KubernetesPlease Apply - https://zrec.in/IGpwc?source=CareerSite
About Us
Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.
Job Description
Job Title: DevOps Intern
Department: Technology
Location: Gurgaon
Work Mode: On-site
Working Hours: 10 AM - 7 PM
Terms: Permanent
Experience: 6+ Months
Education: B.Tech/MCA/BCA
Notice Period: Immediately
We are seeking a motivated and talented DevOps Intern to join our dynamic team. As a DevOps Intern, you will have the opportunity to work closely with our experienced DevOps engineers to support and improve our development and deployment processes. This is an excellent opportunity for someone looking to kick-start their career in DevOps and gain hands-on experience in a fast-paced, innovative environment.
Below is a detailed description of the roles and responsibilities, expectations for the role.
Tech Stack :
- Kubernetes: Deep understanding of Kubernetes clusters, container orchestration, and its architecture.
- Terraform: Extensive hands-on experience with Infrastructure as Code (IaC) using Terraform for managing cloud resources.
- ArgoCD: Experience in continuous deployment and using ArgoCD to maintain GitOps workflows.
- Helm: Expertise in Helm for managing Kubernetes applications.
- Cloud Platforms: Expertise in AWS, GCP or Azure will be an added advantage.
- Debugging and Troubleshooting: The DevOps Intern must be proficient in identifying and resolving complex issues in a distributed environment, ranging from networking issues to misconfigurations in infrastructure or application components.
Key Responsibilities:
- Assist in the development, deployment, and maintenance of cloud infrastructure.
- Collaborate with development and operations teams to automate and improve the CI/CD pipeline.
- Monitor system performance and troubleshoot issues to ensure high availability and reliability.
- Implement and maintain configuration management tools.
- Participate in code reviews and contribute to improving development practices.
- Assist in the creation of documentation for processes and procedures.
- Support the team in managing and maintaining development and production environments.
Qualifications:
- Currently pursuing or recently completed a degree in Computer Science, Information Technology, or a related field.
- Added advantage if prior internship experience and have completed DevOps course or certification.
- Basic understanding of cloud platforms (AWS, Azure, GCP) and cloud services.
- Familiarity with CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.).
- Basic knowledge of scripting languages (Python, Bash, etc.).
- Understanding of version control systems (Git, SVN).
- Strong problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment.
- Eagerness to learn and adapt to new technologies and processes.
Preferred Qualifications:
- Experience with containerization technologies (Docker, Kubernetes).
- Knowledge of infrastructure as code (Terraform, Ansible).
- Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack).
- Previous internship or project experience in DevOps or related fields.
What We Offer:
- Hands-on experience with modern DevOps tools and practices.
- Mentorship and guidance from experienced professionals.
- Opportunity to work on real-world projects and make a tangible impact.
- Collaborative and supportive work environment.
- Potential for future full-time opportunities based on performance.
Internship Details:
- Duration: 6 months of internship which can be converted to full-time employment based on performance
- Location: Gurgaon
- Mode: In Office
Shubham Vishwakarma
Full Stack Developer - Averlon
About Infra360 Solutions Pvt Ltd
About
At Infra360.io, we are a next-generation cloud consulting and services company committed to delivering comprehensive, 360-degree solutions for Cloud, Infrastructure, DevOps, MLOps and Security. We partner with clients to modernize and optimize their cloud, ensuring resilience, scalability, cost efficiency and innovation.
We thrive on ownership, collaboration, problem-solving, and excellence, fostering an environment where innovation and continuous learning are at the forefront. Join us as we expand and redefine what’s possible in cloud technology and infrastructure.
Candid answers by the company
Our core services include Cloud Strategy, Site Reliability Engineering (SRE), DevOps, Cloud Security Posture Management (CSPM), and related Managed Services. We specialize in driving operational excellence across multi-cloud environments, helping businesses achieve their goals with agility and reliability.
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Amazon Web Services (AWS)Job Description
Position - SRE developer / DevOps Engineer
Location - Mumbai
Experience- 3- 10 years
About HaystackAnalytics:
HaystackAnalytics is a company working in deep technology of genomics, computing and data science for creating the first of its kind clinical reporting engine in Healthcare. We are a new but well funded company with a tremendous amount of pedigree in the team (IIT Founders, IIT & IIM core team). Some of the technologies we have created are a global first in infectious disease and chronic diagnostics. As a product company creating a huge amount of IP, our Technology and R&D team are our crown jewels. With early success of our products in India, we are now expanding to take our products to international shores.
Inviting Passionate Engineers to join a new age enterprise:
At HaystackAnalytics, we rely on our dynamic team of engineers to solve the many challenges and puzzles that come with our rapidly evolving stack that deals with Healthcare and Genomics.
We’re looking for full stack engineers who are passionate problem solvers, ready to work with new technologies and architectures in a forward-thinking organization that’s always pushing boundaries. Here, you will take complete, end-to-end ownership of projects across the entire stack.
Our ideal candidate has experience building enterprise products and has understanding and experience of working with new age front end technologies, web frameworks, APIs, databases, distributed computing,back end languages, caching, security, message based architectures et al.
You’ll be joining a small team working at the forefront of new technology, solving the challenges that impact both the front end and back end architecture, and ultimately, delivering amazing global user experiences.
Objectives of this Role:
- Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth
- Ideate and develop new product features in collaboration with domain experts in healthcare and genomics
- Develop state of the art enterprise standard front-end and backend services
- Develop cloud platform services based on container orchestration platform
- Continuously embrace automation for repetitive tasks
- Ensure application performance, uptime, and scale, maintaining high standards of code quality by using clean coding principles and solid design patterns
- Build robust tech modules that are Unit Testable, Automating recurring tasks and processes
- Engage effectively with team members and collaborate to upskill and unblock each other
Frontend Skills
- HTML 5
- CSS framework ( LESS/ SASS )
- Es6 / Typescript
- Electron app / TAURI
- Component library ( Webcomponents / radix / material )
- CSS ( tailwind)
- State management --> Redux / Zustand / Recoil
- Build tools - > (webpack/vite/Parcel/turborepo)
- Frameworks -- > Next JS /
- Design patterns
- Test Automation Frameworks (cypress playwright etc )
- Functional Programming concepts
- Scripting ( bash , python )
Backend Skills
- Node / Deno / bun - Express / NEST JS
- Language : Typescript / Python / Rust /
- REST / GRAPHQL
- SOLID Design Principles
- Storage (mongodb/ Object Storage / postgres )
- Caching ( Redis / In memory Data grid )
- Pub sub (KAFKA / SQS / SNS / Event bridge / RabbitMQ)
- Container Technology ( Docker / Kubernetes )
- Cloud ( azure , aws , openshift )
- GITOPS
- Automation ( terraform , Serverless )
Other Skills
- Innovation and thought leadership
- UI - UX design skills
- Interest in learning new tools, languages, workflows, and philosophies to grow
- Communication
KubernetesIf interested, please send resume with CTC: ECTC: Notice Period: Work from office location Bangalore: (Y/N
Git
GitHubKubernetesWe are looking for very hands-on DevOps engineers with 3 to 6 years of experience. The person will be part of a team that is responsible for designing & implementing automation from scratch for medium to large scale cloud infrastructure and providing 24x7 services to our North American / European customers. This also includes ensuring ~100% uptime for almost 50+ internal sites. The person is expected to deliver with both high speed and high quality as well as work for 40 hours per week (~6.5 hours per day, 6 days per week) in shifts that will rotate every month.
This person MUST have:
-
B.E Computer Science or equivalent
-
2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
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1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
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1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
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1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
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Experience configuring/maintaining one monitoring tool.
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Excellent verbal & written communication skills.
-
Candidates with certifications - AWS, GCP, CKA, etc will be preferred
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Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).
Experience:
-
Min 3 years of experience as DevOps automation engineer buildingg, running, and maintaining production sites.
-
Not looking for candidates who have experience only as L1/L2 or Build & Deploy.
Location: Remotely, anywhere in India.
Timings:
-
The person is expected to deliver with both high speed and high quality as well as work for 40 hours per week (~6.5 hours per day, 6 days per week) in shifts that will rotate every month.
Position:
-
Full time/Direct
-
We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
-
We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
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
KubernetesExperience: 8-10yrs
Notice Period: max 15days
Must-haves*
1. Knowledge about Database/NoSQL DB hosting fundamentals (RDS multi-AZ, DynamoDB, MongoDB, and such)
2. Knowledge of different storage platforms on AWS (EBS, EFS, FSx) - mounting persistent volumes with Docker Containers
3. In-depth knowledge of Security principles on AWS (WAF, DDoS, Security Groups, NACL's, IAM groups, and SSO)
4. Knowledge on CI/CD platforms is required (Jenkins, GitHub actions, etc.) - Migration of AWS Code pipelines to GitHub actions
5. Knowledge of vast variety of AWS services (SNS, SES, SQS, Athena, Kinesis, S3, ECS, EKS, etc.) is required
6. Knowledge on Infrastructure as Code tool is required We use Cloudformation. (Terraform is a plus), ideally, we would like to migrate to Terraform from CloudFormation
7. Setting CloudWatch Alarms and SMS/Email Slack alerts.
8. Some Knowledge on configuring any kind of monitoring tool such as Prometheus, Dynatrace, etc. (We currently use Datadog, CloudWatch)
9. Experience with any CDN provider configurations (Cloudflare, Fastly, or CloudFront)
10. Experience with either Python or Go scripting language.
11. Experience with Git branching strategy
12. Containers hosting knowledge on both Windows and Linux
The below list is *Nice to Have*
1. Integration experience with Code Quality tools (SonarQube, NetSparker, etc) with CI/CD
2. Kubernetes
3. CDN's other than CloudFront (Cloudflare, Fastly, etc)
4. Collaboration with multiple teams
5. GitOps
PythonAmazon Web Services (AWS)- Building and setting up new development tools and infrastructure
- Understanding the needs of stakeholders and conveying this to developers
- Working on ways to automate and improve development and release processes
- Ensuring that systems are safe and secure against cybersecurity threats
- Identifying technical problems and developing software updates and 'fixes'
- Working with software developers and software engineers to ensure that development follows established processes and works as intended
Daily and Monthly Responsibilities :
- 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
Skills and Qualifications :
- Bachelors in Computer Science, Engineering or relevant field
- Experience as a DevOps Engineer or similar software engineering role
- Proficient with git and git workflows
- Good knowledge of Python
- Working knowledge of databases such as Mysql,Postgres and SQL
- Problem solving attitude
- Collaborative team spirit
- Detail knowledge of Linux systems (Ubuntu)
- Proficient in AWS console and should have handled the infrastructure of any product (Including dev and prod environments)
Mandatory hands on experience in the following :
- Python based application deployment and maintenance
- NGINX web server
- AWS modules EC2, VPC, EBS, S3
- IAM setup
- Database configurations MySQL, PostgreSQL
- Linux flavoured OS
- Instance/Disaster management
KubernetesDockerAmazon Web Services (AWS)Roles & Responsibilities :
- Champion engineering and operational excellence.
- Establish a solid infrastructure framework and excellent development and deployment processes.
- Provide technical guidance to both your team members and your peers from the development team.
- Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
- Be part of and help create a positive work environment based on accountability.
- Communicate across functions and drive engineering initiatives.
- Initiate cross team collaboration with product development teams to develop high quality, polished products, and services.
Required Skills :
- 5+ years of professional experience developing and launching software products on Cloud.
- Basic understanding Java/Go Programming
- Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
- Deep understanding of AWS or Any Cloud.
- Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
- Good Understanding of Operating systems
- Strong technical background with track record of individual technical accomplishments
- Ability to handle multiple competing priorities in a fast-paced environment
- Ability to establish credibility with smart engineers quickly.
- Most importantly, ability to learn and urge to learn new things.
- B.Tech/M.Tech in Computer Science or a related technical field.
DockerKubernetes
JenkinsJD for Devops
Experience: 5+ years
|
Job Description |
Interprets the DevOps Tool/feature/component design to develop/support the same in accordance with specifications |
DockerJenkinsKubernetesJob Location: Jaipur
Experience Required: Minimum 3 years
About the role:
As a DevOps Engineer for Punchh, you will be working with our developers, SRE, and DevOps teams implementing our next generation infrastructure. We are looking for a self-motivated, responsible, team player who love designing systems that scale. Punchh provides a rich engineering environment where you can be creative, learn new technologies, solve engineering problems, all while delivering business objectives. The DevOps culture here is one with immense trust and responsibility. You will be given the opportunity to make an impact as there are no silos here.
Responsibilities:
- Deliver SLA and business objectives through whole lifecycle design of services through inception to implementation.
- Ensuring availability, performance, security, and scalability of AWS production systems
- Scale our systems and services through continuous integration, infrastructure as code, and gradual refactoring in an agile environment.
- Maintain services once a project is live by monitoring and measuring availability, latency, and overall system and application health.
- Write and maintain software that runs the infrastructure that powers the Loyalty and Data platform for some of the world’s largest brands.
- 24x7 in shifts on call for Level 2 and higher escalations
- Respond to incidents and write blameless RCA’s/postmortems
- Implement and practice proper security controls and processes
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on platform.
Must have:
- Minimum 3 Years of Experience in DevOps.
- BS degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
- Strong inter-personal skills.
- Must have experience in CI/CD tooling such as Jenkins, CircleCI, TravisCI
- Must have experience in Docker, Kubernetes, Amazon ECS or Mesos
- Experience in code development in at least one high-level programming language fromthis list: python, ruby, golang, groovy
- Proficient in shell scripting, and most importantly, know when to stop scripting and start developing.
- Experience in creation of highly automated infrastructures with any Configuration Management tools like: Terraform, Cloudformation or Ansible.
- In-depth knowledge of the Linux operating system and administration.
- Production experience with a major cloud provider such Amazon AWS.
- Knowledge of web server technologies such as Nginx or Apache.
- Knowledge of Redis, Memcache, or one of the many in-memory data stores.
- Experience with various load balancing technologies such as Amazon ALB/ELB, HA Proxy, F5.
- Comfortable with large-scale, highly-available distributed systems.
Good to have:
- Understanding of Web Standards (REST, SOAP APIs, OWASP, HTTP, TLS)
- Production experience with Hashicorp products such as Vault or Consul
- Expertise in designing, analyzing troubleshooting large-scale distributed systems.
- Experience in an PCI environment
- Experience with Big Data distributions from Cloudera, MapR, or Hortonworks
- Experience maintaining and scaling database applications
- Knowledge of fundamental systems engineering principles such as CAP Theorem, Concurrency Control, etc.
- Understanding of the network fundamentals: OSI, TCI/IP, topologies, etc.
- Understanding of Auditing of Infrastructure and help org. to control Infrastructure costs.
- Experience in Kafka, RabbitMQ or any messaging bus.
Machine Learning (ML)KubernetesPythonDevOps 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
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon