Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Required Qualifications:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
Core Java Development
Strong understanding of
Java SE
(Java Standard Edition) and
Java EE
(Enterprise Edition).
Proficiency in
Object-Oriented Programming (OOP)
principles.
Experience with
multithreading
and
concurrent programming
.
Familiarity with
Java collections
,
streams
, and
functional programming
.
Apache Flink
Knowledge of
stream processing
and
batch processing
concepts.
Hands-on experience with
Apache Flink
for real-time data processing.
Understanding of
Flink APIs
(DataStream, DataSet, Table API).
Familiarity with
stateful processing
and
event time processing
in Flink.
Ability to optimize Flink jobs for
performance
and
fault tolerance
.
Apache Kafka
Proficiency in
Apache Kafka
for distributed messaging and event streaming.
Understanding of
Kafka producers
,
consumers
, and
topics
.
Experience with
Kafka Streams
or
Kafka Connect
.
Knowledge of
partitioning
,
replication
, and
offset management
.
Familiarity with
schema management
using
Confluent Schema Registry
or
Avro
.
Python for Gen AI
Basic to intermediate knowledge of
Python
programming.
Familiarity with
Gen AI frameworks
like
LangChain
,
Hugging Face Transformers
, or
OpenAI API
.
Ability to integrate Python-based Gen AI models with Java applications (e.g., via REST APIs or gRPC).
Understanding of
data preprocessing
and
model inference
workflows.
Big Data and Distributed Systems
Knowledge of
distributed systems
and
data pipelines
.
Familiarity with
Hadoop
,
Spark
, or other big data frameworks (optional but helpful).
Understanding of
data serialization formats
like
Avro
,
Parquet
, or
JSON
.
DevOps and CI/CD
Experience with
containerization
tools like
Docker
.
Familiarity with
Kubernetes
for deploying and managing distributed applications.
Knowledge of
CI/CD pipelines
using tools like
Jenkins
,
GitHub Actions
, or
GitLab CI
.
Cloud Platforms
Experience with cloud services like
AWS
,
Azure
, or
Google Cloud
.
Familiarity with
managed Kafka services
(e.g., AWS MSK, Confluent Cloud).
Knowledge of
serverless computing
and
cloud-native architectures
.
General Skills
Strong problem-solving and debugging skills.
Ability to write
clean, maintainable, and testable code
.
Familiarity with
Agile methodologies
and tools like
JIRA
.
Good understanding of
RESTful APIs
and
microservices architecture
.
Bonus Skills
Knowledge of
machine learning pipelines
and
data engineering
.
Familiarity with
Python-Flask
or
FastAPI
for building lightweight AI services.
Experience with
monitoring tools
like
Prometheus
or
Grafana
for Kafka and Flink
Posting End Date:
16 Nov 2025
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
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