Flask Engineer Jobs

2 jobs found

12d ago

Sr. Software Engineer

Leidos Maryland

Maryland

12d ago

$108k - $195k/yr Full time Backend Developer Python Senior

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Job Description

Senior Software Engineer at Leidos supporting a long-term DIA-NDOC DOMEX Technology Platform contract in Maryland (onsite) within a TS/SCI environment.

Responsibilities

Design, develop, test, and maintain Python microservices in production-grade environments.
Implement message consumption and production using Apache Kafka.
Integrate Elasticsearch for real-time and batch data indexing and querying.
Write unit and integration tests to achieve strong code coverage and reliability.
Build and maintain CI/CD pipelines for services and deploy them to Kubernetes clusters.
Contribute to design discussions, code reviews, and architecture planning sessions.
Monitor and troubleshoot production issues with observability tools and dashboards.
Contribute to technical documentation and knowledge sharing within the team.
Apply appropriate software engineering methodologies for development, integration, and production environments.
Foster collaboration across team members to deliver quality service and product to customers.

Requirements

Bachelor’s Degree with 6-10 years of relevant experience, or Master’s Degree with 4-8 years of relevant experience.
Active Top Secret/SCI clearance with ability to obtain and maintain a Polygraph.
Proficiency in Python and backend frameworks such as FastAPI or Flask.
Experience with containerization, particularly Docker.
Hands-on experience with Extraction, Transformation, and Load (ETL) processes.
Linux development experience, including bash scripting.
Strong understanding of RESTful APIs and microservice architectures.
Hands-on Kubernetes experience: deploying, monitoring, and debugging services.
Knowledge of common design patterns, security practices, and logging/monitoring principles.
Familiarity with Git and collaborative workflows such as pull requests and code reviews.
Experience with DevOps practices and CI/CD tools, especially GitLab or Jenkins.
Strong verbal and written communication skills.
Experience with AGILE methodologies.
Team-oriented self-starter who can work independently.

Technologies

Python
FastAPI
Flask
Apache Kafka
Elasticsearch
Docker
Kubernetes
Linux
bash scripting
RESTful APIs
Git
GitLab
Jenkins
AWS
DGX (Deep GPU Xceleration)

Benefits

Competitive compensation
Health and Wellness programs
Income protection
Paid leave
Retirement benefits

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13d ago

Full Stack Python / AWS Lead Software Engineer

JPMorganChase Jersey City, NJ

Jersey City, NJ

13d ago

$152k - $215k/yr Full time Backend Developer Python Amazon Web Services

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Job Description

This onsite, Jersey City, NJ role offers a competitive annual salary of USD 152,000 to 215,000 and a benefits package designed to support health, growth, and financial security. You will join the Asset and Wealth Management Technology Team's Acceleration Lab to build cloud‑native, microservices‑based applications and advance AI assisted engineering practices to raise code quality, accelerate delivery, and strengthen operational resilience.

Benefits and culture

comprehensive health care coverage
on‑site health and wellness centers
retirement savings plan
backup childcare
tuition reimbursement
mental health support
financial coaching

What you will do

Invent and troubleshoot software solutions, applying non standard approaches to complex problems
Deliver end‑to‑end cloud native microservices based applications using modern technologies and industry best practices
Use domain modeling to create clear, testable, evolvable business products
Produce secure, high quality production code and review peers' work
Identify opportunities to automate recurring remediation to improve software stability
Lead communities of practice to promote new and leading edge technologies
Contribute to a culture of diversity, opportunity, inclusion, and respect
Investigate and resolve issues promptly and keep patterns and technologies up to date
Design architectures that avoid single points of failure and support scalable performance
Promote AI assisted engineering practices across teams to improve quality, speed, and operational outcomes, with measurable validation standards and pattern reuse
Leverage the software development lifecycle toolchain and approved AI capabilities to maximize automation value
Build scalable, secure, reliable solutions using modern patterns that enable zero downtime releases

What we require

Formal training or certification in software engineering plus 5+ years of applied experience
Back end proficiency with Python, Flask, Django and experience building microservices; front end skills including HTML, CSS, JavaScript, TypeScript, React or Angular
Ability to independently solve design and functionality challenges with minimal supervision
Experience with cloud platforms such as AWS, Azure, or GCP, distributed systems, RESTful APIs, WebSockets, and JSON
Hands-on experience designing and building scalable applications using SQL and NoSQL databases
Experience with agile methodologies (Scrum) and a solid understanding of the software development life cycle
Understanding of application resiliency
Proficiency in automation and continuous delivery; deep knowledge of SDLC, with advanced understanding of CI/CD, application resiliency, and security
Experience leading the effective use of enterprise authorized AI assisted development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, resiliency, and security; experience coaching senior engineers on compliant usage patterns
Demonstrated expertise in software applications and technical processes within a technical discipline (cloud, AI, ML, mobility, etc.)

Technologies you will work with

Python, Flask, Django
HTML, CSS, JavaScript, TypeScript, React, Angular
AWS, Azure, GCP
RESTful APIs, WebSockets, JSON
SQL, NoSQL
AI assisted software development tools

Preferred qualifications and capabilities

strong presentation, negotiation, mentoring, and stakeholder management
robust problem solving, analytical, and communications skills with a propensity to share best practices
experience in the banking domain
AWS certification

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