Associate Software Engineer (REMOTE / Python)

John Galt Staffing, Inc.
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Java
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Confluence
JIRA
Azure
Cloud Computing
Configuration Management
Computer Programming
Continuous Integration
Linux
DevOps
DNS
Elasticsearch
Identity and Access Management
JSON
Python
Maven
Cisco Nexus Switches
Public Key Infrastructure
Logstash
Ansible
Prometheus
Security Information and Event Management
Software Engineering
Data Streaming
Software Vulnerability Management
YAML
Data Logging
Delivery Pipeline
Grafana
Prompt Engineering
Amazon Web Services (AWS)
Gitlab
GIT
Cloudformation
Containerization
Git Flow
Kubernetes
Infrastructure Automation Frameworks
Kafka
Functional Programming
Api Design
Cloudwatch
Kibana
Terraform
Splunk
Software Version Control
Amazon Web Services (AWS)
Docker
ELK

Requirements

Requires a Bachelor's degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field. Also requires 2+ years of job-related experience, OR a Master's degree with 6 months of job-related experience.

Skills: Python / Java programming languages Understanding of DevOps principles: Knowledge of CI/CD pipelines, GitOps, automation, configuration management, and infrastructure as code Familiar with Scaled Agile methodology and its best practice Security knowledge: Familiarity with security best practices, risk, compliance & vulnerability management, encryption & PKI, incident response, auditing and monitoring Programming and scripting: Proficiency and strong knowledge in languages such as Python, Linux/UNIX, YAML, and JSON. Cloud platforms: Experience with AWS (AWS Solutions Architect strongly preferred) and its services (including fundamental AWS networking), knowing Azure is a plus Containerization: Knowledge of Docker and Kubernetes Strong understanding of API Design, testing, development and management Collaboration and communication: Ability to communicate and work effectively with development team members, operations, and security teams Problem-solving and analytical skills: Ability to identify issues and develop effective solutions Documentation: Well versed in generating documentation and sharing important knowledge Artificial Intelligence: Well versed in prompt engineering and utilizing popular AI tools to accelerate workload

Tools: CI/CD tools: Gitlab, Nexus Managed Artifacts, AWS: AWS EKS, EC2, Lambda, S3, EBS/EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail Configuration management: Ansible, Terragrunt, ArgoCD Build/Development: VS Code, Maven Event streaming platform (nice to have): Kafka messaging Container orchestration: Kubernetes, Docker, Security, Monitoring and logging: ACAS/Grype vulns scanning, SIEM (Splunk) Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) Version control: Git Infrastructure as Code: Terraform, CloudFormation Collaboration: Jira, Confluence

What Sets You Apart: Proven ability to execute the software development process Expertise in applying technical standards and methodologies creatively Collaborative team player with a knack for technical leadership Up-to-date with technology trends and enthusiastic about championing new ideas and process improvements Commitment to ongoing professional development for yourself and your team Identifies opportunities to apply AI for continuous improvement and innovation

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