Stevens is a strategic advisory and technology firm that partners with companies on high-impact transformation and technology initiatives. We work directly with executive and technology leaders to solve complex problems, identify opportunities, and turn strategy into working solutions. We are looking for a highly experienced Enterprise AI Solutions Architect to support enterprise customer engagements on an hourly contract basis. Please read before applying This is a senior enterprise architecture role with a high bar for relevant experience. We are specifically looking for candidates who have worked within major U.S. enterprises, leading technology companies, established consulting firms, systems integrators, or comparable large-scale organizations. Experience consisting primarily of freelance projects, small startups, personal projects, or AI prototypes will not meet the requirements for this role. Candidates must: * Be a U.S. citizen and current U.S. resident. * Have substantial professional experience designing and delivering technology within large enterprise environments. * Have experience working directly with enterprise customers, stakeholders, or technology organizations. * Be able to participate in customer meetings during standard U.S. business hours. * Complete a technical architecture interview as part of our screening process. * Be prepared for Stevens to verify relevant employment history and professional experience before engagement. Please only apply if you meet these requirements. The Role Our engagements often sit at the intersection of business strategy, enterprise architecture, and emerging technology. We help customers identify where AI can create meaningful business value, determine what should actually be built, and provide the technical leadership needed to move from concept to production. This is not a salaried or full-time employment position. Architects work with Stevens on an hourly contract basis as project needs arise. Engagement scope and weekly hours may vary based on active customer projects. This is a senior, highly customer-facing role. You will work directly with customer technology leaders, engineering teams, and Stevens delivery teams to understand complex business problems, shape AI use cases, design solutions, guide proofs of concept, and establish the architecture required to take successful solutions into production. We are specifically looking for someone who understands enterprise application development and architecture, not simply AI models or cloud infrastructure. The model is one component of the system. You should be comfortable reasoning across applications, APIs, data, integrations, identity, security, cloud infrastructure, AI services, and production operations to design complete enterprise solutions. Your work may include * Leading technical discovery and architecture sessions with enterprise customers. * Translating business problems and AI opportunities into practical solution architectures and implementation plans. * Designing enterprise AI applications using LLMs, RAG, agents, tool use, structured and unstructured data, APIs, and modern cloud services. * Integrating AI capabilities into existing enterprise applications, data platforms, SaaS products, and business workflows. * Architecting solutions primarily within AWS, including Amazon Bedrock and SageMaker. * Evaluating models, platforms, frameworks, and architectural approaches against specific business and technical requirements. * Helping customers make build-vs-buy decisions across a rapidly evolving AI technology landscape. * Designing rapid proofs of concept while ensuring successful POCs have a realistic path to production. * Defining architecture across application services, APIs, data, model infrastructure, integrations, identity, observability, and cloud infrastructure. * Accounting for enterprise requirements including security, privacy, governance, scalability, reliability, performance, and cost. * Establishing appropriate approaches to AI evaluation, guardrails, monitoring, and production operations. * Working closely with engineers throughout implementation to ensure architectural decisions translate into high-quality working software. * Reviewing technical approaches, identifying risks, and helping engineering teams navigate architectural tradeoffs. * Presenting architecture recommendations and technical decisions to engineering teams, technology leaders, and senior customer stakeholders. This is not a role where you create an architecture diagram and hand it to someone else. We want architects who stay close to implementation, understand the consequences of their decisions, and can help a team navigate the difficult decisions that emerge as a solution gets built. You will have significant autonomy and ownership. A successful architect at Stevens can walk into an ambiguous problem, quickly understand the customer’s business and technology environment, identify the decisions that actually matter, develop a point of view, and confidently guide both the customer and delivery team toward a solution. Requirements * U.S. citizenship and current U.S. residency are required. * 7+ years of relevant professional experience across software architecture, solutions architecture, application development, engineering, or technical consulting. * Meaningful experience working within or delivering solutions for major U.S. enterprises, leading technology companies, established consulting firms, systems integrators, or comparable large-scale organizations. * Significant experience designing and delivering enterprise applications, platforms, or distributed systems. * Hands-on experience architecting and implementing generative AI applications beyond basic prototypes or isolated model integrations. * Experience taking applications or major technical initiatives from discovery and proof of concept through production. * Strong understanding of modern AI application patterns including RAG, agents, tool use, embeddings, vector search, model orchestration, evaluation, and guardrails. * Strong AWS architecture experience, including practical experience with Amazon Bedrock and SageMaker. * Experience working with commercial AI platforms and models including OpenAI and Anthropic Claude, along with familiarity with open-source models. * Strong understanding of modern application architecture, backend services, APIs, databases, data architecture, distributed systems, and enterprise integration patterns. * Experience integrating new applications and capabilities with existing enterprise systems and data sources. * Familiarity with cloud engineering, DevOps, MLOps, CI/CD, infrastructure as code, and production observability. * Strong understanding of security, identity, privacy, governance, reliability, scalability, and cost considerations in production enterprise systems. * Ability to make pragmatic architectural decisions within complex existing technology environments where replacing everything and starting over is not an option. * Ability to move comfortably between conversations about business requirements and detailed technical architecture. * Experience leading technical discovery, architecture workshops, and customer-facing solution design. * Strong written and verbal communication skills. * Confidence presenting recommendations, defending architectural decisions, and challenging assumptions with senior technology and business stakeholders. * Availability during standard U.S. business hours for customer workshops, architecture sessions, and meetings as needed. Experience at organizations such as major technology companies, cloud providers, Fortune 500 enterprises, nationally recognized consulting firms, or large systems integrators is strongly valued. The company name itself is not the qualification; we care about whether you have actually operated in sophisticated enterprise technology environments and solved problems at meaningful scale. An active U.S. government security clearance is not required but is strongly valued. Additional compensation may be available for individuals who hold and maintain an active U.S. government security clearance. Our Screening Process We maintain a high technical and professional bar because architects in this role represent Stevens directly with enterprise customers. Qualified applicants should expect: 1. Resume and experience review, with particular attention to enterprise architecture and delivery experience. 2. Initial screening conversation focused on your background, customer-facing experience, and recent enterprise work. 3. Architecture interview in which you will be asked to reason through an enterprise technology scenario, make architectural decisions, discuss tradeoffs, and explain how you would take a solution from discovery toward production. 4. Employment and professional experience verification before engagement. Please make sure the employment history and experience described in your Upwork profile, resume, and proposal are accurate and verifiable. Working With Stevens At Stevens, you will have the opportunity to work on sophisticated enterprise AI initiatives across multiple industries, work directly with customer technology leaders and engineering organizations, own meaningful architectural decisions, and stay close enough to implementation to see the solutions you design actually get built. We are building Stevens around the idea that a small, highly capable team can do exceptional work for sophisticated customers without introducing the bureaucracy that often comes with traditional consulting. We value good judgment, technical excellence, clear communication, intellectual curiosity, and pragmatic decision-making. We want people willing to challenge unnecessary complexity, recognize when a simpler solution is better, and say when AI is not the right answer. If your background is in enterprise-scale technology architecture and delivery, and you enjoy solving difficult problems directly with customers, we would like to hear from you.

We're looking for a senior AWS Cloud Migration Architect to lead end-to-end migration and modernization for a strategic automotive client's enterprise workloads. You'll own the full migration lifecycle: discovery, assessment, architecture, migration execution, and Day-2 operations, working directly with the customer's architecture and application teams. What you'll do: Lead AWS migration programs spanning infrastructure, applications, databases, DevOps, and security Run workload discovery, dependency mapping, and assessment (ModelizeIT, AWS Application Discovery Service, AWS Transform) Design AWS architectures across EC2, EKS, RDS, networking, IAM, and security Define R-line strategies (Rehost, Replatform, Refactor, Retire, Retain) per workload Build AWS Landing Zones, account structures, and IAM/security frameworks Lead cutover, stabilization, and Day-2 support Run architecture discussions directly with customer leadership (CIO/CTO level) Requirements: 10+ years overall IT experience, 6+ years hands-on AWS architecture/migration Deep expertise: EC2, EKS, VPC/networking, IAM, security, RDS, storage/backup, monitoring Proven large-scale AWS migration program leadership Experience with AWS MGN/CloudEndure and AWS DMS Experience with discovery/assessment tools (ModelizeIT or similar); AWS Application Discovery Service; AWS Transform a plus Strong customer-facing communication skills; comfortable presenting to enterprise architecture and leadership AWS Solutions Architect certification (or equivalent) preferred Automotive/manufacturing industry experience a plus

We are looking for an experienced AI Architect / Senior LLM Engineer to design and build an enterprise-grade AI platform for the healthcare industry. You will lead the architecture and implementation of intelligent AI solutions that improve clinical operations, automate administrative workflows, and enable healthcare professionals to access trusted medical knowledge through advanced AI technologies. The ideal candidate has hands-on experience building production-ready Agentic AI systems, Multi-Agent architectures, RAG pipelines, and LLMOps using modern AI frameworks and cloud platforms. Responsibilities Design and develop scalable Agentic AI solutions for healthcare applications. Build Multi-Agent Systems using LangGraph, CrewAI, or AutoGen. Develop enterprise Retrieval-Augmented Generation (RAG) pipelines for medical knowledge retrieval. Create AI agents for clinical knowledge assistance, document intelligence, workflow automation, and care coordination. Build and integrate MCP servers and custom AI tools with internal healthcare systems. Optimize prompt engineering, retrieval strategies, and response quality for high accuracy. Implement AI guardrails, evaluation pipelines, monitoring, and observability for production deployments. Deploy secure, scalable AI infrastructure on AWS using Infrastructure as Code and CI/CD best practices. Collaborate with engineering, product, and healthcare stakeholders to deliver reliable AI solutions. Required Skills 5+ years of experience in AI/ML or Generative AI development. Strong expertise in Python and backend API development. Experience with LangGraph, CrewAI, AutoGen, or similar multi-agent frameworks. Hands-on experience with AWS Bedrock, Azure OpenAI, or Vertex AI. Strong understanding of RAG architectures, vector databases, embeddings, and semantic search. Experience with Pinecone, Weaviate, pgvector, or similar vector databases. Knowledge of LLMOps, evaluation frameworks, prompt engineering, and AI observability tools. Experience with Docker, Terraform, CI/CD, and cloud-native deployments. Familiarity with healthcare compliance, security, and responsible AI practices is highly preferred. Preferred Technologies LangGraph CrewAI AutoGen AWS Bedrock Claude GPT-4o Gemini Pinecone pgvector LangSmith Arize Phoenix FastAPI Docker Terraform GitHub Actions MLflow Nice to Have Experience developing AI-powered healthcare platforms. Knowledge of healthcare workflows, clinical documentation, or medical knowledge systems. Experience integrating AI solutions with enterprise applications through APIs and MCP. Familiarity with AI governance, model evaluation, and production monitoring. If you are passionate about building enterprise-scale AI solutions that transform healthcare through Agentic AI and Generative AI, we'd love to hear from you.

AWS DEVOPS & AI TECHNICAL PROJECT MANAGER We are seeking an experienced AWS DevOps & AI Technical Project Manager to manage approximately 25 AWS DevOps engineers working simultaneously on multiple AI and cloud-transformation projects. This is a hands-on leadership role for someone who understands AWS architecture, DevOps delivery, and AWS AI services—not a general project manager who only schedules meetings and updates spreadsheets. RESPONSIBILITIES • Manage a distributed team of approximately 25 AWS DevOps engineers • Oversee multiple AWS AI and cloud projects running concurrently • Organize delivery into two-week Agile sprints • Work directly with developers to define tasks, owners, priorities, dependencies, estimates, and acceptance criteria • Confirm that deliverables and deadlines are realistic before committing to clients or leadership • Conduct sprint planning, daily standups, backlog reviews, sprint reviews, and retrospectives • Monitor progress daily and identify schedule risks before deadlines are missed • Proactively resolve technical blockers, staffing constraints, unclear requirements, and cross-team dependencies • Escalate problems promptly with a clear explanation of the issue, impact, available options, and recommended solution • Maintain accurate project plans, sprint boards, documentation, status reports, and delivery forecasts • Coordinate communication among developers, architects, customers, AWS representatives, and company leadership • Ensure that completed work meets technical requirements, acceptance criteria, security standards, and client expectations • Hold team members accountable while maintaining a productive and professional working environment • Improve our project-management processes as the volume and complexity of projects continue to grow REQUIRED AWS AND DEVOPS EXPERIENCE Candidates must have significant practical experience managing AWS and DevOps projects, including familiarity with: • Amazon Bedrock • Amazon Bedrock Agents and AgentCore • Amazon SageMaker • Generative AI and agentic AI architectures • Retrieval-Augmented Generation (RAG) • AWS Lambda • Amazon API Gateway • AWS Step Functions • Amazon EventBridge • Amazon S3 • Amazon DynamoDB • Amazon OpenSearch Service • Amazon ECS, EKS, and EC2 • Infrastructure as Code using Terraform, AWS CloudFormation, or AWS CDK • CI/CD pipelines and automated deployment processes • Git-based development workflows • AWS IAM, security, logging, monitoring, and cost management The successful candidate does not need to write production code every day, but must understand the technology well enough to challenge estimates, identify dependencies, recognize risks, communicate with senior engineers, and determine whether reported progress is credible. COMMUNICATION AND PROJECT-MANAGEMENT EXPECTATIONS We are looking for someone who communicates clearly, directly, and consistently. You must be able to: • Translate business and customer requirements into clear technical deliverables • Work with developers to confirm exactly what will be delivered and when • Break large objectives into manageable sprint tasks • Ensure every task has an owner, due date, definition of done, and measurable acceptance criteria • Ask detailed questions when requirements, estimates, or progress reports are unclear • Identify bottlenecks early and create a specific recovery plan • Communicate delays immediately rather than waiting until a deadline is missed • Provide concise written updates showing completed work, current work, risks, blockers, and next steps • Lead meetings efficiently and document decisions, action items, owners, and deadlines • Communicate professionally with technical teams, executives, clients, and AWS stakeholders REQUIRED QUALIFICATIONS • 5+ years of technical project or program management experience • Significant experience managing AWS cloud and DevOps projects • Experience managing large distributed engineering teams • Experience coordinating multiple projects and workstreams simultaneously • Strong understanding of Agile delivery and two-week sprint management • Experience using Jira, ClickUp, Asana, Monday.com, Azure DevOps, or similar tools • Excellent written and spoken English • Strong leadership, organization, documentation, and problem-solving skills • Ability to work with teams across multiple countries and time zones • Demonstrated ability to recover delayed or at-risk technical projects PREFERRED QUALIFICATIONS • AWS certification, such as AWS Certified Solutions Architect, DevOps Engineer, Machine Learning Engineer, or AI Practitioner • Experience delivering generative AI, RAG, or agentic AI solutions • Experience working for an AWS Partner • Experience with AWS-funded customer programs or AWS Marketplace solutions • Technical background in cloud engineering, software development, or DevOps • Experience managing teams located in the United States, India, Pakistan, or Bangladesh WHAT SUCCESS LOOKS LIKE • Two-week sprints begin with clearly defined and properly assigned work • Developers understand their deliverables, deadlines, and acceptance criteria • Leadership has an accurate, real-time understanding of every project • Problems and bottlenecks are identified early and addressed quickly • Commitments are based on validated engineering estimates • Deliverables are completed on schedule and meet client expectations • Project documentation and sprint boards remain accurate and current HOW TO APPLY Please provide: 1. A summary of your AWS, DevOps, and AI project-management experience 2. The largest engineering team you have directly managed 3. An example of how you managed multiple projects using two-week sprints 4. An example of a delayed or blocked project you helped recover 5. Your experience with Amazon Bedrock, AgentCore, SageMaker, RAG, or agentic AI 6. The project-management tools you use and how you track deliverables, dependencies, and blockers 7. Your AWS certifications, if applicable 8. Your working hours and time zone 9. A short video or Loom introduction explaining why you are a strong fit Please begin your proposal with the words “AWS DELIVERY” so we know you read the complete posting. This is expected to be a long-term engagement for the right person.

Senior Golang / Web Application Developer Position Type: (Remote) Position Overview We are seeking a highly skilled Senior Golang / Web Application Developer to join our small, agile engineering team. In this role, you will architect, build, and deploy high-performance microservices capable of processing massive datasets. You will tackle complex technical challenges, transform high-level requirements into scalable software solutions, and thrive in a fast-paced, high-demand environment. Key Responsibilities • Architecture & Development: Design, build, and maintain robust backend microservices in Golang to process large-scale datasets. • Database & Workflow Design: Architect efficient relational database structures (PostgreSQL, AWS RDS) and design automated data workflows. • Problem Solving & R&D: Research, prototype, and implement innovative solutions for complex software architecture and data integration challenges. • Cross-Functional Collaboration: Translate intricate system requirements into functioning software components while actively collaborating with a tight-knit technical team. • Project Delivery: Independently manage priorities, handle multi-tasking demands, and deliver high-quality code against firm project deadlines. Qualifications & Technical Skills Required Experience & Core Skills • 7+ years of hands-on experience in production-level Golang development. • Extensive experience designing and deploying microservices architectures handling big data. • Advanced database design skills with PostgreSQL and AWS RDS. • Proficient in API protocols and framework design: gRPC, REST, and GraphQL. • Deep operational expertise in Linux environments and version control (GitHub). • Strong background in data integration and normalization. • Familiarity with Geospatial data standards. Core Competencies • Proven ability to thrive in a high-demand, deadline-driven environment. • Excellent communication skills and a collaborative approach in small-team settings. • Exceptional organizational, multi-tasking, and time-management capabilities. • Must be eligible and willing to undergo a U.S. Government Security Clearance background investigation. Preferred Qualifications (Nice-to-Have / Bonus) • Active U.S. Government Security Clearance (or prior experience on Department of Defense / Government software projects). • Proficiency in additional languages (C++, Python). • Hands-on experience with Docker and Kubernetes orchestration. • Knowledge of Geospatial data visualization and Geofusion techniques. • Experience with Video Processing, Computer Vision, or AI/ML frameworks.

Location: Remote – United States Only Type: Contract, with potential for extension Experience: 10+ years preferred Health Data Movers looking for a Senior Founding Full Stack AI Platform Engineer to help architect and build a scalable healthcare AI platform from the ground up. This is a hands-on engineering role for someone who can own architecture, backend, frontend, AI workflows, healthcare interoperability, and cloud infrastructure. The ideal candidate combines strong full-stack SaaS engineering experience with healthcare AI/interoperability and agentic AI expertise. Key Responsibilities Architect and develop scalable, production-grade full-stack SaaS applications. Build high-performance backend services using Python and FastAPI. Develop modern web applications using React / Next.js. Design and optimize PostgreSQL and Redis data architectures. Build and maintain REST and GraphQL APIs. Design cloud-native systems using AWS or Azure. Containerize and orchestrate applications using Docker and Kubernetes. Design and implement healthcare interoperability solutions using FHIR R4. Work with Clinical Quality Language (CQL) and eCDS workflows. Build AI-powered workflows and agentic systems using LangGraph. Design scalable microservice and distributed-system architectures. Collaborate with product, clinical, and engineering stakeholders to translate requirements into production solutions. Take ownership of technical decisions and contribute to a 0→1/founding engineering environment. Required Skills 10+ years of enterprise software/full-stack SaaS development preferred Strong Python and FastAPI Strong React / Next.js PostgreSQL / Redis REST / GraphQL AWS or Azure Docker / Kubernetes FHIR R4 CQL eCDS LangGraph Strong system design and scalable cloud architecture experience Highly Preferred Healthcare Experience Candidates