Corus Consulting an Alten Company
New York, New York
Job Description Job Title: Senior Java Backend Developer - Intex Experience: 6-10+ Years Domain: Banking / Financial Services Employment Type: Contract Location: Remote Role Overview We are seeking a highly skilled Java Backend Developer with strong hands-on experience in Java, Spring Boot, Microservices, and Intex-related banking applications. The ideal candidate will have extensive experience developing enterprise-level backend systems within the banking and financial services domain, including application integration, financial transactions, and secure, scalable API development. Key Responsibilities • Design and develop scalable Java backend applications. • Build microservices using Java and Spring Boot. • Develop and integrate RESTful APIs. • Work on Intex platform integrations and backend services. • Develop solutions supporting banking and financial operations. • Integrate backend systems with core banking applications. • Implement secure transaction processing and data handling. • Optimize application performance and database queries. • Troubleshoot production issues and provide technical support. • Collaborate with business analysts, architects, and banking teams. • Perform unit testing, integration testing, and code reviews. • Support application deployments and CI/CD processes. • Ensure compliance with banking security and development standards. Mandatory Technical Skills • Java: Strong hands-on experience with Java 8/11/17+. • Spring Boot: Extensive experience with Spring Framework and Spring Boot. • Microservices: Strong development experience in microservices architecture. • REST APIs: API development, integration, and troubleshooting. • Intex: Practical experience with Intex systems, applications, or integrations in financial services. • Banking Domain: Experience developing applications for banking or financial institutions. • SQL: Strong experience with Oracle, PostgreSQL, or similar databases. • Hibernate/JPA: Database persistence and ORM frameworks. • Git: Source code management. • Testing: JUnit, Mockito, and integration testing. Preferred / Nice-to-Have Skills • AWS, Azure, or other cloud platforms. • Docker and Kubernetes. • Kafka, RabbitMQ, or messaging systems. • CI/CD pipelines using Jenkins or GitLab. • OAuth2, JWT, and Spring Security. • Core banking systems and financial data integration. • Knowledge of financial products, loans, or securities. • Experience with Agile/Scrum methodology. Required Qualifications • Bachelor's degree in Computer Science, IT, Engineering, or related field. • Minimum 6 years of Java backend development experience. • Strong hands-on experience with Spring Boot, Microservices, and REST APIs. • Proven experience working in banking or financial services projects. • Practical experience with the Intex platform or its integrations. • Strong analytical, debugging, and problem-solving skills.
11/14/2026
Full time
Job Description Job Title: Senior Java Backend Developer - Intex Experience: 6-10+ Years Domain: Banking / Financial Services Employment Type: Contract Location: Remote Role Overview We are seeking a highly skilled Java Backend Developer with strong hands-on experience in Java, Spring Boot, Microservices, and Intex-related banking applications. The ideal candidate will have extensive experience developing enterprise-level backend systems within the banking and financial services domain, including application integration, financial transactions, and secure, scalable API development. Key Responsibilities • Design and develop scalable Java backend applications. • Build microservices using Java and Spring Boot. • Develop and integrate RESTful APIs. • Work on Intex platform integrations and backend services. • Develop solutions supporting banking and financial operations. • Integrate backend systems with core banking applications. • Implement secure transaction processing and data handling. • Optimize application performance and database queries. • Troubleshoot production issues and provide technical support. • Collaborate with business analysts, architects, and banking teams. • Perform unit testing, integration testing, and code reviews. • Support application deployments and CI/CD processes. • Ensure compliance with banking security and development standards. Mandatory Technical Skills • Java: Strong hands-on experience with Java 8/11/17+. • Spring Boot: Extensive experience with Spring Framework and Spring Boot. • Microservices: Strong development experience in microservices architecture. • REST APIs: API development, integration, and troubleshooting. • Intex: Practical experience with Intex systems, applications, or integrations in financial services. • Banking Domain: Experience developing applications for banking or financial institutions. • SQL: Strong experience with Oracle, PostgreSQL, or similar databases. • Hibernate/JPA: Database persistence and ORM frameworks. • Git: Source code management. • Testing: JUnit, Mockito, and integration testing. Preferred / Nice-to-Have Skills • AWS, Azure, or other cloud platforms. • Docker and Kubernetes. • Kafka, RabbitMQ, or messaging systems. • CI/CD pipelines using Jenkins or GitLab. • OAuth2, JWT, and Spring Security. • Core banking systems and financial data integration. • Knowledge of financial products, loans, or securities. • Experience with Agile/Scrum methodology. Required Qualifications • Bachelor's degree in Computer Science, IT, Engineering, or related field. • Minimum 6 years of Java backend development experience. • Strong hands-on experience with Spring Boot, Microservices, and REST APIs. • Proven experience working in banking or financial services projects. • Practical experience with the Intex platform or its integrations. • Strong analytical, debugging, and problem-solving skills.
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 We're looking for a security minded PKI and Cryptography Engineering Lead who's excited to take ownership of our enterprise Public Key Infrastructure and help it continue to evolve. In this role, you'll lead a talented PKI team while staying hands on with the technologies that enable secure authentication, encryption, and digital trust across the organization. If you enjoy solving complex security challenges, modernizing legacy systems through automation, and mentoring others along the way, this could be a great fit. This role is located onsite at International WHQ in Lisle, IL. If you're ready to learn more and step into a role where you can lead, build, and make a real security impact, we'd love to hear from you. Use the following link to apply today: -us You'll be responsible for the full lifecycle of digital certificates-from issuance and renewal to revocation, auditing, and incident response-making sure everything runs reliably and securely. A big part of your day to day work will involve designing and maintaining PKI architecture, including root and subordinate CAs, OCSP responders, and integrations with HSMs. You'll also help drive certificate automation using tools like Venafi, DigiCert, or Microsoft Certificate Services, reducing risk while improving speed and scalability for application teams. Candidates must bring lead experience along with a strong background in information security/PKI. This can be demonstrated through a bachelor's degree with at least five years of information security/PKI experience, a master's degree with at least three years of information security/PKI experience, or a minimum of eight years of information security/PKI experience overall. In all cases, at least one year of experience in a lead or leadership role is required. We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
11/14/2026
Full time
Job Description We're looking for a security minded PKI and Cryptography Engineering Lead who's excited to take ownership of our enterprise Public Key Infrastructure and help it continue to evolve. In this role, you'll lead a talented PKI team while staying hands on with the technologies that enable secure authentication, encryption, and digital trust across the organization. If you enjoy solving complex security challenges, modernizing legacy systems through automation, and mentoring others along the way, this could be a great fit. This role is located onsite at International WHQ in Lisle, IL. If you're ready to learn more and step into a role where you can lead, build, and make a real security impact, we'd love to hear from you. Use the following link to apply today: -us You'll be responsible for the full lifecycle of digital certificates-from issuance and renewal to revocation, auditing, and incident response-making sure everything runs reliably and securely. A big part of your day to day work will involve designing and maintaining PKI architecture, including root and subordinate CAs, OCSP responders, and integrations with HSMs. You'll also help drive certificate automation using tools like Venafi, DigiCert, or Microsoft Certificate Services, reducing risk while improving speed and scalability for application teams. Candidates must bring lead experience along with a strong background in information security/PKI. This can be demonstrated through a bachelor's degree with at least five years of information security/PKI experience, a master's degree with at least three years of information security/PKI experience, or a minimum of eight years of information security/PKI experience overall. In all cases, at least one year of experience in a lead or leadership role is required. We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
Job Description Raytheon is seeking a Senior Systems RF/Hardware Engineer to contribute to the development, maintenance, and modernization of advanced RF ground systems engineering activities for satellite communications systems. This is a senior technical Operations and Maintenance (O&M) role. You will play a critical role in ensuring the performance and reliability of complex systems that support secure networks and program objectives. Location : Aurora, CO (Buckley) What You Will Do Assemble and install various electrical components into equipment racks for deployment in data transfer nodes connected to secure networks. Perform routine maintenance tasks, including visual inspections, cleaning, lubrication, and periodic checks of status indicators for antenna systems. Conduct lifecycle system upgrades, including modernization of hardware, software, HVAC, and electrical systems. Generate, analyze, track, and manage requirements to ensure system performance and compliance. Develop, read, and maintain RF system schematics, block diagrams, system analyses, system Bill of Materials (BOMs), and design review packages. Support emergency repair trips with little or no advanced notice and provide after-hours call-in support as needed. Work at heights and successfully complete safety requirements for antenna/tower climber training (training provided). Collaborate with design teams to influence performance and cost trade-offs for engineering changes and technology upgrades. Apply technical expertise to develop new operational concepts, implement architecture changes, and enhance efficiency within existing systems. Support vendor coordination for timely repair and tracking of critical operational hardware. Travel occasionally, both CONUS and OCONUS, to support program objectives. Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 5 years of prior engineering experience or equivalent experience. Experience supporting RF ground systems engineering activities for satellite communications systems Experience in generating, analyzing, tracking, and managing requirements. undefined Experience with RF systems engineering, including reading, developing, and maintaining schematics and block diagrams, system analyses, system Bill of Materials (BOMs), and design review packages. An active and transferable TS/SCI with CI Poly U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for the required security clearance. Qualifications We Prefer Experience influencing design performance and cost trade-offs for proposed engineering changes and technology upgrades. Experience contributing to design teams and providing technical insight and training to junior team members. Experience in applying knowledge to recommend development of new operational concepts, architecture changes, and efficiency improvements within existing systems. Experience supporting design performance and cost trade-off studies for proposed engineering changes. Experience in using Spectrum Analyzers, Network Analyzers, Signal Generators, and Oscilloscopes. Experience working with vendors for timely repair and tracking critical operational hardware. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respectability, Collaboration, and Innovation. Relocation Eligible - Relocation assistance available
11/14/2026
Full time
Job Description Raytheon is seeking a Senior Systems RF/Hardware Engineer to contribute to the development, maintenance, and modernization of advanced RF ground systems engineering activities for satellite communications systems. This is a senior technical Operations and Maintenance (O&M) role. You will play a critical role in ensuring the performance and reliability of complex systems that support secure networks and program objectives. Location : Aurora, CO (Buckley) What You Will Do Assemble and install various electrical components into equipment racks for deployment in data transfer nodes connected to secure networks. Perform routine maintenance tasks, including visual inspections, cleaning, lubrication, and periodic checks of status indicators for antenna systems. Conduct lifecycle system upgrades, including modernization of hardware, software, HVAC, and electrical systems. Generate, analyze, track, and manage requirements to ensure system performance and compliance. Develop, read, and maintain RF system schematics, block diagrams, system analyses, system Bill of Materials (BOMs), and design review packages. Support emergency repair trips with little or no advanced notice and provide after-hours call-in support as needed. Work at heights and successfully complete safety requirements for antenna/tower climber training (training provided). Collaborate with design teams to influence performance and cost trade-offs for engineering changes and technology upgrades. Apply technical expertise to develop new operational concepts, implement architecture changes, and enhance efficiency within existing systems. Support vendor coordination for timely repair and tracking of critical operational hardware. Travel occasionally, both CONUS and OCONUS, to support program objectives. Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 5 years of prior engineering experience or equivalent experience. Experience supporting RF ground systems engineering activities for satellite communications systems Experience in generating, analyzing, tracking, and managing requirements. undefined Experience with RF systems engineering, including reading, developing, and maintaining schematics and block diagrams, system analyses, system Bill of Materials (BOMs), and design review packages. An active and transferable TS/SCI with CI Poly U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for the required security clearance. Qualifications We Prefer Experience influencing design performance and cost trade-offs for proposed engineering changes and technology upgrades. Experience contributing to design teams and providing technical insight and training to junior team members. Experience in applying knowledge to recommend development of new operational concepts, architecture changes, and efficiency improvements within existing systems. Experience supporting design performance and cost trade-off studies for proposed engineering changes. Experience in using Spectrum Analyzers, Network Analyzers, Signal Generators, and Oscilloscopes. Experience working with vendors for timely repair and tracking critical operational hardware. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respectability, Collaboration, and Innovation. Relocation Eligible - Relocation assistance available
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 NETWORK ENGINEERING LEAD CCIE IS MUST ROUTING, SWITCHING AND MULTICAST Active Secret clearance is must Washington DC (ONSITE) POSITION OVERVIEW Lead hands-on assessment, troubleshooting, remediation, and validation for enterprise network services supporting video and other time-sensitive applications. This role requires deep routing and switching expertise, advanced multicast knowledge, and the ability to trace complex transport issues across network and encryption boundaries. What You Will Do • Assess current network architecture, device configurations, routing domains, VLANs, dependencies, and operational constraints; compare documented designs with observed behavior. • Diagnose and remediate multicast and video-transport issues through IGMP/PIM analysis, routing and switching review, packet capture, and traffic-path analysis. • Analyze transport across encrypted links, including MTU and fragmentation, path symmetry, QoS markings, latency, packet loss, and multicast or unicast behavior. • Develop corrective actions with customer stakeholders, document proposed changes and rollback considerations, and implement approved changes during authorized maintenance windows. • Plan and conduct end-to-end validation, including operational testing with relevant application and video systems; support post-implementation issue resolution. • Co-lead secure network integration design with the security engineer and review high- and low-level designs, network diagrams, and future-state documentation. • Maintain accurate configuration records, technical findings, validation evidence, and sustainment guidance; contribute to customer knowledge transfer. Required Qualifications • Active CCIE Enterprise Infrastructure certification. • Demonstrated expertise in enterprise routing and switching, multicast networking, packet-capture analysis, and video-transport troubleshooting. • Experience analyzing IGMP and PIM behavior, multicast forwarding, VLAN and routing design, and network performance across complex paths. • Ability to assess network changes, document technical findings, and validate end-to-end service behavior in production or mission-critical environments. • Must be a U.S. person and hold an active Secret clearance; must meet applicable secure-facility access requirements. • Ability to work on site at a secure customer facility. Work Environment On-site in a closed, secure network environment. Work requires disciplined
11/14/2026
Full time
Job Description NETWORK ENGINEERING LEAD CCIE IS MUST ROUTING, SWITCHING AND MULTICAST Active Secret clearance is must Washington DC (ONSITE) POSITION OVERVIEW Lead hands-on assessment, troubleshooting, remediation, and validation for enterprise network services supporting video and other time-sensitive applications. This role requires deep routing and switching expertise, advanced multicast knowledge, and the ability to trace complex transport issues across network and encryption boundaries. What You Will Do • Assess current network architecture, device configurations, routing domains, VLANs, dependencies, and operational constraints; compare documented designs with observed behavior. • Diagnose and remediate multicast and video-transport issues through IGMP/PIM analysis, routing and switching review, packet capture, and traffic-path analysis. • Analyze transport across encrypted links, including MTU and fragmentation, path symmetry, QoS markings, latency, packet loss, and multicast or unicast behavior. • Develop corrective actions with customer stakeholders, document proposed changes and rollback considerations, and implement approved changes during authorized maintenance windows. • Plan and conduct end-to-end validation, including operational testing with relevant application and video systems; support post-implementation issue resolution. • Co-lead secure network integration design with the security engineer and review high- and low-level designs, network diagrams, and future-state documentation. • Maintain accurate configuration records, technical findings, validation evidence, and sustainment guidance; contribute to customer knowledge transfer. Required Qualifications • Active CCIE Enterprise Infrastructure certification. • Demonstrated expertise in enterprise routing and switching, multicast networking, packet-capture analysis, and video-transport troubleshooting. • Experience analyzing IGMP and PIM behavior, multicast forwarding, VLAN and routing design, and network performance across complex paths. • Ability to assess network changes, document technical findings, and validate end-to-end service behavior in production or mission-critical environments. • Must be a U.S. person and hold an active Secret clearance; must meet applicable secure-facility access requirements. • Ability to work on site at a secure customer facility. Work Environment On-site in a closed, secure network environment. Work requires disciplined
Job Description Senior Network Engineer - Cloud & Infrastructure Overview Yoh is seeking a Senior Network Engineer to support a mission-critical enterprise and development infrastructure environment. This role will design, deploy, maintain, and secure network systems across data centers, on-premises locations, remote offices, and public cloud environments. The ideal candidate will have strong experience with routing, switching, firewalls, hybrid cloud connectivity, network automation, and enterprise security infrastructure. Location: San Mateo or surrounding San Francisco Bay Area Job Type: Contract Work Arrangement: Hybrid/onsite, as required Estimated Compensation: $80-$95/hour, depending on experience Responsibilities Network Engineering Design, architect, deploy, and maintain routing, switching, WLAN, and firewall infrastructure across data centers, corporate offices, remote sites, and cloud environments. Support public cloud networking in AWS and Azure, including secure connectivity solutions such as ExpressRoute, Transit Gateway, Cloud WAN, and Azure Virtual WAN. Deploy and manage WAN and VPN connectivity to ensure secure and reliable access for enterprise and mission-critical environments. Develop and apply network automation to streamline provisioning, monitoring, configuration management, and operational processes. Partner with cloud, platform, security, and infrastructure teams to develop standardized network architectures. Recommend and implement scalable, automated approaches to network operations and vulnerability remediation. Participate in Agile delivery cycles while managing assigned network projects and deliverables. Conduct network capacity planning and provide recommendations for growth, resiliency, and optimization. Operations and Support Plan and execute network and firewall changes in accordance with change-management and security-governance procedures. Monitor, analyze, and improve network performance, availability, resiliency, and security. Provide advanced troubleshooting for network hardware, software, connectivity, and application-related issues. Configure and maintain secure connectivity services, including VPN, ZTNA, HTTPS, and SFTP. Create and maintain accurate operational, configuration, and network documentation. Mentor operational teams on network processes, procedures, and troubleshooting practices. Engage vendors and strategic partners for escalated troubleshooting, lifecycle planning, and technology evaluations. Participate in an on-call rotation and scheduled maintenance activities. Maintenance and Security Lead or support network upgrades, patching, and maintenance activities within defined maintenance windows. Maintain network device software, hardware, and license compliance. Identify and remediate network security vulnerabilities in coordination with IT security teams. Support network segmentation, access control, firewall policy enforcement, and secure connectivity initiatives. Required Qualifications Six or more years of experience supporting and administering complex network systems in production environments. Strong expertise in network routing, switching, and security architecture. Experience with at least one network operating system, such as NX-OS, JunOS, or Arista EOS. Experience with at least one network security operating system, such as PAN-OS or FortiOS. Experience with network automation and infrastructure-as-code practices using tools such as Terraform, Ansible, or Python. Strong understanding of firewall management, network segmentation, VPN technologies, and secure remote access. Experience building and managing scalable hybrid infrastructure connectivity between on-premises systems and cloud networks. Excellent analytical, organizational, communication, and troubleshooting skills. Ability to communicate effectively with both technical and non-technical stakeholders. Proven ability to work independently and deliver results in a structured, process-driven environment. Bachelor's degree in a technical discipline, or six or more years of relevant experience combined with a professional certification such as CCNP, JNCIS, VCP-NV, or equivalent. Preferred Qualifications Experience with Juniper and Palo Alto networking solutions. Familiarity with centralized firewall-management platforms, including Panorama. Experience with WLAN technologies and wireless authentication, including 802.1X and RADIUS. Experience with network-access control solutions and network-access policy enforcement. Experience with ZTNA or SASE solutions, such as Prisma Access, Zscaler, or Cato. Working knowledge of virtualization or operating-system administration, including VMware, Windows, or Linux. Demonstrated project-management and technical leadership experience. Ability to coach peers and present technical information to non-technical stakeholders. Collaborative, solution-oriented approach in a fast-paced, change-controlled environment. Additional Requirements Must be able to work in the San Francisco Bay Area and report onsite as required. Must be comfortable participating in scheduled maintenance activities and an on-call rotation. Must comply with all applicable workplace, security, confidentiality, and access requirements. Employment is contingent upon successful completion of a background check conducted after a conditional offer, in accordance with applicable federal, state, and local law. Estimated Min Rate : $66.50 Estimated Max Rate : $95.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
11/14/2026
Full time
Job Description Senior Network Engineer - Cloud & Infrastructure Overview Yoh is seeking a Senior Network Engineer to support a mission-critical enterprise and development infrastructure environment. This role will design, deploy, maintain, and secure network systems across data centers, on-premises locations, remote offices, and public cloud environments. The ideal candidate will have strong experience with routing, switching, firewalls, hybrid cloud connectivity, network automation, and enterprise security infrastructure. Location: San Mateo or surrounding San Francisco Bay Area Job Type: Contract Work Arrangement: Hybrid/onsite, as required Estimated Compensation: $80-$95/hour, depending on experience Responsibilities Network Engineering Design, architect, deploy, and maintain routing, switching, WLAN, and firewall infrastructure across data centers, corporate offices, remote sites, and cloud environments. Support public cloud networking in AWS and Azure, including secure connectivity solutions such as ExpressRoute, Transit Gateway, Cloud WAN, and Azure Virtual WAN. Deploy and manage WAN and VPN connectivity to ensure secure and reliable access for enterprise and mission-critical environments. Develop and apply network automation to streamline provisioning, monitoring, configuration management, and operational processes. Partner with cloud, platform, security, and infrastructure teams to develop standardized network architectures. Recommend and implement scalable, automated approaches to network operations and vulnerability remediation. Participate in Agile delivery cycles while managing assigned network projects and deliverables. Conduct network capacity planning and provide recommendations for growth, resiliency, and optimization. Operations and Support Plan and execute network and firewall changes in accordance with change-management and security-governance procedures. Monitor, analyze, and improve network performance, availability, resiliency, and security. Provide advanced troubleshooting for network hardware, software, connectivity, and application-related issues. Configure and maintain secure connectivity services, including VPN, ZTNA, HTTPS, and SFTP. Create and maintain accurate operational, configuration, and network documentation. Mentor operational teams on network processes, procedures, and troubleshooting practices. Engage vendors and strategic partners for escalated troubleshooting, lifecycle planning, and technology evaluations. Participate in an on-call rotation and scheduled maintenance activities. Maintenance and Security Lead or support network upgrades, patching, and maintenance activities within defined maintenance windows. Maintain network device software, hardware, and license compliance. Identify and remediate network security vulnerabilities in coordination with IT security teams. Support network segmentation, access control, firewall policy enforcement, and secure connectivity initiatives. Required Qualifications Six or more years of experience supporting and administering complex network systems in production environments. Strong expertise in network routing, switching, and security architecture. Experience with at least one network operating system, such as NX-OS, JunOS, or Arista EOS. Experience with at least one network security operating system, such as PAN-OS or FortiOS. Experience with network automation and infrastructure-as-code practices using tools such as Terraform, Ansible, or Python. Strong understanding of firewall management, network segmentation, VPN technologies, and secure remote access. Experience building and managing scalable hybrid infrastructure connectivity between on-premises systems and cloud networks. Excellent analytical, organizational, communication, and troubleshooting skills. Ability to communicate effectively with both technical and non-technical stakeholders. Proven ability to work independently and deliver results in a structured, process-driven environment. Bachelor's degree in a technical discipline, or six or more years of relevant experience combined with a professional certification such as CCNP, JNCIS, VCP-NV, or equivalent. Preferred Qualifications Experience with Juniper and Palo Alto networking solutions. Familiarity with centralized firewall-management platforms, including Panorama. Experience with WLAN technologies and wireless authentication, including 802.1X and RADIUS. Experience with network-access control solutions and network-access policy enforcement. Experience with ZTNA or SASE solutions, such as Prisma Access, Zscaler, or Cato. Working knowledge of virtualization or operating-system administration, including VMware, Windows, or Linux. Demonstrated project-management and technical leadership experience. Ability to coach peers and present technical information to non-technical stakeholders. Collaborative, solution-oriented approach in a fast-paced, change-controlled environment. Additional Requirements Must be able to work in the San Francisco Bay Area and report onsite as required. Must be comfortable participating in scheduled maintenance activities and an on-call rotation. Must comply with all applicable workplace, security, confidentiality, and access requirements. Employment is contingent upon successful completion of a background check conducted after a conditional offer, in accordance with applicable federal, state, and local law. Estimated Min Rate : $66.50 Estimated Max Rate : $95.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
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 Location: Milwaukee, WI Duration: 6 months (12/01/2026-5/31/2027), possible extensions Hours: 40 hours/week; 8am-5pm M-F Pay Rate: $64-74/hour (W2), $73-83/hour (1099) Position Overview Our client is seeking a Senior Platform Engineer to support the enterprise developer platforms that engineering teams rely on every day. This role is focused on operating, supporting, and improving internal platforms that enable secure and efficient software delivery across the organization. The ideal candidate brings a strong systems and platform mindset, experience supporting enterprise tooling, and comfort working in hybrid environments that include both modern and legacy on-prem systems. This is a hands-on role for someone who enjoys troubleshooting platform issues, supporting internal users, improving reliability, and helping keep critical development services running smoothly. Key Responsibilities Run, support, and improve enterprise CI/CD and developer platform services alongside other engineers on the team. Support platforms used by internal engineering teams, including Enterprise GitLab, enterprise JFrog, Ansible Tower, on-prem Nexus, and GitLab runners. Own well-scoped operational deliverables and escalate blockers early when needed. Support platform reliability, availability, access, and day-to-day operational needs. Troubleshoot production issues, participate in an on-call rotation, and complete remediation follow-ups as needed. Apply security, compliance, and observability practices to the work you deliver. Build and maintain metrics and dashboards that help track platform health and support operational decision-making. Participate in code and design reviews, document your work clearly, and help internal teams adopt platform capabilities. Contribute to automation and process improvements that make platform operations more efficient and reliable. Support infrastructure related to repository management, artifact storage, and artifact retrieval workflows. Work closely with platform engineers and partner teams to keep systems stable and effective. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience. 3+ years of hands-on experience in platform engineering, systems engineering, DevOps, or CI/CD support. Experience working on a platform that supports other engineers or internal users. Strong understanding of on-prem and hybrid environments. Working knowledge of CI/CD pipeline tooling and automation, such as GitLab CI, GitHub Actions, or Jenkins. Experience supporting enterprise developer tooling and platform services. Curiosity for understanding how complex systems interact and a willingness to dig into unfamiliar technical problems. Clear communication skills, including the ability to explain your work to teammates and partner teams. Ability to contribute to design documentation and participate in technical reviews. Commitment to continuous learning and operational excellence. Familiarity with enterprise developer tooling such as GitLab, JFrog, Nexus, Ansible Tower, or GitLab runners. Experience building, storing, and supporting software artifacts such as binaries, packages, and containers. Experience monitoring platform health and performance using tools such as Dynatrace, Prometheus, Grafana, or ELK. Experience creating and maintaining infrastructure as code using tools such as Terraform or CloudFormation. Experience troubleshooting Linux-based operating systems, networking, and applications. Experience supporting disaster recovery exercises and executing documented recovery procedures. Experience contributing to resilient, scalable, and cost-conscious systems. Experience developing services and scripts that interact with APIs using languages like Python or TypeScript. Cloud, platform, or security-related certifications are a plus. Eligibility Requirements: Must be legally authorized to work in the United States. No third parties. As a contractor, you may be required to complete a background check. Compensation: The anticipated pay range for this opportunity is $64.00 to $74.00 per hour for W2 contractors and $73.00 to $83.00 per hour for 1099 contractors. The range represents a good-faith estimate of the compensation reasonably expected to be offered for this opportunity at the time of posting. Actual compensation will be determined based on experience, qualifications, engagement structure, and applicable work location within the range provided. Benefits: Depending on employment classification and eligibility, benefits may include medical, dental, and vision coverage; health savings accounts; life and AD&D insurance; long-term disability coverage; commuter benefits; and retirement plans. Eligibility for specific benefits is subject to the terms and conditions of the applicable benefit plans. Additional Compensation: This position is not eligible for additional compensation.
