Innotechfy

Format: remote, full-time, long-term contract 

Rate: $25–35/h (contractor, net)

 Hours: strong overlap with US Eastern / Central business hours Client: North American SaaS company serving the public sector (procurement, budgeting, payments, grants), 3,600+ organizations 

About the role The company is expanding its AI/ML product line: AI-powered features, intelligent automation, agentic pipelines and LLM integrations. You will join the Security Engineering team and own AI security end-to-end, from threat modeling agentic systems to defining secure development practices that engineering teams follow.

 What you will do

 - Own AI security projects from concept to delivery across the AI/ML lifecycle

 - Assess and mitigate AI-specific risks: prompt injection, data poisoning, model integrity, adversarial attacks, agentic AI threats

 - Evaluate and secure agentic AI systems: multi-agent architectures, tool use, autonomous pipelines

 - Build and maintain security tooling, automation and controls across AI/ML pipelines and infrastructure

 - Define secure AI development practices across the SDLC with Architecture, Product, Platform, DevOps and IT 

- Contribute to AI governance: policies, risk assessments, responsible AI frameworks 

- Write technical security documentation for AI systems 

Requirements

 - 6+ years in security engineering / architecture in a SaaS environment 

- Strong AppSec and security architecture for microservice, cloud-native and serverless applications 

- Security tooling and automation built as code; GitOps and continuous security and compliance

 - Hands-on experience securing AI/ML or LLM-based systems

 - Familiarity with OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act

 - Understanding of agentic AI risks: autonomous agents, tool orchestration, memory, multi-agent coordination 

- English C1: you will lead security initiatives with US teams and write policies 

Nice to have 

- LLM security, model red-teaming, AI threat modeling

 - Securing agents built with LangChain, AutoGen or CrewAI

- AI governance programs, risk registers, responsible AI policies

 - Certifications: ISC2 AI Security, CISSP, CCSP, CSSLP

Location: remote. Candidates must be able to work during US 

Pacific Time business hours (GMT-7 to GMT-8). US, Canada and Latin America preferred.

Format: remote, full-time, long-term 

Rate: $30–40/h (contractor, net), long-term contract 

Company: fast-growing, well-funded US product company (developer tools / data platform) 

About the role 

You will join the cloud infrastructure team responsible for the platform everything else runs on. This is not a "keep the lights on" role: the goal is to turn a large, fast-growing stateful system into a predictable, well-automated platform. Scale: petabytes of data, thousands of cores, constant ingestion, multi-region and multi-account AWS.

 What you will do 

- Operate EKS clusters across several environments (Karpenter, Cilium, ArgoCD / GitOps) 

- Manage a multi-account AWS organization: provisioning, networking, IAM, cross-account connectivity 

- Maintain and evolve the Terraform / Terragrunt IaC platform and its CI pipelines 

- Improve tooling for deploys, schema changes, backups, restores and incident response

 - Remove repeat operational pain through automation and self-healing systems 

- Keep cloud spend under control 

- Take part in on-call, with a focus on making incidents rarer 

Requirements 

- Deep production experience with Kubernetes (EKS preferred) at large scale

 - Strong experience running production infrastructure on AWS across multiple accounts (IAM, networking) 

- Terraform or Terragrunt at scale, including module design and state management

 - Solid Linux knowledge (disk, memory, networking, failure modes) - Experience supporting stateful systems (databases, queues, storage)

 - Comfortable owning systems end-to-end, including on-call - Fluent English 

Nice to have 

- ArgoCD and GitHub Actions 

- Multi-region infrastructure 

- Building infrastructure services for AI agents 

To apply, please answer briefly in your cover letter: 1. Where are you physically based, and do you have the right to work in the US without sponsorship? 2. The largest Kubernetes / AWS setup you have operated: size, your role, and the stack. 3. Your expected rate (USD/h), and are you comfortable with a long-term contract engagement?

Location: candidates must be physically based in the US or Canada, with the right to work there. Full overlap with Central Time (US) business hours. 

Format: long-term contract, full-time 

Rate: $30–35/h (contractor, net) 

Start: early–mid December 2026 

About the project 

A US fintech/payments SaaS company is looking for a Senior Full-Stack Engineer to join a very small product team. The product is an AI-driven platform that helps subscription merchants recover failed payments. You will work directly with the lead engineer, with minimal hand-holding. 

What you will do 

- Build frontend features in React / Next.js (deployed on Vercel) 

- Build backend services in Python / FastAPI (microservices on AWS), including new payment provider integrations 

- Integrate external services (payment processors, email delivery) - Work with the product's AI components on the integration level - Cover merchant requests and support tasks with the lead engineer

 - Write your own automated tests 

Requirements 

- 5+ years of full-stack experience

 - Strong React and Next.js 

- Solid Python (FastAPI or similar) 

- Microservices on AWS, CI/CD basics 

- Experience integrating LLM / AI services into a product 

- Fluent, confident spoken English: you will talk to the team and merchants daily

 - Self-sufficient, clear written communication, calm with on-call style interruptions 

Nice to have

 - Payments / PSP integrations (Stripe, Braintree, Adyen) 

- Temporal or other workflow orchestration 

Hiring process Screening call → technical interview → client interview → possible short take-home (3–4 h) → contract.