with experience in any of the following will be strongly preferred: Healthcare interoperability Healthcare AI Medicare Advantage HEDIS Risk Adjustment Clinical Documentation Improvement (CDI) CMS Stars Value-Based Care Epic Oracle Health Athenahealth eClinicalWorks AI / Agentic AI Experience Strong preference for candidates who have built: Multi-agent AI systems Agentic workflows using LangGraph LLM-powered healthcare applications RAG pipelines Clinical AI/copilots Tool-calling and workflow orchestration AI evaluation and observability systems Production LLM applications Ideal Candidate You are someone who can operate as a senior hands-on architect and builder, not just an individual contributor focused on one layer of the stack. You should be comfortable taking an ambiguous problem, designing the architecture, writing production code, deploying it to the cloud, and working directly with stakeholders to iterate toward a scalable product. Location Requirement US-based candidates only. Remote position. To Apply Please provide: Updated resume Brief summary of your healthcare AI/interoperability experience Years of experience with Python/FastAPI Years of experience with React/Next.js Experience with FHIR R4, CQL, and eCDS Experience with HEDIS / Risk Adjustment / Medicare Advantage Experience building LangGraph / multi-agent AI systems Hourly rate Current US location and time zone Availability for an interview Please highlight specific production projects involving FHIR, HEDIS, Risk Adjustment, CQL, eCDS, or Agentic AI.

Title Deploy & HIPAA-secure a small Node.js backend on AWS Lambda + Bedrock (code already written — need deploy, hardening, and security sign-off) About the project I run an early-stage healthcare SaaS: AI-assisted clinical documentation for independent physicians. The apps are built and the backend code is already written — I need an AWS/HIPAA expert to deploy it, lock down the security, review the code, and give me a written sign-off that it's fit to handle real patient data (PHI). This is a focused engagement, not a big build. Most of the code exists; your job is to deploy it correctly and make it audit-ready. What's already done (I'll provide) A stateless Node.js (ESM) AWS Lambda function that calls Claude on Amazon Bedrock (via ConverseStream) and streams the response back. It stores nothing. Session auth via Clerk (already in production). A least-privilege IAM policy (draft), an env-var template, and a deploy runbook. My AWS account already has an active AWS BAA and Bedrock access confirmed working (Claude Sonnet 4.6 tested). The work Deploy the Lambda (Node 20+) with a Function URL in RESPONSE_STREAM (streaming) mode — streaming is required because notes take 30–60s+ and must not be blocked by an API Gateway timeout. IAM least-privilege: scope the execution role to invoke only the specific Bedrock model(s) — no static keys, no wildcards. Secrets & config: handle the Clerk secret and model IDs properly (no secrets in code). No PHI in logs: verify CloudWatch and Bedrock model-invocation logging never capture request bodies or generated notes. TLS / CORS: confirm HTTPS and lock CORS to my app's origin. Review my code for security and correctness (it's a strong draft, not audited — I need your professional eyes on it, not just a deploy). Written security sign-off that the system is appropriate for PHI. Must-have Proven HIPAA / PHI experience on AWS — please cite a specific system you took to production. AWS Lambda, IAM, Bedrock (or equivalent PHI-on-AWS) — including response streaming on Lambda. Comfortable reviewing Node.js backend code, not just deploying it. Clear communication with a non-technical founder. Nice-to-have AWS certifications (Solutions Architect; Security – Specialty). Experience taking a healthcare system through an actual HIPAA audit. To apply, please include A HIPAA/PHI system you deployed on AWS — what it was, your role, the stack. Briefly: how you'd keep PHI out of logs and scope an IAM least-privilege role for Bedrock. Your quote for this scope (deploy + hardening + code review + written sign-off). Notes Willing to sign an NDA; because this touches PHI infrastructure you may also need to sign a Business Associate Agreement (BAA) — comfort with that is required. I'll share the code + runbook with shortlisted candidates (not publicly). I value someone who explains their work — I want to understand and maintain my own system afterward.

We are seeking a Full-Stack Developer & AI Engineer who can bridge the gap between our clients and development team by directly understanding customer needs, translating business requirements into technical solutions and supporting the delivery of high-quality software products. This role requires strong technical expertise combined with excellent communication skills. The ideal candidate will be comfortable meeting with clients face-to-face, analyzing their workflows, identifying challenges and collaborating with developers to ensure the final product accurately reflects customer expectations. Responsibilities: - Meet directly with clients (in-person and/or virtual meetings) to understand their business goals, technical requirements and desired outcomes. - Conduct requirement-gathering sessions by asking the right questions, analyzing existing processes and identifying opportunities for software improvements. - Translate client discussions into clear technical specifications, user stories, feature requirements and development tasks. - Communicate customer requirements effectively to the development team and ensure alignment throughout the project lifecycle. - Collaborate with developers, designers and project managers to prioritize features and resolve technical challenges. - Provide technical guidance and recommendations based on full-stack development and AI capabilities. - Assist clients in understanding possible solutions, project timelines and technical trade-offs. - Review completed features with clients, collect feedback and coordinate necessary improvements. - Help identify opportunities to integrate AI technologies, automation and modern software solutions into client workflows. - Maintain clear documentation of requirements, project updates and client feedback. Qualifications: - Proven experience as a Full-Stack Developer, Software Engineer, Technical Consultant, or similar role. - Strong knowledge of modern web development technologies (React, Node.js, Python, Java, .NET, databases, cloud platforms, etc.). - Experience developing or integrating AI-powered applications, automation workflows, or machine learning solutions is a plus. - Excellent communication and interpersonal skills with the ability to interact professionally with clients. - Ability to explain complex technical concepts in a simple and understandable way. - Experience gathering requirements, writing technical documentation and working with development teams. - Strong problem-solving skills and the ability to understand business needs from a technical perspective. - Comfortable attending client meetings and building strong customer relationships. Preferred Experience: - Previous experience in client-facing software consulting or solution architecture. - Experience managing software projects from requirement discovery through delivery. - Knowledge of SaaS platforms, APIs, cloud infrastructure and AI integrations. - Ability to balance customer expectations with technical feasibility. About the Role: This position is ideal for a developer who enjoys both technology and human interaction. You will play a key role in understanding what customers need, designing practical solutions and ensuring developers have the clarity needed to build successful products. Your ability to connect business problems with technical solutions will directly impact customer satisfaction and project success.

We're scaling out a cloud security function across a multi-cloud footprint (Azure, AWS, GCP) that's grown faster than its guardrails. Looking for someone who can jump into a live, somewhat messy environment and start reducing risk on day one — this isn't a role where you'll be handed a neat backlog and told exactly what to do. The work: Mapping out what's actually running — clusters, storage, identities — across several cloud accounts and providers, and figuring out where the exposure is Locking down Kubernetes environments that are reachable by outside parties (control plane access, RBAC gaps, network policy) Retiring long-lived credentials and access keys in favor of proper workload/managed identity Rolling out org-wide policy guardrails carefully — since a heavy-handed policy can knock over a production workload that real customers depend on Getting logging and monitoring centralized without letting the bill spiral Writing Terraform to make future customer onboarding repeatable instead of one-off manual setup Who this fits: You've worked hands-on in at least two of Azure/AWS/GCP — not just certs, actual production time You know your way around Kubernetes security — exposure, access control, isolation between workloads You write real Terraform, not just toy examples You're comfortable with identity work — managed identities, workload identity, least-privilege access You've set up or tuned cloud logging (Log Analytics, CloudTrail, GCP Audit Logs, etc.) with an eye on cost You can operate with minimal oversight — async communication, few meetings, high trust Bonus points: exposure to a CNAPP tool like Wiz, and experience in environments where external customers have direct hands-on access to infrastructure. Commitment: roughly full-time (~40 hrs/wk), remote, ongoing subcontract.

We are a corporate finance consulting firm that has recently launched an AI implementation business with a handful of clients and are looking to have an AWS expert on board to support managing custom application deployments.