Software Engineer III - AWS, Python, Spark

JobID: 210719232 Category: Software Engineering JobSchedule: Full time Posted Date: 2026-03-17T13:27:35+00:00 JobShift: Day : We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within Enterprise Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities * Design, develop, and troubleshoot software solutions, applying innovative thinking to build resilient systems and decompose complex technical problems.

* Write secure, high-quality production code and maintain performant algorithms that integrate reliably with upstream and downstream systems.

* Produce and review architecture and design artifacts for complex applications, ensuring code implementations meet design constraints and non-functional requirements.

* Build scalable data pipeline frameworks using PySpark across multiple application and business scenarios.

* Gather, analyze, and synthesize insights from large, diverse datasets; create visualizations and reporting to drive continuous improvement of applications and systems.

* Proactively identify hidden issues and patterns in data, using findings to improve coding hygiene, data quality, and system architecture.

* Containerize services by creating Docker images; package and run ETL/data processing jobs using Kubernetes-based methodologies.

* Schedule and manage workflows with Airflow; orchestrate end-to-end application pipelines using internal and external toolsets.

* Own the application DevOps lifecycle from development to production, including CI/CD, environment promotion, release management, and operational readiness.

* Participate in data validations, production cutover, and go-live activities through General Availability (GA), ensuring reliability, observability, and supportability.

* Foster an inclusive team culture grounded in diversity, opportunity, respect, and continuous learning.

Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 3+ years applied experience.

* Strong understanding of Agile methodologies, with hands-on experience in at least one common framework (e.g., Scrum or Kanban). * Experience optimizing performance on both cloud and non cloud platforms, with emphasis on data pipeline throughput, latency, and cost efficiency.

* Practical, hands-on experience in system design, application development, testing, and ensuring operational stability.

* Proficiency in Python, including building scalable data pipelines using PySpark.

* Experience developing, debugging, and maintaining code at enterprise scale using one or more modern programming languages and database/query languages.

* Hands on experience with AWS services and infrastructure-as-code, including Terraform, SQS, SNS, Lambda, DynamoDB, S3, EC2, EMR, as well as Docker and Kubernetes.

* Experience orchestrating workflows with Airflow or comparable cloud-native orchestration tools.

* Working knowledge of the full Software Development Life Cycle for containerized and non containerized applications including CI/CD details (e.g., GitOps, artifact repositories, blue/green or canary releases). * Experience in building microservices and REST APIs for a service based architecture.

* Familiarity with software applications and technical processes across one or more disciplines such as cloud, artificial intelligence/machine learning, and mobile.

Preferred qualifications, capabilities, and skill * Familiarity with modern front-end and back-end technologies.

* Exposure to cloud technologies mainly on AWS side.

* 5+ Hands on experience in developing data pipelines.

* Strong analytics skills to debug issues in higher environment especially on Cloud platforms.

* Proven problem solving skills across diverse software platforms and environments.