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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 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

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.

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.

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)

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 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 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 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 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 Description Backend Engineer – Java/Python, AWS & Terraform Location: Jersey City, NJ Onsite.- Locals Prefered Work Authorization: US Citizen, Green Card, or GC EAD preferred W2 Requirement- No C2C, 1099, or third-party profiles accepted. Position Overview We are seeking a Backend Engineer to design, develop, test, deploy, and support production-grade software applications using Java and/or Python in AWS cloud environments. The ideal candidate combines strong software engineering fundamentals with hands-on experience building APIs and backend services, managing cloud infrastructure using Terraform, and working with relational or NoSQL databases. The engineer will contribute to system design, secure coding, automated testing, CI/CD, infrastructure automation, and production incident resolution while collaborating with product, QA, SRE/operations, and security teams. Key Responsibilities • Design, develop, test, deploy, and maintain production-grade backend applications using Java and/or Python., • Build and maintain APIs, microservices, and cloud-based backend solutions on AWS., • Write secure, maintainable, high-quality code and participate in peer code reviews., • Troubleshoot application and infrastructure issues, perform root-cause analysis, and implement permanent fixes., • Contribute to system design, service architecture, performance optimization, and reliability improvements., • Use Terraform or similar infrastructure-as-code tools to provision and manage cloud resources and environments., • Develop and maintain automated tests and contribute to CI/CD pipeline improvements., • Work with relational and/or NoSQL databases, including data modeling and query optimization., • Apply secure coding practices, logging, monitoring, error handling, and resilience patterns., • Use approved AI-assisted engineering tools when appropriate, validating generated code and recommendations for security, correctness, and performance., • Document technical decisions and collaborate with cross-functional engineering teams. Required Qualifications • Strong proficiency in Java and/or Python, including object-oriented programming, data structures, algorithms, and software design fundamentals., • Hands-on experience developing, testing, deploying, and supporting production applications., • Practical AWS cloud experience deploying or operating backend services., • Experience designing, developing, and consuming APIs., • Familiarity with microservices and/or event-driven architectures., • Experience with Terraform or comparable infrastructure-as-code tooling., • Experience with relational and/or NoSQL databases, including backend data modeling., • Understanding of secure coding, production troubleshooting, performance, logging, and monitoring., • Ability to work independently and collaborate effectively on technical design and delivery. Preferred Qualifications • Experience with Kafka, Amazon SQS/SNS, Kinesis, MQ, or other messaging/eventing platforms., • Experience with Docker, containers, and CI/CD tools., • Knowledge of unit testing, integration testing, and test-driven development., • Familiarity with REST, gRPC, metrics, distributed tracing, and observability., • Experience working in enterprise or financial-services engineering environments.

Job Description Job Description Summary: As a member of the Identity and Access Management team we are responsible for the automation that creates, maintains and manages digital identities of employees, contractors and partners. Part of our responsibilities include ensuring people have access to the right resources at the right time based on job roles, responsibilities, and attributes. We work closely with our internal controls department to ensure all our processes are compliant with audit requirements. What You Will Do: You will work on a team dedicated to building application integrations with our global identity tool Sailpoint Identity Security Cloud. To be successful in this role, you will meet with different application subject matter experts to understand how the authentication and authorization works for their application and then make a recommendation as to how we can build an integration. Once approved, you will implement an approved integration pattern between the application and Sailpoint. A few examples of approved patterns are native out-of-the-box connectors, API, JDBC and flat files. What You Will Need: Qualifications Demonstrate strong technical skills, problem solving and troubleshooting skills. Able to work under pressure in case of a critical incident and provide resolution. Be a strong team player. experience with SailPoint Identity Security Cloud. Experience with IAM concepts like JML, RBAC, Provisioning, Access Reviews and Certification Campaigns. Strong understanding of authentication and authorization using Microsoft Active Directory, LDAP and Azure AD. Integrate IAM systems with in-house applications, third-party applications, and SaaS applications for lifecycle management, provisioning, identity authentication, and developing connectors between IAM tools and system. Preferred • SailPoint Identity Security Cloud, • Process automation / orchestration, • Amazon Web Services / Azure AD, • Python and/or PowerShell scripting, • Database Design, • SailPoint Certification on Identity Now, • CISSP

Job DescriptionThe Role In this role, you will be responsible for analysis, design, and development for the Java and Oracle Development Team. This includes representing the team on both large- and small-scale projects while also working on individual tasks. You should enjoy working in a fast-paced environment with dynamic teams across multiple locations. Strong Java development, Oracle expertise, and excellent communication skills are essential. The Team As part of the Agency Lending team, you will provide development and support for the backend/API layer required for the digital platform. You will work closely with stakeholders to build both large- and small-scale features that enhance the application while supporting technology lifecycle management (TLM) initiatives. Under minimal supervision, you will perform analysis, design, and development using Java, PL/SQL, SQL, and AWS technologies. The Expertise You Have 5 years of Oracle and Java development experience. Strong expertise in Object-Oriented Design and Java/J2EE web development. Experience developing applications in UNIX and Windows environments. Strong knowledge of: Core Java JDBC Spring Framework Multi-threading Concurrent and asynchronous application development Experience writing unit and functional test cases. 5 years of experience writing: Complex Oracle PL/SQL Functions Stored Procedures Oracle 12 Shell Scripting Experience with CI/CD tools such as Jenkins. Experience developing and maintaining cloud applications using: Docker Amazon EKS AWS (S3, SQS, SNS, Lambda) Experience with: FIS Global One SB Client UniData Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technology field. The Skills You Bring Ability to work in a fast-paced environment while managing multiple priorities. Strong experience with relational database design and analysis. Self-motivated with the ability to take initiative. Excellent written and verbal communication skills. Experience working in Agile and highly collaborative environments. The Value You Deliver Perform technical and functional analysis to determine the best implementation approach based on business requirements. Design and develop innovative technical solutions for new features and strategic initiatives. Develop and support applications ranging from small enhancements to complex enterprise solutions. Participate in all phases of testing, including unit, integration, user acceptance, and production validation. Create and maintain clear technical documentation and project status updates. Provide production support, troubleshoot application issues, participate in on-call rotations, validate code releases, and support production deployments.

Job DescriptionLooking for a strong DevOps mid-level engineer with at least 8 to 10 years of experience and a solid understanding of cloud technologies such as AWS and Azure. Any cloud certifications are added. Along with core java skills added plus. Hybrid working style with 6 months of contract and extendable. Core Java developer with DevOps exposure or vice Versa … it is a mid-level Requirements: • Java, spring boot, hibernate, docker, and microservices.. Skill in multi-threading is required., • Hands-on in Amazon AWS or Microsoft Azure., • Hands-on in Terraform or equivalent is required.. exposure to all cloud concepts is needed. Job Responsibilities: • Analysis, requirements gathering, Java coding, Terraform coding, Jenkins scripting Any visa type is welcome and we can work on a C2C basis.

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem. Responsibilities • Manage large-scale data analytics client engagements in a global delivery model, • Work with business executives to understand business requirements and constraints for the success of the program., • Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value., • Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern, • Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions, • Steer discussions in strategizing and implementing digital and cloud solutions., • Collaborating with business / IT stakeholders and product managers to ideate software Requirements • 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects, • Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies, • Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data., • Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks., • Implement Databricks on AWS, ensuring security, scalability, and performance., • Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics., • Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required., • Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops, • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines, • Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake, • Deep understanding of Life Sciences to deliver domain-specific solutions that address industry challenges. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. 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 DescriptionRole: Databricks Data Engineer – Sales Data Platform Location: Harrisburg, PA – Remote Role Summary We are seeking an experienced Databricks Data Engineer to design and implement a scalable Sales Data Platform using Databricks on AWS. This is a hands-on, architecture-driven role focused on data ingestion, transformation, modeling, and optimization using modern lakehouse architecture patterns. The ideal candidate will collaborate with data engineers, source system teams, cloud platform teams, and downstream consumers to deliver high-quality, governed, and performance-optimized sales datasets. Key Responsibilities1. Architecture and Design Define end-to-end lakehouse architecture on Databricks running on AWS for sales data domains. Design Medallion Architecture (Bronze, Silver, and Gold layers) aligned with enterprise data standards. Establish data modeling standards for sales facts, dimensions, hierarchies, and aggregations. Define scalable ingestion patterns for batch and incremental data loads. Drive performance, scalability, and cost optimization best practices. 1. Data Engineering and Implementation Develop and guide the implementation of PySpark-based data pipelines using Databricks. Implement Delta Lake capabilities, including ACID transactions, schema evolution, schema enforcement, time travel, and versioning. Design and optimize large-scale joins, aggregations, and window functions. Implement Change Data Capture (CDC) and incremental processing using watermarking and change detection. Build idempotent, restartable, and fault-tolerant data pipelines. Develop and maintain data transformations using dbt, PySpark, and Spark SQL. 1. AWS and Platform Integration Design and implement data solutions using AWS services, including: Amazon S3 for data lake storage AWS IAM for security and access control AWS Glue and Glue Data Catalog Amazon CloudWatch for monitoring and logging Optimize Databricks cluster configurations, including job and all-purpose clusters. Implement secure connectivity, secrets management, and access-control patterns. 1. Data Quality, Governance, and Reliability Define and implement data quality checks, validations, and reconciliation processes. Ensure data lineage, metadata capture, and traceability. Implement error handling, auditing, and monitoring frameworks. Support enterprise data governance, security, and access-control requirements. Maintain data accuracy, consistency, and reliability across pipelines. 1. DevOps and Operational Excellence Implement CI/CD pipelines for Databricks notebooks, jobs, and data engineering workflows. Establish code versioning, code review, and deployment standards. Design monitoring, alerting, and service-level agreement (SLA) tracking for data pipelines. Support production stabilization, troubleshooting, and performance tuning. Optimize pipeline execution, cluster utilization, and operational efficiency. 1. Collaboration and Technical Leadership Provide technical leadership and mentorship to Databricks Data Engineers. Collaborate with Sales, CRM, ERP, source system, cloud platform, and analytics teams. Work with downstream data consumers and application teams to understand data requirements. Translate business requirements into scalable technical designs. Conduct technical design reviews and promote reusable engineering standards. Required Skills and QualificationsCore Technical Skills 8+ years of experience in Data Engineering, Data Architecture, or related roles. 4+ years of hands-on Databricks experience. Strong expertise in PySpark and Spark SQL. Strong hands-on expertise in dbt. Deep understanding of Delta Lake. Strong knowledge of AWS services, including S3, IAM, AWS Glue, and CloudWatch. Data Engineering Expertise Experience working with sales data domains, including orders, revenue, pricing, customers, and products. Strong understanding of fact and dimension modeling. Experience with Slowly Changing Dimensions (SCD Type 1 and Type 2). Experience designing large-scale data processing solutions. Experience handling high-volume, high-velocity datasets. Expertise in batch and incremental data processing patterns. Experience implementing Medallion Architecture and scalable lakehouse solutions. Platform and Operational Skills Experience with Databricks job orchestration and scheduling. Strong skills in cluster sizing, performance tuning, and cost optimization. Experience implementing CI/CD for data platforms. Strong troubleshooting, debugging, and root cause analysis skills. Understanding of data quality, governance, monitoring, and reliability practices. Preferred Qualifications Experience with enterprise OneData or Data Mesh initiatives. Exposure to real-time or near-real-time data ingestion. Experience integrating CRM and sales systems, such as Salesforce or SAP sales data. AWS or Databricks certifications. Experience delivering large-scale enterprise data platform transformation programs.

Job Description Role: Forward Deployment Engineer (FDE) with Data background Location: ONSITE- Jersey City, NJ Duration: 6 months Rate: $50-$55/hr Descriptions: "" Senior Data Engineer (Python with AWS) 10 year experience " Experience designing and building Data Pipelines using AWS Native services and Python " Experience in building API s(REST/Flask) for real-time data integrations " Experience designing and building authentication and authorization(SSO, OAuth, Entra..) " Strong Experience in Python programming " Proven experience in building and implementing in below tech stack: " Experience working on vector database and embeddings for RAG " AWS Cloud Experience (Terraforms, Lambda, Stepfunctions, Textract, AWS Bedrock for AI LLM s, S3, SQS, SNS) " Amazon RDS PostGres " Amazon API Gateway " Events driven architecture"

Job DescriptionJob Description: 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. Core 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.Required Technical Skills:, • 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.Qualifications:, • 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.

Job DescriptionDescription: Job Profile: Senior Multi-Tenant .NET Backend & Integration Engineer 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. Core 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. Required Technical Skills: 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. Qualifications 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.

Job Description Job Title: Senior Product Manager Location : Hybrid Compensation : 50-60$/Hr on C2C/1099 Work Authorization: GC, USC Position Summary We are seeking a seasoned Senior Product Manager to lead the strategic migration of our legacy contact center platforms (e.g., Avaya) to Amazon Connect, with a specific focus on healthcare payer operations. This role will be responsible for delivering scalable, cloud-native, and intelligent contact center solutions that enhance member and provider engagement, improve operational efficiency, and ensure compliance with healthcare industry standards. The ideal candidate will have a strong background in healthcare payer environments, deep experience with contact center technologies, and a proven ability to drive digital transformation initiatives in regulated industries. Key Responsibilities · Lead the end-to-end migration of legacy contact center systems (e.g., Avaya, Cisco) to Amazon Connect, from discovery and planning through execution and rollout. · Define and execute the product strategy and roadmap for contact center modernization, aligning with enterprise goals, user needs, and compliance requirements. · Collaborate with IT, telephony/voice infrastructure teams, business operations, clinical teams, and customer service leadership to define functional and technical requirements. · Serve as the primary voice of the customer (members, providers, internal users) in developing contact center features, IVR flows, routing logic, and integration with downstream systems (e.g., CRMs, case management tools, claims systems). · Evaluate and optimize customer journeys across voice and digital channels (chat, SMS, email), ensuring seamless and empathetic support experiences. · Leverage AWS ecosystem tools (e.g., Lex, Lambda, Connect Flows, Contact Lens) to enable smart routing, automation, sentiment analysis, and real-time analytics. · Develop and track key KPIs and performance metrics (e.g., average handle time, NPS, first call resolution, abandonment rates) to ensure quality and efficiency. · Own vendor relationships, contracting, and governance for telephony, transcription, workforce management, and analytics tools. · Champion agile methodologies, backlog prioritization, and sprint execution across cross-functional teams. · Drive change management, training, and adoption strategies across operational teams to ensure successful platform transition. Required Qualifications · 7+ years of product management experience, with at least 3 years leading initiatives in contact center platforms or voice automation within a healthcare payer setting. · Strong understanding of healthcare call center operations, including member services, provider support, care management, and utilization review. · Proven experience with Amazon Connect migration projects, including integration with AWS services, telephony architecture, and IVR design. · Solid knowledge of HIPAA, PHI handling, and security best practices in cloud communications. · Experience with voice UX, IVR design, and contact center reporting/analytics. · Strong business and technical acumen with the ability to translate complex requirements into clear user stories and product features. · Demonstrated success influencing cross-functional teams, executive stakeholders, and vendor partners. · Expertise in agile frameworks, especially SAFe or Scrum, and tools like JIRA, Confluence, and Productboard. Education · Bachelor’s degree in Computer Science, Information Systems, Healthcare Administration, or related field required. · Master’s degree or certifications in Product Management, Cloud Technologies (especially AWS), or Healthcare IT preferred. Preferred Experience · Direct experience with Amazon Connect, Avaya, Genesys, or Cisco telephony platforms and their migration to cloud-based environments. · Knowledge of CRM platforms (e.g., Salesforce, ServiceNow) and their integration into contact center ecosystems. · Experience designing omnichannel strategies across voice, chat, and digital self-service. · Familiarity with workforce management tools and quality assurance processes for contact centers. · Experience managing cross-market rollouts in multi-state health plans or Blue Cross organizations. Job Type: Full-Time Location: US (Remote/Hybrid – Preferred locations: Brillio Offices or St. Louis, MO) Industry: Healthcare / Health Insurance / Digital Transformation / Cloud Contact Centers

Job Description Title: Developer Location: columbus, OH Contract: 6 months to perm (the client does not sponsor unfortunately) Onsite: 4 days a week Interview process: 2 video to hire Relo: its fine 3 years of hands-on development using technologies that provide TypeScript driven user experiences, RESTful web services, incoming/outgoing file processing, and asynchronous event-based integrations. 3 years of hands-on Full Stack Cloud Native application development technologies like React and Angular. Relational databases/SQL like Amazon Aurora, MySQL, and PostgreSQL NoSQL databases like Amazon DynamoDB Nice to Have: 2 years of REST Service development and knowledge " Work independently and with minimal supervision " Possess an excellent understanding of the Software Development Life Cycle " Possess excellent analytical skill " Possess excellent communication skill " Experience in the banking industry especially in the payments business is preferred JOB DESCRIPTION We are looking for a Software Engineer/Developer for our AWS development team to work in our Digital Payments technology organization who can develop new capabilities like modularization, configuration driven enhancement, normalization (to support vertical and horizontal expansion of data model) etc. into our digital payment disbursement platform called ChoicePay. This platform provides administrators the ability to manage disbursements and allows payees to collect payments using their preferred payment method (PayPal, Venmo, ACH, Check, Gift Card, Debit Card, Zelle, etc). Responsibilities Be a FrontEnd Developer on all technology stacks within the Payment Disbursement portfolio while providing hands on delivery of new capabilities for an AWS Development Team Act in an individual contributor role on project teams, working with business analysts on requirements, writing technical design documents, development, testing support and implementation for small to mid-sized projects in adherence with latest trends in cloud based software and Huntington standards. Develop primary execution engine on AWS Lambda to support highly available and handles high volume payment origination, processing, disbursement, and settlement capabilities. Develop scalable and event based application using Amazon SQS and SNS. Build an efficiently executing application by continuously diagnosing logs and root causes of complex technical problems using AWS CloudWatch and AWS CloudTrail. Develop storage for containers using EC2 and data stores using DynamoDB and RDS PostgreSQL. Build adhoc reporting using QuickSight. Develop security capabilities like threat monitoring and alerting using AWS GuardDuty, blocking common web API threats using Amazon WAF and automate security checks using AWS SecurityHub. Develop seamless user experience using JavaScript, nodeJS, efficient content delivery using AWS CloudFront and build storage for application UI using Amazon S3. Develop APIs to communicate with UI using API Gateway. Configure end points and keys using AppSync and SecretsManager. Maintain high performance APIs using X-Ray. Integrate API logs with Splunk using Kinesis Firehose. Develop a robust User Management using AWS Cognito and KMS. Develop networking using VPC and continuous configuration management using AWS Config. Develop communication capabilities like notifications and system monitoring emails using SES. Build large data transfer capabilities using AWS TransferFamily. Awareness of Change Management and Incident Management knowledge using ServiceNow to implement changes to production. Has good knowledge of integration between internal applications using APIs and other communication techniques. Ensure that all development deliverables are completed including but not limited to sprint planning, backlog grooming, detailed design, development, unit/automated testing, defect fixes, implementation planning/execution, change controls, and production support/incident resolution. Continuously update development progress in completing deliverables using systems like ADO and Jira. Provide L3 production support 24/7/365 spread across the team. Display strong communication and collaboration skills frequently working with other enterprise IT and business partners on a daily basis. Learn the business processes, controls and workflows supported by each technical solution and fluently

