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DevOps / MLOps Engineer
DevOps / MLOps Engineer
Capital Squared's logo

DevOps / MLOps Engineer

Hiring Team's profile picture
Posted by Hiring Team
5 - 10 yrs
₹25L - ₹55L / yr
Remote only
Skills
MLOps
DevOps
Google Cloud Platform (GCP)
CI/CD
skill iconPostgreSQL
skill iconDocker
skill iconPython
Terraform
yaml

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.

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About Capital Squared

Founded :
2025
Type :
Product
Size :
0-20
Stage :
Raised funding

About

At Capital Squared, our quant fund harnesses machine learning and deep learning to smartly invest in digital assets, aiming for consistent growth.
Read more

Company social profiles

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Shubham Vishwakarma

Full Stack Developer - Averlon
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