- Fixed price
- Expert
- Est. budget: $200.00
We are looking for an experienced DevOps engineer to deploy our existing containerized application to AWS EKS. Project Scope: - Set up a production-grade AWS EKS cluster (using eksctl or Terraform) - Deploy our microservices application using Kubernetes manifests or Helm charts - Configure proper networking (Ingress, ALB), service discovery, and secrets management - Implement Horizontal Pod Autoscaler (HPA) and resource requests/limits - Set up monitoring (CloudWatch or Prometheus) and logging - Create a basic CI/CD pipeline using GitHub Actions that builds Docker images and deploys to EKS (staging + production environments with manual approval) - Document the full deployment process and provide handover Required Skills & Experience: - Strong hands-on experience with AWS EKS and Kubernetes - Proficiency with Docker and multi-stage Dockerfiles - Experience with Helm charts (preferred) - GitHub Actions for CI/CD - Terraform or eksctl for infrastructure - AWS services: ECR, IAM, VPC, ALB - Strong Linux and YAML skills Nice to Have: - Previous experience deploying Node.js / Python / Java applications - Knowledge of ArgoCD or Flux for GitOps
- Hourly: $3.00 - $200.00
- Expert
- Est. time: Less than 1 month, Less than 30 hrs/week
Project Type & Budget We left this open. You know what this entails and what your time is worth. Be reasonable. Can be hourly or fixed rate but we need to complete this today. NO AGENCIES, NO RECRUITERS, NO DIRECT OUTREACH About Us We are a growing digital solutions agency. We recently migrated our infrastructure from Linode to Google Cloud Platform (GCP). The initial migration was not optimal, and we are currently facing several configuration issues that require an experienced GCP architect or senior engineer to audit, fix, and optimize. We need someone who can hit the ground running, diagnose root causes quickly, and implement best-practice solutions. Scope of Work You will be responsible for reviewing and resolving the following specific issues: CDN Setup & Caching Review: Diagnose why cookies are preventing caching (cookies are currently not being set correctly or are being set to 0), and ensure proper edge caching is functional. Firewall Review & Hardening: Audit our current GCP firewall rules and provide actionable recommendations/implementations to secure the environment. DDoS Protection: Upgrade and properly configure our DDoS mitigation setup (Cloud Armor) to ensure robust resilience. Cloud-Level Logging: Shift our logging architecture. We need to enable and configure comprehensive logging at the GCP cloud level, moving away from server-level logging. Server Scaling Configuration: Review, optimize, and properly configure our autoscaling/instance group settings for seamless handling of traffic fluctuations. Required Skills & Experience Proven track record as a Senior DevOps / Cloud Engineer with deep expertise in Google Cloud Platform (GCP). Strong experience with GCP Cloud CDN, Cloud Armor, VPC Firewalls, and Cloud Logging (Stackdriver). Expertise in HTTP headers, cookie handling, and web caching mechanics. Experience troubleshooting post-migration infrastructure instability. Excellent communication skills and the ability to explain infrastructure choices clearly. Experience Level: Expert Timeline: Immediate start required with completion today.
- Hourly: $50.00 - $100.00
- Expert
- Est. time: 3 to 6 months, Less than 30 hrs/week
We are seeking an experienced Subject Matter Expert (SME) to support the development and review of technical e-learning content focused on cloud infrastructure, Windows Server hybrid services, and Azure development environments. Certifications / Expertise Needed Candidates should have direct experience with and ideally hold one or more of the following certifications: AWS Certified SysOps Administrator - Associate AZ-801: Configuring Windows Server Hybrid Advanced Services Developing Solutions for Microsoft Azure (AZ-204) Project Scope This role will primarily support asynchronous e-learning content development and technical validation, including: -Reviewing technical scripts for accuracy -Reviewing storyboards and visual technical flows -Providing SME feedback and corrections -Validating technical examples and enterprise realism -Assisting with terminology, workflows, and best practices -Supporting instructional design teams with technical clarification when needed Ideal Background We are looking for candidates with: -Real-world enterprise experience in AWS and/or Azure environments -Windows Server and hybrid infrastructure experience -Strong understanding of cloud administration and development workflows -Experience working with technical training or certification prep content (preferred but not required) -Ability to provide clear, concise asynchronous feedback Engagement Details: -Remote -Flexible / asynchronous work -Part-time contract support -Immediate availability preferred To Apply Please include: -Which certifications you currently hold -Relevant hands-on experience related to the certifications above -Your availability over the next few weeks -Any previous SME, instructional design, or e-learning experience We’re looking to move quickly and are currently identifying experts for upcoming production phases.
