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Job Description Solution Architect On Site, Woodlawn, MD) Schedule: 5 days/week, fully onsite Clearance: Public Trust eligibility required Employment: Contract About the Role We are seeking a Solution Architect with deep experience in IBM mainframe environments and modern AWS/Java/Spring Boot architecture. This role supports modernization and integration efforts within the Administration's technology ecosystem. Key Responsibilities - Architect hybrid mainframe + cloud solutions using IBM z/OS, COBOL, PL/I, JCL, CICS, DB2, and AWS services. - Design modernization pathways for legacy workloads using Java, Spring Boot, microservices, and AWS Mainframe Modernization. - Develop integration patterns between mainframe systems and cloud-native applications (REST APIs, event-driven services). - Lead solution design sessions with administrations stakeholders, engineering teams, and modernization partners. - Translate legacy business logic into scalable, secure, cloud-ready architectures. - Ensure compliance with federal security, audit, and federal IT standards. - Support Agile delivery across multi-year modernization initiatives. Required Skills & Experience - 10+ years working with IBM mainframe technologies (COBOL, PL/I, JCL, CICS, DB2). - 5+ years architecting AWS solutions (Lambda, S3, EC2, RDS PostgreSQL, IAM, KMS). - Strong background in Java, Spring, Spring Boot, and enterprise integration. - Experience with AWS Mainframe Modernization or equivalent migration frameworks. - Ability to design strangler fig migration patterns and coexistence architectures. - Strong communication skills and ability to work directly with federal stakeholders. - Must be able to work on site in Woodlawn, MD Monday-Friday. Preferred Qualifications - Prior experience federal entitlement programs. - Experience with mainframe-to-cloud data migration (VSAM, DB2 AWS RDS/S3). - Familiarity with SSA's environment and modernization roadmap. - Experience with enterprise print systems (EPA) modernization. - Background in Agile delivery within federal environments.

Job Description Job Description Senior Cloud Security Specialist 100% ONSITE in Washington DC Per Federal contract U.S. Citizenship Required Must be able to pass enhanced FBI background screening (criminal, financial and finger printing) for Public Trust clearance Performance Period: June 2026- Dec , with the possibility of multi-year extension based on performance W-2 or C2C Deadline to apply May 5th PROJECT DESCRIPTION: The IT Security Engineering team is seeking a Senior Cloud Security Specialist with deep expertise in AWS cloud services, cloud-native security tools and services. BACKGROUND: We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division. This team is responsible for the strategy, design, deployment, and maintenance of effective security solutions in cloud, local, and hybrid environments. REQUIREMENTS: The candidate shall also demonstrate the knowledge and experience below: Required Experience: Minimum 5 years hands-on AWS security experience Personnel Qualifications AWS Certified Security - Specialty (strongly preferred) AWS Certified Solutions Architect - Professional or Associate Demonstrated experience implementing secure, scalable AWS cloud architectures following industry best security practices and security frameworks. Demonstrated federal experience and comprehensive knowledge in adopting and implementing federal cybersecurity requirements, including but not limited to the NIST Cybersecurity Framework, OMB Memorandum M-22-09, NIST SP 800-53 Possess deep analytical, problem-solving, and troubleshooting experience, to independently resolve complex security challenges. Proven ability to provide technical security consultation and advisory services with a proactive approach to identifying potential issues, raising questions, and engaging in open dialogue with team members and stakeholders to ensure security objectives are met. Strong understanding of security concepts and technologies related to Identity and Access Management (IAM), security engineering, network security design, security operations, security architecture, general engineering processes, cloud security, data loss protection, zero trust, DevSecOps and vulnerability management. Technical skills in AWS cloud security, security engineering, DevSecOps, scripting, and Infrastructure-as-code (IaC) Self-motivated and able to work independently Strong attention to detail The Consultant shall deliver, but not limited to, the following: Conduct regular security reviews of cloud infrastructure deployed by engineering teams Evaluate infrastructure-as-code against security standards Review and validate compliance with security policies and best practices Assess adherence to AWS Well-Architected Framework security pillar Identify and document security misconfigurations and non-compliant controls Develop and maintain security posture dashboards Create or update security configuration guides and playbooks Offer technical consultation to engineering teams on secure implementation Implement AWS security controls and services to ensure proper security hardening and other security engineering tasks. Develop and update AWS security configuration standards Conduct security training sessions for engineering teams Present findings and recommendations in team meetings Identify opportunities to automate security assessments Recommend security tooling improvements PLACE OF PERFORMANCE: On-site at FRB locations, Washington, DC CITIZEN STATUS: U.S. Citizenship is required per Federal Contract INTERVIEW: Selected candidates will participate in a phone screening. Those that pass the phone screening may be invited to an in-person interview. The use of video conference tools (e.g., MS Teams or WebEx) can be used in accordance with agency guidelines. Ref:

Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: July 2nd Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

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

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Mobile Applications Developer II Expert Technical Solutions is seeking a skilled Mobile Applications Developer II for one of our premier, industry leading clients in Indianapolis, IN 46256 . This person will responsible for the development and maintenance of our client's suite of mobile applications. They will collaborate with cross-functional teams to design, develop, and deliver high-quality mobile applications. The candidate should have experience in developing applications for iOS and/or Android platforms. They should be able to work independently and as part of a team. This is a Permanent (Hybrid - 4 days onsite in Indianapolis, IN 46256 ) opportunity offering excellent pay, benefits, and growth potential. Primary Duties and Responsibilities: Design and develop mobile applications for the Android and/or iOS platforms Develop and improve software architecture, testing strategies, developer tooling, and UX for our mobile applications Collaborate with cross-functional teams to define, design, and ship new features Work with product managers and QA to support validation activities Ensure the performance, quality, and responsiveness of applications Participate in code reviews to maintain code quality Continuously discover, evaluate, and implement new technologies to maximize development efficiency Participate in the development of technical documentation Works under some supervision of department leadership with independence on projects in scope. Other duties as assigned Required Qualifications: Bachelor's degree in Computer Science or a related field, or equivalent training and experience An innovative solution-first spirit and an ability to think creatively 3+ years of experience in mobile apps development Proficient in Swift and/or Kotlin Experience with modern mobile app development frameworks (e.g., SwiftUI, Jetpack Compose) Understanding of software development methodologies, including Agile and Scrum Experience with version control systems such as Git Excellent problem-solving skills Strong communication and collaboration skills Strong critical thinking skills, and a keen attention to detail Ability to work independently and as part of a cross-functional team (e.g., product managers, engineers, business teams) and external subject matter experts Demonstrated ability to work well with others in a team environment Experience with LLM coding agents Preferred Qualifications: Experience with Kotlin Multiplatform or other cross-platform mobile app development frameworks Experience with cloud technologies and services such as AWS, Azure, or Firebase Experience with IOT and smart connected products (Bluetooth and Wi-Fi APIs) Experience with mobile app security best practices Experience with mobile app analytics Experience with testing frameworks HVAC / Water Heating industry experience

Job Description Job Description Indent : SF_OP_208618-1 Role : Data Architect Location : Purchase, NY (Hybrid) Rate: $75 to $80/hr The successful candidate will establish the architectural vision for modernizing data platforms across hybrid cloud and on-premises environments, supporting both high-volume batch processing and low-latency, real-time workloads. This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Client data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence. Role: • Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership. • Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions. • Define and evolve Client's global data architecture strategy across hybrid cloud and on-premises environments. • Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements. • Champion Data Mesh principles, enabling data-as-a-product capabilities, federated ownership, governance, and self-service access. • Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board. • Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP. • Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms. • Enable both real time and batch analytics use cases to support high availability, mission critical workloads. • Evaluate and incorporate emerging technologies, including AI-enabled data platforms and agent-based architectures. • Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking. All About You: • Proven experience as a Principal Engineer, Lead Architect, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy. • Deep expertise designing, building, and operating distributed data systems at global scale. • Strong hands-on experience with technologies such as Apache Spark, Kafka, Flink, NiFi, Databricks, Snowflake, and modern cloud-native data platforms. • Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP. • Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce. • Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments. • Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders. • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. • Strong executive presence with the ability to translate complex architecture concepts into business language. • Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences. • Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams. • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: June, 1st at 3pm Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

L5 Network Engineer (AWS Cloud) DETAILS Location: 100% Remote Position Type: 3M+ Contract (w/ possibility of converting to fulltime) Hourly / Salary: to $120W2+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Network Engineer L5 for a 3M+ Contract (w/ the possibility of conversion to fulltime) that is remote. The Network Engineer L5 will support a large-scale Connected Enterprise initiative focused on modernizing and optimizing network infrastructure across distributed donation centers and manufacturing facilities. The Network Engineer L5 will be heavily focused on enterprise-grade, multi-site networking within hybrid cloud environments, leveraging AWS Cloud WAN, AWS Transit Gateway, satellite connectivity, and mesh Wi-Fi technologies to deliver resilient, secure, and scalable connectivity solutions. The Network Engineer L5 will work closely with cross-functional teams to integrate on-prem and cloud-based environments, support IoT connectivity initiatives, and ensure network segmentation, compliance, and operational reliability across the enterprise landscape. The Network Engineer L5 is a highly hands-on engineering role requiring deep expertise in AWS networking, enterprise infrastructure design, and modern connectivity solutions, along with strong documentation and collaboration skills. AWS Network Architecture / Design - Designing and Implementing Resilient Multi-Site Network Architectures Utilizing AWS Cloud WAN and Transit Gateway Satellite / Wireless Connectivity - Configuring and Deploying Amazon Leo Satellite Connectivity and Eero Mesh WiFi Solutions Across Manufacturing Sites and Plasma Centers Network Security / Compliance - Establishing Network Segmentation / Security Policies / Compliance Controls Aligned to Regulatory Requirements Hybrid Connectivity / Cloud Integration - Integrating OnPrem and Cloud Network Environments Ensuring Seamless Connectivity Between AWS / Enterprise Systems / Customer Facilities IoT Connectivity / Data Integration - Supporting IoT Sensor Connectivity and Data Ingestion Pipeline Configuration Across Distributed Environments Documentation / Operational Readiness - Developing and Maintaining Network Architecture Diagrams / Runbooks / Operational Documentation Cross-Functional Collaboration - Partnering Closely With DTLs and Cross-Functional Teams to Support Network Delivery and Operational Objectives JOB REQUIREMENTS Enterprise Networking - Demonstrating Enterprise-Grade Multi-Site Networking Expertise Across Distributed Infrastructure Environments AWS Cloud WAN - Designing and Supporting Global Network Connectivity Using AWS Cloud WAN Architectures AWS Transit Gateway - Implementing and Managing AWS Transit Gateway for Scalable Hybrid and Multi-VPC Connectivity Certifications - AWS Certified Advanced Networking / CCNA/CCNP (Routing / Switching / Network Architecture Expertise) / PCNSA (Supporting Security / Firewall Administration), etc. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Job Description This role requires working onsite 4 days each week We are unable to sponsor for this permanent full-time role Position is bonus eligible Prestigious Financial Institution is currently seeking a Senior Network Security Engineer with strong Cisco and Palo Alto experience. Candidate will have deep expertise in Palo Alto firewalls, including design, deployment, migration, and ongoing optimization of security policies in complex enterprise environments. The engineer will partner across infrastructure teams to ensure secure, highly available connectivity, while also supporting internal and external stakeholders with a strong service mindset. This role requires advanced troubleshooting capabilities, including hands-on experience with Palo Alto CLI-based debugging typical of Tier 2/Tier 3 TAC scenarios, as well as strong foundational networking knowledge across routing protocols and packet-level analysis. The ideal candidate is a natural communicator who can drive problem resolution in large, cross-functional settings, clearly articulate technical findings, and influence outcomes across engineering, security, and operations teams. Success also requires the ability to communicate effectively with senior leadership-translating deep technical issues, risks, and trade-offs into concise, actionable insights-while mentoring junior engineers and helping elevate the overall capability of the team. Responsibilities: Design, deploy, and migrate Palo Alto firewall solutions across global environments, including architecture of security policies, segmentation, SSL decryption, and centralized management Lead complex security and network integrations by applying strong core networking principles (BGP, OSPF, routing design, failover, traffic engineering) to ensure resilient, high-performance connectivity Partner with network, cloud, and infrastructure teams to design and implement secure, scalable connectivity across on-prem and hybrid environments Serve as a senior escalation point, driving advanced troubleshooting across firewalls and underlying network infrastructure , including deep packet, flow, and session-level analysis Support network security operations and incident response, diagnosing complex connectivity issues involving routing, NAT, policy enforcement, and application behavior Mentor engineers and NOC staff, reinforcing strong networking fundamentals, structured troubleshooting, and operational best practices Manage and prioritize work intake while delivering clear, direct communication to both technical stakeholders and senior leadership Evaluate and recommend enhancements to security architecture, firewall capabilities, and network design to continuously improve reliability and security posture Qualifications 7+ years of network and security engineering experience across enterprise routing, switching, and firewall platforms, with strong foundations in secure connectivity and network design 5+ years of hands-on experience managing Palo Alto firewalls, including SSL decryption, security profiles, and Panorama-based centralized management (required) Strong, demonstrated experience designing and troubleshooting complex network and security environments, including routing protocols (BGP, OSPF), NAT, and packet-level analysis in production environments Deep understanding of TCP/IP, traffic flows, and structured troubleshooting methodologies across network and security domains Strong understanding of network security design principles, including segmentation, access control, and secure architecture patterns (zone-based design, microsegmentation, zero-trust concepts) Experience leading firewall migrations and contributing to enterprise network security architecture Experience with scripting or API-driven automation to improve operational efficiency Preferred Skills: Experience across additional enterprise networking platforms and edge technologies, including Arista or similar environments, proxy platforms, load balancers (e.g., F5), and multi-vendor infrastructure Experience with cloud networking and security, including AWS networking constructs and security controls, as well as edge security platforms such as Cloudflare or similar services Familiarity with modern application and container networking models, including Kubernetes networking, segmentation, and network policies Experience participating in or leading multi-vendor infrastructure migrations in large-scale environments Relevant industry certifications such as Palo Alto, Cisco, or equivalent

Job Description Role: AWS Data Architect Location: Lebanon, NJ Work Type: Hybrid - 3 days in a week from office Employment Type: Fulltime Company Overview Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model". With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries. With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers. We're building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence - RevolutionAIzing Transformations. Role Overview We are seeking a highly experienced and hands-on AWS Data Architect to lead the design, implementation, and governance of enterprise-scale data platforms on AWS. This role requires deep technical expertise, strong architectural ownership, and the ability to actively contribute to development while guiding teams. The ideal candidate will be a player-coach-capable of defining architecture, building solutions, and ensuring best practices across data engineering, analytics, and governance. Key Responsibilities Architecture & Design Define and own end-to-end data architecture on AWS (ingestion, storage, transformation, consumption) Design scalable, secure, and high-performing data platforms (lakehouse / modern data stack) Establish standards for data modeling, partitioning, metadata, and lifecycle management Architect solutions for both batch and real-time data processing Hands-On Engineering Build and implement pipelines using AWS Glue, EMR, Lambda, Step Functions Design data storage using S3, Redshift, RDS, DynamoDB Develop and optimize ETL/ELT pipelines using PySpark, SQL, and Python Implement data transformation frameworks and reusable components Data Governance & Security Define and enforce data governance, cataloging, and lineage Design row-level security, IAM policies, encryption strategies Work with AWS Lake Formation / Glue Data Catalog Performance & Optimization Optimize data pipelines for performance and cost efficiency Drive SPICE/BI dataset optimization (if QuickSight or similar tools involved) Improve query performance in Redshift/S3-based architectures Collaboration & Leadership Work closely with business, analytics, and engineering teams Lead technical discussions and design reviews Mentor data engineers and enforce engineering best practices Act as the primary owner of data architecture decisions Migration & Modernization Lead legacy data platform migrations (e.g., on-prem, Tableau, Hadoop) to AWS Define strategies for data platform modernization and cloud-native adoption Support large-scale BI/reporting migrations (e.g., to QuickSight) Reporting Frameworks & Reusable Components Create reusable reporting templates, dataset templates, and QuickSight themes. Build standardized KPIs, calculated fields, and metric definitions. Design modular AI agents and workflow templates that can be used across multiple business functions. Design modular reporting components that can be used across multiple dashboards. Implement parameterized dashboards and reusable visual components. Quick Suite Development & AI-Powered Reporting Design, develop, and maintain interactive dashboards, datasets, and visualizations in Amazon QuickSight (now part of Quick Suite). Build and configure Quick Chat agents to enable natural language querying across business data sources. Design Quick Spaces that group data, applications, and AI agents for specific business functions or teams. Build high-performance dashboards optimized for large datasets and fast refresh times. Implement row-level security (RLS) and governance controls for business users and AI agents. Create standardized QuickSight templates and dashboard frameworks that can be reused across teams. Design and maintain semantic layers and curated datasets for reporting and AI consumption. Ideal Candidate Profile Overall 12+ years of experience, including 5 to 7+ years in AWS Data Architecture. Core AWS Expertise Deep experience with: S3 (data lake design) AWS Glue (ETL, catalog) Amazon Redshift (data warehouse design & optimization) Lambda, Step Functions (orchestration) IAM, Lake Formation (security) Data Engineering & Processing Strong hands-on experience with: PySpark / Spark (EMR or Glue) SQL (advanced level) Python for data pipelines Experience with streaming (Kinesis / Kafka) is a plus Data Architecture Expertise in: Data lake / lakehouse architectures Data modeling (dimensional + normalized) Metadata and cataloging strategies Handling large-scale, distributed data systems Modern Data Stack (Preferred) Exposure to: dbt, Airflow, Snowflake (optional but valuable) BI tools (QuickSight, Tableau, Power BI) API-based ingestion and microservices-based data flows Amazon Quick Suite (QuickSight, Quick Chat, Quick Flows, Quick Automate, Quick Research) SQL & Data Modeling AWS Analytics Stack Dashboard Design AI Agent Design & Configuration Workflow Automation & Business Process Optimization Soft Skills Strong ownership mindset and ability to drive architecture end-to-end Excellent communication with both technical and business stakeholders Ability to work in fast-paced, ambiguous environments Proven leadership and mentoring experience Nice-to-Have AWS Certifications (Solutions Architect, Data Analytics Specialty) Experience with data governance frameworks / regulatory compliance Background in large enterprise transformations Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience Why choose Trianz? Personal Growth: Startup agility with enterprise impact. Experience rapid innovation cycles while working on Fortune 500 transformations. AI-First Future: Where humans and AI revolutionize business. Lead the charge in implementing AI-driven transformation at scale. Global Impact: Shape transformation across continents. Work with diverse teams and clients spanning Americas, Europe, Asia, and beyond. Executive Access: Direct impact on Fortune 500 strategies. Work alongside C-suite leaders and influence major business decisions. Ownership & Entrepreneurial Spirit: Your ideas, our platform, global impact. Zero bureaucracy culture with decision-making autonomy and rapid execution. Compensation & Benefits for Fulltime hiring. Trianz compensation reflects the cost of labor across several US geographic markets. The base pay ranges between USD $150000 to $170,000. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Trianz also offers comprehensive benefits including medical, dental, vision, FSA, EAP, 401(k) , flexible PTO, flexible schedule, and professional development assistance. Equal Employment Opportunity Trianz is an Equal Opportunity Employer and does not discriminate based on race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, special needs veteran, veteran of the Vietnam Era, or citizenship status (except in those special circumstances permitted or mandated by law). We comply with all state and federal laws and regulations protecting employees and applicants against illegal discrimination, retaliation, and harassment. Our policy is available upon request. We consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Trianz participates in the E-Verify program in certain locations, as required by law. We are committed to providing reasonable accommodation for all qualified individuals with a disability or other reasons protected by applicable laws. If you require assistance or accommodation due to a disability or special needs to search for a job opening or apply, please email with your request and contact information. Trianz Privacy Notice . click apply for full job details

Job Description About the Role FPT Software Americas is looking for a US-based Infrastructure Managed Services Presales Consultant to support enterprise customers across Cloud, Managed Services, AIOps, Observability, Automation, and Infrastructure. This is a client-facing role, partnering closely with US Sales and global Delivery teams to shape technically sound, commercially competitive solutions. Key Responsibilities Partner with Sales to gather requirements and develop technical solutions, proposals, Bills of Materials (BoM) and cost estimates. Lead customer presentations, workshops, RFP/RFI responses and technical discussions with US enterprise stakeholders. Design managed services offerings for 24x7 infrastructure, cloud, NOC/SOC and IT operations support. Develop AIOps and automation solutions covering event correlation, anomaly detection, predictive monitoring, and incident automation. Propose and architect AWS/Azure/GCP, Observability, DevOps/SRE and FinOps solutions. Collaborate with US Sales and global Delivery teams to ensure every solution is technically feasible and commercially competitive. Act as the technical face of FPT Software with US clients, building trust and long-term relationships. Requirements 5+ years of experience in infrastructure, cloud, managed services, systems integration, or technical consulting. 2+ years of dedicated presales experience. Strong knowledge of AWS/Azure/GCP, networking, servers, virtualization and IT operations. Practical, hands-on knowledge of AIOps, observability, automation and GenAI applied to IT operations. Experience in solution architecture, effort estimation, pricing/TCO modeling, and RFP/RFI response development. Excellent English communication and executive-level presentation skills. Proven experience working directly with US enterprise customers or in the US market. Willingness and ability to travel domestically as required by client engagements. Preferred Qualifications ITIL, AWS, Azure, FinOps and/or security certifications. Prior experience with a global IT services / SI provider serving US clients. Exposure to regulated industries (healthcare, financial services, manufacturing) is a plus.

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Security Architect DETAILS Location: Remote Position Type: 12M+ Contract Hourly / Salary: to 120W2+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Security Architect for a 12M+ Contract opportunity that is remote. The Security Architect will lead Enterprise Security Architecture initiatives focused on strengthening the organization's security posture across applications, cloud platforms, infrastructure, APIs, and data environments. The Security Architect will partner with engineering, infrastructure, and business teams to embed secure-by-design principles throughout the solution lifecycle by conducting security architecture reviews, cloud and data security assessments, and application security evaluations. The Security Architect will define and recommend security controls spanning identity and access management, network security, vulnerability management, API protection, and data governance while developing security standards, reference architectures, and best practices that improve resilience, reduce risk, and ensure compliance with organizational and industry security requirements. Security Architecture Reviews - Conducting End-to-End Security Architecture Reviews for Applications / SaaS Platforms / Infrastructure Projects Evaluating Designs Against Established Security Standards / Identifying Security Gaps / Recommending Practical Risk Mitigations / Applying Secure-by-Design Principles Early in the Solution Lifecycle Data Risk / Protection - Assessing Data Flows / Storage / Access Patterns / Sensitive Data Controls Recommending Improvements to Encryption / Data Masking / Access Governance / Monitoring / Databricks Security Configurations / Varonis Data Classification / Access Auditing / Insider Threat Monitoring Cloud Security Assessments - Leading Security Assessments Across Cloud Environments / Workloads Evaluating Configurations / Network Segmentation / Identity Boundaries / Logging / Workload Protections / Recommending Hardening Measures Aligned with Cloud Provider Best Practices / Organizational Cloud Security Frameworks Application / API Security - Providing Architectural Oversight for Penetration Testing / SAST / DAST Activities Reviewing Findings / Recommending Remediation Strategies / Validating Secure Development Practices / Assessing API Authentication / Authorization / Rate Limiting / API Key / Secret / Token Management Identity / Access / Endpoint Security - Applying IAM / PAM Principles Supporting Least Privilege / Separation of Duties / Strong Authentication Championing Phishing-Resistant MFA Using FIDO2 / Hardware-Backed Authenticators / Guiding MDM / MAM Strategies for Secure Mobile / Endpoint Access Network Security / Vulnerability Management - Evaluating Network Architectures / Segmentation Strategies / Perimeter Controls / Zero-Trust Controls Partnering with Infrastructure / Operations Teams to Prioritize Vulnerability Remediation / Recommend Architectural Changes Reducing Security Exposure Security Advisory / Governance - Serving as a Trusted Advisor on Enterprise Security Architecture Documenting Architectural Decisions / Maintaining Reference Architectures / Developing Reusable Security Patterns / Contributing to Security Standards / Policies JOB REQUIREMENTS Security Architecture Reviews - Performing Security Architecture Reviews Across Applications / SaaS Solutions / Infrastructure Environments Data Security - Conducting Data Flow Analysis / Data Risk Assessments / Sensitive Data Protection using Databricks / Varonis Cloud Security - Assessing Cloud Environments / Cloud-Native Security Controls / Cloud Security Best Practices API Security - Designing Secure API Architectures / Authentication / Authorization / API Key / Secret / Token Management IAM / PAM - Applying IAM / PAM Concepts Supporting Authentication / Authorization / Privilege Management / Identity Governance Modern Authentication - Implementing Phishing-Resistant MFA / FIDO2 / Modern Authentication Standards Mobile / Endpoint Security - Supporting MDM / MAM Platforms / Secure Mobile / Endpoint Management Strategies Network Security - Applying TCP/IP / Network Segmentation / Firewalls / Proxies / DNS / Vulnerability Remediation Practices Application Security - Supporting Penetration Testing / SAST / DAST Processes / Secure Application Development Practices Cyber Resilience / Disaster Recovery - Supporting Cyber Resilience Capabilities / Disaster Recovery Technologies / Business Continuity Strategies PREFERRED (not required) Security Certifications - CISSP / CCSP / SABSA / AWS Security / MS Azure Security / Google Cloud Security Certifications, etc. Security Frameworks - Applying NIST CSF / ISO 27001 / CIS Controls / Zero-Trust Reference Models to Security Architecture Initiatives Regulatory Compliance - Supporting Security Architecture within HIPAA / PCI / SOX / GDPR, etc. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details

Job Description Must be US Citizen. Shape Safer Skies with Artificial Intelligence! Concepts Beyond is seeking a hands-on AI / Data Engineer & Analyst to serve as our AI technical lead for aviation safety and air traffic management programs. A major focus is real-time voice processing - transcribing and extracting meaning from pilot-controller radio communications - alongside anomaly detection, aircraft conflict/collision risk prediction, and predictive safety analytics. This is a high-ownership, individual-contributor role: you will personally build, train, and deploy the models and pipelines that drive real decisions in the National Airspace System. We welcome recent Ph.D. graduates, postdocs, government or military technologists, and academic engineers - sharp, fast-learning technologists ready to grow into a highly visible, public-facing leadership role. Concepts Beyond builds solutions advancing Air Traffic Management, Information Management, cybersecurity, AI, data analytics, and safety. What You'll Do Voice & Speech Processing (Priority Focus Area) Build and fine-tune real-time ASR for pilot-controller radio communications using modern architectures (Whisper-class, Conformer/FastConformer, streaming RNN-T/CTC), adapted to noisy radio channels, call-sign phraseology, and diverse accents. Implement call-sign/command spotting and Named-Entity Recognition (NER) with contextual biasing against surveillance data (e.g., ADS-B); develop speaker-role/turn detection, voice activity detection, and read-back error detection. Deploy low-latency streaming inference for live ATC operations, evaluated on call-sign and command accuracy, not just overall word error rate. AI, Machine Learning & Intelligent Systems Develop RAG pipelines over enterprise vector stores, and fine-tune and deploy LLMs/SLMs and agentic architectures for real-time operational analysis and decision support. Develop AI/ML for aviation safety analytics: aircraft conflict and collision risk prediction, trajectory-based anomaly detection, and probabilistic, time-series, and causal-factor analysis on ASIAS/FOQA/ASRS data. Data Engineering & Infrastructure Architect, build, and maintain scalable, idempotent ETL/ELT pipelines for structured and unstructured data (e.g., Apache Airflow, Prefect, Spark, Flink) across cloud and hybrid environments. Integrate and manage data across enterprise platforms (e.g., Palantir Foundry, AWS, Azure, GCP). Thought Leadership & Innovation Analyze state-of-the-art technologies and drive cutting-edge AI strategy; promote thought leadership through publications, conference presentations, and industry collaboration. Required Qualifications Ph.D., Master's, or Bachelor's in Computer Science, Engineering, or a related field. Recent Ph.D. graduates and postdocs with strong applied AI/ML or speech/NLP research are strongly encouraged to apply. 5+ years of relevant experience in data engineering or applied AI/ML; equivalent Ph.D./postdoctoral research will be considered in place of industry tenure. Hands-on experience building real-time voice/speech AI (ASR/STT, speaker/role detection, keyword or entity spotting) - the most important technical qualification for this role - plus LLMs/SLMs, RAG, and production deployment with model versioning and monitoring. Proficient in Python with strong engineering practices (testing, logging, version control); experience with ETL/ELT orchestration, SQL, and big-data frameworks (Spark, Flink) on AWS, Azure, or GCP. Fast learner and clear communicator, able to explain complex technical work to technical and non-technical audiences, and eager to grow into public speaking and industry engagement. Nice to Have Strongly preferred: aviation domain experience (ATC operations, pilot communications/phraseology, ASIAS, SWIM, FOQA/ASRS) and hands-on Palantir Foundry experience - candidates with both are an especially strong fit. Exceptional AI/ML or voice talent from adjacent regulated domains (finance, healthcare, defense) will also be considered. Voice stack: Whisper large-v3/turbo and fine-tuned variants, NVIDIA NeMo/Canary, wav2vec 2.0/HuBERT, Conformer/FastConformer, BERT-based speaker-role classifiers, Silero VAD, pyannote diarization, keyword/wake-word spotting; audio-native multimodal LLMs a plus. Probabilistic modeling and causal inference (PyMC, Pyro, Stan); vector databases (FAISS, pgvector, Pinecone); Kafka/streaming; Docker, Kubernetes, and infrastructure-as-code. DevSecOps experience in regulated or safety-critical environments; experience leading technical architecture discussions with customers and partners. LLM/SLM fine-tuning (PyTorch, Hugging Face, LoRA/QLoRA); MLOps including drift detection, retraining pipelines, and monitoring. Computer vision (OpenCV, YOLO, SAM) and multimodal models for surveillance and surface imagery.

Job Description EazyML, Recognized by Gartner, EazyML () specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and The company is associated with breakthrough startups like Amelia.ai. We are seeking a highly experienced Principal Product & TechnologyLead to partner with business and technology leaders in driving strategy, delivery, and adoption of enterprise analytics, AI, and digital platforms. This individual will serve as a trusted advisor to stakeholders while leading cross-functional teams, managing complex technology initiatives, and ensuring delivery of measurable business value. The ideal candidate combines product leadership, technical depth, strategic thinking, and execution excellence to successfully lead initiatives spanning data, analytics, AI/GenAI, and enterprise application platforms. Key Responsibilities Product Strategy & Portfolio Management Define product vision, roadmap, and prioritization across a portfolio of analytics, data, AI, and digital solutions. Partner with business stakeholders to identify opportunities, define requirements, and deliver business outcomes. Develop and maintain product backlogs, release plans, success metrics, and adoption strategies. Drive value realization through measurable business outcomes and ROI tracking. Technology Leadership Provide technical leadership across architecture, design, integration, and platform modernization initiatives. Collaborate with engineering teams to ensure scalable, secure, and maintainable solutions. Guide solution design reviews and technical decision-making. Promote engineering best practices, automation, DevOps, and AI-assisted development approaches. AI & Innovation Identify, evaluate, and drive AI/GenAI use cases from concept through implementation. Partner with business and technical teams to define AI product strategy and business value. Support the adoption of emerging technologies including Generative AI, AI Agents, and automation capabilities. Ensure alignment with Responsible AI and governance requirements. Program & Delivery Leadership Lead planning, execution, and delivery across multiple concurrent initiatives. Manage dependencies, risks, issues, and stakeholder communications. Facilitate Agile ceremonies, roadmap reviews, governance forums, and executive updates. Coordinate cross-functional teams including Product, Engineering, Data, Quality, Operations, and Business partners. Stakeholder & Vendor Management Serve as a trusted advisor to business and technology leadership. Drive alignment across internal teams and external vendor partners. Lead executive presentations, strategic planning discussions, and steering committee reviews. Establish accountability and ensure successful delivery against commitments. Governance & Compliance Support architecture reviews, security assessments, and technology governance processes. Ensure compliance with applicable regulatory, privacy, security, and enterprise standards. Maintain appropriate documentation, controls, and audit readiness. Required Qualifications: Experience Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 10+ years of experience in Product Management, Technology Delivery, Solution Architecture, Engineering Leadership, or Technology Consulting. Proven experience leading enterprise-scale digital, analytics, data, or AI product initiatives. Experience managing global cross-functional teams and large-scale technology programs. Strong executive presence with the ability to communicate effectively with both technical and business audiences. Technical Requirements: Product & Delivery Expertise in product strategy, roadmap development, backlog management, and release planning. Strong understanding of Agile, Scrum, and modern product development methodologies. Experience managing complex technology portfolios and delivery roadmaps. Software Engineering & Architecture Strong understanding of Software Development Life Cycle (SDLC). Experience with enterprise application architecture and integration patterns. Knowledge of APIs, microservices, event-driven architectures, and distributed systems. Familiarity with frontend, backend, and cloud-native application development. Cloud & Platform Technologies Experience with one or more cloud platforms including Azure, AWS, or GCP. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Understanding of cloud migration, platform modernization, and scalable architecture design. Data & Analytics Strong understanding of: SQL Data Warehousing Data Modeling ETL/ELT Pipelines Enterprise Data Platforms Experience with analytics and business intelligence tools including Power BI, Tableau, Qlik, or ThoughtSpot. Experience delivering large-scale analytics or data-driven products. Artificial Intelligence & Generative AI Experience leading or supporting AI and Generative AI initiatives. Working knowledge of: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI Agents and Agentic Workflows Vector Databases Prompt Engineering Understanding of AI governance, responsible AI practices, and enterprise AI adoption. Development & Delivery Tooling Experience with: Jira Confluence Azure DevOps GitHub Git Microsoft 365 Ecosystem Ability to manage technical backlogs, releases, sprint planning, and delivery metrics. Governance, Security & Compliance Familiarity with: Security Reviews Risk Assessments Data Privacy Requirements AI Governance Frameworks Computer System Validation (CSV) GxP and Regulated Environments (preferred) Preferred Qualifications: Experience in Life Sciences, Pharmaceutical, Clinical Development, Healthcare, or Medical Technology industries. Experience supporting enterprise analytics and AI platforms. Experience managing global delivery teams and third-party vendors. Experience building business cases, ROI analyses, and value realization frameworks. Background in management consulting, technology strategy, or digital transformation.

Job Description Lead Full Stack Engineer, Washington DC X4 is partnered with a scaling healthcare AI company building products for healthcare payers and providers. They're looking for a Lead Full Stack Engineer based in Washington DC to support a government department. Candidates must be US citizens living in the DC area and must be able to successfully go through the government security clearance process. The ideal candidate will already hold a US security clearance and/or have worked with government authorities or government customers in the past. About the role We're looking for a Lead Full Stack Engineer to design and deliver secure, scalable web applications supporting a government department. The role bridges traditional full-stack development and AI integration. You'll build scalable applications, implement autonomous agents, and integrate Large Language Models into production workflows, moving across the front end, back end, cloud infrastructure and AI layers. You'll contribute to architecture decisions and help make sure the product is robust and secure. The role is primarily remote, with occasional in-person attendance in the Washington DC area. Some interview rounds may take place on-site. What you'll do Design, build and maintain scalable, secure web applications and APIs across the front end, back end and cloud infrastructure. Contribute to architecture and technical design decisions. Provision, manage and optimise cloud infrastructure, including government cloud environments where applicable. Design and implement robust integrations with LLMs and other ML models, including autonomous agents where appropriate. Build and maintain CI/CD pipelines and follow infrastructure-as-code practices. Take part in code and design reviews, upholding standards for code quality, security and testing. Work with product management and other engineers to define requirements and deliver high-quality products. What we're looking for We're looking for a well-rounded engineer. We're not fixed on a specific tech stack, so experience with an equivalent technology is just as valuable. The core areas are: Full-stack experience: 8 to 10 years of professional software engineering experience, including significant full-stack work on customer-facing applications. Strong front-end experience: for example React, Next.js or TanStack, using JavaScript and TypeScript, or equivalent. Strong back-end experience: for example Python (FastAPI) or the Node.js ecosystem, or equivalent. Proven experience designing secure, scalable REST and GraphQL APIs is essential. Cloud experience: hands-on experience with AWS, Azure or GCP, including relational and NoSQL databases such as PostgreSQL or DynamoDB, or equivalent. AI and LLM experience: experience building applications that consume LLM APIs, with working knowledge of prompt engineering and patterns such as chain-of-thought, ReAct and RAG, plus context window management. Experience integrating AI and ML models into production systems is preferred. Preferred Existing US government security clearance. Experience working with, or supporting, government authorities or government customers. Experience building and maintaining CI/CD pipelines (GitHub Actions, Bitbucket Pipelines or similar). Infrastructure-as-code experience with Terraform, Pulumi or AWS CDK. Startup mindset: a quick learner with a bias for action, ownership and pragmatism over perfection. What's on offer Competitive salary Healthcare 401(k) Bonus Remote, with occasional in-person attendance If this sounds like a good fit for you, or someone you know, please apply and reach out to .