Lead Software Engineer w/Python and AWS -W2

Dcode Talent LLC

Boston, United States of America

1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Compensation

$ 157K

Job location

Boston, United States of America

Tech stack

API

Agile Methodologies

Amazon Web Services (AWS)

Cloud Computing

Code Review

Continuous Integration

Web Scraping

DevOps

Programming Tools

Python

NumPy

Software Engineering

SQLAlchemy

Systems Architecture

Test Driven Development

GIT

Cloudformation

FastAPI

Pandas

Amazon Web Services (AWS)

Pytest

Functional Programming

Cloudwatch

Terraform

Docker

Jenkins

Artifactory

Job description

Design, develop, and maintain core platform services and APIs to support internal development teams.

Collaborate with cross-functional teams to gather requirements and deliver scalable, reliable solutions.
Build and maintain infrastructure automation and CI/CD pipelines using modern DevOps tools.
Participate in code reviews, architecture discussions, and technical planning.
Contribute to all phases of the software development lifecycle, including architecture, implementation, deployment, and ongoing support.
Ensure adherence to engineering standards such as continuous integration, code reviews, and technical documentation.
Monitor and optimize system performance, reliability, and security using metrics, logs, and distributed tracing.
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Requirements

10+ years of software engineering experience.

Strong hands-on experience with AWS cloud-native applications (EC2, Lambda, S3, RDS, CloudFormation).
Deep understanding of scalable, secure, and highly available system architecture.
Proven experience building and operating DevOps platforms (CI/CD pipelines, Infrastructure as Code - Terraform, Jenkins).
Skilled in container orchestration (ECS or EKS).
Experience with monitoring and observability tools (OpenSearch, OpenTelemetry, CloudWatch, X-Ray).
Advanced proficiency in Python and related libraries (Pandas, NumPy, Requests, BeautifulSoup, FastAPI, SQLAlchemy).
Experience with packaging, testing, and deploying Python applications (pytest, setuptools, Docker).
Familiarity with test-driven development, continuous integration, and agile methodologies.
Comfortable using development tools such as Git, Artifactory, and Jenkins. Ideal Candidate:
Enjoys solving complex technical problems and building reusable platforms.
Excels at close collaboration with other engineers.
Committed to delivering high-impact internal solutions that enable business value.