Kubernetes
DockerJob Title: DevOps - 3
Roles and Responsibilities:
- Develop deep understanding of the end-to-end configurations, dependencies, customer requirements, and overall characteristics of the production services as the accountable owner for overall service operations
- Implementing best practices, challenging the status quo, and tab on industry and technical trends, changes, and developments to ensure the team is always striving for best-in-class work
- Lead incident response efforts, working closely with cross-functional teams to resolve issues quickly and minimize downtime. Implement effective incident management processes and post-incident reviews
- Participate in on-call rotation responsibilities, ensuring timely identification and resolution of infrastructure issues
- Possess expertise in designing and implementing capacity plans, accurately estimating costs and efforts for infrastructure needs.
- Systems and Infrastructure maintenance and ownership for production environments, with a continued focus on improving efficiencies, availability, and supportability through automation and well defined runbooks
- Provide mentorship and guidance to a team of DevOps engineers, fostering a collaborative and high-performing work environment. Mentor team members in best practices, technologies, and methodologies.
- Design for Reliability - Architect & implement solutions that keeps Infrastructure running with Always On availability and ensures high uptime SLA for the Infrastructure
- Manage individual project priorities, deadlines, and deliverables related to your technical expertise and assigned domains
- Collaborate with Product & Information Security teams to ensure the integrity and security of Infrastructure and applications. Implement security best practices and compliance standards.
Must Haves
- 5-8 years of experience as Devops / SRE / Platform Engineer.
- Strong expertise in automating Infrastructure provisioning and configuration using tools like Ansible, Packer, Terraform, Docker, Helm Charts etc.
- Strong skills in network services such as DNS, TLS/SSL, HTTP, etc
- Expertise in managing large-scale cloud infrastructure (preferably AWS and Oracle)
- Expertise in managing production grade Kubernetes clusters
- Experience in scripting using programming languages like Bash, Python, etc.
- Expertise in skill sets for centralized logging systems, metrics, and tooling frameworks such as ELK, Prometheus/VictoriaMetrics, and Grafana etc.
- Experience in Managing and building High scale API Gateway, Service Mesh, etc
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
- Have a working knowledge of a backend programming language
- Deep knowledge & experience with Unix / Linux operating systems internals (Eg. filesystems, user management, etc)
- A working knowledge and deep understanding of cloud security concepts
- Proven track record of driving results and delivering high-quality solutions in a fast-paced environment
- Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Docker
Amazon Web Services (AWS)REVIEW CRITERIA:
MANDATORY:
- Strong Senior/Lead DevOps Engineer Profile
- Must have 8+ years of hands-on experience in DevOps engineering, with a strong focus on AWS cloud infrastructure and services (EC2, VPC, EKS, RDS, Lambda, CloudFront, etc.).
- Must have strong system administration expertise (installation, tuning, troubleshooting, security hardening)
- Must have solid experience in CI/CD pipeline setup and automation using tools such as Jenkins, GitHub Actions, or similar
- Must have hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
- Must have strong database expertise across MongoDB and Snowflake (administration, performance optimization, integrations)
- Must have experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog
- Must have good exposure to containerization and orchestration using Docker and Kubernetes (EKS)
- Must be currently working in an AWS-based environment (AWS experience must be in the current organization)
- Its an IC role
PREFERRED:
- Must be proficient in scripting languages (Bash, Python) for automation and operational tasks.
- Must have strong understanding of security best practices, IAM, WAF, and GuardDuty configurations.
- Exposure to DevSecOps and end-to-end automation of deployments, provisioning, and monitoring.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- Candidates from NCR region only (No outstation candidates).
ROLES AND RESPONSIBILITIES:
We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.
KEY RESPONSIBILITIES:
Cloud & Infrastructure as Code (IaC)-
- Architect and manage AWS environments ensuring scalability, security, and high availability.
- Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
- Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.
CI/CD & Automation:
- Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
- Automate deployments, provisioning, and monitoring across environments.
Containers & Orchestration:
- Deploy and operate workloads on Docker and Kubernetes (EKS).
- Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
- Optimize performance of containerized and microservices applications.
Monitoring & Reliability:
- Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
- Establish logging, alerting, and proactive monitoring for high availability.
Security & Compliance:
- Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
- Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
- Configure VPNs, firewalls, and secure access policies and AWS organizations.
Databases & Analytics:
- Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
- Manage data reliability, performance tuning, and cloud-native integrations.
- Experience with Apache Airflow and Spark.
IDEAL CANDIDATE:
- 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
- Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
- Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
- Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
- Proven ability with CI/CD pipeline automation and DevSecOps practices.
- Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
- Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
- Strong scripting skills (Shell/bash, Python, or similar) for automation.
- Bachelor / Master’s degree
- Effective communication skills
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits
Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).
3. Candidate must have solid experience with Kubernetes.
4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.
5. Candidate must be an individual contributor with strong ownership.
6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.
7. Candidate must have working knowledge of Go/Python and Java.
8. Candidate should have working experience on Cloud platform - AWS
9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
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.
DockerKubernetes
JenkinsExperience with Linux infrastructure, opensource databases (mysql, postgres etc), CI/CD tools Jenkins, Gitlab, Nexus Repository, Jira, Agile workflow and Kanban.
- Solid understanding of IP network and TCP/IP
- Minimum of 7+ years’ work experience in IT
- Minimum of 4+ years experience as DevOps Enginneer
- Good interpersonal skills and communication written and oral.
Amazon Web Services (AWS)Do Your Thng
DYT - Do Your Thing, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. Our aim is to democratise social media and allow people to be rewarded for the content they post. How does DYT help you? It accelerates your career through collaboration opportunities with top brands and gives you access to a community full of experts in the influencer space.
Role: DevOps
Job Description:
We are looking for experienced DevOps Engineers to join our Engineering team. The candidate will be working with our engineers and interact with the tech team for high quality web applications for a product.
Required Experience
- Devops Engineer with 2+ years of experience in development and production operations supporting for Linux & Windows based applications and Cloud deployments (AWS/GC stack)
- Experience working with Continuous Integration and Continuous Deployment Pipeline
- Exposure to managing LAMP stack-based applications
- Experience Resource provisioning automation using tools such as CloudFormation, terraform and ARM Templates.
- Experience in working closely with clients, understanding their requirements, design and implement quality solutions to meet their needs.
- Ability to take ownership on the carried-out work
- Experience coordinating with rest of the team to deliver well-architected and high-quality solutions.
- Experience deploying Docker based applications
- Experience with AWS services.
- Excellent verbal and written communication skills
Desired Experience
- Exposure to AWS, google cloud and Azure Cloud
- Experience in Jenkins, Ansible, Terraform
- Build Monitoring tools and respond to alarms triggered in production environment
- Willingness to quickly become a member of the team and to do what it takes to get the job done
- Ability to work well in a fast-paced environment and listen and learn from stakeholders
- Demonstrate a strong work ethic and incorporate company values in your everyday work.
Amazon Web Services (AWS)
GitJenkins- Good experience in AWS services like Elastic Compute Cloud(EC2), IAM, RDS, API Gateway, Cognito, etc.
- Using GIT, SonarQube, Ansible, Nexus, Nagios, etc.
- Strong experience in creating, importing and launching volumes with security groups, auto-scaling, Load Balancers, Fault-tolerant
- Experience in configuring Jenkins job with related Plugins for Building, Testing, and Continuous Deployment to accomplish the complete CI/CD.
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)Experience and Education
• Bachelor’s degree in engineering or equivalent.
Work experience
• 4+ years of infrastructure and operations management
Experience at a global scale.
• 4+ years of experience in operations management, including monitoring, configuration management, automation, backup, and recovery.
• Broad experience in the data center, networking, storage, server, Linux, and cloud technologies.
• Broad knowledge of release engineering: build, integration, deployment, and provisioning, including familiarity with different upgrade models.
• Demonstratable experience with executing, or being involved of, a complete end-to-end project lifecycle.
Skills
• Excellent communication and teamwork skills – both oral and written.
• Skilled at collaborating effectively with both Operations and Engineering teams.
• Process and documentation oriented.
• Attention to details. Excellent problem-solving skills.
• Ability to simplify complex situations and lead calmly through periods of crisis.
• Experience implementing and optimizing operational processes.
• Ability to lead small teams: provide technical direction, prioritize tasks to achieve goals, identify dependencies, report on progress.
Technical Skills
• Strong fluency in Linux environments is a must.
• Good SQL skills.
• Demonstratable scripting/programming skills (bash, python, ruby, or go) and the ability to develop custom tool integrations between multiple systems using their published API’s / CLI’s.
• L3, load balancer, routing, and VPN configuration.
• Kubernetes configuration and management.
• Expertise using version control systems such as Git.
• Configuration and maintenance of database technologies such as Cassandra, MariaDB, Elastic.
• Designing and configuration of open-source monitoring systems such as Nagios, Grafana, or Prometheus.
• Designing and configuration of log pipeline technologies such as ELK (Elastic Search Logstash Kibana), FluentD, GROK, rsyslog, Google Stackdriver.
• Using and writing modules for Infrastructure as Code tools such as Ansible, Terraform, helm, customize.
• Strong understanding of virtualization and containerization technologies such as VMware, Docker, and Kubernetes.
• Specific experience with Google Cloud Platform or Amazon EC2 deployments and virtual machines.c
JenkinsAmazon Web Services (AWS)1. Developing a video player website where students can learn various courses, view e-books, solve tests, etc.
2. Building the product to reach higher scalability
3. Developing software to integrate with internal back-end systems
4. Working on AWS cloud platform
5. Working on Amazon Ec2, Amazon S3 bucket, and Git
6. Working on the implementation of continuous integration and deployment pipelines using Jenkins (mandatory)
7. Monitoring, troubleshooting, and diagnosing infrastructure systems (excellent knowledge required for the same)
8. Building tools to reduce the occurrences of errors and improve customer experience
9. Should have experience in MERN Stack too.
Docker
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon