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Job DescriptionAbout Client: The client is a global provider of digital business transformation, digital engineering, and information technology (IT) outsourcing services that accelerate our clients journey to their digital future. The company readily understands its clients' business challenges and uses its domain expertise to deliver innovative applications of technology to address their critical business challenges. It helps clients execute successful end-to-end digital business transformation initiatives. Rate Range: $60-$63/Hr Job Description: • We are seeking a Senior / Lead Engineer with 8 12 years of core engineering experience to join the Client Payments team supporting the Pay Edge Application., • The ideal candidate must possess genuine, practical hands-on experience in Kubernetes Ingress and traffic routing, combined with strong microservices engineering skills in Java and Spring Boot., • You will be responsible for designing resilient microservices, configuring secure traffic routing, and maintaining financial-grade performance standards., • Design, implement, and maintain production-grade Kubernetes Ingress controllers (NGINX, HAProxy, Traefik, Istio Gateway)., • Configure host-based and path-based traffic routing, load balancing, and reverse proxying for high-availability payment services., • Manage TLS/SSL termination, certificate rotation, and secure external/internal traffic boundaries., • Perform advanced troubleshooting on routing failures, HTTP 4xx/5xx errors, connectivity bottlenecks, DNS mapping, and controller issues., • Architect and build scalable, secure microservices using Java and Spring Boot., • Integrate asynchronous messaging and transaction streaming using Kafka., • Ensure compliance with financial-grade security, low-latency processing, and high-resiliency requirements., • Implement automated CI/CD deployment pipelines using Jenkins, GitLab CI, and Argo CD., • Deep hands-on production experience configuring, managing, and troubleshooting Kubernetes Ingress resources and controllers (NGINX Ingress Controller, HAProxy, Traefik, or equivalent)., • Practical experience with host-based and path-based routing, service exposure, reverse proxying, load balancing, TLS termination, certificate management, and security controls., • Strong hands-on development skills in Java and Spring Boot (Go or Python experience is also relevant)., • Hands-on experience managing TLS certificates and securing endpoints., • Real-world examples of diagnosing and resolving complex Ingress routing or controller incidents., • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization/orchestration tools (Docker, Kubernetes)., • Apache Kafka or equivalent enterprise messaging systems for event-driven architecture., • Hands-on experience with CI/CD pipelines (Jenkins, GitLab/GitHub Actions) and GitOps deployments using Argo CD., • Terraform and/or Ansible for automated infrastructure provisioning. Amazon Web Services (AWS) or enterprise cloud infrastructure. About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at compliance@aptask.com. Applicant Consent: By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.

Job Description Technical Leadership • Lead a team of full-stack developers and provide technical direction across the application lifecycle., • Design, develop and deployment of scalable cloud-native applications leveraging Python, AWS, AWS Textract, AWS Bedrock, Amazon S3, REST APIs, JSON, and GitHub., • Define architecture, coding standards, security controls, and development best practices., • Review solution designs and ensure alignment with enterprise architecture standards., • Conduct design reviews, code reviews, and technical mentoring sessions., • Design and develop scalable web applications using Python-based frameworks., • Build and integrate RESTful APIs and microservices., • Develop responsive frontend applications using modern JavaScript frameworks., • Drive API-first design and enterprise integration patterns.

Job DescriptionJob Title: DevOps / Platform Reliability Engineer Location: Tampa, FL / Atlanta, GA / Dallas, TX / Richardson, TX 75082 Contract Duration: 6 Months Work Mode: Hybrid Client Experience: 6 8 Years Job Summary We are looking for an experienced DevOps / Platform Reliability Engineer to build, automate, and maintain highly available and scalable cloud-native platforms. The ideal candidate should have strong hands-on experience with Docker, Amazon EKS, Grafana, Git/Version Control, Performance Tuning, and System Design. The role will focus on platform reliability, monitoring, observability, automation, scalability, and operational excellence. Must-Have Skills • Docker, • Amazon EKS, • Grafana, • Git / Version Control, • Performance Tuning, • System Design Key Responsibilities, • Design, build, deploy, and maintain highly available cloud-native platforms., • Manage and support Docker and Kubernetes-based environments, including Amazon EKS., • Develop and maintain monitoring and observability solutions using Grafana., • Implement and manage CI/CD pipelines and deployment automation., • Use Git and other version control systems for source code and infrastructure management., • Perform system and application performance tuning to improve reliability and scalability., • Design resilient and scalable platform architectures., • Automate infrastructure, deployments, and operational processes., • Monitor system health, troubleshoot issues, and support production environments., • Implement SRE practices focused on reliability, availability, scalability, and operational efficiency., • Collaborate with development, infrastructure, and application teams to improve platform performance and stability. Preferred Skills, • Kubernetes, • AWS Cloud Services, • CI/CD, • Infrastructure Automation, • Monitoring & Observability, • SRE Practices, • Cloud-Native Architecture, • Troubleshooting and Incident Management

Job DescriptionPay Rate Range: $ 53.03 - 60.60/hr. Job Description: -JAVA Developer for Enterprise Operationalization Seeking a full-stack developer to take a prototype built in GitHub Copilot or Kiro and transform it into a secure, scalable, and supportable enterprise application deployed in AWS. This role will be responsible for designing, developing, testing, deploying, and operationalizing the solution in alignment with enterprise architecture, technology, and information security standards. The ideal candidate will bring experience across front-end and back-end development, AWS cloud services, CI/CD pipelines, infrastructure as code, identity and access management, observability, and production support, with a strong emphasis on building solutions that are resilient, maintainable, and compliant in an enterprise environment. -Initial Project Scope: -Build a modern Learning Experience Platform (LXP) from the ground up to deliver a personalized, engaging, and scalable learning experience for employees and learners. Work closely with Product team to align with the product vision, core user journeys, and cross-functionally with design, engineering, content, and analytics teams to create a platform that supports discovery, recommendations, social learning, and measurable skill development. -Required Qualifications -Experience taking a prototype or proof of concept and transforming it into a production-ready enterprise application -Strong proficiency in full-stack development across front-end and back-end technologies -Proficiency with cloud infrastructure, ideally AWS, including services such as Amazon S3, Lambda, and Bedrock -Experience with containerization and orchestration technologies such as Docker and Kubernetes -Experience with infrastructure as code, such as Terraform, and CI/CD pipelines -Experience implementing enterprise authentication, authorization, and security controls -Experience with automated testing on both backend and UI layers -Familiarity with observability tools and practices, including logging, monitoring, and alerting -Strong experience using Git for version control, code review, and collaboration -Ability to translate business problems into technical solutions and communicate complex concepts clearly -Strong communication skills with a proactive, collaborative, and solution-oriented mindset -Preferred Qualifications -Proficient in AI-assisted coding tools such as GitHub Copilot, Claude Code, and Kiro -Good understanding of GenAI building blocks, including prompting techniques, agentic frameworks, evals, guardrails, RAG, embeddings/vector databases, model fine-tuning, graph databases with LLMs, MCP, and reasoning models -Knowledge of MLOps best practices -Experience modernizing prototypes into enterprise-grade applications in regulated or large enterprise environments -Prior experience supporting production applications through monitoring, incident response, and operational handoff -Experience documenting technical solutions, support procedures, and operational runbooks -Education Requirements: Bachelors in Computer Science or other related field -Years of Experience: 5 years Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNAdvanced Java ConceptsYes1>7 years

Job Description NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Data Engineer (w/ Oracle & OLTP) - On-Site to join our team in Plano, TX. Please note that this role will be on-site 5 days/week. Job Description: We are seeking a Senior Data Engineer to support the evolution of an enterprise customer profile platform and its integration with a broad ecosystem of applications. In this role, you will design, develop, and optimize data solutions, database platforms, and integration capabilities that power critical business processes and data assets. You will leverage cloud-native technologies, modern data engineering practices, and AWS and Snowflake capabilities to deliver scalable, reliable solutions that improve data accessibility, quality, and performance. Required Qualifications: 3+ years of Data Engineering experience. • 3+ years of hands-on experience with Oracle RDBMS, including SQL, PL/SQL, stored procedures, and query/performance optimization., • 3+ years of experience designing, developing, and supporting ETL and data integration solutions, • 2+ years of experience with messaging and event-driven technologies, such as Kafka, Amazon Kinesis, SNS, SQS, or similar platforms, • 2+ years of programming experience using Java and/or Python, with Java strongly preferred, • 1+ year of experience developing or supporting solutions in AWS cloud environments., • 2+ years of experience supporting Online Transaction Processing (OLTP) systems and high-volume transactional workloads. Preferred Qualifications: • Experience supporting production applications and data platforms, including troubleshooting and incident resolution, • Experience building and maintaining end-to-end data pipelines, • Experience with API-based integrations and distributed systems, • Experience developing scalable, high-performance data solutions, • Understanding of enterprise data architecture and integration patterns NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate. For candidates in both Plano, TX and Nashville, TN, the starting pay range is ($65.00 - $75.00/Hour). Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($65.00-$75.00/Hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. #LI-NorthAmerica

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Understand the full end to end development activities from design to go live for ETL development and Azure platform Recommend and execute improvements • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

Job Description Description: Direct Hire Hybrid schedule in Plano, TX Comp range: $150-180K 15% travel (including int'l) MUST BE US CITIZEN or GREEN CARD HOLDER (No C2C) JOB DESCRIPTION Architect the Future of Enterprise Intelligence The Senior Data Architect provides technical leadership across the company's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans traditional data management (DBMS, data modeling, warehousing, governance) and modern cloud native/AI data engineering on AWS, including bronze, silver, gold patterns, Generation (RAG) for LLMs, and data products that serve Cloud-native SaaS application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms • Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge., • Define storage/format strategies (e.g., Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost., • Implement row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations • Design datasets and feature/knowledge layers to support SageMaker training/inference and Amazon Bedrock applications (e.g., Knowledge Bases, Guardrails, Agents, and Invoke Model/Converse orchestration)., • Lead RAG architectures (chunking, embeddings, retrieval) using vector databases such as Amazon OpenSearch Serverless (vector search) or Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality., • Set prompt, context, and token budget standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence • Provide deep expertise in relational and NoSQL systems: SQL Server, PostgreSQL, MongoDB, including schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR., • Design and govern EDW/ Lakehouse/ODS patterns; integrate with .NET/C# services and Angular frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment • Define API and data contract standards (REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for .NET/C# and Angular consumers., • Orchestrate ingestion from SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g., MSK/Kinesis, DMS, Glue)., • Partner with Solution/Platform Architects to ensure microservices and event driven designs are data efficient and observability ready. Data Governance, Quality & Observability • Implement data governance (policies, stewardship, data classification), cataloging (Glue Data Catalog), lineage (Open Lineage compatible), and quality (rules, thresholds, SLAs/SLOs)., • Embed monitoring & cost governance (CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk • Enforce privacy and compliance (e.g., GDPR) with data minimization, tokenization, masking, and access controls across environments., • Define secure patterns for model inputs/outputs (LLM safety), prompt hygiene, and guardrails to prevent leakage or misuse. Delivery Leadership & Collaboration • Produce architecture blueprints, target state designs, and build/run guardrails; guide PoCs and pilots to derisk solutions., • Mentor data engineers, analysts, and junior architects; lead design reviews, threat modeling, and cost/performance reviews., • Communicate clearly with technical and nontechnical stakeholders, champion a culture of engineering excellence and learning. What You’ll Bring • This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship., • Bachelor’s or master's in computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g., AWS Data Analytics/Solutions Architect preferred)., • 10+ years designing and delivering enterprise data solutions, including hands-on work with both traditional DBMS and cloud native data platforms., • 5+ years building on cloud platforms with production experience in several of: S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker., • Demonstrated expertise implementing data propagation Lakehouse patterns and governance at scale., • Proven track record supporting AI/ML workloads (feature stores, model data pipelines) and delivering RAG solutions with vector search on AWS., • Strong SQL and Python; proficiency in data modeling - IFC (preferred), 3NF, dimensional/star, data vault, etc., • DBMS: SQL Server, PostgreSQL (schema, indexing, query planning, replication/HA, partitioning, backup/restore)., • Data Engineering: Spark/EMR, Glue (ETL/ELT & Studio), Airflow/Step Functions orchestration, Parquet/Delta/Iceberg., • Streaming/CDC: MSK/Kinesis, DMS (change data capture), event driven patterns., • Security & Governance: IAM, KMS, Lake Formation, Secrets Manager, data masking/tokenization, RBAC/ABAC., • AI/LLM enablement: Amazon Bedrock (Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval, prompt design, token optimization, evaluation loops., • Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs, cost controls (storage/compute), workload rightsizing., • DevOps/MLOps/IaC: Git, CI/CD for data pipelines; Terraform/CDK; environment promotion; artifact/versioning; blue/green or canary for data jobs. Preferred Skills • Experience with Redshift RA3/Spectrum, materialized views, workload management, and federated queries (Athena/Glue)., • Familiarity with Power BI / Microsoft Fabric and Amazon Quick Sight; semantic modeling and governance for BI., • Exposure to privacy enhancing technologies (anonymization, differential privacy), policy as code, and guardrail frameworks., • Experience working with geographically distributed teams and regulated data., • Strategic thinking with the ability to balance short-term increments and long term architecture., • Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment., • Mentoring mindset and demonstrated influence without authority across cross functional teams. System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: #208-Rowland Tulsa

Job Description Genesis10 is currently seeking a Quality Automation Engineer for a direct hire opportunity with a Major Financial Services Firm located in Plano, TX, Camas, WA, or Tampa, FL. No sponsorship is available for this position, US Citizenship or a Greencard are required. Pay range (WA): $85,000 - $135,000 per year Pay range (TX/FL): $70,000 - $110,000 per year The Quality Automation Engineer will partner with QA/QE, DevOps, and Functional teams to define, design, and enhance the automation framework. This role involves creating a robust set of automation tests that form the foundation of continuous delivery testing and maintaining these frameworks by coordinating test execution, training users, and providing support. Responsibilities: • Design and deliver automation and automation framework for products with a quality approach, • Design, develop, and configure QE tools to lead application development efficiencies and improve operational stability, • Foster the adoption of Test automation, Performance and Test data management tools and capabilities across Technology groups, • Work with Quality Engineering and App Dev Team Leads to define Quality Engineering processes, standards, and best practices, • Collaborate and implement strategies for DevOps and Integration teams to integrate Test automation suites as part of the CI/CD frameworks, • Meticulously examine and evaluate software applications to identify potential issues, defects or inconsistencies, • Work closely with developers, business analysts, product owners, and scrum masters throughout the development lifecycle, • Create, manage, analyze, and use test plans and test cases, • Identify, document, and report software defects, and track bugs, • Schedule and coordinate test execution, • Develop scripts and processes to increase automation of testing Requirements: • Bachelor's degree in MIS, computer science, or a related field required; advanced degree in a related field is a plus, • 3 years of experience with Salesforce, • 3 years of experience in software testing and test automation of web and API-based solutions, • 3 years of experience with automation and test data management tools such as ACCELQ, Ready API, NeoLoad, GenRocket, and Zephyr Scale, • 3 years of experience testing applications developed in various SDLC methodologies like Agile, • 3 years of experience building and maintaining test automation frameworks, • 3 years of experience with DevOps tools, such as Github, Jenkins, or Splunk, • 3 years of experience with scripting languages like Shell Scripting, Groovy, Python, Java, or JavaScript, and Atlassian tools like JIRA or Confluence, • 2 years of experience implementing BDD/TDD and relevant toolsets, • 2 years of experience with relational database management skills like MSSQL, MySQL, SQL, Postgres or MongoDB, • 2 years of experience integrating test automation frameworks with DevOps pipelines in private and public cloud platforms like Microsoft Azure, Google or Amazon AWS, • Experience in a regulated industry; financial services experience is a plus, • Ability to train IT product delivery teams and motivate peers on the proper use of Automation frameworks, • Ability to present to managers, technology, and business partners Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: • Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years., • The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years., • Access to an experienced, caring recruiting team (more than 7 years of experience, on average.), • Behavioral Health Platform, • Medical, Dental, Vision, • Health Savings Account, • Voluntary Hospital Indemnity (Critical Illness & Accident), • Voluntary Term Life Insurance, • 401K, • Sick Pay (for applicable states/municipalities), • Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job DescriptionPaladin Consulting is currently hiring a Sr. Technical Lead - SRE & Platform Engineering to join our team working onsite at our client's office located in Addison, TX. We work with companies that offer environments for our employees to contribute, learn, and advance their career. We treat you like you are part of the family. Job Title: Sr. Technical Lead - SRE & Platform Engineering Work Location: Addison, TX Duration: 6 month contract with option to hire Education/Experience Required: 8 years supporting enterprise applications, cloud platforms, infrastructure services, or web technologies; 3 years serving as a Technical Lead, Senior Engineer, Architect, or equivalent. Job Description : • Seeking a highly experienced Technical Lead SRE and Platform Engineering to provide technical leadership for the reliability, performance, security, observability, and operational management of enterprise platforms and modern web applications., • This role is ideal for a senior engineer, technical lead, or architect who enjoys solving complex technical challenges, mentoring engineers, and influencing technical direction while remaining hands-on. The position offers a clear growth path into a future Technical Manager SRE and Platform Engineering role as organizational needs and leadership responsibilities expand., • The Technical Lead will serve as a senior technical leader for Site Reliability Engineering (SRE), monitoring and observability, domain portfolio management, cloud platform operations, infrastructure automation, web application security, and application availability. The role will work closely with engineering teams in Dallas, Europe, and Asia Pacific to establish consistent operational standards, improve platform reliability, and drive technology modernization across global technology landscape., • The successful candidate will play a critical role in ensuring the reliability, performance, security, and operational health of externally facing digital platforms through ownership of key platform services including observability, domain services, DNS, certificate management, CDN technologies, web application firewalls, cloud platform infrastructure, and Infrastructure-as-Code (IaC) solutions., • This role offers a unique opportunity to work as part of a globally distributed engineering organization supporting mission-critical platforms and digital experiences used across international business operations., • The successful candidate will collaborate closely with engineering and operational teams located in Dallas, Texas (Corporate Headquarters), Europe Region, and Asia Pacific Region., • Through these partnerships, you will gain exposure to diverse technologies, operating models, and global business challenges while helping drive platform reliability, observability, security, and operational excellence across multiple markets., • This position provides the opportunity to work with globally distributed engineering teams operating in a follow-the-sun support model, influence platform strategy across multiple regions, partner with technical leaders worldwide, and develop toward a future Technical Manager role. Responsibilities : Technical Leadership • Provide technical leadership across Platform Engineering and Site Reliability Engineering functions., • Establish engineering standards, operational best practices, and reliability objectives., • Lead technical decision-making for cloud infrastructure, observability platforms, domain services, infrastructure automation, application security, and operational tooling., • Mentor engineers and provide technical coaching across multiple disciplines., • Drive technical roadmaps and continuous improvement initiatives., • Evaluate, promote, and help operationalize emerging engineering capabilities, including AI-assisted development tools, coding agents, Infrastructure-as-Code automation, and other technologies that improve engineering productivity, quality, and speed of delivery. Site Reliability Engineering (SRE) • Lead enterprise reliability initiatives focused on availability, scalability, resiliency, performance, and operational excellence., • Define and drive adoption of SLOs, SLIs, Error Budgets, Incident Management, and Root Cause Analysis., • Drive automation initiatives that reduce operational overhead and improve service reliability. Monitoring & Observability Platform Ownership • Serve as the technical owner for the enterprise monitoring and observability platform., • Support APM, infrastructure monitoring, synthetic monitoring, Real User Monitoring (RUM), centralized logging, and distributed tracing., • Define dashboards, alerting standards, operational metrics, and reporting. Domain Portfolio & DNS Management • Lead governance of the company's global domain portfolio., • Manage registrations, renewals, DNS services, certificate lifecycle management, and related vendor relationships., • Ensure domain-related services remain secure, compliant, and highly available. Cloud Platform Engineering, Automation & Edge Services • Provide technical leadership for AWS infrastructure, Kubernetes/EKS, CDN, DNS, SSL/TLS, load balancing, Web Application Firewalls (WAF), and edge security services., • Design and support Infrastructure-as-Code solutions using Terraform., • Establish standards for cloud provisioning, automation, and environment consistency. Infrastructure as Code & Terraform • Design, maintain, and optimize Terraform modules and deployment pipelines., • Promote automated provisioning, version control, testing, and infrastructure governance., • Drive reduction of manual deployment activities through automation. Web Application Security & WAF Administration • Administer and optimize AWS WAF and comparable WAF technologies., • Manage WAF rules, rate limiting, bot protection, IP reputation controls, and application-layer threat mitigation., • Partner with Information Security to improve web application protection capabilities. Modern Web Application Support & Troubleshooting • Serve as a senior escalation point for complex production issues., • Lead troubleshooting across client-side and server-side technologies., • Diagnose issues involving browser behavior, APIs, DNS, CDN, WAF, load balancing, networking, cloud infrastructure, and application performance., • Drive reliability, resiliency, and end-user experience improvements. Global Collaboration • Work closely with engineering teams across North America, Europe, and Asia Pacific., • Participate in technical reviews, architecture discussions, operational planning, and knowledge sharing., • Help evolve a follow-the-sun operating model. On-Call & Operational Support Responsibilities • Participate in scheduled on-call rotations supporting critical platforms and services., • Provide leadership during major incidents and after-hours escalations., • Support maintenance, upgrades, deployments, and disaster recovery activities. Skills & Qualifications : REQUIRED QUALIFICATIONS: • 8 years supporting enterprise applications, cloud platforms, infrastructure services, or web technologies., • 3 years serving as a Technical Lead, Senior Engineer, Architect, or equivalent., • Strong experience with AWS, Terraform, Kubernetes/EKS, DNS, CDN, AWS WAF, SSL/TLS, observability platforms, CI/CD, and SRE practices., • Experience troubleshooting large-scale customer-facing web applications. PREFERRED QUALIFICATIONS: • Experience managing global domain portfolios., • Experience with enterprise observability platforms and global support models., • Experience developing enterprise Infrastructure-as-Code frameworks and reusable Terraform modules., • Experience leveraging AI-assisted development tools and coding agents such as GitHub Copilot, Microsoft Copilot, Claude Code, Cursor, Amazon Q Developer, or similar technologies to accelerate software delivery, infrastructure automation, troubleshooting, and operational efficiency., • AWS, Terraform, Kubernetes, SRE, networking, security, or cloud certifications. For more information or to view other opportunities, visit us at www.paladininc.com. Paladin Consulting is an EEOC employer.

Job Description Who we are Over 600 employees strong, Asure sees Human Capital Management (HCM) through the lens of entrepreneurs and executives with an owner’s mentality. We help businesses develop their “Human Capital” to get to the next level, stay compliant, and allocate their time, money and technology toward growth. Our HCM platform empowers more than 100,000 clients to build great teams and better manage their people while staying compliant in an ever-changing HR legislative landscape. Asure’s HCM offering includes Payroll & Tax, HR, and Time & Attendance software and HR Services ranging from online compliance tools to a fully outsourced HR department. How you will contribute As an Associate AI Software Engineer, you will work alongside experienced engineers and AI practitioners to design, develop, test, and maintain AI-powered software that supports Asure's products and platform services. In this role you will primarily write Python and build features that integrate large language models (LLMs) and other AI services into real applications running in our AWS cloud environment. This role is designed for early-career engineers who are eager to grow by learning modern AI software development practices and contributing to business-critical applications. You will gain hands-on experience integrating LLMs, building the APIs and data pipelines that support AI features, and applying solid software engineering fundamentals — all with the guidance and support of a senior team, and with room to grow your skills over time. Much of this work supports Asure's agentic AI platform, which is designed to turn AI reasoning into reliable, real-world execution across payroll and HCM workflows — with human confirmation required before any sensitive action is committed. You will help build the tools and integrations that let AI systems take safe, well-scoped actions rather than simply generating text, working with modern agent architectures such as the Model Context Protocol (MCP) and human-in-the-loop patterns. Major Duties and Responsibilities: • Collaborate with engineers, product managers, and other stakeholders to build AI-powered software features that meet business and customer needs., • Write clean, maintainable, well-tested Python code for applications, services, and APIs that leverage AI and LLM capabilities., • Integrate large language models (LLMs) and AI services into software applications and business workflows, primarily within our AWS environment., • Assist with prompt design, experimentation, evaluation, and validation of LLM-based features under the guidance of senior engineers., • Contribute to the data pipelines and retrieval components (e.g., embeddings and vector search) that support AI features., • Participate in code reviews and incorporate feedback to improve software quality, AI solution effectiveness, and your own technical skills., • Assist with troubleshooting, debugging, monitoring, and resolving defects in AI-enabled applications and services., • Work with relational, NoSQL, and vector data stores to support AI-driven solutions., • Support the deployment and operation of AI applications and services in cloud (AWS) environments., • Participate in Agile development activities, including sprint planning, stand-ups, and retrospectives., • Follow software engineering and responsible AI best practices, and continuously develop your knowledge across Python, AI/LLMs, and cloud technologies with a curiosity and growth mindset. Required Qualifications • Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, Information Technology, or a related technical field., • Understanding of software development fundamentals, including object-oriented programming, data structures, algorithms, and software design principles., • Proficiency in Python — the primary language for this role — demonstrated through coursework, projects, internships, or personal development. Strong fundamentals in another modern language (e.g., C#, Java, or JavaScript/TypeScript) with the ability to ramp up quickly on Python are also welcome., • Foundational understanding of artificial intelligence, machine learning, or generative AI concepts, gained through coursework, certifications, projects, research, internships, or personal learning., • Understanding of large language models (LLMs) and basic prompt engineering concepts, and how they are applied in software applications., • Familiarity with APIs and web services., • Familiarity with at least one major cloud platform (AWS preferred; Azure or Google Cloud Platform also relevant)., • Basic understanding of data management concepts, including relational and NoSQL databases., • Experience using Git or other version control systems., • Strong problem-solving, analytical, and communication skills., • Ability to learn quickly and collaborate effectively in a team-oriented environment. Preferred Qualifications • Hands-on experience — through work, internships, co-ops, academic or personal projects, hackathons, or open-source contributions — building software that uses LLMs or other AI capabilities., • Experience building agentic AI features — including agent orchestration, tool/function calling, and the Model Context Protocol (MCP) — or with related frameworks and patterns such as LangChain, retrieval-augmented generation (RAG), vector databases, and embeddings., • Exposure to LLM platforms and services such as Anthropic, Amazon Bedrock, OpenAI, Azure OpenAI, or Google Gemini., • Hands-on experience with AWS, particularly its AI/ML and application services (e.g., Amazon Bedrock, SageMaker, Lambda, DynamoDB)., • Exposure to the Python data and ML ecosystem (e.g., Pandas, NumPy, and libraries such as PyTorch, TensorFlow, or Scikit-learn)., • Familiarity with RESTful APIs, web services, and third-party or system integrations., • Understanding of AI model and prompt evaluation, monitoring, governance, security, and responsible AI principles., • Familiarity with Agile methodologies, DevOps practices, automated testing, or CI/CD pipelines., • Exposure to data engineering, ETL pipelines, or analytics platforms., • Experience using AI-assisted development tools such as GitHub Copilot, Cursor, or similar. Compensation The starting salary for this position is $80,000 based on relevant experience, skills, and industry knowledge. Benefits • Medical, Dental, Vision, HSA, FSA- All effective on day 1!, • Company paid Basic Life Insurance, A+D, Long-Term Disability, and Short-Term Disability, • 401K Program with 3% safe harbor contribution, • Employee Stock Purchase Program, • Fitness Reimbursement Program, • Self-Managed PTO Our Mission To provide Human Capital Management (HCM) software and services that help companies grow, while nurturing a culture of growth around us. • Helping customers grow by getting the most from their human capital., • Helping our employees grow personally and professionally., • Growing relationships in our communities that inspire goodness., • Grow shareholder value Our Vision Be the most trusted Human Capital Management resource to entrepreneurs everywhere. Our Values Reflect who we are and what we stand for as a company. • Embrace Change, • Lead with Integrity, • Own the Outcome, • Deliver Awesome, • Be a Good Human We are an equal opportunity employer. All candidates must be legally authorized to work in the US, as we are unable to sponsor or transfer Visas at this time. NO AGENCIES PLEASE Any unsolicited resumes sent to Asure Software from a third party, such as an Agency, including unsolicited resumes sent to Asure’s mailing address, fax machine or email address, directly to employees or hiring managers will be considered Asure property. Asure will not pay a fee for any placement resulting from the receipt of an unsolicited resume.

Job DescriptionRequest ID: 114602-1 Title: Java Full Stack Developer Locations: 6565 Headquarters Drive , Plano , Texas 75024 Duration: 06 Months Pay Range: $55-$60/Hour on W2/C2C (All inclusive) NOTE: Preferred local candidates who can attend F2F • 3 to 4 days in office in Plano, • First round video call – TCS, • Second round in person Plano office – TCS, • Client round Role Descriptions: • JAVA Developer for Enterprise Operationalization Seeking a full-stack developer to take a prototype built in GitHub Copilot or Kiro and transform it into a secure, scalable, and supportable enterprise application deployed in AWS. This role will be responsible for designing, developing, testing, deploying, and operationalizing the solution in alignment with enterprise architecture, technology, and information security standards. The ideal candidate will bring experience across front-end and back-end development, AWS cloud services, CI/CD pipelines, infrastructure as code, identity and access management, observability, and production support, with a strong emphasis on building solutions that are resilient, maintainable, and compliant in an enterprise environment. Initial Project Scope: • Build a modern Learning Experience Platform (LXP) from the ground up to deliver a personalized, engaging, and scalable learning experience for employees and learners. Work closely with Product team to align with the product vision, core user journeys, and cross-functionally with design, engineering, content, and analytics teams to create a platform that supports discovery, recommendations, social learning, and measurable skill development. Required Qualifications: • Experience taking a prototype or proof of concept and transforming it into a production-ready enterprise application, • Strong proficiency in full-stack development across front-end and back-end technologies, • Proficiency with cloud infrastructure, ideally AWS, including services such as Amazon S3, Lambda, and Bedrock, • Experience with containerization and orchestration technologies such as Docker and Kubernetes, • Experience with infrastructure as code, such as Terraform, and CI/CD pipelines, • Experience implementing enterprise authentication, authorization, and security controls, • Experience with automated testing on both backend and UI layers, • Familiarity with observability tools and practices, including logging, monitoring, and alerting, • Strong experience using Git for version control, code review, and collaboration, • Ability to translate business problems into technical solutions and communicate complex concepts clearly, • Strong communication skills with a proactive, collaborative, and solution-oriented mindset Preferred Qualifications: • Proficient in AI-assisted coding tools such as GitHub Copilot, Claude Code, and Kiro, • Good understanding of GenAI building blocks, including prompting techniques, agentic frameworks, evals, guardrails, RAG, embeddings/vector databases, model fine-tuning, graph databases with LLMs, MCP, and reasoning models, • Knowledge of MLOps best practices, • Experience modernizing prototypes into enterprise-grade applications in regulated or large enterprise environments, • Prior experience supporting production applications through monitoring, incident response, and operational handoff, • Experience documenting technical solutions, support procedures, and operational runbooks, • Years of Experience: 5 years, • Education Requirements: Bachelors in Computer Science or other related field

Job Description Job Title: Enterprise AI Architect - GenAI / Agentic AI / RAG / AI Governance Location: Plano, TX (Local candidates only. Hybrid, 3 days onsite per week required.) Duration: Contract - 12 months Pay Range: $73.67/hr (W2) Job ID: 412083 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an experienced Enterprise AI Architect - GenAI / Agentic AI / RAG / AI Governance to serve as a senior AI architecture leader responsible for defining enterprise patterns, standards, and decision frameworks that guide the adoption of AI across Global Technology. The ideal candidate will demonstrate strong experience in AI platforms, agentic systems, retrieval architectures, model integration, workflow automation, and enterprise AI governance, with a proven ability to translate rapidly evolving AI capabilities into practical, scalable, and governed enterprise solutions while partnering closely with CIO architecture teams, platform engineering, security, and risk. Responsibilities: • Define enterprise AI architecture strategy, patterns, and reference architectures., • Establish decision frameworks for AI platform selection, solution design, and deployment approaches., • Develop governance models, standards, and guardrails for AI and agentic solutions., • Drive consistency and reuse through enterprise AI patterns, templates, and guidance artifacts., • Align AI architecture with enterprise security, risk, compliance, and control requirements., • Define architecture patterns for enterprise AI agents, multi-agent systems, and workflow automation., • Establish guidance for agent orchestration, planning, memory, tool invocation, and human oversight., • Drive standards for deterministic, probabilistic, and hybrid automation models., • Define integration patterns for agent-to-agent communication, tool usage, and enterprise workflows., • Guide adoption of emerging AI interoperability standards and architectures, including MCP where applicable., • Develop decision guidance for model selection, orchestration approaches, and AI solution architectures., • Partner with platform teams to align enterprise AI capabilities with business and technology needs., • Define patterns for RAG, vector databases, semantic retrieval, and enterprise knowledge architectures., • Guide architecture decisions for AI-ready data access, grounding, and contextual retrieval., • Guide architecture decisions involving AI Gateway, API Gateway, and MCP Gateway capabilities., • Embed security through architecture patterns covering identity, access, data protection, and policy enforcement., • Translate complex AI concepts into clear, actionable guidance for technical and business audiences., • Communicate effectively with senior stakeholders on business value, risk, operating models, and technology choices., • Act as a senior AI architecture leader driving alignment across multiple organizations and initiatives., • Promote responsible AI adoption through practical governance and architectural guardrails. Required Skills & Qualifications: • 15+ years in enterprise architecture, solution architecture, software engineering, or distributed systems design., • 8+ years architecting AI/ML, NLP, or advanced analytics solutions., • 2+ years designing enterprise GenAI, RAG, and agentic AI solutions., • Strong knowledge of LLMs, RAG, embeddings, vector databases, evaluation frameworks, and agent-based architectures., • Experience with enterprise AI platforms such as Microsoft Copilot Studio, Azure AI services, and Azure OpenAI or equivalents., • Familiarity with AI orchestration frameworks, workflow automation, and enterprise integration patterns., • Understanding of security, governance, privacy, and risk considerations for AI solutions., • Proven ability to influence senior stakeholders and drive architecture decisions in regulated environments., • Strong communication skills with the ability to simplify complex AI concepts and drive alignment across technical and business audiences. Preferred Skills: • Experience with agentic AI, multi-agent systems, MCP, and emerging AI interoperability standards., • Experience with Microsoft AI ecosystem capabilities including Copilot Studio, Azure AI Foundry, Azure OpenAI, and GitHub Copilot., • Experience with AWS AI services including Amazon Bedrock, SageMaker, and AI application architectures., • Knowledge of knowledge graphs, semantic search, vector databases, and enterprise retrieval architectures., • Experience defining AI governance, model lifecycle management, and responsible AI practices., • Experience operating in large-scale, highly regulated enterprise environments. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: • Competitive compensation and benefits., • Opportunities for growth with global clients., • A supportive, inclusive culture that values innovation and people., • Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Job Description Overview We are seeking a Senior Software Engineer to design, build, and manage the CQRE One Portal application and AWS cloud infrastructure. This role combines full stack development, cloud engineering, CI/CD automation, and AI-driven software delivery using AWS AIDLC, Kiro, and Amazon Bedrock. Key Responsibilities Develop and maintain full stack web applications using modern front-end and back-end technologies. Build and manage AWS cloud infrastructure and serverless solutions. Design and implement CI/CD pipelines and Infrastructure as Code (Terraform, CDK, or CloudFormation). Develop AWS Lambda-based data pipelines and integrations. Ensure application security, scalability, monitoring, and operational excellence. Leverage Kiro and Amazon Bedrock to support AI-driven development, testing, deployment, and continuous improvement. Required Skills 14 years of IT experience. 6 years of AWS experience (ECS/EKS, RDS, DynamoDB, S3, API Gateway, IAM, KMS). 3 years of full stack development with React/Angular and Node.js, Python, or Java. Experience with AWS AI-Driven Development Life Cycle (AIDLC), Kiro, and Amazon Bedrock. Infrastructure as Code experience (Terraform, AWS CDK, CloudFormation). Docker and CI/CD pipeline expertise. Python development experience with AWS Lambda and Step Functions. Strong understanding of cloud security, monitoring, and observability. Preferred Skills REST/GraphQL API development. OpenSearch/Elasticsearch. Amazon Bedrock or AI/ML integrations. Okta SSO configuration. Enterprise compliance and audit logging experience.

Job Description This role is based in Dallas, Texas. Unfortunately, we cannot consider any applicants who do not currently reside in the DFW area. Who we are Over 600 employees strong, Asure sees Human Capital Management (HCM) through the lens of entrepreneurs and executives with an owner’s mentality. We help businesses develop their “Human Capital” to get to the next level, stay compliant, and allocate their time, money and technology toward growth. Our HCM platform empowers more than 100,000 clients to build great teams and better manage their people while staying compliant in an ever-changing HR legislative landscape. Asure’s HCM offering includes Payroll & Tax, HR, and Time & Attendance software and HR Services ranging from online compliance tools to a fully outsourced HR department. How you will contribute As a Senior Software Engineer on our team, you will help the team in developing Cloud native applications, focusing on creating microservices for Tax. You will work closely with product owners, architects, and developers across the organization. You are up for the challenges of integrating greenfield development with existing infrastructure. Humble, passionate, collaborative, and entrepreneurial thriving in a dynamic and fast-growing tech company. Work with our team on some of the world's top tech as we innovate the HCM industry. You are a part of a product application development team working on Payroll & Tax, Time & Attendance, and Human Resources. Actualizing our product roadmap, you own technical output. Providing empathy for our user base and collaboration with peers across the organization with: software engineering teams, product managers, operations and our executive team. You support the growth and success of our business through best-in-class software products for our clients. Responsibilities • Design, develop and maintain event driven cloud native HCM software, • Develop and maintain full-stack applications using .NET Core/Framework for backend and modern JavaScript frameworks (such as Vue.js, React, or Angular) for frontend development., • Design and implement RESTful APIs and microservices that are secure, scalable, and well-documented, • Maintain customer focus and understand your team's charter, • Write and maintain unit, integration, and end-to-end tests to ensure code quality and prevent regressions, • Experience with application observability, Infrastructure as Code, and CI/CD tools, • Collaborate with your team on best practices, effective code reviewing and continual process improvements, • Contribute in scrum ceremonies including the daily stand up, backlog refinement, sprint planning, sprint retrospectives and sprint review. Our technology stack: React, Vue.js, .NET Core/Framework, Telerik, Kubernetes, Docker, Terraform, Cloud-based infrastructure using Amazon Web Services (AWS), MS SQL Server, DynamoDB, and PostgreSQL. Qualifications • Bachelor’s degree in computer science, software development related field, or similar work experience., • 8+ years of work history in full stack production engineering experience, in a SaaS software environment, • Experience with ORMs such as Entity Framework Core or Dapper, • Strong hands-on experience with .NET (Core/Framework) and cloud platforms (AWS preferred), • Experience designing and operating microservices in a container-orchestrated environment, • Familiarity with serverless architecture, • Frontend expertise with Vue.js, React, Angular, or any other modern JavaScript framework., • Working knowledge of Database like RDBMS, NoSQL, • AWS associate level certification is an advantage. Compensation The base salary range for this position is $120,000-$140,000, based on relevant experience, skills, and industry knowledge. Asure Software offers a variety of employee benefits. Salary information is determined by market location and is provided in accordance with state and local pay-transparency laws. Applicants should apply via www.asuresoftware.com/careers. Benefits • Medical, Dental, Vision, HSA, FSA- All effective on day 1!, • Company paid Basic Life Insurance, A+D, Long-Term Disability, and Short-Term Disability, • 401K Program with 3% safe harbor contribution, • Employee Stock Purchase Program, • Fitness Reimbursement Program, • Self-Managed PTO We are an equal opportunity employer. All candidates must be legally authorized to work in the US, as we are unable to sponsor or transfer Visas at this time. Criminal background checks conducted at employment offer. NO AGENCIES PLEASE Any unsolicited resumes sent to Asure Software from a third party, such as an Agency, including unsolicited resumes sent to Asure’s mailing address, fax machine or email address, directly to employees or hiring managers will be considered Asure property. Asure will not pay a fee for any placement resulting from the receipt of an unsolicited resume.

Job DescriptionCompany Description Jr. AI Developer Pay Rate: Up to $7699.43/M depends on experience Contract Period: 1 year (renewable) Work location: Plano, TX • Korean Bilingual preferred We are seeking a motivated Junior Generative AI & Agentic AI Developer to join our team in Plano, TX. This role focuses on designing, developing, and supporting AI-powered enterprise applications using Generative AI, Large Language Models (LLMs), and Agentic AI technologies. The ideal candidate will have hands-on experience or strong interest in building AI applications using LLM frameworks, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and cloud-based AI services. The candidate will collaborate with application developers, business stakeholders, and AI engineers to deliver intelligent automation solutions that improve enterprise productivity and business processes. This position is ideal for a fast learner who is passionate about emerging AI technologies and wants to grow expertise in Generative AI application development, AI agents, and enterprise AI solutions. Job Description ∙ Design, develop, and maintain Generative AI applications using Python and modern AI frameworks. ∙ Develop AI-powered enterprise solutions leveraging Large Language Models (LLMs), including OpenAI, Azure OpenAI, Amazon Bedrock, or similar AI platforms. ∙ Build Retrieval-Augmented Generation (RAG) solutions using enterprise data sources, vector databases, embeddings, and knowledge retrieval techniques. ∙ Design and develop Agentic AI workflows that enable autonomous task execution, reasoning, planning, and tool utilization. ∙ Develop AI agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar agent orchestration technologies. ∙ Perform prompt engineering and optimize LLM responses for accuracy, reliability, and business use cases. ∙ Integrate Generative AI capabilities into existing enterprise applications through REST APIs and backend services. ∙ Develop AI-powered chatbots, copilots, and intelligent automation solutions. ∙ Support integration of AI models with business systems, databases, and enterprise platforms. ∙ Design and implement API services using Python frameworks such as FastAPI or Flask. ∙ Develop data processing pipelines for AI applications, including data preparation, transformation, and indexing. ∙ Work with relational databases and vector databases to support AI knowledge management solutions. ∙ Support AI model evaluation, testing, monitoring, and continuous improvement. ∙ Assist with deployment and operation of AI applications in cloud environments. ∙ Participate in MLOps/LLMOps activities including CI/CD automation, model lifecycle management, and application monitoring. ∙ Collaborate with application developers, DevOps engineers, and business teams to deliver AI-driven solutions. ∙ Troubleshoot application issues and improve system performance and reliability. ∙ Document AI solutions, architecture, development processes, and operational procedures. ∙ Participate in Agile/Scrum ceremonies, sprint planning, and technical discussions. Qualifications ∙ Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent professional experience. ∙ Working knowledge of Python programming language. ∙ Understanding of Generative AI concepts, Large Language Models (LLMs), and AI application development. ∙ Experience or academic/project exposure with LLM-based application development. ∙ Understanding of Retrieval-Augmented Generation (RAG) architecture and AI knowledge retrieval concepts. ∙ Familiarity with prompt engineering techniques and LLM response optimization. ∙ Basic understanding of AI Agent concepts, including workflow automation, reasoning, and tool integration. ∙ Experience with REST API development and integration. ∙ Understanding of database concepts including SQL, data modeling, and data processing. ∙ Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. ∙ Exposure to AI/ML frameworks and libraries such as LangChain, PyTorch, TensorFlow, or similar technologies. ∙ Basic knowledge of software development practices including Git, version control, and code reviews. ∙ Understanding of DevOps concepts including CI/CD pipelines and containerization (Docker preferred). ∙ Experience working with Linux environments. ∙ Strong problem-solving skills and ability to learn emerging technologies quickly. ∙ Excellent verbal and written communication skills. Performance Expectations ∙ Develop and deploy enterprise Generative AI applications that improve business productivity. ∙ Build reliable AI Agent workflows capable of automating business processes. ∙ Design effective RAG solutions using enterprise knowledge sources. ∙ Improve LLM application accuracy through prompt engineering and evaluation. ∙ Create scalable AI application architectures and reusable AI components. ∙ Collaborate effectively with business users and technical teams to deliver AI solutions. ∙ Continuously learn and apply emerging AI technologies to enterprise use cases. Preferred Qualifications ∙ Experience developing enterprise Generative AI applications or AI automation solutions. ∙ Hands-on experience with Agentic AI frameworks such as LangGraph, AutoGen, CrewAI, or similar technologies. ∙ Experience with cloud AI services such as: -Amazon Bedrock -Azure OpenAI Service -AWS SageMaker -Azure AI Studio ∙ Experience with vector databases such as: -FAISS -ChromaDB -Pinecone -OpenSearch Vector Engine ∙ Experience building AI-powered chatbots, copilots, or intelligent assistants. ∙ Knowledge of Java/Spring Boot enterprise application development. ∙ Experience with enterprise system integration and application operations. ∙ English-Korean bilingual communication skills. Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Our client is a third-party logistics (3PL) company that provides warehousing, inventory management, order fulfillment, and shipping services to e-commerce businesses across the US and internationally. The company supports online retailers through services such as receiving, storage, pick-and-pack, order processing, and shipping. It works with major e-commerce platforms, including Shopify, Amazon, Walmart, and WooCommerce. Position Overview Our client is looking for an experienced and hands-on Warehouse Manager to oversee daily warehouse operations in Addison, TX. The Warehouse Manager will be responsible for managing the entire warehouse, including receiving, inventory, picking, packing, and shipping. This person will lead a team of approximately 10-15 employees and ensure orders are processed accurately and shipped on time. The ideal candidate should be a strong, organized, and disciplined leader who can manage employees, maintain productivity, and hold the team accountable for their performance. They should be comfortable taking ownership of warehouse operations and working independently with minimal supervision. Key ResponsibilitiesWarehouse Operations Manage daily warehouse activities, including receiving, storing, picking, packing, and shipping. Oversee the complete pick-and-pack process and ensure orders are accurate and shipped on time. Monitor daily order volume and make sure the packing team meets shipping deadlines. Maintain proper inventory levels and accurate inventory records. Identify and resolve delays or issues affecting warehouse operations. Keep the warehouse clean, organized, and safe. Team Management Manage and supervise a team of approximately 10-15 warehouse employees. Assign daily tasks and ensure employees meet productivity and performance expectations. Manage employee schedules, attendance, and staffing requirements. Hire, train, and develop warehouse employees. Address performance issues and take corrective or disciplinary action when needed. Build a reliable, productive, and accountable warehouse team. Systems & Technology Use Warehouse Management Systems (WMS) to manage inventory, track orders, and monitor warehouse activities. Experience with ShipHero or Warehance is highly preferred. Use AI tools to help solve operational problems and improve warehouse processes. Work with the customer service team to resolve order issues, shipping delays, and inventory discrepancies. Performance & Process Improvement Monitor order accuracy, picking and packing productivity, and on-time shipping. Find ways to improve warehouse efficiency and reduce errors. Ensure the warehouse has enough employees and resources to handle daily workloads. Develop and maintain efficient warehouse processes and workflows. Required Qualifications Previous experience managing warehouse operations, preferably in a 3PL or e-commerce fulfillment environment. Strong hands-on experience with pick-and-pack operations is required. Experience managing a team of at least 10-15 warehouse employees. Good understanding of receiving, inventory control, picking, packing, shipping, and order fulfillment. Experience using WMS software. ShipHero or Warehance experience is a strong plus. Comfortable using AI tools to troubleshoot problems and improve daily operations. Strong leadership and team management skills. Ability to hold employees accountable and handle performance or disciplinary issues. Strong organizational, communication, and problem-solving skills. Must be able to work on-site in Addison, TX, approximately 40-45 hours per week. First 90-Day Expectations Within the first 90 days, the successful candidate should be able to: Ensure the warehouse is properly staffed and daily schedules are managed. Establish clear and efficient warehouse processes. Ensure customer orders are processed accurately and shipped on time. Improve picking and packing productivity. Reduce order errors and operational delays. Build a reliable team that can handle daily warehouse activities with minimal supervision. \nCompany Description W3Global was established in 2006 in Fremont, CA with a vision: simplify the recruiting process and develop an industry-disrupting platform to connect candidates with clients. Our cutting-edge Applicant Tracking System enables us to find the right person for the right job, creating value for job seekers and employers. While W3Global initially focused on IT staffing, we have expanded the business to serve many other industries, including accounting and finance, legal, engineering, human resources, government and more. We’re proud of the investments we’ve made in our team, having grown from four to 1000 employees and evolving into one of the leading recruitment and staffing solution providers in the industry. Our recruiters and account managers are passionate about connecting qualified professionals with the right positions in small, medium, and large companies. Our Services W3Global understands the natural ups and downs of an organization’s staffing needs. We are continuously adapting to industry and economic changes to find the right candidates. We specialize in placing permanent, direct, contract, and temporary positions for companies of any size. Our recruiting services include sourcing, recruiting, screening, interview management, salary negotiations, training, and onboarding. We are committed to helping organizations redefine their recruitment process by delivering our SaaS-based proprietary application tracking system software. Our Expertise W3Global has been delivering staffing solutions for nearly two decades; we know which recruiting strategies work best. Our expert team is committed to developing a customized solution to fit your company’s unique needs. As a W3Global client, you’ll also receive personalized assistance from a seasoned team of staffing specialists. We are committed to providing both technical support and industry expertise to simplify the hiring process. We know that your time matters. W3Global will help you streamline the hiring process, getting it done and getting it right. W3Global was established in 2006 in Fremont, CA with a vision: simplify the recruiting process and develop an industry-disrupting platform to connect candidates with clients. Our cutting-edge Applicant Tracking System enables us to find the right person for the right job, creating value for job seekers and employers. While W3Global initially focused on IT staffing, we have expanded the business to serve many other industries, including accounting and finance, legal, engineering, human resources, government and more.\r\n\r\nWe’re proud of the investments we’ve made in our team, having grown from four to 1000 employees and evolving into one of the leading recruitment and staffing solution providers in the industry. Our recruiters and account managers are passionate about connecting qualified professionals with the right positions in small, medium, and large companies.\r\n\r\nOur Services\r\nW3Global understands the natural ups and downs of an organization’s staffing needs. We are continuously adapting to industry and economic changes to find the right candidates.\r\n\r\nWe specialize in placing permanent, direct, contract, and temporary positions for companies of any size. Our recruiting services include sourcing, recruiting, screening, interview management, salary negotiations, training, and onboarding.\r\n\r\nWe are committed to helping organizations redefine their recruitment process by delivering our SaaS-based proprietary application tracking system software.\r\n\r\nOur Expertise\r\nW3Global has been delivering staffing solutions for nearly two decades; we know which recruiting strategies work best. Our expert team is committed to developing a customized solution to fit your company’s unique needs.\r\n\r\nAs a W3Global client, you’ll also receive personalized assistance from a seasoned team of staffing specialists. We are committed to providing both technical support and industry expertise to simplify the hiring process. We know that your time matters. W3Global will help you streamline the hiring process, getting it done and getting it right.

Job Description Job Requirements We are seeking a Senior / Lead Engineer with 8 12 years of core engineering experience to join the Banking Payments team supporting the Pay Edge Application. The ideal candidate must possess genuine, practical hands-on experience in Kubernetes Ingress and traffic routing, combined with strong microservices engineering skills in Java and Spring Boot. You will be responsible for designing resilient microservices, configuring secure traffic routing, and maintaining financial-grade performance standards. Design, implement, and maintain production-grade Kubernetes Ingress controllers (NGINX, HAProxy, Traefik, Istio Gateway). Configure host-based and path-based traffic routing, load balancing, and reverse proxying for high-availability payment services. Manage TLS/SSL termination, certificate rotation, and secure external/internal traffic boundaries. Perform advanced troubleshooting on routing failures, HTTP 4xx/5xx errors, connectivity bottlenecks, DNS mapping, and controller issues. Architect and build scalable, secure microservices using Java and Spring Boot. Integrate asynchronous messaging and transaction streaming using Kafka. Ensure compliance with financial-grade security, low-latency processing, and high-resiliency requirements. Implement automated CI/CD deployment pipelines using Jenkins, GitLab CI, and Argo CD. Deep hands-on production experience configuring, managing, and troubleshooting Kubernetes Ingress resources and controllers (NGINX Ingress Controller, HAProxy, Traefik, or equivalent). Practical experience with host-based and path-based routing, service exposure, reverse proxying, load balancing, TLS termination, certificate management, and security controls. Strong hands-on development skills in Java and Spring Boot (Go or Python experience is also relevant). Hands-on experience managing TLS certificates and securing endpoints. Real-world examples of diagnosing and resolving complex Ingress routing or controller incidents. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization/orchestration tools (Docker, Kubernetes). Apache Kafka or equivalent enterprise messaging systems for event-driven architecture. Hands-on experience with CI/CD pipelines (Jenkins, GitLab/GitHub Actions) and GitOps deployments using Argo CD. Terraform and/or Ansible for automated infrastructure provisioning. Amazon Web Services (AWS) or enterprise cloud infrastructure. Work Experience 7-10Years

Job DescriptionTechnical Solution Architect -Salesforce Service Cloud POSITION SUMMARY:We are seeking a highly technical, hands-on Salesforce Service Cloud Technical Architect to lead the architecture, development, and telephony integration of our customer service platform. This is a deep engineering role: the successful candidate will spend a significant portion of their time writing and reviewing production-grade code while owning the end-to-end technical design of Service Cloud solutions integrated with cloud telephony (CTI) — preferably Amazon Connect / Service Cloud Voice — and modern AWS services.Beyond core platform work, this role is responsible for building AI-powered service experiences on Salesforce (Einstein / Agentforce and externally hosted LLMs), standing up and configuring Salesforce MCP (Model Context Protocol) servers to safely expose Salesforce data and actions to AI agents, and directly managing a team of developers — setting technical direction, allocating work, and being accountable for the team's delivery and quality. Responsibilities: Hands-On Development & Technical Architecture (40%): • Personally design and write complex, production-grade Apex (classes, triggers, batch, queueable, scheduled, and future/async patterns), Lightning Web Components, and SOQL/SOSL — this role codes daily and is expected to set the coding bar for the team., • Own the end-to-end technical architecture for Service Cloud initiatives, from requirements through deployment, including data model, integration design, and scalability for large data volumes., • Enforce test-driven development, high Apex test coverage, secure coding practices, and strict adherence to Salesforce governor limits and platform performance standards., • Build and maintain complex integrations using REST/SOAP APIs, Platform Events, callouts, streaming, and middleware., • Design automation with Flow Builder and custom business logic, and lead technical-debt reduction and refactoring efforts. CTI & Telephony Integration (20%): • Design, implement, and support Computer Telephony Integration (CTI) on Service Cloud, preferably using Amazon Connect and Salesforce Service Cloud Voice., • Build and maintain call flows, softphone integrations, screen pops, omni-channel routing, real-time transcription, and call-recording integrations., • Integrate telephony events and contact data between Amazon Connect and Salesforce, ensuring reliability, low latency, and accurate reporting., • Troubleshoot production voice/CTI issues across the Salesforce and AWS boundary. AI Integration & MCP Configuration (20%): • Design and build AI-powered service experiences using Salesforce AI (Einstein for Service, Agentforce, Prompt Builder, Einstein Trust Layer) and/or externally hosted LLMs invoked via API., • Configure, deploy, and secure Salesforce MCP (Model Context Protocol) servers to expose Salesforce data, objects, and actions to AI agents and copilots in a governed, permissioned way., • Implement grounding, retrieval, prompt orchestration, guardrails, and monitoring for AI features, with strong attention to data security and the Einstein Trust Layer / equivalent controls., • Build proof-of-concepts and production integrations that connect Salesforce, AWS AI services, and LLM providers. Team Leadership & Developer Management (20%): • Directly manage a team of Salesforce developers — assign and prioritize work, set technical direction, review code, and hold the team accountable for quality and delivery., • Own performance management, mentoring, career development, and technical hiring for the development team., • Establish and enforce development best practices, coding standards, branching strategy, and documentation., • Partner with product managers, business analysts, QA, and support teams; drive refinement, estimation, sprint planning, release planning, and post-release validation., • Communicate technical trade-offs, risks, and timelines clearly to both technical and non-technical stakeholders. Required Qualifications: • Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent work experience., • 7+ years of hands-on Salesforce development experience, with at least 4 years focused on Service Cloud and a demonstrable record of writing complex production code (this is not a hands-off role)., • Expert-level proficiency in Apex, Lightning Web Components, asynchronous/batch processing, and SOQL/SOSL, including performance tuning and governor-limit optimization., • Proven, hands-on experience implementing CTI on Service Cloud, preferably Amazon Connect and/or Salesforce Service Cloud Voice., • Hands-on experience with a modern AWS technology stack (e.g., Lambda, API Gateway, S3, EventBridge, DynamoDB, CloudWatch, IAM, and Amazon Connect)., • Experience building AI integrations with Salesforce (Einstein / Agentforce, Prompt Builder, or LLM-backed features via API)., • Experience configuring and securing MCP (Model Context Protocol) servers for Salesforce, or strong, demonstrable ability to do so., • Experience managing or leading a team of developers, including code review, work allocation, and delivery accountability., • Strong DevOps discipline: Git, CI/CD pipelines (Jenkins, GitHub Actions, or equivalent), and automated testing., • Excellent written and verbal communication skills. Preferred Qualifications: • Salesforce certifications, especially Platform Developer II, plus Service Cloud Consultant, Application/System Architect, or AI Specialist., • AWS certifications (e.g., Solutions Architect, Developer Associate)., • Experience with Salesforce MIAW (Messaging for In-App and Web), CTI adapters, and Service Cloud Voice partner telephony., • Hands-on experience with LLM providers (e.g., Anthropic Claude, OpenAI, Amazon Bedrock) and agentic/tool-calling patterns., • Web development skills (JavaScript, TypeScript, HTML5, CSS3, React)., • Experience with agile methodologies and project management tooling., • Contact center / customer service domain experience., • Familiarity with enterprise integration platforms (MuleSoft, Dell Boomi) and data migration/ETL tooling. Required Skills & Abilities:Technical Expertise (Deep, Hands-On): • Expert command of Apex, LWC, Aura, triggers, batch/queueable/scheduled/async patterns, and Lightning App Builder., • Deep understanding of Service Cloud: case management, knowledge, omni-channel, service console, and Service Cloud Voice., • Strong knowledge of the Salesforce security model — sharing rules, profiles, permission sets, field-level security — applied to both platform features and AI/MCP access., • Solid data modeling skills, including custom objects, relationships, and large-data-volume considerations. CTI, AWS & AI: • Practical experience integrating Salesforce with Amazon Connect for voice, routing, transcription, and recording., • Working knowledge of core AWS services and event-driven, serverless architecture patterns., • Ability to design AI features responsibly: grounding, prompt orchestration, guardrails, evaluation, and monitoring, with strong data-security controls., • Ability to configure Salesforce MCP servers and expose scoped, governed tools/actions to AI agents. Integration & Architecture: • Proven ability to design and implement complex integrations using REST/SOAP APIs, Platform Events, callouts, and middleware., • Understanding of enterprise architecture patterns for scalable, resilient solutions., • Experience with data migration strategies, ETL processes, and data quality management. Leadership & People Management: • Demonstrated ability to lead and manage developers, set technical direction, and drive delivery., • Strong mentoring, code-review, and knowledge-transfer skills., • Excellent stakeholder communication and analytical problem-solving. Project Management: • Experience with Scrum/Kanban and agile tooling., • Ability to estimate effort, manage timelines, and coordinate deliverables across multiple priorities., • Experience with change management and release management in enterprise environments.

Job Description Genesis10 is currently seeking an Enterprise Architect for a hybrid position (3 days onsite per week required) with a Global Financial Institution located in Plano, TX. This is a 12+ month contract opportunity. This role serves as a senior AI architecture leader responsible for defining enterprise patterns, standards, and decision frameworks that guide the adoption of AI across Global Technology. The position provides architectural leadership spanning AI platforms, agentic systems, retrieval architectures, model integration, workflow automation, and enterprise AI governance. Working closely with CIO architecture teams, platform engineering, security, and risk partners, this role helps translate rapidly evolving AI capabilities into practical, scalable, and governed enterprise solutions. Responsibilities: • Define enterprise AI architecture strategy, patterns, and reference architectures, • Establish decision frameworks for AI platform selection, solution design, and deployment approaches, • Develop governance models, standards, and guardrails for AI and agentic solutions, • Drive consistency and reuse through enterprise AI patterns, templates, and guidance artifacts, • Align AI architecture with enterprise security, risk, compliance, and control requirements, • Define architecture patterns for enterprise AI agents, multi-agent systems, and workflow automation, • Establish guidance for agent orchestration, planning, memory, tool invocation, and human oversight, • Drive standards for deterministic, probabilistic, and hybrid automation models, • Define integration patterns for agent-to-agent communication, tool usage, and enterprise workflows, • Guide adoption of emerging AI interoperability standards and architectures, • Develop decision guidance for model selection, orchestration approaches, and AI solution architectures, • Partner with platform teams to align enterprise AI capabilities with business and technology needs, • Define patterns for RAG, vector databases, semantic retrieval, and enterprise knowledge architectures, • Guide architecture decisions for AI-ready data access, grounding, and contextual retrieval, • Guide architecture decisions involving AI Gateway, API Gateway, and MCP Gateway capabilities, • Embed security through architecture patterns covering identity, access, data protection, and policy enforcement, • Translate complex AI concepts into clear, actionable guidance for technical and business audiences, • Communicate effectively with senior stakeholders on business value, risk, operating models, and technology choices, • Act as a senior AI architecture leader driving alignment across multiple organizations and initiatives, • Promote responsible AI adoption through practical governance and architectural guardrails Requirements: • 15+ years in enterprise architecture, solution architecture, software engineering, or distributed systems design, • 8+ years of experience architecting AI/ML, NLP, or advanced analytics solutions, • 2+ years of experience designing enterprise GenAI, RAG, and agentic AI solutions, • Strong knowledge of AI/ML concepts including LLMs, RAG, embeddings, vector databases, evaluation frameworks, and agent-based architectures, • Experience with enterprise AI platforms such as Microsoft Copilot Studio, Azure AI services, Azure OpenAI, or equivalent technologies, • Familiarity with AI orchestration frameworks, workflow automation, and enterprise integration patterns, • Understanding of security, governance, privacy, and risk considerations for AI solutions, • Proven ability to influence senior stakeholders and drive architecture decisions in regulated environments, • Strong communication skills with the ability to simplify complex AI concepts and drive alignment across technical and business audiences Desired skills: • Experience with agentic AI, multi-agent systems, MCP, and emerging AI interoperability standards, • Experience with Microsoft AI ecosystem capabilities including Copilot Studio, Azure AI Foundry, Azure OpenAI, and GitHub Copilot, • Experience with AWS AI services including Amazon Bedrock, SageMaker, and AI application architectures, • Knowledge of knowledge graphs, semantic search, vector databases, and enterprise retrieval architectures, • Experience defining AI governance, model lifecycle management, and responsible AI practices, • Experience operating in large-scale, highly regulated enterprise environments Pay range: $63.68 - $71.68 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: • Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years., • The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years., • Access to an experienced, caring recruiting team (more than 7 years of experience, on average.), • Behavioral Health Platform, • Medical, Dental, Vision, • Health Savings Account, • Voluntary Hospital Indemnity (Critical Illness & Accident), • Voluntary Term Life Insurance, • 401K, • Sick Pay (for applicable states/municipalities), • Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description About Client: The client provides information technology (IT) services, including business outsourcing, infrastructure technology, and application services. The application service offered by the company includes application development, maintenance, and support. The markets served by the company are financial services and insurance, healthcare, manufacturing, government, transportation, communications, and consumer and retail industries. Rate Range: $60-$70/Hr Job Description: • Proficiency in at least one modern programming language (e.g., Python, Java), • Experience implementing cloud contact center platforms, preferably Amazon Connect, • Strong expertise with Infrastructure as Code (e.g., Terraform), • Ability to architect and implement AWS applications and networking, • Experience with CI/CD tools (e.g., Jules) and version control (Bitbucket, Git), • Ability to rapidly build proof-of-concepts and scale them into enterprise solutions, • Advanced knowledge of application and infrastructure architecture principles, • Knowledge of voice technologies (e.g., WebRTC), call recording, and telephony platforms (plus), • Experience troubleshooting, monitoring, and production support in large environments using tools such as Splunk, Datadog, and CloudWatch, • Experience building and supporting enterprise solutions on AWS, • Strong understanding of contact center operations (required), • AI skills: conversational AI speech analytics integrations; GenAI/LLM use for agent assist/summarization/knowledge retrieval, with responsible AI practices (PII, controls, guardrails) About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at compliance@aptask.com. Applicant Consent: By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.

Job DescriptionAbout Client: The client is a global provider of digital business transformation, digital engineering, and information technology (IT) outsourcing services that accelerate our clients journey to their digital future. The company readily understands its clients' business challenges and uses its domain expertise to deliver innovative applications of technology to address their critical business challenges. It helps clients execute successful end-to-end digital business transformation initiatives. Rate Range: $60-$65/Hr Job Description: • We are seeking an experienced Lead / Principal MuleSoft Developer with over 13 years of IT experience, specializing in enterprise integration, API-led connectivity, and cloud architectures., • In this role, you will lead the architecture, design, development, and deployment of complex integration solutions using the MuleSoft Anypoint Platform., • You will be responsible for defining integration patterns, mentoring team members, enforcing best practices, and collaborating with cross-functional business and technical stakeholders to deliver scalable enterprise solutions., • Lead end-to-end design and implementation of enterprise integration applications using MuleSoft Anypoint Platform following API-Led Connectivity principles (Experience, Process, and System APIs)., • Develop complex workflows, message routing, data transformations using DataWeave, custom connectors, and exception-handling frameworks., • Guide and mentor software engineering teams, define coding standards, conduct design and code reviews, and drive integration architecture strategy., • Design RAML/OpenAPI specifications, define API governance policies, apply security standards (OAuth2.0, SAML, JWT, Mutual TLS), and manage APIs via Anypoint API Manager., • Establish and maintain CI/CD pipelines for automated testing, deployment, and management across multi-cloud environments (CloudHub, Runtime Fabric, On-Premises)., • Perform root cause analysis, performance tuning, system monitoring using Anypoint Visualizer and Monitoring, and troubleshoot critical production issues., • Mule 4.x, Anypoint Studio, Anypoint API Manager, Anypoint Exchange, Anypoint Runtime Manager, CloudHub, Runtime Fabric (RTF)., • API-Led Connectivity, Microservices Architecture, Enterprise Integration Patterns (EIP), Event-Driven Architecture., • Advanced DataWeave 2.0 logic, JSON, XML, Java object transformation., • RAML 1.0, OpenAPI Specification (OAS), RESTful APIs, SOAP Web Services, gRPC., • Java / J2EE, Groovy, or JavaScript. OAuth 2.0, SAML, JWT, OpenID Connect, HTTPS, Mutual TLS, API Key enforcement, Policy configuration., • Anypoint MQ, JMS, Apache Kafka, RabbitMQ., • Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Docker, Kubernetes. Jenkins, GitLab CI, GitHub Actions, Maven, Anypoint CLI, Nexus/Artifactory., • Oracle, PostgreSQL, MySQL, SQL Server, MongoDB, SPARQL/GraphQL., • Salesforce (SFDC), SAP, Workday, ServiceNow, Dynamics 365. Splunk, ELK Stack, Prometheus, Grafana, Datadog.Agile, Scrum, Kanban, Jira, Confluence., • Work Experience 10-15Years. Non-benefitted (other than those mandated under state or federal law).Please note that this position does not include paid time off benefits. ApTask offers subsidized insurance coverage to our employees. About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at compliance@aptask.com. Applicant Consent: By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.

Job DescriptionSoftware Data Operations Engineer Plano (Dallas), Texas About MAQ Software MAQ Software enables leading companies to accelerate their business intelligence and analytics initiatives. Our AI-powered solutions enable clients to improve their productivity, reduce costs, increase sales, and build stronger customer relationships. Our clients consistently recognize us for providing architecture and governance frameworks using the Well-Architected Framework, implementing best practices to optimize reports, and building team capability through training programs. Clients choose to work with us because they are confident in our software delivery. Our confidence results from a commitment to consistent outcomes, reduced time to market, and a transparent workflow. Clients benefit from daily software updates, agile practices, domain expertise, AI adoption, and rapid feedback implementation. As a premier supplier to Microsoft for over two decades, MAQ Software clients gain extensive insights and engineering practices across the Microsoft platform and can improve their implementations with our breadth and depth of expertise. As one of the top 25 global partners, Microsoft has awarded MAQ Software eight specializations for meeting their highest standards of service delivery to Fortune 500 companies. With over 1,800 engineers, MAQ Software has globally integrated teams in Redmond, Washington; Plano, Texas; and Noida, Mumbai, and Hyderabad, India, delivering solutions with increased velocity and tech intensity. Our daily delivery and feedback model offers the flexibility to adapt solutions to changing business needs. MAQ Software’s dedication to customer success has led to sustained growth. Inc. magazine has recognized MAQ Software for sustained organic growth by listing us on the Inc. 5000 list thirteen times —a rare honor. Engineering culture At MAQ Software, we foster a strong engineering culture with a can-do attitude. Our key managers come from excellent educational backgrounds and have significant experience in growing a company and mentoring software engineers. Due to our smaller size, we are agile and able to adopt the latest technologies and computing trends ahead of larger industry players. As a part of our globally distributed engineering team, our engineers gain exposure to the latest software engineering practices and fast development cycles, providing them with the opportunity to work on challenging technical problems that utilize cutting-edge technologies for fast-paced software delivery. Our collaborative and supportive work environment encourages innovation and growth, making our company an exciting and rewarding place to work. Examples of our projects: • We built an agentic AI solution that redefined event information access for a global technology leader, delivering instant, accurate answers to attendee questions at scale. Using Azure OpenAI Service, Azure AI Search, and Azure Machine Learning, combined with Retrieval-Augmented Generation (RAG), we engineered a secure, multilingual Copilot platform capable of processing data from 22 file formats across multiple sources. Our team leveraged Azure Databricks for advanced data transformation, Azure Front Door for global load balancing, and Microsoft Entra ID with Azure Key Vault for enterprise-grade security. The result: a system that served over 200,000 users, handled millions of interactions, and reduced support requests by 70%, setting a new benchmark for scalable, intelligent, and personalized event experiences., • We built a high-performance reporting solution that redefined data refresh efficiency for a leading office supply retailer, delivering near real-time insights and dramatically faster report access. By integrating Snowflake-managed Iceberg tables into Microsoft Fabric via OneLake shortcuts and leveraging Power BI’s Direct Lake mode, we built a scalable architecture that eliminated data duplication and significantly reduced latency. Our team leveraged Azure Data Lake Storage for external volume dumps, semantic modeling for streamlined analytics, and Fabric F256 SKU with autoscale for optimized compute. The result: report load times dropped by 80%, refresh cycles shrank from 10 days to minutes, and infrastructure costs fell by 60%, setting a new benchmark for enterprise-grade reporting performance., • We helped a global industrial technology leader transform its construction operations by replacing a fragmented, batch-based ERP system with a real-time intelligence solution built on Microsoft Fabric. The previous setup—based on Databricks and Snowflake—struggled with delayed data updates, high maintenance, and siloed systems. By implementing Microsoft Fabric’s Real-Time Intelligence capabilities, including Eventstreams, Reflex, and Power BI dashboards, we enabled real-time data ingestion, anomaly detection, and instant insights. The result: 20–30% cost savings, 50% less IT maintenance, and a 10x improvement in data latency. This empowered faster decision-making, proactive issue resolution, and a more agile, data-driven organization., • We helped a Fortune 500 office supply retailer modernize its reporting by migrating from MicroStrategy to Power BI. The legacy system was costly and inefficient, requiring over 150 duplicate reports and individual licenses for each user. Our solution consolidated these into just five dynamic Power BI reports, each customizable with bookmarks and filters. By leveraging Snowflake and Import Mode, we delivered a scalable semantic model and a user-friendly experience. The result: reduced license costs, faster reporting, and empowered business users with self-service analytics., • We built an AI-powered chatbot for a global manufacturer of industrial test and diagnostic equipment to improve access to project lifecycle management data. Using Azure OpenAI, Azure AI Search, and Azure App Service, the solution indexed documents from SharePoint—including PDFs, Excel files, and dynamic web pages—into a centralized, searchable interface. Power Automate and custom code streamlined data ingestion and processing, while Azure Cosmos DB stored historical interactions. The chatbot enabled employees to retrieve accurate insights quickly, reducing manual effort and improving decision-making. Post-deployment, the client achieved higher productivity, lower operational costs, and seamless access to project data through a single unified interface. To read about some of our recent projects, visit https://maqsoftware.com/case-studies ResponsibilitiesAnalyze existing systems (30%) • Collect requirement specifications to analyze business processes and determine the exact nature of user’s system requirements. Use tools like Microsoft 365 Copilot to summarize stakeholder input and map process flow from documents, emails, and meetings. Collaborate with module leaders and core team members to decide on system architecture., • Analyze existing system structures to identify opportunities for migration to cloud-based platforms. Use GitHub Copilot to assist in refactoring legacy code and Microsoft Azure AI services to evaluate cloud readiness and performance benchmarks., • Analyze user requirements and align them with available enterprise data sources to design solutions that deliver reliable performance and reasonable cost. Use tools such as GitHub Copilot to assist with query optimization and Azure DevOps MCP Server to validate data lineage and dependencies within project repositories., • Design processing steps and recommend system solutions based on user requirements, ensuring clarity and scalability.Develop specifications and workflow (25%), • Prepare software specifications, flow charts, and process diagrams for software programmers to follow. Use GitHub Copilot to generate code templates and automate systems documentation such as design specifications, user manuals, technical manuals, descriptions of application operations, and methodology documentation., • Analyze feasibility using commercially available software systems (e.g., Microsoft Azure versus Amazon Web Services) and reporting systems (e.g., Power BI versus Tableau).Analyze and verify implementation (25%), • Collaborate with systems analysts and programmers to develop data migration tools and define operational workflows for new systems., • Work with software developers to use GitHub Copilot for accelerating code development., • Set up the test environment, use GitHub Copilot to generate test cases, and use Playwright MCP to automate testing and compare data from multiple sources to verify reports for end users.Review implementation status and reporting (10%), • Participate in technical collaboration meetings and periodical reviews of implementation status., • Report weekly task plan to the project management team for implementation of custom software.Training and certifications (10%), • Participate in technical training and complete relevant industry courses and certifications.Qualifications Undergraduate or graduate degree in Computer Science, Information Systems, Applied Computational Math Sciences, or related engineering discipline. Benefits • Annual salary range depends on education and experience., • Comprehensive medical, dental and vision insurance with employee premiums paid in full., • 401(k) retirement plan with 3% company match and immediate vesting, • Paid time off (three weeks)

Job DescriptionWe are currently seeking a fully remote, Senior Data Engineer to join our team. Job Info: Senior Data Engineer to support the evolution of an enterprise customer profile platform and its integration with a broad ecosystem of applications. In this role, you will design, develop, and optimize data solutions, database platforms, and integration capabilities that power critical business processes and data assets. You will leverage cloud-native technologies, modern data engineering practices, and AWS and Snowflake capabilities to deliver scalable, reliable solutions that improve data accessibility, quality, and performance. Required Qualifications: • 6+ years of Data Engineering experience., • 3+ years of hands-on experience with Oracle RDBMS, including SQL, PL/SQL, stored procedures, and query/performance optimization., • 3+ years of experience designing, developing, and supporting ETL and data integration solutions., • 2+ years of experience with messaging and event-driven technologies, such as Kafka, Amazon Kinesis, SNS, SQS, or similar platforms., • 2+ years of programming experience using Java and/or Python, with Java strongly preferred., • 1+ year of experience developing or supporting solutions in AWS cloud environments. Preferred Qualifications:, • Experience supporting production applications and data platforms, including troubleshooting and incident resolution, • Experience building and maintaining end-to-end data pipelines, • Experience with API-based integrations and distributed systems, • Experience developing scalable, high-performance data solutions, • Understanding of enterprise data architecture and integration patterns. About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is 62.47 to 75.55 W2. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. Benefits Eligibility This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits

Sr. Advertising Manager, Amazon Advertising The e-commerce landscape is expanding rapidly, and brands require expert strategy to maximize their online presence. At Straight Up Growth, we provide industry-leading Amazon Advertising solutions to elevate brand awareness, drive targeted traffic, and accelerate client growth. We are seeking a highly driven and experienced leader to join our dynamic team and manage our dedicated group of Amazon Advertising experts. Key Competencies & Experience: • Strategic Amazon Expertise: Strong, demonstrable understanding of Amazon Marketing Cloud (AMC), Amazon Search, and DSP applications., • Data Analysis Prowess: Advanced proficiency in leveraging data analysis tools, particularly Google Sheets with complex pivoting capabilities. Experience with statistical analysis is highly valued., • Continuous Improvement Mindset: Proactively identifies and implements innovative solutions to enhance performance, efficiency, and established workflows., • Exceptional Communication: Superior written and verbal skills, capable of articulating complex advertising strategies clearly to both internal teams and executive-level clients., • Organizational Mastery: Highly organized, adept at managing multiple complex tasks simultaneously and effectively prioritizing demanding workloads., • Self-Driven & Accountable: Demonstrates strong initiative, ownership, and composure under pressure in fast-paced, high-stakes environments. Key Responsibilities: • Campaign Strategy & Execution: Develop, launch, and manage Amazon advertising campaigns across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP, ensuring campaign structures align with client goals, budgets, and performance targets., • Performance Optimization: Monitor campaign performance daily and make data-driven optimizations to bids, budgets, targeting, keywords, placements, and audience strategies to improve ROAS, TACoS, sales growth, and overall account efficiency., • Keyword, Category & Market Research: Conduct keyword research, competitor analysis, category reviews, and retail performance assessments to identify growth opportunities and inform campaign strategy., • Client Strategy & Consultation: Support client advertising strategy by providing clear recommendations, performance insights, and actionable next steps tied to business objectives, market conditions, and Amazon account performance., • Reporting & Analysis: Generate insightful performance reports, conduct regular and ad-hoc analyses, and rigorously track success by leveraging both advertising-specific and overarching total KPIs., • Amazon Ecosystem Expertise: Maintain a strong understanding of Amazon Advertising, e-commerce trends, retail media, and marketplace dynamics to support informed decision-making and effective campaign management. Company Benefits & Application: • Comprehensive Benefits: We offer medical, dental, and vision insurance, a 401k match of up to 4% (after 6 months), and generous paid time off., • Professional Growth: We are deeply committed to our team's development, ensuring continuous opportunities for professional growth and career advancement., • Reporting Structure: This role reports directly to the Director of Ads. To Apply: Please submit a comprehensive Resume and a compelling Cover Letter detailing a challenging situation you encountered and how you successfully overcame it.

Role: CAA Programmer - CATIA /Enovia CAA Location: Seattle, WA /Remote | 5 - 13 years of experience Hire Type: Full Time Job Description Must Have Technical/Functional Skills • 5+ years of experience with Computing and Programming language like C++, C, across native Unix platforms., • Deep knowledge of software/hardware compatibility and solutions approach., • Experience with Project Management Tools like Team Foundation Server, Quality Center, • Experience with Relational Databases such as SQL-Server, Oracle, Teradata, • Experience with Configuration Control Tools such as GIT, Visual Source Safe, Clear Case, SCCS, • Experience with Windows, Solaris, Linux (Oracle 8+ and Red Hat 6-7) Operating Systems, • Experience with Documentation Tools such as Microsoft tools such as Word, Visio, and PowerPoint, • Experience in developing software solutions in the Java/modern programming language., • Experience with developing web applications Roles & Responsibilities • Leads and performs the design, program, test, implementation and documentation of complex computing applications and software or computing architecture and computing application system designs in Electrical Engineering Systems, • Maintains the CADDStation suite of application running on Solaris system hosted on Linux OS., • Monitors and maintains the CADDStation Ecosystem hosted on Solaris platform, • Leads analysis of end user processes to define application requirements, • Contributes with complex Unix based solutions for hardware/software upgrade and refactoring., • Modifies or upgrades complex applications to maintain functionality and performance in Electrical Domain, • Identifies and recommends improvements, • Identifies and resolves complex programming or application architecture problems, • Identifies issues and provide solutions to multiple issues that may be found Generic Managerial Skills, If any • Effective leadership and mentorship skills., • Exceptional communication to bridge technical and non-technical teams., • Strong analytical and problem-solving skills., • Ability to manage multiple programs and priorities simultaneously., • Stakeholder management and cross-functional collaboration. Preferred Qualifications (Desired Skills/Experience): • Bachelor of Science or higher from an accredited institution in Software Engineering, Computer Science, Computer Engineering or other technical degrees, • Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling, • Experience with Azure DevOps (ADO) or Team Foundation Server (TFS), GitLab, GIT, IIS, Wi ndows Server, • Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure, • Experience with Cloud technologies and/or Cloud-native app development and microservices

REMOTE / Seattle, WA - Full Time - CAA Programmer - CATIA /Enovia CAA Experience 5 - 13 Years Must Have Technical/Functional Skills • 5+ years of experience with Computing and Programming language like C++, C, across native Unix platforms., • Deep knowledge of software/hardware compatibility and solutions approach., • Experience with Project Management Tools like Team Foundation Server, Quality Center, • Experience with Relational Databases such as SQL-Server, Oracle, Teradata, • Experience with Configuration Control Tools such as GIT, Visual Source Safe, Clear Case, SCCS, • Experience with Windows, Solaris, Linux (Oracle 8+ and Red Hat 6-7) Operating Systems, • Experience with Documentation Tools such as Microsoft tools such as Word, Visio, and PowerPoint, • Experience in developing software solutions in the Java/modern programming language., • Experience with developing web applications Roles & Responsibilities • Leads and performs the design, program, test, implementation and documentation of complex computing applications and software or computing architecture and computing application system designs in Electrical Engineering Systems, • Maintains the CADDStation suite of application running on Solaris system hosted on Linux OS., • Monitors and maintains the CADDStation Ecosystem hosted on Solaris platform, • Leads analysis of end user processes to define application requirements, • Contributes with complex Unix based solutions for hardware/software upgrade and refactoring., • Modifies or upgrades complex applications to maintain functionality and performance in Electrical Domain, • Identifies and recommends improvements, • Identifies and resolves complex programming or application architecture problems, • Identifies issues and provide solutions to multiple issues that may be found Generic Managerial Skills, If any • Effective leadership and mentorship skills., • Exceptional communication to bridge technical and non-technical teams., • Strong analytical and problem-solving skills., • Ability to manage multiple programs and priorities simultaneously., • Stakeholder management and cross-functional collaboration. Preferred Qualifications (Desired Skills/Experience): • Bachelor of Science or higher from an accredited institution in Software Engineering, Computer Science, Computer Engineering or other technical degrees, • Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling, • Experience with Azure DevOps (ADO) or Team Foundation Server (TFS), GitLab, GIT, IIS, Wi ndows Server, • Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure, • Experience with Cloud technologies and/or Cloud-native app development and microservices Base Salary Range : $120,000 to $155,000 Per Annum

Brand Marketing Manager, US Department: Marketing Reports to: Head of US Growth Location: Remote (US), Minneapolis, MN area strongly preferred Work Type: Full-time About FUNDAY FUNDAY is the #1 better-for-you candy brand in Australia, on a mission to share more joy and prove that better-for-you doesn’t have to be boring! Founded in Melbourne by entrepreneur Daniel Kitay, FUNDAY reimagines nostalgic candy favorites with a natural, better-for-you twist, made with no sugar added and natural dyes and flavors. We’re proving you don’t have to compromise on taste to make a better choice. FUNDAY has grown to $100M+ in retail sales over the past year across 7,000+ stores in Australia, and in 2026 we brought FUNDAY candy to the US, launching in Target stores across the country. We’re ambitious, innovative and fun-loving, and our US story is only just getting started. About the role We’re looking for a Brand Marketing Manager to build and lead FUNDAY’s marketing in the US. You’ll be our first marketing hire on the ground here, reporting to our Head of US Growth and working hand in hand with our brand, creative and social teams in Melbourne. A big part of this role is outreach. You’ll build relationships with US brands and partners we’d love to work with, and turn those conversations into collaborations, anything from a giveaway or co-marketing moment to a long-term product collab developed with our global team. This is a hands-on role for an experienced CPG marketer who loves to build. You’ll take a brand that already has a loyal following in Australia and bring it to life for American candy lovers across retail, social, creators, PR, sampling and events. You’ll own the US marketing calendar and budget day to day, make smart calls on where every dollar goes, and turn plans into results you can see on shelf and in sales. No two days will look the same! One day you might be pitching a brand collab, the next briefing creators, packing up a sampling kit or presenting results to our leadership team. What you’ll be doing • Own the US marketing plan and calendar, adapting FUNDAY’s global marketing strategy for the US and bringing it to life through campaigns, product launches and seasonal moments., • Make smart calls on where we invest, which consumer segments we focus on and which US agency partners we work with., • Lead US brand partnerships, reaching out to brands we’d love to work with, managing those conversations and bringing collaborations to life, from giveaways to long-term product collabs, partnering with our global team on larger collaborations and co-branded products., • Support retail marketing with our retail partners, helping plan and execute retail media, in-store programs and digital offers, and creating the content that helps shoppers find and choose FUNDAY candy., • Drive launch readiness for every new item and new distribution, making sure product pages, content, ratings and reviews, and marketing assets are ready on time., • Manage FUNDAY’s US creator program, likely alongside an agency partner, while working directly with brands, agencies and creators, from product seeding and partnerships to paid amplification., • Bring FUNDAY to life in person through sampling, events and brand partnerships that get candy into hands and build buzz., • Partner with our Melbourne-based brand, creative, social and PR teams on campaigns, PR kits and launch storytelling, bringing local insight and creator connections so they land with US consumers while staying true to the brand., • Manage US agencies, freelancers and vendors across creators, sampling, events and promotions, and partner with our global team on PR and paid media agencies, holding everyone to clear goals, timelines and budgets., • Own the US marketing budget, tracking spend, raising purchase orders and making sure every investment earns its place., • Measure what works, reporting on campaign performance, retail media return, sales impact and consumer feedback, and using what you learn to sharpen the next plan., • Manage the logistics of marketing materials, samples and influencer kits, so sampling and event kits are always ready to go., • Stay up-to-date with the latest US candy, snacking and culture trends, bringing fresh ideas to the table and spotting opportunities early. About you You’ll ideally have 4-7 years of brand marketing experience, with time in CPG food, beverage or snacking. Experience at a fast-growing or emerging brand is a big plus, and so is hands-on experience marketing with major US retailers. Above all, we’re looking for someone hungry: a hustler with great energy who cares deeply about the work and knows their craft inside and out. You’ll be: • A builder and generalist who takes ownership, comfortable starting from a blank page, wearing many hats and moving fast without waiting to be asked., • A natural relationship builder, happy to reach out to brands and partners and turn a first conversation into a collaboration. Licensing experience is a plus, but not required., • Commercially minded, with a clear understanding of how marketing drives sales at retail and confidence working with scan data, syndicated data, media dashboards and budgets., • Retail savvy, with experience in retail media (such as Roundel, Walmart Connect, Amazon Ads, or TikTok Spark Ads), digital offers and launch execution at national retailers., • Creatively sharp, with a great eye for content and copy and a point of view on what resonates with US consumers on social and in creator content., • Exceptionally organized, able to run multiple projects, vendors and deadlines at once without anything slipping., • A clear communicator and great partner, who writes well, presents with confidence and enjoys working with a team in Australia (with the occasional early morning or evening call)., • Curious and fun, with a love of brands, candy and pop culture and positive energy that lifts the people around you. Practical details: a bachelor’s degree or equivalent experience, authorization to work in the US, occasional travel (about 15%) for retail visits, events and team time, and the ability to lift up to 25 lbs for sampling and event kits. What success looks like In your first year, FUNDAY becomes a brand American candy lovers seek out. Our launches land on time and look great, our partnerships and activations earn a strong return, our ratings and reviews show shoppers love what they’re eating, and you’ve built the US marketing playbook we’ll scale as FUNDAY grows into new retailers and channels. The FUN perks • Sweet treats on us! Enjoy a FUNDAY allowance every quarter to stock up on your favorites., • FUN-Days! Twice a year, take a day off to do something FUN, with an allowance toward an activity of your choice., • Birthday half day! Celebrate YOU with an extra half day off to use within two weeks of your birthday. How to apply Apply through LinkedIn. Optionally, if you want to stand out, send your resume plus a one-page US marketing approach to . We read every one. Ideas you share are offered voluntarily and without compensation. We may already be exploring similar ideas, and sharing yours doesn’t create any obligation for FUNDAY. FUNDAY is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, veteran status or any other characteristic protected by law. If you need an accommodation during the application process, please contact []. • Candidates must be authorized to work in the United States. We are not able to sponsor visas for this role at this time.

Description Hybrid in Ashburn, VA or Gaithersburg, MD Our client seeks Testing and Quality Assurance professionals who develop, implement, and maintain scalable QA systems and standards. The role focuses on CI/CD-integrated automated testing, AI-driven test-script generation, feature testing of cloud-native Java services, and security and compliance validation. The tester must diagnose root causes, collaborate with developers, and operate across Linux-based and cloud environments. Due to federal security clearance requirements, applicant must be a United States Citizen with an active Public Trust clearance. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $50.00 to $70.00/hr. w2 Responsibilities • Perform software testing across unit, integration, end-to-end, performance, and security domains., • Develop test plans and create automated test scripts integrated into CI/CD pipelines., • Lead AI-driven test-script generation and maintenance using modern AI tooling., • Debug software issues, analyze failures, and determine root causes., • Execute feature testing for cloud-native Java services on ECS, EKS, and OpenShift., • Validate environments across Dev, Test, and Ops and manage lab setups., • Integrate security and compliance testing, including SAST, DAST, and control validation., • Collaborate directly with developers within Agile teams., • Support continuous monitoring and evidence generation for ATO. Experience Requirements • Test automation at scale with standards, methods, and QA systems., • CI/CD-integrated automated testing using tools such as GitLab, Tekton, or Argo CD., • AI-assisted testing for coding, requirements, test creation, debugging, and analysis., • Hands-on with Playwright, JUnit/TestNG, REST and contract testing, and performance testing., • Container and Kubernetes test harnesses across Amazon ECS, Amazon EKS, and Red Hat OpenShift., • Security and compliance testing, including SAST/DAST/SCA/IaC scanning and policy-as-code., • Experience in AWS, including multi-account/VPC patterns and segmentation., • On-prem to AWS migration experience for containerized workloads and data tiers., • Familiarity with FISMA High and FedRAMP High practices, STIGs, and NIST 800-53 controls., • Linux proficiency and experience with Java-based application environments., • Strong troubleshooting and debugging in cloud and lab environments., • Effective communication within Scaled Agile teams. Education Requirements

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.

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!

MathCo is an AI and analytics consultancy headquartered in Chicago with a major hub in Bangalore. We help global enterprises turn data, analytics, and AI into measurable business outcomes, with over 2,000 projects delivered across industries. We don't stop at strategy: we build what we design, and we measure what we build. Forward Deployed Engineering is our answer to how AI is changing consulting. The highest leverage person is no longer a project manager, an architect, a data scientist, or a developer. It is the one person who connects all of these while staying closest to the customer's problem. About the Role AI is changing how consulting delivers value. At MathCo, our Forward Deployed Engineers sit at the intersection of business strategy, AI, software engineering, and client delivery. They are not specialists working within a narrow function. They are end-to-end problem solvers who partner directly with clients to transform ambiguous challenges into deployed, measurable outcomes. As a Senior Forward Deployed Engineer (AI), you will embed with client teams, understand their business problems, architect scalable solutions, build production-ready systems, and guide adoption through deployment and handoff. You will serve as the primary technical owner throughout the engagement lifecycle, ensuring every decision remains tied to business value. You will operate across AI, data, cloud, software engineering, and stakeholder management to deliver solutions that clients trust and scale. Our approach begins with a simple principle: Outcome → User → Workflow → Decision → Data → Intelligence → Action → Value Key Responsibilities Business Discovery & Problem Framing • Collaborate closely with client stakeholders to understand business objectives, workflows, and decision-making processes., • Identify opportunities where AI, analytics, and data-driven solutions can create measurable impact., • Separate assumptions from facts and establish a clear understanding of the problem before solution design begins., • Define success metrics and align stakeholders on expected outcomes. Solution Architecture • Design scalable, secure, and production-ready architectures aligned with client technology ecosystems., • Evaluate technical trade-offs and guide architectural decisions across cloud, data, AI, and application layers., • Ensure solution designs account for security, governance, integration, scalability, and operational requirements., • Document architectural decisions and implementation approaches clearly. AI & Software Development • Develop and deploy production-grade AI, analytics, and software solutions using real-world client data., • Build reusable, maintainable, and scalable code across the solution stack., • Implement GenAI-enabled capabilities, including retrieval-augmented generation (RAG), agentic workflows, evaluation frameworks, and orchestration mechanisms., • Validate solution effectiveness through structured testing and measurable performance outcomes. Client Leadership & Communication • Lead discovery workshops, solution reviews, working sessions, and executive presentations., • Communicate technical concepts effectively to both business and technical audiences., • Proactively identify risks and trade-offs while providing actionable recommendations., • Manage scope, priorities, timelines, and stakeholder expectations throughout the engagement. Delivery & Handover • Create comprehensive transition packages, including:, • Solution architecture documentation, • Operational runbooks, • Validation and testing evidence, • Deployment guidelines, • Knowledge transfer materials, • Ensure successful adoption by client teams and support transition to production ownership., • Continue providing architectural guidance during scaling and implementation. AI-Enabled Delivery Excellence • Leverage AI tools, accelerators, and digital agents to improve solution delivery and engineering productivity., • Build reusable assets, playbooks, and frameworks that can be applied across engagements., • Mentor and guide delivery team members through structured documentation and knowledge-sharing practices. What Success Looks Like In this role, success is measured by: • Client outcomes delivered and validated, • Speed from problem definition to working solution, • Adoption and production readiness of deployed solutions, • Quality of architecture and engineering decisions, • Effectiveness of stakeholder engagement and communication, • Successful knowledge transfer and client enablement Required Qualifications Experience • 10–15 years of experience designing, building, and deploying software, data, analytics, or AI solutions., • Demonstrated ownership of production systems and business-critical deliverables., • Experience operating in client-facing or highly collaborative environments. Technical Expertise Deep expertise in at least one of the following: • AI/ML Engineering, • Data Engineering, • Backend Engineering Working knowledge across adjacent domains, including cloud architecture, data platforms, APIs, and front-end technologies. Generative AI Experience Hands-on experience designing and deploying enterprise GenAI solutions involving: • Large Language Models (LLMs), • Retrieval-Augmented Generation (RAG), • Agentic AI workflows, • Prompt and context engineering, • AI evaluation and monitoring frameworks, • Responsible AI implementation practices Cloud & Platform Experience Strong experience with one or more of the following: • Microsoft Azure, • Amazon Web Services (AWS), • Google Cloud Platform (GCP), • Databricks Ability to work within complex enterprise environments that include legacy systems, modern platforms, and third-party applications. Consulting & Problem Solving • Proven experience navigating ambiguity and defining structured solutions., • Strong stakeholder management and requirements-gathering skills., • Ability to translate business problems into scalable technical solutions., • Demonstrated ability to make informed decisions under uncertainty. Communication & Leadership • Exceptional verbal and written communication skills., • Experience presenting recommendations and technical decisions to senior stakeholders and business leaders., • Ability to influence cross-functional teams without direct authority. AI-Native Mindset • Enthusiasm for using AI tools and digital assistants to improve productivity and outcomes., • Strong learning agility and curiosity about emerging technologies., • Ability to operate independently in distributed, remote-first environments. Preferred Qualifications • Experience in consulting, solutions engineering, customer engineering, or forward deployed engineering roles., • Experience delivering AI transformation initiatives at enterprise scale., • Industry expertise in one or more of the following sectors:, • Consumer Packaged Goods (CPG), • Retail, • Life Sciences & Pharmaceuticals, • Manufacturing, • Financial Services, • Experience delivering fixed-scope, outcome-based, or value-based engagements., • Experience leading distributed teams and managing project execution through architecture documents, ADRs, runbooks, and implementation playbooks. Why Join MathCo? • Solve complex, high-impact enterprise problems using AI and advanced analytics., • Work directly with senior business and technology leaders., • Own the full lifecycle from problem definition to deployment., • Partner with some of the world's leading organizations on transformative initiatives., • Help shape the future of AI-enabled consulting and engineering. Being a Mathemagician • Embody MathCo's culture of ownership, excellence, and impact., • Actively contribute to company growth initiatives while fostering a collaborative and innovative environment., • Demonstrate curiosity, agility, and a continuous learning mindset., • Support diversity, equity, inclusion, and belonging by valuing different perspectives and ideas., • Create positive experiences for candidates, colleagues, clients, and stakeholders in every interaction. Recognitions & Awards • Leader in Top Generative AI Service Providers, PeMa Quadrant 2023 (AIMResearch), • Recognized among Inspiring Workplaces in North America, 2023, • Accredited for Inclusive Practices by Great Place to Work® Institute, India, • Best Workplaces™ for Diversity, Equity, Inclusion & Belonging 2023, Great Place To Work® India For more information, please visit https://.

At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available. For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries. As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work! Job Overview: You’ll be joining our Mitratech Workforce Compliance Engineering team, building AI-first SaaS products. This role sits at the intersection of two disciplines. First, you’ll build the AI features our customers use every day: LLM-powered workflows, retrieval over compliance content, and agents that take action inside our products. Second, you’ll help lead how we build software, using agentic, pipeline-driven development in which AI coding agents plan, write, test, and review code under strong engineering oversight. We hold both to the same bar: high quality (low escaped defects), well tested (Cypress automation framework with focus on unit test coverage), secure (scanned and verified), scalable (AWS, but hardware isn’t the answer), and measurably accurate when AI is involved. This is a great opportunity to join a growing company, be part of an excellent team, architect solutions to complex problems, and deliver valuable features where clean code, and trustworthy AI, matter. Essential Duties & Responsibilities: Agentic, Pipeline-Driven Development • System Design & Task Decomposition: Break down high-level product goals into well-defined, modular engineering tasks with clear specifications and acceptance criteria that can be executed by both engineers and AI coding agents., • Agentic Development Pipelines: Develop and optimize CI/CD pipelines that incorporate AI agents for code generation, automated testing, and intelligent code review, with guardrails, quality gates, and clear human approval points., • Specification & Context Engineering: Design and test structured instructions, prompts, specifications, and repository context (e.g., agent instruction files, reusable skills, MCP tools) that drive accurate, context-aligned output from AI agents, and measure and improve agent output over time., • Code Review & Validation: Conduct in-depth reviews of both human and AI-generated code, ensuring quality, security, scalability, and alignment with domain requirements., • Architectural Oversight: Ensure design plans created by both human engineers and AI tools adhere to architectural best practices with a focus on modularity, bounded contexts, etc., • Documentation and Domain Clarity: Contribute to the development of domain models, technical documentation, and internal knowledge bases that support AI agent performance and team activity. Engineering Excellence & Teamwork • Write secure code. Avoid introducing an OWASP vulnerability, including those in the OWASP Top 10 for LLM Applications. Know how APIs are secured, sessions are handled, and data is validated properly., • Serve in an on-call rotation (DevOps philosophy where you will participate in ops) and respond promptly to any production issues, including AI feature degradations, to remediate rapidly., • Be a teammate, help other teammates resolve complex problems or think through design/architecture challenges. Be available and responsive., • Mentor others and foster an excellent engineering culture based in trust, accountability, character, and honesty, including coaching teammates on using AI agents effectively and responsibly., • Seek feedback and deliver constructive criticism (e.g., code reviews) in a tactful and empathetic manner; build others up and mentor without ego. Your Qualifications: Required • Possess a bachelor’s degree, or equivalent experience. Emphasis in engineering, data science, computer science or information systems is preferred., • Have a minimum of 5 years of software engineering experience developing SaaS applications, with strong hands-on experience in our stack: Python, React, AWS (Lambda, DynamoDB)., • Hands-on experience with LLM application patterns: prompt design, embeddings and vector search/RAG, tool/function calling, structured outputs, and agent orchestration., • Demonstrated experience delivering software with AI coding agents such as Claude Code, Devin, or Codex as a core part of your workflow, including integrating agents into CI/CD pipelines with automated quality gates., • Experience designing evaluation and testing strategies for non-deterministic systems, and the judgment to decide when AI is, and is not, the right solution., • Strong fundamentals in system design, API security, automated testing, and multi-tenant SaaS architecture., • Clear, precise written communication: specs and documentation that both people and AI agents can act on. Preferred • Experience with managed model platforms and provider APIs (e.g., Amazon Bedrock, Anthropic, OpenAI) and agent frameworks or SDKs., • Have shipped at least one AI/LLM-powered feature to production in a SaaS product and supported it after launch (monitoring, evaluation, and iteration based on real usage)., • Experience building MCP servers or other tool integrations for AI agents., • Background in regulated domains (HR, legal, risk, or compliance) and with data privacy and security standards (e.g., SOC 2, GDPR, CCPA)., • Familiarity with AI risk and governance practices (e.g., NIST AI RMF, OWASP Top 10 for LLM Applications)., • Experience with spec-driven development. Our Technology Stack: • Python, React, • AWS (Lambda, DynamoDB, SQS, S3, CloudFront, API Gateway), • Containerized environments with CICD pipelines, RESTful APIs, etc., • LLM, RAG, and MCP components powering in-product AI features, • AI coding agents integrated into the development lifecycle with automated quality gates Benefits we offer: • Health, Dental & Vision Insurance *, • 401 (k) + Employer Match *, • Open PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off, • STD, LTD & Group Life Insurance, • Paid Parental Leave, • Pet Insurance, • FSA & HSA Options, • Employee Assistance Program Perks we offer: • Remote Work, • Career Advancement & Professional Development Opportunities, • Employee Recognition, • LinkedIn Learning Platform Mitratech is proud to be an EEOE, M/F/D/V, and we are committed to diversity both in practice and spirit at the corporate level. Mitratech participates in the Electronic Employment Verification Program. E-Verify is an Internet-based system that compares information from an employee’s I-9 to data from the U.S. Department of Homeland Security and Social Security Administration Records. To learn more, visit: everify.com We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

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DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

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DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

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