Software Development Engineer II – Full Stack

Gather AI

. Build and maintain production backend services using Python and Node.js/NestJS .

Posted 9/21/2026full-timeRemote • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining production backend services using Python and Node.js/NestJS, with a strong focus on REST API design, database management, and secure coding practices. Proficient in deploying applications using Docker and Kubernetes while ensuring system reliability and performance through effective monitoring and troubleshooting.

Highest-signal resume keywords

Python DevelopmentNode.js/NestJS DevelopmentREST API DesignPostgreSQL ManagementDocker and Kubernetes Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonNode.jsNestJSPostgreSQLREST APIsSQLCaching StrategiesMessage QueuesAsynchronous ProcessingSecure Coding

Soft Skills

Strong Communication SkillsCollaborative ApproachCuriosity and Willingness to Learn

Tools & Technologies

DockerKubernetesCI/CD PipelinesRedisKafkaRabbitMQSQSAzure

Certifications & Qualifications

Engineering Degree in Computer Science

Industry Keywords

Production SoftwareMicroservicesDistributed SystemsPerformance TuningMonitoring and Observability

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsDockerJavaScriptKafkaKubernetesMicroservicesNode.jsPostgresPythonRabbitMQRedisSQL

About the role

Key responsibilities & impact

Build and maintain production backend services using Python and Node.js/NestJS
Design, build, and maintain REST APIs and integrations with internal and external systems
Work with PostgreSQL in production, including schema design, complex queries, indexing, connection management, and performance tuning
Build and support asynchronous workflows using message queues and distributed system patterns
Apply caching strategies across application and data layers, including understanding cache invalidation and performance tradeoffs
Take features and integrations through the full software development lifecycle, including development, testing, deployment, monitoring, troubleshooting, and iteration
Containerize and deploy services using Docker, Kubernetes, and CI/CD pipelines
Monitor production systems using logs, dashboards, metrics, and other observability tools to understand reliability, throughput, and performance
Diagnose and resolve production issues, including failures across APIs, integrations, queues, databases, and multi-service workflows
Contribute to secure development practices including authentication, authorization, secrets handling, and protection against common application vulnerabilities
Work closely with senior engineers on technical design and architecture decisions while progressively taking greater ownership
Identify opportunities to improve code, reliability, performance, engineering processes, and system design rather than only executing assigned work
Collaborate with Engineering, Security, Customer Success, Product, and other teams as our platform continues to scale

Requirements

What you’ll need

2–5 years of professional software engineering experience building and operating production software
An engineering degree in Computer Science or equivalent practical experience
Production experience with Python and Node.js/NestJS, with strong production depth in at least one and working experience with the other
Experience building production-grade APIs, microservices, or backend systems and seeing them through deployment and ongoing operation
Strong SQL fundamentals and hands-on relational database experience, including complex queries, indexing, schema design, and production performance troubleshooting
Experience designing and maintaining REST APIs, not only consuming them
Experience integrating with external systems and understanding real-world concerns such as retries, duplicate processing, failure handling, and unreliable dependencies
Working knowledge of distributed systems concepts including asynchronous processing, message queues, retries, consistency, and failure recovery
Understanding of caching, including what to cache, where caching should occur, and how invalidation is handled
Experience with message queues or asynchronous processing technologies such as Kafka, RabbitMQ, SQS, or equivalent
Experience with Redis or another caching technology
Experience with Azure or another major cloud provider, deploying and debugging, using Docker, Kubernetes, and CI/CD pipelines
Familiarity with Git and modern code review workflows
Understanding of secure coding fundamentals including authentication and authorization, secrets handling, injection risks, and data exposure
Experience working with production systems beyond simply writing code, including monitoring metrics, investigating performance, responding to failures, and improving systems after issues occur
Strong written and verbal communication skills in English, with the ability to document decisions, explain tradeoffs, write clear PRs and design notes, and raise blockers early
A collaborative and curious approach, with the willingness to contribute ideas, ask questions, accept feedback, and work across component boundaries when needed