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This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The Database Engineer is responsible for supporting, implementing, and maintaining enterprise database platforms and cloud-based data solutions. This role requires 2-4 years of experience with database technologies, modern data architectures, and industry best practices, including SQL Server, PostgreSQL, and AWS cloud services. The engineer works on assigned projects and operational activities, delivering secure, scalable, and reliable database solutions that meet business and application requirements. Responsibilities include supporting database platforms across on-premises and AWS environments, utilizing services such as Amazon RDS, Aurora, DynamoDB, DocumentDB, and DMS/SCT for migration and modernization initiatives. About the Role: The role focuses on hands-on engineering activities, including database administration, performance tuning, troubleshooting, monitoring, and operational support while following established standards and best practices. This position collaborates closely with infrastructure, application, and security teams to help deliver reliable and resilient database solutions. It also contributes to continuous improvement efforts through automation, monitoring, and adoption of modern database technologies. Additionally, the engineer helps maintain the performance, availability, integrity, and security of the database environment, supporting operational excellence and consistent service delivery. Responsibilities of the Role: Support database engineering initiatives and contribute to project delivery and platform enhancements. Implement, maintain, and support SQL Server and PostgreSQL environments, ensuring availability, security, performance, and reliability. Follow established database standards, best practices, and operational procedures. Assist with performance tuning, query optimization, schema changes, and database troubleshooting. Participate in resolving database incidents and support root cause analysis activities. Support cloud adoption and migration efforts to AWS using tools such as DMS and SCT, as well as services including RDS, Aurora, DynamoDB, and related platforms. Assist in improving system reliability through automation, monitoring, patching, and maintenance activities. Collaborate with infrastructure, application, and security teams to support secure, scalable, and resilient database solutions. Participate in on-call support and operational activities as required. Requirements of the Role: 2-4 years of experience supporting and administering SQL Server and PostgreSQL database environments. Working knowledge of high availability and disaster recovery concepts, including Always On Availability Groups, replication, backups, recovery processes, and Aurora capabilities. Experience supporting database migrations and modernization initiatives in AWS environments, including RDS and Aurora. Proficiency with SQL Server technologies, including T-SQL development, database administration, and performance tuning. Experience with scripting or automation tools such as PowerShell, Python, Terraform, or similar technologies. Understanding of database platform operations across on-premises, hybrid, and cloud environments. Familiarity with monitoring and troubleshooting tools such as CloudWatch, Splunk, or equivalent platforms. Knowledge of source control, automation, and DevOps practices, including Git and infrastructure-as-code concepts. Ability to analyze technical issues and implement effective solutions under guidance when required. Self-motivated with a willingness to learn new technologies and processes. Strong written and verbal communication skills. Ability to work effectively with team members across multiple technical disciplines. Strong analytical and problem-solving skills. Ability to manage multiple assignments and meet deadlines in a dynamic environment. Strong attention to detail and commitment to operational excellence. Ability to build and maintain positive working relationships with coworkers, stakeholders, and business partners. Demonstrates initiative and a continuous improvement mindset Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field preferred. Formal training in SQL Server and PostgreSQL technologies preferred. Hands-on experience with PostgreSQL, SQL Server, and AWS cloud database services including Amazon RDS, Aurora, DynamoDB, and Redis Cache. Exposure to cloud-native and NoSQL technologies such as DynamoDB and DocumentDB is a plus. Relevant database or cloud certifications are desirable but not required AWS Cloud and PostgreSQL database certification is required. SQL Server Database Certification is a plus Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. As a Senior Site Reliability Engineer you will help build the reliability practice behind it. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will partner with our Senior SRE in Zurich and work alongside our platform engineers and product teams. The first three to six months: Some of what you can expect early on: Learning our AWS environment, our serverless platform, and how our product teams build and release Contributing to the direction on observability tooling, together with the platform engineers, the SRE team, and our developers Working with the Zurich team on the incident and on-call operating model Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Define and evolve SLIs, SLOs, and error budgets with product teams, and use them to drive reliability decisions Collaborate on the design of our observability approach for a distributed serverless system, covering metrics, logs, and traces Build the incident response practice with us: on-call model, escalation, blameless post-mortems, and the loop that turns findings into hardening work Build reliability automation that detects and remediates issues before they reach clients Improve CI/CD pipelines and deployment automation on GitHub Actions to reduce operational toil and release risk Work with product teams on resilient design, capacity planning, and progressive delivery approaches such as canary and blue-green Contribute to disaster recovery design and testing for client-facing environments Partner with Security and Compliance so that operational practice holds up to regulatory and audit expectations Help us define and implement operational readiness for client go-live Mentor colleagues and support a culture of shared operational ownership Our stack: Serverless-first on AWS: Lambda, DynamoDB, SQS, S3, and Bedrock. Terraform and OpenTofu for infrastructure, GitHub Actions for CI/CD. Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers. Qualifications 5+ years in Site Reliability Engineering, DevOps, or production operations for distributed cloud systems, with substantial hands-on AWS experience Practical experience defining and working with SLIs, SLOs, and error budgets Strong incident response background, including on-call, triage under pressure, and post-mortem practice A clear point of view on observability for distributed systems, and the reasoning behind it Solid automation and scripting ability. We are language-agnostic; Rust, TypeScript, or Python all work here Excellent collaboration and communication skills, with a pragmatic approach to balancing speed and stability It would be a real bonus if you have: Experience with AWS serverless and event-driven architecture, including idempotency, retries, dead-letter queues, and failure handling. Strong AWS generalists who want to go deep here are welcome Experience taking a platform from pre-launch to production, including defining operational readiness criteria Experience building AI agents to monitor platform health Strong CI/CD background, ideally with GitHub Actions, including secrets management, least-privilege permissions, and deployment controls Infrastructure as Code experience with Terraform or OpenTofu Experience with progressive deployment approaches such as canary, blue-green, or rollback automation Disaster recovery design and testing for production SaaS Experience operating across more than one cloud provider, or designing for portability Experience operating a B2B SaaS platform in a regulated environment, including audit-sensitive release processes Familiarity with SOC 2, PCI DSS, or GDPR as they apply to operational practice Experience with AI-assisted engineering tools AWS certification, particularly DevOps Engineer - Professional, Solutions Architect - Professional, or Security - Specialty Additional Information This role will require regular travel to Switzerland We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

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 Position Title .NET Developer Position Summary NEED TO BE A US CITIZEN TO APPLY FOR THIS JOB The .NET Developer will design, develop, enhance, and maintain secure, scalable, and high-performing applications using the Microsoft .NET framework. This role supports the full software development lifecycle, including requirements analysis, solution design, coding, testing, troubleshooting, deployment support, and ongoing application maintenance. The developer will collaborate with technical and functional stakeholders to deliver reliable software solutions that align with business needs, coding standards, security requirements, and operational expectations. Key Responsibilities Develop, enhance, and maintain back-end application code using .NET, ASP.NET Core, C#, Entity Framework, and related Microsoft development technologies. Design and implement application components, APIs, services, data access layers, and integrations that support business and technical requirements. Write clean, reusable, efficient, and well-documented code that follows established development standards, secure coding practices, and source-control procedures. Collaborate with business analysts, project managers, testers, architects, and other developers to define requirements, estimate work, resolve issues, and deliver quality software releases. Troubleshoot, debug, test, and resolve application defects using tools such as Visual Studio, logging frameworks, debugging utilities, and cloud-based monitoring capabilities. Support application deployment, configuration, maintenance, and performance tuning across development, testing, staging, and production environments. Participate in code reviews, peer reviews, unit testing, documentation updates, and continuous improvement activities to strengthen application quality and maintainability. Assist with cloud-hosted application development and modernization efforts, including solutions hosted in AWS environments when applicable. Required Qualifications Minimum of 3 years of experience developing and maintaining applications using .NET technologies. Hands-on experience with C#, ASP.NET Core, .NET Framework or .NET Core, Entity Framework, RESTful APIs, and object-oriented programming concepts. Experience writing, testing, debugging, and maintaining scalable application code in an enterprise development environment. Experience using Visual Studio and source-control tools such as Git, Azure DevOps, Team Foundation Server, or similar platforms. Working knowledge of relational databases, SQL queries, stored procedures, data modeling concepts, and application data access patterns. Ability to analyze business requirements, translate them into technical solutions, and communicate effectively with technical and non-technical stakeholders. Familiarity with application troubleshooting, defect resolution, unit testing, system integration testing, and production support practices. Understanding of secure application development practices, including authentication, authorization, input validation, error handling, and protection of sensitive data. Minimum Education Bachelor's degree in Information Technology, Computer Science, Software Engineering, Information Systems, or a related field from an accredited institution is preferred. Equivalent professional experience, technical training, or relevant certifications may be considered in lieu of a degree. Minimum Experience At least 3 years of professional experience in .NET application development, including experience supporting development, testing, troubleshooting, and maintenance activities in a team-based environment. Required Certifications Certifications are preferred but not required. Relevant certifications may include AWS certifications, CompTIA Security+, Microsoft Certified: Azure Developer Associate, Microsoft Certified: Azure Fundamentals, or other software development, cloud, or security-related credentials. Preferred Qualifications Experience developing, deploying, or supporting applications in AWS cloud environments. Experience with CI/CD pipelines, build and release processes, automated testing, and DevOps practices. Familiarity with Agile development methodologies, sprint planning, backlog refinement, user stories, and iterative delivery. Experience modernizing legacy applications, refactoring code, improving performance, or migrating applications to cloud or modern .NET platforms. Knowledge of web application security, identity and access management, API security, and secure software development lifecycle practices. Strong analytical, problem-solving, communication, and documentation skills.

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 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 Job Title: Senior Application Architect - AI Agentic, Integration & Architecture COE Location: New York, NY (Hybrid - 3 days onsite and 2 days remote per week) Duration: 12 Months / CONTRACT NO BENEFITS Working Hours: 37.5 hours per week Position Level: Senior Level Certifications: Cloud certification and other relevant certifications preferred. Position Summary We are seeking a highly experienced Senior Application Architect with deep expertise in agentic AI architecture, enterprise integration, and application architecture standards. This is a hands-on senior-level role responsible for designing AI-enabled and agent-based solutions, defining enterprise integration patterns, establishing application architecture standards, and contributing to the development of an Architecture Center of Excellence (COE). The ideal candidate will have extensive experience designing enterprise-scale solutions across Microsoft Azure, AWS, and hybrid cloud environments. The role requires strong technical leadership, a solid understanding of AI/LLM architectures, and the ability to establish secure, scalable, and reusable architectural patterns across the enterprise. Key Responsibilities 1. AI Agentic Architecture Design reference architectures for agentic AI solutions, including multi-agent orchestration, tool calling, Retrieval-Augmented Generation (RAG), and human-in-the-loop controls. Define secure architectural patterns for integrating AI agents with enterprise systems, APIs, and services, including Model Context Protocol (MCP) and event-driven triggers. Establish governance guardrails for agent identity, access management, auditability, observability, evaluation, and cost optimization. Ensure AI-enabled solutions meet enterprise security, scalability, reliability, and governance requirements. Develop reusable architectural frameworks and best practices for enterprise AI adoption. 2. Enterprise Integration Architecture Design and govern API-led, event-driven, and messaging-based integration architectures. Define API lifecycle management strategies, API gateway standards, and enterprise integration patterns. Establish integration approaches for legacy applications, SaaS platforms, and cloud-native systems. Ensure integration architectures support interoperability, scalability, security, and maintainability. Promote reusable integration components and standardized architectural practices across enterprise applications. 3. Architecture Standards and Center of Excellence (COE) Develop, publish, and maintain application, integration, API, and AI architecture standards. Create reference architectures, technical guidelines, reusable design patterns, and implementation playbooks. Help establish and operate an Architecture Center of Excellence, including its charter, governance forums, design reviews, training programs, and operational processes. Define architecture governance processes to ensure consistency, compliance, and alignment with enterprise technology strategy. Establish metrics to measure architecture standards adoption and COE effectiveness in coordination with AI and IT adoption tracking initiatives. Provide architectural guidance and support to development teams to encourage adherence to established standards. 4. Application Modernization, Security, and Collaboration Guide application modernization initiatives and cloud architecture design across Azure, AWS, and hybrid environments. Ensure architectural designs align with applicable security frameworks and organizational requirements, including NIST, the NIST AI Risk Management Framework (AI RMF), CIS, ISO 27001, and relevant transportation-sector security requirements. Collaborate with product management, software engineering, DevOps, and Cybersecurity teams to deliver secure and scalable enterprise solutions. Evaluate emerging technologies and recommend architectural approaches that support business objectives and technology modernization. Communicate architectural decisions, technical strategies, and recommendations effectively to executive leadership, business stakeholders, and technical teams. Provide technical leadership throughout solution design, architecture reviews, and implementation activities. Required Qualifications 10+ years of experience in application architecture or enterprise architecture. Demonstrated experience designing cloud-native applications and enterprise solutions using Microsoft Azure and/or AWS. Hands-on experience delivering enterprise AI, Large Language Model (LLM), or agentic AI solutions. Strong understanding of agentic AI architecture, multi-agent orchestration, RAG, tool calling, and AI governance. Proven experience developing, documenting, and maintaining enterprise architecture standards and reference architectures. Experience establishing or operating an Architecture Center of Excellence (COE), architecture review board, or similar governance function. Extensive knowledge of enterprise integration architecture, API management, event-driven architecture, and messaging patterns. Understanding of application modernization strategies, hybrid cloud environments, and enterprise technology integration. Strong knowledge of security architecture, risk management, and enterprise governance frameworks. Excellent communication and stakeholder management skills, including the ability to present architectural strategies and recommendations to executive-level audiences. Technical Skills and Experience Complex Data Architecture: 6+ years of experience. Information Architecture: 6+ years of experience. IT Architecture: 6+ years of experience. Cloud Architecture: Experience with Azure, AWS, and/or hybrid cloud environments. AI and Agentic Architecture: Experience with enterprise AI/LLM solutions, multi-agent orchestration, RAG, and secure AI integrations. Enterprise Integration: Strong expertise in API-led integration, event-driven architecture, messaging, and API lifecycle management. Architecture Governance: Experience developing standards, reference architectures, governance frameworks, and COE operating models. Security and Compliance: Familiarity with NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. Preferred Certifications Microsoft Azure or AWS cloud certification. Additional relevant certifications in enterprise architecture, cloud architecture, AI, cybersecurity, or integration architecture.

Job Description Job Description Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: 1) Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities 2) Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence 3) Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming 4) Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Skills Preferred: N/A Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3 years building production software systems, including 1 2 years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks LangGraph, CrewAI, LlamaIndex, or equivalent for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: 1. Experience with cost optimization and model routing designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. 2. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. 3. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. 4. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. 5. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Hybrid 4 days a week onsite Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.

Job Description Description On-site in Aberdeen Proving Ground, MD Our client seeks an AI Engineer to support CECOM ASIC in developing and deploying AI/ML models, agentic AI systems, analytics solutions, and automation workflows that drive Army readiness and modernization. This hands-on contributor will collaborate with government personnel to design, build, and implement solutions, integrate LLMs with mission data, and advance cloud-native AI practices while providing technical mentorship and knowledge transfer. Due to federal security clearance requirements, applicant must be a United States Citizen with an active Top Secret clearance. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $80.00 to $90.00/hr. w2 Responsibilities Develop and deploy mission-focused AI/ML models, analytics solutions, automation workflows, and agentic AI applications supporting Army and CECOM initiatives. Collaborate with government engineers, analysts, and stakeholders to deliver operationally relevant AI solutions. Design, develop, and maintain data pipelines, dashboards, Power BI solutions, RAG systems, and agent-based workflows. Build and implement Generative AI and Agentic AI solutions using frameworks such as LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, and LangGraph. Integrate LLMs with mission data sources, vector databases, memory systems, and orchestration frameworks in alignment with cybersecurity and governance requirements. Support cloud-native AI practices including MLOps, AIOps, CI/CD pipelines, model monitoring, and responsible AI. Produce technical documentation, sustainment plans, and transition materials for long-term government ownership. Deliver technical coaching and knowledge transfer to expand AI and data science competencies. Partner with mission stakeholders to align AI and analytics capabilities with operational requirements and modernization objectives. Experience Requirements Active Top Secret SCI clearance and Secret clearance required. Bachelor's degree in a related technical discipline or equivalent experience. Minimum 4 years developing and delivering AI/ML solutions. At least 1 year working with Generative AI, Agentic AI, or multi-agent systems. Minimum 2 years of hands-on Python development. At least 1 year building agentic AI with frameworks such as LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, or LangGraph. Experience with ML workflows, data pipelines, automation, or advanced analytics. Experience supporting AI/ML workloads in Azure, AWS, or GCP. Ability to translate mission or business requirements into technical solutions. Experience supporting DoD, U.S. Army, or Federal Government programs preferred. Experience conducting technical training, mentoring, or knowledge transfer in government environments preferred. Experience designing and implementing multi-agent systems for decision support, workflow automation, or mission operations preferred. Knowledge of LLM prompt engineering, model tuning, secure RAG, vector databases, and retrieval systems preferred. Experience with MLOps, AIOps, DevSecOps, CI/CD, and cloud-native deployments preferred. Experience integrating APIs, microservices, and event-driven architectures preferred. Experience with Microsoft Power Platform including Power Apps and Power Automate preferred. Familiarity with Azure AI and Analytics services such as Azure OpenAI, Azure Machine Learning, Azure AI Foundry, Microsoft Fabric, and Synapse Analytics preferred. Education Requirements Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline, or equivalent experience.

Job Description NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This position will perform work that the U.S. government has specified can only be performed by a U.S. citizen on U.S. soil. Meet the Team Join Cisco's Cloud and Data Center Engineer ing team - a collaborative group of engineer s, architects, and operations specialists dedicated to designing, implementing, and optimizing Cisco's cloud -based and hybrid infrastructure with a strong focus on kubernetes , terraform , network, cloud and data center operations. Our team partners with product managers, security , and IT operations to deliver secure, scalable, and reliable solutions, while staying aligned with Cisco's security standards and industry best practices. We thrive on cross-functional collaboration, continuous learning, and delivering high-impact solutions that power Cisco's business. Your Impact Design, develop, and implement cloud -based and data center network solutions, combining cutting-edge technologies to optimize architecture in line with Cisco's security standards and policies. Collaborate with product managers, engineer s, and security teams to develop detailed specifications for new cloud -based products, services, and applications, focusing on network security optimization, scalability, and performance. Plan and implement infrastructure migration activities for cloud and data center relocation or consolidation projects, including assessing environments, creating migration strategies, and mitigating risks. Deploy , configure, and maintain virtualization platforms (e.g., Kubernetes clusters, VM ware, OpenStack ), performing both live and cold infrastructure and services migrations and decommissioning with minimal service disruption. Invent solutions using open source and commercial technologies to ensure service availability and quality against speed-to-market needs for rapid delivery of new features and releases. Develop and lead tools, frameworks, infrastructure , templates, etc. for configuring, building and deploy ing platform and cloud applications in an automated manner. Minimum Qualifications A Bachelor's Degree in Computer Science, or Engineer ing, combined with 7 years of experience such as network engineer ing or data center operations, or a Master's Degree in Computer Science, Engineer ing, or a related technical field, combined with 4 years of experience or PhD, combined with 1 year of related experience. Experience in deploy ing, administering, and operating virtualization platforms ( VM ware, OpenStack , Hyper-V ). Experience in building, operating, tuning, and debugging Linux and Windows Server environments for high availability and performance. Experience in Infrastructure as Code ( Terraform , Ansible , GitOps ). Experience with IPv 4/ IPv 6 networking and experience with cloud network architecture and automation . Experience with scripting languages ( Python , Go, Bash , PowerShell ) for infrastructure automation . Experience with Public and Private Cloud Platforms (AWS, Azure , DC, etc.) and container technologies (Docker, Kubernetes , etc.). Preferred Qualifications Experience with monitoring, observability, and incident response in Public/Private cloud or hybrid environments. Validated drive for continuous learning, results-orientation, and collaboration. Ability and the passion to learn new technologies quickly. Written & verbal communication skills to work with the global engineer ing teams and ability to work with multi-functional teams and departments. Experience in automation and modern DevOps practices. Experience with Source Code Control Management and CI/CD tools (Git, Jenkins, Argo, Harness, Atlantis, TFE, etc.). Experience in development of next gen agentic AI ops agents Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security , visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.

Job Description We are hiring a Senior Embedded Systems Engineer to lead firmware development for next-generation smart home devices. You will architect connected IoT solutions using the Matter standard (Wi-Fi & Thread) , ensuring interoperability across Apple Home, Google Home, and Amazon Alexa. What You'll Do Build production-grade C/C++ firmware using FreeRTOS or Zephyr RTOS . Implement Matter-over-Wi-Fi/Thread , OpenThread Border Router (OTBR), and BLE onboarding flows. Connect devices securely to Azure IoT Hub using MQTT, TLS, and Device Provisioning Service (DPS). Design fail-safe, dual-bank OTA update architectures and secure boot flows. Resolve ecosystem interoperability issues and prepare devices for CSA Matter certification . What We're Looking For 8+ years of embedded C/C++ firmware engineering experience. Deep IoT Protocol Expertise: Matter, Thread, BLE 5.x, and Wi-Fi stacks. RTOS & Bootloaders: FreeRTOS or Zephyr, plus dual-bank OTA updates (e.g., MCUBoot). Security & Cloud: TLS/SSL, PKI, secure boot, and Azure IoT Hub (or AWS IoT Core). Hardware Debugging: JTAG/SWD, logic analyzers, and Wireshark RF sniffing.

Job Description Job Title: AWS DevOps Engineer Company: Clinisol Tech Inc. Employment Type: Full-Time, W2 (deployed to client projects) Experience: 3-4 years Compensation: $65,000 - $90,000 per year Work Mode: On-Site / Hybrid Work Authorization At this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship. Why This Role? Modern businesses run on cloud infrastructure - and DevOps engineers who can automate, scale, secure, and optimize AWS environments are in high demand. Build expertise in cloud automation, CI/CD, Infrastructure as Code, containers, and Kubernetes while working on real-world client environments and modern cloud transformation initiatives. Job Summary Clinisol Tech Inc. is looking for a hands-on AWS DevOps Engineer to support cloud infrastructure, deployment automation, and production operations across client environments. The ideal candidate will have practical experience building and maintaining AWS infrastructure, CI/CD pipelines, Infrastructure as Code, containerized applications, and automated deployment processes . You will work closely with development, cloud, security, and operations teams to improve application delivery, reliability, scalability, and security. This is a hands-on engineering role suited for someone who enjoys automation, troubleshooting, cloud infrastructure, and continuous improvement . Key Responsibilities AWS Cloud & Infrastructure Design, deploy, configure, and maintain AWS infrastructure across development, QA, staging, and production environments. Work with AWS services including EC2, VPC, S3, IAM, RDS, Route 53, CloudWatch, ELB/ALB, ECR, ECS and/or EKS . Support highly available, scalable, and secure cloud environments. Assist with cloud migrations and modernization of existing infrastructure. Infrastructure as Code & Automation Develop and maintain reusable infrastructure using Terraform and/or AWS CloudFormation . Create Terraform modules and follow Infrastructure as Code best practices. Automate repetitive infrastructure and operational tasks using Python, Bash, or Shell scripting . Manage configuration and environment-specific deployments through version-controlled code. CI/CD & Release Automation Build, maintain, and optimize CI/CD pipelines for application build, testing, security scanning, and deployment. Work with one or more CI/CD platforms such as Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline/CodeBuild, or similar tools . Implement automated deployment strategies across multiple environments. Troubleshoot failed builds, deployments, and release issues. Support rollback and release-management processes. Containers & Kubernetes Build and manage containerized applications using Docker . Deploy and manage applications using Kubernetes, preferably AWS EKS , and/or Amazon ECS. Work with Kubernetes resources, deployments, services, ingress, namespaces, ConfigMaps, and Secrets. Use Helm or similar tools for application deployment and configuration. Exposure to GitOps tools such as Argo CD or Flux is a plus. Monitoring, Observability & Reliability Implement monitoring, logging, alerting, and performance tracking for cloud and application environments. Work with tools such as AWS CloudWatch, Prometheus, Grafana, Datadog, ELK/Elastic, or similar platforms . Troubleshoot infrastructure, application, deployment, networking, and performance issues. Participate in production support, incident response, root-cause analysis, and preventive-action activities. Security & Cost Optimization Implement AWS security best practices involving IAM, least-privilege access, security groups, network segmentation, encryption, secrets management, and secure deployments . Integrate security and vulnerability scanning into CI/CD pipelines where applicable. Monitor AWS resource utilization and identify opportunities for cost and performance optimization . Follow organizational security, compliance, and cloud governance standards. Collaboration Work closely with developers, QA, architects, security teams, and operations teams. Participate in code reviews, infrastructure reviews, deployment planning, and technical discussions. Document infrastructure, deployment procedures, troubleshooting steps, and operational processes. Qualifications 3+ years of hands-on experience in DevOps, Cloud Engineering, Platform Engineering, or SRE roles. Strong hands-on experience with AWS . Experience with Terraform and/or CloudFormation for Infrastructure as Code. Hands-on experience building and managing CI/CD pipelines . Experience with Docker and Kubernetes/EKS and/or ECS . Strong Linux/Unix administration and troubleshooting skills. Strong scripting/automation experience using Python, Bash, or Shell . Good understanding of Git/GitHub/GitLab/Bitbucket and source-code management. Strong understanding of AWS networking , including VPCs, subnets, security groups, load balancers, routing, and DNS. Understanding of AWS IAM and cloud security fundamentals . Experience troubleshooting production infrastructure and deployment issues. Strong communication, analytical, and problem-solving skills. Tools & Technologies You Will Use AWS Cloud Services: EC2, S3, IAM, Lambda, ECS, EKS, VPC, Route53, CloudFront, RDS, DynamoDB. Infrastructure as Code (IaC): Terraform, AWS CloudFormation. CI/CD & Automation: Jenkins, GitLab CI/CD, AWS CodePipeline, AWS CodeBuild, GitHub Actions. Containerization & Orchestration: Docker, Kubernetes (EKS), Helm. Monitoring, Logging & Observability: AWS CloudWatch, Datadog, ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana. Scripting & Configuration Management: Python, Bash, Shell Scripting, Ansible. Version Control & Collaboration: Git, GitHub, GitLab, Jira, Confluence. Security & Compliance: AWS KMS, AWS Secrets Manager, HashiCorp Vault, SonarQube, IAM policies. Preferred Skills AWS Certified Solutions Architect - Associate/Professional or AWS Certified DevOps Engineer. Experience implementing GitOps and automated deployment strategies. Exposure to Argo CD, Flux, or similar GitOps platforms. Experience implementing DevSecOps , vulnerability scanning, and secrets management. Experience with AWS cost optimization and FinOps practices. Exposure to microservices and cloud-native application architectures. Experience supporting production environments, incident response, and root-cause analysis . Familiarity with high availability, disaster recovery, and reliability engineering practices. Good to have: Advanced EKS operations: Cluster upgrades, node groups, autoscaling, RBAC/IRSA, network policies, persistent storage, and disaster recovery. AWS multi-account governance: AWS Organizations, Control Tower, cross-account IAM roles, SCPs, CloudTrail, Config, GuardDuty, and Security Hub. About Clinisol Tech Inc. Clinisol Tech Inc connects businesses with skilled professionals who drive results. We combine industry expertise with a personalized approach to deliver the right talent quickly and efficiently. Our mission is to accelerate careers and companies by connecting exceptional technology talent with innovative organizations that value people.

Application deadline: Nov 11, 2026 AWS Commerce Platform team is hiring a cleared Software Development Engineer to join the team. This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems. In this role, you will join a team of highly talented engineers that build software solutions for Amazon's billing, metering, and optimization systems in air-gapped cloud environments as well as services and tooling to improve how we operate these services. This role enables you to deliver impact at scale, and the work you do unlocks the latest in billing and cost management capabilities for all of our US ADC customers. A successful Software Development Engineer is focused on building services that operate at the intersection of business problems and technology strategy. They balance constraints and consider the long-term implications of their design decisions. We are looking for a Software Development Engineer who is passionate about leading the architecture and development of application software that helps keep Amazon billing systems running efficiently and securely. On any given day, we use Java, Rust, Python, Lambda, DynamoDB, and CloudFormation, as well as other public AWS services and a host of Amazon-internal tools. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities In this role, you'll design, develop, and maintain the software systems that power Amazon's billing, metering, and optimization systems in air-gapped cloud environments. You'll build scalable solutions and collaborate with senior engineers on system architecture while mentoring junior team members. You'll own features end-to-end: gathering requirements, designing APIs and data models, implementing robust solutions, and driving operational excellence through monitoring, alarming, and on-call support. You'll work to improve data quality, reduce manual interventions in automated pipelines, and eliminate operational toil. You'll partner with cross-functional teams to integrate infrastructure data across planning, design, and deployment workflows. Above all, you'll care deeply about data integrity and system reliability, building solutions that scale with AWS's rapid growth while maintaining the accuracy our customers depend on. BASIC QUALIFICATIONS- Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional) - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CO, Denver - 143 400.00 USD annually

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The mission of Agentic WorkSpaces is to enable AI agents to work the way people do. Across the industry, agents are becoming digital workers. Like every team member, they need identity, permissions, governance, and a trusted place to do their work. The Agentic WorkSpaces Client team builds the front door to that place: the client software people use to securely access and operate the desktop and web applications their businesses rely on, and the software AI agents will use to do the same. We build the client software that runs on customer endpoints across major operating systems and browsers, and we own critical parts of the connection and user experience for Amazon WorkSpaces, a highly scaled system that delivers remote desktops and streamed applications to millions of end users every day. We are evolving that same client experience to carry agentic workloads, which require secure access, enterprise permissions, governance, observability, and human oversight. Learn more: We are looking for a Software Development Engineer to design, build, and operate customer-facing capabilities across native and web clients, advancing the client that enterprise agents will work through while supporting a system that millions of people depend on today. Industry consensus points to a growing share of cloud desktop workloads becoming agentic in the coming years. We build the client software those desktops are reached through, which is exactly why the Agentic WorkSpaces Client team can lead that shift. Today, most of the team's work is building and running the clients our users rely on; the agentic share of the roadmap grows from there. Your work includes secure session connectivity, client lifecycle, cross-platform architecture, user experience, performance, software updates, operational telemetry, and integrations supporting human and agentic workflows. You will own features from design through production, collaborate with teams across AWS, solve complex issues in customer-managed environments, and maintain a high bar for security, reliability, and operational excellence. Agentic WorkSpaces offers a combination most roles don't: the early build-out of agent infrastructure on the scale of a mature AWS service. You will not be starting from a blank page, and you will not be maintaining a system in stasis. You will shape the evolution of Amazon WorkSpaces by extending a proven system rather than rewriting it. The problems span operating systems, web technologies, networking, security, and distributed services, and your work will directly influence how people and AI agents securely interact with enterprise applications. We are passionate about our customers and love to solve their most critical problems. If you enjoy hard problems that span the client and the cloud, and want to work with a talented, inclusive team that prides itself on a great work environment, join us. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience leading large, fast-moving projects - Experience handling ambiguous or undefined challenges through strong problem solving abilities - Experience architecting, securing, and operating Amazon Web Services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Job Description Job Title : Go Platform Engineer Location: Jersey City, NJ 07310 Employment Type: W2 Contract Only Experience Required: 5-7+ Years Interview Process: 2 Rounds Round 1: Hands-on Technical Coding Round 2: Scenario-Based Interview Job Description We are looking for a Senior Go Platform Engineer with strong hands-on GoLang development experience to build and maintain cloud foundation services and platform solutions for public cloud environments. The ideal candidate should have a strong software development and DevOps/SRE background, with expertise in GoLang, API development, multithreading concepts, and CI/CD practices. The role primarily focuses on backend API and platform development, with no UI or web development responsibilities. Candidates must demonstrate strong hands-on coding skills. Previous candidates have fallen short due to limited coding experience and a background focused more on infrastructure administration or SRE operations rather than software development. Required Skills & Qualifications Strong hands-on experience with GoLang (Golang) development and coding. Experience developing and building APIs using GoLang. Strong understanding of multithreading and concurrency concepts. Experience working in DevOps/SRE environments. Hands-on experience with CI/CD pipelines, Jenkins, and IAM. Basic working knowledge of Kubernetes; Kubernetes experience is preferred. Experience building and supporting cloud foundation services and platform solutions. Strong software development background with the ability to write, troubleshoot, and optimize code. Experience working across the software development lifecycle. Nice-to-Have Skills Experience with AWS, particularly Amazon EKS. Experience with Terraform. Python development experience. Additional Qualifications & Responsibilities Strong expertise in Amazon Web Services (AWS) and Microsoft Azure technologies, architecture, and design techniques. Experience working across large-scale environments involving multiple operating systems and infrastructure platforms. Ability to contribute to large-scale enterprise programs and serve as a technical resource across teams. Multi-skilled with expertise across the software development lifecycle and associated tools. Strong understanding of Agile methodologies and the ability to contribute to and support Agile teams. Ability to mentor and coach others in at least one technical skill. Strong understanding of: Continuous Integration and Continuous Delivery (CI/CD). Test-Driven Development (TDD). Cloud Development. Application resiliency and security. Ability to stay updated on emerging technologies and industry trends and apply them to support business objectives. Ability to influence the adoption of new technologies and best practices across engineering teams. Ideal Candidate Profile A senior, hands-on GoLang engineer with strong API development and coding capabilities, supported by experience in DevOps/SRE and cloud environments. The candidate should be comfortable developing backend platform services, working with Kubernetes-based environments, and contributing to enterprise-scale cloud infrastructure initiatives.

Join the AWS EC2 Nitro team building the foundation of cloud computing at unprecedented scale. EC2 Nitro powers the world's largest and fastest-growing compute cloud through ground-up virtualization design built on fully custom hardware, firmware, and applications. Our platform supports Intel, AMD, and Amazon's Graviton processors while setting industry standards for security and performance. The EC2 Nitro local storage team is seeking an experienced Software Development Engineer to build virtualized, hardware-accelerated solutions for EC2 disk instances at global scale. Our platforms support workloads requiring high-performance read/write access to massive local datasets, including relational and NoSQL databases, analytics engines, search platforms, and data warehousing systems that power state-of-the-art AI/ML infrastructure. This role offers unique opportunities to work across the full technology stack-from low-level hardware optimization to high-level frameworks. If you are passionate about solving complex performance optimization problems at massive scale while directly influencing product strategy, this position provides the perfect opportunity to make significant impact on the infrastructure powering modern cloud computing and AI/ML workloads. Key job responsibilities The ideal candidate is expected to have a solid understanding of computer science fundamentals and embedded concepts and expertise in C, C++, Java, Rust or similar development in a Linux environment. Experience with Linux package management, version control systems, automated build processes, and software unit testing is required. A day in the life We place a high value on work-life balance. We believe striking the right balance between your personal and professional life is critical to lifelong happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal life. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, SANTA CLARA - 193 500.00 USD annually

Application deadline: Nov 11, 2026 The Frontier ADC team is at the forefront of delivering the AWS GenAI and Agentic AI service portfolio to our customers in GovCloud and isolated environments. We are dedicated to pushing the boundaries of what is possible in this rapidly evolving field, leveraging the power of cloud computing and the latest advancements in artificial intelligence and machine learning technologies. With a focus on expanding Frontier AI services across GovCloud and isolated regions, driving automation investments, and delivering innovative solutions, we are at the forefront of modernization. Our teams are innovating new ways of building massively scalable distributed systems and delivering the next generation of cloud computing across the GenAI and Agentic AI service portfolio. We support the GenAI and Agentic AI service portfolio including services like Amazon Bedrock, Amazon Quick, Amazon Bedrock AgentCore, and Kiro. We are seeking a Software Development Engineer II who can think big and simplify solutions to complex problems, all while ensuring our customers continue to have the best experience possible! A successful Software Development Engineer II joining the team will be an innovator, building solutions and working closely with Amazon's largest and most demanding government customers to address their specific needs across a suite of Frontier AI services in GovCloud and isolated environments. They will drive the resolution of technical issues and work diligently to improve the customer experience. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities The ideal candidate will: • Be great fun to work with. Our company credo is "Work hard. Have fun. Make history". The right candidate will love what they do and instinctively know how to make work fun. • Have strong Linux & Networking Fundamentals. The ideal candidate will have deep experience working with Linux, preferably in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You regularly take part in deep-dive troubleshooting and conduct technical post-mortem discussions to identify the root cause of complex issues. • Have strong software and systems skills. The ideal candidate will have deep experience working with systems in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You are comfortable facilitating deep-dive troubleshooting and leading technical post-mortem discussions to identify the root cause of complex issues. • Love to solve problems. The ideal candidate will love leading teams to solve difficult technical problems related to AWS service builds and operations in GovCloud and isolated environments. You have a solid understanding of systems design, operations, automation, and process improvement. • Think Big. The ideal candidate will work on projects building and deploying solutions across GovCloud and isolated regions. You will strive to build a culture to improve and streamline processes to allow for work on a massive scale. A day in the life As a Software Development Engineer II in Frontier ADC, you will build innovative solutions, expand services into GovCloud and isolated regions, and improve our operations to provide resiliency and the best experience for our customers. You influence technical strategy and architectural decisions within the team and with partner teams and make data-driven decisions. Successful candidates will be expected to show leadership on strong Bias for Action, Invent and Simplify, Insist on the Highest Standards, and Deliver Results. You will develop, build, and operate AWS Frontier AI services that enable customers to leverage generative AI and agentic capabilities in secure environments. Our engineering teams support services running in GovCloud and isolated regions, creating unique engineering challenges and opportunities for innovation. The Frontier ADC team is responsible for diving deep to resolve operational challenges, innovating to automate operational tasks, building solutions for our customers, supporting execution of various security campaigns (blocked software, host patching), and parity programs. As a Software Development Engineer II you will: • Work cross-functionally to foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues. • Love to code. Whether it's building tools in Java or solving complex system problems in Python, the ideal candidate will love using technology to solve problems. • Think Big. The ideal candidate will build and deploy solutions across thousands of devices. You will strive to improve and streamline processes to allow for work on a massive scale. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. BASIC QUALIFICATIONS- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 3+ years of software development engineer or related occupational experience - 2+ years of Object Oriented Design experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CO, Denver - 143 400.00 USD annually

Job Description IT Enterprise Cloud Architect Richmond, VA, Hybrid 26-00538 Richmond, VA area - Local or Drive-in Candidates Only No C2C / No Subcontractor /No H1B, or Visa Transfer candidates TM Floyd is seeking an experienced IT Enterprise Cloud Architect for a contract opportunity supporting enterprise cloud strategy and technology transformation for a leading organization in Richmond, VA.We're looking for a strategic architecture professional who can connect business objectives with secure, scalable, reliable, and cost-effective cloud solutions. This is an opportunity to influence enterprise-wide cloud direction, establish architecture standards, and guide major cloud transformation and modernization initiatives. What We're Looking For: 10+ years of IT experience, including significant enterprise or cloud architecture responsibility. Strong experience with AWS and/or Microsoft Azure (knowledge of both is preferred). Experience developing enterprise cloud strategies, architecture roadmaps, reference architectures, and technology standards. Background in cloud transformation, hybrid cloud, application modernization, and enterprise solution design. Knowledge of cloud security, governance, IAM, networking, infrastructure as code, CI/CD, and cloud financial management. Ability to evaluate architectural tradeoffs, influence technical decisions, and communicate recommendations to executive and technical stakeholders. Experience within large-scale enterprise environments or regulated industries is highly desirable. Work Location & Schedule: Hybrid: One week remote / one week onsite Occasional travel may be required. Important: This is an enterprise architecture leadership role focused on strategy, design direction, and governance. It is not a people-management or hands-on engineering position. Interested or know someone who may be a great fit? Please reach out directly or send me a message to discuss the opportunity!