- Hourly: $15.00 - $35.00
- Intermediate
- Est. time: Less than 1 month, Less than 30 hrs/week
We are looking for a Python developer to help with a short-term project involving AWS integration and SP API development. The ideal candidate should have experience building API integrations, automation scripts, and cloud-based workflows. Responsibilities: - Develop Python scripts for API integration and automation. - Integrate with SP API and handle data exchange workflows. - Work with AWS services (Lambda, S3, EC2, IAM, etc.). - Manage API authentication, requests, responses, and error handling. - Debug issues and optimize existing workflows. Requirements: - Strong Python programming skills. - Experience with REST APIs and JSON data handling. - Hands-on AWS experience. - Experience with SP API or similar marketplace APIs preferred. - Ability to deliver clean, documented, and reliable code. Project Type: Short-term contract / freelance
- Hourly: $70.00 - $85.00
- Expert
- Est. time: More than 6 months, 30+ hrs/week
I need an expert senior software engineer that can provide consulting services around implementation best practices of LLM's and AI into existing application workflows. i.e. leveraging AI to extract data from a document as part of an ingestion pipeline.
- Hourly: $100.00 - $200.00
- Expert
- Est. time: More than 6 months, 30+ hrs/week
Well established web app development company serving the large event space. We have a very high demographic of clientele with televised events . We are looking for a Fractional CTO to guide our IT department. Specific experience with AWS and Security Compliance (PCI, SOC II, ISO) is critical for us, We are a small shop with a 5 full time engineers and a few part time folks. Honesty, Transparency and Great Communication skills are a must. We require this person to be located in the United States. Our most recent CTO Eric Dixon fraudulently represented that he was in the USA while he was in Vietnam. Please be honest with this.
- Hourly
- Expert
- Est. time: 1 to 3 months, Less than 30 hrs/week
We are looking for a senior engineer/consultant with experience building Next.js and Node.js applications hosted with AWS. The ideal candidate has worked on high-traffic sites with very large route/page counts and understands production performance, reliability, memory usage, caching, load testing, and cloud infrastructure. Experience required: Next.js / React Node.js AWS production hosting Docker/containerized deployments MongoDB OpenSearch or Elasticsearch Large-scale public sites with millions of pages We need help reviewing the application and infrastructure, identifying performance and reliability risks, diagnosing production issues, and recommending or implementing fixes. Please only apply if you have direct experience with this technology stack and websites at this scale.
- Hourly: $30.00 - $100.00
- Expert
- Est. time: 1 to 3 months, Less than 30 hrs/week
# Founding AI Operations Architect | Build the Future of Home Services ## About EPIC EPIC Septic & Service is one of the fastest-growing septic and wastewater companies in America. We are a veteran-owned organization with operations expanding across multiple states and an ambitious vision to become the first nationally recognized brand in the septic and wastewater industry. But we're not just building a septic company. We're building the operating system behind it. Our mission is to create the first AI-powered Virtual Back Office (VBO) for the septic and wastewater industry—combining customer service, dispatching, sales, inspections, maintenance agreements, reporting, and franchise support into a single scalable platform. We believe the future of home services is not simply hiring more people. We believe the future is AI-powered operations supported by exceptional field teams. ## The Opportunity We are seeking a Founding AI Operations Architect to help design, build, and implement the technology infrastructure that will power EPIC's next phase of growth. This is not a traditional software development role. This is a systems architecture and operational design role focused on leveraging AI, automation, and modern technology to transform how a service business operates. You will work directly with the founder and executive team to map processes, identify opportunities for automation, and build the foundation for a platform that can scale across company-owned locations, franchisees, and strategic partners nationwide. We are looking for a builder, an operator, and a visionary who enjoys solving complex operational challenges with technology. ## What You'll Build ### Customer Experience Systems * AI-powered call answering * Lead qualification and routing * Appointment scheduling * Customer communication workflows * Automated follow-up sequences ### Revenue Operations * AI sales agents * Estimate and proposal generation * Maintenance agreement enrollment * Payment collection workflows * Customer retention programs ### Field Operations * Dispatch automation * Technician scheduling * Inspection workflows * Service reminders * Work order management ### AI Agent Ecosystem * Customer Service Agent * Dispatcher Agent * Sales Agent * Collections Agent * Inspection Report Agent * Franchise Support Agent * Internal Operations Assistant ### Reporting & Intelligence * Executive dashboards * Operational scorecards * Franchise performance reporting * KPI monitoring * Business intelligence systems ## Current Technology Stack We are currently evaluating and implementing technologies including: * Jobber * Claude * UJET * Make * n8n * Zapier * Airtable * Retool * Custom APIs and integrations We are open to recommendations from the right candidate. ## First 90-Day Objectives ### Phase 1 – Discovery & Architecture * Audit current EPIC workflows * Map customer journeys from lead to completion * Identify automation opportunities * Design overall system architecture * Create implementation roadmap ### Phase 2 – MVP Development * AI phone answering workflows * Lead qualification automation * Scheduling automation * Estimate generation workflows * Customer communication systems ### Phase 3 – Virtual Back Office Launch * Dispatch automation * Maintenance agreement workflows * KPI dashboard implementation * Reporting framework * Initial franchise-ready operating model ## Ideal Experience You have successfully built or implemented: * AI agents and automation systems * Contact center automation * CRM integrations * Workflow automation platforms * Field service management systems * Operational software for service businesses * Multi-location or franchise support systems Bonus experience includes: * Jobber * ServiceTitan * Home service businesses * Plumbing, HVAC, electrical, septic, or wastewater industries * Franchise operations * AI-powered customer support systems ## What We're Not Looking For Please do not apply if you are: * A website designer * Looking for simple development tasks * An agency that outsources work * Someone without hands-on AI automation experience * Someone who has never built operational systems that drive real business outcomes We are looking for someone who can think strategically, architect systems, and execute. ## Why This Opportunity Is Different Most companies use AI to make small improvements. We are using AI to reimagine how an entire industry operates. Our goal is to create the first fully AI-enabled septic and wastewater platform in America and ultimately build the infrastructure that powers operators nationwide. This is an opportunity to help build something from the ground up, have a direct impact on the direction of the platform, and work alongside a team that is committed to innovation, execution, and long-term growth. ## To Apply Please include: 1. Examples of AI systems you have designed or built. 2. Relevant automation or operational projects. 3. CRM or field-service integrations you have implemented. 4. Your preferred technology stack and why. 5. How you would approach building an AI-powered Virtual Back Office for a service business. 6. What excites you most about this opportunity. We are looking for a long-term partner who wants to help build something meaningful, scalable, and industry-defining.
- Hourly
- Entry Level
- Est. time: Less than 1 month, Less than 30 hrs/week
## 3) M365 / Azure / AWS / Security Contractor – As Needed **Title:** M365 / Azure / AWS / Security Contractor – As Needed | MSP Projects, Hardening, Cloud, Remediation We’re a growing MSP building a bench of trusted contractors we can use for **as-needed Microsoft 365, Azure, AWS, and security-related projects** across our SMB client base. Our clients are primarily **small to mid-sized professional services firms**, and we’re looking for someone who can step in for cloud, security, and higher-level technical work when needed. This is **not a full-time role**. We’re looking for a contractor we can use for **short-term projects, escalations, hardening work, migrations, remediation, and occasional client-specific needs** as they arise. ### Typical work may include: * Microsoft 365 administration, cleanup, remediation, and best-practice improvements * Entra ID / Azure AD, MFA, Conditional Access, identity and access configuration * Exchange Online, SharePoint, OneDrive, and Intune-related support or project work * Azure infrastructure support, tenant cleanup, cloud migrations, and troubleshooting * AWS support for SMB environments including areas such as IAM, EC2, VPC, permissions, and cloud troubleshooting * Security hardening, remediation, post-incident cleanup support, and general security improvement projects * Reviewing client environments and providing technical recommendations, findings, and implementation support ### We’re particularly interested in contractors with experience in some combination of: * **Microsoft 365 / Exchange Online / SharePoint / OneDrive** * **Entra ID / Azure AD / Conditional Access / Intune** * **Azure** * **AWS** * **Microsoft Defender / M365 security hardening** * General security remediation, incident cleanup support, or cloud security improvement work ### Ideal experience: * Prior experience supporting **SMB environments** or working in an **MSP / multi-client environment** * Ability to work independently, document findings clearly, and communicate at a professional level * Comfortable stepping into projects that may last anywhere from a few hours to several days * Comfortable supporting environments in the **10–100 user range** * Able to work with a small MSP team and provide strong technical guidance where needed ### Engagement structure: We are specifically looking for someone open to: * **As-needed / project-based work** * Cloud, Microsoft 365, Azure, AWS, and security-related projects that may come up periodically rather than on a fixed weekly schedule * Remediation, hardening, migration, or escalation work as needed * Occasional after-hours work for planned cutovers, urgent remediation, or project deadlines ### When applying, please include: 1. Which of the following you work in most often: **Microsoft 365, Azure, AWS, security / hardening / remediation** 2. Whether you’ve worked with MSPs or supported multiple SMB client environments 3. The types of projects you’re strongest in today 4. Your availability for short-term project work or urgent escalations 5. Whether you’re comfortable coordinating over **Slack or Microsoft Teams** if we’re a fit
- Hourly
- Expert
- Est. time: 1 to 3 months, 30+ hrs/week
Principal Full-Stack Engineer (React Native • Node.js • AWS • AI Infrastructure) Mission Own the entire engineering stack and take FitCheck from its current state to a stable, production-ready application. You will architect, build, integrate, deploy, and lead all technical execution across mobile, backend, infrastructure, and AI services. Required Skills * React Native (Expo) * TypeScript * Node.js (NestJS) * PostgreSQL / Aurora * Kafka * Redis * REST APIs * WebSockets * AWS * EKS * ECS * EC2 * S3 * CloudFront * IAM * CloudWatch * Kubernetes * Docker * GitHub Actions CI/CD * Cloudflare * Firebase * GPU deployment on AWS * PyTorch model deployment * AI inference APIs * Authentication * Performance optimization * Security * Monitoring * Production deployments Responsibilities * Own the entire codebase. * Lead architecture decisions. * Build frontend and backend features. * Design and implement APIs. * Deploy and maintain AWS infrastructure. * Build and maintain CI/CD pipelines. * Deploy and manage GPU inference servers. * Optimize performance and scalability. * Review all code. * Fix production issues. * Ship new releases. * Coordinate any additional contractors if needed. * Take full ownership of technical delivery. Requirements * 10+ years software engineering. * Led production applications from development through launch. * Expert in React Native and Node.js. * Expert in AWS. * Experience deploying AI workloads on GPUs. * Experience scaling applications to hundreds of thousands of users. * Strong architectural and DevOps experience. * Excellent communication and ownership. Success Criteria Within the first 90 days: * Complete integration of frontend and backend. * Production-ready CI/CD. * Stable AWS infrastructure. * Reliable AI inference pipeline. * End-to-end testing. * Production deployment. * Documentation. * Clear engineering roadmap.