Senior Python Application Developer

7-13years

Chennai only

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Senior Python Application

Developer We are seeking an exceptionally skilled and driven Lead Python

Application Developer to architect, develop, and deliver mission-critical enterprise

applications within a high-performance Python ecosystem.

This role demands a seasoned technologist with a proven track record of technical leadership, deep expertise in scalable system design, and a passion for driving innovation through

cutting-edge Python development. The successful candidate will play a pivotal role

in shaping our technical roadmap, mentoring engineering teams, and ensuring the

robust, secure, and efficient execution of strategic initiatives.

RequiredQualifications:

Advanced Technical Leadership & Architectural Acumen:8+ years of progressive experience in application development and systemsarchitecture, with a laser focus on Python-centric solutions. Demonstrable expertisein end-to-end software development lifecycle (SDLC) leadership, from strategicplanning and solution architecture to deployment and post-production optimization.

Proven capability to lead and inspire cross-functional engineering teams, foster a

culture of technical excellence, and enforce rigorous code quality standards through

comprehensive code reviews and design critiques. Act as a Subject Matter Expert

(SME) in advanced Python paradigms, including asynchronous programming

(asyncio), concurrency, and parallel processing, alongside profound knowledge of

modern frameworks such as FastAPI, Django REST Framework, and Flask.

Mastery of enterprise-grade software architecture patterns, including Microservices, Event

Driven Architectures (Kafka, RabbitMQ), Domain-Driven Design (DDD), and

GraphQL. Deep understanding of Object-Oriented Programming (OOP) and

Functional Programming principles, applying them to construct highly modular,

extensible, and maintainable codebases.

Core Technical Proficiency & Expert-level proficiency in Python 3.x, with extensive experience

in developing high throughput, low latency, and fault-tolerant applications leveraging

its comprehensive standard library and vibrant third-party ecosystem.





Comprehensive hands-on experience with diverse database technologies, including

advanced SQL optimization for relational databases (e.g., PostgreSQL, Oracle, SQL

Server) and schema design for NoSQL solutions (e.g., MongoDB, Cassandra,

Elasticsearch, Redis).Architectural and implementation expertise in designing,

securing (OAuth2, JWT), and optimizing RESTful and gRPC APIs, focusing on

idempotency, rate limiting, and robust error handling. Mandatory hands-on

experience with enterprise CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions,

Azure DevOps) to implement fully automated testing, build, and deployment

strategies (GitOps principles).

Extensive cloud platform experience (AWS, Azure, or GCP), encompassing infrastructure as-code (Terraform, CloudFormation),serverless computing (AWS Lambda, Azure Functions), and a deep understanding of cloud-native services. Proficient in containerization technologies (Docker) and

advanced Kubernetes orchestration, including Helm, service meshes (Istio, Linkerd),

and custom resource definitions (CRDs).

Elite-level troubleshooting, performance profiling, and optimization skills for distributed systems, leveraging tools like Prometheus, Grafana, Jaeger, and custom instrumentation. Advocate and

implement advanced automated testing strategies (unit, integration, end-to end,

performance) using frameworks like Pytest, Hypothesis, and Selenium, embracing

Test-Driven Development (TDD) as a core practice. Robust understanding and

practical application of secure coding principles, static/dynamic analysis tools, and

best practices for mitigating common vulnerabilities (OWASP Top 10, data

encryption, secrets management with Vault).

Expertise in advanced Git workflows (Gitflow, Trunk-Based Development), including sophisticated branching, merging strategies, and pull request automation.

Artificial Intelligence (AI) Integration & Demonstrated experience with AI/Machine Learning lifecycle,from data preprocessing and model training to deployment and monitoring, utilizing

frameworks such as TensorFlow, PyTorch, Hugging Face, and scikit-learn. Practical





experience integrating and leveraging advanced AI development tools and platforms

(e.g., GitHub Copilot, Devin, Windsurf, Antigravity) to enhance developer

productivity and code quality. Hands-on experience designing, developing, and

deploying Agentic AI systems, including the creation of custom agents, defining

specialized skills, and contributing to agentic frameworks for automating complex

development and operational workflows. Strong understanding and practical

application of Generative AI models (e.g., GPT, Gemini, Claude) for code generation,

natural language processing (NLP) tasks, and intelligent automation within the

software development pipeline. IV. Methodology &

Professional Skills:

Deep understanding and practical experience with Agile/Scrum/Kanban methodologies,

fostering a collaborative, iterative, and results-oriented development environment.

Exceptional organizational skills, with the ability to dynamically re-prioritize and meticulously

manage multiple high-stakes tasks in a rapid-paced, evolving technical landscape.

Proven leadership in project management, including meticulous stakeholder

communication, resource optimization, and cross functional team coordination.

Superior written and verbal communication skills, capable of articulating complex

technical concepts with clarity and precision to both technical and executive

audiences.

Desirable Qualifications:

- Polyglot Programming Proficiency:Experience with additional programming languages (e.g., Java, Go, Scala, Rust),particularly in the context of enterprise microservices or high performance
- computing.
- Big Data & Real-time Analytics: Hands-on experience with Big Data technologies (e.g., Apache Spark, Flink, Hadoop, Kafka Streams) and architecting real-time data processing pipelines. Frontend
- Development Expertise: Proficiency inmodern frontend frameworks (e.g., React.js, Angular, Vue.js) for full-stack application delivery. Cloud & Industry Certifications: Relevant advanced cloud certifications (e.g.,AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert,
- Google Cloud Professional Cloud Architect) or industry-recognized certifications in
- specialized technical domains.
- Financial Domain Acumen: In-depth understanding offinancial services industry regulations, compliance standards, and specific domain knowledge relevant to capital markets, retail banking, or enterprise risk management.

📌 Python Developer (Chennai)
🏢 Straive
📍 Chennai