Docker
Kubernetes
Amazon Web Services (AWS)
Python
JenkinsJob description
The role requires you to design development pipelines from the ground up, Creation of Docker Files, design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.
Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.
Requirement
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
Must Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash,shell Python, Go), Ngnix, Docker.
Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Ngios or similar), IaC(Terraform, cloudformation).
Shubham Vishwakarma
Full Stack Developer - Averlon
About MyOperator - VoiceTree Technologies
About
MyOperator is a Business AI Operator and a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform.
Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.
Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement.
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PostgreSQLRole: 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.
Amazon Web Services (AWS)PythonAt TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking 4 DevOps Support Engineer to join one of our clients' teams in India who can start until 20th of July. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Job requirements
Key Responsibilities:
- Monitor and troubleshoot AWS and/or Azure environments to ensure optimal performance and availability.
- Respond promptly to incidents and alerts, investigating and resolving issues efficiently.
- Perform basic scripting and automation tasks to streamline cloud operations (e.g., Bash, Python).
- Communicate clearly and fluently in English with customers and internal teams.
- Collaborate closely with the Team Lead, following Standard Operating Procedures (SOPs) and escalation workflows.
- Work in a rotating shift schedule, including weekends and nights, ensuring continuous support coverage.
Shift Details:
- Engineers rotate shifts, typically working 4–5 shifts per week.
- Each engineer works about 4 to 5 shifts per week, rotating through morning, evening, and night shifts—including weekends—to cover 24/7 support evenly among the team
- Rotation ensures no single engineer is always working nights or weekends; the load is shared fairly among the team.
Qualifications:
- 2–5 years of experience in DevOps or cloud support roles.
- Strong familiarity with AWS and/or Azure cloud environments.
- Experience with CI/CD tools such as GitHub Actions or Jenkins.
- Proficiency with monitoring tools like Datadog, CloudWatch, or similar.
- Basic scripting skills in Bash, Python, or comparable languages.
- Excellent communication skills in English.
- Comfortable and willing to work in a shift-based support role, including night and weekend shifts.
- Prior experience in a shift-based support environment is preferred.
What We Offer:
- Remote work opportunity — work from anywhere in India with a stable internet connection.
- Comprehensive training program including:
- Shadowing existing processes to gain hands-on experience.
- Learning internal tools, Standard Operating Procedures (SOPs), ticketing systems, and escalation paths to ensure smooth onboarding and ongoing success.
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DockerKubernetesAmazon Web Services (AWS)About the role:
We are seeking a highly skilled Azure DevOps Engineer with a strong background in backend development to join our rapidly growing team. The ideal candidate will have a minimum of 4 years of experience and has have extensive experience in building and maintaining CI/CD pipelines, automating deployment processes, and optimizing infrastructure on Azure. Additionally, expertise in backend technologies and development frameworks is required to collaborate effectively with the development team in delivering scalable and efficient solutions.
Responsibilities
- Collaborate with development and operations teams to implement continuous integration and deployment processes.
- Automate infrastructure provisioning, configuration management, and application deployment using tools such as Ansible, and Jenkins.
- Design, implement, and maintain Azure DevOps pipelines for continuous integration and continuous delivery (CI/CD)
- Develop and maintain build and deployment pipelines, ensuring that they are scalable, secure, and reliable.
- Monitor and maintain the health of the production infrastructure, including load balancers, databases, and application servers.
- Automate the software development and delivery lifecycle, including code building, testing, deployment, and release.
- Familiarity with Azure CLI, Azure REST APIs, Azure Resource Manager template, Azure billing/cost management and the Azure Management Console
- Must have experience of any one of the programming language (Java, .Net, Python )
- Ensure high availability of the production environment by implementing disaster recovery and business continuity plans.
- Build and maintain monitoring, alerting, and trending operational tools (CloudWatch, New Relic, Splunk, ELK, Grafana, Nagios).
- Stay up to date with new technologies and trends in DevOps and make recommendations for improvements to existing processes and infrastructure.
- ontribute to backend development projects, ensuring robust and scalable solutions.
- Work closely with the development team to understand application requirements and provide technical expertise in backend architecture.
- Design and implement database schemas.
- Identify and implement opportunities for performance optimization and scalability of backend systems.
- Participate in code reviews, architectural discussions, and sprint planning sessions.
- Stay updated with the latest Azure technologies, tools, and best practices to continuously improve our development and deployment processes.
- Mentor junior team members and provide guidance and training on best practices in DevOps.
Required Qualifications
- BS/MS in Computer Science, Engineering, or a related field
- 4+ years of experience as an Azure DevOps Engineer (or similar role) with experience in backed development.
- Strong understanding of CI/CD principles and practices.
- Expertise in Azure DevOps services, including Azure Pipelines, Azure Repos, and Azure Boards.
- Experience with infrastructure automation tools like Terraform or Ansible.
- Proficient in scripting languages like PowerShell or Python.
- Experience with Linux and Windows server administration.
- Strong understanding of backend development principles and technologies.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Problem-solving and analytical skills.
- Experience with industry frameworks and methodologies: ITIL/Agile/Scrum/DevOps
- Excellent problem-solving, critical thinking, and communication skills.
- Have worked in a product based company.
What we offer:
- Competitive salary and benefits package
- Opportunity for growth and advancement within the company
- Collaborative, dynamic, and fun work environment
- Possibility to work with cutting-edge technologies and innovative projects
Amazon Web Services (AWS)PythonJenkinsExperience of Linux
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
DockerJenkinsAmazon Web Services (AWS)Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Being involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Ensuring reliable operation of CI/ CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creating Docker files
- Creating Bash/ Python scripts for automation.
- Performing root cause analysis for production errors.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
KubernetesDockerAmazon Web Services (AWS)A.P.T Portfolio, a high frequency trading firm that specialises in Quantitative Trading & Investment Strategies.Founded in November 2009, it has been a major liquidity provider in global Stock markets.
As a manager, you would be incharge of managing the devops team and your remit shall include the following
- Private Cloud - Design & maintain a high performance and reliable network architecture to support HPC applications
- Scheduling Tool - Implement and maintain a HPC scheduling technology like Kubernetes, Hadoop YARN Mesos, HTCondor or Nomad for processing & scheduling analytical jobs. Implement controls which allow analytical jobs to seamlessly utilize ideal capacity on the private cloud.
- Security - Implementing best security practices and implementing data isolation policy between different divisions internally.
- Capacity Sizing - Monitor private cloud usage and share details with different teams. Plan capacity enhancements on a quarterly basis.
- Storage solution - Optimize storage solutions like NetApp, EMC, Quobyte for analytical jobs. Monitor their performance on a daily basis to identify issues early.
- NFS - Implement and optimize latest version of NFS for our use case.
- Public Cloud - Drive AWS/Google-Cloud utilization in the firm for increasing efficiency, improving collaboration and for reducing cost. Maintain the environment for our existing use cases. Further explore potential areas of using public cloud within the firm.
- BackUps - Identify and automate back up of all crucial data/binary/code etc in a secured manner at such duration warranted by the use case. Ensure that recovery from back-up is tested and seamless.
- Access Control - Maintain password less access control and improve security over time. Minimize failures for automated job due to unsuccessful logins.
- Operating System -Plan, test and roll out new operating system for all production, simulation and desktop environments. Work closely with developers to highlight new performance enhancements capabilities of new versions.
- Configuration management -Work closely with DevOps/ development team to freeze configurations/playbook for various teams & internal applications. Deploy and maintain standard tools such as Ansible, Puppet, chef etc for the same.
- Data Storage & Security Planning - Maintain a tight control of root access on various devices. Ensure root access is rolled back as soon the desired objective is achieved.
- Audit access logs on devices. Use third party tools to put in a monitoring mechanism for early detection of any suspicious activity.
- Maintaining all third party tools used for development and collaboration - This shall include maintaining a fault tolerant environment for GIT/Perforce, productivity tools such as Slack/Microsoft team, build tools like Jenkins/Bamboo etc
Qualifications
- Bachelors or Masters Level Degree, preferably in CSE/IT
- 10+ years of relevant experience in sys-admin function
- Must have strong knowledge of IT Infrastructure, Linux, Networking and grid.
- Must have strong grasp of automation & Data management tools.
- Efficient in scripting languages and python
Desirables
- Professional attitude, co-operative and mature approach to work, must be focused, structured and well considered, troubleshooting skills.
- Exhibit a high level of individual initiative and ownership, effectively collaborate with other team members.
APT Portfolio is an equal opportunity employer
JenkinsDockerKubernetesPosition: DevOps Engineer
Job Description
The candidate should have the following Skills:
- Hands-on experience with DevOps & CICD open source tools (Jenkins, ), including AWS DevOps services (CodePipeline, CloudFormation, etc).
- Experience in building and deploying using Java/Python/Node.js on Cloud infrastructure (Docker or Kubernetes containers or Lambda.)
- Exposure to Cloud operations, releases, and configuration management
- Experience in implementing Non-functional requirements for microservices, including performance, security, compliance, HA and Disaster Recovery.
- Good soft skills, great attitude, and passion for working in a product startup environment
Total Experience of 2-5 years post BE or BTech or MCA in Computer Science Engineering.
Amazon Web Services (AWS)KubernetesRoles and Responsibilities
● Managing Availability, Performance, Capacity of infrastructure and applications.
● Building and implementing observability for applications health/performance/capacity.
● Optimizing On-call rotations and processes.
● Documenting “tribal” knowledge.
● Managing Infra-platforms like
- Mesos/Kubernetes
- CICD
- Observability(Prometheus/New Relic/ELK)
- Cloud Platforms ( AWS/ Azure )
- Databases
- Data Platforms Infrastructure
● Providing help in onboarding new services with the production readiness review process.
● Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
● Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
● Working with the Dev team to have an in-depth understanding of the application architecture and its bottlenecks.
● Identifying observability gaps in product services, infrastructure and working with stake owners to fix it.
● Managing Outages and doing detailed RCA with developers and identifying ways to avoid that situation.
● Managing/Automating upgrades of the infrastructure services.
● Automate toil work.
Experience & Skills
● 3+ Years of experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.
● A collaborative spirit with the ability to work across disciplines to influence, learn, and deliver.
● A deep understanding of computer science, software development, and networking principles.
● Demonstrated experience with languages, such as Python, Java, Golang etc.
● Extensive experience with Linux administration and good understanding of the various linux kernel subsystems (memory, storage, network etc).
● Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
● Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
● Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.
● Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker, Argo etc.
● Experience in managing and deploying containerized environments using Docker,
Mesos/Kubernetes is a plus.
● Experience with multiple datastores is a plus (MySQL, PostgreSQL, Aerospike,
Couchbase, Scylla, Cassandra, Elasticsearch).
● Experience with data platforms tech stacks like Hadoop, Hive, Presto etc is a plus
JenkinsDockerAmazon Web Services (AWS)Role
We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.
You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
This would be a hybrid role and the person would be expected to also do some application level programming in their downtime.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand based auto scaling.
- Have on call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Prior experience as a software developer in a couple of high level programming languages.
- Extensive experience in any Javascript based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)
- Extensive experience with web servers such as Nginx/Apache
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~ 1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as needed.
Amazon Web Services (AWS)KubernetesPythonAs DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to work on, helping to enhance our product performance and reliability.
Responsibilities:
- Build & operate infrastructure to support website, backed cluster, ML projects in the organization.
- Helping teams become more autonomous and allowing the Operation team to focus on improving the infrastructure and optimizing processes.
- Delivering system management tooling to the engineering teams.
- Working on your own applications which will be used internally.
- Contributing to open source projects that we are using (or that we may start).
- Be an advocate for engineering best practices in and out of the company.
- Organizing tech talks and participating in meetups and representing Box8 at industry events.
- Sharing pager duty for the rare instances of something serious happening.
- Collaborate with other developers to understand & setup tooling needed for Continuous Integration/Delivery/Deployment (CI/CD) practices.
Requirements:
- 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing amounts of traffic and new product requirements.
- Ruby On Rails or Python and Bash/Shell skills.
- Experience managing complex systems at scale.
- Experience with Docker, rkt or similar container engine.
- Experience with Kubernetes or similar clustering solutions.
- Experience with tools such as Ansible or Chef Understanding of the importance of smart metrics and alerting.
- Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch).
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience in working on linux based servers.
- Managing large scale production grade infrastructure on AWS Cloud.
- Good Knowledge on scripting languages like ruby, python or bash.
- Experience in creating in deployment pipeline from scratch.
- Expertise in any of the CI tools, preferably Jenkins.
- Good knowledge of docker containers and its usage.
- Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu.
Good to have:
- Knowledge of Ruby on Rails based applications and its deployment methodologies.
- Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
- Extra Points For Experience With Front-end development NewRelic GCP Kafka, Elasticsearch.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon