Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : DevOps
Good to have skills : Python (Programming Language), Java, Cloud Infrastructure
Minimum
5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AI Powered Tech Talent
Were looking for a Full Stack DevOps Engineer who combines software development expertise with strong DevOps and cloud infrastructure skills. Youll be responsible for designing, developing, deploying, and maintaining scalable web applications while implementing CI/CD pipelines, automating infrastructure, and ensuring high system reliability and performance.
Youll work closely with developers, QA engineers, and operations teams to streamline deployment processes and enhance development workflows.
Roles & Responsibilities:
- Design, develop, and maintain web applications using modern front-end and back-end technologies (e.g., React, Angular, Node.js, Python, Java, Go).
- Develop RESTful APIs and integrate with third-party services.
- Ensure performance, scalability, and security across the stack.
- Collaborate with UX/UI designers and product managers to deliver seamless user experiences
- Build and maintain CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or CircleCI.
- Manage infrastructure as code (IaC) using Terraform, CloudFormation, or Ansible, Pulumi and CrossPlane.
- Deploy and monitor applications in cloud environments (AWS, Azure, or GCP).
- Implement containerization and orchestration (Docker, Kubernetes, Helm).
- Set up automated monitoring, logging, and alerting (Prometheus, Grafana, ELK Stack, Datadog).
- Enhance system reliability, security, and scalability through automation and best practices.
- Participate in code reviews and DevOps strategy discussions.
- Troubleshoot and resolve production issues with a focus on uptime and performance.
- Implement security best practices and assist with compliance standards.
- Mentor junior developers and contribute to improving development workflows
Professional & Technical Skills:
- Backend: Python, Java, Node.js, Go, Ruby, C#
- Frontend: JavaScript/TypeScript, HTML, CSS
- Frontend: React, Angular, Vue.js
- Backend: Express.js, Spring Boot, Django, Flask
- RESTful and GraphQL API design and integration
- Git, GitHub/GitLab/Bitbucket workflows (branching, pull requests, CI triggers)
- CI/CD Pipelines:
Jenkins, GitHub Actions, GitLab CI, CircleCI, Travis CI, ArgoCD
- Infrastructure as Code (IaC):
Terraform, Ansible, AWS CloudFormation, Pulumi
- Configuration Management:
Chef, Puppet, Ansible, SaltStack
Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Loki, Datadog
AWS, Azure, Google Cloud Platform (GCP)
EC2, Lambda, VPC, Load Balancers, Route 53, DNS, VPNs
S3, RDS, DynamoDB, PostgreSQL, MySQL, MongoDB
Docker, Podman
Kubernetes (K8s), Helm, OpenShift
Linux (Ubuntu, CentOS, Alpine), Bash scripting, basic Windows Server knowledge
TCP/IP, DNS, SSL/TLS, HTTP/HTTPS, VPN, firewalls
IAM, Secrets Management (Vault, AWS Secrets Manager), SSH, encryption, vulnerability scanning
Unit, Integration, E2E tests (Jest, Cypress, PyTest, JUnit)
- Performance & Load Testing:
JMeter, k6, Locust
Application and system performance metrics
- Alerting & Incident Management:
PagerDuty, Opsgenie, Slack integrations
Centralized log management (ELK, Fluentd, Splunk)
- Secure coding practices (OWASP Top 10)
- Infrastructure security (network isolation, encryption)
- Compliance frameworks (GDPR, SOC 2, HIPAA if applicable)
Additional Information:
- Strong problem-solving and debugging skills
- Collaboration with developers, QA, and IT teams
- Understanding agile methodologies (Scrum, Kanban)
- Continuous learning and adapting to new tools and cloud services
- Serverless architectures (AWS Lambda, Azure Functions)
- GitOps (Flux, ArgoCD)
- AIOps and observability automation
- SRE principles (Service Level Indicators/Objectives)
Resource needs to be AI Ready.