11/14/2026
Full time
Job Description Location: Milwaukee, WI Duration: 6 months (12/01/2026-5/31/2027), possible extensions Hours: 40 hours/week; 8am-5pm M-F Pay Rate: $64-74/hour (W2), $73-83/hour (1099) Position Overview Our client is seeking a Senior Platform Engineer to support the enterprise developer platforms that engineering teams rely on every day. This role is focused on operating, supporting, and improving internal platforms that enable secure and efficient software delivery across the organization. The ideal candidate brings a strong systems and platform mindset, experience supporting enterprise tooling, and comfort working in hybrid environments that include both modern and legacy on-prem systems. This is a hands-on role for someone who enjoys troubleshooting platform issues, supporting internal users, improving reliability, and helping keep critical development services running smoothly. Key Responsibilities Run, support, and improve enterprise CI/CD and developer platform services alongside other engineers on the team. Support platforms used by internal engineering teams, including Enterprise GitLab, enterprise JFrog, Ansible Tower, on-prem Nexus, and GitLab runners. Own well-scoped operational deliverables and escalate blockers early when needed. Support platform reliability, availability, access, and day-to-day operational needs. Troubleshoot production issues, participate in an on-call rotation, and complete remediation follow-ups as needed. Apply security, compliance, and observability practices to the work you deliver. Build and maintain metrics and dashboards that help track platform health and support operational decision-making. Participate in code and design reviews, document your work clearly, and help internal teams adopt platform capabilities. Contribute to automation and process improvements that make platform operations more efficient and reliable. Support infrastructure related to repository management, artifact storage, and artifact retrieval workflows. Work closely with platform engineers and partner teams to keep systems stable and effective. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience. 3+ years of hands-on experience in platform engineering, systems engineering, DevOps, or CI/CD support. Experience working on a platform that supports other engineers or internal users. Strong understanding of on-prem and hybrid environments. Working knowledge of CI/CD pipeline tooling and automation, such as GitLab CI, GitHub Actions, or Jenkins. Experience supporting enterprise developer tooling and platform services. Curiosity for understanding how complex systems interact and a willingness to dig into unfamiliar technical problems. Clear communication skills, including the ability to explain your work to teammates and partner teams. Ability to contribute to design documentation and participate in technical reviews. Commitment to continuous learning and operational excellence. Familiarity with enterprise developer tooling such as GitLab, JFrog, Nexus, Ansible Tower, or GitLab runners. Experience building, storing, and supporting software artifacts such as binaries, packages, and containers. Experience monitoring platform health and performance using tools such as Dynatrace, Prometheus, Grafana, or ELK. Experience creating and maintaining infrastructure as code using tools such as Terraform or CloudFormation. Experience troubleshooting Linux-based operating systems, networking, and applications. Experience supporting disaster recovery exercises and executing documented recovery procedures. Experience contributing to resilient, scalable, and cost-conscious systems. Experience developing services and scripts that interact with APIs using languages like Python or TypeScript. Cloud, platform, or security-related certifications are a plus. Eligibility Requirements: Must be legally authorized to work in the United States. No third parties. As a contractor, you may be required to complete a background check. Compensation: The anticipated pay range for this opportunity is $64.00 to $74.00 per hour for W2 contractors and $73.00 to $83.00 per hour for 1099 contractors. The range represents a good-faith estimate of the compensation reasonably expected to be offered for this opportunity at the time of posting. Actual compensation will be determined based on experience, qualifications, engagement structure, and applicable work location within the range provided. Benefits: Depending on employment classification and eligibility, benefits may include medical, dental, and vision coverage; health savings accounts; life and AD&D insurance; long-term disability coverage; commuter benefits; and retirement plans. Eligibility for specific benefits is subject to the terms and conditions of the applicable benefit plans. Additional Compensation: This position is not eligible for additional compensation.
Job Description Position: Lead / Senior AI Engineer Location: NYC, NY "Hybrid Office BI-weekly " Mode Of Hire: Long term Contract Role Overview The Senior AI Engineer designs, builds, and supports secure, reliable AI-enabled applications and backend services for firmwide products and workflows. The role combines strong software engineering with practical experience in enterprise search, retrieval, language models, and cloud AI platforms. The engineer works across product, application, data, security, and business teams to move solutions from technical design through production adoption. Key Responsibilities Include Design, build, and maintain backend services, APIs, and application features for firmwide products and AI-enabled workflows. Develop AI application capabilities such as enterprise search, summarization, information extraction, document generation, and conversational experiences using large and small language models. Design and integrate secure connections among applications, AI services, enterprise data, and business systems through well-defined APIs, identity controls, and access policies. Build retrieval solutions that make relevant enterprise information available to AI applications, including content ingestion, metadata processing, embeddings, indexing, and vector, semantic, or hybrid search. Apply sound software engineering practices, including modular design, code review, automated testing, CI/CD, observability, error handling, and performance tuning. Evaluate AI features for quality, groundedness, reliability, security, latency, and cost; use evaluation results and user feedback to improve them over time. Partner with product, application, data, security, and business teams to translate needs into technical designs and explain implementation choices and trade-offs. Own solutions through design, development, deployment, and production support; contribute to technical standards and help other engineers grow. Qualifications Bachelor's degree in computer science, engineering, information systems, artificial intelligence, or a related field, or equivalent practical experience. 10+ years of professional software engineering or related experience, including substantial work on backend services, APIs, applications, or distributed systems. At least 2 years of experience building or integrating generative AI or LLM-based solutions in applications or business systems. Strong programming skills in C#/.NET preferred; experience with Python or another production language such as Java, JavaScript, or TypeScript is also valuable. Demonstrated ability to design and integrate APIs and services and deliver software from development through deployment and production support. Experience with automated testing, CI/CD, cloud deployment, logging, monitoring, and troubleshooting production applications. Understanding of secure software development, data privacy, and responsible use of AI, with the ability to communicate technical decisions clearly to technical and non-technical colleagues.
11/14/2026
Full time
Job Description Position: Lead / Senior AI Engineer Location: NYC, NY "Hybrid Office BI-weekly " Mode Of Hire: Long term Contract Role Overview The Senior AI Engineer designs, builds, and supports secure, reliable AI-enabled applications and backend services for firmwide products and workflows. The role combines strong software engineering with practical experience in enterprise search, retrieval, language models, and cloud AI platforms. The engineer works across product, application, data, security, and business teams to move solutions from technical design through production adoption. Key Responsibilities Include Design, build, and maintain backend services, APIs, and application features for firmwide products and AI-enabled workflows. Develop AI application capabilities such as enterprise search, summarization, information extraction, document generation, and conversational experiences using large and small language models. Design and integrate secure connections among applications, AI services, enterprise data, and business systems through well-defined APIs, identity controls, and access policies. Build retrieval solutions that make relevant enterprise information available to AI applications, including content ingestion, metadata processing, embeddings, indexing, and vector, semantic, or hybrid search. Apply sound software engineering practices, including modular design, code review, automated testing, CI/CD, observability, error handling, and performance tuning. Evaluate AI features for quality, groundedness, reliability, security, latency, and cost; use evaluation results and user feedback to improve them over time. Partner with product, application, data, security, and business teams to translate needs into technical designs and explain implementation choices and trade-offs. Own solutions through design, development, deployment, and production support; contribute to technical standards and help other engineers grow. Qualifications Bachelor's degree in computer science, engineering, information systems, artificial intelligence, or a related field, or equivalent practical experience. 10+ years of professional software engineering or related experience, including substantial work on backend services, APIs, applications, or distributed systems. At least 2 years of experience building or integrating generative AI or LLM-based solutions in applications or business systems. Strong programming skills in C#/.NET preferred; experience with Python or another production language such as Java, JavaScript, or TypeScript is also valuable. Demonstrated ability to design and integrate APIs and services and deliver software from development through deployment and production support. Experience with automated testing, CI/CD, cloud deployment, logging, monitoring, and troubleshooting production applications. Understanding of secure software development, data privacy, and responsible use of AI, with the ability to communicate technical decisions clearly to technical and non-technical colleagues.
Job Description Looking for a career where hard work is valued, and your ideas and feedback are part of the way we operate daily? Want to bring your skills to a company that encourages teamwork and champions continued education and process improvement? Atlas Tech, a veteran-owned IT company serving multiple DoD customers in support of America's warfighters, is looking for a Senior Cloud Engineer in North Charleston, SC. This is an onsite position requiring a relocation if you are outside of the Charleston market. The ideal candidate for this position will have proven experience in a technology-driven program or project supporting the US Navy. If you have systems engineering skills, a strong work ethic and commitment to quality, we would like to talk to you about joining our growing team. You Will: Design, deploy, secure, and sustain Microsoft Azure architectures, with preference for Azure Government over commercial cloud and Azure over AWS. Apply experience in DoD Impact Level environments; IL5 experience is strongly desired, and IL6 experience is ideal. Design hybrid-cloud solutions that run complementary services on premises and in Azure, including integration and management through Azure Arc. Engineer external connectivity and direct-connect solutions, including Azure ExpressRoute, VPN Gateway, routing, and connectivity to on-premises networks. Design and manage internal networking, including virtual networks, subnets, network security groups, VLANs, routing, and network segmentation. Implement cloud security using Microsoft Defender, Azure Firewall, VPN Gateway, secure baselines, least-privilege access, and Zero Trust principles. Design and administer Azure identity, role-based access control, privileged access, and service identities, including integration with program-provided NIS tools. Architect and support Azure Virtual Desktop, Windows and Linux virtual machines, and containerized workloads. Evaluate technical, cybersecurity, mission, and cost constraints and develop resilient Azure solution architectures and implementation plans. Develop repeatable infrastructure provisioning and configuration using Azure Automation integrated with Terraform; PowerShell, Bash, Python, and CI/CD experience is valuable. Troubleshoot complex cloud, network, identity, security, compute, and hybrid-integration issues across lab and production environments. Produce architecture diagrams, implementation plans, test artifacts, operating procedures, and RMF/ATO compliance evidence; participate in technical reviews and change management. You Have: US Citizenship Possession of a Department of Defense (DoD) Secret Level Security Clearance with a current SSBI/T5 investigation, TS/SCI desired DoD Certifications to be qualified as an Information Assurance Technician (IAT) Level II (e.g. CompTIA Security+ certification) 10+ years of experience with C4I systems with specific focus on systems engineering and cybersecurity support Bachelor's Degree in Engineering, Computer Science, or related field Operating System Certificate (e.g., Linux+, Windows Server, CCNA, etc) Experience supporting Navy C4I or comparable DoD mission environments. Azure Government and classified-cloud engineering experience at IL6. Advanced Azure architecture experience with Azure Virtual Desktop, Azure Arc, ExpressRoute, Azure Firewall, Microsoft Defender, VPN Gateway, virtual machines, containers, and role-based access control. Hybrid-cloud architecture spanning on-premises infrastructure and Azure services. Terraform integrated with Azure Automation, Git-based version control, and CI/CD pipelines. Experience with Azure Kubernetes Service or other Kubernetes/container platforms. Familiarity with DISA STIGs, ACAS/SCAP remediation, RMF controls, POA&Ms, and continuous monitoring. Strong communication, technical documentation, collaboration, and leadership skills in a multi-disciplinary Agile environment. Want to hear more? Read on to see what our Team Members say about their experience: "To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. I've had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission." - Jess "With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education." - Wendy Atlas Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, genetic information, or protected veteran status. We are committed to fostering an inclusive workplace where diverse perspectives are valued and respected. Accessibility & Accommodations Atlas Tech strives to make our website accessible to all users. If you need assistance completing the application process or require a reasonable accommodation due to a disability, please contact us at . This contact information is designated for accommodation requests only and cannot be used to inquire about the status of an application. Atlas Tech is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA). Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.
11/14/2026
Full time
Job Description Looking for a career where hard work is valued, and your ideas and feedback are part of the way we operate daily? Want to bring your skills to a company that encourages teamwork and champions continued education and process improvement? Atlas Tech, a veteran-owned IT company serving multiple DoD customers in support of America's warfighters, is looking for a Senior Cloud Engineer in North Charleston, SC. This is an onsite position requiring a relocation if you are outside of the Charleston market. The ideal candidate for this position will have proven experience in a technology-driven program or project supporting the US Navy. If you have systems engineering skills, a strong work ethic and commitment to quality, we would like to talk to you about joining our growing team. You Will: Design, deploy, secure, and sustain Microsoft Azure architectures, with preference for Azure Government over commercial cloud and Azure over AWS. Apply experience in DoD Impact Level environments; IL5 experience is strongly desired, and IL6 experience is ideal. Design hybrid-cloud solutions that run complementary services on premises and in Azure, including integration and management through Azure Arc. Engineer external connectivity and direct-connect solutions, including Azure ExpressRoute, VPN Gateway, routing, and connectivity to on-premises networks. Design and manage internal networking, including virtual networks, subnets, network security groups, VLANs, routing, and network segmentation. Implement cloud security using Microsoft Defender, Azure Firewall, VPN Gateway, secure baselines, least-privilege access, and Zero Trust principles. Design and administer Azure identity, role-based access control, privileged access, and service identities, including integration with program-provided NIS tools. Architect and support Azure Virtual Desktop, Windows and Linux virtual machines, and containerized workloads. Evaluate technical, cybersecurity, mission, and cost constraints and develop resilient Azure solution architectures and implementation plans. Develop repeatable infrastructure provisioning and configuration using Azure Automation integrated with Terraform; PowerShell, Bash, Python, and CI/CD experience is valuable. Troubleshoot complex cloud, network, identity, security, compute, and hybrid-integration issues across lab and production environments. Produce architecture diagrams, implementation plans, test artifacts, operating procedures, and RMF/ATO compliance evidence; participate in technical reviews and change management. You Have: US Citizenship Possession of a Department of Defense (DoD) Secret Level Security Clearance with a current SSBI/T5 investigation, TS/SCI desired DoD Certifications to be qualified as an Information Assurance Technician (IAT) Level II (e.g. CompTIA Security+ certification) 10+ years of experience with C4I systems with specific focus on systems engineering and cybersecurity support Bachelor's Degree in Engineering, Computer Science, or related field Operating System Certificate (e.g., Linux+, Windows Server, CCNA, etc) Experience supporting Navy C4I or comparable DoD mission environments. Azure Government and classified-cloud engineering experience at IL6. Advanced Azure architecture experience with Azure Virtual Desktop, Azure Arc, ExpressRoute, Azure Firewall, Microsoft Defender, VPN Gateway, virtual machines, containers, and role-based access control. Hybrid-cloud architecture spanning on-premises infrastructure and Azure services. Terraform integrated with Azure Automation, Git-based version control, and CI/CD pipelines. Experience with Azure Kubernetes Service or other Kubernetes/container platforms. Familiarity with DISA STIGs, ACAS/SCAP remediation, RMF controls, POA&Ms, and continuous monitoring. Strong communication, technical documentation, collaboration, and leadership skills in a multi-disciplinary Agile environment. Want to hear more? Read on to see what our Team Members say about their experience: "To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. I've had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission." - Jess "With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education." - Wendy Atlas Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, genetic information, or protected veteran status. We are committed to fostering an inclusive workplace where diverse perspectives are valued and respected. Accessibility & Accommodations Atlas Tech strives to make our website accessible to all users. If you need assistance completing the application process or require a reasonable accommodation due to a disability, please contact us at . This contact information is designated for accommodation requests only and cannot be used to inquire about the status of an application. Atlas Tech is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA). Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.
Job Description About Asseta Asseta is an AI-native operating system purpose-built for UHNWIs, family offices, and RIAs, with over $130B in assets on the platform. Our flagship product, the Intelligent Family Office Suite , enables family offices to operate efficiently, securely, and insightfully in an era of generational wealth transfer and digital transformation. Our mission is to empower family offices to achieve financial excellence through intuitive, enterprise-grade software and expertise. We simplify complex wealth management and accounting, foster transparency, and ensure data security, delivering unwavering support for our clients' wealth preservation and growth. The Opportunity Asseta is seeking a Senior Software Engineer to report to our Lead Software Engineer and Chief Technology Officer. You'll design and build the features at the heart of the Intelligent Family Office Suite , owning meaningful product areas end-to-end. Working closely with product and implementation teams, you'll ship production software that directly shapes how clients manage their accounting and investment operations. As a Senior Software Engineer, You Will Design, build, and ship features across the platform, from backend services to polished user-facing experiences Own significant product areas end-to-end, scoping, implementation, testing, and delivery Build and maintain integrations with banking and third-party systems Write clean, well-tested, maintainable code and participate actively in code review Collaborate with product and implementation teams to turn family office workflows into reliable software Contribute to architecture decisions and help continuously improve engineering practices Help uphold high standards for security, performance, and data integrity across the platform Qualifications 4+ years of professional software engineering experience building and shipping production software Strong full-stack skills, with proficiency in Python, modern API design, React, and TypeScript Experience building scalable, cloud-native SaaS products, ideally on AWS Solid understanding of databases, distributed systems, testing, and secure coding practices Ability to work independently, own features end-to-end, and collaborate across functions Excellent communication and problem-solving skills Experience in fintech, accounting software, or family office/wealth management is a plus Compensation and Benefits Asseta offers competitive compensation along with a benefits package that includes: Base salary of $150,000-$225,000 Equity plan eligibility Comprehensive health, dental, and vision coverage Unlimited paid time off Conference sponsorships and training opportunities Frequent company off-sites and team-building events On-site at our New York City headquarters
11/14/2026
Full time
Job Description About Asseta Asseta is an AI-native operating system purpose-built for UHNWIs, family offices, and RIAs, with over $130B in assets on the platform. Our flagship product, the Intelligent Family Office Suite , enables family offices to operate efficiently, securely, and insightfully in an era of generational wealth transfer and digital transformation. Our mission is to empower family offices to achieve financial excellence through intuitive, enterprise-grade software and expertise. We simplify complex wealth management and accounting, foster transparency, and ensure data security, delivering unwavering support for our clients' wealth preservation and growth. The Opportunity Asseta is seeking a Senior Software Engineer to report to our Lead Software Engineer and Chief Technology Officer. You'll design and build the features at the heart of the Intelligent Family Office Suite , owning meaningful product areas end-to-end. Working closely with product and implementation teams, you'll ship production software that directly shapes how clients manage their accounting and investment operations. As a Senior Software Engineer, You Will Design, build, and ship features across the platform, from backend services to polished user-facing experiences Own significant product areas end-to-end, scoping, implementation, testing, and delivery Build and maintain integrations with banking and third-party systems Write clean, well-tested, maintainable code and participate actively in code review Collaborate with product and implementation teams to turn family office workflows into reliable software Contribute to architecture decisions and help continuously improve engineering practices Help uphold high standards for security, performance, and data integrity across the platform Qualifications 4+ years of professional software engineering experience building and shipping production software Strong full-stack skills, with proficiency in Python, modern API design, React, and TypeScript Experience building scalable, cloud-native SaaS products, ideally on AWS Solid understanding of databases, distributed systems, testing, and secure coding practices Ability to work independently, own features end-to-end, and collaborate across functions Excellent communication and problem-solving skills Experience in fintech, accounting software, or family office/wealth management is a plus Compensation and Benefits Asseta offers competitive compensation along with a benefits package that includes: Base salary of $150,000-$225,000 Equity plan eligibility Comprehensive health, dental, and vision coverage Unlimited paid time off Conference sponsorships and training opportunities Frequent company off-sites and team-building events On-site at our New York City headquarters
Job Description Job Title: Cloud Solutions Architect / Cloud Engineer /Application Architect- AI Agentic, Integration & Architecture Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Duration: Long Term Contract Certification/Experience: Cloud certification and additional relevant certification Position Summary We are seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. 1. AI Agentic Architecture -Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. - Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). - Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture - Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. - Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE - Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. - Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. - Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration - Guide application modernization and cloud design on Azure, AWS, and hybrid environments. - Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and security requirements. - Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Qualifications 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication
11/14/2026
Full time
Job Description Job Title: Cloud Solutions Architect / Cloud Engineer /Application Architect- AI Agentic, Integration & Architecture Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Duration: Long Term Contract Certification/Experience: Cloud certification and additional relevant certification Position Summary We are seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. 1. AI Agentic Architecture -Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. - Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). - Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture - Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. - Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE - Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. - Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. - Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration - Guide application modernization and cloud design on Azure, AWS, and hybrid environments. - Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and security requirements. - Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Qualifications 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication
Job Description End Client: Metropolitan Transportation Authority (MTA) Job Title: Senior AI & Cloud Solutions Architect Duration: 12 months + Extension Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Number of Hours: 37.5 Hours a week Interview Type: Webcam or In-Person Ceipal ID: MTA_AI122_MA Job Code: 6122-1 Scope of Project: The MTA is seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. Responsibilities: 1. AI Agentic Architecture Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration Guide application modernization and cloud design on Azure, AWS, and hybrid environments. Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and MTA security requirements. Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Required/Preferred Skills: 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication. Cloud certification and additional relevant certification preferred. Expertise in agentic AI architecture, multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. Experience with enterprise systems and APIs, MCP, and event-driven triggers. Knowledge of API-led, event-driven, and messaging integration patterns, API lifecycle, and gateway strategy. Experience with legacy, SaaS, and cloud-native integration. Experience developing application, integration, API, and AI architecture standards and reference architectures. Experience establishing and operating an Architecture Center of Excellence (COE), including governance forums, design reviews, training, and playbooks. Knowledge of Azure, AWS, hybrid cloud environments, NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. V Group Inc. is a NJ-based IT Services and Products Company with its business strategically categorized in various Business Units including Public Sector, Enterprise Solutions, Professional Services, Ecommerce, Projects, and Products. Within Public Sector business unit, we cater IT Professional Services to Federal, State and Local. We have multiple awards/ contracts with 30+ states, including but not limited to NY, CA, FL, GA, MD, MI, NC, OH, OR, CO, CT, TN, PA, TX, VA, NM, VT, and WA. If you are considering applying for a position with V Group, or in partnering with us on a position, please feel free to contact me for any questions you may have regarding our services and the advantages we can offer you as a consultant. Please share my contact information with others working in Information Technology. Website: LinkedIn: -group/ Facebook: Twitter:
11/14/2026
Full time
Job Description End Client: Metropolitan Transportation Authority (MTA) Job Title: Senior AI & Cloud Solutions Architect Duration: 12 months + Extension Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Number of Hours: 37.5 Hours a week Interview Type: Webcam or In-Person Ceipal ID: MTA_AI122_MA Job Code: 6122-1 Scope of Project: The MTA is seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. Responsibilities: 1. AI Agentic Architecture Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration Guide application modernization and cloud design on Azure, AWS, and hybrid environments. Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and MTA security requirements. Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Required/Preferred Skills: 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication. Cloud certification and additional relevant certification preferred. Expertise in agentic AI architecture, multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. Experience with enterprise systems and APIs, MCP, and event-driven triggers. Knowledge of API-led, event-driven, and messaging integration patterns, API lifecycle, and gateway strategy. Experience with legacy, SaaS, and cloud-native integration. Experience developing application, integration, API, and AI architecture standards and reference architectures. Experience establishing and operating an Architecture Center of Excellence (COE), including governance forums, design reviews, training, and playbooks. Knowledge of Azure, AWS, hybrid cloud environments, NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. V Group Inc. is a NJ-based IT Services and Products Company with its business strategically categorized in various Business Units including Public Sector, Enterprise Solutions, Professional Services, Ecommerce, Projects, and Products. Within Public Sector business unit, we cater IT Professional Services to Federal, State and Local. We have multiple awards/ contracts with 30+ states, including but not limited to NY, CA, FL, GA, MD, MI, NC, OH, OR, CO, CT, TN, PA, TX, VA, NM, VT, and WA. If you are considering applying for a position with V Group, or in partnering with us on a position, please feel free to contact me for any questions you may have regarding our services and the advantages we can offer you as a consultant. Please share my contact information with others working in Information Technology. Website: LinkedIn: -group/ Facebook: Twitter:
Job Description Senior Software Integration Engineer Baltimore, MD Hybrid: 3 days onsite per week Full-time, direct-hire opportunity We're seeking a Senior SW Integration Engineer to build and support integrations across enterprise applications and data platforms. This role requires strong backend engineering skills and experience taking solutions from business requirements through development, testing, and production deployment. What you'll do: Design and build integrations connecting enterprise systems through REST APIs and databases. Develop data transformation, validation, and reconciliation workflows. Translate business requirements into practical technical solutions. Use Git, testing, and secure credential management throughout development. Participate in controlled production releases, monitoring, and troubleshooting. Collaborate with engineering teams and business stakeholders throughout the solution lifecycle. What we're looking for: Ideally 5+ years of experience in backend software development, integration engineering, or data engineering. Hands-on experience building API integrations and working with SQL and relational databases. Demonstrated experience delivering and supporting solutions in production. Familiarity with source control, Agile development, testing, and release processes. Strong technical problem-solving skills and the ability to explain your implementation decisions. Snowflake experience strongly preferred; Python and Boomi or similar integration platform experience are valuable. Candidates should be comfortable discussing a solution they personally helped deliver-including the requirements, API interactions, data handling, security, and production release. This is an opportunity to apply software engineering skills to connecting enterprise platforms and automating business processes. Please apply to the role to be considered.
11/14/2026
Full time
Job Description Senior Software Integration Engineer Baltimore, MD Hybrid: 3 days onsite per week Full-time, direct-hire opportunity We're seeking a Senior SW Integration Engineer to build and support integrations across enterprise applications and data platforms. This role requires strong backend engineering skills and experience taking solutions from business requirements through development, testing, and production deployment. What you'll do: Design and build integrations connecting enterprise systems through REST APIs and databases. Develop data transformation, validation, and reconciliation workflows. Translate business requirements into practical technical solutions. Use Git, testing, and secure credential management throughout development. Participate in controlled production releases, monitoring, and troubleshooting. Collaborate with engineering teams and business stakeholders throughout the solution lifecycle. What we're looking for: Ideally 5+ years of experience in backend software development, integration engineering, or data engineering. Hands-on experience building API integrations and working with SQL and relational databases. Demonstrated experience delivering and supporting solutions in production. Familiarity with source control, Agile development, testing, and release processes. Strong technical problem-solving skills and the ability to explain your implementation decisions. Snowflake experience strongly preferred; Python and Boomi or similar integration platform experience are valuable. Candidates should be comfortable discussing a solution they personally helped deliver-including the requirements, API interactions, data handling, security, and production release. This is an opportunity to apply software engineering skills to connecting enterprise platforms and automating business processes. Please apply to the role to be considered.
Job Description Top tier financial investment firm seeks an AI Engineer who will lead the design, build, and end-to-end delivery of business-facing AI applications and automation across the Firm. As a member of the AI team within Business Technology, the AI Engineer will work directly with front office Investment Profesionals to understand transaction workflows, translate business needs into technical specifications, and own delivery of practical solutions within the Firm's ecosystem, anticipating issues and managing priorities, resources, and timelines. This is a hands-on, full-stack engineering role combining stakeholder engagement, requirements analysis, software development, testing, deployment, and support. The AI Engineer will also contribute to the Firm's internal AI platform by building and maintaining reusable API integrations, Model Context Protocol (MCP) connectors, and workflow components that securely connect AI applications and agents to approved enterprise systems and data. The AI Engineer will lead day-to-day delivery with a high degree of independence, provide technical guidance and mentoring to junior colleagues, and coordinate with Businesses, Data Science, IT, Information Security, Compliance, and external vendors. Key Responsibilities: Partner with Business to lead requirements gathering and documentation; translate workflows into user stories, technical specifications, and acceptance criteria. Evaluate existing tools before recommending a new build. Lead the design and development of full-stack applications, dashboards, and workflow tools, connecting user interfaces, APIs, databases, and approved AI services to support information synthesis and banker productivity. Own the design, build, testing, and maintenance of secure, reusable API integrations and MCP connectors between the Firm's AI platform and approved enterprise systems, data sources, and third-party services. Lead the development and maintenance of reviewed, configurable templates and reusable components so solutions can be adapted across transactions rather than rebuilt for each deal. Guide AI workflow orchestration and contribute to technical planning. Apply and reinforce engineering best practices, including version control, peer code review, automated testing, secure credential management, logging, and technical documentation. Evaluate AI output quality, reliability, latency, and cost. Lead user acceptance testing, user training, and feedback. Work with IT and engineering on approved deployment, monitoring, support handover, and retirement of temporary deal tools. Partner with Information Security and Compliance to identify and review material changes to solutions or enhancements that warrant additional assessment. Required Skills: Strong hands-on software development expertise in Python and JavaScript or TypeScript , with experience building web interfaces and backend services using frameworks such as React, Next.js, or Django. Demonstrated expertise designing, building, consuming, and troubleshooting APIs and connectors, with familiarity with Model Context Protocol (MCP) desirable. Strong working knowledge of SQL and relational databases Proficiency in Git, testing, debugging, and deployment practices, with the ability to write clear, maintainable, reviewable code. Working knowledge of generative AI architecture and demonstrated experience with large language model integration, including output validation and the limitations of AI-generated results and code. Ability to translate complex business needs into workable technical solutions, exercise sound technical judgment, and explain trade-offs and business objectives clearly to technical and non-technical stakeholders. Strong analytical thinking, organization, documentation, attention to detail, and customer service orientation. Sound judgment when handling confidential information and escalating risks. Intellectual curiosity, adaptability, and the ability to lead projects from start to finish with a high degree of independence, guide junior colleagues, and recognize when to involve senior colleagues on architecture, security, and production readiness. Plusses: Experience with AI-enabled applications, retrieval-augmented generation, agent workflows, or model evaluation. Experience with cloud platforms such as Azure, containers, CI/CD, authentication, role-based access controls, and application monitoring. Experience working in an Agile environment, using tools such as Jira, and conducting stakeholder demos, user acceptance testing, or user training. Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or a related technical field Demonstrated professional experience delivering full-stack applications and integrations, with ownership of projects or workstreams from requirements through deployment and support.
11/14/2026
Full time
Job Description Top tier financial investment firm seeks an AI Engineer who will lead the design, build, and end-to-end delivery of business-facing AI applications and automation across the Firm. As a member of the AI team within Business Technology, the AI Engineer will work directly with front office Investment Profesionals to understand transaction workflows, translate business needs into technical specifications, and own delivery of practical solutions within the Firm's ecosystem, anticipating issues and managing priorities, resources, and timelines. This is a hands-on, full-stack engineering role combining stakeholder engagement, requirements analysis, software development, testing, deployment, and support. The AI Engineer will also contribute to the Firm's internal AI platform by building and maintaining reusable API integrations, Model Context Protocol (MCP) connectors, and workflow components that securely connect AI applications and agents to approved enterprise systems and data. The AI Engineer will lead day-to-day delivery with a high degree of independence, provide technical guidance and mentoring to junior colleagues, and coordinate with Businesses, Data Science, IT, Information Security, Compliance, and external vendors. Key Responsibilities: Partner with Business to lead requirements gathering and documentation; translate workflows into user stories, technical specifications, and acceptance criteria. Evaluate existing tools before recommending a new build. Lead the design and development of full-stack applications, dashboards, and workflow tools, connecting user interfaces, APIs, databases, and approved AI services to support information synthesis and banker productivity. Own the design, build, testing, and maintenance of secure, reusable API integrations and MCP connectors between the Firm's AI platform and approved enterprise systems, data sources, and third-party services. Lead the development and maintenance of reviewed, configurable templates and reusable components so solutions can be adapted across transactions rather than rebuilt for each deal. Guide AI workflow orchestration and contribute to technical planning. Apply and reinforce engineering best practices, including version control, peer code review, automated testing, secure credential management, logging, and technical documentation. Evaluate AI output quality, reliability, latency, and cost. Lead user acceptance testing, user training, and feedback. Work with IT and engineering on approved deployment, monitoring, support handover, and retirement of temporary deal tools. Partner with Information Security and Compliance to identify and review material changes to solutions or enhancements that warrant additional assessment. Required Skills: Strong hands-on software development expertise in Python and JavaScript or TypeScript , with experience building web interfaces and backend services using frameworks such as React, Next.js, or Django. Demonstrated expertise designing, building, consuming, and troubleshooting APIs and connectors, with familiarity with Model Context Protocol (MCP) desirable. Strong working knowledge of SQL and relational databases Proficiency in Git, testing, debugging, and deployment practices, with the ability to write clear, maintainable, reviewable code. Working knowledge of generative AI architecture and demonstrated experience with large language model integration, including output validation and the limitations of AI-generated results and code. Ability to translate complex business needs into workable technical solutions, exercise sound technical judgment, and explain trade-offs and business objectives clearly to technical and non-technical stakeholders. Strong analytical thinking, organization, documentation, attention to detail, and customer service orientation. Sound judgment when handling confidential information and escalating risks. Intellectual curiosity, adaptability, and the ability to lead projects from start to finish with a high degree of independence, guide junior colleagues, and recognize when to involve senior colleagues on architecture, security, and production readiness. Plusses: Experience with AI-enabled applications, retrieval-augmented generation, agent workflows, or model evaluation. Experience with cloud platforms such as Azure, containers, CI/CD, authentication, role-based access controls, and application monitoring. Experience working in an Agile environment, using tools such as Jira, and conducting stakeholder demos, user acceptance testing, or user training. Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or a related technical field Demonstrated professional experience delivering full-stack applications and integrations, with ownership of projects or workstreams from requirements through deployment and support.
Yoh, A Day & Zimmermann Company
Durham, North Carolina
Job Description please share your resume to : Senior Full Stack Engineer Durham, NC - US Citizen or GC holders only W2 contract role Role Summary We are seeking a Senior Full Stack Engineer to design, develop, and operate scalable backend systems and cloud native services. This role is primarily focused on backend development, cloud operations, DevOps practices, and the delivery of secure, reliable services. The ideal candidate will come from the development side of DevOps and have strong hands on experience developing in Go, along with experience in Java, Python, or another comparable language. The candidate should be able to develop Go services from scratch and support the full service lifecycle from design and development through deployment and operations. Responsibilities • Design, develop, test, deploy, and maintain highly scalable backend services using Go • Build high throughput APIs and cloud native services • Own services throughout the full development and operations lifecycle • Collaborate with product managers, architects, and engineering teams to translate requirements into technical solutions • Improve engineering processes, tooling, automation, and CI/CD pipelines • Apply DevOps practices to improve delivery speed, reliability, and operational efficiency • Analyze complex engineering challenges and develop effective solutions • Support secure authentication, authorization, and access management systems • Contribute to systems designed for high availability, reliability, and fault tolerance Required Qualifications • 6 or more years of programming experience with Go, Java, Node.js, Python, or comparable technologies • Demonstrated ability to develop Go applications and services from scratch • Strong backend development experience with high throughput APIs • Experience with cloud providers such as AWS or Azure • Strong CI/CD, automation, and DevOps experience • Experience with Docker and Kubernetes • Experience supporting service deployment and operations • Strong problem solving, written, and verbal communication skills • Bachelor's degree or equivalent experience • Experience using AI developer tools such as GitHub Copilot or similar Preferred Qualifications • Experience with Envoy proxy configuration, service meshes, routing, or load balancing systems • Familiarity with observability tools, including logging, metrics, and tracing • Knowledge of cloud security best practices and compliance • Experience designing highly available and fault tolerant systems • Prior experience leading medium to large technical initiatives Estimated Min Rate : $49.00 Estimated Max Rate : $70.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
11/14/2026
Full time
Job Description please share your resume to : Senior Full Stack Engineer Durham, NC - US Citizen or GC holders only W2 contract role Role Summary We are seeking a Senior Full Stack Engineer to design, develop, and operate scalable backend systems and cloud native services. This role is primarily focused on backend development, cloud operations, DevOps practices, and the delivery of secure, reliable services. The ideal candidate will come from the development side of DevOps and have strong hands on experience developing in Go, along with experience in Java, Python, or another comparable language. The candidate should be able to develop Go services from scratch and support the full service lifecycle from design and development through deployment and operations. Responsibilities • Design, develop, test, deploy, and maintain highly scalable backend services using Go • Build high throughput APIs and cloud native services • Own services throughout the full development and operations lifecycle • Collaborate with product managers, architects, and engineering teams to translate requirements into technical solutions • Improve engineering processes, tooling, automation, and CI/CD pipelines • Apply DevOps practices to improve delivery speed, reliability, and operational efficiency • Analyze complex engineering challenges and develop effective solutions • Support secure authentication, authorization, and access management systems • Contribute to systems designed for high availability, reliability, and fault tolerance Required Qualifications • 6 or more years of programming experience with Go, Java, Node.js, Python, or comparable technologies • Demonstrated ability to develop Go applications and services from scratch • Strong backend development experience with high throughput APIs • Experience with cloud providers such as AWS or Azure • Strong CI/CD, automation, and DevOps experience • Experience with Docker and Kubernetes • Experience supporting service deployment and operations • Strong problem solving, written, and verbal communication skills • Bachelor's degree or equivalent experience • Experience using AI developer tools such as GitHub Copilot or similar Preferred Qualifications • Experience with Envoy proxy configuration, service meshes, routing, or load balancing systems • Familiarity with observability tools, including logging, metrics, and tracing • Knowledge of cloud security best practices and compliance • Experience designing highly available and fault tolerant systems • Prior experience leading medium to large technical initiatives Estimated Min Rate : $49.00 Estimated Max Rate : $70.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
Job Description Job Title: DevOps Engineer IV Location: Chicago, IL (100% Onsite) Employment Type: Contract Position Overview We are seeking an experienced Senior DevOps Engineer with strong hands-on expertise in AWS Cloud Infrastructure, Terraform, Kubernetes/EKS, Datadog, and CI/CD automation to support enterprise-level cloud platforms and production environments. The ideal candidate will have extensive experience designing, deploying, maintaining, and troubleshooting AWS infrastructure, developing reusable Terraform modules, managing containerized applications, and implementing monitoring and observability solutions. This position requires a technically proficient, hands-on engineer who can independently resolve complex production issues, improve infrastructure reliability, automate operational processes, and collaborate with cross-functional engineering teams. The successful candidate will play a critical role in ensuring high availability, scalability, security, and operational efficiency across enterprise cloud platforms. Key ResponsibilitiesAWS Cloud Infrastructure & Production Support Manage, maintain, and optimize enterprise-scale AWS cloud infrastructure supporting business-critical applications. Troubleshoot complex production issues across AWS services, including EC2, ECS, EKS, Lambda, S3, DynamoDB, DocumentDB, IAM, and networking. Ensure the availability, performance, scalability, and security of AWS-hosted applications and infrastructure. Investigate production incidents, perform root-cause analysis, and implement long-term corrective solutions. Support cloud infrastructure capacity planning, upgrades, maintenance, and performance optimization. Implement AWS operational best practices for monitoring, security, reliability, and cost management. Collaborate with application development, infrastructure, and operations teams to improve production stability. Terraform & Infrastructure as Code (IaC) Design, develop, implement, and maintain AWS infrastructure using Terraform. Build reusable Terraform modules and standardized infrastructure configurations. Manage Terraform state files, resource dependencies, execution plans, and module versioning. Troubleshoot infrastructure drift, configuration issues, and deployment failures. Automate infrastructure provisioning and configuration across development, testing, staging, and production environments. Integrate Terraform workflows with CI/CD pipelines for automated infrastructure deployment. Participate in infrastructure code reviews and contribute to documentation, standards, and best practices. Ensure infrastructure changes are deployed securely and consistently through controlled processes. Kubernetes, EKS & Container Management Manage and support production Kubernetes and Amazon EKS environments. Deploy, configure, monitor, and troubleshoot containerized applications using Docker, Kubernetes, and AWS ECS/EKS. Develop and maintain Kubernetes manifests, Helm charts, and deployment configurations. Support Kubernetes cluster administration, upgrades, autoscaling, and workload optimization. Troubleshoot container networking, ingress controllers, service discovery, load balancing, and IAM/RBAC integration. Investigate and resolve production incidents involving containerized applications and distributed systems. Implement container orchestration best practices to improve reliability, scalability, and deployment efficiency. Support automated application deployments using GitOps and CI/CD methodologies. Monitoring, Observability & Incident Management Administer and maintain enterprise monitoring and application performance management (APM) solutions, particularly Datadog. Develop and optimize monitoring dashboards, alerts, log management configurations, and application performance metrics. Maintain monitoring integrations with BigPanda and Configuration Management Database (CMDB) systems. Define and implement alerting standards for production environments. Monitor application availability, system health, infrastructure performance, and latency. Develop logging and indexing strategies to improve visibility and troubleshooting capabilities. Investigate production alerts, system outages, and performance issues. Collaborate with DevOps, development, and problem management teams to resolve incidents and improve operational reliability. Create reporting dashboards to track system stability, performance, availability, and cloud infrastructure costs. CI/CD, Automation & DevOps Engineering Design, implement, maintain, and optimize automated CI/CD pipelines. Work with Jenkins, GitHub Actions, GitLab CI, Harness, or similar deployment automation tools. Automate infrastructure provisioning, application deployments, and configuration management. Develop automation scripts using Python, Bash, TypeScript, JavaScript, or other relevant technologies. Utilize Git-based source control, branching, merging, and repository management practices. Support configuration management using Ansible and AWS CloudFormation. Improve deployment processes, reduce manual intervention, and enhance operational efficiency. Support production releases, infrastructure upgrades, and change management activities. Technical Leadership & Collaboration Act as a senior technical resource for complex AWS, Terraform, Kubernetes, and production infrastructure issues. Independently troubleshoot critical production incidents and implement sustainable solutions. Collaborate with engineering, security, infrastructure, and application development teams. Mentor and provide technical guidance to junior and mid-level engineers. Develop technical documentation, operational runbooks, troubleshooting procedures, and infrastructure standards. Recommend improvements to cloud architecture, automation, monitoring, and platform reliability. Communicate technical risks, recommendations, and solutions effectively to engineering teams and leadership. Required QualificationsProfessional Experience 10+ years of overall Information Technology experience. 7+ years of hands-on experience in DevOps Engineering, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure. 5+ years of hands-on experience supporting and troubleshooting AWS production environments. 5+ years of experience designing and developing Terraform-based infrastructure. 5+ years of experience working with containerized applications and environments. 3+ years of hands-on experience managing Kubernetes or Amazon EKS in production. Technical Skills - Must Have 1. AWS Cloud Infrastructure Extensive hands-on experience with AWS production infrastructure and cloud operations. Strong knowledge of EC2, ECS, EKS, Lambda, S3, DynamoDB, IAM, and AWS networking. Experience troubleshooting distributed cloud applications and complex infrastructure issues. Understanding of AWS serverless architecture, CloudFormation, security, monitoring, and operational best practices. 2. Terraform & Infrastructure Automation Advanced hands-on experience developing Terraform configurations and reusable modules. Strong understanding of Terraform state management, execution plans, resource dependencies, and infrastructure drift. Experience provisioning and managing AWS infrastructure directly using Terraform. Ability to troubleshoot complex Terraform deployment issues and implement infrastructure automation. Experience integrating Terraform with CI/CD workflows. 3. Kubernetes / EKS & Docker Strong experience with Kubernetes, Amazon EKS, and Docker in production environments. Hands-on knowledge of Helm, kubectl, Kubernetes manifests, and cluster administration. Experience with workload deployments, autoscaling, networking, ingress, IAM/RBAC, and troubleshooting. Ability to manage production container platforms and resolve infrastructure-related incidents. 4. Datadog & Observability Hands-on experience with Datadog for infrastructure monitoring, application performance monitoring, and log management. Experience creating monitoring dashboards, alerts, and performance metrics. Strong understanding of production incident response, root-cause analysis, and system reliability. Knowledge of monitoring integrations and alert management practices. 5. CI/CD & Automation Experience with Jenkins, GitHub Actions, GitLab CI, Harness, or equivalent CI/CD tools. Strong knowledge of Git, source control, and automated deployment processes. Experience with infrastructure automation, scripting, and configuration management. Familiarity with Ansible and AWS CloudFormation. Additional Technical Knowledge Experience with TypeScript and JavaScript. Understanding of AWS Cognito, Couchbase, and DocumentDB. Familiarity with Windows Server and IIS. Experience monitoring Docker containers and Kubernetes workloads. Strong knowledge of systems administration . click apply for full job details
11/14/2026
Full time
Job Description Job Title: DevOps Engineer IV Location: Chicago, IL (100% Onsite) Employment Type: Contract Position Overview We are seeking an experienced Senior DevOps Engineer with strong hands-on expertise in AWS Cloud Infrastructure, Terraform, Kubernetes/EKS, Datadog, and CI/CD automation to support enterprise-level cloud platforms and production environments. The ideal candidate will have extensive experience designing, deploying, maintaining, and troubleshooting AWS infrastructure, developing reusable Terraform modules, managing containerized applications, and implementing monitoring and observability solutions. This position requires a technically proficient, hands-on engineer who can independently resolve complex production issues, improve infrastructure reliability, automate operational processes, and collaborate with cross-functional engineering teams. The successful candidate will play a critical role in ensuring high availability, scalability, security, and operational efficiency across enterprise cloud platforms. Key ResponsibilitiesAWS Cloud Infrastructure & Production Support Manage, maintain, and optimize enterprise-scale AWS cloud infrastructure supporting business-critical applications. Troubleshoot complex production issues across AWS services, including EC2, ECS, EKS, Lambda, S3, DynamoDB, DocumentDB, IAM, and networking. Ensure the availability, performance, scalability, and security of AWS-hosted applications and infrastructure. Investigate production incidents, perform root-cause analysis, and implement long-term corrective solutions. Support cloud infrastructure capacity planning, upgrades, maintenance, and performance optimization. Implement AWS operational best practices for monitoring, security, reliability, and cost management. Collaborate with application development, infrastructure, and operations teams to improve production stability. Terraform & Infrastructure as Code (IaC) Design, develop, implement, and maintain AWS infrastructure using Terraform. Build reusable Terraform modules and standardized infrastructure configurations. Manage Terraform state files, resource dependencies, execution plans, and module versioning. Troubleshoot infrastructure drift, configuration issues, and deployment failures. Automate infrastructure provisioning and configuration across development, testing, staging, and production environments. Integrate Terraform workflows with CI/CD pipelines for automated infrastructure deployment. Participate in infrastructure code reviews and contribute to documentation, standards, and best practices. Ensure infrastructure changes are deployed securely and consistently through controlled processes. Kubernetes, EKS & Container Management Manage and support production Kubernetes and Amazon EKS environments. Deploy, configure, monitor, and troubleshoot containerized applications using Docker, Kubernetes, and AWS ECS/EKS. Develop and maintain Kubernetes manifests, Helm charts, and deployment configurations. Support Kubernetes cluster administration, upgrades, autoscaling, and workload optimization. Troubleshoot container networking, ingress controllers, service discovery, load balancing, and IAM/RBAC integration. Investigate and resolve production incidents involving containerized applications and distributed systems. Implement container orchestration best practices to improve reliability, scalability, and deployment efficiency. Support automated application deployments using GitOps and CI/CD methodologies. Monitoring, Observability & Incident Management Administer and maintain enterprise monitoring and application performance management (APM) solutions, particularly Datadog. Develop and optimize monitoring dashboards, alerts, log management configurations, and application performance metrics. Maintain monitoring integrations with BigPanda and Configuration Management Database (CMDB) systems. Define and implement alerting standards for production environments. Monitor application availability, system health, infrastructure performance, and latency. Develop logging and indexing strategies to improve visibility and troubleshooting capabilities. Investigate production alerts, system outages, and performance issues. Collaborate with DevOps, development, and problem management teams to resolve incidents and improve operational reliability. Create reporting dashboards to track system stability, performance, availability, and cloud infrastructure costs. CI/CD, Automation & DevOps Engineering Design, implement, maintain, and optimize automated CI/CD pipelines. Work with Jenkins, GitHub Actions, GitLab CI, Harness, or similar deployment automation tools. Automate infrastructure provisioning, application deployments, and configuration management. Develop automation scripts using Python, Bash, TypeScript, JavaScript, or other relevant technologies. Utilize Git-based source control, branching, merging, and repository management practices. Support configuration management using Ansible and AWS CloudFormation. Improve deployment processes, reduce manual intervention, and enhance operational efficiency. Support production releases, infrastructure upgrades, and change management activities. Technical Leadership & Collaboration Act as a senior technical resource for complex AWS, Terraform, Kubernetes, and production infrastructure issues. Independently troubleshoot critical production incidents and implement sustainable solutions. Collaborate with engineering, security, infrastructure, and application development teams. Mentor and provide technical guidance to junior and mid-level engineers. Develop technical documentation, operational runbooks, troubleshooting procedures, and infrastructure standards. Recommend improvements to cloud architecture, automation, monitoring, and platform reliability. Communicate technical risks, recommendations, and solutions effectively to engineering teams and leadership. Required QualificationsProfessional Experience 10+ years of overall Information Technology experience. 7+ years of hands-on experience in DevOps Engineering, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure. 5+ years of hands-on experience supporting and troubleshooting AWS production environments. 5+ years of experience designing and developing Terraform-based infrastructure. 5+ years of experience working with containerized applications and environments. 3+ years of hands-on experience managing Kubernetes or Amazon EKS in production. Technical Skills - Must Have 1. AWS Cloud Infrastructure Extensive hands-on experience with AWS production infrastructure and cloud operations. Strong knowledge of EC2, ECS, EKS, Lambda, S3, DynamoDB, IAM, and AWS networking. Experience troubleshooting distributed cloud applications and complex infrastructure issues. Understanding of AWS serverless architecture, CloudFormation, security, monitoring, and operational best practices. 2. Terraform & Infrastructure Automation Advanced hands-on experience developing Terraform configurations and reusable modules. Strong understanding of Terraform state management, execution plans, resource dependencies, and infrastructure drift. Experience provisioning and managing AWS infrastructure directly using Terraform. Ability to troubleshoot complex Terraform deployment issues and implement infrastructure automation. Experience integrating Terraform with CI/CD workflows. 3. Kubernetes / EKS & Docker Strong experience with Kubernetes, Amazon EKS, and Docker in production environments. Hands-on knowledge of Helm, kubectl, Kubernetes manifests, and cluster administration. Experience with workload deployments, autoscaling, networking, ingress, IAM/RBAC, and troubleshooting. Ability to manage production container platforms and resolve infrastructure-related incidents. 4. Datadog & Observability Hands-on experience with Datadog for infrastructure monitoring, application performance monitoring, and log management. Experience creating monitoring dashboards, alerts, and performance metrics. Strong understanding of production incident response, root-cause analysis, and system reliability. Knowledge of monitoring integrations and alert management practices. 5. CI/CD & Automation Experience with Jenkins, GitHub Actions, GitLab CI, Harness, or equivalent CI/CD tools. Strong knowledge of Git, source control, and automated deployment processes. Experience with infrastructure automation, scripting, and configuration management. Familiarity with Ansible and AWS CloudFormation. Additional Technical Knowledge Experience with TypeScript and JavaScript. Understanding of AWS Cognito, Couchbase, and DocumentDB. Familiarity with Windows Server and IIS. Experience monitoring Docker containers and Kubernetes workloads. Strong knowledge of systems administration . click apply for full job details
Job Description ABOUT US Shipwell is revolutionizing the logistics industry, redefining how the supply chain operates after centuries of convention. By uniting thousands of shippers and carriers on a cutting-edge technology platform, we are the leading software solution in logistics. With a bold startup energy and recent $35M Series B funding, Shipwell offers an exceptional opportunity to shape the future of a company destined for the Fortune 500. Supported by top-tier Silicon Valley and Austin investors, we are dedicated to driving innovation and growth in the supply chain sector. STAFF SOFTWARE ENGINEER The Staff Software Engineer role is a rare chance to shape the core systems of a high-growth startup that's breaking barriers in its third record-setting year. We're looking for a senior technical leader who does their best work hands-on: someone who takes on the hardest problems, writes code that sets the standard for others, and helps whole teams get better. Shipwell is an AI-forward engineering organization. We expect our Staff Engineers to be experienced with AI-driven development and to lead in it, using agents to multiply what they and their teams can deliver. As a Staff Engineer, you'll own complex, high-impact parts of our logistics platform from design through production. You'll work closely with engineering, product, and architecture to turn technical strategy into working software, and you'll mentor engineers along the way. WHAT YOU WILL DO WHEN YOU GET HERE • Own the design, build, and ongoing health of critical systems and services on the Shipwell platform. • Write high-quality, well-tested, production code, and spend most of your time building. • Use AI agents and multi-agent workflows day to day to speed up code generation, code review, and QA testing, while keeping quality high. • Build and share custom agents, establishing / reviewing projects AI Harness, and workflows that boost your own productivity and your team's. • Help set how Shipwell engineers use AI, including best practices, guardrails, and ways to measure its impact on speed and quality. • Break large, unclear problems into clear technical plans that teams can deliver step by step. • Lead technical efforts that span several teams, keeping work aligned and unblocking delivery. Acting as gate keeper and reviewer for project code patterns to support squad decisions and tuning, or critical shared entities • Work with architecture and product leadership to turn platform strategy into practical designs. • Raise the bar for code quality, testing, observability, and operations through code reviews and by example. • Find and fix performance bottlenecks, reliability risks, and tech debt before they become problems. • Mentor senior and mid-level engineers, including coaching them on working well with AI tools. • Take part in incident response and root-cause analysis, and drive lasting fixes. WHAT YOU NEED TO HAVE • BS/MS/Ph.D. in Computer Science or a related field, or equivalent practical experience. • 8+ years of professional software development, including 2+ years at a senior or staff level leading technical projects. • A track record of designing, building, and running distributed systems at scale in production. • Deep expertise in at least one modern language (e.g., Python / Django). • Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB), including data modeling and query tuning. • Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure), containers, and CI/CD pipelines. • Experience with API design, event-driven architectures, and integrating with third-party systems. • Familiarity with agile development and DevOps practices, including owning what you ship in production with proven experience with GH actions or similar, for CI. • Excellent communication skills, with the ability to explain technical tradeoffs to engineers and non-technical partners. AI-Driven Development • Proven, hands-on experience using AI coding agents (e.g., Claude Code, Cursor, OpenAI Astra, or similar) to write production code. • Experience running multi-agent workflows, or "swarms," where several agents work in parallel on code generation, code review, and QA testing. • A track record of building your own agents, custom tools, or automated workflows to improve your productivity, such as review bots, test generators, or task runners. • Working knowledge of prompt and context engineering, tool/function calling, and protocols such as MCP (Model Context Protocol). • Sound judgment about where AI fits: you know when to trust agent output, how to check it, and how to keep AI-generated code secure, correct, and maintainable. • Portfolio or examples preferred: be ready to show agents, workflows, or projects you've built and how they changed the way you work. Nice to Have • Experience in logistics, supply chain, or transportation technology. • Background with EDI, carrier integrations, or high-volume transactional systems. WHY SHIPWELL? • Corporate headquarters in sunny Austin, TX. • An exciting growth opportunity at one of Austin's fastest-growing companies. • Comprehensive healthcare and dental insurance. • Engaging team-building events and fun office competitions. • Partial cell phone reimbursement. • An elite technology package, including a new MacBook Pro. • Competitive salary and career advancement opportunities. • A collaborative work environment where every voice is heard and valued. We are Shipwell, and we're not just about logistics. We're about innovation, transformation, and creating something extraordinary together. Shipwell is an equal opportunity employer, committed to fostering a diverse and inclusive workplace.
11/14/2026
Full time
Job Description ABOUT US Shipwell is revolutionizing the logistics industry, redefining how the supply chain operates after centuries of convention. By uniting thousands of shippers and carriers on a cutting-edge technology platform, we are the leading software solution in logistics. With a bold startup energy and recent $35M Series B funding, Shipwell offers an exceptional opportunity to shape the future of a company destined for the Fortune 500. Supported by top-tier Silicon Valley and Austin investors, we are dedicated to driving innovation and growth in the supply chain sector. STAFF SOFTWARE ENGINEER The Staff Software Engineer role is a rare chance to shape the core systems of a high-growth startup that's breaking barriers in its third record-setting year. We're looking for a senior technical leader who does their best work hands-on: someone who takes on the hardest problems, writes code that sets the standard for others, and helps whole teams get better. Shipwell is an AI-forward engineering organization. We expect our Staff Engineers to be experienced with AI-driven development and to lead in it, using agents to multiply what they and their teams can deliver. As a Staff Engineer, you'll own complex, high-impact parts of our logistics platform from design through production. You'll work closely with engineering, product, and architecture to turn technical strategy into working software, and you'll mentor engineers along the way. WHAT YOU WILL DO WHEN YOU GET HERE • Own the design, build, and ongoing health of critical systems and services on the Shipwell platform. • Write high-quality, well-tested, production code, and spend most of your time building. • Use AI agents and multi-agent workflows day to day to speed up code generation, code review, and QA testing, while keeping quality high. • Build and share custom agents, establishing / reviewing projects AI Harness, and workflows that boost your own productivity and your team's. • Help set how Shipwell engineers use AI, including best practices, guardrails, and ways to measure its impact on speed and quality. • Break large, unclear problems into clear technical plans that teams can deliver step by step. • Lead technical efforts that span several teams, keeping work aligned and unblocking delivery. Acting as gate keeper and reviewer for project code patterns to support squad decisions and tuning, or critical shared entities • Work with architecture and product leadership to turn platform strategy into practical designs. • Raise the bar for code quality, testing, observability, and operations through code reviews and by example. • Find and fix performance bottlenecks, reliability risks, and tech debt before they become problems. • Mentor senior and mid-level engineers, including coaching them on working well with AI tools. • Take part in incident response and root-cause analysis, and drive lasting fixes. WHAT YOU NEED TO HAVE • BS/MS/Ph.D. in Computer Science or a related field, or equivalent practical experience. • 8+ years of professional software development, including 2+ years at a senior or staff level leading technical projects. • A track record of designing, building, and running distributed systems at scale in production. • Deep expertise in at least one modern language (e.g., Python / Django). • Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB), including data modeling and query tuning. • Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure), containers, and CI/CD pipelines. • Experience with API design, event-driven architectures, and integrating with third-party systems. • Familiarity with agile development and DevOps practices, including owning what you ship in production with proven experience with GH actions or similar, for CI. • Excellent communication skills, with the ability to explain technical tradeoffs to engineers and non-technical partners. AI-Driven Development • Proven, hands-on experience using AI coding agents (e.g., Claude Code, Cursor, OpenAI Astra, or similar) to write production code. • Experience running multi-agent workflows, or "swarms," where several agents work in parallel on code generation, code review, and QA testing. • A track record of building your own agents, custom tools, or automated workflows to improve your productivity, such as review bots, test generators, or task runners. • Working knowledge of prompt and context engineering, tool/function calling, and protocols such as MCP (Model Context Protocol). • Sound judgment about where AI fits: you know when to trust agent output, how to check it, and how to keep AI-generated code secure, correct, and maintainable. • Portfolio or examples preferred: be ready to show agents, workflows, or projects you've built and how they changed the way you work. Nice to Have • Experience in logistics, supply chain, or transportation technology. • Background with EDI, carrier integrations, or high-volume transactional systems. WHY SHIPWELL? • Corporate headquarters in sunny Austin, TX. • An exciting growth opportunity at one of Austin's fastest-growing companies. • Comprehensive healthcare and dental insurance. • Engaging team-building events and fun office competitions. • Partial cell phone reimbursement. • An elite technology package, including a new MacBook Pro. • Competitive salary and career advancement opportunities. • A collaborative work environment where every voice is heard and valued. We are Shipwell, and we're not just about logistics. We're about innovation, transformation, and creating something extraordinary together. Shipwell is an equal opportunity employer, committed to fostering a diverse and inclusive workplace.
Job Description Candidate must already live in Chicago! No exceptions! Senior Full Stack Engineer Contract Position Position Overview We are seeking an experienced Senior Full Stack & Cloud-Native AI Engineer to transform an existing Data Insight proof of concept into a secure, scalable, production-ready enterprise application. The application enables users to explore reporting data, ask contextual follow-up questions, and gain actionable insights supported by verifiable source evidence. In this role, you will design and develop end-to-end application capabilities, including agentic AI workflows, full-stack user experiences, cloud-native services, and enterprise integrations. You will play a critical role in establishing the evaluation, testing, and monitoring frameworks required to ensure the accuracy, reliability, security, and continuous improvement of AI-powered functionality. The ideal candidate combines strong full-stack engineering expertise with hands-on experience developing production-grade AI applications, particularly agentic workflows, retrieval-augmented generation (RAG), and AI evaluation frameworks. Key Responsibilities Agentic AI Application Development Design, develop, and deploy production-grade agentic AI applications using large language models (LLMs), tool calling, structured outputs, and multi-step reasoning workflows. Build intelligent workflows that interpret user intent, maintain conversation context, orchestrate tools and APIs, and support human review when appropriate. Implement prompt engineering, context management, workflow orchestration, and error-handling strategies to improve application reliability and response quality. Integrate retrieval-augmented generation (RAG) capabilities to ground AI-generated responses in trusted enterprise data and source documents. F ull Stack & Cloud-Native Development Develop responsive, user-friendly web applications using Angular and modern front-end development practices. Design and implement scalable backend services and RESTful APIs using C# and .NET. Develop Python-based AI services and agent orchestration components. Integrate application services with existing enterprise reporting platforms, databases, authentication providers, and data-access systems. Build and deploy cloud-native solutions using Microsoft Azure and associated cloud services. Implement secure API integrations, asynchronous processing, and resilient service-to-service communication. AI Evaluation, Testing & Quality Engineering Own the design and implementation of comprehensive evaluation frameworks for AI-powered applications. Collaborate with healthcare domain experts and product owners to curate representative evaluation datasets and define scoring rubrics, quality metrics, and acceptance criteria. Develop automated evaluation processes to assess: Accuracy and relevance of AI-generated answers. Correctness and traceability of supporting evidence. Tool selection, execution, and workflow orchestration. Context retention and multi-turn conversation quality. End-to-end task completion and user experience. Handling of ambiguous, unsupported, and out-of-scope requests. Combine automated evaluation with human review to validate analytical accuracy and domain-specific correctness. Establish regression testing and baseline comparisons to identify quality degradation resulting from changes to models, prompts, datasets, or application code. Integrate AI evaluation suites, automated tests, and quality gates into CI/CD pipelines. Maintain version-controlled prompts, evaluation datasets, test configurations, and performance baselines. Reliability, Security & Production Operations Design resilient execution workflows incorporating timeouts, retries, cancellation, durable state management, and recovery mechanisms. Implement authentication, authorization, and data-access controls across APIs, AI agents, tools, and underlying data sources. Ensure sensitive healthcare and enterprise data is handled securely and in accordance with applicable organizational policies. Establish observability through application logging, distributed tracing, performance monitoring, and error reporting. Monitor production AI quality, response latency, operational costs, and failure rates. Analyze production feedback and failures, convert findings into reproducible test cases, and drive measurable improvements. Optimize application performance, scalability, reliability, and cloud operating costs. Data Engineering & Analytical Integrity Develop and optimize SQL queries, relational data models, and data-access services. Ensure analytical results are accurate, reproducible, and supported by traceable source data. Address data-quality challenges, including missing values, inconsistencies, numerical precision, and aggregation accuracy. Work closely with business stakeholders and healthcare domain experts to validate analytical findings and communicate uncertainty and system limitations. Required Qualifications 8+ years of professional software engineering experience delivering and supporting secure, scalable enterprise applications. Hands-on experience designing and developing agentic AI applications using LLMs, tool calling, structured outputs, prompt engineering, and multi-step workflows. Strong full-stack development experience with Angular, C#/.NET Web APIs, and Python. Practical experience building AI evaluation and quality pipelines, including evaluation datasets, scoring methodologies, automated regression testing, and human-in-the-loop validation. Demonstrated ability to use evaluation results and production feedback to improve AI application quality and reliability. Strong experience with SQL, relational database design, data modeling, and analytical data processing. Experience building and deploying cloud-native applications using Microsoft Azure. Hands-on experience with CI/CD pipelines, automated unit testing, integration testing, and end-to-end testing. Strong understanding of enterprise application security, authentication, authorization, secure API design, and data-access controls. Experience implementing observability, distributed tracing, asynchronous processing, and fault-tolerant application architectures. Strong analytical, problem-solving, communication, and collaboration skills. Ability to work independently and effectively collaborate with engineering teams, product owners, and business/domain experts. Preferred Qualifications Experience implementing retrieval-augmented generation (RAG), including document ingestion, embedding generation, vector search, retrieval strategies, and grounding evaluation. Experience with healthcare analytics, enterprise reporting platforms, or data-intensive applications involving sensitive information. Experience transitioning AI proof-of-concept solutions into production-grade enterprise applications. Familiarity with AI quality metrics, LLM-as-a-judge approaches, semantic evaluation, groundedness assessment, and human evaluation workflows. Experience optimizing AI application performance, model selection, inference latency, token consumption, and cloud operating costs. Familiarity with Azure AI services and enterprise AI application architecture.
11/14/2026
Full time
Job Description Candidate must already live in Chicago! No exceptions! Senior Full Stack Engineer Contract Position Position Overview We are seeking an experienced Senior Full Stack & Cloud-Native AI Engineer to transform an existing Data Insight proof of concept into a secure, scalable, production-ready enterprise application. The application enables users to explore reporting data, ask contextual follow-up questions, and gain actionable insights supported by verifiable source evidence. In this role, you will design and develop end-to-end application capabilities, including agentic AI workflows, full-stack user experiences, cloud-native services, and enterprise integrations. You will play a critical role in establishing the evaluation, testing, and monitoring frameworks required to ensure the accuracy, reliability, security, and continuous improvement of AI-powered functionality. The ideal candidate combines strong full-stack engineering expertise with hands-on experience developing production-grade AI applications, particularly agentic workflows, retrieval-augmented generation (RAG), and AI evaluation frameworks. Key Responsibilities Agentic AI Application Development Design, develop, and deploy production-grade agentic AI applications using large language models (LLMs), tool calling, structured outputs, and multi-step reasoning workflows. Build intelligent workflows that interpret user intent, maintain conversation context, orchestrate tools and APIs, and support human review when appropriate. Implement prompt engineering, context management, workflow orchestration, and error-handling strategies to improve application reliability and response quality. Integrate retrieval-augmented generation (RAG) capabilities to ground AI-generated responses in trusted enterprise data and source documents. F ull Stack & Cloud-Native Development Develop responsive, user-friendly web applications using Angular and modern front-end development practices. Design and implement scalable backend services and RESTful APIs using C# and .NET. Develop Python-based AI services and agent orchestration components. Integrate application services with existing enterprise reporting platforms, databases, authentication providers, and data-access systems. Build and deploy cloud-native solutions using Microsoft Azure and associated cloud services. Implement secure API integrations, asynchronous processing, and resilient service-to-service communication. AI Evaluation, Testing & Quality Engineering Own the design and implementation of comprehensive evaluation frameworks for AI-powered applications. Collaborate with healthcare domain experts and product owners to curate representative evaluation datasets and define scoring rubrics, quality metrics, and acceptance criteria. Develop automated evaluation processes to assess: Accuracy and relevance of AI-generated answers. Correctness and traceability of supporting evidence. Tool selection, execution, and workflow orchestration. Context retention and multi-turn conversation quality. End-to-end task completion and user experience. Handling of ambiguous, unsupported, and out-of-scope requests. Combine automated evaluation with human review to validate analytical accuracy and domain-specific correctness. Establish regression testing and baseline comparisons to identify quality degradation resulting from changes to models, prompts, datasets, or application code. Integrate AI evaluation suites, automated tests, and quality gates into CI/CD pipelines. Maintain version-controlled prompts, evaluation datasets, test configurations, and performance baselines. Reliability, Security & Production Operations Design resilient execution workflows incorporating timeouts, retries, cancellation, durable state management, and recovery mechanisms. Implement authentication, authorization, and data-access controls across APIs, AI agents, tools, and underlying data sources. Ensure sensitive healthcare and enterprise data is handled securely and in accordance with applicable organizational policies. Establish observability through application logging, distributed tracing, performance monitoring, and error reporting. Monitor production AI quality, response latency, operational costs, and failure rates. Analyze production feedback and failures, convert findings into reproducible test cases, and drive measurable improvements. Optimize application performance, scalability, reliability, and cloud operating costs. Data Engineering & Analytical Integrity Develop and optimize SQL queries, relational data models, and data-access services. Ensure analytical results are accurate, reproducible, and supported by traceable source data. Address data-quality challenges, including missing values, inconsistencies, numerical precision, and aggregation accuracy. Work closely with business stakeholders and healthcare domain experts to validate analytical findings and communicate uncertainty and system limitations. Required Qualifications 8+ years of professional software engineering experience delivering and supporting secure, scalable enterprise applications. Hands-on experience designing and developing agentic AI applications using LLMs, tool calling, structured outputs, prompt engineering, and multi-step workflows. Strong full-stack development experience with Angular, C#/.NET Web APIs, and Python. Practical experience building AI evaluation and quality pipelines, including evaluation datasets, scoring methodologies, automated regression testing, and human-in-the-loop validation. Demonstrated ability to use evaluation results and production feedback to improve AI application quality and reliability. Strong experience with SQL, relational database design, data modeling, and analytical data processing. Experience building and deploying cloud-native applications using Microsoft Azure. Hands-on experience with CI/CD pipelines, automated unit testing, integration testing, and end-to-end testing. Strong understanding of enterprise application security, authentication, authorization, secure API design, and data-access controls. Experience implementing observability, distributed tracing, asynchronous processing, and fault-tolerant application architectures. Strong analytical, problem-solving, communication, and collaboration skills. Ability to work independently and effectively collaborate with engineering teams, product owners, and business/domain experts. Preferred Qualifications Experience implementing retrieval-augmented generation (RAG), including document ingestion, embedding generation, vector search, retrieval strategies, and grounding evaluation. Experience with healthcare analytics, enterprise reporting platforms, or data-intensive applications involving sensitive information. Experience transitioning AI proof-of-concept solutions into production-grade enterprise applications. Familiarity with AI quality metrics, LLM-as-a-judge approaches, semantic evaluation, groundedness assessment, and human evaluation workflows. Experience optimizing AI application performance, model selection, inference latency, token consumption, and cloud operating costs. Familiarity with Azure AI services and enterprise AI application architecture.
