Python SWE WFH Potential [$224k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.

Jessup, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Compensation

$ 224K

Job location

Remote

Jessup, United States of America

Tech stack

Testing (Software)

Algorithm Design

Amazon Web Services (AWS)

Systems Engineering

Software Documentation

Databases

Data Stores

Software Debugging

Django

Middleware

Data Flow Control

JSON

Python

PostgreSQL

MariaDB

MongoDB

Software Architecture

Simple Data Format

Software Engineering

SQL Databases

Flask

Backend

Usage Tracking

REST

Docker

Microservices

Job description

Develop automated system security evaluation and continuous monitoring capabilities.
Develop, test, deploy, and sustain Python-based ReST endpoints, microservices, and data model management.
Interact with MongoDB and PostgreSQL.
Provide middleware and backend support.
Debug, design, code, and integrate software.
Develop data queries, write documentation, implement algorithms, and analyze system performance and requirements.
Utilize AWS and Docker.
The position is mostly in-person and on-site. Telework potential after 60 days from hire (Wednesday/Thursday), with final determination based on team needs and the nature of prioritized work that can be performed from home., * Develop capabilities to shift from manual system security evaluation and authorization processes to a new model emphasizing automation, streamlined processes, continuous monitoring, and network data gathering across the project lifecycle.
Provide development, test, deploy, and sustainment of various Python-based ReST endpoints, microservices, and data model management capabilities utilizing Django and Flask frameworks.
Interact with data models such as MariaDB, MongoDB, and PostgreSQL to send data upon request, in JSON format, to UI front ends.
Provide middleware and backend support to all system applications.
Debug existing software and correct defects.
Provide recommendations for improving documentation and software development process standards.
Design and code new software or modify existing software to add new features.
Integrate existing software into new or modified systems or operating environments.
Develop simple data queries for existing or proposed databases or data repositories.
Write or review software and system documentation.
Develop or implement algorithms to meet or exceed system performance and functional standards.
Develop software solutions by analyzing system performance standards, conferring with users or system engineers; analyzing systems flow, data usage and work processes; and investigating problem areas.
Modify existing software to correct errors to improve its performance.
Key skills include: Algorithm Development, AWS, Communications/Technical Writing, Database Engineering, Dataflow, Django, Docker, Full life cycle software development, MongoDB, PostgreSQL, Python, Requirements Analysis, Restful Web Services, Software Architecture, Software Development, Software Testing, SQL, System Security, Systems Engineering.