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Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.

Job Description JOB SUMMARY: The Lead Database Engineer and Administrator serves as the high-level technical authority for software engineering on a Tech Refresh contract based in Colorado Springs, Colorado. This role provides deep technical expertise in enterprise Oracle database architecture, development methodologies, system integration, and emerging technologies. The Senior Principal Software Engineer leads complex database design initiatives, advises leadership on technical strategy, and ensures engineering solutions meet mission, security, scalability, and performance requirements. The candidate collaborates closely with program leadership, architects, engineers, cybersecurity teams, and stakeholders to design and implement advanced software solutions supporting enterprise systems, cloud environments, and mission-critical platforms. This project delivers a mission-assured technical refresh of the CCIC2S Oracle database and RHEL operating environments, upgrading legacy systems to Oracle 19c and RHEL 9.7 while preserving full operational continuity. It includes comprehensive engineering, integration, cybersecurity, testing, and deployment activities to ensure zero data loss, improved performance, strengthened security, and seamless compatibility across all CCIC2S mission systems. Location will be north Colorado Springs initially and future work at Chidlaw and Peterson AFB occasionally. SUMMARY OF ESSENTIAL JOB FUNCTIONS: Technical lead experience to guide the database team, able establish priorities for tasking, and proactively address risks to achieve successful project outcomes. Serve as the primary subject matter expert for software engineering practices, frameworks, and architecture across programs and projects. Lead the design and development of Oracle Database Upgrade solution for a complex enterprise. Provide significant input into the technical solution design and architect the upgrade path for Oracle, including compatibility analysis, data migration strategies, and performance tuning. Provide input into the design for the RHEL migration plan, covering kernel compatibility, package updates, and security hardening. Be responsible for analyzing, creating, manipulating, and organizing database systems. Modify Oracle database schemas, static data load, and program documentation. Consolidate customer data to make it easily accessible and readable to users throughout their community. Work closely with the development team to update database storage architecture, troubleshoot technical issues, and create visual layouts to display data. Be responsible for developing strategic procedures and upgrades, improving database infrastructures, and managing DB systems configuration. Be handling a broad range of software and other programming tasks to ensure that their systems integrations are functional Be defining integration strategies and methods and then planning them in accordance with established deadlines and time schedules. Full life-cycle development including requirements analysis, architecture and design, coding, testing, integration, performance analysis and Data Migration Ensures software standards are met. Establish and maintain software development standards, coding guidelines, and best practices. Evaluate and recommend new technologies, tools, and frameworks to improve system capabilities and development efficiency. Support program managers and leadership with technical planning, system modernization strategies, and risk mitigation. Translate mission or business requirements into technical solutions and system designs. REQUIRED SKILLS AND EXPERIENCE: Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical field. 10+ years of software engineering experience including enterprise database development, design, debug, and integration of various technologies Active DoD Secret clearance at the time of application Certification Requirements: DoD 8570 IAT Level II and any Database Certification Requires a strong background in Oracle database development and Linux Experience with integration of COTS/GOTS/FOSS hardware and software into existing infrastructures. Experience with Oracle RMAN, Data Pump, GoldenGate, and Oracle Enterprise Manager. Experience of RHEL system administration, SELinux, systemd, and kernel tuning. Experience with Scripting/automation (Bash, Python, PowerShell). Knowledge of database performance tuning, backup/recovery, and disaster recovery concepts. Knowledge of the technology industry and the latest trends, as well as a strong command of programming languages or system codes. Familiarity with containerization (Docker) and virtualization (KVM/VMware) is a plus Be able to complete documentation and instructions for customers. Be able to properly evaluate sources of information to determine possible limitations in reliability or usability Strong verbal and written communication skills. Significant experience in installing, configuring, scripting, developing, testing and troubleshooting enterprise databases DESIRED SKILLS Knowledgeable of Java, VMWare Suite, Ansible Knowledge of storage, networking, and cyber to include STIGs. Ability to work independently and collaboratively with other teams. Significant relevant experience in supporting the sustainment of NISSC mission systems/subsystems. Experience with other relevant missions surrounding the NORAD-NORTHCOM, Air and Space missile warning. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions. While performing the duties of this job, the employee is regularly required to: Remain in a stationary position for extended periods of time. Operate a computer, keyboard, and other office equipment using hands and fingers. Communicate effectively in person, over the phone, and through electronic means. Occasionally move about the office to access files, office equipment, and meeting spaces. Lift and/or move up to 15 pounds as needed. Maintain specific vision abilities, including close vision and the ability to adjust focus. The Perks Comprehensive medical, dental and vision plans for you and your dependents 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability Competitive Compensation Training and development programs Major offices stocked with snacks and beverages Collaborative and cool culture Work-life balance and generous paid time off

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 RESPONSIBILITIES: Design and optimize enterprise virtualization, compute and storage platforms, including VMware Manage physical servers, storage systems, SAN fabrics, zoning, multipathing, and replication Maintain secure, stable, highly available infrastructure aligned with standards and vendor practices Plan platform lifecycles, capacity, performance, upgrades, hardware refreshes, and technology roadmaps Develop and test data protection, business continuity, replication, and disaster recovery solutions Troubleshoot complex virtualization, storage, compute, and performance issues Evaluate and implement technologies that improve reliability, performance, security, and efficiency Document and follow operational procedures, security controls, and change management practices Lead technical support and collaborate with infrastructure teams, vendors, and strategic partners Support infrastructure planning, including operating and capital budget forecasts QUALIFICATIONS: Required Bachelor's degree in Computer Science, Management Information Systems, Computer Information Systems, or a related field, with relevant enterprise infrastructure experience; or an equivalent combination of education and progressively responsible experience. 7+ years of experience designing, deploying, supporting, and engineering enterprise infrastructure environments. Hands-on experience administering VMware enterprise virtualization technologies, including VCF, vCenter, NSX, SRM, vSphere Replication, and the Aria operations, logging, and network monitoring tools. Experience administering enterprise physical and virtual server environments, storage platforms, and SANs, including performance monitoring, capacity planning, replication, and disaster recovery. Knowledge of storage networking, including Fibre Channel, iSCSI, multipathing, zoning, and replication. Proven ability to analyze and solve complex technical problems in large-scale enterprise environments. Demonstrated initiative, project leadership, and the ability to collaborate and build productive relationships. Ability to learn new technologies and adapt to changing business needs. Ability to provide after-hours support and participate in maintenance or upgrade activities, including nights, weekends, and holidays as needed. Applicants must not now, or at any time in the future, require sponsorship for a work visa. Applicants must be authorized to work in the United States for any employer. Preferred Experience supporting enterprise hypervisors beyond VMware. Experience administering Microsoft Windows Server and Red Hat Enterprise Linux. Experience administering enterprise storage, SAN, and data protection platforms, including NetApp, Dell PowerStore or Unity, IBM Storage, Cisco MDS, Rubrik, IBM Storage Protect, or similar technologies. Experience designing storage replication, business continuity, and disaster recovery solutions integrated with VMware Cloud Foundation and vSphere. Knowledge of enterprise infrastructure architecture, networking fundamentals, and TCP/IP. Experience supporting highly visible, mission-critical production environments.

Job Description Azure Cloud Engineer Chicago, IL 60601 Hybrid (3 Days Onsite) 6+ Months Contract Locals Only! In-Person Interview Required! Skills: Azure IaaS/PaaS, Cloud Infrastructure, Networking, Security, Containers, Cloud Architecture & Migration.

Job Description Company Description TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers to improve quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs. Job Description TechSur is seeking a Senior Cloud Engineer who is fluent in both Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI). You will be the program's go-to engineer for both platforms, splitting your time roughly evenly between them. You will build GCP and OCI foundations that match the same enterprise standards the team applies on AWS and Azure. On GCP, you will establish the organization and folder hierarchy, Shared VPC networking, and organization policies. On OCI, you will build tenancies, compartments, VCN/DRG networking, and Security Zones. On both, you will automate with Infrastructure-as-Code, integrate with the customer's identity, monitoring, and service management tools, and support the platforms in production. Key Responsibilities Design and deploy GCP landing zones: resource hierarchy (organization, folders, projects), Shared VPC hub-and-spoke networking, Cloud Interconnect or HA VPN, and Cloud DNS. Design and deploy OCI landing zones: tenancy and compartment structure, VCN and Dynamic Routing Gateway (DRG) hub-and-spoke networking, FastConnect or IPsec VPN, and DNS. Build and maintain Terraform modules (including OCI Resource Manager) and GitOps workflows for production, integration, development, and sandbox environments on both platforms. Configure IAM and federation with the customer's enterprise identity provider using SAML 2.0 and OIDC, aligned with Zero Trust principles. Enforce guardrails with GCP Organization Policy and Security Command Center, and with OCI Cloud Guard and Security Zones, against NIST SP 800-53 Rev 5 and customer security standards. Apply the enterprise tagging and labeling strategy for asset management and chargeback/showback using GCP Billing Reports and OCI Cost Analysis. Monitor environments with Google Cloud Operations Suite and OCI Monitoring, integrated with Datadog, Splunk, and ServiceNow. Perform patching, routine maintenance, capacity planning, and rightsizing; troubleshoot and resolve incidents as part of 24/7 operations support. Design and test high availability, backup, and disaster recovery on both platforms. Write runbooks and SOPs, supply ATO evidence, and transfer knowledge to customer operations staff. Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. At least 9 years of experience deploying and configuring cloud environments. Hands-on production experience with both Google Cloud Platform and Oracle Cloud Infrastructure. Production experience with Infrastructure-as-Code using Terraform on GCP and OCI. Experience with cloud network design, including private connectivity (Cloud Interconnect, FastConnect, or IPsec VPN), routing, and DNS. Experience implementing IAM and single sign-on federation (SAML 2.0/OIDC). Working knowledge of NIST SP 800-53 security controls in a federal environment. Ability to obtain and maintain the background investigation required by the federal customer. Preferred Qualifications Google Cloud Certified Professional Cloud Architect or Professional Cloud Security Engineer. Oracle Cloud Infrastructure Architect Professional or OCI Multicloud Architect Professional. Experience hosting Oracle Database workloads on OCI (Autonomous Database, Exadata Cloud Service, Base Database Service). Experience with GCP Assured Workloads, OCI US Government regions, or FedRAMP Moderate/High environments. Experience with GCP Cloud Build/Cloud Deploy or OCI DevOps pipelines. Working knowledge of AWS or Azure. Prior support of a civilian federal agency.

Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.

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 Role: Enterprise DevOps Engineer Location: Trenton, NJ (Hybrid - 3 Days Onsite / 2 Days Remote) Employment Type: Contract Duration: Long Term Interview: Final Round - Face-to-Face Note: Local candidates only. Job Description: Seeking an experienced Enterprise DevOps Engineer to architect, automate, and govern enterprise CI/CD pipelines across Salesforce, AWS, and Snowflake environments. The ideal candidate will have strong hands-on experience with Copado, AWS DevOps services, GitHub Actions, infrastructure as code, and automated release management. Key Responsibilities: Design and manage enterprise CI/CD pipelines across Salesforce, AWS, and Snowflake. Build and maintain Salesforce deployment workflows using Copado , including metadata validation and release management. Develop serverless applications and backend microservices using Python or Node.js, AWS Lambda, API Gateway, SQS, SNS, and EventBridge. Build event-driven integrations and secure data ingestion workflows connecting Salesforce, AWS, and Snowflake. Provision and manage cloud infrastructure using CloudFormation and Terraform . Establish Git/GitHub branching strategies, pull request workflows, and release governance. Integrate automated testing, security scanning, secrets management, and monitoring into CI/CD pipelines. Support Snowflake schema migrations, sandbox management, data masking, and deployment automation. Maintain technical documentation, deployment architecture diagrams, and operational runbooks. Required Skills & Experience: Bachelor's or Master's degree in Computer Science, IT, or a related field. 7+ years of enterprise version control and release engineering experience with Git, GitHub, and branching strategies . 4+ years of Salesforce CI/CD architecture and Copado release management . 5+ years of AWS development and infrastructure experience, including Lambda, S3, IAM, CloudFormation, and Terraform . 5+ years of scripting and pipeline automation using Python, Bash, and GitHub Actions . Preferred Skills: Salesforce DX (SFDX) and Metadata API. Snowflake deployment automation and schema migrations. AWS Certified DevOps Engineer or equivalent AWS certification. LinkedIn and Salesforce Trailblazer profiles, if available.

Job Description We're Hiring: Enterprise Security Architect Location: Brandon, FL 33510 Work Model: Hybrid - 4 days onsite and 1 day remote per week Duration: 12 Months (Contract) Position Overview We are seeking an experienced Enterprise Security Architect to support the Advance Distribution Infrastructure (ADI) program. This role will focus on designing, evaluating, and governing cybersecurity architectures and controls across IT, OT, cloud, and hybrid environments. The ideal candidate will have a strong infrastructure security architecture background, experience with cybersecurity frameworks, and the ability to assess security gaps, evaluate technical risks, and recommend solutions that align with enterprise security standards and regulatory requirements. Please note: This is primarily an architecture, assessment, advisory, and governance role rather than a hands-on security tools implementation position. Key Responsibilities Serve as the primary cybersecurity liaison between business units, project teams, technology teams, vendors, and enterprise architecture. Design and evaluate security architectures and technical controls across IT, OT, cloud, and hybrid environments. Develop and maintain cybersecurity standards, reference architectures, security requirements, and implementation guidelines. Ensure alignment with established cybersecurity policies, risk management practices, and regulatory frameworks. Conduct security architecture reviews, technical risk assessments, vulnerability assessments, threat assessments, and compliance evaluations. Identify security gaps, architectural weaknesses, and vulnerabilities; recommend remediation strategies based on risk and business impact. Assess OT devices, sensors, connectivity, encryption, data flows, integrations, and vendor solutions against established security standards. Provide consultative guidance on security controls, approved technologies, architectural patterns, and compliance requirements. Collaborate with internal technical teams, vendors, governance, risk, and compliance stakeholders to address security concerns. Recommend solutions to reduce cyber risk and strengthen security across critical infrastructure initiatives. Required Qualifications Minimum 7 years of practical technical experience in Information Security . Experience implementing or applying security frameworks, including NIST Cybersecurity Framework (CSF) and ISO 27000. Strong background in enterprise security architecture and infrastructure security. Knowledge of cybersecurity controls, security assessments, risk management, and compliance requirements. Relevant cybersecurity certification, such as CISSP, CEH, CSSA, GIAC , or an equivalent security certification. Strong analytical, communication, documentation, and stakeholder management skills. Preferred Qualifications Experience securing both IT and Operational Technology (OT) environments . Familiarity with critical infrastructure security, industrial devices, sensor connectivity, encryption, and data integrations. Experience evaluating vendor technologies and solution architectures against enterprise security standards. Knowledge of regulatory and security frameworks, including: NIST Cybersecurity Framework (CSF) NERC CIP TSA Security Directives DFARS SOX PCI Ability to translate complex security requirements into practical architectural recommendations. Work Location Requirements Onsite at the Lake Kathy Office in Brandon, Florida, 4 days per week . Remote work 1 day per week . Occasional visits to the BOC may be required. Interested? If you have strong enterprise security architecture experience, particularly across IT/OT infrastructure and cybersecurity compliance, we'd love to connect!

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:

Job Description Please note that all applicants must be US Citizens or Green Card holders and no C2C candidates will be accepted. Summary: Tier One Technologies has an immediate need for a Google Cloud Architect for our US Government client. This hybrid contract-to-hire position will be available to start in Raleigh, NC or Eagan, MN. Must have an active GCP Certification. Some occasional travel may be required to support program needs. SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT. Requirements: Design & Architect - Build cloud solutions (IaaS, PaaS, SaaS) aligned with a Microservices/SOA framework; produce implementation-ready documentation including bill of materials and cost estimates. Define Standards - Develop and publish cloud policies, design patterns, and reference architectures for consistent, repeatable solutions. Lead Cloud Adoption - Champion cultural change, build roadmaps, and communicate cloud strategies to stakeholders at all levels. Document Solutions - Prepare solution descriptions, technical approach, assumptions, risk assessments, and mitigation plans. Govern Architecture - Ensure all solutions comply with enterprise technology standards, security requirements, and industry best practices. Enable Teams - Identify skill gaps, develop training materials, and deliver technical guidance to engineers and management. Manage Vendors - Interface with vendors to ensure standard architectures are followed across projects. AI Integration - Leverage AI to accelerate on-prem-to-GCP migration and automate systems, applications, and workflows to improve efficiency and decision-making. Automate & Integrate - Automate complex tasks and integrate cloud services with on-premise and third-party platforms. Troubleshoot - Act as an IT SWAT team member for high-priority problem resolution across design, development, and operations. Communicate - Translate complex technical concepts for both technical teams and executive leadership; produce briefings, technical documentation, and architecture diagrams. Qualifications: A degree from an accredited College/University in the applicable field of services is required. If the degree is not in the applicable field, then 4 additional years of related experience is required. 13+ years of experience in Information Technology. Deep understanding of systems development and architecture in cloud environments, including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Proven ability to integrate Google Cloud Platform (GCP) with SaaS and on-premises platforms, including Microsoft, IBM, Oracle, SAP, and Linux environments. Active Google Cloud Platform (GCP) certification. Hands-on experience designing, deploying, and scaling enterprise solutions on Google Cloud. Current knowledge of artificial intelligence (AI) and industry trends, with experience applying modern technologies and practices to accelerate software delivery, including Agile, Test-Driven Development (TDD), and Continuous Integration/Continuous Delivery (CI/CD). Strong understanding of enterprise infrastructure, including networking, compute, storage, virtualization, high availability, and monitoring. Excellent oral and written communication skills, with the ability to develop and present management briefings, provide technical guidance, and prepare and present recommendations, reports, and other technical documentation. Must be a US Citizen or Permanent US Resident (Green Card Holder). Must be able to obtain Public Trust Clearance. Be able to pass a drug screening, criminal history, and credit checks. Must have lived in the United States for the past 5 years. Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)

Job Description Role: Solution / Application Architect (.net/Reactjs, Nodejs, GenAI, CI/CD) Location: Louisville, Kentucky (Onsite) • Hands on Microsoft Full Stack Technologies • Microservices, Cloud Native Architectures, serverless architectures • Single Page Architecture (SPA) and frameworks like React JS, Node JS. • Good understanding of AI Adoption: Drive the adoption of AI technologies in the Software Development Lifecycle (SDLC), helping teams to automate processes, improve efficiency, integrate Gen AI, Agentic AI, and cutting-edge. • Deep understanding of Architecture(s), Frameworks and Design Patterns. • Experience on solution and execution of IaaS, PaaS, SaaS based deployments etc. in multi Cloud environment - AWS, Azure, GCP • Working knowledge in Cloud resources - Storage, Networking, Security, Identity, Management. • Deep understanding of Data Architecture, Designing and Implementing Databases • Experience in Enterprise Integrations, API Management solutions • CI/CD, DevOps and agile delivery • App security knowledge • Enterprise Architecture Frameworks - TOGAF • Excellent Communication skills

Job Description Position Summary Seeking an experienced MuleSoft API Developer to design, develop, and support enterprise API and integration solutions. This role will partner with architecture, engineering, and business teams to deliver secure, scalable, and reliable integrations supporting critical banking platforms. opportunity to work on enterprise-scale API modernization and digital banking initiatives within a fast-paced and highly collaborative engineering organization . Key Responsibilities Design and develop APIs and integrations using MuleSoft Anypoint Platform. Build and support RESTful APIs and enterprise integration solutions. Develop integrations across cloud, on-premise, and third-party platforms. Implement API security, monitoring, governance, and performance best practices. Troubleshoot and resolve production issues. Participate in support and on-call activities for critical applications. Collaborate with architects, product owners, and development teams to deliver high-quality solutions. Required Qualifications 10+ years of software engineering experience. 5+ years of MuleSoft development experience. Mule 4, Anypoint Platform, API Manager,Runtime Manager,Exchange, CloudHub Experience developing REST APIs and integration services. Strong understanding of JSON, XML, RAML, and OpenAPI. Experience with OAuth 2.0, JWT, TLS, and API security standards. Experience with Git, CI/CD pipelines, and automated deployments. Strong production support and troubleshooting skills. Preferred Qualifications MuleSoft certifications preferred. Monitoring & Operational Experience Experience with one or more of the following: Monitoring tools Support for 24x7 mission-critical applications Education Required: Bachelor's degree in computer science, Information Technology, Engineering, or equivalent practical experience. About AgreeYa AgreeYa is a global systems integrator delivering competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 2,200 staff across offices. AgreeYa works with 500+ organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology, Public sector, Pharma & Biotech, and others. Please visit us at for more information. AgreeYa is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, veteran status or other protected characteristics. Visit our website to learn about our Career & Culture.

Job Description Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.

Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.

Job Description NO SPONSORSHIP - NO OPT Associate Principal, Software Engineering: Java - 3 years experience Salary: $88k-$125k+ up to 10% bonus Chicago, IL - hybrid 3 days onsite Need a 3-year sharp backend java developer with springboot microservices. You will need multithreading and AWS to develop and design automated testing tools. Familiar with kafka. Sharp young go-getter. BS degree required. Qualifications: 3+ years of professional Java software engineering experience with production systems, including distributed systems and backend microservice development. Experience with distributed computing frameworks such as Kafka Streaming and message queues, with an understanding of scale, resilience and fault tolerance. Solid experience in API development, SQL databases, and data storage such as S3. Working knowledge of CI/CD, DevOps tools, Git, and test automation frameworks, with experience contributing to pipelines and release processes. Solid understanding of OOP, microservices architecture, REST APIs, and Java 8+ features, with the ability to apply design patterns and make sound technical decisions. Experience working within Agile delivery models, including sprint planning, code reviews, backlog refinement, and cross-team communication. Demonstrate intellectual curiosity, a strong desire to learn fast, and the ability to support others and help the team adopt new technologies. Technical Skills: Strong Java programming skills including object-oriented design, concurrency and multithreading, performance tuning, and hands-on experience with Spring Boot. Working knowledge of Kafka Hands-on experience with AWS services, especially S3, and an understanding of cloud-based design, security and cost considerations. Ability to write and optimize analytical SQL queries for relational database systems such as PostgreSQL. Proficient with Git workflows including branching strategies, pull requests, and code review; hands-on experience building and maintaining CI/CD pipelines with Jenkins or similar orchestration platforms. Practical experience with AI-assisted development tools such as Claude Code for code generation, refactoring, unit tests, and documentation, and the judgment to apply them in a disciplined engineering environment. BS Degree

Job Description Lead DevOps Engineer Job Description We are seeking an experienced Lead DevOps Engineer to drive the architecture, development, and implementation of enterprise cloud infrastructure and automation solutions. This hands-on leadership role will focus on AWS cloud environments, Infrastructure as Code, CI/CD pipelines, and cloud-native technologies while partnering with product, engineering, and client stakeholders to deliver scalable, secure, and reliable solutions. Key Responsibilities Lead the design and implementation of DevOps strategies, cloud architecture, and infrastructure automation. Build and optimize CI/CD pipelines and automated workflows using Terraform, Jenkins, GitHub Actions, and related tools. Architect and deploy cloud-native applications and infrastructure within AWS environments. Establish best practices for cloud security, infrastructure management, application deployment, and operational reliability. Collaborate with engineering and product teams to solve complex technical challenges and drive delivery. Provide technical leadership and mentorship while evaluating and introducing new cloud technologies. Communicate architectural decisions and technical solutions to both technical teams and client stakeholders. Required Qualifications 12+ years of experience in DevOps, cloud infrastructure, and automation, including 5+ years in a senior or technical leadership role. Strong hands-on expertise with AWS cloud services and cloud-native architecture. Advanced experience with Terraform and Infrastructure as Code. Expertise in CI/CD tools such as GitHub Actions and Jenkins. Experience with Docker and Kubernetes, along with cloud deployment and orchestration practices. Strong understanding of cloud security, software architecture, and Agile development methodologies. Proficiency in at least one programming language, preferably Python. Excellent communication, problem-solving, and technical leadership skills. Preferred Qualifications Experience with AWS Lambda, serverless architecture, CloudFormation, CDK, and Helm. Knowledge of AWS IAM, HashiCorp Vault, CyberArk, and cloud security practices. Familiarity with AWS database services, including Aurora and DynamoDB. Exposure to AI infrastructure and services such as AWS Bedrock, AgentCore, LLM gateways, and LangChain. Experience with AI coding assistants such as Claude Code, Codex, or Cursor and AI-driven software development practices.