DevOps / MLOps Engineer

at Capital Squared

DevOps / MLOps Engineer

Capital Squared

Company

Home

DevOps / MLOps Engineer

at Capital Squared

Posted by Hiring Team

5 - 10 yrs

₹25L - ₹55L / yr

Remote only

Skills

MLOps

DevOps

Google Cloud Platform (GCP)

CI/CD

PostgreSQL

Docker

Python

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.

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

OVERVIEW

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.

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

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.

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

Companies hiring on Cutshort

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.

Company social profiles

N/A

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1-3 years of experience in DevOps
Experience in setting up front end best practices
Working in high growth startups
Ownership and Be Proactive.
Mentorship & upskilling mindset.
systems and applications
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Have hands-on experience in Proactive monitoring using tools like NewRelic, Prometheus, Grafana, Fluentbit, etc.
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Exposure on Jira, confluence, and Sprints.

What you will do:

Mentor junior Devops engineers and improve the team’s bar
Primary owner of tech best practices, tech processes, DevOps initiatives, and timelines
Oversight of all server environments, from Dev through Production.
Responsible for the automation and configuration management
Provides stable environments for quality delivery
Assist with day-to-day issue management.
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Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
Understanding of IAM, RBAC, NACLs, and KMS
Good communication skills

Good to have:

Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
Knowledge of database administration such as MongoDB.
Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.

Responsibilities

Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
Establish and promote DevOps thinking, guidelines, best practices, and standards.
Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.

Total Experience: 6 – 12 Years

Required Skills and Experience

3+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
3+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
Building and running Docker images and deployment on Amazon ECS
Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
Understanding of IAM, RBAC, NACLs, and KMS
Good communication skills

Good to have:

Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
Knowledge of database administration such as MongoDB.
Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.

Responsibilities

Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
Establish and promote DevOps thinking, guidelines, best practices, and standards.
Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.

DevOps Engineer

at PRAXINFO

1 recruiter

Posted by Umang Kathiyara

Ahmedabad

1 - 3 yrs

₹4L - ₹6L / yr

DevOps

Amazon Web Services (AWS)

Docker

Kubernetes

ECS

+4 more

PRAXINFO Hiring DevOps Engineer.

Position : DevOps Engineer

Job Location : C.G.Road, Ahmedabad

EXP : 1-3 Years

Salary : 40K - 50K

Required skills:

⦿ Good understanding of cloud infrastructure (AWS, GCP etc)

⦿ Hands on with Docker, Kubernetes or ECS

⦿ Ideally strong Linux background (RHCSA , RHCE)

⦿ Good understanding of monitoring systems (Nagios etc), Logging solutions (Elastisearch etc)

⦿ Microservice architectures

⦿ Experience with distributed systems and highly scalable systems

⦿ Demonstrated history in automating operations processes via services and tools ( Puppet, Ansible etc)

⦿ Systematic problem-solving approach coupled with a strong sense of ownership and drive.

If anyone is interested than share your resume at hiring at praxinfo dot com!

#linux #devops #engineer #kubernetes #docker #containerization #python #shellscripting #git #jenkins #maven #ant #aws #RHCE #puppet #ansible

PRAXINFO Hiring DevOps Engineer.

Position : DevOps Engineer

Job Location : C.G.Road, Ahmedabad

EXP : 1-3 Years

Salary : 40K - 50K

Required skills:

⦿ Good understanding of cloud infrastructure (AWS, GCP etc)

⦿ Hands on with Docker, Kubernetes or ECS

⦿ Ideally strong Linux background (RHCSA , RHCE)

⦿ Good understanding of monitoring systems (Nagios etc), Logging solutions (Elastisearch etc)

⦿ Microservice architectures

⦿ Experience with distributed systems and highly scalable systems

⦿ Demonstrated history in automating operations processes via services and tools ( Puppet, Ansible etc)

⦿ Systematic problem-solving approach coupled with a strong sense of ownership and drive.

If anyone is interested than share your resume at hiring at praxinfo dot com!

#linux #devops #engineer #kubernetes #docker #containerization #python #shellscripting #git #jenkins #maven #ant #aws #RHCE #puppet #ansible

Devops with Python.

at Ionos Networks

2 recruiters

Posted by Rashmi Shastry

Bengaluru (Bangalore), Bengaluru (Bangalore)

3 - 7 yrs

₹4L - ₹15L / yr

Python

DevOps

Test Automation (QA)

Engineer need to work in capacity of a DevOps, responsible of maintaining cloud deployment up and running. Should have hands on experience on various Devops Tools and Monitoring Framework. He should be able to put together open source tools and framework to solve Operational Issues. Should be able to test and debug live issues on various components/services deployed on cloud. Engineer should be able to automate scripts, write tools in python to monitor & test various services and their communication. Should be able to manually test functionality for various components & automate functional, load and performance scenarios and relay feedback to engineering. He should be able to identify functionality gaps and should relay them to engineering as enhancements Candidate should be able to support customer deployment during late hours.

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