Docker
Kubernetes
Amazon Web Services (AWS)As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.
-
Development of automation scripts and pipelines for deployment and monitoring of new production environments.
-
Development of automation scripts for upgrades, hotfixes deployments and maintenance.
-
Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.
-
Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.
-
Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.
-
Write Knowledge articles to document known issues and best practices.
-
Conduct regression tests to validate solutions or workarounds.
-
Work in a globally distributed team.
What achievements should you have so far?
-
Bachelor's or master’s degree in Computer Science, Information Systems, or equivalent.
-
Experience with containerization, deployment, and operations.
-
Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).
-
Good experience with Linux systems and Shell scripting.
-
Basic cloud experience, preferably oriented on MS Azure.
-
Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).
-
Good Networking skills and experience.
-
Having Terraform or CloudFormation knowledge will be considered a plus.
-
Ability to analyze a task from a system perspective.
-
Excellent problem-solving and troubleshooting skills.
-
Excellent written and verbal communication skills; mastery in English and local language.
-
Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Quber Technologies Limited
About
Connect with the team
Company social profiles
Similar jobs
PythonKubernetesDockerAmazon Web Services (AWS)DevOps Engineer
Location: Bangalore office
About Peliqan
Peliqan is an all-in-one data platform combining ELT/ETL pipelines, a built-in data warehouse, SQL and low-code Python transformations, reverse ETL, and AI-powered data activation. We connect 250+ data sources and serve enterprise teams, consultants, and SaaS companies. SOC 2 Type II certified and GDPR compliant.
The Role
Own and evolve the infrastructure powering Peliqan's multi-tenant data platform. You'll manage Kubernetes clusters, cloud resources, CI/CD pipelines, and monitoring — keeping everything reliable, secure, and scalable. You'll be the go-to person for infrastructure support across the engineering team.
Responsibilities
Manage and optimise Kubernetes clusters running production workloads — data pipelines, APIs, and customer-facing services.
Maintain Docker-based local development environments for the engineering team.
Administer cloud infrastructure on AWS and Google Cloud (compute, storage, networking, managed databases).
Build and maintain CI/CD pipelines for automated testing, building, and deploying across staging and production.
Set up and manage monitoring, alerting, and logging for platform health and incident response.
Manage release processes — deployments, rollbacks, and release strategies.
- Maintain infrastructure-as-code using Helm charts.
- Support security hardening and compliance efforts (SOC 2, GDPR).
Requirements
3+ years in a DevOps, SRE, or Infrastructure Engineering role.
Strong hands-on experience with Kubernetes and Helm charts.
Deep familiarity with Docker for containerisation and local dev workflows.
Production experience with AWS and/or Google Cloud.
- Proficiency in Python and Bash scripting for automation and tooling.
- Solid grasp of DevOps principles: infrastructure-as-code, GitOps, observability, continuous delivery.
- Experience with CI/CD platforms (GitHub Actions, GitLab CI, or similar).
Nice to Have
- Experience supporting multi-tenant SaaS platforms or data infrastructure at scale.
- Knowledge of PostgreSQL, MySQL, or cloud-managed database administration.
- Exposure to security compliance frameworks (SOC 2, ISO 27001, GDPR).
KubernetesWe 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.
DockerKubernetesAmazon Web Services (AWS)
LogiNext is looking for a technically savvy and passionate Junior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
Knowledge in building secure, high-performing and scalable infrastructure. Experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.
Responsibilities:
Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 0 to 1 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Knowledge in Linux/Unix Administration and Python/Shell Scripting Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Knowledge 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 enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
DockerKubernetesAmazon Web Services (AWS)environment. He/she must demonstrate a high level of ownership, integrity, and leadership
skills and be flexible and adaptive with a strong desire to learn & excel.
Required Skills:
- Strong experience working with tools and platforms like Helm charts, Circle CI, Jenkins,
- and/or Codefresh
- Excellent knowledge of AWS offerings around Cloud and DevOps
- Strong expertise in containerization platforms like Docker and container orchestration platforms like Kubernetes & Rancher
- Should be familiar with leading Infrastructure as Code tools such as Terraform, CloudFormation, etc.
- Strong experience in Python, Shell Scripting, Ansible, and Terraform
- Good command over monitoring tools like Datadog, Zabbix, Elk, Grafana, CloudWatch, Stackdriver, Prometheus, JFrog, Nagios, etc.
- Experience with Linux/Unix systems administration.
KubernetesDocker
PostgreSQLAbout Hive
Hive is the leading provider of cloud-based AI solutions for content understanding,
trusted by the world’s largest, fastest growing, and most innovative organizations. The
company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
About Role
Our unique machine learning needs led us to open our own data centers, with an
emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds when the right fit. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS offering for our customers. Our ideal candidate is someone who is
able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in optimizing performance at scale in every part of the stack and never manually performing the same task twice.
Responsibilities
● Create tools and processes for deploying and managing hardware for Private Cloud Infrastructure.
● Improve workflows of developer, data, and machine learning teams
● Manage integration and deployment tooling
● Create and maintain monitoring and alerting tools and dashboards for various services, and audit infrastructure
● Manage a diverse array of technology platforms, following best practices and
procedures
● Participate in on-call rotation and root cause analysis
Requirements
● Minimum 5 - 10 years of previous experience working directly with Software
Engineering teams as a developer, DevOps Engineer, or Site Reliability
Engineer.
● Experience with infrastructure as a service, distributed systems, and software design at a high-level.
● Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment.
● Able to debug, optimize, and automate routine tasks
● Able to multitask, prioritize, and manage time efficiently independently
● Can communicate effectively across teams and management levels
● Degree in computer science, or similar, is an added plus!
Technology Stack
● Operating Systems - Linux/Debian Family/Ubuntu
● Configuration Management - Chef
● Containerization - Docker
● Container Orchestrators - Mesosphere/Kubernetes
● Scripting Languages - Python/Ruby/Node/Bash
● CI/CD Tools - Jenkins
● Network hardware - Arista/Cisco/Fortinet
● Hardware - HP/SuperMicro
● Storage - Ceph, S3
● Database - Scylla, Postgres, Pivotal GreenPlum
● Message Brokers: RabbitMQ
● Logging/Search - ELK Stack
● AWS: VPC/EC2/IAM/S3
● Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems,
RAID, distributed file systems, NFS / iSCSI / CIFS
Who we are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the
development of the company.
Thank you for your interest in Hive and we hope to meet you soon
KubernetesDockerAmazon Web Services (AWS) 3-5 years of experience in DevOps, systems administration, or software engineering roles.
B. Tech. in computer science or related field from top tier engineering colleges.
Strong technical skills in software development, systems administration, and cloud infrastructure management.
Experience with infrastructure-as-code tools such as Terra form or Cloud Formation.
Experience with containerization technologies such as Dockers and Kubernetes.
Experience with cloud providers such as AWS or Azure.
Experience with scripting languages such as Bash or Python.
Strong problem-solving and analytical skills.
Strong communication and collaboration skills
KubernetesDockerAmazon Web Services (AWS)About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Implement consistent observability, deployment and IaC setups
- Lead incident management and actively respond to escalations/incidents in the production environment from customers and the support team.
- Hire/Mentor other Infrastructure engineers and review their work to continuously ship improvements to production infrastructure and its tooling.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Lead infrastructure security audits
Requirements
- At least 7 years of experience in handling/building Production environments in AWS.
- At least 3 years of programming experience in building API/backend services for customer-facing applications in production.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Experience in security hardening of infrastructure, systems and services.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Exposure/Experience in setting up or managing Cloudflare, Qualys and other related tools
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – Hands-on experience with Nginx, Postgres, Postfix, Redis or Mongo systems.
Amazon Web Services (AWS)Kubernetes
Git- Preferred experience in development associated with Kafka or big data technologies understand essential Kafka components like Zookeeper, Brokers, and optimization of Kafka clients applications (Producers & Consumers). -
Experience with Automation of Infrastructure, Testing , DB Deployment Automation, Logging/Monitoring/alerting
- AWS services experience on CloudFormation, ECS, Elastic Container Registry, Pipelines, Cloudwatch, Glue, and other related services.
- AWS Elastic Kubernetes Services (EKS) - Kubernetes and containers managing and auto-scaling -
Good knowledge and hands-on experiences with various AWS services like EC2, RDS, EKS, S3, Lambda, API, Cloudwatch, etc.
- Good and quick with log analysis to perform Root Cause Analysis (RCA) on production deployments and container errors on cloud watch.
Working on ways to automate and improve deployment and release processes.
- High understanding of the Serverless architecture concept. - Good with Deployment automation tools and Investigating to resolve technical issues.
technical issues. - Sound knowledge of APIs, databases, and container-based ETL jobs.
- Planning out projects and being involved in project management decisions. Soft Skills
- Adaptability
- Collaboration with different teams
- Good communication skills
- Team player attitude
DockerKubernetesAmazon Web Services (AWS)Excellent understanding of SDLC patching, releases and software development at scale.
Excellent knowledge of Git.
Excellent knowledge of Docker.
Good understanding of enterprise standards ond enterprise building principles,
In-depth knowledge in Windows OS
Knowledge of Linux os
Theoretical and practical skills in Web-environments based on .Net technologies, e.g. Ils,
Kestrel, .Net Core, C#.
Strong scripting skills in one or any combination of CMD Shell,Bash, PowerShell. Python.
Good understanding of the mechanisms of Web-environment architectures approaches.
Strong knowledge of cloud providers offering, Azure or AWS.
Good knowledge of a configuration management tools, Ansible, Chef, Salt stack, Puppet.
(Good to have)
Good knowledge of cloud infrastructure orchestration tools like kubemetes or cloud based orchestration.
Good knowledge in one or any combination of cloud infrastructure provisioning tools like
ARM Templates, Terraform, Pulumi.
In-depth knowledge in one or any combination of software delivery orchestration tools like Azure Pipelines, Jenkins Pipelines, Octopus Deploy, etc.
Strong practical knowledge of CI Tools, ie, Azure Devops, Jenkins Excellent knowledge of Continuous Integration and Delivery approaches
Good knowledge on integration of Code Quality tools like SonarQube, Application or Container Security tool like Vera Code, Checksum, Chekov, Trivy.
In-depth knowledge on Azure DevOps Build infrastructure setup, Azure DevOps
Administration and Access management
KubernetesDockerOne of our US based client is looking for a Devops professional who can handle Technical as well as Trainings for them in US.
If you are hired, you will be sent to US for the working from there. Training & Technical work ratio will be 70% & 30% respectively.
Company Will sponsor for US Visa.
If you are an Experienced Devops professional and also given professional trainings then feel free to connect with us for more.
Implement integrations requested by customers
Deploy updates and fixes
Provide Level 2 technical support
Build tools to reduce occurrences of errors and improve customer experience
Develop software to integrate with internal back-end systems
Perform root cause analysis for production errors
Investigate and resolve technical issues
Develop scripts to automate visualization
Design procedures for system troubleshooting and maintenance
Multiple Clouds [AWS/Azure/GCP] hands on experience
Good Experience on Docker implementation at scale.
Kubernets implementation and orchestration.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon