Senior Python Engineer

Shuru

. Own backend development from architecture and system design through implementation, deployment, and production support .

Posted 11/11/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend development using Python and frameworks like FastAPI, Django, or Flask, with a strong focus on building scalable, high-performance systems. Proficient in designing REST APIs, microservices, and optimizing database interactions while mentoring teams and collaborating effectively in a remote environment.

Highest-signal resume keywords

Python Backend DevelopmentFastAPI, Django, FlaskREST API DevelopmentMicroservices ArchitectureCloud Platforms (GCP, AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingObject-Oriented ProgrammingAsynchronous ProgrammingSQL Query OptimizationData ModelingDistributed SystemsEvent-Driven ArchitectureBackground Task ProcessingApplication SecurityPerformance Profiling

Soft Skills

MentoringCommunicationOwnershipCollaborationProblem-Solving

Tools & Technologies

CI/CDDockerKubernetesRedisPostgreSQLCeleryKafkaRabbitMQCloud InfrastructureMonitoring Tools

Industry Keywords

FintechCommercial BankingAnti-FraudGrowth EngineeringStartup Experience

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDjangoDockerFlaskGoogle Cloud PlatformKafkaKubernetesMicroservicesPostgresPythonRabbitMQRedisSQL

About the role

Key responsibilities & impact

Own backend development from architecture and system design through implementation, deployment, and production support
Build products from scratch and scale them as usage and business complexity grow
Design, develop, and optimize scalable backend services using Python, FastAPI, Django, or Flask
Design robust REST APIs, database models, microservices, and event-driven workflows
Build distributed systems with fault tolerance, reliable communication, and appropriate data consistency guarantees
Make architecture decisions balancing performance, scalability, consistency, security, and maintainability
Optimize backend services for low latency, high throughput, and efficient resource utilization
Improve monitoring, logging, metrics, and alerting
Contribute to CI/CD pipelines, containerized deployments, and cloud infrastructure
Mentor teammates through design discussions, code reviews, and hands-on technical guidance
Collaborate with product and engineering teams and take ownership of delivery and product outcomes

Requirements

What you’ll need

Strong hands-on experience with Python in building, scaling, and operating production-grade backend systems
Strong experience with at least one Python backend framework, such as FastAPI, Django, or Flask
Solid understanding of Python fundamentals, object-oriented programming, asynchronous programming, concurrency, and multiprocessing
Strong understanding of design patterns, architectural principles, and system design
Hands-on experience with relational databases, data modeling, SQL query optimization, and REST API development
Experience with microservices, event-driven architectures, asynchronous processing, and distributed systems
Strong understanding of distributed consistency, concurrency, scalability, fault tolerance, and failure handling
Experience with background task processing and messaging systems such as Celery, Kafka, Redis, or RabbitMQ
Knowledge of application security, authentication, authorization, and secure data handling
Working knowledge of DevOps fundamentals, including CI/CD, Docker, containers, and Kubernetes
Experience with cloud platforms, preferably Google Cloud Platform (GCP); AWS experience is also acceptable
Ability to work independently, communicate technical decisions, and mentor teammates in a remote environment
Startup experience building products from 0 to 1 and scaling them from 1 to 100
Experience owning architecture and delivering greenfield products using Python
Experience building high-concurrency, low-latency, and high-throughput backend services
Familiarity with Python performance profiling, memory management, async I/O, and application optimization
Experience with distributed caching solutions such as Redis
Experience with PostgreSQL, database indexing, and query performance optimization
Experience in anti-fraud, commercial banking, fintech, or growth engineering is a plus
Comfort working with ambiguity, taking ownership, and balancing delivery speed with engineering quality

Benefits

Comp & perks

Work on challenging, large-scale engineering and data problems
Build modern platforms using cutting-edge cloud and data technologies
Work closely with experienced engineering, product, and technology leaders
Opportunity to take ownership of architecture and key technical decisions
Remote-first and collaborative work environment
Strong opportunities for learning, leadership, and career growth