Job DescriptionJob Title : Java Cloud Developer Location: Onsite – Jersey City, NJ / Charlotte, NC Duration: 6 Months Salary Range: $40.00 - $42.00/Hour on W2 (Without Benefits). Applicants must be willing to work on W2. Role Description • Seeking a highly skilled Java Cloud Developer with extensive expertise in Java 17, Spring Boot, and Amazon Web Services (AWS). In this role, you will design, build, and maintain scalable, high-performance microservices and cloud-native applications., • You will be responsible for modernizing legacy codebases, migrating architectures to the cloud, and ensuring robust system integration across our backend infrastructure.Experience Required:, • 6+ years in Java backend development, with 7+ years in Amazon Web Services (AWS) Cloud Computing..Essential Skills, • 6+ years of professional experience in Java backend development, with strong hands-on proficiency in Java 17, including concurrency, multi-threading, and stream APIs., • Deep expertise in Spring Boot 3.x and associated ecosystem projects., • Must have 7+ years of experience in Amazon Web Services (AWS) Cloud Computing, with proven experience implementing architectural solutions across core AWS services, including ECS, EC2, S3, DynamoDB, IAM, and Lambda., • Experience working in Agile/Scrum environments, actively participating in sprint planning, estimation, and code reviews.Skills Required:, • Java 17., • Spring Boot., • Amazon Web Services (AWS).Desirable Skills:, • Leverage AI-assisted tools like GitHub Copilot or Claude to maximize development efficiency and code quality., • Solid understanding of relational database management systems and SQL optimization., • Excellent problem-solving capabilities and clear communication to work in a multidisciplinary team., • Collaborate with other developers to achieve quality and consistency of deliverables., • Demonstrate resourcefulness, time management skills, and the ability to meet deadlines., • Excellent communication and interpersonal skills., • Excellent troubleshooting and problem-solving skills., • Ability to multitask and work independently.

Job Description JOB DETAIL Job Title Full Stack Developer (Java Angular) Job Location Jersey City, NJ (Onsite) Job Duration 6 Months Contract Employment Type W-2 Only Job Description We are seeking a skilled Full Stack Developer with strong hands-on experience in Java, Spring Boot, and Angular. The ideal candidate will be responsible for designing, developing, and maintaining secure, scalable, and high-performance web applications while collaborating with cross-functional teams to deliver quality software solutions. Key Responsibilities • Design, develop, and maintain applications using Java 8/21 and Spring Boot., • Build and maintain responsive web applications using Angular, preferably version 16.x., • Develop customized RESTful APIs and integrate back-end services., • Collaborate with UX/UI designers and cross-functional teams to deliver new features., • Ensure application performance, security, scalability, and responsiveness., • Identify and resolve performance bottlenecks, bugs, and technical issues., • Write clean, maintainable, and efficient code following development best practices., • Participate in code reviews and contribute to continuous improvement., • Support application deployment and maintenance using modern DevOps practices. Required Skills • Strong proficiency in Java 8/21 and Spring Boot., • Hands-on experience developing RESTful APIs and web services., • Strong experience with Angular, preferably version 16.x., • Experience with Angular Material, Angular CDK, TypeScript, JavaScript, HTML, and CSS., • Knowledge of RxJS and reactive programming., • Familiarity with Angular CLI, Webpack, and front-end build tools., • Experience with relational databases, SQL, and MySQL., • Basic understanding of Docker, Kubernetes, and DevOps practices., • Strong problem-solving, communication, and collaboration skills. Preferred Qualifications • Experience with microservices architecture., • Familiarity with AWS cloud services and Amazon EKS., • Knowledge of OAuth2, OpenID Connect, and application security best practices., • Experience with OpenTelemetry and application observability., • Familiarity with CI/CD pipelines, Git, and code quality tools such as ESLint and Stylelint., • Experience with unit testing frameworks such as Jasmine and Karma., • Knowledge of state management libraries such as NgRx., • Familiarity with Bootstrap, ngx-bootstrap, and ag-Grid., • Experience in performance optimization, debugging, and Agile development methodologies. Ideal Candidate: A hands-on Full Stack Developer with strong Java, Spring Boot, and Angular expertise, capable of building secure, scalable applications and delivering end-to-end solutions across front-end and back-end technologies.

Job DescriptionDescription: AI Cloud Engineer - RTH Location: Hybrid | Experience: 3-5 years | Function: AI Engineering & Cloud Platforms ABOUT THE ROLE We are seeking a GenAI Cloud Engineer to build and deploy enterprise-scale agentic AI solutions that support complex business workflows, decision support, operational intelligence, customer engagement, and other signal-to-action use cases across the enterprise. This is a hands-on engineering role responsible for designing, developing, and delivering production-grade AI agents using AWS Bedrock, Amazon Bedrock AgentCore, enterprise data products, semantic layers, and governed cloud-native architectures. You will implement agent runtimes, orchestration patterns, memory, tool integration, observability, evaluation, and guardrail capabilities while partnering with architects, data teams, product owners, and Responsible AI stakeholders. The ideal candidate has recent experience building enterprise agents, agentic RAG, multi-agent workflows, and secure integrations with business systems in regulated environments. KEY RESPONSIBILITIES Develop cloud-native microservices, APIs, and event-driven components using Python, JavaScript/TypeScript, FastAPI, AWS Lambda, EventBridge, and related AWS services. Build and deploy enterprise AI agents using Amazon Bedrock AgentCore, Bedrock models, AgentCore runtime services, AgentCore Gateway, agent registry patterns, and agent-to-agent communication where appropriate. Implement data ingestion, semantic retrieval, embeddings, vector search, knowledge graph, and memory pipelines that allow agents to consume certified data products, Denodo/USBIE sources, Bedrock Knowledge Bases, and governed enterprise content. Develop intent classification, tool routing, workflow orchestration, guardrails, policy checks, human-in-the-loop controls, and fail-safe escalation patterns for agentic applications. Integrate agents with enterprise systems and workflows such as Salesforce/Elevate, Service Platform, CaseView, Genesys, MAC/MPI, USBIE, Denodo, APIs, MCP tools, and event streams. Build evaluation, monitoring, tracing, and operational controls for agents, including quality metrics, hallucination and safety checks, latency, cost, feedback loops, and incident response readiness. Uphold enterprise standards for application security, IAM/agent identity, data protection, auditability, Responsible AI, ADS/data-product governance, observability, and production reliability. Stay current with AWS AgentCore, Bedrock, agent frameworks, model evaluation approaches, memory architectures, semantic data products, and enterprise agentic AI patterns. LEADERSHIP, MENTORING & INFLUENCE (ONLY FOR SENIOR 5-8 YEARS OF EXPERIENCE) Lead a workstream: Take technical ownership of a defined feature area or service - from design through production support - coordinating a small group of engineers where needed. Mentor engineers: Guide associate and mid-level engineers through code review, pairing, and design feedback; help them build GenAI and cloud skills. Contribute to architecture: Participate actively in design reviews, propose solution options with clear trade-offs, and help shape the patterns and standards the team adopts. Influence through delivery: Partner directly with product owners, architects, and business stakeholders to refine requirements and build credibility through working software. Improve the team: Identify and drive improvements in engineering practices, tooling, reusable components, and documentation; share knowledge through demos and internal write-ups. REQUIRED QUALIFICATIONS 3-5 years of software engineering experience, with hands-on delivery of cloud-native applications or AI/ML-enabled platforms. Strong proficiency in Python and JavaScript/TypeScript, including API development, asynchronous processing, test automation, and production debugging. Experience developing microservices, APIs, event-driven workflows, distributed applications, and secure integrations with enterprise systems. Hands-on experience with AWS cloud services, including serverless, container, messaging/eventing, IAM, observability, and cloud-native deployment patterns. Recent experience building enterprise GenAI or agentic AI solutions, including agents, agentic RAG, multi-step orchestration, chat experiences, or signal-to-action workflows. Experience with Amazon Bedrock, Amazon Bedrock AgentCore, or comparable enterprise LLM and agent runtime platforms. Experience with LangGraph, LangChain, Strands, MCP, A2A protocols, tool-use frameworks, or comparable multi-agent orchestration patterns. Experience with model evaluation, prompt engineering, agent quality testing, feedback loops, LLM-as-judge patterns, and reliability measurement. Experience with data ingestion, vector databases, embeddings, semantic search, knowledge bases, memory stores, and retrieval patterns for structured and unstructured data. Experience implementing AI guardrails, safety controls, intent classification, routing logic, access controls, audit logging, evaluation, and human escalation paths. Strong understanding of software engineering best practices, application security, Responsible AI expectations, data governance, scalability, resilience, and production operations. Experience mentoring engineers, leading technical delivery of a defined workstream, and collaborating with architects, product owners, data teams, and platform teams. PREFERRED QUALIFICATIONS Experience with event-driven and serverless architectures using AWS EventBridge, MSK, SNS/SQS, Step Functions, Lambda, API Gateway, and container services. Experience delivering AI or data products in financial services, insurance, or other regulated environments with privacy, compliance, audit, and control requirements. Familiarity with enterprise data products, semantic layers, Denodo, USBIE, ADS certification, knowledge graphs, Neptune/OpenSearch, and governed data consumption patterns. Experience integrating agents with CRM, service, telephony, document, workflow, or engagement platforms such as Salesforce, Genesys, Service Platform, MAC/MPI, or similar systems. IDEAL CANDIDATE You are a strong software engineer with recent enterprise GenAI and agentic AI experience who enjoys turning ambiguous business use cases into reliable, governed, production-ready agents. You understand that CNS agents must combine data products, signals, deterministic rules, LLM reasoning, memory, tool use, observability, and human controls. You can work across cloud architecture, data integration, AI orchestration, and production operations while raising the technical bar for the team. LEVELING: SENIOR VS. DEV Senior GenAI Cloud Engineer - 5–8 years. Owns architecture and technical direction for enterprise agentic AI capabilities, sets standards for AgentCore, data, governance, observability, and multi-agent patterns, leads complex multi-team initiatives, mentors senior engineers, and influences cross-team design decisions. GenAI Cloud Engineer - 3+ years. Hands-on technical contributor. Leads implementation of specific agent workstreams, contributes to AgentCore architecture and delivery patterns, mentors associate and mid-level engineers, and influences within the team through working software. Rate: $60-65/hr #LI-PP1

Job DescriptionJob Description: This role is to enhance the dynamic infrastructure our applications run on, and ensure stability, consistency and security of our Production systems. Requirements: • Bachelor’s Degree in Computer Science, Information Systems, or related field required., • 3 years of proven experience with Linux Administration, Windows Administration, and IIS Management. Deep understanding of IIS concepts and settings., • 3 years of experience with Amazon Web Services (AWS) – EC2, S3, CloudFormation, • Moderately experienced in: Bash, Powershell, Python, XML, Web concepts such as REST APIs and SPA, HTTP Get and Post, • Skilled with Development tools and methodologies, such as XML config files, Rest API calls, HTTP Headers and Response Codes, • Proven experience and understanding with Continuous Integration/Deployment Technologies: Atlassian Bamboo, Octopus Deploy, MSBuild, NUnit, GIT, Maven, Docker., • Must have passion for technology and focused on automation., • 3-5 Competency Based Principal Responsibilities and Essential Duties:% of timelevel, • Administer and build Development Continuous Integration pipelines of moderate complexity. Setup build plans, assist developers with failures and manage software configurations. Ensure end-to-end deployments succeed and AWS resources come up in an automated fashion. Provides input on Cloud environment setup and implementation plan.60B, • Support developers with server troubleshooting and application errors due to environmental issues. Debug Production Outages and take actions resulting from root cause analysis. Monitor Production Environment and take action to keep systems stable and running.30C, • Implement Production Migrations (off-hours) and provide off-hour support when needed to troubleshoot problems with mission-critical applications.5C, • Support developers with dev tools setup to enable application development, such as Git repositories or Monitoring tool configuration.5C

Mutually Human is seeking a Senior Forward Deployed Engineer who combines strong technical expertise with exceptional business acumen and consulting skills. You'll embed within client organizations to understand their operations, identify opportunities, and design and deliver AI, data, and software solutions that drive measurable business value. We're looking for someone equally comfortable leading business workshops, advising executives, and building production-ready technology solutions. Key Responsibilities • Client Engagement: Build trusted relationships with business and technical stakeholders, developing a deep understanding of client operations, challenges, and strategic objectives., • Consulting & Discovery: Lead workshops, technical assessments, and discovery engagements, translating ambiguous business challenges into actionable strategies and solutions., • Hands-On Engineering: Architect, prototype, and deploy AI, software, and data solutions, including LLM applications, RAG, AI agents, APIs, and enterprise integrations., • Solution Strategy: Develop technical architectures, recommendations, estimates, and implementation roadmaps aligned with business value and feasibility., • Delivery Ownership: Drive solutions from discovery through deployment and adoption, collaborating across engineering, consulting, and presales teams., • Continuous Improvement: Leverage AI-augmented development, contribute to reusable consulting methodologies, and proactively identify opportunities to deliver additional client value. Required Qualifications • 5+ years of experience in software engineering, AI/ML engineering, data engineering, or solutions architecture., • Exceptional communication, relationship-building, and stakeholder management skills, including experience engaging business leaders and executives., • Proven ability to facilitate workshops, lead discovery, and translate business challenges into technical solutions., • Strong hands-on experience with Python, SQL, APIs, cloud platforms (Azure, AWS, or GCP), and modern software development., • Experience developing production AI solutions using LLMs, RAG, agentic workflows, or intelligent automation., • Strong business acumen, consultative problem-solving skills, and ability to independently navigate ambiguity., • Experience delivering secure, scalable solutions from prototype through production. Preferred Qualifications • Background in technology consulting, forward deployed engineering, or client-facing solutions architecture., • Experience with Databricks, Microsoft Fabric, Snowflake, or similar enterprise data platforms., • Familiarity with LangChain, LangGraph, Semantic Kernel, Azure AI Foundry, or Amazon Bedrock., • Experience with AI-assisted development, enterprise integrations, and data governance., • Experience supporting presales, technical assessments, solution planning, or consulting engagements. The Ideal Candidate You're a hands-on engineer and trusted business advisor who thrives in ambiguity. You can lead a conversation with executives, uncover business opportunities, and turn those ideas into working solutions. You measure success by the business outcomes you deliver, not simply the technology you build.

Who We Are: SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connected Vehicle Services) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners – in the car, at home, and anywhere on the go with connected devices. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories and music they love wherever they are. This is where a diverse group of emerging talent and legends share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. Regardless of their role, each of our employees is vital in bringing SiriusXM’s vision to life daily. SiriusXM Media is the gateway for marketers to North America's most prominent digital audio advertising ecosystem. As the combined advertising revenue organization of SiriusXM Holdings Inc., SiriusXM Media spans across leading owned and operated audio platforms Pandora and SiriusXM; innovative ad tech solutions powered by AdsWizz; sonic creative consultancy Studio Resonate; and an extended content network featuring exclusive monetization agreements with Audiochuck, NBC Universal, SoundCloud, and many more. Reaching more than 150 million listeners each month, SiriusXM Media delivers audiences the tailored brand experiences they crave while putting creators first, making it easy for every marketer to produce, plan, buy and measure across its entire audio universe. AdsWizz, a subsidiary of SiriusXM, is the leading global provider of digital audio and podcast advertising solutions. AdsWizz is the underlying monetization solution for well-known music platforms, podcasts, and broadcasting groups worldwide, giving advertisers of all sizes unprecedented access to premium and niche audio content. Through dynamic ad insertion, advanced programmatic platforms, and innovative audio formats, AdsWizz efficiently connects buyers and sellers for digital audio and podcast advertising. AdsWizz is a global company with a presence in over 40 countries and a Technology Development Hub in Bucharest, Romania. How you’ll make an impact: As Senior Staff Data Engineer, you will join a highly performing team of engineers who build, own, and maintain backend services, data products and reporting applications. You will design, collaborate, and execute building the AdsWizz data products and reporting systems at scale while automating and providing insights into the data onboarding with the SXM Media and AdsWizz services. What you’ll do: • Design and build high-performance, reliable, and scalable reporting APIs and data pipelines., • Lead high-level architecture discussions and planning sessions work with ad measurement, revenue and addressability data., • Work with various teams of engineers building software in a collaborative development process., • Collaborate with the Product team to clarify the scope of the projects by giving thoughtful feedback which challenges and clarifies requirements intent., • Execute tasks with utmost clarity and precision, demonstrating a strong sense of ownership and providing clear direction to drive projects forward effectively., • Collaborate with the Global Operations and Cloud Infrastructure teams to ensure flawless production deployments and support the Incident Management team., • Responsible for mentoring and guiding junior engineers. What you’ll need: • 12+ years of software engineering experience in Python or Java programming language (preferably JDK17 or higher)., • 7+ years designing, building, and managing data pipelines using Spark, BigQuery, AWS EMR, and GCP Cloud Analytics., • 7+ years of experience crafting REST API based-microservices and scalable products, utilizing diverse cloud platforms (ideally AWS)., • Cloud data warehouse & analytics platforms (Snowflake, BigQuery)., • Observability tools like Prometheus, Grafana, ELK stack., • Data pipeline expectations framework experience (like Monte Carlo data, Great Expectations, Soda)., • Working with containers (Docker, Kubernetes)., • Messaging platforms and stream data processing (like Kafka, Flink, Pub/Sub)., • Collaboration tools like Miro (or Lucidchart), Jira and Confluence., • Strong understanding of engineering software processes, lifecycle methodology, configuration management, release management, and system verification and testing., • Ability to work independently and oversee entire projects or significant parts, focusing on research and completing the tasks on time., • Strong analytical and problem-solving skills, with meticulous attention to detail and a dedication to continuous improvement., • Nice to have expertise in Caching implementations (like Redis, Memcached, etc.)., • Nice to have expertise in Designing and maintaining Public APIs and data contracts., • Nice to have Security basics (e.g., OAuth2 standard)., • Nice to have Foundational Amazon Cloud Services, like S3, CloudTrail, SQS, SNS, Lambda, API Gateway, ElasticCache, Athena, Kinesis, EKS, Cognito, and others., • Nice to have NoSQL databases knowledge (Druid, DynamoDB, SingleStore, or others)., • Nice to have hands on experience with AI coding assistants and tools to help with coding and data analytics., • Bachelor’s Degree in Computer Science/Mathematics or a similar field., • Must have legal right to work in the U.S. Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws. The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.

Backend Software Engineer 3 Full-time Job Opportunity [No visa sponsorship available at this time] Remote work ***No Third Part or vendor resumes please Must have experience in enterprise or commercial software development and solution integrations. Must have a healthcare industry background to be considered for this role JOB SUMMARY Backend Engineers design, build, and maintain reliable software integrations that connect products, platforms, and systems across a variety of interfaces and technologies. In this role, they develop secure, scalable, and maintainable backend solutions while helping establish engineering standards, patterns, and best practices. The focus of this position is to integrate full-stack web applications with third-party software and platforms, including EMR/EHR systems, CRM technologies, telephony products, and AI applications. Engineers in this role will build and leverage real-time interfaces, as well as create data pipelines to move data between applications, databases, and data lakes. DUTIES AND RESPONSIBILITIES • Design, build, and maintain APIs, data services, and microservices that securely exchange data with internal systems and external partners., • Develop effective data models, data flows, and pipelines to support reliable storage, transformation, and transfer of data across systems., • Integrate third party systems and tools through real time custom or standardized interfaces., • Implement secure integrations with third-party platforms, SaaS products, and cloud-based services., • Collaborate with cross-functional technical and business teams to understand requirements and translate them into practical, maintainable engineering solutions., • Drive feature development from requirements refinement, design, implementation and maintenance. Providing sound architecture and alignment with established standards., • Contribute to a DevOps culture through automated testing, source control, deployment automation, monitoring, and continuous improvement of development and delivery processes., • Participate in code reviews, technical design discussions, and architecture decisions., • Continuously document code, technical designs, framework standards, data processes, and team practices., • Troubleshoot complex data, application, integration, and performance issues and develop sustainable solutions EDUCATION AND PROFESSIONAL EXPERIENCE • Bachelor’s degree in computer science, engineering or a related technical field., • 8 years of experience in enterprise or commercial software development and solution integrations., • Experience integrating with EMR/EHR systems like Athena, ECW and/or Epic, • Demonstrated experience developing data-intensive products using database technologies such as SQL Server, PostgreSQL and Cosmos., • Expertise in developing and integrating REST APIs, GraphQL interfaces, webhooks, web sockets and pub/sub technologies., • Strong SQL skills and the ability to design and code complex query logic and data transformation workflows., • Professional development experience with at least one procedural or object-oriented programming language, preferably including multiple languages such as Scala, Typescript, C#, Java or Python., • Experience with cloud platforms and data services, preferably within Azure and/or AWS environments., • Experience with source control and software development practices, preferably including Git and automated build/deployment processes., • Experience working with healthcare data. Additional experience that is beneficial includes: • Enterprise Data Warehouse, Data Lake, Big Data, unstructured data, or in-memory data store technologies., • NoSQL databases such as MongoDB, Cassandra or Cosmos DB., • Cloud-based data movement and management using technologies such as Azure Data Factory, Azure Blob Storage, Azure Service Bus, Kafka, Redis, Amazon S3, AWS Glue, Azure Automation, machine learning services, or Elasticsearch., • Distributed data processing technologies such as Spark or Hadoop. PROFESSIONAL COMPETENCIES • Software Engineering: Applies sound software engineering principles to develop clean, maintainable, testable, and scalable solutions. Able to work independently and develop complete and robust features., • Data Engineering: Demonstrates strong understanding of data ingestion, transformation, integration, storage, data quality, and data lifecycle management., • Database Expertise: Understands database architecture, SQL development, query optimization, indexing, data modeling, and performance tuning., • Cloud & Architecture: Effectively evaluates and applies cloud services, distributed architectures, object-oriented design principles, and resiliency patterns., • Problem Solving: Breaks down complex technical problems, evaluates alternatives, and develops pragmatic solutions based on business and technical requirements., • Delivery Focus: Prioritizes shipping useful, sustainable solutions while remaining aware of scalability, maintainability, and technical debt. Must be able to estimate work and adhere to negotiated schedules., • Collaboration: Works effectively with software engineers, data engineers, analysts, data scientists, architects, and business stakeholders., • Communication: Clearly communicates technical concepts, design decisions, risks, and recommendations in both written and verbal formats., • Ownership & Accountability: Takes ownership of individual work and contributes to shared team outcomes, including successes, challenges, and continuous improvement., • Documentation: Consistently documents code, designs, processes, standards, and technical decisions. Compensation: • Standard benefits (PTO, Medical, Dental etc.), • Salary - 130k - 135K, • SE3 has a 10% annual bonus.

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.

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.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using AWS services. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We work together with customer teams and

Location: Jersey City, NJ (Hybrid: 3 days in office, 2 remote) Compensation: $230K – $260K base • Offers Equity Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We're a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we're just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you're driven by the opportunity to build something groundbreaking, we'd love to meet you. THE TEAM At Sourgum, we're building the operating system for the waste and recycling industry—bringing transparency, standardization, and accountability to a historically fragmented space. We run Sourgum, our marketplace for commercial waste services, and Wayste, the software haulers use to run their businesses. Think Amazon Marketplace meets Uber, for waste. Our engineering team is small, senior, and built around our own agentic development pipeline: AI agents plan, build, test, and review our code, while engineers decide what to build, guide the work, and approve what ships. Every product we build is moving onto it, and we're just getting started. THE ROLE As a Staff Engineer, you'll take new features and products from zero to one across our whole stack, help advance the agentic development pipeline that builds our software, and help lead Sourgum and Wayste into the future of zero-waste tech. You'll partner with Product, customers, and haulers to decide what to build, then lead the engineering from top to bottom. You'll also be a major contributor to how we build with AI agents, bringing staff-level oversight and your own experience to the pipeline every engineer here ships through. This is a hands-on staff role. It's ideal for engineers who love taking products from idea to launch, enjoy working closely with the people who use what they build, and want to help define what an AI-native engineering team looks like. WHAT YOU'LL BE DOING • Partner with Product, customers, and haulers to take projects from idea to production, leading the engineering across the stack from top to bottom, • Build and ship new features and products across Sourgum and Wayste: web, mobile, backend services, and data, • Ship through our agentic development pipeline every day, directing and reviewing AI coding agents as they build, test, and ship code, • Be a major contributor to that pipeline: bring staff-level oversight to its architecture and quality, and push it forward with what you've learned building with agents, • Build AI into the product where it does real work for customers and haulers, with tested code making any change to money, orders, or dispatch, • Set technical direction and raise the engineering bar across a small, senior team, • Take ownership of outcomes, holding a high bar for execution and accountability THE QUALIFICATIONS YOU NEED • Typically 8+ years of professional software engineering, with a track record of promotions or growing scope, • Full-stack product experience—backend, frontend, databases, and cloud infrastructure—shipped to real users, • A track record of taking features or products from zero to one, • You build with AI coding agents (Claude Code, Cursor, Codex, or similar) every day and have helped make them reliable for a team: workflows, tooling, tests, or automated checks, • Production experience with LLM-powered features, and a clear way of measuring whether they work, • Experience working directly with customers or non-engineering users to decide what to build, • Comfort on a small team: you ship, review, deploy, and take on-call yourself, • Strong communication skills, with the ability to explain technical tradeoffs clearly NICE TO HAVE • Experience in marketplaces, logistics, field service, or fintech, • Mobile development with Flutter, • CI/CD, Kubernetes, and Terraform on AWS, • Evaluation and tracing tools (for example Braintrust, LangSmith, OpenTelemetry), • Model Context Protocol (MCP) servers and agent tool design, • Founding or early-engineer experience OUR STACK TypeScript/Node.js and Go services; React on the web; Flutter for mobile; PostgreSQL, Elasticsearch, and Redis; AWS (Kubernetes, Terraform); BigQuery and Metabase; Datadog. Our repo is set up for Claude Code, Cursor, and Codex. Benefits • Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth., • A positive and collaborative work environment with a focus on innovation and sustainability., • Flexible/Unlimited PTO, • Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K)., • Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub., • Yearly Personal Development Budget, • Opportunities for professional development and career advancement within a growing company.

/ no recruiters; direct applications only / The Company Ironmist is building the compliance infrastructure for the defense software. Our mission: replace broken, manual authorization processes with a platform that embeds security and compliance directly into how software is built - so defense companies and government teams can ship secure-by-design software to the warfighter faster, at the speed of relevance. We are a lean, venture-backed team of builders on a mission. About the Role We are looking for a highly capable and experienced Software Engineer with strong DevOps/DevSecOps, Infrastructure-as-Code and software engineering experience to join our lean, fast-moving defense technology company. This is not a traditional DevOps role where you will only maintain CI/CD pipelines or cloud infrastructure. You will have significant ownership of the environments that run our platform while also contributing directly to the application itself. Because we are a small startup, we need engineers who are comfortable working across boundaries. On any given week, you may be deploying cloud infrastructure, troubleshooting a production environment, improving a CI/CD pipeline, implementing security controls, or building a new product feature with the assistance of modern AI development tools. We move quickly, operate with a high degree of autonomy, and expect senior engineers to identify problems, develop solutions, and drive work through completion without requiring extensive direction. What You'll Do • Design, deploy, and maintain secure cloud infrastructure using Infrastructure as Code (IaC)., • Build and maintain infrastructure supporting development, testing, and production environments., • Develop and improve CI/CD pipelines and automated deployment processes., • Implement DevSecOps practices throughout the software development lifecycle., • Troubleshoot infrastructure, application, networking, container, and deployment issues across the stack., • Help design infrastructure and application architectures suitable for highly regulated and security-sensitive environments., • Automate repetitive operational and engineering processes., • Implement security controls, logging, monitoring, secrets management, and configuration management., • Review infrastructure and application changes for security, reliability, and maintainability., • Contribute directly to application development, including implementing new features and resolving defects., • Use AI-assisted development tools effectively to accelerate software development while maintaining engineering quality and appropriate review., • Evaluate new technologies and determine when they are appropriate for our architecture., • Take ownership of technical problems from initial investigation through production deployment., • Work closely with company leadership and other engineers to rapidly translate customer and mission needs into working software. What We're Looking For • Significant professional software engineering experience, including experience operating production systems., • Strong experience with Infrastructure as Code, such as Terraform, Pulumi, CloudFormation, or similar technologies., • Strong experience designing, deploying, and maintaining cloud infrastructure., • Experience with AWS and common cloud services including networking, IAM, compute, containers, databases, storage, logging, and secrets management., • Experience with containerized workloads using technologies such as Docker, ECS, or Kubernetes/EKS., • Strong understanding of CI/CD systems and automated software delivery., • Experience implementing secure development and DevSecOps practices., • Strong understanding of cloud security concepts including IAM, least privilege, network segmentation, encryption, secrets management, and audit logging., • Ability to troubleshoot complex systems across application and infrastructure boundaries., • Ability to read, understand, modify, and develop production application code., • Experience using AI-assisted software development tools and the judgment to validate, test, and improve AI-generated code rather than relying on it blindly., • Strong Git and code-review practices., • Ability to independently research unfamiliar technologies and quickly become productive., • Strong written and verbal communication skills. The Engineer Who Will Succeed Here Our environment is best suited for someone who is: • Self-directed. You do not need a detailed task list to make progress. You can take a problem, determine what needs to happen, and execute., • Hands-on. This is an engineering role. It means solving difficult technical problems, not coordinating the people who solve them., • Comfortable with ambiguity. Requirements can evolve quickly in an early-stage company, and you should be comfortable making sound technical decisions with incomplete information., • Pragmatic. You understand the difference between building something correctly and over-engineering it., • Security-minded. Security is part of the architecture and development process, not something added after deployment., • Fast without being careless. We often work on short timelines, but reliability, security, and maintainability still matter., • Curious. You are comfortable working outside your primary specialty when the problem requires it., • Accountable. When you own something, you follow it through deployment, validation, and resolution. Nice-to-Have Experience in one or more of the following areas would be particularly valuable: • AWS GovCloud, • Terraform and/or Pulumi, • Kubernetes / Amazon EKS, • Amazon ECS, • GitHub Actions, • FedRAMP, • NIST 800-53, • CMMC, • Department of Defense environments, • Zero Trust architectures, • Security automation or compliance-as-code, • AI/ML platforms such as Amazon Bedrock, • SaaS platforms deployed in both cloud-hosted and customer-managed environments, • Experience supporting government or defense customers Previous defense industry experience is helpful but is not required if you are comfortable learning the regulatory and security requirements associated with the environment. Security Requirements • U.S. citizenship is required., • Candidates must be eligible to obtain and maintain a U.S. Government security clearance., • Any additional program-specific access requirements will be discussed during the hiring process. Why Join Us You will join a lean product-first company where your work will have an immediate impact on both the product and the company. You will have the opportunity to influence architecture, infrastructure, security practices, development processes, and product capabilities rather than owning only one narrow portion of the technology stack. We are looking for someone who enjoys building, solving difficult problems, and moving quickly in an environment where strong engineers are trusted with meaningful ownership.

We are seeking an experienced Senior AWS Migrations Engineer to work alongside AWS Professional Services (ProServe) teams on a major enterprise-wide initiative to migrate and modernize a complex portfolio of legacy on-premises applications to AWS for a leading financial services institution. This is a highly technical, hands-on position in which you will work directly with application development teams as a dedicated cloud architecture advisor and migration engineer, providing end-to-end guidance on transitioning complex, high-throughput financial applications and databases to AWS. The ideal candidate brings 10+ years of technical experience, extensive hands-on AWS migration expertise, strong cloud architecture skills, and advanced proficiency with Infrastructure as Code (IaC), AWS CDK, and cloud automation. Role Details • Client: AWS Professional Services (ProServe), supporting large enterprise customers, primarily in financial services, • Employment Type: Full-time, permanent position (not contract; C2C and subcontracting arrangements are not considered), • Location: 100% Remote – United States, • Work Authorization: U.S. citizens or Green Card holders only; no current or future visa sponsorship, • Engagement: Long-term enterprise initiatives (12+ months), • Compliance: Certain financial services clients may require disclosure, transfer, or closure of personal trading and brokerage accounts to comply with trading policies Key Responsibilities • Application Assessment & Migration Strategy: Partner directly with application development teams to assess legacy architectures, map application dependencies, and determine appropriate migration approaches, including rehosting, replatforming, and refactoring., • Hands-on AWS Migrations: Execute complex migrations of enterprise applications, databases, and data flows from on-premises data centers to AWS, minimizing downtime and maintaining data integrity., • Cloud Architecture: Design secure, scalable, highly available AWS architectures optimized for demanding financial services applications, including high-throughput and latency-sensitive workloads., • Migration Execution & Cutover: Lead migration planning, technical cutovers, validation, troubleshooting, and post-migration performance optimization., • Database Migrations: Migrate enterprise databases to AWS-managed services, including Amazon RDS and Aurora, leveraging AWS DMS, AWS SCT, and related migration technologies., • Infrastructure as Code: Design, develop, and maintain reusable infrastructure using Terraform, AWS CloudFormation, and AWS CDK (Python or TypeScript), including multi-account and multi-environment deployment patterns., • Automation & CI/CD: Build and maintain deployment pipelines using GitLab CI, Jenkins, or AWS CodePipeline, developing automation scripts in Python, Bash, or Go., • Hybrid Cloud & Networking: Design secure connectivity between AWS workloads and existing on-premises environments, including VPC networking, Transit Gateway, DNS, load balancing, and hybrid integration., • Security & Compliance: Implement AWS security best practices, including IAM, RBAC, encryption, KMS, network security, and audit logging, ensuring alignment with financial services regulatory requirements., • Disaster Recovery: Implement highly available architectures, backup and recovery solutions, and multi-AZ or multi-region disaster recovery strategies., • Technical Advisory: Serve as a trusted technical advisor to application engineering teams, providing architectural guidance, hands-on troubleshooting, and migration best practices. Required Qualifications • Experience: 10+ years of professional experience in software engineering, infrastructure engineering, systems engineering, or cloud architecture, with extensive hands-on AWS migration experience., • Financial Services: Minimum 3 years of experience within financial services, including investment banking, retail banking, fintech, or financial market infrastructure., • AWS Engineering: Deep technical expertise across AWS services, including:, • Compute: EC2, ECS, EKS, Lambda, • Networking: VPC, Transit Gateway, Route 53, ELB/ALB, • Databases & Storage: RDS, Aurora, DynamoDB, S3, • Security & Monitoring: IAM, KMS, CloudWatch, CloudTrail, • Cloud Migrations: Proven experience migrating complex, production enterprise applications and databases from on-premises environments to AWS., • Infrastructure as Code: Advanced hands-on experience with Terraform and/or AWS CloudFormation, developing scalable, reusable infrastructure components., • AWS CDK: Strong development experience using AWS CDK with Python or TypeScript, including custom constructs, infrastructure architecture, and multi-account deployment patterns., • Migration Tooling: Practical experience with AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), or equivalent enterprise migration tools., • Automation & Scripting: Strong proficiency with Python, Bash, or Go for infrastructure automation, migration workflows, and operational tooling., • AWS Certification: Active AWS Certified Solutions Architect – Associate certification required; Professional certification preferred. Preferred Qualifications • Enterprise Database Migration: Experience migrating Oracle, SQL Server, or PostgreSQL databases to Amazon RDS or Aurora PostgreSQL, including schema conversion, stored procedure migration, and change data capture (CDC)., • Application Modernization: Experience modernizing legacy applications using containerization (Docker, ECS Fargate, EKS) or serverless architectures., • AWS Migration Services: Advanced experience with AWS DMS, AWS SCT, MGN, and large-scale migration automation., • DevOps & CI/CD: Strong experience implementing automated deployment pipelines, infrastructure validation, and cloud operational tooling., • Regulated Environments: Experience delivering cloud solutions in highly regulated financial services environments, including PCI-DSS, SOC 2, and enterprise data protection requirements., • Additional Certifications: AWS Certified Solutions Architect – Professional or AWS Certified DevOps Engineer – Professional., • Consulting Experience: Prior experience supporting AWS Professional Services or delivering large-scale cloud transformation programs for enterprise customers. Ideal Candidate Profile The ideal candidate is a Senior AWS Cloud Engineer, AWS Migration Engineer, or Cloud Solutions Architect with deep hands-on experience migrating mission-critical enterprise applications and databases to AWS. This individual should be equally comfortable designing cloud architectures and writing the infrastructure code required to implement them, with significant experience in Terraform, AWS CDK, Python automation, and enterprise database migration. Strong candidates will combine AWS architecture, hands-on cloud engineering, complex on-premises-to-AWS migrations, financial services experience, and the ability to collaborate directly with application development teams on large-scale modernization initiatives.

Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. Knowledge of AWS services including co

Do you want to help define the future of Go to Market (GTM) for Amazon Bedrock? In this role, you will define, build, and deploy targeted strategies to accelerate customer adoption of Amazon Bedrock across industry verticals. You will engage with product managers to influence product direction and help customers tap into new markets using Amazon Bedrock alongside other AWS services. Amazon Bedrock hosts a number of foundation models you will work directly with the model providers on joint GTM plans, joint customer engagements, external/internal evangelism, and demos and proof-of-concepts. Key job responsibilities include defining the go-to-market (GTM) strategy for Amazon Bedrock and leading cross-functional initiatives to expand existing markets, build scalable adoption programs, and identify new opportunities. Day to day this includes market sizing, partnering with counterparts across the globe to build an opportunity pipeline, working with customers to understand technical requirements, creating content to enable train field teams, driving industry thought leadership, working with product teams to define new features, and identifying partners. You will drive the GTM plan for scaling adoption of Amazon Bedrock, interact with customers directly to understand their business problems, and work with model providers and solutions architects to define and implement scalable GenAI solutions. You will also work closely with account teams and product teams to unblock and drive production implementations. The ideal candidate brings a business and technology background that lets you lead engagements with customers across segments from startups to multinational enterprises. You have domain expertise in Generative AI and key ML-powered use cases, and the technical depth to articulate the benefits of Amazon Bedrock and related GenAI services to data scientists and C-level business and technical executives. You understand GenAI market trends, ecosystem, and opportunities, and you are passionate about market development and evangelism. You partner well across AWS (product, solutions architecture, sales, marketing, professional services) and externally with customers and model providers. A day in the life will involve partnering with AWS service teams, field solutions architecture, sales, and marketing representing your team to executive management and working directly with AWS's top customers. You'll help companies and partners understand best practices for operating on AWS, and spot patterns and trends that can be applied broadly across an industry segment to accelerate innovation. About the team: Diverse Experiences AWS 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & 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. 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.

Bedrock Cloud Infrastructure Architect. We are seeking a hands-on Cloud Infrastructure Architect with direct experience building, deploying, and managing AWS infrastructure specifically to support Amazon Bedrock environments. AWS Cloud Infrastructure & Networking.

DevSecOps Engineering Lead Cloud Infrastructure, Security & Platform Reliability About 21X 21X is building the next generation of conversational AI. Our platform powers intelligent AI agents that communicate with customers through voice, SMS, RCS, email, and web—helping businesses automate conversations, execute workflows, and deliver exceptional customer experiences at scale. About the Role 21X is hiring a hands-on DevSecOps Engineering Lead to own and scale the cloud infrastructure, security, deployment automation, and production reliability of our conversational AI platform. This is a highly technical, implementation-intensive role. You’ll be responsible for designing infrastructure, writing automation, securing our environments, improving deployment pipelines, and ensuring our systems operate reliably at enterprise scale. You’ll work across our core backend services, real-time voice infrastructure, and customer-facing applications, supporting both containerized and serverless environments on AWS. Your strongest expertise should be in AWS, Terraform, Kubernetes, CI/CD, and cloud security—with the ability to independently design, implement, and operate production infrastructure. What You’ll Own You’ll take ownership of five interconnected areas: 1. AWS Cloud Infrastructure Design, build, and maintain the infrastructure supporting our conversational AI platform. Responsibilities include: • AWS account architecture, environment isolation, and networking, • Infrastructure provisioning and automation through Terraform, • IAM, workload identity, encryption, and secrets management, • Compute, storage, DNS, TLS, and load balancing, • Cloud resource optimization, capacity planning, and infrastructure scalability Technologies: AWS, Terraform, EKS, VPC, IAM, KMS, S3, Route 53, ACM, Secrets Manager. 1. CI/CD & Developer Infrastructure Build and maintain automated delivery systems that allow our engineering team to deploy software quickly, securely, and reliably. Responsibilities include: • CI/CD pipeline design and optimization, • Automated builds, testing, and deployment, • GitOps workflows and environment promotion, • Container image management and artifact security, • Self-hosted runners, build infrastructure, and release automation, • Deployment validation, rollback, and recovery Technologies: GitHub Actions, CircleCI, Docker, ECR, Argo CD, Kustomize, Helm, Actions Runner Controller. 1. Core Backend Infrastructure Ensure our backend services remain reliable, scalable, and operationally efficient. Responsibilities include: • Containerized backend deployments and runtime management, • API and background worker infrastructure, • Database connectivity, caching, and configuration management, • Environment upgrades, monitoring, and production troubleshooting Technologies: Python, Flask, Celery, MongoDB, Redis, Docker, ECS. 1. Real-Time Voice & AI Infrastructure Own the infrastructure supporting our real-time conversational AI and telephony platform. Responsibilities include: • Low-latency infrastructure for live AI voice conversations, • Kubernetes workload deployment, isolation, and scaling, • WebSocket connectivity, networking, and load balancing, • High-availability architecture and provider connectivity, • Safe deployments that account for active voice sessions, • Database, connection and recording storage management, • Monitoring and troubleshooting latency, resource contention, and service failures Technologies: EKS, Kubernetes, AWS Load Balancing, Aurora PostgreSQL, ElastiCache Redis, S3, TypeScript, Node.js, NestJS, WebSockets. 1. Customer-Facing Application Delivery Manage the secure and reliable delivery of our customer-facing web applications. Responsibilities include: • Secure frontend build and deployment pipelines, • Serverless infrastructure and release automation, • Environment configuration and secrets management, • Backend connectivity and application monitoring Technologies: Next.js, React, TypeScript, SST/OpenNext, AWS Lambda, CircleCI, GraphQL. What You’ll Do • Own cloud infrastructure. Design, provision, and operate secure, scalable AWS environments using Terraform and infrastructure as code., • Lead DevSecOps engineering. Build security directly into infrastructure, application delivery, and operational processes., • Operate Kubernetes environments. Manage EKS clusters, networking, autoscaling, resource scheduling, upgrades, and production troubleshooting., • Automate software delivery. Build and improve CI/CD pipelines, GitOps workflows, testing gates, container builds, and deployment automation., • Strengthen cloud security. Implement least-privilege access, workload identity, network controls, encryption, secret rotation, and vulnerability management., • Partner on application security. Work with engineers to improve authentication, authorization, tenant isolation, API security, and protection of sensitive customer data., • Improve production reliability. Build meaningful observability, monitoring, alerting, and incident response processes., • Optimize real-time performance. Diagnose latency, WebSocket failures, scaling bottlenecks, and infrastructure issues affecting live AI conversations., • Own disaster recovery. Establish and test backup, restoration, failover, and recovery procedures for critical systems., • Drive engineering efficiency. Improve cloud cost visibility, deployment speed, resource utilization, and platform maintainability., • Provide technical leadership. Review infrastructure changes, mentor engineers, document architectural decisions, and establish strong operational practices. Required Skills & Experience AWS & Infrastructure as Code • Extensive experience designing, building, and operating production AWS environments., • Advanced Terraform and HCL proficiency, including reusable modules, state management, imports, and safe infrastructure changes., • Strong knowledge of IAM, VPC networking, DNS, TLS, load balancing, encryption, and AWS security services. Kubernetes & Container Infrastructure • Strong production experience with Kubernetes, Amazon EKS, and Docker., • Experience managing cluster networking, upgrades, autoscaling, workloads, resource allocation, and storage., • Familiarity with Helm, Kustomize, Argo CD, or similar deployment tools., • Experience supporting containerized applications in distributed production environments. DevSecOps & Security Engineering • Demonstrated experience securing cloud infrastructure and software delivery pipelines., • Strong understanding of least-privilege IAM, Kubernetes RBAC, workload identity, secrets management, and network segmentation., • Experience implementing vulnerability scanning, dependency security, container security, and infrastructure security controls., • Knowledge of software supply-chain security, credential management, and secure deployment practices. CI/CD & Automation • Experience building and maintaining complex CI/CD pipelines using GitHub Actions, CircleCI, or comparable platforms., • Understanding of GitOps, container registries, reproducible builds, and automated release management., • Strong proficiency in Python and Bash for infrastructure automation and operational tooling., • Working proficiency with TypeScript/JavaScript., • Confidence working with HCL, YAML, JSON, and Dockerfiles. Linux, Networking & Reliability • Strong Linux administration and troubleshooting skills., • Deep understanding of DNS, TLS, HTTP, WebSockets, routing, and network connectivity., • Experience diagnosing performance issues across distributed systems., • Familiarity with PostgreSQL, Redis, MongoDB, and managed AWS database services., • Experience with monitoring, logging, incident response, and disaster recovery., • Ability to define service-level objectives and improve system reliability through measurable outcomes. Technical Leadership • Proven ability to independently own production infrastructure and deliver substantial technical improvements., • Experience leading incident investigations and implementing long-term corrective actions. Especially Valuable Experience Kubernetes & Cloud Infrastructure • Argo CD ApplicationSets, Karpenter, KEDA, Helm, and Kustomize., • AWS VPC CNI, Cilium/Hubble, ExternalDNS, and cert-manager., • AWS Load Balancer Controller, Global Accelerator, and EBS CSI. Cloud Security & Identity • GitHub OIDC federation., • EKS Pod Identity and IAM Roles for Service Accounts (IRSA)., • External Secrets Operator., • Cloud-native security scanning and vulnerability remediation., • Secure software supply chains and container image provenance. Developer Infrastructure • GitHub Actions Runner Controller and ephemeral runners., • Multi-architecture ARM64/Graviton container builds., • Container registry optimization and automated release workflows. Application & Data Operations • SST/OpenNext, AWS Lambda, and ECS., • Aurora PostgreSQL, ElastiCache Redis, and MongoDB., • Database migrations, connection pooling, backup restoration, and failover testing., • Python and Node.js runtime upgrades. Observability & Real-Time Systems • CloudWatch, Container Insights, Fluent Bit, and distributed tracing., • Real-time voice, telephony, streaming media, or other latency-sensitive systems., • Long-lived WebSocket connections and workload scaling., • High-availability systems with external provider dependencies. What Success Looks Like • Our AWS infrastructure is secure, reproducible, scalable, and managed through infrastructure as code., • Engineering teams can deploy software quickly and confidently through reliable, automated pipelines., • Infrastructure and application security are integrated into everyday engineering workflows., • Production services maintain high availability, predictable performance, and strong operational visibility., • Our real-time voice infrastructure supports increasing call volumes without compromising latency or reliability., • Security vulnerabilities are identified, prioritized, remediated, and verified., • Backup restoration, failover, and disaster recovery procedures are documented and tested., • Cloud infrastructure operates efficiently with strong cost visibility and resource management., • Engineers have the tooling, documentation, and processes needed to deploy and operate systems independently. IF THAT SOUNDS SOUNDS LIKE YOU, LET'S TALK!

About the role: Own the design, development, deployment, and quality of AI agents on AWS using Amazon Bedrock foundation models and Amazon Bedrock AgentCore. This hands-on engineering role requires direct experience building and deploying agents—not solely prompt design or the use of AI coding assistants. Work with client developers to establish a reusable reference implementation, deliver a five-template agent pilot, and transfer secure, testable engineering patterns that the client can sustain. What you will do at Sogeti: • Design and implement agents using Amazon Bedrock models and deploy them through AgentCore Runtime, using Strands Agents, LangGraph, or an appropriate custom framework., • Configure each agent archetype's instructions, context, tool definitions, orchestration, session handling, and structured result contracts; implement AgentCore Memory where persistent context is required., • Connect agents to enterprise APIs, AWS Lambda functions, and MCP tools using AgentCore Gateway and Model Context Protocol integrations as appropriate., • Implement least-privilege IAM permissions, secure credential handling, and agent authentication and authorization, using AgentCore Identity where appropriate., • Build the first golden agent template as the reference implementation for the other four, including configuration, deployment automation, documentation, and reusable integration patterns., • Build output verification, path and tool allowlists, schema validation, API contract tests, automated agent evaluations, and review-ready pull request structures. Define human approval points for sensitive actions., • Instrument agents using AgentCore Observability and Amazon CloudWatch to troubleshoot execution, tool calls, errors, latency, and token consumption., • Run the pilot tuning loop: analyze failures, evaluation results, and reviewer feedback; improve prompts, context, tools, templates, and model configuration against agreed acceptance criteria., • Automate repeatable AWS deployments with infrastructure as code and CI/CD; document environment configuration, operational procedures, and rollback approaches., • Pair with the client's API developer on templates 2 through 5 and transfer architecture, testing, troubleshooting, and operational knowledge. Success Criteria: • A working golden agent template deployed to the agreed AWS environment using AgentCore Runtime and Amazon Bedrock models., • Five reusable agent templates delivered with the client team, with documented configurations, tool interfaces, result contracts, and deployment instructions., • An automated verification and evaluation suite, with acceptance criteria and baseline measures for task success, output quality, latency, and token consumption agreed with the client., • Documented security controls, operational monitoring, troubleshooting guidance, and knowledge transfer enabling client developers to extend and maintain the agents. What you will bring (Required): • 5+ years building production APIs on AWS, including REST and at least one of GraphQL or event-driven architectures., • Demonstrated hands-on experience developing and deploying AI agents using Amazon Bedrock models and Amazon Bedrock AgentCore, including direct implementation experience with AgentCore Runtime., • Hands-on experience with at least one additional AgentCore capability: Gateway, Memory, Identity, or Observability. General familiarity with Bedrock or use of coding assistants alone does not satisfy the AgentCore requirement., • Strong Python and/or TypeScript development skills, AWS SDK experience, and experience implementing agent orchestration and tool calling with an agent framework or custom code., • Experience integrating agents with enterprise APIs and tools, including MCP-based integrations or AgentCore Gateway., • Practical AWS engineering skills with IAM, Lambda, API Gateway, CloudWatch, and services such as S3 or DynamoDB; ability to implement secure access and troubleshoot distributed applications., • Strong testing discipline: OpenAPI, unit and integration testing, contract tests, structured-output validation, and automated evaluation of agent behavior and generated code., • Experience with Git, pull request workflows, CI/CD, and infrastructure as code using AWS CDK, AWS CloudFormation, or Terraform., • Ability to explain agent architecture, security controls, behavior, and failure modes clearly, and to pair effectively with client engineering teams. What you will bring (Preferred): • Experience operating AgentCore-based agents in production, including incident troubleshooting, performance tuning, and cost optimization., • Experience across multiple AgentCore capabilities, including Memory, Identity, Gateway, and Observability., • Experience with Amazon Bedrock Knowledge Bases, retrieval-augmented generation, and Amazon Bedrock Guardrails., • Experience building MCP servers, multi-agent workflows, or agent-to-agent integrations., • Built reusable templates, scaffolding, or code generators adopted by other engineering teams; measured acceptance rates and compared agent configurations., • Hands-on use of Kiro, Claude Code, or similar coding agents in specification-driven or headless workflows beyond IDE autocomplete., • Experience with BMAD or similar specification-driven development methods. Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: • Flexible work options, • 401(k) with 150% match up to 6%, • Employee Share Ownership Plan, • Medical, Prescription, Dental & Vision Insurance, • Life Insurance, • 100% Company-Paid Mobile Phone Plan, • 3 Weeks PTO + 7 Paid Holidays, • Paid Parental Leave, • Adoption, Surrogacy & Cryopreservation Assistance, • Subsidized Back-up Child/Elder Care & Tutoring, • Career Planning & Coaching, • $5,250 Tuition Reimbursement & 20,000+ Online Courses, • Employee Resource Groups, • Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being, • Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | www.sogeti.us Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for this role is located in the job posting. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

The Amazon Web Services Professional Services (ProServe), Global Financial Services (GFS) Practice is seeking a skilled AI/ML Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities as an experienced technology professional include: • Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs, • Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services, • Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies, • Acting as a trusted advisor to customers on industry trends and emerging technologies, • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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. 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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & 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. 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. Basic Qualifications: • Experience implementing AWS services in a variety of distributed computing environments, • Experience developing software code in one or more programming languages (java, python, etc.), • 4+ years of cloud architecture and solution implementation experience, • 2+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience, • Bachelor's degree in computer science or equivalent Preferred Qualifications: • Experience and technical expertise (design and implementation) in cloud computing technologies, • Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience, • Experience in performance optimization and cost management for cloud environments, • Experience presenting technical solutions to diverse audiences in pre-sales environments, • Experience scripting for automation (e.g., Python, Perl, Ruby), • Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Engagement Manager For Amazon Web Services Professional Services. The Amazon Web Services Professional Services (ProServe) team is seeking a highly skilled and versatile Engagement Manager (EM) to join our team and lead the delivery of complex cloud solution projects. IT projects with external custo

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. You will lead customer-focused project teams as a technical leader, and perform hands-on development of ML solutions with exceptional quality. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities include: • Leading project teams and implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring, • Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads, • Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable, • Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models, • Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures, • Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts, • Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies This is a customer-facing role with potential travel to customer sites as needed. 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 AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. Basic Qualifications include: • 3+ years of cloud architecture and solution implementation experience, • Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3), • Experience implementing AWS services in a variety of distributed computing environments Preferred Qualifications include: • 5+ years of IT implementation experience, • Degree in advanced technology, or AWS Professional level certification, • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies, • Knowledge of security and compliance standards including HIPAA and GDPR, • Experience and technical expertise (design and implementation) in cloud computing technologies, • Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience, • Experience in performance optimization and cost management for cloud environments, • Experience presenting technical solutions to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. The Amazon Web Services Professional S

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using AWS services. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. AI-Native Delivery Transformation: Driv

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). The AWS Professional Services organization