Job Description Job Description Job Description Jumpmind is looking for a Sr Software Engineer , who is passionate about solving difficult problems with creative software solutions, to join an exciting, growing information technology company. Jumpmind Commerce is at the forefront of the digital revolution in retail stores. Our microservices commerce platform is built to solve the real-world problems retailers face in providing frictionless customer journeys. We are focused on innovation for the store and ecommerce experiences. Our clients are all well-known large retail brands. Requirements Roles and Responsibilities Work as part of a team to collaborate on innovative solutions, participate in code reviews, and deliver enhancements to core products. Analyze software requirements and translate them into technical implementation of new product functionality. Perform root cause analysis and develop solutions to software defects. Collaborate with cross functional teams and internal stakeholders to ensure accuracy and quality delivery of released software. Present technical topics to teammates and demonstrate functionality to business users. Lead small teams to accomplish development initiatives Provide mentorship for other team members Essential Experience, Skills, and Qualifications 5+ years software development experience using modern software languages with exposure to all phases of the software development lifecycle Bachelor's degree in Computer Science or related field Relevant experience in Java, Spring, Angular and SQL Databases Strong problem-solving and communication skills Self-starter with the ability to learn quickly and work independently or as part of a team Solid understanding of and experience with Agile, CI/CD, and DevOps concepts Experience working with customers/end-users Preferred Experience Development experience in retail Relevant experience: Infrastructure automation technologies such as Kubernetes, Helm and Terraform. Developing software using cloud services such as AWS, GCP and Azure. Monitoring tools such as OpenTelemetry and Grafana Build automations such as Gradle, Maven and Github Actions Building APIs using REST
11/14/2026
Full time
Job Description Job Description Job Description Jumpmind is looking for a Sr Software Engineer , who is passionate about solving difficult problems with creative software solutions, to join an exciting, growing information technology company. Jumpmind Commerce is at the forefront of the digital revolution in retail stores. Our microservices commerce platform is built to solve the real-world problems retailers face in providing frictionless customer journeys. We are focused on innovation for the store and ecommerce experiences. Our clients are all well-known large retail brands. Requirements Roles and Responsibilities Work as part of a team to collaborate on innovative solutions, participate in code reviews, and deliver enhancements to core products. Analyze software requirements and translate them into technical implementation of new product functionality. Perform root cause analysis and develop solutions to software defects. Collaborate with cross functional teams and internal stakeholders to ensure accuracy and quality delivery of released software. Present technical topics to teammates and demonstrate functionality to business users. Lead small teams to accomplish development initiatives Provide mentorship for other team members Essential Experience, Skills, and Qualifications 5+ years software development experience using modern software languages with exposure to all phases of the software development lifecycle Bachelor's degree in Computer Science or related field Relevant experience in Java, Spring, Angular and SQL Databases Strong problem-solving and communication skills Self-starter with the ability to learn quickly and work independently or as part of a team Solid understanding of and experience with Agile, CI/CD, and DevOps concepts Experience working with customers/end-users Preferred Experience Development experience in retail Relevant experience: Infrastructure automation technologies such as Kubernetes, Helm and Terraform. Developing software using cloud services such as AWS, GCP and Azure. Monitoring tools such as OpenTelemetry and Grafana Build automations such as Gradle, Maven and Github Actions Building APIs using REST
Job Description Senior Application Support Engineer Location: New York, United States Employment Type: Full-time Industry: Financial Services / FinTech Reports to: Head of Engineering (UK) and Head of US Office About the Role We're seeking an experienced Senior Application Support Engineer to help maintain the stability, reliability, and business continuity of a mission-critical financial technology platform. As the primary technical contact in our US office, you'll work closely with Application Support, Engineering, Product, and Operations teams while sharing support coverage with colleagues in the UK. Our platform runs on Google Cloud Platform (GCP) and connects applications supporting trading, clearing, settlement, books and records, and operational processing. What You'll Do Own production incidents from investigation through resolution, prioritizing business impact, coordinating incident calls, and working with internal teams and external providers. Troubleshoot application and integration failures across services, FIX connections, APIs, and file-based feeds, including reconciliation breaks and processing exceptions. Apply safe mitigations and controlled remediation, assessing downstream impacts before restarting services, replaying messages, or reprocessing files. Monitor production applications, integrations, and scheduled jobs, including critical market-hours, start-of-day, and end-of-day processing. Provide technical support to local teams and participate in client and partner discussions as needed. Maintain technical documentation, runbooks, incident records, and clear handovers across time zones. Support software releases and integration testing, including readiness checks, post-deployment validation, and recovery scenarios. Improve monitoring, alerting, and automation to reduce recurring production issues. Support audit and compliance requests involving application behavior, data flows, and operational controls. What You'll Bring 8+ years of experience in application support, production support, or technical operations supporting live systems. Experience supporting business-critical, interconnected applications, such as trading platforms or payment systems, where availability, accuracy, and timely processing are essential. Previous experience in financial services, investment management, or investment advisory environments. Demonstrated ability to independently diagnose and resolve complex production incidents under pressure. Strong communication and collaboration skills, including working with technical and non-technical stakeholders during incidents. Experience sharing support responsibilities across geographically distributed teams and time zones. Required Technical Skills SQL: Strong proficiency in investigating data issues, validating system state, and supporting controlled remediation. Google Cloud Platform: Hands-on experience supporting cloud-hosted applications using Logs Explorer, Trace, and monitoring platforms such as Datadog. FIX Protocol: Practical knowledge of FIX sessions and order/execution messages, including sequence gaps, rejects, reconnects, and recovery procedures. Distributed Systems: Ability to troubleshoot applications, APIs, messaging systems, and file-based integrations, including delayed, missing, duplicated, or out-of-order processing. Networking and Security: Working knowledge of authentication, networking, and secure file transfer protocols. Scripting: Ability to write scripts to automate operational checks and streamline investigations; Python preferred. Release Management: Understanding of production access controls, change management, deployment environments, release validation, and rollback procedures. Preferred Qualifications Familiarity with investment platforms, brokerage environments, or self-clearing broker-dealer operations. Knowledge of financial instruments, including equities, bonds, and mutual funds. Experience supporting applications integrated with clearing and settlement infrastructure, including DTCC. Experience with Order Management Systems (OMS) and books and records platforms. Knowledge of client onboarding, Know Your Customer (KYC), and Anti-Money Laundering (AML) operations. Experience supporting regulatory reporting processes. Familiarity with GCP infrastructure and containerization technologies, including Compute Engine virtual machines, Managed Instance Groups (MIGs), Cloud Run, Pub/Sub, and Docker. What Success Looks Like You're a hands-on support professional who takes ownership of complex incidents and brings sound judgment, attention to detail, and clear communication to critical situations. You combine technical troubleshooting skills with an understanding of financial services operations and proactively improve production stability and operational efficiency.
11/14/2026
Full time
Job Description Senior Application Support Engineer Location: New York, United States Employment Type: Full-time Industry: Financial Services / FinTech Reports to: Head of Engineering (UK) and Head of US Office About the Role We're seeking an experienced Senior Application Support Engineer to help maintain the stability, reliability, and business continuity of a mission-critical financial technology platform. As the primary technical contact in our US office, you'll work closely with Application Support, Engineering, Product, and Operations teams while sharing support coverage with colleagues in the UK. Our platform runs on Google Cloud Platform (GCP) and connects applications supporting trading, clearing, settlement, books and records, and operational processing. What You'll Do Own production incidents from investigation through resolution, prioritizing business impact, coordinating incident calls, and working with internal teams and external providers. Troubleshoot application and integration failures across services, FIX connections, APIs, and file-based feeds, including reconciliation breaks and processing exceptions. Apply safe mitigations and controlled remediation, assessing downstream impacts before restarting services, replaying messages, or reprocessing files. Monitor production applications, integrations, and scheduled jobs, including critical market-hours, start-of-day, and end-of-day processing. Provide technical support to local teams and participate in client and partner discussions as needed. Maintain technical documentation, runbooks, incident records, and clear handovers across time zones. Support software releases and integration testing, including readiness checks, post-deployment validation, and recovery scenarios. Improve monitoring, alerting, and automation to reduce recurring production issues. Support audit and compliance requests involving application behavior, data flows, and operational controls. What You'll Bring 8+ years of experience in application support, production support, or technical operations supporting live systems. Experience supporting business-critical, interconnected applications, such as trading platforms or payment systems, where availability, accuracy, and timely processing are essential. Previous experience in financial services, investment management, or investment advisory environments. Demonstrated ability to independently diagnose and resolve complex production incidents under pressure. Strong communication and collaboration skills, including working with technical and non-technical stakeholders during incidents. Experience sharing support responsibilities across geographically distributed teams and time zones. Required Technical Skills SQL: Strong proficiency in investigating data issues, validating system state, and supporting controlled remediation. Google Cloud Platform: Hands-on experience supporting cloud-hosted applications using Logs Explorer, Trace, and monitoring platforms such as Datadog. FIX Protocol: Practical knowledge of FIX sessions and order/execution messages, including sequence gaps, rejects, reconnects, and recovery procedures. Distributed Systems: Ability to troubleshoot applications, APIs, messaging systems, and file-based integrations, including delayed, missing, duplicated, or out-of-order processing. Networking and Security: Working knowledge of authentication, networking, and secure file transfer protocols. Scripting: Ability to write scripts to automate operational checks and streamline investigations; Python preferred. Release Management: Understanding of production access controls, change management, deployment environments, release validation, and rollback procedures. Preferred Qualifications Familiarity with investment platforms, brokerage environments, or self-clearing broker-dealer operations. Knowledge of financial instruments, including equities, bonds, and mutual funds. Experience supporting applications integrated with clearing and settlement infrastructure, including DTCC. Experience with Order Management Systems (OMS) and books and records platforms. Knowledge of client onboarding, Know Your Customer (KYC), and Anti-Money Laundering (AML) operations. Experience supporting regulatory reporting processes. Familiarity with GCP infrastructure and containerization technologies, including Compute Engine virtual machines, Managed Instance Groups (MIGs), Cloud Run, Pub/Sub, and Docker. What Success Looks Like You're a hands-on support professional who takes ownership of complex incidents and brings sound judgment, attention to detail, and clear communication to critical situations. You combine technical troubleshooting skills with an understanding of financial services operations and proactively improve production stability and operational efficiency.
Job Description Must Have Technical/Functional Skills Experience: 12+ years of experience in GCP Data Architecture & ETL/ELT pipeline creation, BigQuery, Cloud Platforms or Data Engineering, with at least 5 years as an Architect. Strong programming in Python and Java; query & storage optimization. Cloud Proficiency: Deep expertise in BigQuery, Cloud Storage (GCS), and data orchestration (Cloud Composer / Airflow). Data processing using Dataflow, Dataproc, and microservices. Strong experience with at least one major cloud provider (AWS, GCP, or Azure) and their managed Kubernetes offerings. GenAI & Platform: Practical application development using Gemini Enterprise, Vertex AI, and RAG concepts. Foundation in DevOps (Docker, GKE, CI/CD, IAM). Kubernetes Mastery: Deep, hands-on experience managing production Kubernetes environments, including cluster scaling, RBAC, network plugins (CNI), and storage (CSI). Deployment Tooling: Proven track record of designing complex deployments using Helm and GitOps controllers (ArgoCD/Flux).Scripting & Automation: Proficiency in at least one programming or scripting language (Python, Go, or Bash) for automation and tooling.
11/14/2026
Full time
Job Description Must Have Technical/Functional Skills Experience: 12+ years of experience in GCP Data Architecture & ETL/ELT pipeline creation, BigQuery, Cloud Platforms or Data Engineering, with at least 5 years as an Architect. Strong programming in Python and Java; query & storage optimization. Cloud Proficiency: Deep expertise in BigQuery, Cloud Storage (GCS), and data orchestration (Cloud Composer / Airflow). Data processing using Dataflow, Dataproc, and microservices. Strong experience with at least one major cloud provider (AWS, GCP, or Azure) and their managed Kubernetes offerings. GenAI & Platform: Practical application development using Gemini Enterprise, Vertex AI, and RAG concepts. Foundation in DevOps (Docker, GKE, CI/CD, IAM). Kubernetes Mastery: Deep, hands-on experience managing production Kubernetes environments, including cluster scaling, RBAC, network plugins (CNI), and storage (CSI). Deployment Tooling: Proven track record of designing complex deployments using Helm and GitOps controllers (ArgoCD/Flux).Scripting & Automation: Proficiency in at least one programming or scripting language (Python, Go, or Bash) for automation and tooling.
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.
11/14/2026
Full time
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 Job Summary: We are looking for an experienced Network Architect with deep expertise in Cisco Application Centric Infrastructure (ACI) and cloud networking to design, deploy, and optimize enterprise network infrastructure. The ideal candidate will be proficient in Cisco ACI fabric design and management, with strong skills in integrating cloud environments such as AWS, Azure, or Google Cloud into a hybrid or multi-cloud architecture. Key Responsibilities: •Architect, design, and implement Cisco ACI solutions for scalable and secure data center networks. •Lead the integration of Cisco ACI with cloud networking environments (AWS, Azure, GCP), ensuring seamless connectivity and security. •Develop and enforce network policies, segmentation, and micro-segmentation strategies using Cisco ACI and cloud-native tools. •Collaborate with cloud architects and security teams to build hybrid cloud networking architectures. • Design, implement, and support F5 BIG-IP solutions, including LTM, GTM/DNS, SSL offloading, traffic management, high availability, and application delivery services. •Troubleshoot complex network issues spanning on-premises Cisco ACI fabric and cloud networks. •Monitor network performance, capacity planning, and recommend improvements. •Stay current with Cisco ACI enhancements, cloud networking trends, and emerging technologies. •Support the implementation of IaC (Infrastructure as Code) for network components using tools like Terraform, CloudFormation, or ARM templates. •Provide technical leadership and mentoring to network and cloud teams. •Stay up-to-date on emerging technologies, trends, and best practices in cloud and enterprise networking. Preferred Certifications: •Cisco Certified Network Professional Data Center (CCNP Data Center) •Cisco Certified Internetwork Expert (CCIE) - Data Center or Enterprise Infrastructure •AWS Advanced Networking Specialty •Microsoft Certified: Azure Network Engineer Associate •Google Cloud Professional Cloud Network Engineer
11/14/2026
Full time
Job Description Job Summary: We are looking for an experienced Network Architect with deep expertise in Cisco Application Centric Infrastructure (ACI) and cloud networking to design, deploy, and optimize enterprise network infrastructure. The ideal candidate will be proficient in Cisco ACI fabric design and management, with strong skills in integrating cloud environments such as AWS, Azure, or Google Cloud into a hybrid or multi-cloud architecture. Key Responsibilities: •Architect, design, and implement Cisco ACI solutions for scalable and secure data center networks. •Lead the integration of Cisco ACI with cloud networking environments (AWS, Azure, GCP), ensuring seamless connectivity and security. •Develop and enforce network policies, segmentation, and micro-segmentation strategies using Cisco ACI and cloud-native tools. •Collaborate with cloud architects and security teams to build hybrid cloud networking architectures. • Design, implement, and support F5 BIG-IP solutions, including LTM, GTM/DNS, SSL offloading, traffic management, high availability, and application delivery services. •Troubleshoot complex network issues spanning on-premises Cisco ACI fabric and cloud networks. •Monitor network performance, capacity planning, and recommend improvements. •Stay current with Cisco ACI enhancements, cloud networking trends, and emerging technologies. •Support the implementation of IaC (Infrastructure as Code) for network components using tools like Terraform, CloudFormation, or ARM templates. •Provide technical leadership and mentoring to network and cloud teams. •Stay up-to-date on emerging technologies, trends, and best practices in cloud and enterprise networking. Preferred Certifications: •Cisco Certified Network Professional Data Center (CCNP Data Center) •Cisco Certified Internetwork Expert (CCIE) - Data Center or Enterprise Infrastructure •AWS Advanced Networking Specialty •Microsoft Certified: Azure Network Engineer Associate •Google Cloud Professional Cloud Network Engineer
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.
11/14/2026
Full time
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 We are looking for an experienced Performance Testing / Engineering professional with strong hands-on expertise in designing, developing, and executing enterprise-level performance testing solutions. Required Skills: About 10+ years of previous hands-on experience as Performance Testing/Engineering experience using JMeter, LoadRunner, Locust, or similar tools, including performance architect AI/ML expertise including Python, LLMs, GenAI frameworks, prompt engineering, and AI-assisted automation development. An understanding of web protocols including HTTP, HTTP, Citrix etc. Any experience in any load management applications like LoanIQ (Finastra). If someone has development experience, that will be better. Must be well versed in using VUGen 9.5 or greater for advanced test script development beyond the built-in record and playback capabilities. Requires specialized Python programming skills Experience in Programming languages such as C, Java, SQL query development, Scripting, etc. Ability to use different monitoring/profiling tools (Dynatrace, CA Wily Introscope, AWR reports etc.) to monitor, gather, and report application performance on Windows or Linux machines. Knowledge of Splunk to be able to do better load test analysis. Has an understanding of the distributed load test environments, and the application architecture Knowledge of performance bottlenecks and end-to-end performance web performance measures. Strong analytical skills with a natural ability to research and resolve complex systems, applications and user issues. Excellent verbal and written communication skills. Ability to troubleshoot issues in the load and performance test environment. Strong communication, stakeholder management, problem-solving, and ability to collaborate across development, architecture, production support, and leadership teams. Desired Skills : Ability to use different monitoring/profiling tools (Dynatrace, CA Wily Introscope, AppDynamics, AWR reports etc.) to monitor, gather, and report application performance on Windows or Linux machines. Has an understanding of the distributed load test environments, and the application architecture. An understanding of web protocols including HTTP, Citrix etc. Programming language - including specialized Python programming skills. Experience with cloud platforms (Azure/AWS/GCP), Kubernetes/OpenShift, microservices, and distributed architectures. Observability and monitoring expertise using Dynatrace, Splunk, AppDynamics, Grafana, ELK, or similar platforms. Experience developing AI agents/copilots for test automation, performance analysis, anomaly detection, and predictive capacity planning.
11/14/2026
Full time
Job Description We are looking for an experienced Performance Testing / Engineering professional with strong hands-on expertise in designing, developing, and executing enterprise-level performance testing solutions. Required Skills: About 10+ years of previous hands-on experience as Performance Testing/Engineering experience using JMeter, LoadRunner, Locust, or similar tools, including performance architect AI/ML expertise including Python, LLMs, GenAI frameworks, prompt engineering, and AI-assisted automation development. An understanding of web protocols including HTTP, HTTP, Citrix etc. Any experience in any load management applications like LoanIQ (Finastra). If someone has development experience, that will be better. Must be well versed in using VUGen 9.5 or greater for advanced test script development beyond the built-in record and playback capabilities. Requires specialized Python programming skills Experience in Programming languages such as C, Java, SQL query development, Scripting, etc. Ability to use different monitoring/profiling tools (Dynatrace, CA Wily Introscope, AWR reports etc.) to monitor, gather, and report application performance on Windows or Linux machines. Knowledge of Splunk to be able to do better load test analysis. Has an understanding of the distributed load test environments, and the application architecture Knowledge of performance bottlenecks and end-to-end performance web performance measures. Strong analytical skills with a natural ability to research and resolve complex systems, applications and user issues. Excellent verbal and written communication skills. Ability to troubleshoot issues in the load and performance test environment. Strong communication, stakeholder management, problem-solving, and ability to collaborate across development, architecture, production support, and leadership teams. Desired Skills : Ability to use different monitoring/profiling tools (Dynatrace, CA Wily Introscope, AppDynamics, AWR reports etc.) to monitor, gather, and report application performance on Windows or Linux machines. Has an understanding of the distributed load test environments, and the application architecture. An understanding of web protocols including HTTP, Citrix etc. Programming language - including specialized Python programming skills. Experience with cloud platforms (Azure/AWS/GCP), Kubernetes/OpenShift, microservices, and distributed architectures. Observability and monitoring expertise using Dynatrace, Splunk, AppDynamics, Grafana, ELK, or similar platforms. Experience developing AI agents/copilots for test automation, performance analysis, anomaly detection, and predictive capacity planning.
Job Description This role is ON-SITE Monday - Friday in DC. Must be USC. NO C2C. Capstone IT is helping our client find a Senior Technical Product Manager who will lead the strategy, development, and delivery of a cloud-based research computing platform supporting economic research. This individual will work directly with researchers to understand their computing, data, and workflow needs, then partner with cloud engineering, architecture, security, and data platform teams to build scalable, secure solutions. The ideal candidate combines strong technical product management experience with hands-on knowledge of cloud infrastructure, system design, and platform engineering. This is a true technical product ownership role, not a traditional project or program management position. Top 4 Must-Have Skills Technical Product Management: 6+ years managing technical products, including defining product strategy, roadmaps, requirements, and delivering enterprise platforms from concept through launch. Cloud Infrastructure (AWS, Azure, or GCP): 4+ years working directly with cloud technologies, including compute, storage, networking, security, containers, and orchestration. Cloud System Design and Platform Engineering: Hands-on experience designing cloud-based systems, with knowledge of CI/CD, Infrastructure as Code (IaC), observability, and monitoring. Enterprise Platform Development and Data Governance: Experience developing enterprise platforms while partnering with security and compliance teams on access controls, data governance, and risk management. Responsibilities Product Strategy and Ownership Own the product vision, strategy, and roadmap for a cloud-based economic research platform. Prioritize features based on researcher needs, technical feasibility, and business value. Balance immediate deliverables with long-term scalability and platform development. Technical Platform Development Collaborate with cloud engineers, architects, data platform teams, and security specialists. Translate research computing requirements into actionable technical specifications. Guide platform decisions involving cloud infrastructure, data access, security, and governance. Support modern platform engineering practices and AI-enabled development workflows. Researcher Engagement Work directly with economic researchers to understand their workflows and challenges. Lead user discovery, journey mapping, and workflow design. Ensure platform capabilities support real research computing needs. Delivery and Continuous Improvement Drive cross-functional execution and accountability. Establish success metrics and monitor product adoption, usage, and feedback. Communicate product priorities, progress, and tradeoffs to technical teams and executives. Qualifications Required Minimum 6 years of technical product management experience. Minimum 4 years working directly with AWS, Azure, or GCP in a product or engineering capacity. Strong knowledge of cloud computing, storage, networking, security, containers, and orchestration. Hands-on cloud system design experience. Knowledge of CI/CD, IaC, observability, and monitoring. Understanding of modern AI-based development workflows. Proven experience launching enterprise or R&D-focused products. Experience defining enterprise platform strategy and roadmaps. Experience working with security and compliance teams on data governance, access controls, and risk reviews. Ability to translate complex technical requirements into product decisions. Nice to Have Experience supporting academic or research-based workflows. Familiarity with research computing environments and data-intensive workloads
11/14/2026
Full time
Job Description This role is ON-SITE Monday - Friday in DC. Must be USC. NO C2C. Capstone IT is helping our client find a Senior Technical Product Manager who will lead the strategy, development, and delivery of a cloud-based research computing platform supporting economic research. This individual will work directly with researchers to understand their computing, data, and workflow needs, then partner with cloud engineering, architecture, security, and data platform teams to build scalable, secure solutions. The ideal candidate combines strong technical product management experience with hands-on knowledge of cloud infrastructure, system design, and platform engineering. This is a true technical product ownership role, not a traditional project or program management position. Top 4 Must-Have Skills Technical Product Management: 6+ years managing technical products, including defining product strategy, roadmaps, requirements, and delivering enterprise platforms from concept through launch. Cloud Infrastructure (AWS, Azure, or GCP): 4+ years working directly with cloud technologies, including compute, storage, networking, security, containers, and orchestration. Cloud System Design and Platform Engineering: Hands-on experience designing cloud-based systems, with knowledge of CI/CD, Infrastructure as Code (IaC), observability, and monitoring. Enterprise Platform Development and Data Governance: Experience developing enterprise platforms while partnering with security and compliance teams on access controls, data governance, and risk management. Responsibilities Product Strategy and Ownership Own the product vision, strategy, and roadmap for a cloud-based economic research platform. Prioritize features based on researcher needs, technical feasibility, and business value. Balance immediate deliverables with long-term scalability and platform development. Technical Platform Development Collaborate with cloud engineers, architects, data platform teams, and security specialists. Translate research computing requirements into actionable technical specifications. Guide platform decisions involving cloud infrastructure, data access, security, and governance. Support modern platform engineering practices and AI-enabled development workflows. Researcher Engagement Work directly with economic researchers to understand their workflows and challenges. Lead user discovery, journey mapping, and workflow design. Ensure platform capabilities support real research computing needs. Delivery and Continuous Improvement Drive cross-functional execution and accountability. Establish success metrics and monitor product adoption, usage, and feedback. Communicate product priorities, progress, and tradeoffs to technical teams and executives. Qualifications Required Minimum 6 years of technical product management experience. Minimum 4 years working directly with AWS, Azure, or GCP in a product or engineering capacity. Strong knowledge of cloud computing, storage, networking, security, containers, and orchestration. Hands-on cloud system design experience. Knowledge of CI/CD, IaC, observability, and monitoring. Understanding of modern AI-based development workflows. Proven experience launching enterprise or R&D-focused products. Experience defining enterprise platform strategy and roadmaps. Experience working with security and compliance teams on data governance, access controls, and risk reviews. Ability to translate complex technical requirements into product decisions. Nice to Have Experience supporting academic or research-based workflows. Familiarity with research computing environments and data-intensive workloads
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.
11/14/2026
Full time
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 Employment Type: Contract-to-Hire (FTE conversion after 6 months) Location: Onsite/Hybrid (mostly on-site with some remote days) Miami, FL (preferred) Fort Lauderdale or Palm Beach area offices also considered Work Schedule : 40 hours/week (8am - 5pm) Team: Authentication Services Interview Process : 2 rounds (Video > Onsite) About the Role Our client, a large enterprise in the energy and utilities sector, is looking for a Senior Active Directory Engineer to join its Authentication Services team on a 6-month contract-to-hire. This person should be able to grow into an architect-level role. The team owns architecture, engineering, standards, projects and automation for the company's identity infrastructure, while day-to-day operations are handled by an on-prem support team and a managed services partner. You will work directly with the hiring manager and the team's senior architect. The role covers on-prem Active Directory and Azure/Entra ID, plus DNS, DHCP and internal PKI, and offers a chance to shape the next generation of the environment, including domain consolidation and an upcoming M&A integration. Key Responsibilities Architect, engineer and modernize a multi-domain, multi-forest on-prem Active Directory environment, keeping it secure and compliant Build automated, monitored, supportable solutions that replace manual work Engineer Azure/Entra ID services: SSO, app registrations, secrets and non-human identities Own DNS, DHCP and internal PKI/certificate services, extending certificate automation through ServiceNow Lead domain consolidation and M&A integration efforts Partner with the IAM team on a new identity governance tool and object lifecycle automation Delegate and automate operational work with the on-prem support team and managed services partner Assess the environment and recommend improvements and next-gen tooling Support occasional after-hours changes and business continuity events Required Qualifications 10+ years of experience in enterprise infrastructure, with senior-level Active Directory engineering Deep on-prem Active Directory experience: multiple domains and forests, legacy architecture, and keeping it secure, compliant and modernized (Azure-only backgrounds will not be a fit) Automation mindset: scripting or coding skills (PowerShell preferred) and a track record of building automated, monitored, supportable solutions instead of manual "click, click" work Preferred Qualifications Azure / Entra ID (SSO, app registrations, secrets, non-human identities) DNS, DHCP and internal PKI / certificate services PowerShell, Python, Ansible, Terraform ServiceNow, especially spoke knowledge of AD, Azure, AWS and GCP connectors CyberArk, Tanium, VMware, AWS, Google Cloud Domain consolidation, M&A integration, identity governance or object lifecycle automation experience Microsoft on-prem certifications (a plus, not required)
11/14/2026
Full time
Job Description Employment Type: Contract-to-Hire (FTE conversion after 6 months) Location: Onsite/Hybrid (mostly on-site with some remote days) Miami, FL (preferred) Fort Lauderdale or Palm Beach area offices also considered Work Schedule : 40 hours/week (8am - 5pm) Team: Authentication Services Interview Process : 2 rounds (Video > Onsite) About the Role Our client, a large enterprise in the energy and utilities sector, is looking for a Senior Active Directory Engineer to join its Authentication Services team on a 6-month contract-to-hire. This person should be able to grow into an architect-level role. The team owns architecture, engineering, standards, projects and automation for the company's identity infrastructure, while day-to-day operations are handled by an on-prem support team and a managed services partner. You will work directly with the hiring manager and the team's senior architect. The role covers on-prem Active Directory and Azure/Entra ID, plus DNS, DHCP and internal PKI, and offers a chance to shape the next generation of the environment, including domain consolidation and an upcoming M&A integration. Key Responsibilities Architect, engineer and modernize a multi-domain, multi-forest on-prem Active Directory environment, keeping it secure and compliant Build automated, monitored, supportable solutions that replace manual work Engineer Azure/Entra ID services: SSO, app registrations, secrets and non-human identities Own DNS, DHCP and internal PKI/certificate services, extending certificate automation through ServiceNow Lead domain consolidation and M&A integration efforts Partner with the IAM team on a new identity governance tool and object lifecycle automation Delegate and automate operational work with the on-prem support team and managed services partner Assess the environment and recommend improvements and next-gen tooling Support occasional after-hours changes and business continuity events Required Qualifications 10+ years of experience in enterprise infrastructure, with senior-level Active Directory engineering Deep on-prem Active Directory experience: multiple domains and forests, legacy architecture, and keeping it secure, compliant and modernized (Azure-only backgrounds will not be a fit) Automation mindset: scripting or coding skills (PowerShell preferred) and a track record of building automated, monitored, supportable solutions instead of manual "click, click" work Preferred Qualifications Azure / Entra ID (SSO, app registrations, secrets, non-human identities) DNS, DHCP and internal PKI / certificate services PowerShell, Python, Ansible, Terraform ServiceNow, especially spoke knowledge of AD, Azure, AWS and GCP connectors CyberArk, Tanium, VMware, AWS, Google Cloud Domain consolidation, M&A integration, identity governance or object lifecycle automation experience Microsoft on-prem certifications (a plus, not required)
Job Description Job Description Summary : DXC's Global Cyber Security team is building AI-enabled security capabilities that make our risk management faster, more consistent, and more scalable. AI Security Engineers design, build, and operate the solutions that power vulnerability management, cloud security posture management, DevSecOps, risk management, and security metrics across DXC's global environment. You will combine security domain knowledge with software engineering and AI to turn manual security processes into automated, reliable, and measurable systems. You will work closely with the Vulnerability Management Lead, Data Protection Manager, security architects, risk analysts, cloud and platform engineers, and application development teams. The role suits a builder who is comfortable working in code, prototyping quickly with AI-assisted development tools, and taking solutions from proof of concept to production. Roles and Responsibilities Design, build, and maintain AI-enabled security solutions that automate vulnerability triage, enrichment, prioritization, and ticket routing. Use AI-assisted development ("vibe coding") and modern engineering practices to rapidly prototype security tools, then harden them for production use. Build automation workflows and integrations across scanners, cloud control planes, CI/CD pipelines, ticketing systems such as Azure DevOps, and SIEM and SOAR platforms. Develop cloud security posture management capabilities, including automated misconfiguration detection, policy-as-code, drift remediation, and guardrails for multi-cloud environments. Embed security into DevSecOps pipelines through automated SAST, DAST, SCA, secrets detection, container and infrastructure-as-code scanning, and AI-assisted code review and fix suggestions. Engineer AI solutions for risk management, such as evidence collection, control testing, risk register enrichment, and automated assessment support. Build security dashboards and metrics pipelines that give leadership and practitioners accurate, timely views of posture, backlog, remediation performance, and risk trends. Design human-in-the-loop controls, approval gates, and audit logging for automated and AI-driven actions, so that automation is safe, governed, and explainable. Evaluate and validate AI models, agents, and tools for accuracy, false-positive rates, cost, and security, and document their limitations. Apply secure coding and engineering practices to security tooling itself, including secrets management, least-privilege access, dependency hygiene, and testing. Produce clear technical documentation, runbooks, and knowledge articles so that solutions can be operated and handed off reliably. Partner with the security operations, governance, and IT teams to identify manual processes that are good candidates for automation and deliver them iteratively. Skills and Attributes for Success Strong programming skills in Python and PowerShell, with working knowledge of JavaScript or TypeScript and familiarity with infrastructure-as-code tools such as Terraform or Bicep. Practical experience using AI-assisted coding tools and LLM APIs, with an understanding of prompt design, evaluation, and the limits of model output. Experience building API integrations and event-driven automation, including REST APIs, webhooks, and message queues. Working knowledge of cloud security posture management and cloud platforms, particularly Azure and Microsoft 365, with exposure to AWS or GCP. Familiarity with DevSecOps tooling and CI/CD platforms such as Azure DevOps, GitHub Actions, or GitLab. Understanding of vulnerability management, threat intelligence, and risk frameworks such as NIST CSF, NIST AI RMF, and CIS Benchmarks. Ability to design dashboards and metrics using tools such as Power BI, Kusto (KQL), or similar platforms. Strong problem-solving skills, a bias toward action, and comfort turning ambiguous security problems into working solutions. Clear communication skills, with the ability to explain technical designs to both engineers and non-technical stakeholders. Requirements Bachelor's degree in computer science, Information Systems, Engineering, or a similar discipline, or equivalent experience. Minimum of 3 years of experience in security engineering, security automation, DevSecOps, or software engineering with a security focus. Demonstrated experience building automation or tooling that is in production use, ideally in a security context. Hands-on experience with at least one of: vulnerability management platforms, cloud security posture management tools, SAST/DAST/SCA tooling, or SIEM/SOAR platforms. Experience with Microsoft Defender for Cloud, Microsoft Sentinel, Microsoft Defender for Endpoint, or equivalent platforms. Familiarity with Azure DevOps and Git-based version control workflows. Experience with AI or LLM application development, including retrieval-augmented generation, agent frameworks, or evaluation of model outputs, is strongly preferred.
11/14/2026
Full time
Job Description Job Description Summary : DXC's Global Cyber Security team is building AI-enabled security capabilities that make our risk management faster, more consistent, and more scalable. AI Security Engineers design, build, and operate the solutions that power vulnerability management, cloud security posture management, DevSecOps, risk management, and security metrics across DXC's global environment. You will combine security domain knowledge with software engineering and AI to turn manual security processes into automated, reliable, and measurable systems. You will work closely with the Vulnerability Management Lead, Data Protection Manager, security architects, risk analysts, cloud and platform engineers, and application development teams. The role suits a builder who is comfortable working in code, prototyping quickly with AI-assisted development tools, and taking solutions from proof of concept to production. Roles and Responsibilities Design, build, and maintain AI-enabled security solutions that automate vulnerability triage, enrichment, prioritization, and ticket routing. Use AI-assisted development ("vibe coding") and modern engineering practices to rapidly prototype security tools, then harden them for production use. Build automation workflows and integrations across scanners, cloud control planes, CI/CD pipelines, ticketing systems such as Azure DevOps, and SIEM and SOAR platforms. Develop cloud security posture management capabilities, including automated misconfiguration detection, policy-as-code, drift remediation, and guardrails for multi-cloud environments. Embed security into DevSecOps pipelines through automated SAST, DAST, SCA, secrets detection, container and infrastructure-as-code scanning, and AI-assisted code review and fix suggestions. Engineer AI solutions for risk management, such as evidence collection, control testing, risk register enrichment, and automated assessment support. Build security dashboards and metrics pipelines that give leadership and practitioners accurate, timely views of posture, backlog, remediation performance, and risk trends. Design human-in-the-loop controls, approval gates, and audit logging for automated and AI-driven actions, so that automation is safe, governed, and explainable. Evaluate and validate AI models, agents, and tools for accuracy, false-positive rates, cost, and security, and document their limitations. Apply secure coding and engineering practices to security tooling itself, including secrets management, least-privilege access, dependency hygiene, and testing. Produce clear technical documentation, runbooks, and knowledge articles so that solutions can be operated and handed off reliably. Partner with the security operations, governance, and IT teams to identify manual processes that are good candidates for automation and deliver them iteratively. Skills and Attributes for Success Strong programming skills in Python and PowerShell, with working knowledge of JavaScript or TypeScript and familiarity with infrastructure-as-code tools such as Terraform or Bicep. Practical experience using AI-assisted coding tools and LLM APIs, with an understanding of prompt design, evaluation, and the limits of model output. Experience building API integrations and event-driven automation, including REST APIs, webhooks, and message queues. Working knowledge of cloud security posture management and cloud platforms, particularly Azure and Microsoft 365, with exposure to AWS or GCP. Familiarity with DevSecOps tooling and CI/CD platforms such as Azure DevOps, GitHub Actions, or GitLab. Understanding of vulnerability management, threat intelligence, and risk frameworks such as NIST CSF, NIST AI RMF, and CIS Benchmarks. Ability to design dashboards and metrics using tools such as Power BI, Kusto (KQL), or similar platforms. Strong problem-solving skills, a bias toward action, and comfort turning ambiguous security problems into working solutions. Clear communication skills, with the ability to explain technical designs to both engineers and non-technical stakeholders. Requirements Bachelor's degree in computer science, Information Systems, Engineering, or a similar discipline, or equivalent experience. Minimum of 3 years of experience in security engineering, security automation, DevSecOps, or software engineering with a security focus. Demonstrated experience building automation or tooling that is in production use, ideally in a security context. Hands-on experience with at least one of: vulnerability management platforms, cloud security posture management tools, SAST/DAST/SCA tooling, or SIEM/SOAR platforms. Experience with Microsoft Defender for Cloud, Microsoft Sentinel, Microsoft Defender for Endpoint, or equivalent platforms. Familiarity with Azure DevOps and Git-based version control workflows. Experience with AI or LLM application development, including retrieval-augmented generation, agent frameworks, or evaluation of model outputs, is strongly preferred.
Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.
11/14/2026
Full time
Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.
Job Description Azure/Terraform Engineer Job Description We are seeking a hands-on Azure/Terraform Engineer to support enterprise cloud infrastructure development and application migrations from GCP to Azure within a healthcare environment. This role will focus on building secure Azure infrastructure, developing reusable Terraform modules, configuring networking and application security, and leading migrations through production cutover and GCP decommissioning. Key Responsibilities Develop and maintain reusable Terraform modules for Azure infrastructure, including AKS, networking, Key Vault, ACR, PostgreSQL, and storage services. Lead hands-on application and infrastructure migrations from GCP to Azure. Configure Azure Application Gateway, WAF v2, and AKS ingress using AGIC. Implement secure cloud infrastructure, least-privilege RBAC, and access controls. Refactor and optimize existing Terraform configurations, including state management and infrastructure imports. Troubleshoot infrastructure, networking, and security issues. Required Qualifications 5+ years of Infrastructure as Code experience, including 3+ years developing reusable Terraform modules. 3+ years of hands-on Azure experience with services such as AKS, VNets, Key Vault, ACR, PostgreSQL, and Azure Storage. 2+ years of experience configuring Azure Application Gateway and WAF v2. Direct experience migrating applications and infrastructure from GCP to Azure. Strong understanding of Terraform state management, cloud networking, RBAC, and security best practices. Preferred Qualifications Experience with GCP services, enterprise Terraform module libraries, and NextGen Networks. Familiarity with Venafi/PKI certificate management and Prisma Cloud remediation.
11/14/2026
Full time
Job Description Azure/Terraform Engineer Job Description We are seeking a hands-on Azure/Terraform Engineer to support enterprise cloud infrastructure development and application migrations from GCP to Azure within a healthcare environment. This role will focus on building secure Azure infrastructure, developing reusable Terraform modules, configuring networking and application security, and leading migrations through production cutover and GCP decommissioning. Key Responsibilities Develop and maintain reusable Terraform modules for Azure infrastructure, including AKS, networking, Key Vault, ACR, PostgreSQL, and storage services. Lead hands-on application and infrastructure migrations from GCP to Azure. Configure Azure Application Gateway, WAF v2, and AKS ingress using AGIC. Implement secure cloud infrastructure, least-privilege RBAC, and access controls. Refactor and optimize existing Terraform configurations, including state management and infrastructure imports. Troubleshoot infrastructure, networking, and security issues. Required Qualifications 5+ years of Infrastructure as Code experience, including 3+ years developing reusable Terraform modules. 3+ years of hands-on Azure experience with services such as AKS, VNets, Key Vault, ACR, PostgreSQL, and Azure Storage. 2+ years of experience configuring Azure Application Gateway and WAF v2. Direct experience migrating applications and infrastructure from GCP to Azure. Strong understanding of Terraform state management, cloud networking, RBAC, and security best practices. Preferred Qualifications Experience with GCP services, enterprise Terraform module libraries, and NextGen Networks. Familiarity with Venafi/PKI certificate management and Prisma Cloud remediation.
Job Description We're working with a global trading technology firm scaling its research compute infrastructure across on-premises environments and public cloud platforms. This is a hands-on engineering opportunity spanning large-scale Linux systems, CPU/GPU compute, high-performance storage and cloud infrastructure. You'll help build and optimise the platforms used for complex simulations, quantitative modelling and computationally intensive research. What You'll Be Working On Building and scaling Linux-based HPC clusters across on-premises and cloud environments. Supporting CPU and GPU compute infrastructure for demanding research workloads. Engineering high-throughput storage solutions for large-scale data processing and simulation. Troubleshooting complex performance issues across Linux, networking, storage and compute. Automating infrastructure provisioning and configuration using Ansible, Terraform and similar tooling. Working with AWS, GCP or Azure to expand compute capacity and improve platform scalability. Evaluating new hardware, infrastructure technologies and approaches to HPC optimisation. Collaborating with software engineers and quantitative research teams to deliver reliable, high-performance compute environments. What We're Looking For Strong Linux systems knowledge and infrastructure troubleshooting skills. Experience with HPC, large-scale compute clusters or distributed infrastructure. Familiarity with cloud platforms such as AWS, GCP or Azure. Experience witah infrastructure automation using Ansible, Terraform or similar tools. Understanding of compute, storage and networking fundamentals. Exposure to GPU computing, high-performance storage or cluster management is advantageous. Python or Bash scripting experience is beneficial. Strong problem-solving skills and an interest in performance engineering and scalable infrastructure. What Can You Expect? Work on the compute infrastructure powering advanced quantitative and options research. Gain exposure to large-scale Linux environments, GPU computing and hybrid cloud architecture. Solve complex infrastructure challenges across compute, storage and networking. Collaborate with highly skilled infrastructure engineers, developers and quantitative researchers. Base salary: $200,000-$250,000 USD , plus discretionary performance bonus. Comprehensive healthcare, retirement benefits, generous paid leave and professional development opportunities. Interested in building infrastructure where computational performance really matters? We'd love to hear from you. Is this role not quite a fit? Feel free to check our website for more openings and let's get in touch for your next challenge!
11/14/2026
Full time
Job Description We're working with a global trading technology firm scaling its research compute infrastructure across on-premises environments and public cloud platforms. This is a hands-on engineering opportunity spanning large-scale Linux systems, CPU/GPU compute, high-performance storage and cloud infrastructure. You'll help build and optimise the platforms used for complex simulations, quantitative modelling and computationally intensive research. What You'll Be Working On Building and scaling Linux-based HPC clusters across on-premises and cloud environments. Supporting CPU and GPU compute infrastructure for demanding research workloads. Engineering high-throughput storage solutions for large-scale data processing and simulation. Troubleshooting complex performance issues across Linux, networking, storage and compute. Automating infrastructure provisioning and configuration using Ansible, Terraform and similar tooling. Working with AWS, GCP or Azure to expand compute capacity and improve platform scalability. Evaluating new hardware, infrastructure technologies and approaches to HPC optimisation. Collaborating with software engineers and quantitative research teams to deliver reliable, high-performance compute environments. What We're Looking For Strong Linux systems knowledge and infrastructure troubleshooting skills. Experience with HPC, large-scale compute clusters or distributed infrastructure. Familiarity with cloud platforms such as AWS, GCP or Azure. Experience witah infrastructure automation using Ansible, Terraform or similar tools. Understanding of compute, storage and networking fundamentals. Exposure to GPU computing, high-performance storage or cluster management is advantageous. Python or Bash scripting experience is beneficial. Strong problem-solving skills and an interest in performance engineering and scalable infrastructure. What Can You Expect? Work on the compute infrastructure powering advanced quantitative and options research. Gain exposure to large-scale Linux environments, GPU computing and hybrid cloud architecture. Solve complex infrastructure challenges across compute, storage and networking. Collaborate with highly skilled infrastructure engineers, developers and quantitative researchers. Base salary: $200,000-$250,000 USD , plus discretionary performance bonus. Comprehensive healthcare, retirement benefits, generous paid leave and professional development opportunities. Interested in building infrastructure where computational performance really matters? We'd love to hear from you. Is this role not quite a fit? Feel free to check our website for more openings and let's get in touch for your next challenge!
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 Senior Cloud Engineer who is fluent in both Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI). You will be the program's go-to engineer for both platforms, splitting your time roughly evenly between them. You will build GCP and OCI foundations that match the same enterprise standards the team applies on AWS and Azure. On GCP, you will establish the organization and folder hierarchy, Shared VPC networking, and organization policies. On OCI, you will build tenancies, compartments, VCN/DRG networking, and Security Zones. On both, you will automate with Infrastructure-as-Code, integrate with the customer's identity, monitoring, and service management tools, and support the platforms in production. Key Responsibilities Design and deploy GCP landing zones: resource hierarchy (organization, folders, projects), Shared VPC hub-and-spoke networking, Cloud Interconnect or HA VPN, and Cloud DNS. Design and deploy OCI landing zones: tenancy and compartment structure, VCN and Dynamic Routing Gateway (DRG) hub-and-spoke networking, FastConnect or IPsec VPN, and DNS. Build and maintain Terraform modules (including OCI Resource Manager) and GitOps workflows for production, integration, development, and sandbox environments on both platforms. Configure IAM and federation with the customer's enterprise identity provider using SAML 2.0 and OIDC, aligned with Zero Trust principles. Enforce guardrails with GCP Organization Policy and Security Command Center, and with OCI Cloud Guard and Security Zones, against NIST SP 800-53 Rev 5 and customer security standards. Apply the enterprise tagging and labeling strategy for asset management and chargeback/showback using GCP Billing Reports and OCI Cost Analysis. Monitor environments with Google Cloud Operations Suite and OCI Monitoring, integrated with Datadog, Splunk, and ServiceNow. Perform patching, routine maintenance, capacity planning, and rightsizing; troubleshoot and resolve incidents as part of 24/7 operations support. Design and test high availability, backup, and disaster recovery on both platforms. Write runbooks and SOPs, supply ATO evidence, and transfer knowledge to customer operations staff. Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. At least 9 years of experience deploying and configuring cloud environments. Hands-on production experience with both Google Cloud Platform and Oracle Cloud Infrastructure. Production experience with Infrastructure-as-Code using Terraform on GCP and OCI. Experience with cloud network design, including private connectivity (Cloud Interconnect, FastConnect, or IPsec VPN), routing, and DNS. Experience implementing IAM and single sign-on federation (SAML 2.0/OIDC). Working knowledge of NIST SP 800-53 security controls in a federal environment. Ability to obtain and maintain the background investigation required by the federal customer. Preferred Qualifications Google Cloud Certified Professional Cloud Architect or Professional Cloud Security Engineer. Oracle Cloud Infrastructure Architect Professional or OCI Multicloud Architect Professional. Experience hosting Oracle Database workloads on OCI (Autonomous Database, Exadata Cloud Service, Base Database Service). Experience with GCP Assured Workloads, OCI US Government regions, or FedRAMP Moderate/High environments. Experience with GCP Cloud Build/Cloud Deploy or OCI DevOps pipelines. Working knowledge of AWS or Azure. Prior support of a civilian federal agency.
11/14/2026
Full time
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 Senior Cloud Engineer who is fluent in both Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI). You will be the program's go-to engineer for both platforms, splitting your time roughly evenly between them. You will build GCP and OCI foundations that match the same enterprise standards the team applies on AWS and Azure. On GCP, you will establish the organization and folder hierarchy, Shared VPC networking, and organization policies. On OCI, you will build tenancies, compartments, VCN/DRG networking, and Security Zones. On both, you will automate with Infrastructure-as-Code, integrate with the customer's identity, monitoring, and service management tools, and support the platforms in production. Key Responsibilities Design and deploy GCP landing zones: resource hierarchy (organization, folders, projects), Shared VPC hub-and-spoke networking, Cloud Interconnect or HA VPN, and Cloud DNS. Design and deploy OCI landing zones: tenancy and compartment structure, VCN and Dynamic Routing Gateway (DRG) hub-and-spoke networking, FastConnect or IPsec VPN, and DNS. Build and maintain Terraform modules (including OCI Resource Manager) and GitOps workflows for production, integration, development, and sandbox environments on both platforms. Configure IAM and federation with the customer's enterprise identity provider using SAML 2.0 and OIDC, aligned with Zero Trust principles. Enforce guardrails with GCP Organization Policy and Security Command Center, and with OCI Cloud Guard and Security Zones, against NIST SP 800-53 Rev 5 and customer security standards. Apply the enterprise tagging and labeling strategy for asset management and chargeback/showback using GCP Billing Reports and OCI Cost Analysis. Monitor environments with Google Cloud Operations Suite and OCI Monitoring, integrated with Datadog, Splunk, and ServiceNow. Perform patching, routine maintenance, capacity planning, and rightsizing; troubleshoot and resolve incidents as part of 24/7 operations support. Design and test high availability, backup, and disaster recovery on both platforms. Write runbooks and SOPs, supply ATO evidence, and transfer knowledge to customer operations staff. Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. At least 9 years of experience deploying and configuring cloud environments. Hands-on production experience with both Google Cloud Platform and Oracle Cloud Infrastructure. Production experience with Infrastructure-as-Code using Terraform on GCP and OCI. Experience with cloud network design, including private connectivity (Cloud Interconnect, FastConnect, or IPsec VPN), routing, and DNS. Experience implementing IAM and single sign-on federation (SAML 2.0/OIDC). Working knowledge of NIST SP 800-53 security controls in a federal environment. Ability to obtain and maintain the background investigation required by the federal customer. Preferred Qualifications Google Cloud Certified Professional Cloud Architect or Professional Cloud Security Engineer. Oracle Cloud Infrastructure Architect Professional or OCI Multicloud Architect Professional. Experience hosting Oracle Database workloads on OCI (Autonomous Database, Exadata Cloud Service, Base Database Service). Experience with GCP Assured Workloads, OCI US Government regions, or FedRAMP Moderate/High environments. Experience with GCP Cloud Build/Cloud Deploy or OCI DevOps pipelines. Working knowledge of AWS or Azure. Prior support of a civilian federal agency.
Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.
11/14/2026
Full time
Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.
Job Description Please note that all applicants must be US Citizens or Green Card holders and no C2C candidates will be accepted. Summary: Tier One Technologies has an immediate need for a Google Cloud Architect for our US Government client. This hybrid contract-to-hire position will be available to start in Raleigh, NC or Eagan, MN. Must have an active GCP Certification. Some occasional travel may be required to support program needs. SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT. Requirements: Design & Architect - Build cloud solutions (IaaS, PaaS, SaaS) aligned with a Microservices/SOA framework; produce implementation-ready documentation including bill of materials and cost estimates. Define Standards - Develop and publish cloud policies, design patterns, and reference architectures for consistent, repeatable solutions. Lead Cloud Adoption - Champion cultural change, build roadmaps, and communicate cloud strategies to stakeholders at all levels. Document Solutions - Prepare solution descriptions, technical approach, assumptions, risk assessments, and mitigation plans. Govern Architecture - Ensure all solutions comply with enterprise technology standards, security requirements, and industry best practices. Enable Teams - Identify skill gaps, develop training materials, and deliver technical guidance to engineers and management. Manage Vendors - Interface with vendors to ensure standard architectures are followed across projects. AI Integration - Leverage AI to accelerate on-prem-to-GCP migration and automate systems, applications, and workflows to improve efficiency and decision-making. Automate & Integrate - Automate complex tasks and integrate cloud services with on-premise and third-party platforms. Troubleshoot - Act as an IT SWAT team member for high-priority problem resolution across design, development, and operations. Communicate - Translate complex technical concepts for both technical teams and executive leadership; produce briefings, technical documentation, and architecture diagrams. Qualifications: A degree from an accredited College/University in the applicable field of services is required. If the degree is not in the applicable field, then 4 additional years of related experience is required. 13+ years of experience in Information Technology. Deep understanding of systems development and architecture in cloud environments, including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Proven ability to integrate Google Cloud Platform (GCP) with SaaS and on-premises platforms, including Microsoft, IBM, Oracle, SAP, and Linux environments. Active Google Cloud Platform (GCP) certification. Hands-on experience designing, deploying, and scaling enterprise solutions on Google Cloud. Current knowledge of artificial intelligence (AI) and industry trends, with experience applying modern technologies and practices to accelerate software delivery, including Agile, Test-Driven Development (TDD), and Continuous Integration/Continuous Delivery (CI/CD). Strong understanding of enterprise infrastructure, including networking, compute, storage, virtualization, high availability, and monitoring. Excellent oral and written communication skills, with the ability to develop and present management briefings, provide technical guidance, and prepare and present recommendations, reports, and other technical documentation. Must be a US Citizen or Permanent US Resident (Green Card Holder). Must be able to obtain Public Trust Clearance. Be able to pass a drug screening, criminal history, and credit checks. Must have lived in the United States for the past 5 years. Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)
11/14/2026
Full time
Job Description Please note that all applicants must be US Citizens or Green Card holders and no C2C candidates will be accepted. Summary: Tier One Technologies has an immediate need for a Google Cloud Architect for our US Government client. This hybrid contract-to-hire position will be available to start in Raleigh, NC or Eagan, MN. Must have an active GCP Certification. Some occasional travel may be required to support program needs. SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT. Requirements: Design & Architect - Build cloud solutions (IaaS, PaaS, SaaS) aligned with a Microservices/SOA framework; produce implementation-ready documentation including bill of materials and cost estimates. Define Standards - Develop and publish cloud policies, design patterns, and reference architectures for consistent, repeatable solutions. Lead Cloud Adoption - Champion cultural change, build roadmaps, and communicate cloud strategies to stakeholders at all levels. Document Solutions - Prepare solution descriptions, technical approach, assumptions, risk assessments, and mitigation plans. Govern Architecture - Ensure all solutions comply with enterprise technology standards, security requirements, and industry best practices. Enable Teams - Identify skill gaps, develop training materials, and deliver technical guidance to engineers and management. Manage Vendors - Interface with vendors to ensure standard architectures are followed across projects. AI Integration - Leverage AI to accelerate on-prem-to-GCP migration and automate systems, applications, and workflows to improve efficiency and decision-making. Automate & Integrate - Automate complex tasks and integrate cloud services with on-premise and third-party platforms. Troubleshoot - Act as an IT SWAT team member for high-priority problem resolution across design, development, and operations. Communicate - Translate complex technical concepts for both technical teams and executive leadership; produce briefings, technical documentation, and architecture diagrams. Qualifications: A degree from an accredited College/University in the applicable field of services is required. If the degree is not in the applicable field, then 4 additional years of related experience is required. 13+ years of experience in Information Technology. Deep understanding of systems development and architecture in cloud environments, including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Proven ability to integrate Google Cloud Platform (GCP) with SaaS and on-premises platforms, including Microsoft, IBM, Oracle, SAP, and Linux environments. Active Google Cloud Platform (GCP) certification. Hands-on experience designing, deploying, and scaling enterprise solutions on Google Cloud. Current knowledge of artificial intelligence (AI) and industry trends, with experience applying modern technologies and practices to accelerate software delivery, including Agile, Test-Driven Development (TDD), and Continuous Integration/Continuous Delivery (CI/CD). Strong understanding of enterprise infrastructure, including networking, compute, storage, virtualization, high availability, and monitoring. Excellent oral and written communication skills, with the ability to develop and present management briefings, provide technical guidance, and prepare and present recommendations, reports, and other technical documentation. Must be a US Citizen or Permanent US Resident (Green Card Holder). Must be able to obtain Public Trust Clearance. Be able to pass a drug screening, criminal history, and credit checks. Must have lived in the United States for the past 5 years. Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)
Job Description Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.
11/14/2026
Full time
Job Description Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.
Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.
11/14/2026
Full time
Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.
