Software Engineer III - AWS, Python, Spark

Description

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.