Software Engineer

4 days ago


Kanpur, India AppSecure Security Full time

Backend Software Engineer – AppSecure Security About AppSecure AppSecure is a globally trusted offensive security company specializing in advanced penetration testing, red teaming, AI security, and automated security validation. For over 9 years, we have been the preferred partner for fast-growing startups and large enterprises across fintech, e-commerce, AI, SaaS, and telecom. We are known for our hacker-first methodology and our ability to simulate real-world attack scenarios that traditional security vendors cannot match. Our team includes top security researchers and engineers who have secured Amazon, PayPal, , Reddit, Uber, and leading APAC enterprises. Core Responsibilities API Development & Deployment: Design, develop, and maintain high-performance, asynchronous RESTful API endpoints using Python and the FastAPI framework to serve core business logic and AI Agent interactions. AI Agent Orchestration: Design and implement backend services and APIs to manage the lifecycle, state, and tool-use of AI Agents. AWS Infrastructure Management: Deploy, manage, and optimize scalable microservices on AWS using core services like Kubernetes,EC2, S3, RDS, and Lambda. Python Performance Tuning: Optimize Python code for performance, focusing on concurrency, asynchronous operations (async/await), and efficient memory utilization within FastAPI/Uvicorn/Gunicorn deployments. Data Handling & I/O: Design and implement solutions for efficient data ingestion, retrieval, and transformation, optimizing SQL/NoSQL database interactions and leveraging cloud storage services like AWS S3. Scalability Build scalable data pipelines and model training workflows using modern tools and frameworks. Code Quality & Testing: Enforce high standards for code quality, conducting rigorous testing (unit, integration, and E2E) and driving best practices for CI/CD using Git/GitHub. System Monitoring: Implement robust monitoring and logging (CloudWatch, Prometheus) for the API and underlying AWS resources to ensure low latency and high operational reliability. Mandatory Qualifications These are the non-negotiable requirements for the role: Education: Bachelor’s in Computer Science, Software Engineering, or related technical field. Experience: 4+ years of professional experience primarily focused on backend software development and production deployments. Python Expertise: Expert proficiency in Python (including advanced features, context managers, decorators) and writing high-quality, production-ready code. High-Performance Python: Experience with low-level Python performance tuning, profiling, and optimizing data structures for speed. ML/Agent Exposure: Foundational knowledge of machine learning concepts and direct experience integrating LLM or AI Agent APIs (e.g., routing user intent to tools). AI Agent Frameworks: Direct experience with frameworks for building autonomous agents, such as LangChain Agents, AutoGen, CrewAI, or similar internal company frameworks. Production MLOps: Proven track record of deploying models in production environments using MLOps tools (MLflow, Airflow, DVC) and following CI/CD workflows (Git/GitHub). FastAPI Mastery: Deep, demonstrable experience developing robust, highly efficient, and modern APIs using FastAPI. AWS Proficiency: Strong, hands-on experience deploying and managing applications using core AWS services (EC2, S3, RDS, Lambda, IAM), including networking fundamentals. Experience with AWS ECS/EKS for container orchestration, AWS API Gateway, and serverless design patterns using Lambda. Database Experience: Strong experience with SQL databases (e.g., PostgreSQL, AWS RDS) and efficient query optimization, particularly within asynchronous frameworks. Containerization & DevOps: Expertise in Docker for containerization and practical experience with CI/CD workflows (Git/GitHub). Infrastructure as Code (IaC): Experience using tools like Terraform or AWS CloudFormation for managing cloud resources. Asynchronous I/O: Deep understanding and application of Python's asyncio library for building highly concurrent systems. Data Streaming: Familiarity with message queuing and streaming technologies (SQS, SNS, or Kafka). Why Join AppSecure? Work on Autonomous Pentesting Agents and AI-powered security platforms. Be part of team building next-generation cybersecurity startups. Collaborate with elite hackers, researchers, and high-performance engineering teams. Work on deeply technical, high-impact systems used by global enterprises and unicorn startups. Fast, modern, experimentation-friendly engineering culture. 


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