Python
JavaDevOps Engineer
Our engineering team is looking for Big-Data DevOps engineers to join the engineering team and help us automate the build, release, packaging and infrastructure provisioning and support processes. The candidate is expected to own the full life-cycle of provisioning, configuration management, monitoring, maintenance and support for cloud as well as on premise deployments.
Responsibilities
- 3-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase
- Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
- Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks
- Experience with middle-layer technologies including web servers (httpd, ningx),
application servers (Jboss, Tomcat) and database systems (postgres, mysql)
- Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
- Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches
- Experience supporting on-premise solutions as well as on AWS cloud
- Experience working with and supporting Spark-based applications on YARN
- Experience with one or more automation tools such as Ansible, Terraform, etc
- Experience working with CI/CD tools like Jenkins and various test report and coverage Plugins
- Experience defining and automating the build, versioning and release processes for complex enterprise products
- Experience supporting clients remotely and on-site
- Experience working with and supporting Java- and Python-based tech stacks would be a Plus
Shubham Vishwakarma
Full Stack Developer - Averlon
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Machine Learning (ML)About the Role
We are looking for passionate and driven interns across multiple technology domains including Frontend Development, Backend Development, DevOps, AI/ML, and Data Engineering. This internship offers hands-on experience in real-world projects, collaboration with cross-functional teams, and exposure to modern tools and technologies.
Domains & Responsibilities
Frontend Development
- Build responsive and user-friendly web interfaces
- Translate UI/UX designs into functional applications
- Optimize performance and ensure cross-browser compatibility
Backend Development
- Develop APIs and server-side logic
- Work with databases and data storage solutions
- Ensure application security and performance
DevOps
- Assist in CI/CD pipeline setup and automation
- Manage deployments and cloud infrastructure
- Monitor system performance and reliability
AI / Machine Learning
- Develop and train ML models
- Work on NLP, automation, or AI-driven features
- Analyze datasets and evaluate model performance
Data Engineering
- Build and maintain data pipelines (ETL/ELT)
- Ensure data quality and availability
- Work with large datasets and optimize data workflows
Required Skills (Any Domain)
- Frontend: HTML, CSS, JavaScript, React/Vue/Angular
- Backend: Node.js / Python / Java / PHP, APIs, databases
- DevOps: Linux, Git, CI/CD basics, cloud fundamentals
- AI/ML: Python, ML basics, TensorFlow/PyTorch/Scikit-learn
- Data Engineering: SQL, Python, data processing concepts
Good to Have
- Knowledge of Git and version control
- Basic understanding of cloud platforms (AWS/Azure/GCP)
- Problem-solving mindset and willingness to learn
- Exposure to real-world or academic projects
Who Should Apply
- Students or recent graduates in Computer Science, IT, or related fields
- Candidates with strong interest in any of the above domains
- Self-learners with project experience are highly encouraged
Internship Details
- Duration: 3–6 months
- Mode: Remote
- Certificate + PPO (Pre-Placement Offer) based on performance
What You’ll Gain
- Hands-on experience with real projects
- Mentorship from experienced professionals
- Exposure to industry tools and workflows
- Opportunity to convert to a full-time role
Job Title: Senior DevOps Engineer
Location: Sector 39, Gurgaon (Onsite)
Employment Type: Full-Time
Working Days: 6 Days (Alternate Saturdays Working)
Experience Required: 5+ Years
Team Role: Lead & Mentor a team of 3–4 engineers
About the Role
We are seeking a highly skilled Senior DevOps Engineer to lead our infrastructure and automation initiatives while mentoring a small team. This role involves setting up and managing physical and cloud-based servers, configuring storage systems, and implementing automation to ensure high system availability and reliability. The ideal candidate will have strong Linux administration skills, hands-on experience with DevOps tools, and the leadership capabilities to guide and grow the team.
Key Responsibilities
Infrastructure & Server Management (60%)
- Set up, configure, and manage bare-metal (physical) servers as well as cloud-based environments.
- Configure network bonding, firewalls, and system security for optimal performance and reliability.
- Implement and maintain high-availability solutions for mission-critical systems.
Queue Systems (Kafka / RabbitMQ) (15%)
- Deploy and manage message queue systems to support high-throughput, real-time data exchange.
- Ensure reliable event-driven communication between distributed services.
Storage Systems (SAN/NAS) (15%)
- Configure and manage Storage Area Networks (SAN) and Network Attached Storage (NAS).
- Optimize storage performance, redundancy, and availability.
Database Administration (5%)
- Administer and optimize MariaDB, MySQL, MongoDB, Redis, and Elasticsearch.
- Handle backup, recovery, replication, and performance tuning.
General DevOps & Automation
- Deploy product updates, patches, and fixes while ensuring minimal downtime.
- Design and manage CI/CD pipelines using Jenkins or similar tools.
- Administer and automate workflows with Docker, Kubernetes, Ansible, AWS, and Git.
- Manage web and application servers (Apache httpd, Tomcat).
- Implement monitoring, logging, and alerting systems (Nagios, HAProxy, Keepalived).
- Conduct root cause analysis and implement automation to reduce manual interventions.
- Mentor a team of 3–4 engineers, fostering best practices and continuous improvement.
Required Skills & Qualifications
✅ 5+ years of proven DevOps engineering experience
✅ Strong expertise in Linux administration & shell scripting
✅ Hands-on experience with bare-metal server management & storage systems
✅ Proficiency in Docker, Kubernetes, AWS, Jenkins, Git, and Ansible
✅ Experience with Kafka or RabbitMQ in production environments
✅ Knowledge of CI/CD, automation, monitoring, and high-availability tools (Nagios, HAProxy, Keepalived)
✅ Excellent problem-solving, troubleshooting, and leadership abilities
✅ Strong communication skills with the ability to mentor and lead teams
Good to Have
- Experience in Telecom projects involving SMS, voice, or real-time data handling.
Kubernetes
Docker
Amazon Web Services (AWS)- Responsible for building, managing, and maintaining deployment pipelines and developing self-service tooling formanaging Git, Linux, Kubernetes, Docker, CI/CD & Pipelining etc in cloud infrastructure
- Responsible for building and managing DevOps agile tool chain with
- Responsible for working as an integrator between developer teams and various cloud infrastructures.
Section 2
- Responsibilities include helping the development team with best practices, provisioning monitoring, troubleshooting, optimizing and tuning, automating and improving deployment and release processes.
Section 3
- Responsible for maintaining application security with perioding tracking and upgrading package dependencies in coordination with respective developer teams .
- Responsible for packaging and containerization of deploy units and strategizing it in coordination with developer team
Section 4
- Setting up tools and required infrastructure. Defining and setting development, test, release, update, and support processes for DevOps operation
- Responsible for documentation of the process.
- Responsible for leading projects with end to end execution
Qualification: Bachelors of Engineering /MCA Preferably with AWS Cloud certification
Ideal Candidate -
- is experienced between 2-4 years with AWS certification and DevOps
experience.
- age less than 30 years, self-motivated and enthusiastic.
- is interested in building a sustainable DevOps platform with maximum
automation
- is interested in learning and being challenged on day to day basis.
- who can take ownership of the tasks and is willing to take the necessary
action to get it done.
- who can solve complex problems.
- who is honest with their quality of work and is comfortable with taking
ownership of their success and failure, Both
PythonKubernetesJOB DETAILS:
- Job Title: Lead DevOps Engineer
- Industry: Ride-hailing
- Experience: 6-9 years
- Working Days: 5 days/week
- Work Mode: ONSITE
- Job Location: Bangalore
- CTC Range: Best in Industry
Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)
Criteria:
1. Candidate must be from a product-based or scalable app-based start-ups company with experience handling large-scale production traffic.
2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members at least)
4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed
5. Candidate must have Self experience in database migration from scratch
6. Must have a firm hold on the container orchestration tool Kubernetes
7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
8. Understanding programming languages like GO/Python, and Java
9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
10. Working experience on Cloud platform -AWS
11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.
Description
Job Summary:
As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.
Job Responsibilities:
● Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
● Codify our infrastructure
● Do what it takes to keep the uptime above 99.99%
● Understand the bigger picture and sail through the ambiguities
● Scale technology considering cost and observability and manage end-to-end processes
● Understand DevOps philosophy and evangelize the principles across the organization
● Strong communication and collaboration skills to break down the silos
Job Requirements:
● B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience
● Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
● Must have a firm hold on the container orchestration tool Kubernetes
● Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
● Strong problem-solving skills, and ability to write scripts using any scripting language
● Understanding programming languages like GO/Python, and Java
● Comfortable working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
What’s there for you?
Company’s team handles everything – infra, tooling, and self-manages a bunch of databases, such as
● 150+ microservices with event-driven architecture across different tech stacks Golang/ java/ node
● More than 100,000 Request per second on our edge gateways
● ~20,000 events per second on self-managed Kafka
● 100s of TB of data on self-managed databases
● 100s of real-time continuous deployment to production
● Self-managed infra supporting
● 100% OSS
KubernetesJob Responsibilities:
- Managing and maintaining the efficient functioning of containerized applications and systems within an organization
- Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
- Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
- Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
- Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
- Ensure high availability, security, and scalability of infrastructure through automation and best practices
- Establish and enforce cloud security standards, policies, and procedures Work agile technologies
Primary Requirements:
- Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
- Linux/Unix: Proficiency in administering complex Linux infrastructures and services
- Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the
- knowledge of resource provisioning with Terraform or other Cloud-based utilities
- CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to
- manage the build, test, packaging, containerization and release processes of software
- Scripting & Automation: Strong scripting and process automation skills in Bash, Python
- Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
- Version Control: Proficient with Git and familiar with GitOps workflows.
- Security: Strong understanding of security best practices in cloud and containerized
- environments.
Skills/Traits that would be an advantage:
- Kubernetes administration experience, including installation, configuration, and troubleshooting
- Kubernetes development experience
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
Amazon Web Services (AWS)Senior DevOps Engineer
Experience: Minimum 5 years of relevant experience
Key Responsibilities:
• Hands-on experience with AWS tools and CI/CD pipelines, Redhat Linux
• Strong expertise in DevOps practices and principles
• Experience with infrastructure automation and configuration management
• Excellent problem-solving skills and attention to detail
Nice to Have:
• Redhat certification
Amazon Web Services (AWS)• Bachelor or Master Degree in Computer Science, Software Engineering from a reputed
University.
• 5 - 8 Years of experience in building scalable, secure and compliant systems.
• More than 2 years of experience in working with GCP deployment for millions of daily visitors
• 5+ years hosting experience in a large heavy-traffic environment
• 5+ years production application support experience in a high uptime environment
• Software development and monitoring knowledge with Automated builds
• Technology:
o Cloud: AWS or Google Cloud
o Source Control: Gitlab or Bitbucket or Github
o Container Concepts: Docker, Microservices
o Continuous Integration: Jenkins, Bamboos
o Infrastructure Automation: Puppet, Chef or Ansible
o Deployment Automation: Jenkins, VSTS or Octopus Deploy
o Orchestration: Kubernets, Mesos, Swarm
o Automation: Node JS or Python
o Linux environment network administration, DNS, firewall and security management
• Ability to be adapt to the startup culture, handle multiple competing priorities, meet
deadlines and troubleshoot problems.
Amazon Web Services (AWS)Python
MongoDBDockerPythonPython
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon