370 jobs found

Job Description Job Description Arrowpoint is seeking a Senior Data Integration Specialist to serve as Key Personnel on the FBI DSSU contract. In this leadership role, you will drive technical innovation and integration strategy for the N-DEx ecosystem, lead complex integration efforts, design new vendor solutions, and oversee data standardization practices. Key Responsibilities: Design new vendor solutions, recommend integration strategies, and drive technical innovation for data ingestion and system federation. Develop, maintain, test, and validate complex transformation code to ensure data quality and compliance with standards. Oversee daily data integration operations and coordinate the deployment of transformation code to source systems. Mentor Mid-Level and Junior Data Integration Specialists and lead complex integration efforts. Required Qualifications & Skills: Experience: At least 6 years of progressively responsible experience in data integration, ETL development, and SFTP troubleshooting. Technical Skills: Expert proficiency in web services (SOAP/REST) and Software Procedural Languages (PL/SQL, T-SQL). Advanced ability to develop, modify, and troubleshoot code in Java, Python, C, C#, or .NET. Deep expertise in transformation languages and schemas (XML, XSLT, XSD, DTD) and relational databases. Familiarity with law enforcement (LE) data and Information Exchange Package Documentation (IEPD) specifications. Clearance: Must possess an active Top Secret clearance at the time of application. Citizenship: U.S. Citizenship required (No dual citizenship). About Us Arrowpoint is a specialized, professional services firm focused on delivering high-impact services with a bias for execution in the areas of project management, change management, cybersecurity engineering, and enterprise technology adoption. Arrowpoint is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, or gender identity or national origin.

Job Description Location: Remote, USA Employment Type: Full-Time (Permanent) Experience: 10+ Years Department: Professional Services Level: 4 - Senior Job Description We are seeking an experienced Senior Software Engineer - Informatica B2B Developer with 10+ years of hands-on experience in enterprise data integration, ETL/ELT development, cloud technologies, and B2B partner integrations. The ideal candidate should have strong technical expertise in Informatica PowerCenter, IICS/IDMC, B2B Gateway , enterprise integration platforms, and cloud-based data engineering, along with experience leading technical teams and delivering complex integration projects. Key Responsibilities Design, develop, optimize, and maintain enterprise ETL/ELT pipelines and data integration solutions using Informatica technologies. Architect and implement B2B dataflows, data pipelines, and trading-partner integrations. Develop and support integrations using Informatica PowerCenter, IICS/IDMC, CDI, CAI, CDGC, and B2B Gateway . Integrate enterprise applications and platforms, including Databricks, MuleSoft, and Salesforce , using APIs and integration workflows. Design, deploy, and manage cloud-based data integration workloads on AWS and Azure . Develop automation scripts, reusable components, and integration utilities using Shell, PowerShell, Python, Java, C, or C++. Build and maintain enterprise file transfer solutions using FTP, SFTP, AS2 , encryption, certificates, and managed file transfer mechanisms. Perform debugging, unit/integration testing, developer testing, QA support, performance tuning, and production troubleshooting. Manage production deployments, CI/CD processes, code reviews, and technical documentation. Lead developers, coordinate technical activities, and ensure timely delivery of individual and team deliverables. Collaborate with cross-functional teams in Agile environments to deliver reliable and scalable integration solutions. Required Qualifications 10+ years of hands-on experience designing, developing, optimizing, and supporting Informatica ETL/ELT solutions. 10+ years of experience in application integration, data integration, or ETL engineering development, including B2B dataflows, pipelines, and partner integrations. 4-5 years of technical design experience in application integration, data integration, or ETL engineering. 5+ years of experience with Informatica IICS/IDMC, including CDI, CAI, CDGC, B2B Gateway, mappings, workflows, taskflows, and associated microservices. 5+ years of experience integrating Databricks, MuleSoft, Salesforce, and other enterprise platforms. 5+ years of experience designing, deploying, and supporting integration workloads on AWS and Azure. 5+ years of experience with enterprise file transfer protocols, including FTP, SFTP, AS2 , and managed file transfer solutions. 5+ years of Shell or PowerShell scripting experience for automation, file processing, monitoring, and troubleshooting. 2-3 years of software development experience in Python, Java, C, or C++ . 4-5 years of experience supporting developer testing, application QA, unit testing, and integration testing. 4-5 years of experience managing production deployments and deployment automation. 4-5 years of experience leading developers, coordinating tasks, and managing technical deliverables. Strong knowledge of REST/SOAP APIs, SQL, relational databases, Linux, Windows , data validation, and query optimization. Experience with Git, CI/CD pipelines, code reviews, production support, technical documentation, logging, and error handling. Strong understanding of encryption, certificate management, cloud access management, and trading-partner connectivity. Experience working with Agile delivery teams and collaborating across technical and business stakeholders. Preferred Qualifications Experience with Informatica Data Exchange (DX), Data Transformation (DT) , and enterprise B2B/EDI integrations. Knowledge of ANSI X12, EDIFACT , and trading-partner onboarding processes. Exposure to Snowflake, Azure Data Factory, Apache Kafka , and event-driven integration architectures. Experience with DevOps tools such as Jenkins, Azure DevOps, GitHub Actions, Terraform, and CloudFormation . Familiarity with monitoring and observability tools such as AWS CloudWatch, Azure Monitor, Splunk, and Datadog . Experience designing and supporting high-volume data pipelines, high-availability architectures, performance optimization, and disaster recovery. Exposure to AI/ML, Generative AI , and AI-assisted data engineering or integration tools. Additional Requirements Excellent written and verbal communication skills. Strong analytical and problem-solving abilities, including identifying, presenting, and resolving technical issues. Ability to lead technical discussions, mentor developers, and independently manage project deliverables. Flexibility to collaborate across US and India time zones . Willingness to travel internationally for short durations when required.

Job Description The Data Architect leads the design and direction of Christian Healthcare Ministries' enterprise data architecture. This role establishes data models, integration standards, and platform strategies that make data reliable, secure, and accessible, supporting ministry operations, analytics, and informed decision-making. WHAT WE OFFER At Christian Healthcare Ministries (CHM), we believe your career should be more than just a job it should be an opportunity to make a meaningful difference while growing personally, professionally, and spiritually. When you join our team, you'll enjoy: Competitive Compensation - Pay based on your experience and qualifications. Faith-Driven, Purpose-Filled Career - Be part of a Christ-centered ministry where your work makes a meaningful impact. Fully Paid Health Benefits for You & Your Family - Enjoy valuable health benefits provided at no cost to you, with coverage extended to eligible dependents. Retirement & Life Insurance - Benefits designed to support your financial well-being and future. Generous Paid Holidays - Enjoy 12 paid holidays PLUS your birthday! Complimentary Daily Lunch - Enjoy a delicious lunch provided daily for employees working onsite, including those on a hybrid schedule during their in-office days. Professional Growth & Development - Opportunities to strengthen your skills, expand your knowledge, and grow in your career. Paid Training - Receive the training and support needed to succeed in your role. More than a career. A calling. A community. A purpose. PRIMARY RESPONSIBILITIES Own the enterprise data architecture vision, standards, and roadmap, aligning priorities with CHM's business needs, resources, and technology strategy. Design and maintain conceptual, logical, physical, and analytical data models that reflect business requirements and reduce redundant or inconsistent data structures. Define reusable architecture for data ingestion, storage, transformation, integration, and access across operational systems, databases, cloud services, and analytical platforms. Lead architecture reviews and resolve design tradeoffs for major data initiatives, vendor solutions, migrations, and platform investments; document decisions, dependencies, and technical risks. Define master and reference data architecture, authoritative sources, and data quality standards; partner with governance and engineering teams to embed controls and address systemic quality issues. Establish metadata, lineage, and catalog standards so data assets, ownership, business definitions, and downstream impacts are documented and discoverable. Embed security, privacy, access, and retention requirements into data designs with Information Security and governance partners; support recoverability planning and significant data incident response, escalating material risks. Evaluate technologies and recommend modernization, consolidation, or retirement of data platforms and integrations based on business value, maintainability, operational readiness, risk, and total cost. Provide technical direction and mentoring to data engineers, database administrators, governance analysts, vendors, and project teams; maintain reusable architecture documentation and guidance. CORE COMPETENCIES Enterprise architecture judgment and practical problem-solving Data modeling and systems thinking Data integration and platform design Data governance, quality, and security awareness Clear communication and cross-functional collaboration Technical leadership, mentoring, and influence without formal authority REQUIRED QUALIFICATIONS Bachelor's degree in computer science, information technology, information systems, data engineering, software engineering, or a related field; or equivalent relevant experience demonstrating the necessary database, systems design, and data architecture knowledge. Eight or more years of progressively responsible experience in enterprise data architecture, data modeling, data platform design, or a closely related discipline. Advanced SQL and data modeling proficiency, including conceptual, logical, physical, and dimensional modeling, with experience designing across operational databases, analytical platforms, cloud environments, and integration layers. Experience establishing adopted architecture standards and leading major data platform, migration, or integration initiatives. Experience with master data management, metadata, data catalogs, or data quality architecture, including the handling of sensitive or business-critical data. Experience with Microsoft SQL Server, Azure SQL, Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, or comparable enterprise data platforms desired but not required Experience with lakehouse or cloud-native architectures, semantic models, Data Vault, enterprise modeling tools, or master data management platforms desired but not required Experience implementing data catalogs or lineage tools such as Microsoft Purview, Collibra, or Alation desired but not required Familiarity with healthcare data privacy and security frameworks and experience in healthcare, financial services, nonprofit, or ministry operations desired but not required Relevant Microsoft, data management, or enterprise architecture certification desired but not required About Christian Healthcare Ministries Founded in 1981, Christian Healthcare Ministries (CHM) is a nonprofit, faith-based health cost sharing ministry dedicated to helping Christians support one another with their medical expenses. For over 45 years, CHM has brought believers together through a shared commitment to faith, compassion, and service. Our mission is to glorify God, show Christian love, and experience God's presence as Christians share each other's medical bills. At CHM, our employees are more than just a team. They are part of a ministry united by a common purpose: serving others, making a meaningful impact, and reflecting Christ's love in the work we do every day.

Job Description Job Title: Software Engineer in Test Location: Cary, NC Onsite Employment Type: Permanent Duration: Full-time About: VLink, founded in 2006, is a leading global provider of software engineering services with next-gen technologies and best-in-class talent. Our Headquarters are in the U.S, and we have offices in 7+ countries from North America-Europe to APAC, with expansion plans in the Middle East. With over 1,000 employees working globally, VLink has helped SMBs, and large enterprises achieve their business goals, and gained the trust of Fortune-250 companies. VLink is 'Great Place to Work Certified ' and has been a consistent winner as- Best Places to Work in CT. Trust, collaboration, and accountability are the three elements that are at the core of VLink's work culture. We value our professionals, providing comprehensive benefits and the opportunity for growth. Job Details: Our client is seeking an experienced Software Engineer in Test and Automation to help teams build and deliver reliable, scalable applications. In this role, you will design reusable testing frameworks, develop automated validation capabilities, and integrate testing into our engineering processes and CI/CD pipelines. You will partner with developers to strengthen testing practices and shared ownership of application quality, rather than serve as a centralized manual testing function. Your future duties and responsibilities: Design, develop, and support reusable testing frameworks and automation capabilities that enable engineering teams to deliver reliable applications Partner with developers to build testability into application designs and establish shared ownership of testing and quality Define risk-based testing strategies that balance fast feedback, meaningful coverage, and maintainable automation Integrate automated validation into development workflows and CI/CD pipelines to identify defects early and improve delivery confidence Build effective tests for APIs, batch processes, event driven workflows, and data integrations, including negative paths and failure recovery Establish reliable test data, mocks, and environment capabilities that make automated tests repeatable and easy to run Improve the reliability and execution time of automated test suites by resolving flaky tests, reducing unnecessary dependencies, and strengthening diagnostics Provide clear visibility into application quality, performance, and release readiness through actionable reporting and agreed upon signoff criteria Guide teams on testing practices, resolve technical roadblocks, and mitigate risks without creating a separate testing bottleneck Explore new testing tools and techniques to improve development agility, engineering efficiency, and the customer experience Required qualifications to be successful in this role: At least 7+ years of experience in software development and test engineering, or test automation, including building reusable testing frameworks and automated validation solutions Experience developing and running automated tests for applications deployed in containerized, cloud environments, preferably AWS Experience with Object Oriented Programming languages using Java or Python, with hands on experience in test automation libraries and frameworks such as REST Assured, JUnit, TestNG, or pytest Solid understanding of REST APIs to design effective tests across synchronous and asynchronous workflows Experience working with Docker containers Strong testing fundamentals and expertise in unit, integration, functional, contract, end to end, performance, and regression testing, including understanding when and where to apply each Experience validating data across relational databases, including data integrity, transformations, and consistency across distributed systems Hands on experience integrating automated tests into CI/CD pipelines using tools such as Jenkins, including test reporting, quality gates, and failure diagnostics Experience developing performance tests to evaluate application throughput, latency, scalability, and reliability under expected and peak workloads Ability to evaluate application readiness using test results, coverage, acceptance criteria, and known risks, and contribute evidence-based recommendations and signoffs Experience with issue tracking/backlog management tools like Jira Good to Have: Experience using mocking frameworks and service virtualization tools, such as Mockito or WireMock, to isolate application behavior, simulate dependencies, and validate failure scenarios Understanding of GraphQL APIs, batch processes, and event driven applications Understanding of distributed application behaviors such as retries, timeouts, duplicate messages, partial failures, and eventual consistency, and how to validate them through automation Education: Bachelor's degree in computer science or a closely related discipline. Benefits: Benefits are offered to eligible professionals on their first day of employment to include: Competitive compensation Comprehensive insurance options Matching contributions through the 401(k) plan and the share purchase plan Paid time off for vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and Well-being programs Employment Practices: VLink is an equal opportunity employer committed to fostering an inclusive environment where diversity is celebrated. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Employment is contingent upon successful completion of a background check. This job application process may use AI-powered tools to assist in screening and evaluating applications based on objective, job-related qualifications. AI is used solely to support the recruitment process and all final hiring decisions are made exclusively by our human recruitment team. Applicant information will be handled in accordance with VLink's privacy policy.

Job Description Senior Data Engineer - PySpark & Databricks Location: Charlotte, North Carolina (Hybrid) Need only locals Experience: 10+ Years Job Type: Contract Job Summary We are seeking an experienced Senior Data Engineer with strong hands-on expertise in PySpark, Databricks, Python, and SQL to design, develop, and maintain scalable data engineering solutions. The ideal candidate will have extensive experience building data pipelines, processing large datasets, developing ETL/ELT workflows, and optimizing data processing performance. The candidate must possess strong programming and problem-solving skills, with the ability to write clean, efficient, and production-ready code. Key Responsibilities Design, develop, and maintain scalable data pipelines using PySpark and Databricks. Write, test, debug, and optimize Python, PySpark, and SQL code. Build and maintain ETL/ELT processes for structured and unstructured data. Develop data transformations and workflows to process large volumes of data. Work with Databricks notebooks, Delta Lake, and Spark-based data processing frameworks. Optimize Spark jobs, troubleshoot performance issues, and improve pipeline efficiency. Implement data quality checks, validation, error handling, and monitoring. Integrate data from multiple sources, including databases, APIs, cloud storage, and enterprise systems. Collaborate with data architects, analysts, and business stakeholders to deliver reliable data solutions. Follow coding standards, version control practices, testing procedures, and CI/CD processes. Required Skills 10+ years of experience in data engineering or related software/data development roles. Strong hands-on experience with Python and PySpark . Practical experience developing data solutions using Databricks . Strong SQL skills, including complex queries, joins, aggregations, and query optimization. Experience building and maintaining ETL/ELT data pipelines. Knowledge of Apache Spark architecture, distributed processing, and performance tuning. Experience with Delta Lake and lakehouse architecture. Strong coding, debugging, troubleshooting, and problem-solving skills. Experience with Git and software development best practices. Familiarity with cloud platforms such as AWS, Azure, or GCP. Strong communication and collaboration skills. Preferred Qualifications Experience with Azure Databricks, AWS Databricks, or another cloud-based data platform. Knowledge of data warehousing, dimensional modeling, and data lake architecture. Experience with orchestration tools such as Airflow, Azure Data Factory, or Databricks Workflows. Familiarity with CI/CD, automated testing, and deployment practices. Experience working in Agile development environments.

Job Description We are seeking an experienced Senior Python Data Processing Developer to design and develop scalable data-processing solutions, implement complex business rules, and support cloud-based data workflows. Key Responsibilities Develop and maintain Python-based data-processing and transformation workflows. Translate business rules and technical requirements into tested, production-ready code. Implement data validation, edit checks, aggregations, calculations, and transformation logic. Develop and maintain cloud-based processing jobs using AWS services. Build and optimize complex SQL queries and PostgreSQL-based data operations. Work with large structured and semi-structured datasets using Spark, PySpark, Polars, or similar technologies. Implement data-quality checks and validate processing outputs for accuracy and completeness. Troubleshoot production data issues and optimize processing performance. Collaborate with business, data, and engineering teams to support ongoing enhancements and releases. Participate in code reviews, testing, documentation, and Agile development activities. Required Skills 6+ years of hands-on Python development experience, with a strong focus on data processing and business-logic implementation. Strong SQL and PostgreSQL experience. Experience developing complex SQL using CTEs, joins, aggregations, update/merge operations, and data transformations. Hands-on experience with AWS services such as: AWS Glue AWS Lambda AWS Step Functions Amazon S3 Strong experience with Spark, PySpark, Polars, or similar large-scale data-processing frameworks. Experience designing and maintaining ETL/data-processing pipelines. Strong experience with data validation, reconciliation, and data-quality checks. Ability to work with large datasets and optimize data-processing performance. Strong debugging and problem-solving skills. Preferred Skills Experience working with statistical, survey, financial, or other complex business-rule-driven datasets. Experience with Pandas or other Python data-processing libraries. Experience with cloud-native and serverless application development. Familiarity with CI/CD pipelines, Git, automated testing, and Agile development practices. Experience supporting production data-processing systems. Work Authorization / Eligibility Due to the nature of the engagement and background investigation requirements, U.S. Citizens and Lawful Permanent Residents (Green Card holders) are required.

Job Description Immediate need for a talented Snowflake Data Engineer. This is a Fulltime opportunity with long-term potential and is located in New York City, NY(Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 26-35391 Pay Range: $130000 - $135000/annum. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key skills; Data Engineer, Snowflake, ETL, SQL, Data Structures Experience: 10-15 Years Strong experience in Data Engineering with expertise in designing and building scalable data pipelines. Hands-on experience with Snowflake, including data modeling, performance tuning, and data warehousing solutions. Proficient in ETL development, data integration, and transformation processes across multiple data sources. Advanced knowledge of SQL for complex query development, data analysis, and optimization. Solid understanding of Data Structures and data processing concepts to support efficient data management. Experience collaborating with cross-functional teams to deliver high-quality, reliable, and scalable data solutions. Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar fulltime positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Job Description Role Summary We are seeking a senior, hands-on GECX Architect to design and implement secure, scalable customer experience solutions on Google Gemini Enterprise for Customer Experience platform. The ideal candidate will combine strong architecture design and coding expertise with deep Contact Center, Google GECX/CCAI, Conversational AI, Agentic AI, GenAI/LLM, and Google Cloud experience. This role requires an innovative architect who can build PoCs and accelerators, troubleshoot complex integrations, and take automation solutions from architecture through production implementation. The architect will analyze requirements, compare solution options, recommend the best approach, guide the team, and personally resolve critical design, development, integration, and platform issues. Key Responsibilities Architect end-to-end GECX solutions across voice, chat, web, mobile, and assisted-service journeys. Translate contact center needs into architecture, technical designs, integration patterns, and delivery plans. Compare Google-native, CCaaS, open-source, and third-party tools; recommend options based on fit, security, scalability, cost, and risk. Build and deploy Agentic Voice and Chat solutions using CX Agent Studio, Conversational Agents, Dialogflow CX, Vertex AI, Gemini, and GCP. Design and implement multi-turn conversations, prompts, orchestration, tool calls, fulfillment, context handling, grounding, and human-agent handoff. Design integrations with IVR, telephony, CCaaS, CRM, APIs, databases, and enterprise systems, including SIP/SIPREC, gRPC, and WebRTC where required. Implement GCP components such as Cloud Run, Cloud Functions, BigQuery, Cloud Storage, IAM, logging, monitoring, and data protection services. Working knowledge implementing Services, Components through GCP Stack like GCS, DLP Templates, Cloud Functions, Big Query etc. Working experience with collecting and reviewing reporting data/logs from Google Logs Explorer (Stack Driver), Google Big Query, Avaya, GTP, MS SQL. Lead hands-on coding, configuration, PoCs, troubleshooting, CI/CD, deployment, and production stabilization. Define AI evaluation for task success, response quality, grounding, hallucinations, guardrails, tool use, and agent trajectory. Guide teams, review designs and code, remove technical blockers, and ensure solutions reach production. Required Skills & Technology 12+ years in solution architecture and engineering, including enterprise contact center, conversational AI, or AI/ML delivery. Hands-on expertise in GECX / Customer Engagement Suite, Google CCAI, CX Agent Studio / Conversational Agents, Dialogflow CX, Vertex AI, Gemini, and GCP. Experience building Agentic Voice or Agentic Chat solutions using LLMs, orchestration, tool/function calling, grounding, guardrails, and enterprise integrations. Strong contact center knowledge: IVR, CTI, routing, queues, transfers, SIP, ANI/DNIS, DTMF, STT/TTS, and CRM/backend integration. Strong Python and/or Java skills, REST/JSON APIs, SQL, Git, CI/CD, cloud troubleshooting, IAM, and secure delivery. Ability to conduct structured tool assessments, make architecture decisions, lead cross-functional teams, and communicate with client stakeholders. Strong verbal and written communication skills. Ability to collaborate with onshore/offshore resources on functional/technical /process aspects. This is not a governance-only role. The architect must remain hands-on and own critical solutions through production. Preferred Qualifications Google Cloud certification, preferably Professional Cloud Architect or a role-relevant equivalent. Experience delivering large-scale CCaaS, contact center transformation, or production agentic AI programs. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Job Description Position : Data Architect Location : Cary, NC (Onsite - Hybrid) Duration : Full Time Mandatory Skills - Must-Have Python, PySpark, Scala and SQL - strong production-level data engineering skills. Azure Databricks - Delta Lake, Spark performance tuning, Jobs/Workflows and Unity Catalog. Azure data services - ADLS Gen2 and Azure Data Factory (ADF). Lakehouse / Medallion Architecture - proven experience implementing Bronze, Silver and Gold layers at enterprise scale. Data Pipeline Engineering - metadata-driven ingestion frameworks, data transformation, data quality and large-scale pipeline optimization. Production AI/LLM Experience - hands-on experience designing and deploying LLM-based solutions, including RAG, embeddings, retrieval and prompt engineering. LLM Frameworks - experience with LangChain, LlamaIndex or LangGraph, plus Azure OpenAI, OpenAI or Databricks Model Serving. Azure DevOps / CI-CD - experience automating data pipeline deployments; Terraform and Databricks Asset Bundles are highly relevant. Technical Leadership - ability to design solutions, write production code, review code and guide data engineering teams. Financial services or insurance data, especially financial reconciliation, general ledger or accounting data. AI-driven data quality, anomaly detection and automated reconciliation. Knowledge graphs, ontologies, semantic layers or enterprise Text-to-SQL solutions. Azure security, data governance, PII protection and fine-grained access controls. MLOps/LLMOps, model evaluation and production AI monitoring.

Job Description Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Cloud Solution Architect In this role, you will be responsible for coding, testing and delivering high quality deliverables, and should be willing to learn new technologies. Role Description The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will define the target-state architecture, establish migration patterns and standards, validate solution designs, and ensure all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. Qualifications Strong years of enterprise architecture and software engineering experience. years designing and implementing cloud-based solutions. Demonstrated experience leading large-scale cloud migration and modernization programs. Deep expertise in AWS services, cloud-native architecture, infrastructure automation, resiliency, security, and disaster recovery. Experience working within highly regulated financial services environments. Strong stakeholder management and communication skills, with the ability to engage in senior technology and business leadership. Key Responsibilities Define and govern the target-state architecture. Lead application assessment and migration strategy development. Establish architectural standards, patterns, and guardrails. Provide technical oversight for migration, testing, cutover, and decommissioning activities. Identify and mitigate architectural, operational, and security risks. Support governance, design reviews, and executive-level decision-making. The approximate annual base compensation range for this position is $55000 to $68500. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity. Work-from-Anywhere Roles - "Los Angeles California-based candidates are not eligible for this role" Location-based Roles (e.g., Richardson roles - metro area can be adjusted by role location) - "Los Angeles, California based candidates are not eligible for this role. area candidates are eligible for this role only Why join Genpact? • Lead AI-first transformation - Build and scale AI solutions that redefine industries • Make an impact - Drive change for global enterprises and solve business challenges that matter • Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills • Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace • Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build • Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Job Description Senior Integration Engineer - Informatica Cloud CAI / CDI About The Role We are partnering with a global consumer products company seeking a Senior Integration Engineer with deep, hands-on Informatica Cloud Application Integration (CAI) expertise and demonstrated Cloud Data Integration (CDI) design and development experience. You will own integrations from requirements through production, partner closely with an Integration Architect, and help strengthen business-critical interfaces across global operations. Location: Carlsbad, CA - onsite five days per week. Candidates willing to relocate will be considered. Engagement: Approximately 3-4 months consulting-to-hire on W-2; direct hire may also be considered. Candidates should be interested in permanent employment. Compensation Permanent base salary: $150,000-$165,000 upon conversion or direct hire. Consulting benefits available include health, dental, and vision coverage, paid holidays, and paid sick days. Primary Responsibilities Design, develop, test, and deploy application integrations using Informatica Cloud CAI and data integration solutions using CDI. Build real-time and batch interfaces connecting enterprise applications, cloud services, on-premises systems, and data warehouses. Translate business scenarios into integration designs, selecting appropriate data flows, transformations, interfaces, and error-handling approaches. Partner with the Integration Architect on technical decisions and serve as a senior resource for development and production troubleshooting. Improve integration reliability through monitoring, SQL and interface performance tuning, root cause analysis, and lasting corrective actions. Maintain technical documentation, develop unit tests, participate in code reviews, and support consistent deployment practices. Collaborate with distributed developers and business stakeholders, mentor junior engineers, and lead smaller technical initiatives. Assist with occasional urgent production incidents outside normal hours; there is no regular on-call rotation. Candidate Qualifications Substantial hands-on Informatica Cloud CAI experience, including personally designing, building, deploying, and troubleshooting application integration solutions. Demonstrated CDI design and implementation experience, with the ability to explain specific mappings, transformations, design decisions, and production challenges from projects you have delivered. At least 3 years working with Informatica Cloud, 6+ years delivering enterprise integrations, and 5 years designing enterprise application integration architectures. Advanced SQL skills and experience building ETL workflows between transactional systems and data warehouses. Strong knowledge of REST APIs, API management, middleware, and real-time and batch integration patterns. Experience working with JSON, XML, flat files, and Python scripting. Familiarity with cloud platforms, messaging technologies, version control, and CI/CD practices. Kafka experience is preferred. Understanding of data privacy requirements and their implications for integration design. Strong communication, independent problem-solving, and ownership of technical outcomes. Bachelor's degree in computer science, engineering, information systems, or a related technical discipline. Availability to work onsite in Carlsbad five days per week. Candidates should be prepared to walk through a CAI solution they personally built and explain how they would design and implement a CDI solution for a practical business scenario. About Sayva Solutions: Sayva Solutions is an accounting, finance, technology, business transformation, and human resources professional services firm focused on building long-term relationships through teamwork and doing what's best for others. By partnering with Sayva, you gain access to an experienced team with a strong network of trusted clients, market insights, and personalized career guidance. We help you navigate opportunities that align with your professional and personal goals, ensuring you are prepared, informed, and positioned for success in your job search.

Job Description If you're a people-first engineering leader who thrives on transformation, AI, and building great software teams, this is an opportunity to make a meaningful impact. Full Time, Direct Hire $175K-$200K Remote or Hybrid in Westchester, NY (2 days on site) People management, software development Management, AI Assisted software development, CI/CD, Devops, software architecture, automation, mobile development, front end development, Agile We're seeking a Software Engineering Manager to lead and grow high-performing engineering teams while modernizing engineering practices, delivery, and developer productivity. What You'll Do Lead, mentor, and develop engineering teams and technical leaders. Drive Agile transformation, CI/CD, automation, and AI-assisted development. Improve engineering productivity, quality, reliability, and delivery. Partner with Product and cross-functional teams to deliver customer-focused solutions. Establish strong practices around observability, monitoring, and operational excellence. What We're Looking For 3+ years of software engineering leadership experience. Proven experience leading and scaling Agile engineering organizations. Strong knowledge of modern software development, cloud, APIs, web, and mobile technologies. Experience with AI-assisted engineering, CI/CD, automation, and production systems. Strong people-management skills, including coaching, performance management, and team development. Mobile or frontend engineering background strongly preferred. Preferred: Azure, C#, JavaScript/TypeScript, React, SQL/Snowflake, Kotlin/Swift, GitHub Actions, and observability platforms.

Job Description We are hiring a Salesforce Developer with extensive Marketing Cloud experience to own the hands-on engineering of our customer engagement platform. You will writeproduction-grade code, configure and customize Marketing Cloud and its Salesforceintegrations, and review the work of others to keep quality high. This is an individual-contributor role with technical leadership: you set coding standards,make design calls and raise the bar for the team, while still building every week. Key Responsibilities Coding and development Write clean, tested, reusable code in AMPscript, SSJS, SQL, HTML/CSS and, whereneeded, Apex, Lightning Web Components and JavaScript. Build complex multi-channel journeys, automations, CloudPages, preference centersand dynamic content from business requirements. Develop REST and SOAP API integrations between Marketing Cloud, Salesforce CRMand external systems, with error handling, logging and retries. Build scalable data pipelines: imports, exports, SFTP transfers and query- basedtransformations on large data volumes. Configuration Configure Email Studio, Journey Builder, Automation Studio, Contact Builder, MobileStudio and Advertising Studio, including business units, roles and permissions. Set up Marketing Cloud Connect, sender authentication (SPF, DKIM, DMARC),sending domains, IPs, subscriber and consent settings. Design and maintain data extensions, relationships and sendable data models. Salesforce Developer - Marketing Cloud Customization Customize templates, content blocks and personalization logic for multi-brand, multi-region and multi-language programs. Extend standard functionality with custom scripts, activities and Salesforce core customizations that fit business processes. Tailor Marketing Cloud to CRM data (Sales and Service Cloud objects, Flow, triggers)so campaigns respond to customer behavior. Code review and technical leadership Review code, SQL, scripts, journeys and configuration changes for correctness,performance, security and maintainability. Define and enforce coding standards, naming conventions, documentation and release practices. Lead technical design discussions, estimate work, and mentor developers andmarketing operations staff. Troubleshoot production issues and own root-cause analysis and fixes. What Success Looks Like Campaigns and journeys launch on time, with accurate targeting and personalization. Data flows between Marketing Cloud, CRM and other systems are reliable, monitoredand well documented. Deliverability, engagement and platform performance improve measurably over time. Marketing teams are self-sufficient on routine work and rely on you for complex, high-value builds. Requirements Required Qualifications 5+ years of Salesforce or CRM development, including 3+ years of deep, hands-onMarketing Cloud experience. Expert coding skills in AMPscript, SSJS and SQL, with strong HTML and CSS forresponsive email. Working proficiency in Apex, Lightning Web Components and Flow on the coreSalesforce platform. Proven delivery of complex Journey Builder and Automation Studio solutions at scale. Strong experience integrating Marketing Cloud with Salesforce CRM (MarketingCloud Connect) and third-party systems via REST and SOAP APIs. Demonstrated experience conducting code reviews and setting technical standards. Solid grasp of data modeling, deliverability, consent and privacy regulations (GDPR,CAN-SPAM). Clear communication, and the ability to explain trade-offs to technical and non-technical stakeholders. Preferred Qualifications Marketing Cloud Developer certification (strongly preferred), plus PlatformDeveloper I or II, Marketing Cloud Consultant or Administrator. Experience with Data Cloud, Marketing Cloud Personalization, Marketing CloudIntelligence or Account Engagement (Pardot). Familiarity with MuleSoft or other middleware, Git and CI/CD for Salesforce andMarketing Cloud deployments. Experience leading or mentoring developers in an agile delivery team. Multi-business-unit or multi-brand Marketing Cloud implementations.

Job Description EazyML, () recognized by Gartner, specializes in Responsible AI. Our solutions enable proactive compliance and sustainable automation for enterprises adopting AI at scale. We're also associated with breakthrough startups like Amelia.ai, giving our team exposure to cutting-edge AI products at enterprise scale. About the Role We're looking for a Senior Technical Program Manager who will drive end-to-end program management for AI infrastructure deployments, AI Labs initiatives, AI field deployment programs, automation projects, and AI-driven operational transformation initiatives. The role requires a blend of program management leadership, technical acumen mainly in the AI, change management expertise, executive communication skills, and cross-functional coordination capabilities. Program Leadership & Governance Lead multiple concurrent AI programs and strategic initiatives across Agentic /GenAI, solutions. Define program objectives, scope, schedules, milestones, dependencies, and success criteria. Establish and maintain governance structures, steering committees, executive reviews, and stakeholder communication plans. Develop program roadmaps aligned with customers strategic priorities and growth objectives. Drive Foundation AI projects from kickoff through development to deployment and stabilization Support the customer to translate strategy into executable roadmaps with clear milestones, risks, dependencies, and success metrics Develop project plans consistent with business goals and requirements for algorithm performance Establish and maintain program governance, including planning cadences, status reporting, decision forums, and executive communication Bring together key stakeholders to facilitate timely and lasting decision-making Partner with the extended team on availability constraints, capacity forecasting, deadlines etc Partner with the broader team to continuously improve the development process to enable execution of projects in an organized, methodical, and predictable manner. Identify and manage project risks and issues, ensuring mitigations are in place to reduce potential impacts. Facilitate cross-functional communication across teams for awareness and understanding. Understanding of technical issues to facilitate resolution of project blockers is a plus Proactively identify risks, dependencies, and technical blockers and drive cross-functional resolution with urgency. Lead escalation management and executive communications for high-priority issues. Ensure mitigation strategies are implemented and tracked to closure. QUALIFICATIONS: 10+ years of industry experience in program or project management, preferably involving AI/ML, data platforms or large-scale systems Experience working with AI or applied ML teams Familiarity with agile methodologies, sprint planning, backlog grooming processes Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure program success Familiarity with AI/ML concepts (e.g., model training, inference, data pipelines, evaluation, experimentation), hands-on coding experience is not required Clear, confident communicator who can bridge deeply technical teams and business stakeholders Proven ability to influence without authority and drive alignment across diverse teams Experience working with research teams Background in consumer technology, platforms, or data-driven products Experience organizing projects using Jira or similar platforms Cross-Functional Leadership Collaborate with: Solutions Architects Engineering Integration Center Operations Delivery Teams Product Management Leadership Facilitate alignment across technical and business stakeholders. Resolve conflicts, remove roadblocks, and drive accountability across programs. Resource & Capacity Planning Coordinate resource demand planning across AI project portfolios. Forecast staffing needs and identify capability gaps. Support workforce planning and bench-strength development initiatives. Contribute to the PMO's strategic vision to improve organizational readiness for future AI growth. AI Enablement & Continuous Improvement Support AI training, certification, and capability development programs. Drive adoption of best practices, standards, automation opportunities, and operational efficiencies. Identify opportunities to leverage AI technologies to improve delivery performance and customer experience. Champion continuous improvement initiatives focused on scalability, quality, and delivery excellence. Behaviors and Competencies Communication: Can effectively communicate complex ideas and information to diverse audiences, facilitate effective communication between others, and mentor others in effective communication. Interpersonal Skills: Can communicate effectively, build relationships, resolve conflicts, influence others, and support others in developing their interpersonal skills in major situations. Follow-Up: Can take ownership of tasks, collaborate with others in managing follow-ups, and drive results through effective task completion. Collaboration: Can take ownership of team initiatives, foster a collaborative environment, and ensure that all team members feel valued and heard. Problem-Solving: Can proactively identify and take ownership of complex problem-solving initiatives, initiate preventative measures, collaborate with others to find solutions, and drive successful outcomes. Time Management: Can manage time effectively, accurately estimate the time required for specific tasks, balance multiple tasks, and help others in improving their time management skills. Organization: Can oversee complex projects with multiple moving parts, ensure team alignment with organizational systems, and adapt to changing priorities. Digital Acumen: Can take ownership of complex digital initiatives, collaborate with others, and drive digital results. Leadership: Can take ownership of complex team initiatives, collaborate with others in decision-making processes, and drive team performance.

Job Description Senior Technical Project Manager / Program Manager (Legacy Modernization) Department: Enterprise Application Modernization / Program Management Office (PMO) Project: Mainframe Case Management to Salesforce) Dedicated Tool Stack: Salesforce (Service Cloud / Case Management) Informatica Automic (Atomic) Scheduler MuleSoft Relational Databases (SQL) Mainframe Location: Phoenix, Arizona Position Overview We are seeking a high-caliber Senior Technical Project Manager / Program Owner to serve as the single point of leadership ("Commander-in-Chief") for the modernization of our legacy mainframe case management system, Mainframe , into Salesforce . This role blends executive program management, financial stewardship, product ownership, and hands-on technical fluency. You will own the program budget, drive vendor/resource allocations, steer executive stakeholders, and publish transparent weekly reporting. Critically, you must possess the technical acumen to understand and triage architectural roadblocks across our modernization stack-including Salesforce governor limits , Informatica data conversion pipelines , MuleSoft API interfaces , Automic batch schedules , and QA/UAT defect trends . Key Roles & Responsibilities 1. Executive Leadership & Stakeholder Management Serve as the central authority and primary escalation point for all business sponsors, agency executives, operations directors, and technical leads. Manage competing priorities among disparate stakeholder groups, aligning operational casework requirements with enterprise IT standards and budget guardrails. Lead weekly steering committee meetings, executive briefings, and program governance reviews. Author and distribute comprehensive weekly executive status reports, program health scorecards (budget, schedule, scope, quality), and actionable RAID (Risks, Assumptions, Issues, Dependencies) logs. 2. Budget, Financial Governance & Resource Management Own the total cost of ownership (TCO) and capital expenditure budget for the modernization initiative. Track project burn rates, financial forecasting, invoice reconciliation, and cost variance analysis against planned baselines. Oversee resource planning and vendor performance, ensuring systems integrators, contractors, and internal engineering teams hit delivery milestones within contracted hours. Manage contract deliverables, change requests (CRs), and statement-of-work (SOW) compliance. 3. Technical Literacy, Workstream Triage & Issue Resolution Lead technical triage sessions and cut through complexity to resolve cross-workstream bottlenecks: Salesforce: Understand architecture constraints, customization vs. out-of-the-box trade-offs, security/sharing complexities, and deployment blockers. Informatica & Staging: Comprehend data migration throughput issues, mapping bottlenecks, transformation errors, and legacy conversion exceptions. MuleSoft Interfaces: Understand payload failures, endpoint connectivity, API latency, and contract alignment between systems. Automic (Atomic) Batch Schedulers: Track batch window run times, job failure dependencies, and automated alerting hurdles. QA & Defect Triage: Chair defect triage boards with QA leads, developers, and BAs; enforce severity/priority standards to unblock test execution and UAT. 4. Product Ownership, Scope & Roadmap Governance Define and defend the project roadmap, distinguishing critical Minimum Viable Product (MVP) capabilities from post-launch enhancements. Own scope control: evaluate proposed business changes against budget, technical debt, and cutover timelines to prevent scope creep. Partner with the Salesforce Agile BA to ensure user stories, technical enablers, and acceptance criteria meet strategic business objectives. Make authoritative decisions on legacy data conversion cutoffs (e.g., determining what volume of historical cases convert vs. archive). 5. Delivery, Cutover & Release Governance Maintain an integrated master schedule (IMS) aligning Agile sprint cycles with rigid waterfall milestones (procurement, cutover gates, regulatory audits). Plan and direct dry runs, volume performance testing, and mock cutovers leading up to final production deployment. Author the executive go/no-go criteria and command the cutover war room during production release windows. Qualifications & Skill Requirements Core Experience & Leadership Enterprise Modernization Track Record (8+ years): Proven experience leading large-scale, complex software delivery programs, specifically legacy mainframe-to-cloud core replacements. Proven background managing projects with budgets exceeding 5M-15M+. Dual PM / Product Owner Capabilities: Demonstrated ability to pair traditional PM rigor (budgets, schedules, risk registers, executive status decks) with Agile product ownership (backlog prioritization, MVP definition, trade-off analysis). Technical Breadth & Stack Fluency: Solid working knowledge of the modern integration and data landscape; ability to lead architectural discussions without needing code-level expertise. Direct project experience involving Salesforce (preferably Service Cloud or large Case Management engines). Direct project experience involving enterprise ETL tools ( Informatica ), middleware/APIs ( MuleSoft ), batch schedulers ( Automic / UC4 ), and legacy Mainframe extraction/conversion. Financial & Contractual Acumen: Expertise in project accounting, Earned Value Management (EVM), vendor milestone validation, and resource forecasting. Professional Competencies Executive gravitas: capable of commanding meetings with C-suite stakeholders and pushing back diplomatically on unrealistic demands. High crisis tolerance: calm under pressure when high-severity defects or cutover delays emerge. Master-level written and visual reporting skills using Jira, Confluence, Microsoft Project/Smartsheet, and executive presentation tools. Preferred Certifications Project Management Professional (PMP) or Program Management Professional (PgMP) Certified Scrum Product Owner (CSPO) or PMI-Agile Certified Practitioner (PMI-ACP) Salesforce Certified Associate or Salesforce Certified Administrator (demonstrating platform literacy)

Job Description About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details Resident Network Engineer with Juniper Mist Networking experience Grand Rapids, MI. - Onsite presence at the customer location may be required based on customer needs Rate Range $60 to $70 hr C2C All Inc or $60 hr W2 All Inc LOCATION REQUIREMENTS: Preferred location: Grand Rapids, Michigan Candidates based in or within reasonable commuting distance of Grand Rapids, Michigan are preferred. Onsite presence at the customer location may be required based on customer needs, project activities, and operational requirements. Flexibility to support maintenance windows and production activities outside standard business hours is required when needed. Job Description: SUMMARY: As a Network Operations Resident Engineer, you will provide proactive and reactive technical support services to ensure the stability, performance, and continuous improvement of a large-scale enterprise networking environment. You will serve as a trusted technical advisor, supporting day-to-day network operations, technology transformation initiatives, lifecycle management activities, and strategic projects while maintaining a strong focus on customer satisfaction and operational excellence. The Resident Engineer will work closely with customer stakeholders, client Networking teams, technical support organizations, and engineering resources to deliver operational excellence, minimize operational risk, and support critical business objectives. This role requires a highly motivated engineer with strong experience supporting enterprise campus networks, large-scale switching environments, wireless technologies, network migrations, and customer-facing operational engagements. RESPONSIBILITIES: Serve as a technical advisor to the customer, providing subject matter expertise across Mist WAN Assurance, Session Smart Router (SSR), SD-WAN, and Mist Wireless technologies. Design, deploy, configure, operate, and troubleshoot Mist-managed WAN Edge and SSR-based SD-WAN solutions. Provide technical expertise for WAN Edge configuration, routing, application policies, traffic steering, path selection, high availability, and site connectivity. Support Mist Wireless environments, including wireless configuration, operations, monitoring, troubleshooting, and optimization. Use Marvis Virtual Network Assistant, Service Level Expectations (SLEs), Mist insights, events, alerts, and telemetry to identify and troubleshoot network, end-user connectivity, and performance issues. Troubleshoot complex issues across WAN, SD-WAN, routing, wireless connectivity, authentication, roaming, RF, and application connectivity. Apply strong networking fundamentals to troubleshoot BGP, OSPF, TCP/IP, LAN/WAN connectivity, routing policies, VLANs, DHCP, and DNS. Analyze network behavior and performance to identify root causes and recommend technical and operational improvements. Support production changes, maintenance activities, software upgrades, incident resolution, and technical escalations. Collaborate with customer engineering and operations teams, HPE support organizations, and engineering teams to resolve complex technical issues. Develop and maintain technical documentation, implementation procedures, operational procedures, and troubleshooting guidance. Provide knowledge transfer, technical guidance, and mentoring to customer technical teams. Maintain strong ownership of technical issues and communicate status, risks, findings, and recommendations effectively to customer stakeholders. Operate as an integrated member of the customer's technical environment, collaborating effectively with both customer and HPE teams. Provide onsite support in Grand Rapids, Michigan when required based on customer needs and planned activities. Maintain flexibility to support planned production changes and maintenance activities outside normal business hours when required. TECHNICAL ENVIRONMENT: Mist WAN Assurance currently supports SSR WAN Edge deployments, including traffic steering, application policies, routing policies, high-availability designs, hub-and-spoke topologies, and SSR mesh topologies. EDUCATION AND EXPERIENCE REQUIRED Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or equivalent practical experience. Typically 6-10 years of experience in enterprise networking, network engineering, consulting, or related technical roles. Demonstrated hands-on experience supporting complex enterprise network environments. Previous experience in a customer-facing engineering, consulting, professional services, or Resident Engineer role is preferred. KNOWLEDGE AND SKILLS Advanced hands-on knowledge of Mist WAN Assurance and WAN Edge technologies. Strong practical experience with Session Smart Router (SSR), including deployment, configuration, traffic flows, routing, high availability, multiple WAN paths, monitoring, maintenance, and troubleshooting. Strong understanding of SD-WAN concepts and architectures, including WAN underlay and overlay, application policies, application-aware traffic steering, path selection, resiliency, high availability, and site-to-site connectivity. Strong hands-on experience with Mist Wireless, including WLAN configuration and operations, wireless client connectivity, authentication, roaming, RF troubleshooting, and performance optimization. Experience using Marvis Virtual Network Assistant and Mist AI-driven operational capabilities to investigate and resolve network and user-experience issues. Experience working with Mist Service Level Expectations (SLEs), insights, events, alerts, and telemetry. Strong knowledge of enterprise routing and networking technologies, including BGP, OSPF, TCP/IP, VLANs, routing policies, DHCP, and DNS. Ability to troubleshoot complex, multi-domain network issues and isolate problems across WAN, routing, wireless, client connectivity, and application paths. Knowledge of Mist Wired Assurance and Juniper EX switching is desirable. Excellent analytical and problem-solving skills, with the ability to independently lead complex technical investigations. Strong operational discipline in production environments, including change planning, validation, troubleshooting, escalation, and documentation. Excellent written and verbal communication skills, with the ability to explain complex technical concepts, issues, risks, and recommendations to technical and non-technical stakeholders. Demonstrated ability to operate independently in a customer-facing environment while collaborating effectively with customer teams, support organizations, and engineering resources. Ability to provide technical leadership, knowledge transfer, and mentoring to other engineers and customer technical teams. Relevant Juniper Networking or Mist certifications are desirable. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Job Description Company Description TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers to improve quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs. Job Description TechSur is seeking a Cloud Network Engineer to design and run the network that connects a federal customer's private cloud, data centers, and four public cloud providers. You will build hub-and-spoke topologies, dedicated cloud interconnects, and firewall policies that put Zero Trust principles into practice across AWS, Azure, Google Cloud, and Oracle Cloud. You will work with cloud engineers, security specialists, and customer network teams to integrate cloud networks with the customer's enterprise network and WAN. You will then keep that connectivity secure, observable, and resilient in production. Key Responsibilities Design and implement hub-and-spoke network architectures across AWS, Azure, GCP, and OCI, integrated with the customer's WAN and DNS services. Provision and manage dedicated connections and VPNs: AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect, OCI FastConnect, and IPsec site-to-site VPN. Configure BGP routing, route tables, transit gateways, and failover between on-premises data centers and cloud regions. Create and maintain firewall policies, security groups, and network segmentation for production, integration, development, and sandbox environments. Implement Zero Trust network controls (micro-segmentation, private endpoints, identity-aware access) aligned with NIST SP 800-207 and customer security standards. Build network configurations as code with Terraform and track changes through ServiceNow change management. Monitor network performance and flows with CSP-native tools (VPC Flow Logs, Network Watcher, Network Intelligence Center, OCI Network Path Analyzer) and forward events to Splunk. Troubleshoot connectivity, latency, and DNS issues and support incident response as part of 24/7 operations. Document network designs, runbooks, and diagrams, and provide evidence for ATO packages. Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. At least 5 years of network engineering experience, including cloud networking in at least one major cloud provider. Hands-on experience creating and managing firewall policies in cloud-native and/or next-generation firewalls. Experience provisioning dedicated cloud connections (Direct Connect, ExpressRoute, Cloud Interconnect, or FastConnect) and IPsec VPNs. Strong working knowledge of BGP, TCP/IP, subnetting, routing, load balancing, and DNS. Experience implementing Zero Trust network architecture or segmentation. Ability to obtain and maintain the background investigation required by the federal customer. Preferred Qualifications Cisco CCNP Enterprise or CCNP Security, or Palo Alto Networks PCNSE. AWS Certified Advanced Networking - Specialty, Microsoft Azure Network Engineer Associate (AZ-700), or Google Professional Cloud Network Engineer. Networking experience across more than one of AWS, Azure, GCP, and OCI. Experience with Terraform or Ansible for network automation. Experience with multi-cloud network or Zero Trust platforms (e.g., Aviatrix, Zscaler, Palo Alto Prisma Access). Experience in federal environments and with NIST SP 800-53 network controls. Prior support of a civilian federal agency.

Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Description Title: Business System Analyst - Commercial Insurance HYBRID - Richmond VA Only W2 - No Corp to Corp Open to Sponsorship We are looking for a Data BSA with strong hands-on SQL and data analysis skills who can bridge business requirements and technical data solutions. The candidate should be able to understand complex data, translate requirements into detailed mappings and technical specifications, and leverage Generative AI tools to accelerate analysis, documentation, and prototyping. Key Responsibilities Gather and translate business requirements into data and technical requirements. Use SQL to analyze source data, understand data relationships, validate business rules, and troubleshoot data issues. Develop source-to-target mapping documents, transformation rules, and data specifications. Work closely with Data Engineers and Architects to clarify requirements and support implementation. Leverage GenAI/Copilot tools to: Convert requirements into SQL, pseudo-code, or semi-code prototypes. Generate and enhance source-to-target mappings. Analyze existing SQL and transformation logic. Accelerate technical documentation and requirements analysis. Validate AI-generated outputs against actual data and business requirements. Required Skills Strong hands-on SQL and data analysis skills. Strong understanding of data models, ETL/ELT, data integration, and data warehousing. Experience creating source-to-target mappings and transformation specifications. Ability to translate business requirements into implementation-ready technical artifacts. Hands-on experience using GenAI tools for SQL/code generation, documentation, mapping, or prototyping. Strong communication and analytical/problem-solving skills. Insurance domain experience, preferably with Policy, Claims, Billing, Underwriting, or insurance reporting/data. Good to have but not required Experience with SQL Server, Databricks, Azure and/or Power BI

Job Description Lead the Azure Data Engineering team and provide day-to-day technical direction, delivery oversight, and issue resolution. Design, develop, orchestrate, and maintain scalable ADF pipelines for batch ingestion, data integration, transformation, and downstream processing. Develop complex and reusable data-transformation frameworks using PySpark and Azure Databricks notebooks. Design metadata-driven ingestion, transformation, validation, reconciliation, logging, and restart/recovery components. Build and maintain solutions across ADLS Gen2, Azure Databricks, SQL databases, storage accounts, Azure Key Vault, and upstream/downstream enterprise systems. Migrate RDBMS and traditional ETL workloads to modern Data Lake, ELT, and cloud-native processing patterns. Optimize PySpark workloads for partitioning, caching, shuffle reduction, file sizing, scalability, and efficient processing of large datasets. Implement data-quality rules, control totals, exception handling, auditability, monitoring, alerting, and operational support mechanisms. Support data lake and SQL Server control/governance frameworks, including standards, templates, naming conventions, and directory structures. Analyze defects, incidents, change requests, and enhancement needs; perform root-cause analysis and implement sustainable fixes. Convert functional and business requirements into technical designs, estimates, implementation plans, and deployment activities. Perform code reviews and enforce engineering standards, security practices, source-control discipline, CI/CD, and documentation quality. Coordinate with onsite architects, business analysts, QA teams, application teams, production support teams, and customer stakeholders. Own offshore deliverables, dependencies, risks, status reporting, release readiness, and post-production stabilization. Mentor team members, build technical capability, and ensure high-quality, timely completion of deliverables. Insurance / Reinsurance Domain Expectations: