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A global financial institution is seeking a Senior Software Engineer to join its Equity Derivatives technology team.
This opportunity is ideal for engineers who enjoy solving complex technical problems and building high‐performance systems that directly support front‐office trading. You'll work in a highly collaborative environment, partnering with traders, quants, product teams, and fellow engineers to deliver innovative, resilient, and scalable software for a leading markets business.
Responsibilities
- Develop creative, reliable software solutions for a front‐office Equity Derivatives platform
- Collaborate with product owners, traders, sales teams, quants, and engineering peers to deliver high‐quality features
- Analyze business requirements and implement solutions within an Agile/Scrum framework
- Support production systems, applying strong technical judgment to improve stability, performance, and user experience
- Champion modern engineering practices and emerging technologies across the broader engineering community
- Participate in building an inclusive, collaborative, and diverse team culture
Qualifications
- 5+ years of professional software engineering experience
- Strong expertise with Java/JVM, including the modern Java ecosystem and Spring Boot
- Experience building front‐end applications with TypeScript/React
- Solid understanding of object‐oriented design, microservice architecture, and clean code principles
- Proficiency across the full SDLC, including testing, automation, and CI/CD
- Familiarity with Agile methodologies, application resiliency, and secure software development
- Strong communication skills and experience partnering with cross‐functional teams
Preferred Skills
- Experience working on financial systems or with derivative products (convertible bonds a plus)
- Knowledge of publish/subscribe messaging technologies such as Kafka, AMQP, or AMPS
- Experience developing desktop applications with C# / WPF
- Exposure to relational databases (e.g., Sybase)
- Understanding of cloud environments and distributed systems
Title- Sr. Azure Solutions Architect
Location- Dallas, TX- Onsite
Type- Fulltime
Job Description:
AgreeYa Solutions is hiring a permanent Senior Azure Solutions Architect to anchor our growing Azure practice. This is a high-impact, client-facing role that spans the full engagement lifecycle — from structured cloud readiness assessments and gap analysis through hands-on architecture design and implementation delivery.
The successful candidate will lead our Azure infrastructure engagements across multiple client accounts, beginning with a structured cloud readiness assessment and transitioning into ongoing architecture and delivery responsibilities as the practice grows. This role requires equal comfort operating as a trusted advisor, assessment lead, and delivery architect — adapting to the engagement phase and client context.
Responsibilities
1. Cloud Readiness Assessment & Advisory
Lead structured, evidence-based Azure cloud assessments aligned to Microsoft Cloud Adoption Framework (CAF) and Security-first SDLC principles:
Conduct current-state Azure tenant reviews across all platform domains: tenant topology, management group hierarchy, subscription structure, RBAC model, and policy framework.
Assess identity and access configurations including Microsoft Entra ID, Privileged Identity Management (PIM), Conditional Access policies, and GitHub/Azure DevOps RBAC.
Evaluate security posture using Microsoft Defender for Cloud, Zero Trust alignment, vulnerability management, and network exposure analysis (NSGs, firewall rules, public vs. private endpoints).
Perform regulatory compliance gap assessments against NYDFS Part 500, SOC2 Trust Services Criteria, and other applicable frameworks, producing risk-rated gap registers.
Review IaC and CI/CD maturity including Terraform state management, drift detection, pipeline health (Azure DevOps / GitHub Actions), and non-prod to prod promotion workflows.
Assess monitoring and observability stacks: Azure Monitor, Log Analytics, Application Insights, alert coverage, ITSM integration, and MTTD/MTTR benchmarking.
Evaluate backup and DR configurations, RTO/RPO alignment, recovery runbook completeness, and business continuity readiness.
Review FinOps maturity: cost governance, resource tagging, reserved instance utilization, and savings plan coverage.
Produce executive-ready deliverables: current state reports, gap registers, remediation roadmaps, Target Operating Models (TOM), and C-level presentation decks.
Define objective go-live entry criteria and identify critical blockers that materially increase breach, outage, or compliance exposure.
2. Azure Platform & Infrastructure Architecture
Design and govern Azure platform environments for client workloads with a Terraform-first, pipeline-driven approach:
Define and maintain reference architectures across all stack layers: identity (Entra ID / Auth0 / Okta CIC), application (App Service / AKS), PaaS (Key Vault, Front Door / WAF, API Management), networking, data, storage, and monitoring.
Architect isolated, per-environment landing zones (QA, Stage, Prod) including VNets, subnets, NSGs, Private Endpoints, and firewall rules enforcing least privilege and environment segmentation.
Lead the design of Terraform IaC modules and environment promotion patterns (QA → Stage → Prod), including remote state management, state isolation, and change control governance.
Partner with DevOps engineers to design Azure DevOps multi-stage YAML pipelines for infrastructure and application deployments, including approval gates, rollback strategies, and release tagging.
Architect highly available, secure, scalable, and cost-optimized solutions incorporating backup, disaster recovery, and business continuity strategies.
Define cloud security standards: network segmentation, Zero Trust architecture, WAF and DDoS protection, encryption, and key management.
Set observability standards: App Insights/Log Analytics workspaces, KQL-based alerting, dashboards, Sentinel workbooks, and WAF policy-as-code.
Translate business, compliance, and regulatory requirements (including NYDFS MFA and security mandates) into concrete Azure architecture decisions and technical guardrails.
3. Client Engagement & Delivery Leadership
Operate as a trusted technical advisor and delivery lead across client engagements:
Serve as the primary Azure technical point of contact for clients, including C-suite and senior technical stakeholders.
Lead architecture reviews, technical workshops, and go/no-go decision sessions with structured evidence and documentation.
Translate business and compliance requirements into actionable architecture decisions and phased remediation roadmaps.
Provide Level 2 architectural support during critical delivery windows including rollouts, environment rebuilds, production cutovers, and hypercare periods.
Document architecture decisions, diagrams, runbooks, and ensure these are reflected in implementation and quality gates.
Mentor and guide junior engineers and offshore team members, providing technical direction and code/configuration review.
Support structured MSP onboarding activities including RACI definition, responsibility demarcation, and takeover domain identification.
Required Qualifications
8+ years of hands-on experience designing and implementing solutions on Microsoft Azure, with at least 5 years in an architect or technical lead capacity.
Deep expertise across core Azure services including:
Compute: Azure Web Apps, App Service, Azure Kubernetes Service (AKS), Azure Functions
Networking: VNets, NSGs, Private Endpoints, Azure Front Door, WAF, VPN/ExpressRoute
Integration & API: Azure API Management, Service Bus, Event Grid
Data & Storage: Azure SQL, Cosmos DB, Storage Accounts (Blob, Queue, Table)
Security: Key Vault, Microsoft Defender for Cloud, Sentinel, Azure Policy
Identity: Entra ID (Azure AD), PIM, Conditional Access
Observability: Azure Monitor, Log Analytics, Application Insights, KQL
Proven experience architecting and governing Terraform-based infrastructure in Azure, including module design, remote state backends, environment isolation, and promotion workflows.
Strong background with Azure DevOps (Repos, Pipelines, Artifact Feeds) and CI/CD patterns for both application and infrastructure, including multi-stage YAML and environment approvals.
Demonstrated experience conducting structured cloud assessments, gap analyses, and producing risk-rated findings and remediation roadmaps aligned to frameworks such as Microsoft CAF, CIS, or NIST.
Solid understanding of identity and access management including Entra ID, OAuth/OIDC flows, MFA enforcement, RBAC, and CIAM solutions (Auth0 / Okta CIC).
Working knowledge of regulatory and compliance frameworks applicable to cloud environments, particularly NYDFS Part 500 and SOC2 Trust Services Criteria.
Strong knowledge of cloud security best practices: Zero Trust, network segmentation, WAF and DDoS, encryption, key management, and vulnerability management.
Experience defining monitoring, alerting, and observability strategies using Azure Monitor, Log Analytics, Application Insights, and SIEM tools such as Sentinel.
Excellent communication and documentation skills, with proven ability to produce executive-level presentations, architecture decision records, and go/no-go assessment reports.
Preferred Qualifications
Familiarity with FinOps practices including cost governance, resource tagging strategy, reserved instance analysis, and Azure cost management tooling.
Experience with ITSM integration and tooling including ServiceNow workflows (incident, change, problem management) in cloud-managed services contexts.
Knowledge of additional monitoring platforms such as ScienceLogic or similar enterprise observability tools.
Experience with database migration strategies and tools (Flyway, Liquibase) integrated into CI/CD for Azure SQL or Cosmos DB.
Background working in regulated or audit-focused industries (financial services, healthcare, insurance) with knowledge of evidence requirements for MFA enforcement, penetration testing, and environment parity.
Experience designing and reviewing Target Operating Models (TOM) for Managed Services onboarding and MSP readiness assessments.
Relevant certifications: Azure Solutions Architect Expert, Azure Administrator Associate, Azure DevOps Engineer Expert, or Security Engineer Associate.
Familiarity with Microsoft Cloud Adoption Framework (CAF) landing zone patterns and Well-Architected Framework review methodology.
The Senior Project Manager is accountable for the delivery of all IT components related to the Capital Construction Projects Portfolios ranging from small medical & Admin facility renovations to building new Medical Office Buildings.
DUTIES:
- Gathering IT related project requirements
- Determining the IT scope of work
- Developing IT estimates for each project and submitting for approval (obtain project funds)
- Creating & maintaining project schedules
- Monitoring and managing project finances (forecast project cashflow monthly)
- Coordinating all IT activities with internal Facilities Construction teams, IT partners and contractors
- Report on project status
Examples of the technologies included in these projects are WAN (Wide Area Network), LAN (Local Area Network), VoIP (Voice over IP), Wireless, Desktop, Server deployment and assisting the Biomed Teams integrate and deliver critical applications essential to company’s Medical Centers.
In addition to the projects described above, other work may include the Technology Infrastructure Refresh Portfolio. The scope of this work is the replacement of network hardware that is ‘End of Life’ or no longer vendor supported. This work is performed in live ‘Brownfield’ environments and requires coordination across multiple IT groups and communication with clinical and administrative departments.
The Senior Project Manager is responsible for delivering these projects according to scope, schedule and budget and to do so, will be required to learn and become familiar with KP-ITs program and process methodology and execute it within the established KP and KP-IT organizational framework.
The Senior Project Manager must be a self-starter who can work independently and with little supervision. This role requires you to be a dynamic, confident and energetic team leader with the ability to drive project teams while building a working rapport with your resources and creating full functioning cohesive teams that will work well together to meet & exceed all project goals
Essential Functions:
- Responsible for overseeing all aspects of a project in the Greater San Francisco Service Area and South Bay program, ensuring the delivery of IT solutions and services that provide the highest value in support of the Capital Construction and Infrastructure Portfolios
- Project planning, Project financial management, Project schedule management, Project resource management
- The ability to manage highly complex, large-scale project with overlapping schedules with multiple inter-dependencies is expected
REQUIREMENTS:
- 5+ years of information technology experience that includes a broad understanding of IT infrastructure projects through professional services consulting and/or project/program management
- Demonstrated track record in leading multiple teams through both overlapping and sequentially related projects
- Demonstrated hands-on experience with MS Excel and Project
- Demonstrated experience with ServiceNow and various supplier portals (OneLink is what is used here)
- Demonstrated strong customer focus and client relationship building skills
- Must possess excellent verbal and written communication skills
- Capital Construction experience is preferred & project management in a healthcare environment is a plus
- PMP Certification is a plus but not a must.
Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
Full-time Producing, Travel & Logistics Coordinator is a front facing position that requires great phone skills and great attention to detail. This position involves coordinating in person and Zoom meetings, conference calls with The HistoryMakers advisory boards and taking extensive notes as well as the scheduling of video production crews for video oral history interviews of African Americans across the country as well as regional receptions. This position is responsible for scheduling approximately twenty (20) interviews with potential HistoryMakers every other week or forty (40) interviews per month and involves weekend availability during execution of the trips. Each video production crew is comprised of a videographer and oral historian. Candidates must have prior experience scheduling video production crews and possess strong multi-tasking, administrative, organizational, phone and database management skills. THIS POSITION MUST WORK ON SITE OUT OF OUR OFFICES IN CHICAGO'S SOUTH LOOP. IT IS NOT HYBRID AND/OR REMOTE. 60 Minutes did a feature on The HistoryMakers. Click on the link below:
SKILLS
1-3 years of customer service, video production, or travel agency experience.
Type 65+ words per minute
Professional voice and phone presence.
Strong administrative and the project management skills and the ability to multi-task and take detailed and accurate minutes
Strong expertise in Microsoft Office Suite (Microsoft Word, Access, Excel, Power Point)
Event planning experience.
Knowledge and experience with FileMaker Pro
Excellent file and desktop management skills
Prior experience with a start up a plus and the desire to work in a non-profit environment mandatory
The HistoryMakers
The HistoryMakers, the nation’s largest African American video oral history archive( ), is a one-of-a-kind collection, housed permanently at the Library of Congress. Its website ( ), accessed by millions worldwide, is sited in Wikipedia and used as a “go to” reference tool. Its digital archive( ) has been licensed by colleges, universities, K-12 schools and public libraries for use by faculty, students and patrons and is growing in popularity in the wake of COVID19 and the focus on online learning. Within the next few years, The HistoryMakers will become the digital repository for the Black experience: providing much needed content, role models, success pathways and frameworks for a 21st century citizenry that has become increasingly less tolerant, divisive and economically and educationally disparate.
Please send resumes to:
The HistoryMakers
1900 S. Michigan Ave. | Chicago, IL 60616
- Technical role focused on supporting market data applications and data feeds.
- Works in a cross-business technology unit collaborating with teams across APAC, EMEA, and North America in a follow-the-sun support model.
- Focus on issue resolution, process improvements, and product rollouts across multiple asset classes.
Key Responsibilities
- Provide support for core Market Data services and applications including:
- Open Bloomberg, LSEG Workspace, FactSet, Arcontech Excelerator, Market Axess and other platforms
- Provide technical support for broker and trading applications, including:
- Tradeweb, ICAP, Brokertec, Tullett Prebon, Tradition
- Coordinate vendor software packaging, including: Scripting, QA testing, Production releases
- Monitor production environments proactively and manage system changes.
- Participate in process improvement and hygiene metrics reviews.
- Manage daily operations, incident resolution, and change management activities.
- Work with engineering and build teams for smooth transition from project delivery to BAU (Business as Usual).
- Collaborate with external vendors to drive application strategy and support delivery.
- Take full ownership and accountability for issues and ensure vendors resolve root causes.
Essential Skills
- Experience with virtual desktop environments and streaming platforms.
- Strong proficiency in Microsoft Office tools.
- Knowledge of TCP/IP networking and connectivity troubleshooting.
- Strong communication skills to interact with traders, support teams, and vendors.
- Experience handling technical troubleshooting and high-priority incidents.
- Understanding of change management frameworks and ticketing systems.
- Knowledge of scripting languages such as:
- PowerShell
- Visual Basic
- Strong documentation and knowledge management practices.
- Self-motivated with strong time management and customer-focused approach.
- Ability to work independently and within teams under pressure.
Compensation: $175-225k Responsibilities: Define and execute the Quality Engineering strategy for Back Office applications supporting Fixed Income trading.
Partner with Technology, Operations, Risk, and Compliance to align QA with business priorities and regulatory requirements.
Build and manage a high-performing QE team across manual, automation, and performance testing disciplines.
Establish QA governance frameworks with clear accountability, traceability, and reporting across all back office test cycles.
Drive adoption of test management tools to ensure complete coverage and defect traceability.
Define and enforce QE best practices, including test automation frameworks, regression coverage, and shift-left practices.
Oversee end-to-end testing for settlements, reconciliations, clearing, payments, regulatory reporting (MiFID, TRACE, CFTC), and other post-trade processes.
Ensure test coverage includes STP (straight-through-processing), fail/exception handling, SWIFT messaging, and integration with custodians/clearing houses.
Expand performance, resilience, and failover testing for high-volume transaction flows.
Drive automation strategy to increase regression efficiency, scalability, and accuracy across back office platforms (e.g., Calypso, Murex BO, or proprietary systems).
Leverage modern test harnesses, CI/CD pipelines, and AI-driven test frameworks for smarter, faster, and more reliable validation.
Define and maintain key quality metrics (defect leakage, automation coverage, cycle time, escape rate).
Deliver executive-level reporting via dashboards (Power BI, Tableau, or equivalent).
Implement continuous improvement loops to reduce production escapes and improve testing efficiency.
Qualifications: Required: 12+ years in Quality Assurance/Engineering, with at least 5+ in a Director/Head of QE role in Capital Markets.
