Kubernetes
Docker
Amazon Web Services (AWS)Requirements:
- Experience of managing Engineering teams in an Agile environment.
- Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
- Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
- Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
- Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
- Experience in managing permissions in Azure DevOps.
- Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
- Troubleshooting experience in virtual/cloud infrastructures.
- Experience in delivery of projects using IAC (Infrastructure as Code).
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)Job Title: Lead DevOps Engineer
Experience Required: 4 to 5 years in DevOps or related fields
Employment Type: Full-time
About the Role:
We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.
Key Responsibilities:
Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).
CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.
Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.
Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.
Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.
Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.
Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.
Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.
Required Skills & Qualifications:
Technical Expertise:
Strong proficiency in cloud platforms like AWS, Azure, or GCP.
Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).
Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.
Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.
Proficiency in scripting languages (e.g., Python, Bash, PowerShell).
Soft Skills:
Excellent communication and leadership skills.
Strong analytical and problem-solving abilities.
Proven ability to manage and lead a team effectively.
Experience:
4 years + of experience in DevOps or Site Reliability Engineering (SRE).
4+ years + in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.
Strong understanding of microservices, APIs, and serverless architectures.
Nice to Have:
Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.
Experience with GitOps tools such as ArgoCD or Flux.
Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).
Perks & Benefits:
Competitive salary and performance bonuses.
Comprehensive health insurance for you and your family.
Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.
Flexible working hours and remote work options.
Collaborative and inclusive work culture.
Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.
You can directly contact us: Nine three one six one two zero one three two
Amazon Web Services (AWS)We’re hiring a DevOps Engineer who’s passionate about automation, reliability, and scaling infrastructure for modern cloud-native applications. If you thrive in dynamic environments and love problem-solving at scale, we’d love to meet you!
🔧 Key Responsibilities
- Manage and support production systems with on-call rotations
- Deploy and maintain scalable infrastructure on AWS (ECS, EC2, EKS, S3, RDS, ELB, IAM, Lambda)
- Build infrastructure using Terraform
- Manage and monitor Kubernetes clusters and Docker containers
- Automate deployment and configuration using Ansible or similar tools
- Ensure systems reliability using robust monitoring and alerting tools
- Work with Linux OS, and network protocols like HTTP, DNS, SMTP, LDAP
- Manage services like Nginx, HAProxy, MySQL, SSH
- Collaborate with development, QA, and product teams
- Document systems and infrastructure best practices
✅ Required Skills
- 4+ years in DevOps, SRE, or Systems Administration
- Hands-on experience with AWS, Kubernetes, Docker
- Proficient with Terraform, Ansible, and Linux systems
- Strong understanding of networking, system logs, and debugging
- Excellent communication and documentation skills
DockerKubernetesAmazon Web Services (AWS)Skills We Require:- Dev Ops, AWS Admin, terraform, Infrastructure as a Code
SUMMARY:-
- 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
Have good hands on experience on Dev Ops, AWS Admin, terraform, Infrastructure as a Code
Have knowledge on EC2, Lambda, S3, ELB, VPC, IAM, Cloud Watch, Centos, Server Hardening
Ability to understand business requirements and translate them into technical requirements
A knack for benchmarking and optimization
DockerKubernetesAmazon Web Services (AWS)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 service Excellent written and oral communication skills, judgment and decision-making skills
Amazon Web Services (AWS)
JenkinsDocker
GitHubWe are hiring DevOps Engineers for luxury-commerce platform that is well-funded and is now ready for its next level of growth. It is backed by reputed investors and is already a leader in its space. The focus for the coming years will be heavily on scaling the platform through technology. Market-driven competitive salary or the right candidate
Job Title : DevOps System Engineer
Responsibilities:
- Implementing, maintaining, monitoring, and supporting the IT infrastructure
- Writing scripts for service quality analysis, monitoring, and operation
- Designing procedures for system troubleshooting and maintenance
- Investigating and resolving technical issues by deploying updates/fixes
- Implementing automation tools and frameworks for automatic code deployment (CI/CD)
- Quality control and management of the codebase
- Ownership of infrastructure and deployments in various environments
Requirements:
- Degree in Computer Science, Engineering or a related field
- Prior experience as a DevOps engineer
- Good knowledge of various operating systems - Linux, Windows, Mac.
- Good Knowledge of Networking, virtualization, Containerization technologies.
- Familiarity with software release management and deployment (Git, CI/CD)
- Familiarity with one or more popular cloud platforms such as AWS, Azure, etc.
- Solid understanding of DevOps principles and practices
- Knowledge of systems and platforms security
- Good problem-solving skills and attention to detail
Skills: Linux, Networking, Docker, Kubernetes, AWS/Azure, Git/GitHub, Jenkins, Selenium, Puppet/Chef/Ansible, Nagios
Experience : 5+ years
Location: Prabhadevi, Mumbai
Interested candidates can apply with their updated profiles.
Regards,
HR Team
Aza Fashions
DockerKubernetesAmazon Web Services (AWS)- Demonstrated experience with AWS
- Knowledge of servers, networks, storage, client-server systems, and firewalls
- Strong expertise in Windows and/or Linux operating systems, including system architecture and design, as well as experience supporting and troubleshooting stability and performance issues
- Thorough understanding of and experience with virtualization technologies (e.g., VMWare/Hyper-V)
- Knowledge of core network services such as DHCP, DNS, IP routing, VLANs, layer 2/3 routing, and load balancing is required
- Experience in reading, writing or modifying PowerShell, Bash scripts & Python code.Experience using git
- Working know-how of software-defined lifecycles, product packaging, and deployments
- POSTGRESSQL or Oracle database administration (Backup, Restore, Tuning, Monitoring, Management)
- At least 2 from AWS Associate Solutions Architect, DevOps, or SysOps
- At least 1 from AWS Professional Solutions Architect, DevOps
- AWS: S3, Redshift, DynamoDB, EC2, VPC, Lambda, CloudWatch etc.
- Bigdata: Databricks, Cloudera, Glue and Athena
- DevOps: Jenkins, Bitbucket
- Automation: Terraform, Cloud Formation, Python, Shell scripting Experience in automating AWS infrastructure with Terraform.
- Experience in database technologies is a plus.
- Knowledge in all aspects of DevOps (source control, continuous integration, deployments, etc.)
- Proficiency in security implementation best practices on IAM policies, KMS encryption, Secrets Management, Network Security Groups etc.
- Experience working in the SCRUM Environment
The role requires you to design development pipelines from the ground up, Creation of Docker Files, and 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.
Requirements
- 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 cloud formation 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(Nagios or similar), IaC(Terraform, cloud formation).
Amazon Web Services (AWS)
Git● Building and managing multiple application environments on AWS using automation tools like Terraform or
Cloudformation etc.
● Deploy applications with zero downtime via automation with configuration management tools such as Ansible.
● Setting up Infrastructure monitoring tools such as Prometheus, Grafana
● Setting up centralised logging using tools such as ELK.
● Containerisation of applications/microservices.
● Ensure application availability to 99.9% with highly available infrastructure.
● Monitoring performance of applications and databases.
● Ensuring that systems are safe and secure against cyber security threats.
● Working with software developers to ensure that release cycle and deployment processes are followed.
● Evaluating existing applications and platforms, give recommendations for enhancing performance via gap analysis,
identifying the most practical alternative solutions and assisting with modifications.
Skills -
● Strong knowledge of AWS Managed Services such as EC2, RDS, ECS, ECR, S3, Cloudfront, SES, Redshift, Elastic Cache,
AMQP etc.
● Experience in handling production workloads.
● Experience with Nginx web server.
● Experience with NoSql and Sql Databases such as MongoDB, Postgresql etc.
● Experience with Containerisation of applications/micro services using Docker.
● Understanding of system administration in Linux environments.
● Strong Knowledge of Infrastructure as a Code such as Terraform, Cloudformation etc.
● Strong knowledge of configuration management tools such as Ansible, Chef etc.
● Familiarity with tools such as GitLab, Jenkins, Vercel, JIRA etc.
● Proficiency in scripting languages including Bash, Python etc.
● Full understanding of software development lifecycle best practices and agile methodology
● Strong communication and documentation skills.
● An ability to drive to goals and milestones while valuing and maintaining a strong attention to detail
● Excellent judgment, analytical thinking, and problem-solving skills
● Self-motivated individual that possesses excellent time management and organizational skills
Machine Learning (ML)Kubernetes
PythonDevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery
JavaJenkins
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon