IBM Sterling Integrator Developer

Job Title : Senior DevOps Engineer

Location : Remote

Experience Level : 5+ Years

Role Overview :

We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.

Key Responsibilities:

Infrastructure Scalability & Reliability :

• Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
• Implement container orchestration using Kubernetes or Docker Compose.
• Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.

Deployment Automation :

• Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
• Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.

Monitoring & Observability :

• Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
• Establish centralized logging systems and create real-time dashboards for actionable insights.

Security & Compliance :

• Securely manage secrets using tools like HashiCorp Vault or Doppler.
• Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.

Collaboration & Team Enablement :

• Mentor and guide team members on DevOps best practices and workflows.
• Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.

Required Skills :

• Expertise in managing cloud platforms like AWS, GCP, or Azure.
• In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
• Advanced scripting capabilities in Python or Bash.
• Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
• Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
• Strong troubleshooting skills for debugging production systems and optimizing performance.

Preferred Qualifications :

• Experience in scaling AI or ML-based applications.
• Familiarity with distributed systems and microservices architecture.
• Understanding of agile methodologies and DevSecOps practices.
• Certifications in AWS, Azure, or Kubernetes.

What We Offer :

• Opportunity to work in a fast-paced AI startup environment.
• Flexible remote work culture.
• Competitive salary and equity options.
• Professional growth through challenging projects and learning opportunities.

Job Responsibilities:

• Managing and maintaining the efficient functioning of containerized applications and systems within an organization
• Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
• Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
• Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
• Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
• Ensure high availability, security, and scalability of infrastructure through automation and best practices
• Establish and enforce cloud security standards, policies, and procedures Work agile technologies
• 
  

Primary Requirements:

• Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
• Linux/Unix: Proficiency in administering complex Linux infrastructures and services
• Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the 
• knowledge of resource provisioning with Terraform or other Cloud-based utilities
• CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to 
• manage the build, test, packaging, containerization and release processes of software
• Scripting & Automation: Strong scripting and process automation skills in Bash, Python
• Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
• Version Control: Proficient with Git and familiar with GitOps workflows.
• Security: Strong understanding of security best practices in cloud and containerized 
• environments.

Skills/Traits that would be an advantage:

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

Responsibilities:

• Writing and maintaining the automation for deployments across various cloud (AWS/Azure/GCP)
• Bring a passion to stay on top of DevOps trends, experiment, and learn new CI/CD technologies.
• Creating the Architecture Diagrams and documentation for various pieces
• Build tools and automation to improve the system's observability, availability, reliability, performance/latency, monitoring, emergency response

Requirements:

• 3 - 5 years of professional experience as a DevOps / System Engineer.
• Strong knowledge in Systems Administration & troubleshooting skills with Linux.
• Experience with CI/CD best practices and tooling, preferably Jenkins, Circle CI.
• Hands-on experience with Cloud platforms such as AWS/Azure/GCP or private cloud environments.
• Experience and understanding of modern container orchestration, Well-versed with the containerised applications (Docker, Docker-compose, Docker-swarm, Kubernetes).
• Experience in Infrastructure as code development using Terraform.
• Basic Networking knowledge VLAN, Subnet, VPC, Webserver like Nginx, Apache.
• Experience in handling different SQL and NoSQL databases (PostgreSQL, MySQL, Mongo).
• Experience with GIT Version Control Software.
• Proficiency in any programming or scripting language such as Shell Script, Python, Golang.
• Strong interpersonal and communication skills; ability to work in a team environment.

• AWS / Kubernetes Certifications: AWS Certified Solutions Architect / CKA.
• Setup and management of a Kubernetes cluster, including writing Docker files.
• Experience working in and advocating for agile environments.
• Knowledge in Microservice architecture.

Key Responsibilities :

Look through the various DevOps Tools/Technologies and identify the strengths and provide direction to the DevOps automation team

Out-of-box thought process on the DevOps Automation Platform implementation

Expose various tools and technologies and do POC on integration of the these tools

Evaluate Backend API's for various DevOps tools

Perform code reviews keep in context of RASUI

Mentor the team on the various E2E integrations

Be Liaison in evangelizing the automation solution currently implemented

Bring in various DevOps best Practices/Principles and participate in adoption with various app teams

Must have:

Should possess Bachelors/Masters in computer science with minimum of 8+ years of experience

Should possess minimum 3 years of strong experience in DevOps

Should possess expertise in using various DevOps tools libraries and API's (Jenkins/JIRA/AWX/Nexus/GitHub/BitBucket/SonarQube)

Should possess expertise in optimizing the DevOps stack ( Containers/Kubernetes/Monitoring )

2+ Experience in creating solutions and translate to the development team

Should have strong understanding of OOPs, SDLC (Agile Safe standards)

Proficient in Python , with a good knowledge of its ecosystems (IDEs and Frameworks)

Proficient in various cloud platforms (Azure/AWS/Google cloud platform)

Proficient in various DevOps offerings (Pivotal/OpenStack/Azure DevOps