud messaging/event-driven solutions, • Develop and troubleshoot automation code and scripts, • Collaborate with infrastructure, cloud, application, and business teams in an Agile environment, • Identify manual infrastructure processes that can be automated and develop solutions to improve efficiency and consistency Nice-to-Haves • Deeper IBM MQ administration or engineering experience, • Experience with additional AWS/Azure infrastructure services, • Python or other scripting/programming experience, • Experience integrating automation with APIs and infrastructure management platforms, • Experience with CI/CD pipelines and automated infrastructure deployment, • Financial services or other large enterprise experience About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: info@matlensilver.com // 908-393-8600 At The Matlen Silver Group, Inc., W2 employees are eligible for the following benefits: • Health, vision, and dental insurance (single and family coverage), • 401(k) plan (employee contributions only)

Senior Software Engineer Hybrid - Newark, NJ | Right to Hire About the Role • Join a major financial firm building technology that supports its enterprise AI governance ecosystem, • Design, develop, and maintain scalable solutions for the AI Product Inventory, workflow automation, control validation, platform integrations, cloud-native capabilities, and data management, • Work with Product Owners, Data Engineers, Platform Engineers, Risk, Compliance, and Responsible AI stakeholders, • Combine hands-on development with technical leadership and solution design Position Details • Title: Senior Software Engineer, • Location: Hybrid - Newark, NJ, • Type: Right to Hire (Contract to Hire) Pay • $55-65/hr on W2, • No C2C Key Responsibilities Platform Development and Engineering • Design, develop, and maintain scalable software supporting Responsible AI governance processes, • Build and enhance capabilities within the Responsible AI platform and related governance platforms, • Develop reusable services, APIs, microservices, and integration frameworks, • Build secure, performant, and resilient applications using modern engineering practices, • Develop and deploy cloud-based solutions using AWS services and cloud-native architecture Systems Integration • Integrate governance platforms with AWS, CMDB, ServiceNow, IAM solutions, data repositories, and reporting platforms, • Develop RESTful APIs and event-driven integrations, • Automate data exchanges and artifact collection across platforms, • Build AWS integrations using API Gateway, Lambda, S3, and event-driven services Automation and Workflow Management • Design and implement workflow automation for AI intake, review, approval, monitoring, and control processes, • Improve operational efficiency through automation and orchestration, • Support governance control gates and evidence collection processes, • Develop workflow solutions using BPMN/Camunda and Groovy scripting Data and Solution Quality • Implement validation, reconciliation, and quality controls for AI inventory and governance data, • Develop monitoring and observability solutions, including Amazon CloudWatch, • Support reporting, analytics, and dashboard capabilities Technical Leadership • Provide technical guidance to engineers and developers, • Participate in architecture reviews and technology selection, • Promote engineering best practices, secure coding standards, and DevSecOps principles, • Contribute to technical roadmaps and platform strategy Collaboration and Governance • Partner with Product Owners and business stakeholders to define requirements, • Collaborate with Responsible AI, Risk, Compliance, Legal, and Technology teams, • Produce and maintain technical documentation, architecture diagrams, runbooks, and support materials Required Qualifications • Bachelor’s degree in Computer Science, Software Engineering, IT, or related field (equivalent experience considered), • 5+ years of software engineering experience, • Experience developing enterprise applications and integrations, • Experience in Agile delivery environments, • Experience supporting cloud-based solutions and distributed systems, • Hands-on experience developing, deploying, or supporting applications in AWS Technical Skills • Languages: Python, JavaScript/TypeScript, SQL, • Frameworks: Node.js, React, • Architecture: Microservices

Project Description: We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise Business Intelligence platforms and associated AWS services. The role will primarily support Tableau and Amazon QuickSight / Amazon Quick Suite, including a custom BI-as-a-Service (BIaaS) platform built on top of Amazon QuickSight. The BIaaS platform consists of multiple backend services, RESTful APIs, AWS serverless and data services, and a web-based user interface. This is primarily a platform engineering and production support role, rather than a dashboard/report development position. The successful candidate will be comfortable troubleshooting across BI, application, API, data, AI-assisted analytics, and cloud infrastructure layers and working with engineering teams to maintain a reliable and stable production service. For Canada this role is for subcontractor. For NYC: compensation 90000-115000 UAS Gross per year and based on your interview results. Responsibilities: Production Operations & Support • Provide day-to-day production operational support for Tableau, Amazon QuickSight / Quick Suite, the BI-as-a-Service platform, and its supporting AWS services., • Monitor platform availability, performance, capacity, scheduled workloads, and overall service health., • Investigate and resolve production incidents, user issues, failed jobs, connectivity problems, access issues, API failures, and platform errors., • Perform root-cause analysis and work with engineering, application, data, and infrastructure teams to resolve recurring issues., • Support incident, problem, release, and change-management processes., • Develop and maintain operational runbooks, troubleshooting procedures, and support documentation., • Identify opportunities to automate repetitive operational and administrative activities., • Proactively identify platform health, reliability, and supportability improvements. Tableau Platform Administration • Administer and maintain the enterprise Tableau Server environment., • Support Tableau Server infrastructure, configuration, upgrades, patching, and platform maintenance., • Manage sites, projects, users, groups, permissions, and content access., • Troubleshoot extracts, refresh schedules, data-source connectivity, authentication, and performance issues., • Monitor Tableau Server processes, logs, resource utilization, and platform health., • Assist with platform upgrades, migrations, configuration changes, and infrastructure-related activities. Amazon QuickSight / Quick Suite Administration, Authoring & Support Provide day-to-day Amazon QuickSight / Quick Suite production support, administration, and operational troubleshooting. Support the lifecycle, administration, and troubleshooting of BI and analytics assets, including: • Analyses, • Dashboards, • Datasets, • Data Sources, • Themes, • Folders, • Templates, • Topics and conversational BI capabilities, • Other QuickSight / Quick Suite assets and platform objects, • Troubleshoot issues related to creating, updating, publishing, sharing, and accessing analyses and dashboards., • Support QuickSight authoring capabilities and assist authors with analysis, visualization, dataset, data-source, dashboard, and semantic configuration issues., • Troubleshoot dataset ingestion and refresh failures, including SPICE ingestion, scheduled refreshes, and direct-query scenarios., • Diagnose data-source connectivity and access issues involving Amazon Athena and other supported data sources., • Support and troubleshoot themes and reusable assets, including permissions and sharing., • Manage and troubleshoot users, groups, namespaces, folders, asset permissions, and access controls., • troubleshoot dashboard and analysis permissions, sharing, ownership, and access issues., • Understand and troubleshoot security and AWS integrations, including IAM-based access and permissions., • Support and troubleshoot programmatic management of QuickSight assets using QuickSight APIs and AWS SDKs., • Troubleshoot API operations involving analyses, dashboards, datasets, data sources, themes, permissions, and other supported assets., • Support embedded QuickSight capabilities and troubleshoot embedding, authentication, authorization, and access-related issues where applicable., • Amazon Q / Generative BI & Quick Suite Capabilities, • Support and develop operational familiarity with Amazon Q capabilities within QuickSight / Quick Suite, including natural-language and generative BI experiences., • Support Amazon Q Topics and associated semantic configurations used to provide business context for natural-language analytics., • Troubleshoot user access, permissions, data availability, semantic configuration, and other issues affecting Amazon Q experiences., • Support conversational BI capabilities that allow users to ask questions of enterprise data using natural language., • Support newer Quick Suite conversational and agentic experiences, including chat agents, agents, and spaces, where adopted by the platform., • Understand how Spaces organize relevant data, content, context, and resources used by Quick Suite experiences., • Assist with operational support and troubleshooting of Amazon Q / Quick Suite agents, including access, configuration, underlying data/content availability, and integration-related issues., • Work with platform and engineering teams as Amazon Q and Quick Suite capabilities evolve and are incorporated into the BI-as-a-Service offering. BI-as-a-Service Platform Provide operational and technical support for our internally developed BI-as-a-Service platform built on Amazon QuickSight, including the AWS data, API, serverless, monitoring, and analytics services that underpin the platform. Platform & QuickSight Integration • Understand the end-to-end BIaaS architecture and troubleshoot issues across APIs, backend services, AWS infrastructure, data services, QuickSight, and Quick Suite capabilities., • Support integrations with Amazon QuickSight using QuickSight APIs and AWS SDKs., • Troubleshoot the programmatic creation, update, deployment, sharing, and management of QuickSight assets., • Troubleshoot asset provisioning, permissions, embedding, authentication, authorization, and other QuickSight integration workflows., • Analyze application and AWS service logs to diagnose production issues., • Work closely with platform engineering and development teams to identify defects and implement sustainable fixes., • Assist with deployments, configuration changes, environment maintenance, and production releases. AWS Data & Analytics Services • Support and troubleshoot Amazon Athena queries and integrations used by BI applications and reporting workloads., • Understand Athena connectivity, permissions, workgroups, query execution, and common performance or operational issues., • Support the AWS Glue Data Catalog, including databases, tables, metadata, schemas, partitions, and integrations with Athena and QuickSight., • Troubleshoot metadata, schema, partition, and data-discovery issues involving the Glue Data Catalog., • Understand and support AWS Lake Formation permissions and data-access controls., • Troubleshoot access issues across Lake Formation, Glue Data Catalog, Athena, IAM, and QuickSight., • Understand the end-to-end data-access path from underlying data sources through Athena and the Glue Data Catalog to QuickSight. AWS Serverless & REST API Services • Support and troubleshoot AWS Lambda functions used by the BI-as-a-Service platform., • Understand Lambda configuration, IAM roles, environment variables, triggers, execution failures, and timeouts., • Support Amazon API Gateway endpoints integrated with Lambda and other backend services., • Troubleshoot API Gateway routing, authentication/authorization, request and response handling, integration failures, and HTTP errors., • Understand and troubleshoot RESTful APIs, including HTTP methods, headers, request/response payloads, authentication, authorization, and error handling., • Use API testing and troubleshooting techniques to diagnose service integration issues., • Understand interactions between API Gateway, Lambda functions, backend services, AWS APIs, and QuickSight APIs. Monitoring & Observability • Use Amazon CloudWatch to monitor and troubleshoot the BIaaS platform and its supporting AWS services., • Analyze CloudWatch Logs, metrics, dashboards, and alarms to identify and diagnose production issues., • Troubleshoot Lambda executions and API Gateway requests using CloudWatch logging and metrics., • Correlate events and logs across multiple services to identify the source of end-to-end transaction failures., • Support and improve operational monitoring, alerting, and platform-health dashboards., • Identify monitoring gaps and opportunities to improve proactive detection of production issues. Mandatory Skills Description: Required Skills & Experience • Strong hands-on experience supporting enterprise BI platforms in production environments., • Strong experience with Tableau Server administration and operational support., • Strong hands-on experience with Amazon QuickSight administration, authoring, and production support., • Experience supporting and troubleshooting QuickSight Analyses, Dashboards, Datasets, Data Sources, Themes, Folders, Templates, permissions, and related assets., • Experience troubleshooting SPICE ingestion, dataset refreshes, direct queries, data-source connectivity, dashboard publishing, sharing, and access issues., • Experience with Amazon QuickSight APIs / AWS SDKs, including programmatic management of QuickSight assets and permissions., • Working knowledge of Amazon Athena and troubleshooting Athena-based BI workloads., • Working knowledge of the AWS Glue Data Catalog, including databases, tables, schemas, partitions, and metadata., • Understanding of AWS Lake Formation, particularly permissions and data-access management., • Experience with AWS Lambda and troubleshooting serverless application components., • Experience with Amazon API Gateway, particularly Lambda integrations and REST APIs., • Strong understanding of RESTful API concepts and experience troubleshooting API integrations., • · Hands-on experience with Amazon CloudWatch, including logs, metrics, dashboards, and alarms., • Strong understanding of AWS IAM, roles, policies, permissions, and service-to-service access., • Experience troubleshooting BI platform infrastructure, data connectivity, authentication, authorization, permissions, and performance issues., • Ability to analyze application, server, API, Lambda, and AWS service logs to troubleshoot issues across multiple technology layers., • Experience with production incident management, problem management, and root-cause analysis., • Experience with scripting or automation using technologies such as Python, PowerShell, Bash, AWS CLI, or similar tools., • Strong troubleshooting, analytical, documentation, and communication skills. Nice-to-Have Skills Description: • Experience or familiarity with Amazon Q in QuickSight / Quick Suite, including conversational and generative BI capabilities., • Experience with Amazon Q Topics and semantic configuration for natural-language analytics., • Familiarity with Quick Suite agents, chat/agent experiences, and Spaces., • Understanding of modern web applications and experience with Angular, JavaScript, or TypeScript., • Experience operating a BI Platform-as-a-Service or BI-as-a-Service environment., • Experience supporting custom applications built around Amazon QuickSight APIs., • Experience with embedded QuickSight and programmatic dashboard or asset management., • Experience troubleshooting end-to-end data flows involving QuickSight, Athena, Glue Data Catalog, Lake Formation, S3, and IAM., • Experience supporting serverless architectures involving API Gateway and Lambda., • Experience with Tableau Server infrastructure upgrades, backup/restore, monitoring, and performance tuning., • Familiarity with CI/CD pipelines and application deployment processes., • Familiarity with infrastructure-as-code and cloud deployment practices., • Familiarity with ITIL-based incident, problem, and change-management practices., • Experience supporting enterprise environments with strong security, governance, and access-control requirements.

Position Details • Job Title: Appian BPM Developer, • Employment Type: Contract-to-Hire, • Work Arrangement: Hybrid – 3 days onsite per week, • Locations: Jersey City, NJ / Dallas, TX / Tampa, FL, • Work Schedule: Full-time, • Engagement: Contract with potential conversion to direct employment Key Responsibilities • Design, develop, and implement enterprise BPM applications using Appian., • Lead migration initiatives from existing BPM platforms to Appian., • Define migration strategy, technical roadmap, implementation approach, and delivery plans., • Develop Appian process models, SAIL interfaces, rules, and records., • Work with both Appian Cloud and on-premises environments., • Integrate Appian applications with enterprise systems using REST APIs and microservices., • Collaborate with cross-functional teams, architects, business stakeholders, and technical teams., • Support enterprise workflow automation, application modernization, and deployment activities. Required Technical Skills • 8+ years of Java/J2EE and BPM experience., • Strong hands-on Appian BPM development experience., • Mandatory experience migrating from another BPM platform to Appian., • Appian SAIL, process models, records, and rules., • Appian Cloud and on-premises experience., • Java/J2EE, REST APIs, and microservices., • Oracle and Snowflake database integrations., • AWS, Docker, and Kubernetes., • Jenkins, Git, and Maven., • Exposure to AI-assisted tools such as Amazon Q, AWS Kiro, and Microsoft Copilot., • Strong communication and stakeholder management skills.

Contract positions for a major investment firm. Hybrid work environment in Newark, NJ. Data Engineer (AWS) Job Summary: We are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and architectures in the AWS cloud environment. This role will collaborate closely with data scientists, analysts, and other business stakeholders to deliver robust data solutions. Key Responsibilities: • Design, build, and maintain efficient, reusable, and reliable architecture and code for data pipelines and data applications on AWS., • Build robust data ingestion pipelines (from on-prem to AWS and within AWS) using AWS services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS., • Develop and manage ETL/ELT processes to collect, process, and store data from multiple sources, ensuring data quality, integrity, and security., • Architect and implement end-to-end data solutions (ingestion, storage, integration, processing, access) on AWS, with a focus on data lakes and data warehouses., • Participate in the architecture and system design discussions for high-scale data engineering projects., • Independently perform hands-on development, unit testing, and participate in code reviews to ensure adherence to best practices., • Implement serverless applications using AWS Lambda, API Gateway, Step Functions, and other AWS technologies., • Migrate data from traditional relational databases, file systems, and APIs to AWS-based data lakes (S3), RDS, Aurora, and Redshift., • Implement high-velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)., • Architect and implement CI/CD strategies for enterprise data platforms., • Collaborate with product, operations, QA, and cross-functional teams throughout the software development cycle., • Stay abreast of new technology developments, implement POCs for new tools/technologies, and onboard them for real-world use cases., • Identify and resolve performance issues and continuously optimize for cost, reliability, and scalability. Required Qualifications: • Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience., • 5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises., • Strong programming experience with Python, Shell scripting, and SQL., • Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager., • Experience in serverless application development and data pipeline orchestration., • Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS., • Knowledge of ETL/ELT, data modeling, and big data technologies., • Familiarity with data warehousing concepts and cloud-based architecture., • Strong problem-solving skills and attention to detail., • Excellent communication and teamwork abilities. Preferred Qualifications: • Experience with additional AWS services: API Gateway, ElasticSearch, SQS., • Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation)., • Experience with DevOps practices and CI/CD pipelines., • Experience implementing end-to-end streaming solutions (Amazon Kinesis, SQS, Kafka)., • AWS Solutions Architect or AWS Developer Certification preferred., • Understanding of Lakehouse/data cloud architecture., • Knowledge of data governance and compliance standards.

AMAZON MEDIA SPECIALIST (ENGLEWOOD CLIFFS, NJ) Our client, an in-house advertising agency with offices in Englewood Cliffs, NJ, is looking to add to staff an experienced Amazon Media Specialist starting ASAP. This role is hybrid, with 4 days on-site, and will support the Retail Media team by managing Amazon Search (Sponsored Ads) and Display (DSP) campaigns that drive sales and business growth across Amazon. Daily operations for this role include hands-on-keyboard campaign execution, optimization, daily budget pacing and bidding, using Amazon’s platform and third-party tools (i.e., Skai, Amazon Marketing Cloud, etc.). As this role is highly integrated with Channel Marketing, Sales, and other key stakeholders within the organization, this individual will have visibility into the larger Amazon ecosystem and play a critical role in amplifying success and results for the overall retail business. RESPONSIBILITIES: • Effectively manage on-site Amazon paid media activity (Sponsored Ads, DSP) to meet business objectives and goals with a focus on Amazon DSP, • Participate in Amazon media strategy and tactical planning, assisting the team in media proposals, • Build and execute Sponsored Ads and DSP campaigns, inclusive of end-to-end campaign setup, keyword mining, category/competitor research, audience strategy and development, etc., • Manage pacing and monthly budgets, allocation strategy across ad formats and tactics, bidding and related settings, spend reconciliation and other related financial upkeep, • Analyze performance for optimizations and prepare report share-outs, identifying actionable insights and opportunities, • Collaborate with cross-functional teams such as Channel Marketing, Creative, and Sales to ensure holistic planning and execution, • Identify and implement testing opportunities to drive performance improvements and contribute to broader strategic initiatives QUALIFICATIONS: • Bachelor’s Degree in Marketing, Advertising, or Communications highly preferred, • 3+ years in a strategy or analytics-focused role with experience implementing and managing media campaigns, • Minimum 5 years of hands-on management of Amazon Advertising campaigns, • Deep understanding of digital media campaign management and optimization best practices with an emphasis on Amazon Search and DPS, • Strong analytical and technical skills, with proficiency in Microsoft Excel and the ability to develop data-driven insights, • Highly organized, with a strong work ethic and attention to detail, • Strong interpersonal and relationship management skills with the ability to work with cross-functional teams, • Ability to work in a fast-paced, high-pressure environment without sacrificing accuracy, • Ability to work under tight deadlines and manage competing priorities, • Self-motivated with a passion for learning new tools and technologies, • Familiarity with Amazon Retail Marketplace (Vendor Central) environment is a plus EQUAL OPPORTUNITY STATEMENT: Elysian Staffing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, or any other legally protected status. All employment decisions are based on qualifications, merit, and business needs.

oXya is an independent provider of cloud and managed services, specializing in SAP technical services and cloud solutions. We support midsize and global enterprises in increasing the efficiency, stability, and flexibility of their mission-critical IT systems. Our dedicated teams of experts operate as an extension of our clients’ IT organizations, delivering hands-on technical expertise and long-term partnership. As an independent advisor, we help clients select the most appropriate technical solutions for their business needs — and manage those solutions end-to-end. oXya runs SAP and related systems across a variety of environments, including private cloud, AWS, Microsoft Azure, and Google Cloud, ensuring secure, reliable, and high-performing operations. About the Role As part of our continued growth, we are expanding our capabilities in SAP data modernization and multi-cloud integration. We are looking for an SAP Data Integration Engineer to design, build, and support reliable data integration solutions between SAP systems and modern cloud data platforms. This role sits at the intersection of SAP technology, enterprise data engineering, and cloud architecture. The successful candidate will help clients unlock SAP data for analytics, BI, AI/ML, reporting, and operational use cases while ensuring secure, scalable, and well-governed data flows. KEY RESPONSIBILITIES SAP Data Integration • Design, build, and operate data pipelines connecting SAP systems with cloud and enterprise data platforms., • Work with SAP integration and replication technologies such as SAP SLT, SAP Datasphere, SAP CPI / Integration Suite, SAP BTP connectivity services, and related SAP data tools., • Analyze SAP source systems, including ECC, S/4HANA, BW, ODP, CDS views, ABAP tables, and core business data structures., • Implement secure connectivity patterns using tools and approaches such as SAP Cloud Connector, Private Link, VPN, and cloud-native networking., • Monitor, troubleshoot, and optimize end-to-end data flows across SAP, cloud, and BI/analytics layers. Enterprise Data Engineering • Design, develop, and optimize data models and pipelines on modern cloud data platforms such as BigQuery, Snowflake, Azure Synapse, Amazon Redshift, or equivalent technologies., • Use modern data engineering tools and frameworks such as dbt, Dataform, Airflow, Azure Data Factory, AWS Glue, Fivetran, Kafka, or similar platforms where appropriate., • Apply best practices for performance, cost optimization, reliability, automation, and maintainability., • Support CI/CD and version control practices for data pipelines and integration artifacts. PROJECT/CHANGE MANAGEMENT Architecture, Governance, and Documentation • Contribute to integration architecture across SAP and non-SAP systems, including batch, CDC, streaming, API-based, and event-driven integration patterns., • Define practical ingestion, transformation, and replication strategies aligned with client requirements and operational constraints., • Document technical designs, data flows, lineage, operational procedures, and support handover materials., • Promote sound data governance, data quality, security, and compliance practices when handling client data. Delivery • Support planning, technical decision-making, risk identification, and delivery execution in project-based and managed services environments., • Take ownership of technical topics from design through support, with attention to supportability and operational readiness. COMMUNICATION/PRESENCE • Work closely with SAP Basis, functional teams, cloud architects, BI teams, security teams, project managers, and client stakeholders, including distributed teams., • Operate effectively in client-facing environments, translating business requirements into practical technical solutions., • Serve as a trusted technical advisor to clients, helping stakeholders understand SAP data structures, integration options, governance considerations, and modernization roadmaps., • Actively contribute to pre-sales, solutioning, and client workshops by helping define integration architectures, estimate delivery effort, identify risks, and present technical recommendations to clients and prospects., • Support workshops, solution reviews, technical handovers, and knowledge-sharing sessions., • Mentor and guide team members on SAP data integration, cloud data engineering, and modern integration patterns, strengthening internal expertise and delivery consistency across projects. REQUIRED SKILLS AND TECHNICAL EXPERIENCE • Hands-on experience with at least one SAP data integration or replication technology, such as SAP SLT, SAP Datasphere, SAP CPI / Integration Suite, SAP Data Intelligence, or equivalent SAP integration tooling., • Strong understanding of SAP source systems and data structures, especially ECC and/or S/4HANA., • Strong SQL skills and practical experience with at least one modern cloud data platform, such as BigQuery, Snowflake, Azure Synapse, Amazon Redshift, or equivalent., • Experience designing, building, supporting, or troubleshooting data pipelines in enterprise environments., • Understanding of APIs, REST/SOAP services, event-based integration, message queues, or enterprise integration patterns., • Understanding of governance, security, lineage, and compliance considerations for enterprise data., • Ability to document technical solutions clearly and communicate effectively with both technical and business stakeholders., • Strong analytical mindset, problem-solving skills, ownership, and ability to work across multiple clients and priorities., • Curious, adaptable, and willing to learn across SAP, cloud, and data engineering technologies; structured and quality-focused, with strong attention to documentation. PREFERRED QUALIFICATIONS • 2–3 years of hands-on experience with cloud data engineering or modern data platform delivery., • Experience with orchestration, transformation, or ingestion tools such as Airflow, dbt, Dataform, Azure Data Factory, AWS Glue, Fivetran, Kafka, or similar technologies., • Knowledge of Python for data transformation, automation, scripting, or pipeline support., • Experience with SAP BTP, SAP Cloud Connector, hybrid connectivity, private networking, or cloud security patterns., • Familiarity with ODP, CDS views, ABAP debugging, and SAP functional data areas such as FI/CO, MM, or SD., • Experience in industries such as manufacturing, retail, financial services, or other SAP-intensive sectors., • Awareness of emerging SAP data modernization solutions, including SAP Business Data Cloud, SAP Datasphere evolution, and the SAP-Databricks partnership, with an interest in helping clients leverage these technologies for advanced analytics and AI initiatives., • SAP certification in SAP Datasphere, SAP Integration Suite, SAP BTP, or related SAP technology., • Cloud or data platform certification in GCP (Professional Data Engineer), Microsoft Azure (Azure Data Engineer Associate), AWS, Snowflake, Databricks, or equivalent. EDUCATION/EXPERIENCE REQUIREMENTS • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Engineering, or a related field preferred. Equivalent professional experience in SAP, data integration, or cloud data engineering will also be considered., • 7+ years of experience in SAP technical, SAP integration, data integration, or enterprise data roles., • Proven experience delivering SAP-to-cloud or SAP-to-enterprise data integration solutions., • Practical experience supporting production-grade data pipelines, including monitoring, troubleshooting, and performance optimization., • Experience working in consulting, managed services, or complex multi-client enterprise environments is preferred. Why Join Us • Work on Mission-Critical SAP Environments: Gain hands-on experience with complex enterprise systems that support global business operations., • Bridge SAP and Modern Cloud Data Platforms: Help clients modernize how they access, move, govern, and use SAP data., • Collaborate with Experienced Experts: Work alongside skilled SAP, cloud, data, and infrastructure professionals who value knowledge sharing and continuous improvement., • Grow Your Career: Develop high-demand expertise across SAP integration, data engineering, cloud platforms, and enterprise architecture., • Shape Next-Generation SAP Data Platforms: Work with emerging technologies such as SAP Business Data Cloud, SAP Datasphere, cloud-native analytics platforms, and AI-ready data architectures. All qualified applicants will receive consideration for employment without regard to race, color, religion, place of origin, ethnic origin, national origin, ancestry, age, sex, sexual orientation, gender identity, transgender status, genetic information, mental or physical disability, marital status, pregnancy, veteran status, or any other characteristic protected by applicable national, state, or local law.

Overview Grain Group accelerates growth for ambitious consumer brands by aligning business insights with ROI-driven marketing. The team comprises strategic thinkers with backgrounds in business, media, technology, and finance. Position Summary Grain Group is seeking a Sr BI Analyst for hands-on, technical analytics and measurement work across our client portfolio. The role requires strong SQL skills, dashboard and database management, expertise in conversion tracking and measurement implementation, comfort building scripts and automations in Google Sheets and Apps Script, and experience using AI coding tools to build working analyses and internal tools. You will connect paid media, retail, CRM, e-commerce, and sales data for CPG and product brands, build the measurement infrastructure required to accurately track performance, and turn that data into insights, performance forecasts, and recommendations that drive business outcomes. Key Responsibilities • Write and maintain SQL in BigQuery that joins media platform, retail, e-commerce, and client-side sales data into clean, reusable tables, • Own data integrity across accounts: QA tracking, tagging, conversion events, and data feeds, and fix breaks before they reach client reporting, • Build and maintain Looker Studio dashboards aligned to client KPIs and business objectives, • Build and update monthly Impact Estimates using historical performance, benchmarks, and current results; compare against actuals and adjust the method when estimates drift, • Prepare data for and interpret marketing mix models (MMM), incrementality tests, and attribution analysis, • Analyze sales and sell-through data alongside media spend for CPG clients across Amazon, Walmart, Instacart, and DTC, • Write Google Apps Script and Sheets automations for pacing, QA, data pulls, and report prep, • Vibe code internal tools and scripts with AI coding assistants (Claude, Codex, Cursor, or similar), then test and ship them, • Manage and implement conversion tracking across platforms, including Google Tag Manager, platform pixels/tags, and ad account conversion action settings, • Implement and troubleshoot server-side and advanced measurement solutions, including Conversion API and similar platform integrations, • Build offline and CRM-based conversion pipelines that send lead stage and downstream outcome data back to advertising platforms for reporting, attribution, and bid optimization, • Design funnel-based measurement frameworks that connect upper-funnel actions to qualified leads, opportunities, purchases, revenue, or other meaningful business outcomes, • Standardize recurring analytics workflows so they run the same way on every account Strategic & Cross-Functional Responsibilities • Serve as a subject matter expert for data, measurement, conversion tracking, and analytics tooling, • Partner with Strategy team on planning inputs and with Performance team on interpreting results and improving execution, • Turn analysis into clear, decision-ready recommendations for strategists and clients, • Develop measurement plans that define KPIs, conversion hierarchies, funnel stages, data sources, and optimization signals, • Advise teams on conversion architecture, including primary vs. secondary conversion actions, attribution considerations, offline conversion imports, enhanced/server-side measurement, and platform optimization signals, • Participate in client calls and presentations to walk through analysis and findings, • Contribute to new business efforts including performance projections, measurement plans, and MMM scoping, • Mentor junior analysts on SQL, data QA, and automation best practices Requirements • 5+ years hands-on experience in media analytics, BI, or marketing analytics at a CPG brand, product company, or agency serving them, • Proven experience analyzing sales and marketing data together: spend, impressions, and conversions alongside retail sales, sell-through, or e-commerce revenue, • Advanced SQL, including CTEs, window functions, and multi-source joins, • Strong Google Sheets and Apps Script skills: custom functions, triggers, API pulls, and automations, • Hands-on experience vibe coding with AI tools, including testing and debugging the output, • Working knowledge of paid media platforms (Google, Meta, Amazon Ads, programmatic) and metrics such as ROAS, CPA, NTB, and incrementality, • Experience building dashboards in Looker Studio, Tableau, Power BI, or similar, • Hands-on experience implementing and troubleshooting digital conversion tracking using tools such as Google Tag Manager, configuring ad platform (Meta/Google/etc) conversion actions, event mappings, optimization events, and attribution settings, • Experience with advanced or server-side measurement such as Meta Conversion API, Google Enhanced Conversions, server-side GTM, or similar solutions, • Understanding of conversion architecture, including event deduplication, identifiers, attribution, conversion hierarchies, and primary vs. secondary optimization events, • Clear communicator who can explain findings to non-technical partners and clients, • Self-starter thriving in fast-paced, entrepreneurial environments, • Experience with MMM platforms such as Meridian, Robyn, PyMC-Marketing, Recast, or Measured (strong plus), • Familiarity with retail media data (Amazon Marketing Cloud, Walmart Connect, Instacart, Skai), Python or R, or ETL tools such as dbt, Fivetran, or Supermetrics (bonus) Education: Bachelor's degree (required) Experience: • SQL: 3 years (required), • Marketing or media analytics: 3 years (required), • GTM conversion tracking / measurement implementation: 3 years (required), • Excel + Google Sheets / Apps Script: 3 years (required), • Marketing mix modeling: 1 year (preferred) Language: English (required) Location: Hybrid. Must commute to New York, NY 10018 (in person) currently 3-days a week. Benefits • 401(k), • Dental insurance, • Flexible spending account, • Health insurance, • Health savings account, • Paid time off, • Parental leave, • Vision insurance Job Type: Full-time Pay: $90,000.00 - $120,000.00 per year Ability to Commute: • New York, NY 10018 (Required)

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 58 offices in 22 countries within key global markets. Our challenge We are looking for an experienced GenAI Developer to drive the design, development, and implementation of Generative AI solutions across the organization. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI/ML engineering, cloud platforms, and production-grade application development. The GenAI Lead will work closely with business, product, engineering, data, and security teams to identify high-value AI use cases and deliver scalable, secure, responsible, and measurable GenAI solutions. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York City, NY is $100K - $120K & benefits (see below). The Role Responsibilities: • Lead the end-to-end design and implementation of Generative AI solutions., • Define the organization’s GenAI technical strategy, architecture, standards, and best practices., • Identify and evaluate business use cases suitable for GenAI adoption., • Design and develop LLM-powered applications, AI agents, copilots, chatbots, and automation solutions., • Build and implement Retrieval-Augmented Generation pipelines using enterprise data sources., • Work with foundation models such as OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, Meta Llama, or equivalent models., • Develop prompt engineering strategies, prompt templates, evaluation frameworks, and guardrails., • Design data ingestion, document processing, embedding, chunking, indexing, and retrieval workflows., • Work with vector databases such as Pinecone, Weaviate, Milvus, Chroma, FAISS, or managed cloud alternatives., • Lead model selection, fine-tuning, prompt tuning, and optimization based on business requirements., • Develop scalable APIs and backend services using Python and appropriate frameworks., • Establish practices for model evaluation, hallucination reduction, response quality, latency, and cost optimization., • Ensure solutions comply with security, privacy, responsible AI, governance, and regulatory requirements., • Collaborate with data scientists, ML engineers, software developers, DevOps, product managers, and business stakeholders., • Mentor engineers and provide technical guidance across GenAI initiatives., • Conduct technical reviews, proof-of-concepts, and architecture assessments., • Monitor production systems and continuously improve performance, reliability, and user experience., • Stay updated with emerging developments in LLMs, multimodal AI, agentic AI, and AI infrastructure. Requirements: • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field., • 6+ years of experience in software engineering, data science, machine learning, or AI solution development., • 3+ years of hands-on experience delivering AI/ML or Generative AI solutions., • Strong programming skills in Python., • Strong understanding of Large Language Models, transformer architectures, embeddings, tokens, context windows, and inference., • Hands-on experience with RAG architectures and LLM application development., • Experience with prompt engineering, model evaluation, and AI response optimization., • Experience working with vector databases and semantic search., • Strong knowledge of REST APIs, microservices, and cloud-native application development., • Experience with AI/ML frameworks and libraries such as LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow., • Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud., • Good understanding of databases, data pipelines, unstructured data, and knowledge management., • Familiarity with CI/CD, Docker, Kubernetes, monitoring, and MLOps practices., • Strong knowledge of software architecture, design patterns, scalability, and performance optimization., • Excellent analytical, communication, leadership, and stakeholder-management skills. Preferred skills: • Experience with Azure OpenAI, Amazon Bedrock, Google Vertex AI, or similar managed GenAI platforms., • Experience building AI agents and multi-agent systems., • Knowledge of function calling, tool use, workflow orchestration, and agent memory., • Experience with multimodal AI involving text, images, audio, or video., • Knowledge of fine-tuning techniques such as LoRA, PEFT, and supervised fine-tuning., • Experience with LLM observability and evaluation tools such as LangSmith, Arize, TruLens, MLflow, or equivalent., • Familiarity with responsible AI, explainability, fairness, privacy, and AI governance frameworks., • Experience implementing security controls for prompt injection, data leakage, jailbreaks, and malicious inputs., • Experience with enterprise search, knowledge graphs, OCR, document intelligence, or NLP., • Relevant cloud, AI, or machine learning certifications. We offer: • A multinational organization with 58 offices in 22 countries and the possibility to work abroad., • 10 days of paid annual leave plus an additional 10 days of personal leave (floating days and sick days)., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability., • Flexible hybrid policy., • RRSP with employer’s contribution up to 4%., • A higher education certification policy., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A truly diverse, fun-loving and global work culture. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Title: Cloud Infrastructure Engineer Duration: 12+ Months Location: Plano, Texas, Charlotte, NC, or Jersey City, NJ Cloud Infrastructure Automation Engineer Profile Types We Are Searching For • Cloud Infrastructure Automation Engineer, • DevOps / Infrastructure Automation Engineer, • Cloud Automation EngineerWe are looking for a hands-on infrastructure automation engineer who can translate business and infrastructure requests into technical solutions and build the automation to deliver them. The ideal candidate will have strong Ansible and Terraform experience, hands-on development skills, and experience automating infrastructure across on-premises and public cloud environments. Project Details • Ongoing infrastructure automation and cloud engineering initiatives, • Build and maintain automation that can provision, configure, and manage infrastructure across multiple endpoints, • Automate workflows across VMware, Windows, Linux, and public cloud environments, • Support messaging and event-driven infrastructure across on-premises and cloud platforms, • Work in an Agile environment and collaborate with infrastructure, application, and business teamsMust-Haves / Required Skills, • Strong hands-on experience with Ansible, including developing and maintaining automation/playbooks, • Strong hands-on experience with Terraform for infrastructure automation and provisioning, • Hands-on development/coding experience; able to build and troubleshoot automation rather than simply execute existing scripts, • Experience translating business or infrastructure requirements into technical automation solutions, • Experience automating across on-premises infrastructure and public cloud environments, • Experience with MQ (Message Queue) at a basic to mid-level, • Experience with IBM MQ in both on-premises and cloud environments, • Experience with AWS, particularly Amazon MSK, • Experience with Azure Event Hubs, • Experience automating against multiple infrastructure endpoints, such as:, • VMware, • Windows, • Linux, • AWS / Azure, • Experience working in an Agile development environmentWhat They’ll Do, • Build infrastructure automation using Ansible and Terraform, • Develop automation that can interact with VMware, Windows, Linux, AWS, Azure, and other infrastructure endpoints, • Translate requests from business and infrastructure teams into practical technical solutions, • Automate provisioning, configuration, deployment, and operational tasks, • Support and automate MQ environments, including on-premises IBM MQ and cloud-based messaging technologies, • Work with AWS MSK and Azure Event Hubs as part of cloud messaging/event-driven solutions, • Develop and troubleshoot automation code and scripts, • Collaborate with infrastructure, cloud, application, and business teams in an Agile environment, • Identify manual infrastructure processes that can be automated and develop solutions to improve efficiency and consistencyNice-to-Haves, • Deeper IBM MQ administration or engineering experience, • Experience with additional AWS/Azure infrastructure services, • Python or other scripting/programming experience, • Experience integrating automation with APIs and infrastructure management platforms, • Experience with CI/CD pipelines and automated infrastructure deployment, • Financial services or other large enterprise experience About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: info@matlensilver.com // 908-393-8600 At The Matlen Silver Group, Inc., W2 employees are eligible for the following benefits: • Health, vision, and dental insurance (single and family coverage), • 401(k) plan (employee contributions only)

Position Summary The Senior Data Analyst will serve as the bridge between business stakeholders and the Enterprise Data team. This individual will transform data into actionable insights, define business metrics, ensure data quality, and help expand company's AI-ready data platform. They will work closely with Finance, Sales, Operations, Product, Customer Success, and Engineering to deliver trusted analytics, semantic models, dashboards, and data products. Key Responsibilities Business Intelligence & Analytics • Develop and maintain executive dashboards, reports, and scorecards using Tableau and Snowflake., • Partner with Finance, Sales, Operations, Product, and Customer Success to translate business requirements into analytical solutions., • Perform ad hoc analysis to identify trends, business opportunities, and operational improvements., • Define, calculate, and maintain standardized KPIs and business metrics across the organization., • Present analytical findings and recommendations to business stakeholders and executive leadership. Data Engineering & Data Integration • Develop and maintain SQL-based data transformation logic, views, and stored procedures within Snowflake., • Support the design, testing, and maintenance of ETL/ELT data pipelines from source systems such as PostgreSQL, SQL Server, Salesforce, APIs, and Amazon S3., • Validate data ingestion processes to ensure completeness, consistency, and accuracy across enterprise data platforms., • Troubleshoot data pipeline issues, perform root cause analysis, and work with Data Engineers to resolve production incidents., • Assist in optimizing SQL queries, data models, and reporting structures for scalability and performance., • Participate in deploying data enhancements through Development, QA, Stage, and Production environments while following SDLC and change management processes., • Contribute to data modeling initiatives, including dimensional models and curated reporting datasets. Data Quality & Governance • Monitor and improve enterprise data quality by identifying anomalies, inconsistencies, and reconciliation issues., • Develop data validation processes and reconciliation reports between source systems and Snowflake., • Maintain business definitions, data dictionaries, metadata, and documentation for enterprise reporting assets., • Collaborate with business and engineering teams to define data standards, governance policies, and reporting consistency. AI & Advanced Analytics • Support the development and maintenance of semantic models used by Snowflake AI and enterprise data agents., • Validate AI-generated responses and improve metadata, synonyms, and business definitions to enhance accuracy., • Assist in evaluating emerging AI capabilities that improve analytics, reporting, and business decision-making. Collaboration & Continuous Improvement • Work closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver enterprise data solutions., • Participate in requirements gathering, solution design, testing, and user acceptance activities., • Identify opportunities to automate manual reporting processes and improve operational efficiency., • Promote best practices in analytics, data engineering, documentation, and data governance. Preferred Qualifications • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field., • 4–7 years of experience in data analytics, business intelligence, or analytics engineering., • Advanced SQL with experience writing complex queries, views, stored procedures, and performance tuning., • Experience with Snowflake or another cloud data warehouse., • Experience with Tableau or a comparable BI platform., • Working knowledge of ETL/ELT concepts and modern data architectures., • Familiarity with AWS services such as S3, Glue, or Lambda is preferred., • Experience working with APIs and semi-structured data (JSON, XML, Parquet)., • Basic Python scripting for data analysis or automation is a plus., • Experience with Git, SDLC processes, and Agile methodologies., • Excellent analytical, problem-solving, communication, and stakeholder management skills. This job description reflects someone who can not only build dashboards but also understand how data is ingested, transformed, governed, and consumed—making them an effective bridge between business users and your data engineering team while supporting your Snowflake-based data platform.

Job Title: GoLang Backend Developer Location: Jersey City, NJ Duration: 6+ Months Contract NOTE : ONLY VISA INDEPENDENT FOR W2 Job Summary: Sr Engineer – hands on Developer. Looking for GoLang. All Go environment. Hosting on Kubernetes, need some exposure. Need good hands-on coding. Kubernetes preferred. Cloud foundation services. Go Lang – SRE platform building services for public cloud. All API dev, no UI / web dev. Need DevOps / Development background. Candidates have fell short previously due to lack of hands-on coding experience. More admin / SRE experience. Must have: • GO hands on coding, • API development in GoLang. Multithreading concepts, • DevOps / SRE environment experience – CI/CD, Jenkins, IAM, • Kubernetes – some knowledge Nice to have: AWS – EKS, Terraform, Python • Expert in in Amazon Web Services and Microsoft Azure technology and design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs (e.g., Expert Engineers) starting to be firm-wide resources working on projects across JPMC, • Is multi-skilled with expertise across software development lifecycle and toolset, • May be recognized as a leader in Agile and cultivating teams working in Agile frameworks, • Sought out as coach for at least one technical skill, • Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test, • Driven Development, Cloud Development, resiliency, security Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business; may give speeches and outside the firm, writes articles Regards, Syed Mazhar Syed.Mazhar@Now100.com

AI Cloud Engineer About the Role • Position: AI Cloud Engineer, • Location: Hybrid in Newark, NJ, • Type: Right to Hire (RTH), • Experience: 3-5 years, • Pay: $55-$65 per hour on W2, depending on experience (No C2C), • Build and deploy enterprise-scale agentic AI solutions supporting business workflows, decision support, operational intelligence, and customer engagement, • Hands-on engineering role delivering production-grade AI agents using AWS Bedrock, Amazon Bedrock AgentCore, and governed cloud-native architectures, • Partner with architects, data teams, product owners, and Responsible AI stakeholders Key Responsibilities • Develop cloud-native microservices, APIs, and event-driven components using Python, JavaScript/TypeScript, FastAPI, AWS Lambda, and EventBridge, • Build and deploy enterprise AI agents using Amazon Bedrock AgentCore, Bedrock models, AgentCore Gateway, and agent-to-agent communication, • Implement data ingestion, embeddings, vector search, semantic retrieval, knowledge graph, and memory pipelines, • Develop intent classification, tool routing, workflow orchestration, guardrails, and human-in-the-loop escalation patterns, • Integrate agents with enterprise systems such as Salesforce, Genesys, Denodo, APIs, MCP tools, and event streams, • Build evaluation, monitoring, and tracing for agents, including quality metrics, hallucination and safety checks, latency, and cost, • Uphold enterprise standards for security, IAM, data protection, auditability, Responsible AI, and production reliability, • Lead implementation of specific agent workstreams and mentor associate and mid-level engineers Required Qualifications • 3-5 years of software engineering experience delivering cloud-native applications or AI/ML-enabled platforms, • Strong proficiency in Python and JavaScript/TypeScript, including API development, async processing, test automation, and production debugging, • Experience with microservices, APIs, event-driven workflows, and secure enterprise integrations, • Hands-on AWS experience: serverless, containers, messaging/eventing, IAM, observability, and cloud-native deployment, • Recent experience building enterprise GenAI or agentic AI solutions, including agents, agentic RAG, and multi-step orchestration, • Experience with Amazon Bedrock, Amazon Bedrock AgentCore, or comparable LLM and agent runtime platforms, • Experience with LangGraph, LangChain, Strands, MCP, A2A protocols, or comparable multi-agent frameworks, • Experience with model evaluation, prompt engineering, agent quality testing, and LLM-as-judge patterns, • Experience with vector databases, embeddings, semantic search, knowledge bases, and memory stores, • Experience implementing AI guardrails, safety controls, access controls, audit logging, and human escalation paths, • Strong understanding of application security, data governance, scalability, and production operations Preferred Qualifications • Experience with AWS EventBridge, MSK, SNS/SQS, Step Functions, API Gateway, and container services, • Experience delivering AI or data products in financial services, insurance, or other regulated environments, • Familiarity with enterprise data products, semantic layers, Denodo, knowledge graphs, and Neptune/OpenSearch, • Experience integrating agents with CRM, service, telephony, or workflow platforms such as Salesforce or Genesys Ideal Candidate • Strong software engineer with recent enterprise GenAI and agentic AI experience, • Enjoys turning ambiguous business use cases into reliable, governed, production-ready agents, • Comfortable working across cloud architecture, data integration, AI orchestration, and production operations

Job Description We are PMG PMG, a global independent platform company engineered for impact, integrates business strategy, media, creative, and data within a single operating model powered by our proprietary operating system, Alli. With more than 1,000 employees, PMG partners with brands including Apple, Nike, Dropbox, Experian, Sephora, and Whole Foods. Our work has earned top industry honors, including Cannes Lions and Adweek's Media Plan of the Year, and PMG has won 40+ workplace culture awards, including being the only company to rank among Ad Age's Best Places to Work for 11 consecutive years. Who You Will Be Working With At PMG, you'll lead alongside strategists, channel experts, analysts, and creatives who believe great results start with great partnerships. You'll guide cross-channel planning and connect the dots between audience, creative, and measurement—always with a supportive team ready to test, learn, and build on what works. You'll partner closely with client stakeholders and PMG leaders, shaping roadmaps, sharing insights, and helping teams operate with clarity and confidence. You'll also mentor teammates, create space for new ideas, and champion thoughtful process improvements that raise the bar for everyone. If you're excited to lead with empathy, collaborate deeply, and drive meaningful growth through connected retail media, you'll thrive here. As a Commerce Retail Media Lead, if you're excited about building strong client relationships, collaborating across teams, and helping brands achieve meaningful growth through smart, connected media, this is the place to do your best work. What You Will Be Doing: • Lead end-to-end retail media strategy across multiple accounts, translating business objectives into full-funnel media plans that drive measurable outcomes (e.g., revenue growth, ROAS efficiency, new-to-brand acquisition)., • Direct execution of high-budget search and display programs across retail platforms, ensuring precise pacing, advanced audience targeting, and seamless creative deployment to maximize performance and minimize waste., • Coach and guide junior team members on campaign architecture, QA rigor, and forecasting methodologies; elevate team output quality and build scalable best practices across accounts., • Own senior client relationships by leading strategic media discussions and delivering clear, insight-driven performance narratives that influence investment decisions and long-term growth planning., • Collaborate with platform representatives to identify, test, and scale beta opportunities and emerging ad formats; design structured experiments to validate impact and unlock competitive advantages., • Partner cross-functionally with Retail Operations to align media investments with inventory levels, pricing strategies, and PDP optimization—ensuring media efficiency and conversion readiness across the customer journey. What You Will Bring: • Proven experience leading the end-to-end development and execution of multi-channel retail media strategies, connecting upper- and lower-funnel tactics to drive measurable business outcomes (e.g., revenue growth, ROAS, new-to-brand acquisition)., • Hands-on ownership of campaign optimization across retail platforms, with a track record of refining audience targeting and bid strategies to improve efficiency and scale performance., • Demonstrated responsibility for budget planning and allocation across campaigns or accounts, including forecasting, pacing oversight, and reallocating investments based on performance insights., • Experience leveraging Amazon Marketing Cloud (AMC) or similar advanced analytics tools to uncover insights (e.g., path-to-conversion, audience behavior) and translate them into actionable media strategies., • History of working cross-functionally with internal teams (analytics, creative, retail operations) and external partners, ensuring alignment between media strategy and broader business goals., • Exposure to beta programs, new ad formats, or platform innovations, with experience testing, evaluating performance, and scaling successful initiatives into ongoing campaign strategy. What We Offer Performance-Based Rewards: Your impact should be part of your reward. This role is eligible for PMG's annual bonus program—a standout part of our total compensation offering and an opportunity to share in our success. Bonus awards are informed by individual impact and performance, as well as team and company results, and are subject to applicable program terms. Professional Development: Keep growing through learning and development programs, mentorship opportunities, and support for career advancement. Generous Time Off: Take the time you need to recharge, connect with loved ones, and enjoy life outside work. Parental Leave: Receive paid parental leave during life's important family moments. Retirement Benefits: Build for your future with competitive retirement benefits, including employer contributions or matching where applicable. Fertility and Family Support: Access fertility and family-building benefits for eligible employees and their spouses or partners. Healthcare: Choose from medical, dental, and vision coverage designed to support you and your family. Pet Insurance: Access optional coverage for the four-legged members of your family. Lifestyle Spending Account: Receive company-funded support for eligible health and well-being expenses. Commuter Benefits: Access support for your commute where available. Volunteering Opportunities: Receive eight paid hours each year to give back to your community. AI Tools and Training: Access enterprise AI tools and ongoing training that helps PMGers use AI effectively, creatively, and responsibly. Our benefits and compensation programs may vary by location and eligibility and are subject to applicable plan terms. We'll share full details during the hiring process. What Sets Us Apart Being part of PMG means joining a company culture that's unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers. GEICO is looking for an accomplished, customer-obsessed, and results-oriented Senior Product Manager specializing in Interactive Voice Response (IVR) and Conversational AI solutions. This role will continuously monitor evolution in the insurance industry, innovation in voice technology, competitor implementations, market trends, and consumer preferences to drive a cutting-edge voice experience portfolio. As a Senior Product Manager, you will play a key role in shaping the evolution of GEICO's voice-first customer experience strategy. You will be responsible for leading the product strategy for our IVR platform, driving the development and execution of conversational AI roadmaps, and ensuring our solutions meet customer needs while driving business outcomes. You will collaborate closely with cross-functional teams, including engineering, design, operations, and business leaders to deliver high-impact voice experiences that drive self-service adoption and customer satisfaction. You must be comfortable influencing at all levels of the organization. • Define and articulate the IVR and conversational AI product vision, strategy, and roadmap in alignment with business goals and market opportunities, • Lead cross-functional teams through the entire product lifecycle, from concept to launch and beyond, with a focus on voice experience design and conversational AI implementation, • Conduct market research, competitive analysis, and customer interviews to gather insights and inform voice experience decisions, • Drive the design and implementation of intuitive voice flows that maximize self-service containment while maintaining high customer satisfaction, • Prioritize features and initiatives based on customer feedback, business impact, and technical feasibility, making trade-off decisions to optimize self-service rates and customer experience, • Collaborate with stakeholders across the organization to ensure alignment on voice strategy and drive consensus on key decisions, • Continuously monitor IVR performance metrics, analyze containment rates, and iterate on conversation flows to optimize user experience and business outcomes, • Partner with Technology leaders to influence voice platform architecture and drive secure, resilient, and scalable conversational AI solutions, • Oversee the implementation of comprehensive IVR analytics to provide visibility into customer journeys and enable data-driven improvements, • Drive the integration of advanced technologies such as natural language processing, voice biometrics, and AI-powered intent recognition, • Bachelor's degree required, • 5+ years of experience in product management, with a track record of delivering successful voice and conversational AI products in a fast-paced environment, • Deep understanding of IVR systems, conversational AI platforms, and voice user interface design principles, • Experience with cloud-based contact center platforms, • Strong understanding of contact center operations, key metrics, and the role of self-service in the customer journey, • Proven track record of improving self-service containment rates and customer satisfaction through voice channel optimization, • Experience working with speech recognition, natural language processing, GenAI, and other conversational AI technologies, • Strong leadership skills with the ability to influence and inspire cross-functional teams, • Excellent communication and presentation skills, with the ability to effectively articulate complex voice experience concepts to both technical and non-technical audiences, • Proven analytical and problem-solving abilities, with a data-driven approach to decision-making, • Experience working with Agile methodologies and tools such as JIRA or Azure DevOps, • Advanced degree in Computer Science, Human-Computer Interaction, Business, or related field, • Direct experience working with Amazon Connect and its ecosystem, including Amazon Lex, Contact Lens, and Voice ID, • Experience with voice biometrics and authentication technologies, • Experience with advanced analytics and A/B testing methodologies for voice experiences, • Background in user research and usability testing for voice interfaces The ideal candidate will be passionate about voice experiences, with a strong focus on both operational efficiency and customer satisfaction through innovative conversational AI solutions. Annual Salary: $140,425.00 - $229,600.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: Protecting customers through life's twists and turns with innovation and integrity. Great Careers: Personalized development programs, mentorship, and certification assistance. Great Culture: Inclusive and collaborative culture rooted in shared success. Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Are you energized to drive adoption of GenAI capabilities that underpin agentic workflows with AWS customers and evolution of these technologies with AWS Product leadership? AWS is seeking a Go-To-Market (GTM) Specialist to define, build and lead the GTM efforts to scale world-wide adoption of AI Inference through Amazon SageMaker AI. In this role, you will be responsible for defining, building and executing GTM initiatives to accelerate worldwide adoption of Amazon SageMaker AI at customers looking to build, customize, deploy and operationalize GenAI and ML workloads with specific focus on GenAI Inference. You will bring to bear your unique blend of strong technical background in clustered computing frameworks/distributed systems and business acumen and experience to define and execute go-to-market initiatives for Amazon SageMaker AI. You will be working hand-in-hand with AWS GenAI Solution Architects, Product Managers, Marketing Managers and Geo-aligned field teams to run world-wide sales motions to drive adoption and growth of GenAI Inference that underpins agentic workflows with AWS customers across multiple industry segments worldwide, including large enterprises, ISVs, Digital natives and Startups with optimal price performance. You will define sales motions including customer segmentation and qualification, positioning of quantitative and qualitative differentiators, and mechanisms and campaigns to accelerate sales cycles. You will execute on these sales motions using direct customer engagements and through Geo Data & AI specialists, to prospect and develop pipeline, launch new opportunities and drive usage and revenue of SageMaker AI for GenAI and ML worldwide. As the SME on AI Inference, you will help customers understand different types of AI Inference workloads (mapped to AI agentic as well as machine learning use cases), emerging open source technologies as well as native product capabilities for optimizing cost/performance at scale, model cost/TCO and savings from various Inference optimization techniques. You will articulate ease of use of AI Inference in SageMaker with help of product demos, discuss service roadmap, and handle objections from both internal AWS teams and external AWS customers. You will help secure customer quotes, nurture public references and help Marketing team build them into case studies. You will synthesize insights gained from these outbound engagements to help prioritize service roadmap and influence service evolution for AI Inference. A day in the life As the owner of key part of the SageMaker AI business worldwide, you will switch between multiple activities and drive multiple deliverables on any given day: You will be leveraging propensity lists of prospect customers and working with field teams to help secure audience with customer stakeholders to drive sales motions related to AI Inference. You will drive initial calls with customers (typically VP/Dir of ML/AI Platforms) in a consultative way to listen to the voice of customer, walk them through the qualitative and quantitative differentiators of our offering through live demos, case studies, help customers understand pricing and savings packages, get feedback on customer's current use of SageMaker AI and secure workshops/ PoVs/ PoCs for evaluation. You will solicit and help current customers commit to a public quote or reference, or co-present in a webinar or at an upcoming AWS event. You will develop and update sales motion assets on a regular basis. You will conduct enablement sessions with field teams to teach them how to execute on the sales motions. You will conduct customer facing webinars to drive awareness of SageMaker Inference. You will collect and pass on product feedback (backed by customer evidence) to service team, and will participate in roadmap prioritization sessions to help influence product roadmap for AI Inference. You will document customer and market insights to share with rest of the team and with leadership. About the team We are a team of Generative AI Go-to-Market specialists with a unique blend of technical/specialist sales, product management, and technical business development backgrounds, driving global adoption and expansion of Amazon SageMaker AI as a flagship AWS managed GenAI Service. • 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience- Experience selling enterprise software or cloud-based applications- Experience explaining complex technical concepts to various business and technical audiences- Experience presenting to both technical and non-technical executive audiences, • 5+ years of highly technical pre-sales roles at B2B companies (Enterprises, Startups, System Integration Services Companies, preferably in ML and/or AI). SME in cluster-based computing frameworks such as Kubernetes and Ray.- Experience building sales plays and playbooks, prospecting for, advancing and closing technical sales pipeline to drive adoption of products and services in ML or AI focused on model Inference. Experience teaching account teams how to sell technical products and services- Experience structuring and running benchmark initiatives, documenting optimization strategies, building TCO/pricing models and demonstrating cost/performance differentiation to customers.- Experience advocating on customers behalf by understanding their pain points, helping customers navigate through cost/performance/quality trade-offs in cluster-based computing systems at scale, and conveying insights back to product teams.- Experience managing multiple initiatives and campaigns simultaneously (customer engagements, sales motions, webinars, sales asset development, etc.) working across multiple functional teams (Product, Marketing, Solution Architects, Account teams).- Experience managing, tracking, and communicating customer and market insights and objective business metrics and risks.

Presidio is seeking a highly motivated Multi-Cloud Operations Senior Engineer to join our growing Managed Services team supporting customer environments across Amazon Web Services (AWS) and Microsoft Azure, with future expansion into Google Cloud Platform (GCP). Learn new cloud services rapidly as A

Position Summary \n The Senior Data Analyst will serve as the bridge between business stakeholders and the Enterprise Data team. This individual will transform data into actionable insights, define business metrics, ensure data quality, and help expand company's AI-ready data platform. They will work closely with Finance, Sales, Operations, Product, Customer Success, and Engineering to deliver trusted analytics, semantic models, dashboards, and data products. \n \n Key Responsibilities \n Business Intelligence & Analytics \n\n • Develop and maintain executive dashboards, reports, and scorecards using Tableau and Snowflake.\n, • Partner with Finance, Sales, Operations, Product, and Customer Success to translate business requirements into analytical solutions.\n, • Perform ad hoc analysis to identify trends, business opportunities, and operational improvements.\n, • Define, calculate, and maintain standardized KPIs and business metrics across the organization.\n, • Present analytical findings and recommendations to business stakeholders and executive leadership.\n\n Data Engineering & Data Integration \n\n • Develop and maintain SQL-based data transformation logic, views, and stored procedures within Snowflake.\n, • Support the design, testing, and maintenance of ETL/ELT data pipelines from source systems such as PostgreSQL, SQL Server, Salesforce, APIs, and Amazon S3.\n, • Validate data ingestion processes to ensure completeness, consistency, and accuracy across enterprise data platforms.\n, • Troubleshoot data pipeline issues, perform root cause analysis, and work with Data Engineers to resolve production incidents.\n, • Assist in optimizing SQL queries, data models, and reporting structures for scalability and performance.\n, • Participate in deploying data enhancements through Development, QA, Stage, and Production environments while following SDLC and change management processes.\n, • Contribute to data modeling initiatives, including dimensional models and curated reporting datasets.\n\n Data Quality & Governance \n\n • Monitor and improve enterprise data quality by identifying anomalies, inconsistencies, and reconciliation issues.\n, • Develop data validation processes and reconciliation reports between source systems and Snowflake.\n, • Maintain business definitions, data dictionaries, metadata, and documentation for enterprise reporting assets.\n, • Collaborate with business and engineering teams to define data standards, governance policies, and reporting consistency.\n\n AI & Advanced Analytics \n\n • Support the development and maintenance of semantic models used by Snowflake AI and enterprise data agents.\n, • Validate AI-generated responses and improve metadata, synonyms, and business definitions to enhance accuracy.\n, • Assist in evaluating emerging AI capabilities that improve analytics, reporting, and business decision-making.\n\n Collaboration & Continuous Improvement \n\n • Work closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver enterprise data solutions.\n, • Participate in requirements gathering, solution design, testing, and user acceptance activities.\n, • Identify opportunities to automate manual reporting processes and improve operational efficiency.\n, • Promote best practices in analytics, data engineering, documentation, and data governance.\n\n Preferred Qualifications \n\n • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field.\n, • 4–7 years of experience in data analytics, business intelligence, or analytics engineering.\n, • Advanced SQL with experience writing complex queries, views, stored procedures, and performance tuning.\n, • Experience with Snowflake or another cloud data warehouse.\n, • Experience with Tableau or a comparable BI platform.\n, • Working knowledge of ETL/ELT concepts and modern data architectures.\n, • Familiarity with AWS services such as S3, Glue, or Lambda is preferred.\n, • Experience working with APIs and semi-structured data (JSON, XML, Parquet).\n, • Basic Python scripting for data analysis or automation is a plus.\n, • Experience with Git, SDLC processes, and Agile methodologies.\n, • Excellent analytical, problem-solving, communication, and stakeholder management skills.\n\n This job description reflects someone who can not only build dashboards but also understand how data is ingested, transformed, governed, and consumed—making them an effective bridge between business users and your data engineering team while supporting your Snowflake-based data platform.

Would you like to own driving customer engagements and outcomes in Cloud Computing? Would you like to be part of a team focused on increasing awareness and adoption of Amazon Web Services by engaging with Financial Services organizations who are reinventing their missions by adopting cloud computing? Do you have the business savvy, sales experience, and the technical background necessary to help further establish Amazon as a leading cloud platform provider? As an account executive within Amazon Web Services (AWS), focusing on the Federal Financials Business within the US Worldwide Public Sector Market, you will have the exciting opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon's broad portfolio of cloud services (compute, storage, database, analytics, machine learning, and generative AI). Your broad responsibilities will include developing and managing a growing book of business for federal financial organizations. You will drive business and technical relationships and close business at a rapid rate by helping to define and identify key opportunities, markets, contract vehicles and solutions. You will establish deep business and technical relationships through your knowledge of the customer's mission and the environment. You will have day-to-day interactions with the CXO level customers in the top strategic customer accounts. You will help your customers use AWS services to enable business transformation across their organization, as well as the broader financial services industries that they engage with and/or regulate. The ideal candidate will possess both a business background that enables them to drive an engagement and interact at the executive level, as well as a technical background that enables them to easily interact with software developers, architects, and business line leaders at a high level. You should also have a demonstrated ability to think strategically about the mission, product, and technical challenges, with the ability to build and convey compelling value propositions. This position requires that the candidate selected be a US Citizen. • Serve as a key member of the Federal Financial Sales Team in helping to drive overall AWS market and technical strategy, • Contribute to strategies, program development, investments, channel development and other important efforts to make AWS the best fit for our customers' needs., • Identify, engage WWPS Federal Financials accounts, using a solution selling approach., • Maintain an accurate and robust pipeline and commit to a forecast of specific business opportunities within a time period., • Perform the full range of sales activities from demand generation campaigns to pipeline management by engaging with customers, AWS internal resources (Professional Services, Solution architects, AWS service teams, etc.), and AWS partners., • Bring a working understanding of modern cloud architecture - security, data, AI/ML, and compliance frameworks (FedRAMP, FISMA) - to help regulatory customers adopt cloud with confidence., • Understand and exploit the use of Salesforce.com and other internal Amazon systems., • Be a thought leader and an executive relationship builder., • Set a strategic sales plan for your target markets and ensure it's in line with the AWS strategic direction., • Identify specific prospects/partners/channels to approach while communicating the specific value proposition for their business and use case., • Work closely with the customer to ensure they are successful using our web services, making sure they have the technical resources required, and documenting wins in use cases and case studies., • Understand the technical requirements of our customers and work closely with the internal development team to guide the direction of our product offerings for developers., • Prepare and give business reviews to the senior management team regarding progress and roadblocks to closing new customers., • Manage complex contract negotiations and liaison with the legal group, while handling a high volume of engagements and the fast pace of the cloud computing market. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain., • Understanding of MLOps workflows and model deployment pipelines. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, 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 Description Role Summary: We are seeking a highly skilled Technical Lead to drive the design, development, and optimization of AWS-based contact center and backend solutions. This role will focus on Amazon Connect and related AWS services, serving as a hands-on leader responsible for architecture, integrations, and technical excellence across customer engagement platforms. Key Responsibilities: Architecture & Design • Define and own the technical roadmap for Amazon Connect and related systems., • Architect scalable, secure, and resilient cloud-based contact center solutions., • Lead modernization and migration from legacy telephony platforms to Amazon Connect., • Oversee and guide a scrum team of developers through project delivery. Development & Integration • Design and build IVR/contact flows, Lex bots, routing logic, and voice/chat automation., • Integrate Amazon Connect with Salesforce, ServiceNow, and other enterprise systems., • Develop event-driven applications using AWS Lambda, API Gateway, DynamoDB, EventBridge, and Kinesis., • Implement AI-powered automation using Amazon Bedrock, OpenAI, or LangChain., • Train and mentor engineers transitioning into Amazon Connect development. Operations & Support • Oversee production stability, incident response, and performance tuning., • Conduct root-cause analysis and maintain observability via dashboards and SLIs/SLOs., • Ensure system reliability and compliance with security and IAM standards. Leadership & Collaboration • Lead and mentor cross-functional teams across development, data, and infrastructure., • Partner with network/security teams to uphold QoS and compliance requirements., • Provide tools and dashboards for business and operations reporting. Required Skills & Qualifications: • 10+ years of experience in telephony, contact center, or AWS backend development., • 3+ years hands-on experience with Amazon Connect (preferred)., • Strong AWS expertise: Lambda (Node.js/Python), API Gateway, DynamoDB, S3, CloudWatch, and IAM., • Experience integrating Salesforce Service Cloud Voice or similar CRM systems., • Familiarity with SIP, RTP, PSTN, QoS, and packet loss mitigation., • Strong understanding of REST/GraphQL APIs, JWT, OAuth, and SAML., • Proficiency with Terraform, CloudFormation, Git, and CI/CD tools., • Excellent communication, leadership, and stakeholder management skills. Preferred Certifications: • AWS Certified Solutions Architect or Developer, • Salesforce Service Cloud or Omni-Channel Certification

Job DescriptionCompany Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and operational business processes. You will use Java and Spring Boot to develop scalable backend services, React with TypeScript to create responsive user experiences, and Node.js where appropriate for supporting components. The role suits a hands-on engineer with strong software development fundamentals who can take features from detailed technical design through implementation, testing, deployment, and production support. Experience with Workforce Management (WFM), Customer Experience (CX), or contact center solutions is an advantage Responsibilities: • Design, develop, test, and maintain scalable backend services using Java, Spring Boot, and established software engineering practices., • Build modern web applications using React, TypeScript, reusable components, responsive layouts, and accessible interaction patterns., • Develop and consume REST APIs using an API-first approach; maintain clear OpenAPI/Swagger contracts and error handling., • Contribute to the design of modular, maintainable solutions using microservices and appropriate object-oriented and event-driven design patterns., • Use Node.js where appropriate for lightweight services, backend-for-frontend components, integrations, or development tooling., • Contribute to the design and optimization of PostgreSQL data models and queries with attention to integrity, performance, and audit history., • Implement and support reliable integrations with internal and external systems using REST APIs, webhooks, messaging, and other appropriate integration patterns., • Containerize applications and contribute to cloud-based deployment patterns, configuration management, and environment consistency., • Build and maintain Jenkins-based CI/CD pipelines with automated testing, quality gates, and repeatable deployments., • Instrument applications with structured logging, metrics, tracing, and actionable error reporting., • Troubleshoot functional and production issues and improve application performance, resilience, scalability, and maintainability., • Collaborate with Product, UX, QA, DevOps, Architecture, and other engineers through design sessions, code reviews, planning, and continuous improvement.Qualifications, • 5+ years of full-stack software development experience, including contribution to production applications., • Hands-on experience with Java and Spring technologies, particularly Spring Boot, REST services, persistence, security, and automated testing., • Frontend development experience with Angular or React, TypeScript, HTML, CSS, component-based design, state management, and modern testing practices., • Familiarity with Node.js for lightweight services, integrations, build tooling, or supporting components., • Experience developing REST APIs, microservices, and maintainable applications in distributed environments., • Strong SQL skills and experience designing efficient data models in PostgreSQL or comparable relational databases., • Experience developing, deploying, or supporting cloud-based and containerized applications., • Excellent communication skills, including the ability to produce clear technical documentation and participate in client-facing workshops., • Knowledge of OAuth2, OpenID Connect, JWT, and secure API design., • Experience with Kafka, RabbitMQ, or comparable messaging and event-streaming technologies., • Familiarity with Kubernetes, cloud platforms, observability tooling, and secure software delivery practices. Nice to have: • Experience with Workforce Management (WFM), Customer Experience (CX), contact center, or customer service solutions., • Experience with AWS, Amazon Connect, FreeSWITCH, Kamailio, Twilio, or similar communication technologies., • Knowledge of workforce optimization and contact center operations, including forecasting, scheduling, routing, and adherence., • Experience integrating enterprise applications with CRM, HR, identity, payroll, and analytics platforms., • Familiarity with AI-assisted development tools such as GitHub Copilot or Claude. Additional Information We offer: • Culture of relentless performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth., • Competitive pay and benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program., • ForeverRemote work culture: make the most of the flexibility that comes with remote work., • Growth mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities., • Global impact: collaborate on impactful projects for top global clients and shape the future of industries., • Welcoming multicultural environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events., • Social sustainability values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality., • Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

Job Description Title: AWS Data Engineer Open Data Platform Location: New York, NY Work Arrangement: Remote Ok, preferred NY Locals Duration: 6-Month Contract Experience Range: 8-10 years Our client is seeking an experienced AWS Data Engineer to design and build cloud-native data pipelines on an open data platform, architecting Apache Iceberg tables and optimizing large-scale data processing across AWS and Snowflake environments. Responsibilities & Qualifications • Design and develop end-to-end data ingestion, transformation, and processing pipelines using AWS Glue, Apache Spark, and Amazon S3, • Build and manage Apache Iceberg tables to enable open, interoperable access across multiple compute engines, • Configure and integrate Apache Polaris with Iceberg REST Catalog for AWS and Snowflake environments, • Implement table maintenance, schema evolution, and partitioning strategies to optimize performance and cost, • Support platform security, access controls, and AWS networking infrastructure, • Conduct workload benchmarking and performance analysis comparing AWS Glue versus Snowflake for cost and efficiency, • Provide operational monitoring, troubleshooting, and optimization of cloud-based data platform infrastructure Requirements, • 8 10 years of experience in data engineering and cloud-based data pipeline development, • Proven expertise with Amazon S3, AWS Glue, Apache Spark, and large-scale data processing, • Strong hands-on experience with Apache Iceberg architecture, including table design and maintenance, • Demonstrated proficiency with Apache Iceberg schema evolution and partitioning optimization, • Experience configuring and deploying Apache Polaris and Iceberg REST Catalog, • Solid understanding of AWS IAM, networking, and security best practices in cloud environments, • Experience with performance tuning, cost optimization, and cross-platform data tool evaluation

Job DescriptionJava Developer – Financial Services / Cloud-Native Applications Locations: New York City, New York / Salt Lake City, Utah Work Arrangement: Onsite Employment Type: Full-Time The Java Developer will design, develop, and support cloud-native applications across strategic financial services business workstreams. The role requires strong hands-on development expertise in Java, Spring Boot, microservices architecture, and cloud platforms such as Google Cloud Platform (GCP), AWS, or Microsoft Azure. The successful candidate will build scalable, high-performance enterprise applications, develop microservices, implement APIs, work with event-driven architectures, and support distributed systems. Candidates must have mandatory financial services experience and demonstrate practical coding and application development capabilities. Key Responsibilities 1. Java Application Development • Design, develop, test, and maintain enterprise-scale applications using Java., • Work with Java 8, Java 11, and Java 17., • Develop and enhance applications using Spring Boot., • Build scalable and maintainable microservices., • Use Python where required for application development and supporting solutions., • Write clean, efficient, reusable, and high-quality code., • Troubleshoot and resolve application-level issues. 1. Microservices & API Development • Design and develop microservices-based applications., • Build and maintain REST APIs and other application interfaces., • Apply API design principles and best practices., • Implement event-driven architecture and distributed system solutions., • Develop messaging and event-based integrations using Kafka and Google Pub/Sub., • Ensure applications meet scalability, reliability, and performance requirements. 1. Cloud-Native Application Development • Design, develop, and deploy applications on GCP, AWS, or Azure., • Build cloud-native solutions supporting strategic financial services programs., • Support application modernization and cloud transformation initiatives., • Leverage cloud services to develop scalable and resilient applications., • Work with BigQuery and cloud-based data solutions where applicable. 1. Database & Data Engineering • Develop and maintain database-driven applications., • Work with PostgreSQL and/or Azure SQL., • Build data-intensive application components., • Support data integration and processing using BigQuery where applicable., • Optimize database queries and application performance. 1. DevOps, CI/CD & Containerization • Implement and maintain CI/CD pipelines using GitHub Actions., • Containerize applications using Docker., • Deploy and manage applications using Kubernetes., • Support automated build, testing, deployment, and release processes., • Collaborate with DevOps and cloud engineering teams. 1. Financial Services Collaboration • Collaborate with business, product, and engineering stakeholders., • Develop technology solutions aligned with financial services business requirements., • Participate in Agile/Scrum development activities., • Support enterprise application development across commercial banking programs., • Ensure technical solutions meet business, performance, and reliability expectations. Required Qualifications • Bachelor's degree or equivalent relevant education, as applicable., • 4–7 years of relevant software development experience., • Minimum 3+ years of hands-on experience in the required technical stack for the applicable role level., • Strong hands-on Java development experience, preferably Java 8/11/17., • Experience with Python., • Strong Spring Boot and microservices development experience., • Experience with at least one major cloud platform:, • Google Cloud Platform (GCP), • Amazon Web Services (AWS), • Microsoft Azure, • Experience with Docker., • Experience with GitHub Actions and CI/CD pipelines., • Experience with Kubernetes., • Experience with PostgreSQL and/or Azure SQL., • Strong understanding of API design., • Experience with event-driven architecture and distributed systems., • Mandatory financial services experience., • Demonstrated hands-on coding and application development experience. Preferred Qualifications • Experience supporting cloud migration and modernization programs., • Experience developing event-driven applications using Kafka and/or Pub/Sub., • Experience with BigQuery., • Agile/Scrum delivery experience., • Experience developing enterprise applications in commercial banking or other financial services environments., • Experience working with cross-functional engineering and product teams.

Job DescriptionMarketing & Publicity Manager Location: Beverly, MA or New York, NY (Hybrid) | Remote candidates considered Quarto is seeking a creative, collaborative, and results-driven Marketing & Publicity Manager to help bring exceptional nonfiction books to readers around the world. This role will lead integrated marketing and publicity campaigns for approximately 40-50 titles annually, with a focus on art, craft, and design publishing. Working closely with authors, media, agents, booksellers, and internal teams, you'll create innovative campaigns that drive sales, build awareness, and connect books with their audiences. What You'll Do • Develop and execute marketing and publicity campaigns for art, craft, and design titles across Quarto imprints., • Pitch books to media outlets, podcasts, broadcast producers, influencers, and reviewers., • Build relationships with authors, agents, media contacts, and industry partners., • Write press materials, create media kits, and secure meaningful coverage., • Lead social media and digital marketing strategies, including paid and organic campaigns., • Develop Amazon A+ Content and other promotional assets., • Support academic marketing initiatives and enthusiast communities within key categories., • Collaborate across Editorial, Publishing, Sales, and Marketing teams to maximize title success.What We're Looking For, • 3+ years of marketing and publicity experience, preferably in publishing., • Strong knowledge of the art, craft, and design marketplace., • Excellent communication and relationship-building skills., • Creative thinker with a passion for books and storytelling., • Highly organized with the ability to manage multiple campaigns simultaneously., • Experience with social media marketing, media outreach, and author relations., • Familiarity with Adobe Creative Cloud, Canva, Cision, Edelweiss, and Microsoft Office is a plus.Why Quarto? Join a passionate and collaborative team that publishes inspiring books and creates impactful campaigns. This is an opportunity to work closely with talented authors, shape creative marketing strategies, and help connect readers with books they'll love. QuartoUS is an equal opportunity employer; M/F/D/V are encouraged to apply. Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits & generous paid time off. All applicants should be authorized to work in the United States. Quarto does not provide sponsorships.

Job Description AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Senior Specialty Solutions Engineer-Network, will be focused on the core tenets of Network and Network Security related solutions for AHEAD prospects and customers including a broad range of technologies. As a member of our Specialty Solutions Engineering team, you will be considered an organizational thought leader for this marketplace. Pre-sales experience is a key component of this role. You will work in partnership with multiple sales representatives to help build a cohesive account strategy for each existing and prospective client. As part of this strategy, you will help sales representatives identify potential technologies and vendors to partner within a given account and assist in driving this strategy throughout a given campaign. Time management and prioritization are essential attributes to being successful. Your goal is to evolve into the technical thought leader for each of your clients. In this capacity, you will work to define strategy, compare alternative approaches, and build key relationships, as well as size and configure products. Positioning and leveraging subject matter experts and inside consultants is a necessity to scale your effectiveness within accounts. AHEAD is actively recruiting for this role and is looking for candidates who consider themselves as a “Next Generation Network Architect.” A core tenet and base requirement for this position is deep understanding of Campus wired and wireless technologies. Understanding and mastery of other areas like Datacenter and cloud networking technologies are a plus. Outside of this core tenet, our expectation is to attract, recruit and attain resources who have a desire to focus not only on traditional on-premise solutions, but also to be looking to career, technology and skill advancement by being actively willing to demonstrate skills and ability to learn new technologies including multiple SDN solutions, network security, load balancing, edge / acceleration, and cloud technologies. Experience or eagerness to learn about and with network and system / access design with Amazon AWS, Microsoft Azure or other cloud services is a key requirement. Roles & Responsibilities: • Participation, Leadership and Coordination of the AHEAD virtual team for Network Infrastructure, • You will also be responsible for working with the AHEAD partner management team and directly with selected vendors to maintain vendor technical and sales relationships, • As a Network Specialist you are a thought leader within the Engineering organization, responsible for designing, architecting, and, at times, consulting for Ahead clients, • Your goal as a Network Lead should be to build skills, relationships, and industry credibility across many segments to drive product, services and consulting sales, • Support the sales teams during engagements by providing advice and solutions or proposals optimized to meet customer technical and business requirements, • Develops relationships with the account managers, partners and customers in support of sales team objectives and engages and leverages team specialist resources as appropriate, • Strategizes and executes technical sales calls, • Completes required pre-sales documentation (configurations, pricing, services, presentations, justifications etc.) quickly and accurately, • Qualifies sales opportunities in terms of customer technical requirements, decision making process and funding, • Presents and markets the design and value of proposed Ahead solutions and business justification to customers, prospects and Ahead management, • Participates in mentorship of entry-level team members, • Possesses strong, detailed product / technology / industry knowledge. Knowledge of job associated software and applications Base Skills:, • Network Infrastructure Experience, • Strong wireless skills (certifications highly looked upon), • Wireless principles/site survey/Ekahau knowledge), • Strong Campus/LAN skills (Cisco and other OEM vendors), • Cisco certifications are highly recommended, • Cisco Nexus Technologies, • IP Routing Protocols, • Cisco Core Datacenter Technologies, • Network Management, • Network Security (Palo Alto/Fortinet) tenants along with SASE knowledgeOther Skills:, • VMware / VMware NSX, • Arista, • Automation skillset, • F5 / NetScaler, • Amazon AWS, Azure, Cloud connectivity and network fundamentals Education & Experience:, • Bachelor’s degree in computer science, Engineering, or equivalent, • Pre Sales and Data Center experience is required, • Professional communication, presentation, analytical, and problem-solving skills., • Experience working as a technical lead in a pre-sale’s sales campaign, • Ability to work under critical conditions and influence others to achieve results, • Strong interpersonal skills with excellent presentation skills, • Must be independent, self-motivated, a self-starter and possess a good working attitude, • Able to work well within a team and partner environment, • Customer focused and results driven This role is located on the east coast...preferably in the NY Metro area. The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits https://www.aheadbenefits.com/ for additional details. Use of AI: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com. You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSocial Media & Content ManagerAbout Beam Beam is a high-growth health and wellness brand built on the belief that better sleep, gut health, hormonal balance, and family wellbeing shouldn't be complicated. Our products are co-created with credible voices and backed by real science, and we sell across DTC, Amazon, TikTok Shop, and a growing retail footprint. We're looking for a Social Media & Content Manager to help grow Beam's organic social presence and build a community that genuinely loves the brand. This is a highly hands-on role for someone who is excited about social media, loves creating content, stays on top of trends, and wants to learn how a growing consumer brand builds its social presence. The ideal person is creative, organized, curious, and excited to move quickly in a growing brand environment. What You'll DoSocial Media & Content: • Support the day-to-day management of Beam's Instagram, TikTok, and other social channels., • Help manage Beam's social content calendar, including planning, scheduling, and publishing content., • Stay up to date on social trends, sounds, creators, formats, and internet culture and bring new ideas to the team., • Help develop and execute social-first content ideas, recurring series, and formats., • Create and edit short-form content for Instagram and TikTok, including UGC-style videos, still imagery, and other social-first formats., • Write engaging, on-brand social copy tailored to each platform., • Work closely with the Creative and Marketing teams to bring social content ideas to life., • Support social content around product launches, seasonal moments, campaigns, and other brand initiatives.Community & Collaboration:, • Help manage Beam's social community by responding to comments, engaging with customers, and participating in relevant conversations., • Identify opportunities to highlight customers, creators, and community members across Beam's social channels., • Collaborate with the Influencer team to keep creator and organic social content aligned., • Support social activations around launches, events, sampling, and other brand moments., • Work with creators, influencers, and other partners as needed to support social content.Performance & Growth:, • Track basic social media performance, including reach, engagement, audience growth, and content performance., • Help identify trends in performance and share learnings with the broader Marketing and Creative teams., • Use social insights to help inform future content ideas and improve performance., • Support testing of new content formats, concepts, and approaches across Beam's social channels.Who You Are, • 2–4 years of experience in social media, content creation, marketing, or a related role., • Strong understanding of Instagram and TikTok and a genuine interest in social media and internet culture., • Hands-on experience creating and editing short-form video content using tools such as CapCut, Photoshop, Adobe Creative Cloud, or similar platforms., • Strong writing skills and an understanding of how to create engaging, platform-native content., • Creative, with a strong eye for content and storytelling., • Highly organized with strong attention to detail and the ability to manage multiple projects and deadlines., • Comfortable working collaboratively with Creative, Marketing, Influencer, and other teams., • Curious, proactive, and excited to learn and grow., • Comfortable working in a fast-moving environment where priorities can shift quickly., • Willing to be hands-on and jump into whatever is needed to help the team succeed.Nice-to-Haves, • Experience working with a consumer, DTC, CPG, wellness, beauty, or lifestyle brand., • Experience working with influencers, UGC creators, or creator agencies., • Experience supporting events, pop-ups, sampling, or other community activations., • Familiarity with social media analytics and reporting., • Experience working with omnichannel brands across DTC, Amazon, TikTok Shop, or retail.Location & Benefits Boston, MA; New York, NY (2–3 days/week in-office) or Remote Beam offers: • Fully covered medical benefits + dependent contributions, • Unlimited PTO, • 401(k) with up to 4% match, • Wellness stipend, • Commuter benefits, • Investment in professional and personal developmentOur Values People First We take care of ourselves, our teammates and our customers equally. Constant Improvement Small daily improvements and a commitment to innovation and growth in our personal lives, as well as throughout the business. Transparent and Open Communication Say it straight or it comes out crooked — respectful and direct communication always. Ego is the Enemy Always stay humble, hungry, and curious. Think Like an Owner How are my actions or this moment going to affect the big picture? Risk Taking Make informed bets and emotionally move on from the ones that don’t work. Creativity and Rapid Iteration Think big, fail fast and inexpensively. Powered by JazzHR QB4iEXTffl

Job Description Job Description: Storage Administrator Position: Storage Administrator Job Summary We are seeking a skilled Storage Administrator responsible for designing, implementing, administering, and maintaining enterprise storage infrastructure. The role involves managing Storage Area Networks (SAN), Network Attached Storage (NAS), backup and recovery solutions, storage performance, capacity planning, and disaster recovery to ensure the availability, security, and integrity of organizational data. Key Responsibilities Install, configure, and maintain enterprise storage systems and infrastructure. Administer SAN, NAS, and direct-attached storage (DAS) environments. Provision, allocate, and manage storage volumes, LUNs, and file systems. Configure and maintain Fibre Channel (FC), iSCSI, and NVMe storage connectivity. Monitor storage performance, utilization, and capacity, and recommend improvements. Perform storage provisioning, expansion, migration, and data replication. Implement and manage backup, restore, replication, and disaster recovery solutions. Troubleshoot storage hardware, connectivity, and performance issues. Configure storage snapshots, cloning, deduplication, compression, and tiering technologies. Support virtualization platforms such as VMware vSphere, Microsoft Hyper-V, and cloud storage environments. Maintain storage security, encryption, access controls, and compliance standards. Coordinate firmware upgrades, patching, and lifecycle management for storage systems. Develop and maintain storage documentation, operational procedures, and capacity reports. Collaborate with infrastructure, server, database, and application teams to support business operations. Required Skills & Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Experience administering enterprise storage environments. Strong knowledge of: Storage Area Network (SAN) Network Attached Storage (NAS) Direct-Attached Storage (DAS) Fibre Channel (FC) iSCSI RAID technologies Storage replication and snapshots Experience with enterprise storage platforms such as: Dell EMC PowerStore, Unity, PowerMax, or Isilon NetApp ONTAP HPE Alletra, 3PAR, or Primera IBM FlashSystem Pure Storage FlashArray Experience with backup and recovery solutions such as: Veritas NetBackup Veeam Backup & Replication Commvault Dell EMC Networker Familiarity with VMware vSphere, Microsoft Hyper-V, and storage integration. Understanding of Linux and Windows server administration. Knowledge of storage monitoring and performance analysis tools. Preferred Skills Experience with cloud storage services on AWS, Microsoft Azure, or Google Cloud Platform (GCP). Knowledge of storage automation using PowerShell, Python, Bash, or Ansible. Familiarity with object storage technologies such as Amazon S3, Azure Blob Storage, or compatible platforms. Understanding of business continuity, disaster recovery, and high-availability architectures. Knowledge of ITIL processes and enterprise infrastructure management. Preferred Certifications Dell Technologies Proven Professional Storage NetApp Certified Data Administrator (NCDA) Pure Storage Certified Professional VMware Certified Professional (VCP) AWS Certified SysOps Administrator Associate Microsoft Certified: Azure Administrator Associate ITIL Foundation Soft Skills Strong analytical and troubleshooting skills. Excellent communication and documentation abilities. Ability to work independently and collaboratively with cross-functional teams. Strong organizational and time management skills. Ability to manage multiple priorities and support mission-critical environments. Experience Level 2 4 years: Storage Administrator 4 7 years: Senior Storage Administrator 7 years: Lead Storage Administrator

Job Description Overview The Systems Administrator manages and supports the organization's IT infrastructure, ensuring optimal performance, security, and compliance across multiple systems and environments. This role provides hands-on support for M365, Microsoft and Amazon Public Cloud, network security, endpoint management, and end-user technologies, while delivering high-quality support within defined SLAs. Candidates with prior experience in an MSP (Managed Service Provider) environment supporting multiple clients or systems concurrently are strongly preferred. Responsibilities • Provide advanced desktop and end-user support, resolving technical issues across hardware, software, and network systems, • Administer and maintain M365, Azure, Microsoft and Amazon Public Cloud, and Entra/Intune environments, • Manage and support firewall network infrastructure, including firewalls and connectivity, • Support endpoint devices, printers, and AV systems, • Administer ZTNA, EDR, and AV security solutions to protect endpoints and infrastructure, • Support vulnerability management processes and remediation efforts, • Monitor and respond to SOC (Security Operations Center) alerts and incidents, • Manage SFTP configurations and secure file transfer processes, • Administer Access Control systems for physical/logical security, • Utilize RMM tools to monitor, manage, and maintain systems across the environment, • Log, track, and resolve issues through the ticketing system within SLA timeframes, • Develop and maintain PowerShell scripts to automate routine tasks and improve efficiency, • Oversee security and compliance administration across IT systems, • Train end users in new technologies and best practices, • Document processes, incidents, and resolutions, • Collaborate with cross-functional teams to implement IT projects, • Monitor system performance and proactively address issues, • Ensure data integrity, backups, and disaster recovery readiness, • Maintain up-to-date knowledge of emerging IT trends and solutions #LI-AJ3 Qualifications Required Experience/Skills • 3-5 years of experience in Systems Administration, with exposure to supporting multiple, diverse systems and environments, • Prior experience working in an MSP (Managed Service Provider) environment strongly preferred, • Proficiency in desktop support and troubleshooting, • Hands-on experience administering M365, Azure, and Entra/Intune, • Experience with Fortinet network equipment and firewall management, • Familiarity with ZTNA, EDR/AV solutions, and vulnerability management practices, • Exposure to SOC operations and incident monitoring, • Working knowledge of SFTP and secure file transfer protocols, • Experience with RMM platforms and ticketing systems, • Proficiency in PowerShell and scripting for automation, • Strong background in security and compliance administration, • Experience providing IT support and training to end users, • Ability to meet and exceed SLA requirements, • Excellent verbal and written communication skills, • Strong documentation and organizational abilitiesPreferred Experience/Skills, • Advanced scripting/automation experience beyond PowerShell, • Exposure to enterprise-level security frameworks, • Familiarity with ITIL or similar service management methodologies, • Previous work in a multi-site, hybrid, or multi-client (MSP) environment, • Experience with AV/conferencing system support

Job Description Kubernetes Engineer Job Title Kubernetes Engineer Job Summary We are seeking a skilled Kubernetes Engineer to design, deploy, manage, and optimize Kubernetes-based container platforms for modern cloud-native applications. The ideal candidate will have strong expertise in container orchestration, cloud infrastructure, automation, and platform operations. You will collaborate with DevOps, Platform Engineering, Site Reliability Engineering (SRE), and application development teams to build secure, scalable, and highly available Kubernetes environments. Key Responsibilities Design, deploy, configure, and manage Kubernetes clusters in on-premises, hybrid, and cloud environments. Build and maintain scalable container platforms for microservices-based applications. Automate infrastructure provisioning and Kubernetes deployments using Infrastructure as Code (IaC) and GitOps practices. Develop and maintain CI/CD pipelines for containerized applications. Monitor Kubernetes cluster health, application performance, resource utilization, and availability. Implement autoscaling, load balancing, networking, ingress, and service discovery solutions. Configure and manage Kubernetes security, RBAC, network policies, secrets management, and compliance controls. Troubleshoot cluster, networking, storage, and container runtime issues. Optimize Kubernetes environments for performance, reliability, scalability, and cost efficiency. Collaborate with development, DevOps, cloud, and security teams to improve platform reliability. Maintain documentation, operational procedures, and platform standards. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. 3 6 years of experience in Kubernetes, DevOps, Platform Engineering, Cloud Engineering, or Infrastructure Engineering. Strong hands-on experience with Kubernetes administration and container orchestration. Experience with Docker and containerized application deployment. Proficiency in Linux system administration. Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Strong understanding of networking concepts including DNS, TCP/IP, load balancing, ingress, and service mesh fundamentals. Experience with Git and scripting using Bash, Python, or Go. Preferred Qualifications Experience with managed Kubernetes services such as Amazon EKS, Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Familiarity with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or AWS CloudFormation. Experience implementing GitOps using Argo CD or Flux. Knowledge of Helm, Kustomize, and Kubernetes Operators. Experience with monitoring and observability tools such as Prometheus, Grafana, OpenTelemetry, ELK Stack, Datadog, or Splunk. Familiarity with service mesh technologies such as Istio, Linkerd, or Consul. Experience with secrets management tools such as HashiCorp Vault or cloud-native secret management services. Technical Skills Kubernetes Docker Helm Kustomize Argo CD Flux Terraform Linux Bash Python Go Git Jenkins GitHub Actions GitLab CI/CD Prometheus Grafana OpenTelemetry ELK Stack Istio Linkerd HashiCorp Vault AWS EKS Azure AKS Google GKE Soft Skills Strong analytical and troubleshooting skills. Excellent communication and collaboration abilities. Attention to detail and commitment to operational excellence. Ability to work effectively in Agile and cross-functional teams. Continuous learning mindset and passion for cloud-native technologies. Nice to Have Experience supporting AI/ML platforms or MLOps workloads on Kubernetes. Knowledge of container security, Kubernetes policy enforcement, and runtime security tools. Familiarity with FinOps and cloud cost optimization. Experience with multi-cluster Kubernetes management and disaster recovery. Relevant certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), AWS Certified DevOps Engineer, or Google Professional Cloud DevOps Engineer. Benefits Competitive salary and performance-based incentives. Comprehensive health and wellness benefits. Flexible or hybrid work arrangements. Learning, certification, and conference sponsorship opportunities. Access to modern cloud-native infrastructure and engineering tools. Opportunity to work on enterprise-scale Kubernetes platforms supporting mission-critical applications.

Job Description About Client: The client provides information technology (IT) services, including business outsourcing, infrastructure technology, and application services. The application service offered by the company includes application development, maintenance, and support. The markets served by the company are financial services and insurance, healthcare, manufacturing, government, transportation, communications, and consumer and retail industries. Salary Range: $170K-$200K/Annum Job Description: • 8 14 years of software engineering experience, with strong hands-on large-scale Python, • Working depth in at least one systems or backend language Go, Rust, Java, or C/C and the judgment to know when to reach for it, • Strong data structures and algorithms., • Strong understanding of APIs, microservices, and system design, • Hands-on experience building and operating data pipelines and production-grade distributed systems. Agentic AI and LLMs, • 2 years of hands-on LLM engineering, with at least couple agentic system you designed and took to production, • Production experience with agent frameworks LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent and the fluency to move between them as the ecosystem evolves, • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces, • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation, • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents), • Design of guardrails and reliability patterns validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths Optimization, • Deep familiarity with token optimization and context-window management context shaping, pruning, and compaction, • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls, • Performance testing and tuning systems against defined SLOs Evaluation, • Experience building evaluation frameworks for LLM systems offline eval sets, continuous online evaluation, and regression detection, • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc. Cloud, • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued, • Familiarity with CI/CD pipelines and DevOps practices, • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice Working traits, • Strong analytical problem-solving with a bias to ownership and urgency, • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps, • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases, • Good to Have, • Experience with managed AI platforms Amazon Bedrock, Vertex AI, Azure AI paired with fluency in the underlying fundamentals Roles & Responsibilities:, • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access., • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation., • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on not only the model invocation., • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation., • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs., • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance., • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD., • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products., • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice. About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at compliance@aptask.com. Applicant Consent: By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.

Job Description Job Description: Java AWS DeveloperJob Title Java AWS Developer Location [City, State] / Remote / Hybrid Employment Type Full-time Job Summary We are seeking an experienced Java AWS Developer to design, develop, and deploy scalable cloud-native applications using Java, Spring Boot, and Amazon Web Services (AWS). The ideal candidate will have strong expertise in Java development, microservices architecture, cloud services, RESTful APIs, and CI/CD practices. You will collaborate with cross-functional teams to build secure, high-performance, and highly available enterprise applications. Key Responsibilities Design, develop, and maintain cloud-native applications using Java and Spring Boot. Build and deploy microservices on AWS. Develop scalable RESTful APIs and integrate third-party services. Design and implement event-driven architectures using AWS services. Develop serverless applications using AWS Lambda where applicable. Optimize application performance, scalability, and availability. Integrate applications with relational and NoSQL databases. Implement security best practices using AWS IAM, Secrets Manager, and encryption. Build and maintain CI/CD pipelines for automated deployments. Monitor application health and troubleshoot production issues. Participate in code reviews, architecture discussions, and Agile ceremonies. Create and maintain technical documentation. Required Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 3 years of experience in Java development. Strong proficiency in Java (Java 8/11/17). Experience with Spring Boot, Spring MVC, and Spring Data JPA. Hands-on experience with AWS cloud services. Experience developing RESTful APIs and microservices. Strong SQL and database knowledge. Experience with Git and version control. Knowledge of Docker and containerization. Familiarity with Agile/Scrum methodologies. Preferred Qualifications AWS Certified Developer – Associate or AWS Certified Solutions Architect. Experience with Kubernetes or Amazon EKS. Knowledge of event-driven architecture. Experience with Apache Kafka or Amazon SQS. Familiarity with Infrastructure as Code (Terraform or CloudFormation). Experience with Redis or Amazon ElastiCache. Knowledge of monitoring and logging tools. Experience with CI/CD pipelines. Technical SkillsProgramming Languages Java 8/11/17 SQL Python (Preferred) JavaScript (Nice to Have) Java Technologies Spring Boot Spring MVC Spring Security Spring Data JPA Hibernate REST APIs Microservices AWS Services Amazon EC2 AWS Lambda Amazon S3 Amazon RDS Amazon DynamoDB Amazon ECS Amazon EKS AWS API Gateway Amazon SQS Amazon SNS Amazon CloudWatch AWS IAM AWS CloudFormation AWS Secrets Manager AWS Systems Manager (SSM) AWS Elastic Beanstalk AWS CodeBuild AWS CodeDeploy AWS CodePipeline Amazon ElastiCache Amazon EventBridge Database MySQL PostgreSQL Oracle SQL Server Amazon RDS DynamoDB MongoDB Messaging & Integration Apache Kafka RabbitMQ Amazon SQS Amazon SNS DevOps & CI/CD Docker Kubernetes Jenkins GitHub Actions AWS CodePipeline Azure DevOps Infrastructure as Code Terraform AWS CloudFormation Monitoring & Logging Amazon CloudWatch ELK Stack Grafana Prometheus Splunk Version Control Git GitHub GitLab Bitbucket Testing JUnit Mockito Postman Rest Assured Selenium or Playwright (Preferred) IDEs IntelliJ IDEA Eclipse Visual Studio Code Soft Skills Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and collaboratively. Strong attention to detail. Effective time management and organizational skills. Adaptability and eagerness to learn new cloud technologies. Preferred Experience Experience building enterprise cloud-native applications. Experience designing and implementing microservices architecture. Knowledge of serverless application development. Experience deploying applications using CI/CD pipelines. Experience working with distributed systems. Familiarity with security best practices for cloud applications. Experience in Agile software development environments. Nice to Have AWS Certified Developer – Associate AWS Certified Solutions Architect Spring Cloud Spring Cloud Gateway Spring Cloud Config Apache Kafka Redis / Amazon ElastiCache Elasticsearch / OpenSearch OAuth 2.0 / JWT Authentication SonarQube Terraform Helm OpenTelemetry Grafana & Prometheus Event-Driven Architecture Domain-Driven Design (DDD) Experience: 3–8 Years Notice Period: Immediate to 30 Days Preferred

Job DescriptionJob Title: AI Led Engineering – Enterprise AI, Cloud & Platform TransformationSalary: $200,000 – $220,000Role Summary We are seeking an experienced Principal AI Platform Engineer / AI & Cloud Platform Architect to lead the design, engineering, and operation of enterprise-scale AI platforms. This role combines AI engineering, enterprise platform architecture, cloud transformation, Site Reliability Engineering (SRE), and production operations. The ideal candidate brings extensive experience across AI, DevOps, cloud engineering, platform engineering, and AIOps/observability. The role requires hands-on Python development, experience deploying AI/ML solutions in production, and the ability to design secure, scalable, and reliable platforms for mission-critical or regulated environments. Key Responsibilities Design, build, and maintain enterprise-scale AI platforms and cloud infrastructure. Develop and integrate AI solutions using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents. Implement and operate AIOps and observability platforms to monitor system performance, reliability, and operational health. Lead cloud transformation initiatives across AWS, Azure, and/or Google Cloud Platform (GCP). Support production AI/ML environments, including model deployment, monitoring, lifecycle management, and optimization. Develop infrastructure automation, CI/CD pipelines, and platform engineering capabilities. Implement scalable infrastructure using technologies such as Kubernetes, Docker, Terraform, and service meshes. Integrate AI development tools and engineering copilots into software engineering workflows. Collaborate with architecture, operations, security, and delivery teams to ensure platform reliability, security, and scalability. Establish engineering standards and operational practices for mission-critical and regulated platforms. Required Qualifications Minimum of 12 years of experience across AI, DevOps, cloud engineering, SRE, or platform engineering. Minimum of 3 years of hands-on experience with AI technologies and AI engineering stacks. Minimum of 5 years of experience designing enterprise platforms. Minimum of 3 years of experience implementing AIOps or observability platforms. Mandatory hands-on Python programming experience. Experience with enterprise cloud transformation initiatives. Experience supporting production AI/ML environments. Experience designing or operating mission-critical or regulated platforms. Strong collaboration and coordination skills across architecture, operations, security, and delivery teams. Relevant Technologies and Technical Skills AI and Machine Learning Generative AI and Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI agents, AgentCore, and Model Context Protocol (MCP) AWS Bedrock and Amazon SageMaker Vector databases Model deployment and lifecycle management Engineering copilots such as Kiro and GitHub Copilot Cloud and Platform Engineering AWS, Microsoft Azure, and/or Google Cloud Platform (GCP) Infrastructure as Code and automation using Terraform CI/CD pipelines Kubernetes and Docker Service meshes Enterprise platform architecture and cloud modernization AIOps, SRE, and Observability AIOps platform implementation Infrastructure and application monitoring Distributed tracing, logging, and metrics Datadog, Dynatrace, Splunk, Prometheus, and OpenTelemetry Production reliability, incident analysis, and performance optimization Note: Candidates are not required to have experience with every named technology. Assessment should focus on transferable technical capabilities, relevant platform experience, and demonstrated implementation of AIOps or observability solutions. Ideal Candidate Profile Senior-level engineer or architect with a strong combination of AI engineering, enterprise platforms, and cloud operations experience. Hands-on Python developer with practical experience building or integrating AI solutions. Proven track record designing enterprise platforms and supporting production AI/ML workloads. Demonstrated experience implementing AIOps or observability platforms. Experience with at least one major cloud provider. Able to coordinate effectively across technical architecture, security, operations, and delivery teams. Comfortable evaluating and adopting relevant technologies without requiring experience with every product listed.

Job DescriptionPay Rate Range: $ 45.45 - 49.24/hr. Fedops Engineer Job Description: FedOps candidate should possess strong experience in managing and supporting cloud-based and enterprise platforms within highly regulated environments, with a focus on reliability, security, and compliance. The role requires proficiency in DevOps practices such as CI/CD, infrastructure automation, and monitoring, along with hands-on expertise in troubleshooting, incident response, and system optimization to ensure high availability and performance. Candidates should be comfortable collaborating across development, security, and operations teams to streamline software delivery while adhering to governance standards typical of federal environments. Strong AAP playbook skillset, problem-solving skills, operational mindset, and the ability to continuously improve processes through automation and data-driven insights are essential. The knowledge of HPOO and HPSA are a plus in this role but not absolutely required. Core Responsibilities • Design, develop, and support event-driven automation leveraging the FedOps framework across ServiceNow, Polycloud, and enterprise platforms, • Build, maintain, and optimize automation workflows using Ansible Automation Platform (AAP), • Develop reusable, scalable playbooks for alert remediation, self-healing, and operational workflows, • Integrate automation solutions with enterprise systems (ServiceNow, APIs, infrastructure platforms), • Support onboarding of applications/use cases into FedOps and ensure alignment with enterprise standards, • Troubleshoot and resolve automation failures, ensuring reliability and operational resiliency Required Skills (Must-Have) • Strong, hands-on expertise in Ansible Automation Platform (AAP) including: o Playbook development and optimization o Job templates and workflow templates o RBAC and secure execution models o Integration with external systems (ServiceNow, APIs, etc.) • Solid scripting skills (Python, PowerShell, or shell scripting), • Experience with event-driven automation and operational tooling, • Strong understanding of infrastructure, application workflows, and incident management processes Preferred / Nice-to-Have Skills • Experience with legacy automation/orchestration platforms such as: o Client Operations Orchestration (HPOO) o Client Server Automation (HPSA) • Familiarity with migration/modernization efforts from legacy platforms to AAP or other modern orchestration tools [RE: Midyea...lishments. | Outlook], • Exposure to enterprise automation ecosystems (e.g., SSP, AutoSys, ServiceNow integrations) Key Success Factors • Ability to drive automation modernization and reduce dependency on legacy tooling, • Strong focus on scalability, resiliency, and operational efficiency, • Proven ability to enable teams through reusable automation frameworks and standards Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNDigital : Amazon Web Service(AWS) Cloud ComputingYes1>7 years

Job Description Job Description: Data Warehouse Developer Position: Data Warehouse Developer Job Summary We are seeking a skilled Data Warehouse Developer responsible for designing, developing, and maintaining enterprise data warehouse solutions. The role involves data modeling, ETL development, data integration, reporting support, and performance optimization to enable accurate and reliable business intelligence and analytics. Key Responsibilities Design, develop, and maintain data warehouse solutions based on business requirements. Develop and maintain ETL/ELT processes for data extraction, transformation, and loading. Create data models including star schema, snowflake schema, fact tables, and dimension tables. Design and optimize complex SQL queries, stored procedures, views, and database objects. Integrate data from multiple sources including databases, APIs, applications, and external systems. Perform data cleansing, validation, transformation, and quality checks. Optimize data warehouse performance through indexing, partitioning, and query tuning. Develop and maintain data pipelines and workflow processes. Collaborate with data analysts, BI developers, business users, and application teams. Troubleshoot data loading issues, data discrepancies, and performance problems. Maintain technical documentation including data models, mappings, and ETL workflows. Support data warehouse upgrades, migrations, and enhancements. Ensure data security, governance, and compliance standards are followed. Required Skills & Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. Experience in data warehouse development and database technologies. Strong knowledge of: Data warehousing concepts ETL/ELT processes Data modeling techniques Data integration patterns SQL programming Hands-on experience with databases such as: Oracle Microsoft SQL Server PostgreSQL MySQL Teradata Snowflake Experience with ETL tools such as: Informatica PowerCenter Talend SSIS DataStage Apache Airflow dbt Strong SQL skills including complex queries, stored procedures, optimization, and performance tuning. Understanding of data quality, metadata management, and data governance. Preferred Skills Experience with cloud data warehouse platforms: Amazon Redshift Snowflake Google BigQuery Azure Synapse Analytics Knowledge of BI and reporting tools: Power BI Tableau Looker QlikView Experience with big data technologies: Apache Spark Hadoop Kafka Hive Familiarity with Python, Shell scripting, or other programming languages. Experience with DevOps practices and version control tools such as Git. Preferred Certifications Cloud Data Engineering Certifications Snowflake Certification Microsoft Azure Data Engineer Certification AWS Data Analytics Certification Google Cloud Data Engineer Certification Soft Skills Strong analytical and problem-solving skills. Good understanding of business data requirements. Strong communication and documentation abilities. Ability to work independently and collaborate with cross-functional teams. Experience Level 2 4 years: Data Warehouse Developer 4 7 years: Senior Data Warehouse Developer 7 years: Lead Data Warehouse Developer

Job Description Title: Snowflake Data Engineer Platform Optimization Location: NYC, NY | Remote | Contract We are seeking an experienced Snowflake Data Engineer to support workload optimization, platform performance, resiliency, and cost efficiency. The role will focus on analyzing existing Snowflake workloads, improving resource utilization, and supporting integration with an AWS-based open data platform using Amazon S3, Apache Iceberg, and Apache Polaris. Key Responsibilities Design and validate Snowflake integration with Amazon S3, Apache Iceberg, and Apache Polaris. • Analyze Snowflake workloads, query performance, warehouse utilization, concurrency, and consumption patterns., • Identify and implement performance-tuning and cost-optimization opportunities across databases, warehouses, pipelines, and dbt workloads., • Review platform incidents and workload failures to improve reliability, resiliency, monitoring, and operational controls., • Support workload benchmarking and placement assessments across Snowflake and AWS services., • Establish optimization recommendations, platform guardrails, and measurable cost-efficiency improvements. Required Skills • Strong hands-on Snowflake integration with Amazon S3, Apache Iceberg, Apache Polaris, or another Iceberg REST Catalog., • Strong hands-on experience with the Snowflake platform, SQL, workload management, and query performance tuning., • Experience optimizing virtual warehouses, storage, clustering, caching, concurrency, and Snowflake credit consumption., • Knowledge of Snowflake security, access controls, data sharing, monitoring, and operational best practices., • Experience troubleshooting complex data pipelines and platform performance issues., • Strong understanding of cloud data architecture and integration patterns.

Job Description Role: SRE Engineer Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Windows Powershell~Zabbix~Unix Administration~Database Technology Experience Required: 6-8 Years MUST HAVE SKILLS: DevOps, Jenkins, AWS, Linux, PostgreSQL, MySQL, CI/CD, Automation Role Descriptions: Must Have Technical/Functional Skills 6-7 years of experience in Site Reliability Engineering, Production Support, DevOps, or Infrastructure Operations. Strong understanding of Linux administration and troubleshooting. Hands-on experience with AWS cloud services (EC2, RDS, IAM, VPC, CloudWatch, S3). Experience with monitoring, alerting, and observability tools. Knowledge of incident management, problem management, and RCA processes. Experience with automation and scripting using Shell and/or Python. Working knowledge of PostgreSQL and MySQL databases. Experience with Git version control.

Job Description Role Overview: We are seeking a Senior Amazon Connect Engineer to lead the design, development, and delivery of modern cloud-based contact center solutions leveraging Amazon Connect and related AWS services. This role will serve as a key technical authority, responsible for building scalable voice and chat solutions, driving system integrations, and ensuring high-performing, resilient architectures that enhance customer engagement. Key Responsibilities: Architecture & Design • Define and own the end-to-end technical strategy for Amazon Connect implementations., • Architect secure, scalable, and fault-tolerant contact center systems., • Lead platform modernization and migration from legacy telephony systems to AWS-based solutions. Development & Integration • Design and build advanced contact flows, Lex bots, routing logic, and IVR frameworks., • Integrate Amazon Connect with Salesforce, ServiceNow, and custom CRM applications., • Develop AWS-based backend services using Lambda, API Gateway, DynamoDB, Kinesis, and EventBridge., • Implement AI-driven experiences using tools such as Amazon Bedrock, OpenAI, or LangChain. Operations & Support • Support production environments and ensure system reliability through monitoring and automation., • Perform root-cause analysis and implement continuous improvements for incident management., • Establish observability metrics (SLIs/SLOs) and dashboards to track performance. Leadership & Collaboration • Mentor junior engineers and support team skill development., • Partner with network and security teams to maintain compliance, IAM policies, and QoS standards., • Deliver analytics and reporting capabilities for business operations. Required Skills & Qualifications: • 5–10+ years of experience in telephony, contact center technology, or AWS backend development., • 3+ years hands-on experience with Amazon Connect preferred., • Strong experience with AWS services including Lambda (Node.js/Python), API Gateway, DynamoDB, S3, CloudWatch, and IAM., • Experience integrating with Salesforce Service Cloud Voice or similar platforms preferred., • Knowledge of networking and telephony concepts such as SIP, RTP, and PSTN., • Experience with REST/GraphQL APIs, JWT, and OAuth/SAML authentication., • Familiarity with Terraform, CloudFormation, Git, and CI/CD automation., • Strong analytical, communication, and leadership skills. Preferred Certifications: • AWS Certified Solutions Architect or Developer, • Salesforce Service Cloud or Omni-Channel Certification

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We're working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we're looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We're working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people's lives. Responsibilities: • Build data processing and exploration pipelines along with ML infrastructure to power our intelligence, • Deploy a range of cloud-based technologies for critical projects, • Write, test, instrument, and deploy code to our Kubernetes environment, • Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: • 2+ years of professional software development experience with a focus on Python and big data technologies, • Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies, • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms, • Experience with containerization technologies like Docker and/or Kubernetes Preferred Qualifications: • 4+ years of professional software development experience, with a focus on Python and big data technologies, • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience, • Experience with data integration tools like Apache Kafka, Flume, and NiFi, • Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB, • Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks As part of our team you'll enjoy: • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan The US base salary range for this full-time position is $130,000-$175,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. #LI-Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Job DescriptionOur client is a cloud management consulting firm. Seeking a Senior Database Architect to lead SQL Server modernization and AWS database architecture. The primary focus is untangling complex SQL Server replication, implementing Multi-AZ / multi-region HA, and preparing the database layer for a future SQL Server → Aurora PostgreSQL migration.Must-Have Experience • Deep SQL Server architecture experience — SQL Server on EC2 and/or RDS SQL Server, • SQL Server performance tuning, troubleshooting and database optimization, • SQL Server → AWS Aurora PostgreSQL migration experience, • Hands-on AWS DMS and Schema Conversion Tool (SCT), • Strong T-SQL, stored procedure analysis and database object migration, • Experience designing Multi-AZ Availability Groups and multi-region SQL Server architectures, • Terraform / Infrastructure as Code, • Strong understanding of OLTP/OLAP replication and database-to-application integration Key Responsibilities, • Own SQL Server modernization activities for Phase One, • Analyze and resolve complex OLTP ↔ OLAP replication architecture, • Design and implement Multi-AZ and multi-region SQL Server HA/DR, • Perform T-SQL and database object assessment for migration, • Develop migration strategy using AWS DMS/SCT, • Prepare SQL Server databases for eventual Aurora PostgreSQL migration, • Work closely with infrastructure, application and data teams on database architecture Nice to Have, • PostgreSQL / Aurora PostgreSQL, • Amazon Redshift, • Kinesis Firehose, • Amazon EKS, • Additional DB-to-application integration experience Environment SQL Server | EC2 | RDS SQL Server | Aurora PostgreSQL | AWS DMS | SCT | Terraform | Multi-AZ | Multi-Region

Job DescriptionOur client, a Financial company, is looking for a Senior .NET Backend & Integration Engineer for their Jersey City, NJ location. Responsibilities: • API Development & Data Integration: Design, code, and optimize secure multi-tenant APIs using C# and .NET Core that dynamically query and aggregate data across Amazon DynamoDB, PostgreSQL, and varied external client data sources., • Technical Guidance: Provide clear architectural requirements to DevOps and Network Engineering teams regarding application infrastructure needs., • Integration Testing: Collaborate with network and infrastructure peers to validate secure backend connections to external client data centers., • Cross-Network Troubleshooting: Diagnose, isolate, and debug end-to-end data routing issues between the AWS-hosted API and remote external databases. Requirements: • This is a hands-on backend engineering role for a developer who will build and deploy a multi-tenant SaaS application on AWS., • You will write high-performance APIs using C# and .NET that communicate with DynamoDB, PostgreSQL, and various external client data sources., • You do not need to perform network-level coding; instead, you will collaborate with DevOps and Network Engineers to guide infrastructure setup, test hybrid connectivity, and troubleshoot cross-network data access issues., • Languages & Frameworks: Expert-level C#, .NET Core, • Data Stores & Integration: Deep hands-on experience with Amazon DynamoDB, PostgreSQL (Entity Framework Core or Dapper), and writing abstract data access layers to query heterogeneous external data sources., • SaaS Multi-Tenancy: Real-world experience implementing application-level tenant isolation, data partitioning, and tenant context middleware., • Hybrid Networking Concepts: Solid conceptual understanding of VPCs, AWS PrivateLink, and firewalls to effectively guide networking peers., • DevOps Liaison: Basic familiarity with cloud infrastructure deployment (Terraform, AWS CDK) to streamline pipeline integrations., • Experience: 5+ years of active, hands-on backend development building distributed systems on AWS., • Communication: Strong collaborative skills to translate complex application data requirements into actionable tasks for infrastructure teams., • Wanted to clarify that this is an Architect/Senior Developer role that requires strong hands-on coding and troubleshooting experience., • The position is not focused solely on solution design or high-level architecture; it involves active participation in development, debugging, problem resolution, and technical implementation., • The ideal candidate should have a proven track record of writing production-quality code, investigating and resolving complex technical issues, and contributing directly to the delivery of software solutions while also providing architectural guidance when needed. Why Should You Apply? • Health Benefits, • Referral Program, • Excellent growth and advancement opportunities

Job DescriptionTitle: Cloud Security Engineer Location: Remote Duration: 6-Month Contract Experience Range: 6-8 years Our client is seeking a Cloud Security Engineer with 6–8 years of experience to design, implement, and harden security controls across multi-cloud and data platforms. You will establish security standards, conduct architecture reviews, and collaborate with engineering teams to embed security into cloud infrastructure and CI/CD pipelines. Responsibilities & Qualifications · Design and review AWS security architecture; establish secure-by-default patterns across AWS, Azure, and GCP · Identify and remediate security issues using cloud security posture management tools (Wiz) and manual assessments across cloud and data environments · Define and implement security controls for AI tooling, containerized workloads (Amazon EKS/Kubernetes), and cross-platform integrations (Snowflake, Databricks) · Conduct architecture reviews, design reviews, and threat modeling for new systems and services · Harden GitHub repositories, GitHub Actions CI/CD pipelines, and Terraform infrastructure-as-code for security · Assess new cloud services and recommend controls before adoption; establish reference patterns and guardrails for engineering and data teams · Collaborate across Platform Engineering, Cloud Operations, Data Engineering, Networking, and Security teams to embed security best practices Requirements · 6–8 years of cloud security or related infrastructure security experience · Strong expertise in AWS security architecture, IAM, and cloud security posture management · Proficiency in Kubernetes/Amazon EKS hardening and infrastructure-as-code (Terraform) · Hands-on experience with cloud security tooling, particularly Wiz; familiarity with Azure and GCP security · Programming or scripting capability in Python, TypeScript, Go, or similar languages · Knowledge of security frameworks (NIST CSF, CIS Benchmarks, ISO 27001) and data platform security (Snowflake, Databricks) · Experience securing CI/CD pipelines, GitHub workflows, and container orchestration platforms · Ability to work independently and communicate security concepts effectively across technical and non-technical stakeholders

Job DescriptionCompany Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization, and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and operational business processes. You will use Java and Spring Boot to develop scalable backend services, React with TypeScript to create responsive user experiences, and Node.js where appropriate for supporting components. The role suits a hands-on engineer with strong software development fundamentals who can take features from technical design through implementation, testing, deployment, and production support. Experience with Workforce Management (WFM), Customer Experience (CX), or contact center solutions is an advantage Responsibilities: • Design, develop, test, and maintain scalable backend services using Java, Spring Boot, and established software engineering practices., • Build modern web applications using React, TypeScript, reusable components, responsive layouts, and accessible interaction patterns., • Develop and consume REST APIs using an API-first approach; maintain clear OpenAPI/Swagger contracts and error handling., • Design modular, maintainable solutions using microservices and appropriate object-oriented and event-driven design patterns., • Use Node.js where appropriate for lightweight services, backend-for-frontend components, integrations, or development tooling., • Design and optimize PostgreSQL data models and queries with attention to integrity, performance, and audit history., • Design and implement reliable integrations with internal and external systems using REST APIs, webhooks, messaging, and other appropriate integration patterns., • Containerize applications and contribute to cloud-based deployment patterns, configuration management, and environment consistency., • Build and maintain Jenkins-based CI/CD pipelines with automated testing, quality gates, and repeatable deployments., • Instrument applications with structured logging, metrics, tracing, and actionable error reporting., • Troubleshoot functional and production issues and improve application performance, resilience, scalability, and maintainability., • Collaborate with Product, UX, QA, DevOps, Architecture, and other engineers through design sessions, code reviews, planning, and continuous improvement.Qualifications, • 5+ years of full-stack software development experience, including ownership of production applications., • Strong hands-on experience with Java and Spring technologies, particularly Spring Boot, REST services, persistence, security, and automated testing., • Solid frontend development experience with Angular or React, TypeScript, HTML, CSS, component-based design, state management, and modern testing practices., • Familiarity with Node.js for lightweight services, integrations, build tooling, or supporting components., • Proven experience designing REST APIs, microservices, and maintainable applications in distributed environments., • Strong SQL skills and experience designing efficient data models in PostgreSQL or comparable relational databases., • Experience developing, deploying, or supporting cloud-based and containerized applications., • Excellent communication skills, including the ability to produce clear technical documentation and lead client-facing workshops., • Knowledge of OAuth2, OpenID Connect, JWT, and secure API design., • Experience with Kafka, RabbitMQ, or comparable messaging and event-streaming technologies., • Familiarity with Kubernetes, cloud platforms, observability tooling, and secure software delivery practices. Nice to have: • Experience developing Workforce Management (WFM) applications or integrating with WFM platforms., • Experience with AWS services and Amazon Connect, • Experience building applications for CX solutions, contact centers, or customer service environments, including voice infrastructure or integrations using FreeSWITCH, Kamailio, Twilio, or comparable communications platforms., • Knowledge of forecasting, scheduling, adherence, routing, agent desktop, digital channels, or related operational concepts., • Experience integrating applications with CRM, identity, HR, payroll, analytics, or other enterprise systems., • Practical experience with AI-assisted software development or AI-enabled solutions, including tools such as Claude or GitHub Copilot, is a plus. Additional Information We offer: • Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth., • Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program., • Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities., • Global Impact: collaborate on impactful projects for top global clients and shape the future of industries., • Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events., • Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality., • Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

Job DescriptionTitle: Senior AI Engineer Location: New York, NY/Pittsburgh, PA/Lake Mary, FL (Hybrid (2-4 days a week work from office) Duration: 12 months : Minimum years of experience required: 5 years of relevant experience; 10 years of overall experience Must Have Skills: AI, Python Nice to Have Skills: Java Springboot, Angular Detailed Job Description: 1.Design and develop AI/ML solutions using supervised, unsupervised, deep learning, NLP, time series forecasting, and anomaly detection techniques to address business challenges. 2.Build Generative AI applications leveraging LLMs, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and AI agent frameworks. 1.Experience of working for banking domain 2.Develop and maintain end-to-end AI pipelines, covering data ingestion, preprocessing, model training, deployment, monitoring, and continuous improvement. 3.Demonstrate strong programming expertise in Python and SQL, with hands-on experience in ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face, SpaCy, and NLTK. 4.Work with large-scale data ecosystems, including ETL processes, data lakes, data warehouses, streaming platforms, and tools like Spark, Databricks, or Microsoft Fabric. 5.Implement MLOps best practices, including CI/CD pipelines, model governance, explainability, monitoring, Docker-based containerization, and Kubernetes orchestration. 6.Deploy AI models through APIs and microservices, ensuring seamless integration with enterprise applications, systems, and cloud platforms. 7.Utilize cloud-based AI services on Azure or AWS, including platforms such as Azure Machine Learning and Amazon SageMaker. 8.Collaborate with business and technology stakeholders to translate business requirements into scalable AI solutions while tracking ROI and value realization. 9.Contribute to AI innovation and best practices through reusable frameworks, AI copilots, semantic models, knowledge graphs, LangChain/Semantic Kernel orchestration, and synthetic data techniques

Job DescriptionCompany Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and operational business processes. You will use Java and Spring Boot to develop scalable backend services, React with TypeScript to create responsive user experiences, and Node.js where appropriate for supporting components. The role suits a hands-on engineer with strong software development fundamentals who can take features from detailed technical design through implementation, testing, deployment, and production support. Experience with Workforce Management (WFM), Customer Experience (CX), or contact center solutions is an advantage Responsibilities: • Design, develop, test, and maintain scalable backend services using Java, Spring Boot, and established software engineering practices., • Build modern web applications using React, TypeScript, reusable components, responsive layouts, and accessible interaction patterns., • Develop and consume REST APIs using an API-first approach; maintain clear OpenAPI/Swagger contracts and error handling., • Contribute to the design of modular, maintainable solutions using microservices and appropriate object-oriented and event-driven design patterns., • Use Node.js where appropriate for lightweight services, backend-for-frontend components, integrations, or development tooling., • Contribute to the design and optimization of PostgreSQL data models and queries with attention to integrity, performance, and audit history., • Implement and support reliable integrations with internal and external systems using REST APIs, webhooks, messaging, and other appropriate integration patterns., • Containerize applications and contribute to cloud-based deployment patterns, configuration management, and environment consistency., • Build and maintain Jenkins-based CI/CD pipelines with automated testing, quality gates, and repeatable deployments., • Instrument applications with structured logging, metrics, tracing, and actionable error reporting., • Troubleshoot functional and production issues and improve application performance, resilience, scalability, and maintainability., • Collaborate with Product, UX, QA, DevOps, Architecture, and other engineers through design sessions, code reviews, planning, and continuous improvement.Qualifications, • 5+ years of full-stack software development experience, including contribution to production applications., • Hands-on experience with Java and Spring technologies, particularly Spring Boot, REST services, persistence, security, and automated testing., • Frontend development experience with Angular or React, TypeScript, HTML, CSS, component-based design, state management, and modern testing practices., • Familiarity with Node.js for lightweight services, integrations, build tooling, or supporting components., • Experience developing REST APIs, microservices, and maintainable applications in distributed environments., • Strong SQL skills and experience designing efficient data models in PostgreSQL or comparable relational databases., • Experience developing, deploying, or supporting cloud-based and containerized applications., • Excellent communication skills, including the ability to produce clear technical documentation and participate in client-facing workshops., • Knowledge of OAuth2, OpenID Connect, JWT, and secure API design., • Experience with Kafka, RabbitMQ, or comparable messaging and event-streaming technologies., • Familiarity with Kubernetes, cloud platforms, observability tooling, and secure software delivery practices. Nice to have: • Experience with Workforce Management (WFM), Customer Experience (CX), contact center, or customer service solutions., • Experience with AWS, Amazon Connect, FreeSWITCH, Kamailio, Twilio, or similar communication technologies., • Knowledge of workforce optimization and contact center operations, including forecasting, scheduling, routing, and adherence., • Experience integrating enterprise applications with CRM, HR, identity, payroll, and analytics platforms., • Familiarity with AI-assisted development tools such as GitHub Copilot or Claude. Additional Information We offer: • Culture of relentless performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth., • Competitive pay and benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program., • ForeverRemote work culture: make the most of the flexibility that comes with remote work., • Growth mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities., • Global impact: collaborate on impactful projects for top global clients and shape the future of industries., • Welcoming multicultural environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events., • Social sustainability values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality., • Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.