Software Engineer III - AWS, Python, Spark
Company: JPMorganChase
Location: Columbus
Posted on: April 1, 2026
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Job Description:
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.
Keywords: JPMorganChase, Canton , Software Engineer III - AWS, Python, Spark, IT / Software / Systems , Columbus, Ohio
