Application Development: Design, develop, and maintain scalable and efficient Python-based applications and services. Write clean, maintainable, and well-documented code following industry best practices. Collaborate with architects and stakeholders to design robust system architectures that meet business requirements. Ensure scalability, security, and performance in all solutions. Develop and maintain APIs and integrations with third-party systems. Automate repetitive tasks and workflows to improve efficiency. Work closely with product managers, DevOps, and other teams to deliver end-to-end solutions. Work with large datasets, ensuring efficient data processing and storage. Implement data pipelines and ETL processes as needed. At least 6 years' relevant experience would generally be expected to find the skills required for this role 10-15 years of professional experience in Python development. Proficiency with Python and libraries for machine learning such as scikit-learn, pandas, deep-learning. Expertise in Python frameworks like Django, Flask, or FastAPI. Strong understanding of RESTful APIs, microservices, and cloud platforms (AWS, Azure, or GCP). Proficiency in database technologies (SQL and NoSQL). Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Familiarity with front-end technologies (React, Angular) is a plus. Strong networking background - IP, Firewalls, Proxy, Routing, Load Balancing, OSI Model, Packet trace and analysis, etc.) Good understanding of the protocols underpinning the web - TCP/IP, HTTP, SSL/TLS etc. (Ideal candidate would be able to intelligently dissect all 7 layers of the OSI stack) and troubleshoot. Hands on experience in understanding different data sets generated from various cybersecurity products/ services/ SIEM tools Understanding of data structures, data modelling and software architecture Experience in architecture, design, and implementation of data intensive applications for practical use-cases Practical knowledge of deep learning implementation in at least one of the areas Cyber, NLP, Image Processing Strong quantitative and problem-solving skills Expertise in visualizing large datasets in an efficient manner Ability to work in fast paced and dynamic environment Good written and verbal communication skills Strong sense of ownership and accountability of deliverables Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
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