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Sr. DevOps Engineer
Aperture Cloud · Indexed today
About the role
Implement and manage DevOps practices and tools for cloud infrastructure.
Matellio India Private Limited is hiring Sr. DevOps Engineer job in Jaipur (Remote friendly) | Cutshort
Sr. DevOps Engineer
Sr. DevOps Engineer
5
\- 12 yrs
₹5L - ₹13L / yr
Remote, Jaipur
Skills
DevOps
Windows Azure
Amazon Web Services (AWS)
Docker
Kubernetes
Ansible
Jenkins
Scripting language
– At least 5 year of experience in Cloud technologies-AWS and Azure and developing.
– Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
– Hands on experience in DevOps tools configuration in different environments.
– Strong knowledge of working with DevOps design patterns, processes and best practices
– Hand-on experience in Setting up Build pipelines.
– Prior working experience in system administration or architecture in Windows or Linux.
– Must have experience in GIT (BitBucket, GitHub, GitLab)
– Hands-on experience on Jenkins pipeline scripting.
– Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
– Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
– Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
– Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
– Good to have experience in migrating code repositories from one source control to another.
– Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
– Must have good communication skills and problem solving skills
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Companies hiring on Cutshort
Founded
:
1998
Type
:
Services
Size
:
100-1000
Stage
:
Profitable
About
As an end-to-end web and mobile app development company, we help businesses create robust, IoT, AI/ ML, and Location-based solutions. Get in touch to book a free consultation!
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Hiring Team
Remote only
5
\- 10 yrs
₹25L - ₹55L / yr
MLOps
DevOps
Google Cloud Platform (GCP)
CI/CD
PostgreSQL
+4 more
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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Posted by
Rakhi Daga
Mumbai
8
\- 10 yrs
₹1L - ₹1L / yr
Docker
Kubernetes
DevOps
Amazon Web Services (AWS)
Windows Azure
+1 more
LogiNext is looking for a technically savvy and passionate Principal DevOps Engineer or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.
Responsibilities:
Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations to automate daily tasks Ensure High Availability and Auto-failover with minimum or no manual interventions
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 8 to 10 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in query analysis, peformance tuning, database redesigning, Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available ser
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FAQ
Is the Sr. DevOps Engineer role at Aperture Cloud remote?+
This Sr. DevOps Engineer position is listed as onsite.
What is the salary for the Sr. DevOps Engineer role at Aperture Cloud?+
The listing states 59000-152000 INR.
What seniority level is this Sr. DevOps Engineer role?+
This is a senior level position.
How do I apply for the Sr. DevOps Engineer role at Aperture Cloud?+
Use the "Apply on cutshort" button to open the original posting on cutshort, where you can submit your application directly to Aperture Cloud.