Software Engineer III
JPMorgan Chase
Hyderabad, IndiaPosted 8 days agoDiscoveredMatch locked
3+ years expSoftware Engineering
About the role
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 the Consumer & Commercial Banking 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, build, and maintain scalable ETL/data pipelines using
Python
and
PySpark
on
AWS Glue
and
S3
.
- Ensure
data quality, reliability, and performance
via validation checks, monitoring, and Spark/Glue job optimization.
- Collaborate with upstream/downstream teams to gather requirements, troubleshoot issues, and deliver well-documented datasets/interfaces.
- Own end-to-end
hands-on technical delivery (100%)
, following engineering standards;
Java
exposure is a plus.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- A reproducible training pipeline with automated validation and promotion to production.
- A low-latency inference service with monitoring, alerting, and drift detection.
- Infrastructure-as-code for ML environments with secure networking and least-privilege IAM
Required qualifications, skills, and capabilities
- 3+ years (or equivalent) building and deploying ML systems in production.
- Strong programming skills in
Python
and solid software engineering fundamentals (APIs, testing, design patterns).
- Strong hands-on experience with
Python
and
PySpark
for building production-grade ETL pipelines.
- Hands-on AWS experience, including several of:
S3, IAM, VPC, EC2, ECR, ECS/EKS, Lambda, CloudWatch, CloudFormation/Terraform
.
- Experience with data processing tools (e.g.,
Spark
,
AWS Glue
,
Athena
,
EMR
) and SQL.
- Practical knowledge of deploying/serving models (REST/gRPC), performance tuning, and monitoring.
- Solid knowledge of
ETL concepts
, data modeling basics, and handling large-scale batch/incremental processing.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred qualifications
- Hands-on experience with
AWS Glue
(Jobs, Crawlers, Data Catalog) and
Amazon S3
.
- Strong
SQL
skills and experience implementing
data quality / observability
practices (reconciliations, validation checks, monitoring/alerting).
- Experience with
CI/CD
for data pipelines,
Git-based workflows
, and
automated testing
.
Not included in the source posting: about the role, benefits.
Skills
artificial-intelligenceawsetlpythonsqliammachine-learningsparkci-cdgitgrpcrest-api
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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