Strong background in Fixed Income products (Govies, Corporates, Repos, Derivatives) and Back Office workflows (settlements, clearing, custody, payments).
Demonstrated success in building QE functions in complex, regulated environments.
Proven track record of implementing large-scale automation and QA governance frameworks.
Deep knowledge of post-trade systems and integrations (e.g., Calypso, Murex, Client, Impact, GLOSS, DTCC, SWIFT).
Strong expertise in test automation frameworks (Java/Python + Selenium, Cypress, REST/SOAP service testing, performance tools like JMeter/LoadRunner).
Familiarity with DevOps and CI/CD pipelines (Jenkins, GitLab, Azure DevOps).
Data validation skills (SQL, Excel, reconciliation tools).
Exceptional leadership, mentoring, and communication skills.
Ability to engage with Front Office, Back Office, Risk, Operations, and Regulators at senior levels.
Strategic mindset with hands-on problem-solving capabilities.
Preferred: Advanced degree (MBA, MS in Computer Science/Engineering, or Financial Engineering).
Prior experience in a sell-side investment bank or hedge fund back office environment.
Knowledge of regulatory frameworks (Dodd-Frank, MiFID II, CFTC, EMIR).
Experience with AI/ML in test automation and predictive analytics for QA.
Our internal consulting agency is seeking a Senior Workfront & Adobe Fusion Architect to join their team in an ongoing contract or full-time capacity if desired.
Role Type: Senior Individual Contributor (Non Manager)
Team: Adobe Practice - Operational Readiness & Optimization
Location: Remote within the US| Travel ~1020%
Hours: Weekly hours can be flexible, up to 40 hours/week.
Role Overview
We are hiring a Senior Workfront & Adobe Fusion Architect to serve as an embedded consulting delivery resource within our Adobe Operations & Workflow practice. This role is both strategic and extremely hands on designed for someone who can assess each client's individual systems, make intelligent architectural recommendations, and personally build and validate the solution in Workfront and Fusion.
The ideal candidate has architected and led Workfront/Fusion solutions at scale, guided enterprise decisioning, defined standards, and influenced governance while also being a practitioner who lives in the platform (configuring workflows, building Fusion scenarios, optimizing reporting, and troubleshooting issues directly). This role exists because we need someone who can do what our strongest practitioners do: lead AND build.
Key Responsibilities
Delivery Capacity + Hands On Execution (Critical)
" Hands-on Workfront configuration: request queues, routing logic, templates, custom forms, dashboards, portfolio/program structures, access models, layout templates, and operational governance.
" Hands-on Fusion integration development: building, testing, troubleshooting, and optimizing scenarios using OOTB modules, APIs, JSON patterns, and webhooks.
" Hands-on workflow optimization: improving routing logic, reducing bottlenecks, validating end to end processes, and tuning operational throughput.
" Hands-on advanced reporting: creating text mode fields, calculated metrics, KPI models, operational dashboards, and portfolio-level reporting frameworks.
" Hands-on troubleshooting & UAT: replicating issues, validating fixes, documenting requirements, and ensuring production readiness.
" Hands-on prototyping: demonstrating feasibility by building live or near live prototypes in Workfront/Fusion.
Architecture & Platform Leadership
" Serve as a Workfront Architect with 3+ years of architecture/technical lead experience in enterprise environments.
" Own the architecture, configuration, and integration strategy across multiple business units with both global standardization and necessary BU flexibility.
" Define and govern enterprise Workfront standards (objects, workflows, templates, statuses, routing logic).
" Design scalable workflows across portfolios, programs, and delivery teams.
" Advise clients on customization vs. standardization decisions to maintain governance and usability.
" Ensure Workfront operates as a scalable enterprise platform, integrated with DAM, AEM, and broader MarTech/ops ecosystems.
Integrations & Automation
" Lead integrations with AEM Assets (DAM), AEM (CMS), and enterprise systems requiring metadata, content, or workflow coordination.
" Design and implement fusion automation using Workfront Fusion, APIs, JSON payloads, and webhooks.
" Optimize integrations for operational efficiency, error-handling, governance, and scalability.
Business-Facing Consulting & Advisory
" Lead discovery sessions, operational assessments, and roadmap development.
" Make strategic recommendations based on each clients unique systems, constraints, and operational maturity.
" Guide architecture decisions, governance frameworks, and executive-level alignment.
" Facilitate workshops with PMO, marketing ops, creative ops, and cross-functional teams.
Practice Development & Enablement
" Create reusable accelerators: text mode libraries, workflow templates, Fusion patterns, reporting models, maturity frameworks, and governance checklists.
" Upskill internal teams on hands-on Workfront/Fusion delivery methods and enterprise best practices.
" Support cross-solution alignment with AEP, AEM, Marketo, Campaign, and related teams.
Client Enablement
" Deliver structured documentation, playbooks, process maps, and handoff materials.
" Establish intake committees, governance councils, and operational working sessions.
" Coach client teams toward self-sufficiency and sustainable platform ownership.
Required Qualifications
" Active Adobe certifications required:
o Adobe Workfront Core Developer Expert (AD0 E903) or Workfront Core Developer Professional
o Adobe Workfront Fusion Developer Expert (AD0 E907) or Fusion Developer Professional
" Must be a hands-on practitioner. Direct, recent configuration experience in Workfront and Fusion is non-negotiable.
" 3+ years in an architect or technical lead role, owning enterprise Workfront/Fusion solutions, standards, and integration strategy.
" 5+ years Workfront experience building complex configurations in large, multi-group or multi-instance ecosystems.
" 24+ years Fusion automation experience, including JSON/API integrations.
" Proven ability to make strategic recommendations based on client systems not just admin execution.
" Mastery of advanced reporting (text mode, calculated fields, KPI modeling).
" Excellent client-facing communication, discovery leadership, and BA documentation skills.
Preferred Qualifications
" Additional Workfront certifications (Administrator, Architect).
" Experience integrating Workfront with Adobe Experience Cloud (AEM, AEP, Marketo, Campaign).
" Familiarity with PMO frameworks (Agile/SAFe) or marketing/creative ops org design.
" Experience with Power BI/Tableau reporting pipelines.
What Success Looks Like
" Contribute meaningfully to the evolution of our Adobe practice by introducing scalable frameworks, repeatable assets, and delivery standards that raise our overall maturity and accelerate client outcomes.
" Faster delivery velocity through high-impact, hands-on execution.
" Scalable workflows adopted across teams with measurable reductions in operational friction.
" Fusion automations that stabilize operations and reduce manual effort.
" Clear governance increasing consistency, transparency, and efficiency.
" KPI/reporting frameworks that drive better decisions across creative, PMO, and operational teams.
In this position, you may have access to client or customer systems, confidential and/or proprietary information or data.
Benefits
Creative Circle's Freelance Employee benefits package includes eligibility for Minimum Essential Coverage (MEC) medical plan, dental/vision/term life package, discount prescription program, critical illness, accident, tele-behavioral health, and 401(k) plan. Sick leave is provided to Candidates whose assignment work location is in a state or city subject to sick leave laws. A Minimum Value (MV) PPO medical plan, Employee Stock Purchase Plan, and paid holiday eligibility are based on length and dates of service.Email Your Resume In Word To
Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply.
Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : MS14-1980602 -- in the email subject line for your application to be considered.
Meggan Sharma - Recruiter, National Delivery
For Creative Circle to represent you for this opportunity, you must be currently authorized to work in the United States without the need of employer sponsorship for a non-immigrant visa such as a H-1B, TN, or O visa. We do not support or provide training for STEM/OPT programs. Additionally, you must be physically located in and perform the work for our client in the United States.This is a new role.
This job was first posted by Creative Circle on 03/13/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.
This job was posted on 03/13/2026 and is open for 60 days
Creative Circle is an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Creative Circle will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. If you need a reasonable accommodation in the application process, please contact your Recruiter (the person you'll be interviewing with) or a member of our Human Resources team to make arrangements. United Healthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Creative Circle.
Copyright 1999 - 2026. CreativeCircle , Inc. All rights reserved.
Duration: 11 Months (Contract to hire)
Location: Columbia, SC
Onsite Requirements: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed.
Standard work hours: 8:00 AM - 5:00 PM
**Credit check will be required**
Job Summary:
Day to Day:
- A typical day will involve a mix of hands-on coding, architectural design, and research.
- The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
- This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
- They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
Team: The team is an innovative, collaborative, and empowering environment. We are building the next generation of AI solutions for the enterprise in a fast-paced, project-oriented setting. This is a multi-platformed environment that values creativity, continuous learning, and a customer-focused mindset. The new engineer will play a crucial role in shaping our AI strategy and building foundational tools and accelerators that will drive innovation across the company.
Job Requirements:
**This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.**
Required Experience:
Required Software and Tools (Hands on experience required):
- Python
- JavaScript/TypeScript
- AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
- AI Models (e.g. Claude, OpenAI, etc.)
- AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
- Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
- Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
- API Design
Python & AI/ML Libraries:
- Deep hands-on experience in Python for AI/ML development.
- Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
- Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
- Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
Minimum Required Education: Bachelor's degree-in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience
Minimum Required Work Experience: 6years-of application development, systems testing or other job related experience.
Required Technologies: 3-6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.
Nice to have/Preferred skills:
- Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
- Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
- Experience developing autonomous agents using cloud-based AI services.
- Experience with prompt engineering techniques and model fine-tuning.
- Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
- Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
Overview
Architects and builds the infrastructure and tooling that powers AI agent development across the Software Development Lifecycle (SDLC). Develops production-grade agentic systems, orchestration frameworks, and observability solutions that enable teams to build, deploy, and monitor reliable AI agents at scale. Plays a key role in defining and implementing the next generation of SDLC through AI-first innovation and comprehensive instrumentation.
What We're Looking For
You demonstrate sharp product sense for high-impact automation opportunities, technical taste in implementation decisions, and the ability to clearly articulate trade-offs. You know when to apply AI agent solutions versus simpler approaches and can explain the \"why\" behind architectural choices.
You excel at 0-to-1 (and 1-to-100) product development, comfortable operating in ambiguous environments where requirements emerge through experimentation and iteration rather than upfront specification.
Key Responsibilities
AI Agent Development & Automation:
• Develop production-grade AI agents that eliminate manual handoffs across the SDLC
• Create custom integrations and CLI tools that give agents deep understanding of internal systems and codebases
• Design comprehensive testing strategies to ensure agent reliability and output quality
• Implement \"Golden Path\" scaffolding that embeds organizational standards into new projects
• Build AI solutions that improve codebase navigation, documentation, and developer workflows
• Identify workflow bottlenecks and deliver measurable impact through intelligent automation
• Shape SDLC evolution by identifying AI-first opportunities and proving outcomes through experimentation
Agent Infrastructure & Platform:
• Architect and maintain production infrastructure supporting agent deployment, lifecycle management, and scaling
• Develop agent frameworks, templates, and SDKs that accelerate agent development
• Create governed Model Context Protocol (MCP) catalog enabling compliant agent-to-agent and agent-to-MCP communication
• Implement governance controls for agent behavior, permissions, and system access
Observability & Performance Analytics:
• Design and implement metrics, monitoring, and logging infrastructure for AI agents and development workflows
• Build dashboards that provide actionable insights into developer productivity, tool adoption, and agent performance
• Establish KPIs and measurement frameworks to quantify the impact of AI-powered automation
• Create alerting and anomaly detection systems to ensure reliability of agents and tooling
• Analyze telemetry data to identify optimization opportunities and guide strategic investment decisions
Collaboration & Impact:
• Partner across teams to drive adoption of AI-powered tooling and process transformation
• Stay current with LLM technologies and coach colleagues on AI-assisted development and automation best practices
• Rapidly prototype solutions to validate use cases and prove value quickly
• Communicate data-driven insights to stakeholders through clear visualizations and reports
Preferred Qualifications:
• 5-7+ years of software engineering experience building production systems
• Proven experience building agentic systems using LLM orchestration frameworks
• Hands-on expertise with AI-powered development tools (code assistants, AI-enhanced editors)
• Strong foundation in SDLC, system design, and internal tooling development
• Experience with observability tools and practices including metrics collection, logging frameworks, and dashboard development
• Full-stack technical proficiency:
• Languages: Java, Python, JavaScript/TypeScript
• Frameworks: Angular, Spring Boot
• CI/CD platforms and cloud infrastructure (AWS)
• Monitoring/observability tools (e.g., Prometheus, Grafana, CloudWatch)
• Passion for transforming software development through AI innovation and data-driven decision making
# LI-CGTS
# TS-2505
AI Ethics Specialist, Standards, Measurement & Governance | Just Horizons Alliance
Join us to define the standards that hold AI systems accountable.
The situation
Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.
We currently have a first version of the framework that is validated and in use. Now we're investing in the next phase: sharper indicator definitions, stronger construct validity, governance processes that hold up to external scrutiny, and measurements that work across domains from education to healthcare to finance.
This is the first dedicated hire to drive the standards and governance layer end-to-end.
What you'll actually do
Months 1–3: Learn the system
Work through the existing L4 indicator library with Sophia. Understand where definitions need tightening, which constructs require the most interpretation, and how the evaluation engine turns indicators into measurements. Start giving developers working definitions they can implement.
Months 4–6: Build the governance infrastructure
Lead the development of a versioning and change control process for the Index. Define disclosure policies. Formalize internal ethical oversight processes. Collaborate with domain experts in education, healthcare, and finance to validate indicators across contexts.
Months 7–12: Drive the standard
Be the person who gives definitive answers on construct interpretation. Manage the L4 indicator framework as a living, governed document. Represent the methodological rigor of the Index in external conversations with regulators, academics, and the organizations being evaluated.
Why this role is hard
You're working at the frontier of a field that does not have settled answers. There is no ISO standard for AI ethics measurement. The frameworks you're building will be contested by academics, challenged by the AI companies being evaluated, and scrutinized by regulators. You need to make defensible decisions under genuine uncertainty, document your reasoning clearly, and communicate it to people who will disagree.
The daily work involves uncomfortable specifics. What does \"sexually explicit content\" mean when an LLM is used in a youth education context—a tutoring app, a storytelling tool, an educational assistant? Where exactly is the boundary? You have to define it in terms a developer can implement and an auditor can verify.
The pace is weeks, not semesters.
You're probably the right person if
You've taken an abstract ethical principle and turned it into something a developer could build or a compliance team could audit
You understand NIST AI RMF or the EU AI Act at a working level — not awareness, but enough to argue about the details
You have external credibility in the field: publications, recognised work, advisory roles, or a title that carries weight
KYC, compliance, or governance experience is part of your background alongside ethics expertise
You work at the pace of decisions, not the pace of studies
You can hold a substantive conversation with a software developer about API behaviour and with a philosopher about construct validity — on the same day
You can read an inter-rater reliability methodology and understand what it means for your indicator definitions
You're probably not the right fit if
Your background is purely academic ethics — you've written and published but never operationalized anything
You need months of research before committing to a position on a specific indicator definition
You're primarily a communicator or writer about AI ethics rather than a practitioner of governance
You're based on the West Coast US or don't work in East Coast US or Western Europe time zones
You see \"working with developers\" as someone else's job
Hard Skills
These are the domain and technical capabilities you need going in — or need to be able to build up fast. You don't need to be an engineer. But you do need to learn quickly, including using AI tools to close knowledge gaps on the fly.
- NIST AI RMF and EU AI Act — working-level knowledge, not awareness. Enough to argue about the details and identify where a specific AI system fails to comply
- Construct operationalization — demonstrated experience translating an abstract ethical principle into a bounded, testable indicator that someone else can use
- Governance documentation — writing versioning policies, change control frameworks, and disclosure protocols that other people actually use day to day
- AI evaluation methodology — familiarity with how AI systems are benchmarked, where measurement goes wrong, and what validity means in a scientific context
- Basic technical literacy — able to read API documentation, understand what a model endpoint does.
- Statistical reliability concepts — inter-rater reliability, aggregation methods, and what it means for a measurement to be valid versus merely reliable
- KYC or compliance frameworks — experience building governance processes that have real enforcement teeth, not just principles documents that no one is held to
What you get
The role: Work directly with Sophia Zitman (AIEI Team Lead) as the person who owns the methodological integrity of the AI Ethics Index. Direct daily collaboration with the development team.
The comp: $110,000
The team: Small, split between ethicists and engineers. Interview panel: Janet Kang and Sophia Zitman.
The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones strongly preferred. Deliberate, rigorous culture.
The upside: You'll have built the governance foundation of what may become the globally referenced standard for AI ethics measurement. That is a genuinely consequential body of work.
