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;
- 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;
- 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;
- 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;
- 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.
Our Benefits
- 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.
