Software Development Engineer II
We are looking for a talented Software Development Engineer II (SDE II) to design, develop, and maintain scalable software applications, cloud-native services, and AI-powered solutions that support enterprise-grade products. The ideal candidate will have strong experience in backend development, API design, cloud computing, distributed systems, and modern software engineering practices.As an SDE II, you will own features throughout the complete software development lifecycle—from technical design and implementation to deployment, monitoring, and continuous optimization. You will collaborate with software engineers, AI specialists, product managers, DevOps engineers, and data teams to deliver reliable, secure, and high-performance applications while leveraging AI-assisted development tools to improve engineering productivity.This role offers an opportunity to work with modern cloud technologies, Generative AI, containerized applications, and scalable architectures while contributing to innovative software solutions.Key ResponsibilitiesSoftware DevelopmentDesign, develop, test, deploy, and maintain scalable software applications and backend services.Build cloud-native applications using modern software engineering principles.Develop secure, high-performance RESTful APIs and microservices.Deliver production-ready features from design through deployment and post-release support.Continuously improve application scalability, reliability, and maintainability.AI-Powered EngineeringUtilize AI-assisted development tools such as GitHub Copilot, Cursor AI, Gemini, Claude, or similar platforms to accelerate software development.Evaluate AI-generated code for accuracy, security, and maintainability before implementation.Develop AI-enabled workflows that improve engineering productivity and software quality.Explore opportunities to automate repetitive development tasks using AI technologies.Collaborate with AI engineers on intelligent applications and workflow automation initiatives.Cloud & InfrastructureDevelop and maintain applications deployed on AWS cloud infrastructure.Build containerized applications using Docker and cloud-native deployment practices.Support infrastructure scalability, performance optimization, and cost efficiency.Participate in cloud migration and modernization initiatives where applicable.Implement monitoring, logging, and observability across production systems.Software Quality & TestingCreate comprehensive unit, integration, component, and end-to-end test cases.Maintain high code quality through peer reviews and coding standards.Identify, troubleshoot, and resolve software defects and production issues.Ensure software reliability through automated testing and continuous validation.Participate in release planning and deployment activities.DevOps & OperationsSupport CI/CD pipelines and automated deployment processes.Monitor production applications and respond to operational incidents.Perform root cause analysis for production issues and implement permanent solutions.Improve deployment efficiency through automation and process optimization.Contribute to infrastructure reliability and operational excellence initiatives.Collaboration & LeadershipWork closely with Product Managers, Designers, QA Engineers, Data Engineers, and DevOps teams.Participate in architecture discussions and technical planning sessions.Mentor junior developers and contribute to team knowledge sharing.Maintain technical documentation and engineering standards.Continuously evaluate new technologies and engineering best practices.Required SkillsProgramming LanguagesJavaPythonTypeScriptGo (Preferred)Backend DevelopmentRESTful API DevelopmentMicroservices ArchitectureDistributed SystemsBackend Application DevelopmentService-Oriented ArchitectureCloud TechnologiesAmazon Web Services (AWS)Amazon EC2Amazon S3AWS LambdaCloud-Native DevelopmentDatabasesMySQLSQLDatabase DesignQuery OptimizationDevOpsGitGitHubCI/CD PipelinesDockerContinuous IntegrationContinuous DeploymentAI-Assisted DevelopmentGitHub CopilotCursor AIGoogle GeminiClaude AIGenerative AI Development ToolsPrompt Engineering FundamentalsSoftware EngineeringObject-Oriented ProgrammingDesign PatternsData Structures & AlgorithmsDebuggingCode ReviewTest-Driven Development (TDD)Professional SkillsStrong analytical and problem-solving abilities.Excellent communication and collaboration skills.Ability to work independently and manage feature ownership.Strong debugging and troubleshooting capabilities.Continuous learning mindset with interest in AI-driven software development.Preferred SkillsInfrastructure as Code (Terraform).CircleCI or other CI/CD platforms.Kubernetes.High-throughput distributed systems.Big Data processing environments.AdTech or Media Technology experience.AI workflow automation.Observability tools such as Prometheus, Grafana, OpenTelemetry, or Datadog.EducationBachelor's degree in Computer Science, Software Engineering, Information Technology, Electronics, or a related technical discipline.B.Tech / BE / BCA / B.Sc. (Computer Science or IT) preferred.MCA, M.Tech, M.Sc. (Computer Science, Artificial Intelligence, Software Engineering), or equivalent qualifications.Preferred CertificationsAWS Certified Developer – AssociateAWS Certified Solutions Architect – AssociateOracle Certified Java ProfessionalDocker Certified AssociateCertified Kubernetes Application Developer (CKAD)HashiCorp Terraform AssociateGenerative AI or Cloud Computing certifications