Position Details

Salary $197K – $225K USD / year

Type Full-Time

Experience lead

Exp. Years At least 4 years

Education Bachelor's Degree

Category Software Engineering

About this role

Lead back-end engineering efforts using Python to build cloud-based, distributed microservices and full-stack systems. You will help architect and launch Generative AI-powered conversational experiences for millions of customers, while mentoring and leading a team.

Key Responsibilities

Lead a portfolio of diverse technology projects and a team
Collaborate with digital product managers to deliver cloud-based solutions
Utilize Java, Python, SQL, Node, Go, Scala plus open source RDBMS and NoSQL databases
Use Docker and Kubernetes and a variety of AWS services
Experiment with new technologies and participate in engineering communities

Technical Overview

Primary stack includes Python, Java, SQL, and cloud computing on AWS (Amazon Web Services), with container orchestration using Docker and Kubernetes. The role emphasizes distributed microservices, open source relational and NoSQL databases, and applying Generative AI to build conversational experiences.

Ideal Candidate

The ideal candidate is a lead software engineer with 4+ years of professional software engineering experience, strong Python and SQL skills, and hands-on experience building distributed microservices. They have 1+ years of cloud computing experience on AWS (Amazon Web Services) and have shipped containerized services using Docker and Kubernetes. They also have exposure to Generative AI capabilities used to build conversational experiences and can lead/mentor engineering teams.

Must-Have Skills

distributed microservicesfull stack systemscloud computingAWSPythonSQLBachelor's Degree4 years of professional software engineering experience

Nice-to-Have Skills

people managementAgile practicesopen source frameworksMaster's DegreeNode.js

Tools & Platforms

DockerKubernetesAWSAmazon Web ServicesMicrosoft AzureGoogle Cloud

Required Skills

distributed microservicesfull stack systemsJavaPythonSQLNodeGoScalaOpen Source RDBMSNoSQL databasesDockerKubernetesAWSAmazon Web Servicescloud computingMicrosoft AzureGoogle CloudGenerative AIconversational experiencesAgilepeople management

Hard Skills

distributed microservicesfull stack systemsJavaPythonSQLNodeGoScalaOpen Source RDBMSNoSQL databasesDockerKubernetesAmazon Web ServicesAWScloud computingMicrosoft AzureGoogle Cloudcloud-based solutionsdigital product management collaborationconversational experiencesGenerative AI

Soft Skills

leadershipmentoring other members of the engineering communitycode or evaluate codestaying on top of tech trendsexperimenting with and learning new technologiesparticipation in internal & external technology communitiescollaborationcross-functional collaborationworking in a fast-paced environmentinclusive and iterative deliveryarchitect and launch

Industry & Role

Industry Banking

Job Function Lead back-end software engineering to build cloud-native, microservices-based systems powered by Generative AI conversational experiences.

Role Subtype Backend Engineer

Tech Domains Python, Java, Kubernetes, Docker, Amazon Web Services, Azure, Google Cloud Platform, SQL / PostgreSQL

Clearance & Visa

Visa Sponsorship No

Keywords for Your Resume

Lead Software EngineerLead Back End Software EngineersLead Software Engineer (Python)Back End Software EngineerSoftware EngineerPythonJavaSQLNodeGoScalaOpen Source RDBMSNoSQL databasesdistributed microservicesfull stack systemsDockerKubernetesAWSAmazon Web Servicescloud computingMicrosoft AzureGoogle CloudGenerative AIconversational experiencesAgilepeople managementmentoringBachelor's Degree

Deal Breakers

Bachelor's Degree, At least 4 years of professional software engineering experience (internship not applicable), At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud), No work authorization sponsorship (visa sponsorship not available)

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