Senior AWS DevOps/Backend Python Engineer

About the Position

We are looking for a Senior AWS DevOps/Backend Python Engineer to join our team.

About the Project:

You will be working on a mobile-first communication and engagement platform designed for large-scale enterprise workforces (enabling secure real-time messaging, broadcasts, and community features). The system architecture is a highly resilient, multi-tenant cloud ecosystem featuring a fast-evolving Generative AI layer (built on advanced RAG models and vector databases). It processes high-volume transactional data, handles massive media asset delivery, and maintains strict industry compliance standards.

Our Tech Stack:

• Cloud: AWS (EC2, ECS/Fargate, Lambda, VPC)
• IaC: Terraform
• Backend: Python, Django / Django REST Framework
• Data Layer: PostgreSQL (RDS), OpenSearch, Amazon S3
• Async & Messaging: Celery, Redis, RabbitMQ

Responsibilities

AWS Infrastructure & DevOps Ownership (Primary Focus)

• Architect and implement fully automated, repeatable release pipelines, replacing legacy patterns with modern DevOps best practices
• Own the deployment and infrastructure orchestration for our Python-based AI agent runtime on AWS Lambda
• Design and lead the infrastructure roadmap for migrating core data storage to a highly scalable serverless architecture to handle peak traffic spikes efficiently
• Lead the transition of primary transactional databases to high-availability (Multi-AZ) configurations ensuring zero downtime
• Proactively manage cost optimization, infrastructure right-sizing, security monitoring, and compliance standards

Backend Engineering (Secondary Focus)

• Collaborate with the team to write clean, maintainable Python/Django REST Framework code to support platform feature growth
• Contribute to the optimization and maintenance of our AI assistant components and LLM orchestration layers
• Identify application bottlenecks, streamline data access layers, and implement automated code improvements
• Participate as an active member of our engineering syncs, contributing ideas during sprint planning and reviews

Requirements

DevOps & Cloud Expertise

• Extensive hands-on experience managing core AWS services (including EC2, ECS/Fargate, Lambda, VPC, RDS, and Route 53) within a commercial production environment
• Solid understanding of hosting, monitoring, and scaling serverless Python applications and event-driven architectures on AWS Lambda
• Strong commercial expertise in Terraform for building and maintaining infrastructure (experience with Ansible is a plus)
• A solid conceptual understanding of database scaling, multi-tenant pool models with metadata isolation, and serverless compute paradigms
• Prior experience working within, or maintaining infrastructure for, strict industry compliance frameworks (such as SOC 2 Type II) is highly desirable

Backend & Automation Capabilities

• Production-proven commercial experience with Python and Django / Django REST Framework sufficient to independently dive into an existing codebase, write features, and debug code
• Familiarity or hands-on experience with LLM orchestration frameworks (e.g., LangGraph or similar) is a strong plus
• Solid understanding of background task processing and message brokers (such as Celery, RabbitMQ, and Redis)
• Strong ability to optimize database queries, understanding Django ORM and avoiding performance pitfalls
• Ability to write custom Python scripts for data migrations, cloud automation, and interacting with cloud SDKs

We Offer

• Professional and career growth promotion
• Competitive salary
• Paid vacations and sick leaves
• Internal Medical Program
• Program for veterans
• Flexible working hours
• Regular corporate social activities
• Regular technical training at our office
• English courses
• Gym, etc.

About the Company

Анастасія Кітела

Recruiter

[email protected]

LinkedIn

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