Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Jobs

Interviews

Home
>
Jobs in Hyderabad
>
JPMorgan Chase Bank
>
Lead Software Engineer

Lead Software Engineer

JPMorgan Chase Bank

2 - 8 years

20 - 25 Lacs

Hyderabad

Posted:2 days ago| Platform:

Apply

Skills Required

orchestration Lead Software Data management spark Cloud Agile data governance Data quality AWS Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorgan Chase within Corporate Technology, you play a vital role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firms strategic goals.

Job responsibilities

Develop appropriate level designs and ensure consensus from peers where necessary.
Collaborate with software engineers and cross-functional teams to design and implement deployment strategies using AWS Cloud and Databricks pipelines.
Work with software engineers and teams to design, develop, test, and implement solutions within applications.
Engage with technical experts, key stakeholders, and team members to resolve complex problems effectively.
Understand leadership objectives and proactively address issues before they impact customers.
Design, develop, and maintain robust data pipelines to ingest, process, and store large volumes of data from various sources.
Implement ETL (Extract, Transform, Load) processes to ensure data quality and integrity using tools like Apache Spark and PySpark.
Monitor and optimize the performance of data systems and pipelines.
Implement best practices for data storage, retrieval, and processing
Maintain comprehensive documentation of data systems, processes, and workflows.
Ensure compliance with data governance and security policies

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Formal training or certification in AWS/Databricks with 10+ years of applied experience.
Expertise in programming languages such as Python and PySpark.
10+ years of professional experience in designing and implementing data pipelines in a cloud environment.
Proficient in design, architecture, and development using AWS Services, Databricks, Spark, Snowflake, etc.
Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform.
Familiarity with container and container orchestration technologies such as ECS, Kubernetes, and Docker.
Ability to troubleshoot common Big Data and Cloud technologies and issues.
Practical cloud native experience

Preferred qualifications, capabilities, and skills

5+ years of experience in leading and developing data solutions in the AWS cloud.
10+ years of experience in building, implementing, and managing data pipelines using Databricks on Spark or similar cloud technologies

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

Job responsibilities

Develop appropriate level designs and ensure consensus from peers where necessary.
Collaborate with software engineers and cross-functional teams to design and implement deployment strategies using AWS Cloud and Databricks pipelines.
Work with software engineers and teams to design, develop, test, and implement solutions within applications.
Engage with technical experts, key stakeholders, and team members to resolve complex problems effectively.
Understand leadership objectives and proactively address issues before they impact customers.
Design, develop, and maintain robust data pipelines to ingest, process, and store large volumes of data from various sources.
Implement ETL (Extract, Transform, Load) processes to ensure data quality and integrity using tools like Apache Spark and PySpark.
Monitor and optimize the performance of data systems and pipelines.
Implement best practices for data storage, retrieval, and processing
Maintain comprehensive documentation of data systems, processes, and workflows.
Ensure compliance with data governance and security policies

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Formal training or certification in AWS/Databricks with 10+ years of applied experience.
Expertise in programming languages such as Python and PySpark.
10+ years of professional experience in designing and implementing data pipelines in a cloud environment.
Proficient in design, architecture, and development using AWS Services, Databricks, Spark, Snowflake, etc.
Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform.
Familiarity with container and container orchestration technologies such as ECS, Kubernetes, and Docker.
Ability to troubleshoot common Big Data and Cloud technologies and issues.
Practical cloud native experience

Preferred qualifications, capabilities, and skills

5+ years of experience in leading and developing data solutions in the AWS cloud.
10+ years of experience in building, implementing, and managing data pipelines using Databricks on Spark or similar cloud technologies

More Jobs at JPMorgan Chase Bank

Valuation Controller - Automation, Developer - Associate

Mumbai

5 - 10 yrs

INR 20 - 25 Lacs

Transaction Processing Specialist

Chennai, Pune, Delhi, Mumbai, Bengaluru, Hyderabad, Kolkata

2 - 7 yrs

INR 4 - 9 Lacs

Transaction Processing Manager

Chennai, Pune, Delhi, Mumbai, Bengaluru, Hyderabad, Kolkata

4 - 9 yrs

INR 15 - 20 Lacs

Lead Software Engineer - Java, SpringBoot

Mumbai

5 - 10 yrs

INR 15 - 20 Lacs

Software Engineer III - Mongo DB Database Engineer

Mumbai

3 - 8 yrs

INR 30 - 35 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

JPMorgan Chase Bank

Financial Services

New York

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Lead Software Engineer