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Lead Software Engineer - AWS

JPMorganChase

Glasgow

On-site

GBP 70,000 - 100,000

Full time

7 days ago
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Job summary

A leading financial institution seeks a Lead Software Engineer specializing in AWS to guide a talented team. In this role, you will oversee daily implementation activities, ensure compliance, and leverage your expertise in cloud technologies. This is an excellent opportunity for individuals eager to drive technology projects in a collaborative environment.

Qualifications

  • Formal training or certification on Java and Python programming concepts.
  • Experience leading technology projects.
  • Proficient in automation and continuous delivery methods.

Responsibilities

  • Guide a team of software engineers on daily tasks and activities.
  • Manage stakeholder relationships and ensure compliance.
  • Produce architecture and design artifacts for applications.

Skills

Java programming
Python programming
Software Development Life Cycle
Cloud implementation with AWS
Continuous delivery methods
Big data frameworks
Collaboration with Data Scientists

Education

Bachelor's degree in Computer Science, Engineering, Mathematics or related field

Tools

AWS Data Services
No SQL Databases such as MongoDB

Job description

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Job Description

This is your chance to change the path of your career and guide a team to success at one of the world's leading financial institutions.

Job Description

This is your chance to change the path of your career and guide a team to success at one of the world's leading financial institutions.

As a Lead Software Engineer at JPMorgan Chase within the Client Data Exchange Team, you are hands-on and lead a team and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.

Job Responsibilities

  • Provides guidance to immediate team of software engineers on daily tasks and activities
  • Sets the overall guidance and expectations for team output, practices, and collaboration
  • Anticipates dependencies with other teams to deliver products and applications in line with business requirements
  • Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Creates a culture of diversity, equity, inclusion, and respect for the team members and prioritizes diverse representation

Required Qualifications, Capabilities, And Skills

  • Formal training or certification on Java programming concepts and proficient advanced experience
  • Formal training or certification on Python programming concepts
  • Experience leading technology projects and managing technologists
  • Proficient in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle, agile methodologies such as CI/CD, Application Resiliency, and Security
  • Cloud implementation experience with AWS including:
    • AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS
    • Data De/Serialization: Parquet and JSON format
    • AWS Data Security: Good Understanding of security concepts such as: IAM, Service roles, Encryption, KMS, Secrets Manager
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
  • Exposure to big data frameworks (Spark, Hadoop etc.) used for scalable distributed processing
  • Ability to collaborate effectively with Data Scientists to translate analytical insights into technical solutions
Preferred Qualifications, Capabilities, And Skills

  • Familiarity with No SQL Databases such as MongoDB
  • Experience in various messaging technologies such as Kafka
  • Knowledge of the financial services industry and their IT systems

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology

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