Senior Backend Engineer (Python) to $7300

Who we are:
Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. 

About the Product:

Zenity is the first security governance platform built specifically for AI Copilots, Low-Code/No-Code applications, and business-led development. Enterprises today create thousands of automations, workflows, copilots, and integrations outside traditional R&D—introducing new, fast-moving security risks. Zenity provides organizations with:

• Real-time detection of misconfigurations, unsafe data flows, and policy violations
• Centralized visibility across hundreds of business-driven apps and automations
• Security guardrails for GenAI and LLM-powered tools
• Prioritized vulnerability reports and guided remediation

About the Role:

Zenity is hiring a Senior Backend Engineer to help drive the evolution of its security platform for AI and Low-Code ecosystems. This role is ideal for engineers who enjoy building large-scale, cloud-based systems with real enterprise impact.

You will work in a dynamic, Agile environment, contributing to the continuous development, scaling, and improvement of the platform.

Engineering Culture:

At Zenity, we work with an AI-first mindset. Our engineering teams actively leverage AI throughout the entire development lifecycle — from ideation and design to implementation and production.

If AI-assisted development is already embedded in your workflow and influences how you approach engineering challenges, this role was built for you.

Key Responsibilities: 

• Design and build backend services powering security governance for GenAI, Copilots, and Low-Code platforms
• Deliver end-to-end product features used by enterprise customers at scale
• Develop detection logic, data flows, and validation layers for complex workflows and automations
• Work with distributed systems, microservices, and cloud-native components
• Build and optimize SQL schema, queries, data models, and near-real-time processing pipelines
• Leverage AI tools (Copilot, Cursor, Claude Code, etc.) extensively as a regular and consistent part of the day-to-day development workflow: to accelerate design, implementation, refactoring, and debugging
• Participate in design reviews, collaborate closely with product and security teams, and contribute thoughtful technical decisions
• Implement security-focused backend solutions that help enterprises adopt AI responsibly

Required Competence and Skills:

• 7+ years of software engineering experience with proven delivery of production features
• 5+ years of Python, working on core product systems with real user impact
• Strong SQL fundamentals; hands-on experience with PostgreSQL/MySQL plus familiarity with MongoDB or DynamoDB
• Experience building distributed systems or microservices, including observability and CI/CD automation
• Experience working with AI agents or copilots (e.g. GitHub Copilot, Cursor, Claude Code, or similar) as part of your daily development workflow
• Understanding of AI-first development principles, such as prompt/context engineering, human-in-the-loop workflows, and validation of AI-generated code
• Solid cloud background (AWS preferred) and hands-on work with Docker and container-based deployments
• Experience contributing to high-scale or customer-facing products
• Experience designing ETL/ELT pipelines or large-scale data systems
• Strong communication skills in English, plus experience collaborating with distributed teams
• Ownership mindset and the ability to take a feature from design to production

Nice to have:

• Background in data engineering, streaming, or maintaining near real-time data pipelines
• Hands-on with Kubernetes
• Experience with workflow orchestration (Temporal, Cadence, or similar)
• Ability to work across multiple languages (Python + Go or Node.js)