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, CloudFront, SNS, SQS, EventBridge, BedRock, DMS, EFS, API GW, RDS Proxy);
• IaC: Terraform, Ansible;
• Backend: Python, Django / Django REST Framework;
• Data Layer: PostgreSQL (RDS), OpenSearch, Amazon S3;
• Async & Messaging: Celery, Redis, RabbitMQ;
• Identity Management: Keycloak;
• Security: SOC 2, GuardDuty, Secrets Manager, KMS, ACM, Security Hub, Inspector, CloudTrail, Config, CloudWatch, SSM.

Responsibilities:

AWS Infrastructure & DevOps Ownership (Primary Focus)

• Ownership of everything in AWS;

• 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 (Graviton/ARM64 architectures);

• 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;

• Day-to-day security operations (SOC2-required).

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, BedRock, VPC, RDS, Route 53 and security stack) 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;

• Upper-intermediate level of English.

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.

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.