Ziploan - DevOps Engineer

We are hiring a Senior DevOps Engineer (5–10 years experience) with strong hands-on expertise in AWS, CI/CD, Docker, Kubernetes, and Linux. The role involves designing, automating, and managing scalable cloud infrastructure and deployment pipelines. Experience with Terraform/Ansible, monitoring tools, and security best practices is required. Immediate joiners preferred.

Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines

OVERVIEW

We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.

The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.

CORE TECHNICAL REQUIREMENTS

Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.

Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.

CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.

Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.

PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.

Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.

WHAT YOU WILL OWN

Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.

Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.

VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.

Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.

Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.

Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.

WHAT SUCCESS LOOKS LIKE

Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.

ENGINEERING STANDARDS

Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.

Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.

Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.

Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.

CURRENT ENVIRONMENT

GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.

WHAT WE ARE LOOKING FOR

Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.

Calm Under Pressure: When production breaks, you diagnose methodically.

Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.

Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.

EDUCATION

University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Job Description

We are seeking a skilled DevOps Specialist to join our global automotive team. As DevOps Specialist, you will be responsible for managing operations, system monitoring, troubleshooting, and supporting automation workflows to ensure operational stability and excellence for enterprise IT projects. You will be providing support for critical application environments for industry leaders in the automotive industry. 

Responsibilities:

Daily maintenance tasks on application availability, response times, pro-active incident tracking on system logs and resources monitoring

Incident Management: Monitor and respond to tickets raised by the DevOps team or end-users. 

Support users with prepared troubleshooting Maintain detailed incident logs, track SLAs, and prepare root cause analysis reports.

Change & Problem Management: Support scheduled changes, releases, and maintenance activities. Assist in identifying and tracking recurring issues. 

Documentation & Communication: Maintain process documentation, runbooks, and knowledge base articles. Provide regular updates to stakeholders on incidents and resolutions. 

Tool & Platform Support: Manage and troubleshoot CI/CD tools (e.g., Jenkins, GitLab), container platforms (e.g., Docker, Kubernetes), and cloud services (e.g., AWS, Azure).

Requirements:

DevOps Skillset: Logfile analysis /troubleshooting (ELK Stack), Linux administration, Monitoring (App Dynamics, Checkmk, Prometheus, Grafana), Security (Black Duck, SonarQube, Dependabot, OWASP or similar)

Experience with Docker.

Familiarity with DevOps principles and ticket tools like ServiceNow.

Experience in handling confidential data and safety sensitive systems

Strong analytical, communication, and organizational abilities. Easy to work with.

Optional: Experience with our relevant business domain (Automotive / Manufacturing industry, especially production management systems). Familiarity with IT process frameworks SCRUM, ITIL. 

Skills & Requirements

DevOps, Logfile Analysis, Troubleshooting, ELK Stack, Linux Administration, Monitoring, AppDynamics, Checkmk, Prometheus, Grafana, Security, Black Duck, SonarQube, Dependabot, OWASP, Docker, CI/CD, Jenkins, GitLab, Kubernetes, AWS, Azure, ServiceNow, Incident Management, Change Management, Problem Management, Documentation, Communication, Analytical Skills, Organizational Skills, SCRUM, ITIL, Automotive Industry, Manufacturing Industry, Production Management Systems.

Responsibilities:

- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.

- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.

- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.

- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.

- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.

- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.

- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.

- Ensure high availability, performance, and security of cloud infrastructure and applications.

- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.

Requirements:

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.

- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.

- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.

- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.

- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.

- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.

- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.

Job Description

• Minimum 3+ yrs of Experience in DevOps with AWS Platform

• Strong AWS knowledge and experience

• Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)

• Experience with IAC tools Terraform

• Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)

• Significant experience with Linux operating system environments

• Experience with infrastructure scripting solutions such as Python/Shell scripting

• Must have experience in designing Infrastructure automation framework.

• Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)

• Excellent problem-solving, Log Analysis and troubleshooting skills

• Experience in setting up centralized logging for system (EKS, EC2) and application

• Process-oriented with great documentation skills

• Ability to work effectively within a team and with minimal supervision

• Develop and Maintain IAC using Terraform and Ansible
• Draft design documents that translate requirements into code.
• Deal with challenges associated with scale.
• Assume responsibilities from technical design through technical client support.
• Manage expectations with internal stakeholders and context-switch in a fast paced environment.
• Thrive in an environment that uses Elasticsearch extensively.
• Keep abreast of technology and contribute to the engineering strategy.
• Champion best development practices and provide mentorship

• Terraform o Ansible
• *nix and shell scripting
• Elasticsearch
• Circle CI
• CloudFormation
• Python
• Packer
• Docker
• Prometheus and Grafana
• Challenges of scale
• Production support
• Sharp analytical and problem-solving skills.
• Strong sense of ownership.
• Demonstrable desire to learn and grow.
• Excellent written and oral communication skills.
• Mature collaboration and mentoring abilities.

We are looking for a full-time remote DevOps Engineer who has worked with CI/CD automation, big data pipelines and Cloud Infrastructure, to solve complex technical challenges at scale that will reshape the healthcare industry for generations. You will get the opportunity to be involved in the latest tech in big data engineering, novel machine learning pipelines and highly scalable backend development. The successful candidates will be working in a team of highly skilled and experienced developers, data scientists and CTO.

Job Requirements

• Experience deploying, automating, maintaining, and improving complex services and pipelines • Strong understanding of DevOps tools/process/methodologies
• Experience with AWS Cloud Formation and AWS CLI is essential
• The ability to work to project deadlines efficiently and with minimum guidance
• A positive attitude and enjoys working within a global distributed team

Skills

• Highly proficient working with CI/CD and automating infrastructure provisioning
• Deep understanding of AWS Cloud platform and hands on experience setting up and maintaining with large scale implementations
• Experience with JavaScript/TypeScript, Node, Python and Bash/Shell Scripting
• Hands on experience with Docker and container orchestration
• Experience setting up and maintaining big data pipelines, Serverless stacks and containers infrastructure
• An interest in healthcare and medical sectors
• Technical degree with 4 plus years’ infrastructure and automation experience