Full job description
Senior Software Engineer role in the CDP team responsible for designing, delivering, and executing large-scale cloud-native data platforms primarily on AWS. Requires hands-on work with Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases. Responsibilities include performance optimization, scalability, security, governance, collaboration with global teams, and ownership of the full software development lifecycle. Requires 5-8 years of experience in software engineering with expertise in scalable UX applications, distributed systems, REST APIs, microservices, Kubernetes, data warehousing, big data ecosystems, and messaging technologies. Strong skills in Python, Java, Angular, PySpark, AWS, Kafka, Terraform, Ansible, CI/CD, and DevOps are essential. Exposure to Generative AI technologies and cloud platforms like Azure and GCP is a plus. Educational qualification: B.E./B.Tech/M.Tech/MCA in Computer Science or related field.
What you'll do
- Deliver large-scale cloud-native data platforms primarily on AWS
- Leverage REST APIs, microservices, and event-driven applications to build scalable and resilient systems
- Work hands-on across the technology stack including Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases
- Drive performance optimization, scalability, reliability, security, governance, and cost efficiency
- Collaborate with global engineering, product management, architecture, and business stakeholders
- Align technical solutions with strategic business objectives
- Own end-to-end software development lifecycle including requirements gathering, solution design, development, deployment, observability, and documentation
- Define engineering standards and influence long-term platform direction
- Mentor junior engineers
- Ensure platform scales securely and reliably to support business growth
Requirements
- B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or related field
- 5-8 years of software engineering experience
- Experience building scalable UX driven applications and distributed systems architecture
- Proven experience designing and building scalable REST APIs, microservices, Kubernetes, and distributed systems
- Experience in Data Warehousing, Data Lakes, Delta Lake architecture, and big data ecosystem designs
- Strong hands-on expertise in Python, Java, Angular
- Well-versed with Object oriented design patterns and Functional programming
- Experience in PySpark and Apache Spark for high-performance distributed data processing
- Micro-services development with Kubernetes containerization
- Experience with AWS services (S3, Lambda, API Gateway, EventBridge)
- Experience with messaging and event-driven technologies (Kafka, SNS, SQS)
- Expertise in relational and NoSQL databases (PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, Redis)
- Hands-on experience with Infrastructure as Code tools (Terraform, Ansible)
- Understanding of CI/CD and DevOps practices (Jenkins, GitHub/GitLab, Bitbucket, GoCD)
- Experience implementing unit, integration, and regression testing
- Strong critical thinking and analytical skills
- Exposure to Generative AI technologies (LLMs, RAG architectures, Agentic AI systems)
- Nice to have: PySpark with Databricks, Azure, GCP, experience in privacy-safe or Customer Data Platforms and Marketing Technology environments
Tech stack
JavaPythonSparkPySparkTypeScriptJavaScriptAngularAWS (S3, Lambda, API Gateway, EventBridge)KubernetesREST APIsMicroservicesSQLNoSQLPostgreSQLSQL ServerAuroraDynamoDBMongoDBRedisKafkaSNSSQSTerraformAnsibleJenkinsGitHubGitLabBitbucketGoCDDatabricks (nice to have)Azure (nice to have)Google Cloud Platform (GCP) (nice to have)Generative AILLMsRAG architecturesAgentic AI systems
Benefits
Employee well-being focusCollaborative work environmentOpportunities for growth, learning, development, and career advancementInnovation-driven cultureWork-life balance and flexibilityDiversity, inclusion, and equal employment opportunity commitment