Kubernetes
Docker
Python- Work towards improving the following 4 verticals - scalability, availability, security, and cost, for company's workflows and products.
- Help in provisioning, managing, optimizing cloud infrastructure in AWS (IAM, EC2, RDS, CloudFront, S3, ECS, Lambda, ELK etc.)
- Work with the development teams to design scalable, robust systems using cloud architecture for both 0-to-1 and 1-to-100 products.
- Drive technical initiatives and architectural service improvements.
- Be able to predict problems and implement solutions that detect and prevent outages.
- Mentor/manage a team of engineers.
- Design solutions with failure scenarios in mind to ensure reliability.
- Document rigorously to keep track of all changes/upgrades to the infrastructure and as well share knowledge with the rest of the team
- Identify vulnerabilities during development with actionable information to empower developers to remediate vulnerabilities
- Automate the build and testing processes to consistently integrate code
- Manage changes to documents, software, images, large web sites, and other collections of code, configuration, and metadata among disparate teams
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
Amazon Web Services (AWS)KubernetesJob Title : Senior DevOps Engineer (Only Mumbai Candidates)
Experience : 5+ Years
Location : Mumbai (On-site)
Notice Period : Immediate to 15 Days
Interview Process : 1 Internal Round + 1 Client Round
Mandatory Skills :
Multi-Cloud (AWS/GCP/Azure – any two), Kubernetes, Terraform, Helm (writing Helm Charts), CI/CD (GitLab CI/Jenkins/GitHub Actions), GitOps (ArgoCD/FluxCD), Multi-tenant deployments, Stateful microservices on Kubernetes, Enterprise Linux.
Role Overview :
We are looking for a Senior DevOps Engineer to design, build, and manage scalable cloud infrastructure and DevOps pipelines for product-based platforms.
The ideal candidate should have strong experience with Kubernetes, Terraform, Helm Charts, CI/CD, and GitOps practices.
Key Responsibilities :
- Design and manage scalable cloud infrastructure across AWS/GCP/Azure.
- Deploy and manage microservices on Kubernetes clusters.
- Build and maintain Infrastructure as Code using Terraform and Helm.
- Implement CI/CD pipelines using GitLab CI, Jenkins, or GitHub Actions.
- Implement GitOps workflows using ArgoCD or FluxCD.
- Ensure secure, scalable, and reliable DevOps architecture.
- Implement monitoring and logging using Prometheus, Grafana, or ELK.
Good to Have :
- Packer, OpenShift/Rancher/K3s, On-prem deployments, PaaS experience, scripting (Bash/Python), Terraform modules.
PythonAI & ML (45 Days – Live Hands‑On)
Program Fee: ₹25,000
Duration: 45 Days
Mode: Hybrid (Online Sessions + Live Lab Access)
Eligibility: Freshers, Final‑Year Students, and Career Switchers
About the Internship
This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.
Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:
- Cloud/Infra Engineer
- DevOps Engineer
- Security Analyst
- AI/ML Engineer
- Site Reliability Engineer (SRE)
Key Highlights
- 45 days of practical, mentor-led training
- Live production-style projects and deployments
- Hands‑on experience with:
- AWS / Azure Cloud
- Terraform, CI/CD, Docker, Kubernetes
- Security Hardening & IAM
- Python ML pipelines & model deployment
- Architect & deploy real systems using best practices
- Build portfolio-ready projects
- Receive an industry-recognized Internship Certificate
What You Will Learn
1️⃣ Cloud Infrastructure & DevOps
- Cloud fundamentals (AWS/Azure/GCP)
- Linux administration & scripting
- VPC, Subnets, Routing, NAT, Firewalls
- EC2 provisioning & autoscaling
- Load balancing & High Availability
- Terraform for Infrastructure as Code
- CI/CD pipelines using Jenkins / GitHub Actions
- Docker containerization & Kubernetes basics
2️⃣ Cybersecurity & Cloud Security
- IAM roles, policies, access control
- Server security & hardening
- SSL/TLS, encryption, key management
- Secure VPC & subnet design
- Threat detection & logging
- Secrets management
- Network segmentation & firewall best practices
3️⃣ AI & Machine Learning
- Python for ML
- Supervised and unsupervised algorithms
- Data preprocessing & model training
- Model evaluation & optimization
- Build ML inference APIs using FastAPI/Flask
- Containerize and deploy ML models to cloud
- Integrate monitoring for ML workflows
✅ Live Hands‑On Projects
Interns will work on real-world, production-grade projects such as:
- Deploy a secure 3‑tier web application on cloud
- Automate infra provisioning using Terraform
- Build CI/CD pipelines for automated deployments
- Harden servers & configure security groups, IAM
- Develop and deploy an ML model as a cloud API
- Create monitoring dashboards with Prometheus/Grafana
- End-to-end system deployment with logging and alerting
Each intern will complete a Capstone Project and present it during the final evaluation.
✅ Internship Deliverables
- Internship Completion Certificate
- 3+ Production‑level projects
- GitHub portfolio with all code and deployments
- Cloud & ML documentation
- Resume enhancement and guidance
- Career mentoring + interview preparation
✅ Who Should Apply
This internship is ideal for:
- Fresh graduates
- Final‑year engineering or IT students
- BSc, BCA, MCA, B.Tech learners
- Professionals switching careers to Cloud/DevOps/AI
- Anyone seeking hands‑on, real‑time industry experience
✅ Program Fee
₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)
✅ Certificate Provided
All participants will receive a verified Internship Certificate, including:
- Candidate Name
- Internship Duration & Dates
- Skills Covered
- Project Evaluation Score
- Authorized Signatory & Company Seal
Job Description:
As a DevOps Engineer at Cateina Technology, you will play a crucial role in enhancing our development
and deployment processes. You will work closely with development, QA, and operations teams to ensure
seamless integration and delivery of high-quality software. Your expertise will contribute to the stability,
scalability, and performance of our applications and infrastructure.
Key Responsibilities:
● Infrastructure Management: Design, implement, and maintain scalable, secure, and reliable
infrastructure on cloud platforms (AWS)
● Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines
to automate code deployment, testing, and delivery processes.
● Monitoring and Logging: Implement monitoring, logging, and alerting solutions to ensure
system performance, availability, and reliability.
● Configuration Management: Use configuration management tools (Ansible, Puppet, Chef) to
automate system setup, configuration, and updates.
● Collaboration: Work closely with development teams to understand their needs and provide
support for development, testing, and deployment environments.
● Security: Implement security best practices and ensure compliance with industry standards.
● Troubleshooting: Diagnose and resolve issues in development, testing, and production
environments.
Documentation: Maintain detailed and accurate documentation of configurations, processes,
and procedures.
Requirements:
● Experience: 4-5 years of experience in a DevOps or related role.
● Technical Skills:
o Strong experience with cloud platforms (AWS)
o Proficiency in scripting languages (Python, Bash, etc.).
o Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.).
o Knowledge of containerization and orchestration (Docker)
o Familiarity with configuration management tools (Ansible, Puppet, Chef).
o Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack).
o Mandatory Technical Skills Kubernetes.
● Soft Skills:
o Strong problem-solving and analytical skills.
o Excellent communication and collaboration abilities.
o Ability to work in a fast-paced and dynamic environment.
Preferred Qualifications:
● Certifications: Relevant certifications (AWS Certified DevOps Engineer, Docker Certified
Associate, etc.) are a plus.
● Education: Bachelor's degree in Computer Science, Engineering, or a any field is preferred.
Who can apply
Candidates who:
● Are local to Mumbai and suburbs(must come to office, it is not work from home) outside
Mumbai candidates will not be considered
● have own laptop or desktop
● are flexible to work on any technology
● openness to work in shifts (if required)
● are willing to travel to client site anywhere in India (if required)
KubernetesDockerAmazon Web Services (AWS)(Candidates from Service based Companies apply-Looking for automation(shell or python scripting))
SHIFT- Shift time either US East coast or west coast (2:30 PM to 10:30 PM India time or 5 to 2 am india time)
Exp- 5 to 8 years
Salary- Upto 25 LPA
Hyderabad based candidates preferred!
Immediate joiners would be preferred!!
Role Objective:
- Ability to identify processes where efficiency could be improved via automation
- Ability to research, prototype, iterate and test automation solutions
- Good Technical understanding of Cloud service offering, with a sound appreciation of the associated business processes.
- Ability to build & maintain a strong working relationship with other Technical teams using the agile methodology (internal and external), Infrastructure Partners and Service Engagement Managers.
- Ability to shape and co-ordinate delivery of key initiatives to deliver improvements in stability
- Good understanding of the cost of the e2e service provision, and delivery of associated savings.
- Knowledge of web security principals
- Strong Linux experience – comfortable working from command line
- Some networking knowledge (routing, DNS)
- Knowledge of HA and DR concepts and experience implementing them
- Working with team to analyse and design infrastructure with 99.99% up-time.
Qualifications:
- Infrastructure automation through DevOps scripting (Eg Python, Ruby, PowerShell, Java, shell) or previous software development experience
- Experience in building and managing production cloud environments from the ground up.
- Hands-on, working experience with primary AWS services (EC2, VPC, RDS, Route53, S3)
- Knowledge on repository management (GitHub, SVN)
- Solid understanding of web application architecture and RDBMS (SQL Server preferred).
- Experience with IT compliance and risk management requirements is a bonus. (Eg Security, Privacy, HIPAA, SOX, etc)
- Strong logical, analytical and problem-solving skills with excellent communication skills.
- Should have degree in computer science, MIS, engineering or equivalent with 5+ years of experience.
- Should be willing to work in rotational shifts (including the nights)
Perks and benefits:
- Health & Wellness
- Paid time off
- Learning at work
- Fun at work
- Night shift allowance
- Comp off
- Pick and drop facility available to certain distance
DockerAmazon Web Services (AWS)KubernetesMultiplier enables companies to employ anyone, anywhere in a few clicks. Our
SaaS platform combines the multi-local complexities of hiring & paying employees
anywhere in the world, and automates everything. We are passionate about
creating a world where people can get a job they love, without having to leave the
people they love.
We are an early stage start up with a "Day one" attitude and we are building a
team that will make Multiplier the market leader in this space. Every day is an
exciting one at Multiplier right now because we are figuring out a real problem in
the market and building a first-of-its-kind product around it. We are looking for
smart and talented people who will add on to our collective energy and share the
same excitement in making Multiplier a big deal. We are headquartered in
Singapore, but our team is remote.
What will I be doing? 👩💻👨💻
Owning and managing our cloud infrastructure on AWS.
Working as part of product development from inception to launch, and own
deployment pipelines through to site reliability.
Ensuring a high availability production site with proper alerting, monitoring and
security in place.
Creating an efficient environment for product development teams to build, test
and deploy features quickly by providing multiple environments for testing and
staging.
Use infrastructure as code and the best of methods and tools in DevOps to
innovate and keep improving.
Create an automation culture and add automation to wherever it is needed..
DevOps Engineer Remote) 2
What do I need? 🤓
4 years of industry experience in a similar DevOps role, preferably as part of
a SaaS
product team. You can demonstrate the significant impact your work has had
on the product and/or the team.
Deep knowledge in AWS and the services available. 2 years of experience in
building complex architecture on cloud infrastructure.
Exceptional understanding of containerisation technologies and Docker. Have
had hands on experience with Kubernetes, AWS ECS and AWS EKS.
Experience with Terraform or any other infrastructure as code solutions.
Able to comfortably use at least one high level programming languages such
as Java, Javascript or Python. Hands on experiences of scripting in bash,
groovy and others.
Good understanding of security in web technologies and cloud infrastructure.
Work with and solve problems of very complex nature and enjoy doing it.
Willingness to quickly learn and use new technologies or frameworks.
Clear and responsive communication.
DockerKubernetesAmazon Web Services (AWS)Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Excellent communication skills
Open to work on EST time zone(6pm to 3am)
Technical Skills:
· In depth understanding of DevSecOps process and governance
· Understanding of various branching strategies
· Hands on experience working with various testing and scanning tools (ex. SonarQube, Snyk, Blackduck, etc.)
· Expertise working with one or more CICD platforms (ex. Azure DevOps, GitLab, GitHub Actions, etc)
· Expertise within one CSP and experience/working knowledge of a second CSP (Azure, AWS, GCP)
· Proficient with Terraform
· Hands on experience working with Kubernetes
· Proficient working with GIT version control
· Hands on experience working with monitoring/observability tool(s) (Splunk, Data Dog, Dynatrace, etc)
· Hands on experience working with Configuration Management platform(s) (Chef, Saltstack, Ansible, etc)
· Hands on experience with GitOps
Amazon Web Services (AWS)We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The
candidate will be responsible for automating the deployment of cloud infrastructure and services to
support application development and hosting (architecting, engineering, deploying, and operationally
managing the underlying logical and physical cloud computing infrastructure).
Location: Bangalore
Reporting Manager: VP, Engineering
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless,
microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
● Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with
a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team
● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud
Storage, Networking in general
● Collaborate with Product Management and Product Engineering teams to drive excellence in
Google Cloud products and features.
● Ensures efficient data storage and processing functions in accordance with company security
policies and best practices in cloud security.
● Ensuring scaled database setup/montioring with near zero downtime
Key Skills:
● Hands-on software development experience in Python, NodeJS, or Java
● 5+ years of Linux/Unix Administration monitoring, reliability, and security of Linux-based, online,
high-traffic services and Web/eCommerce properties
● 5+ years of production experience in large-scale cloud-based Infrastructure (GCP preferred)
● Strong experience with Log Analysis and Monitoring tools such as CloudWatch, Splunk,Dynatrace, Nagios, etc.
● Hands-on experience with AWS Cloud – EC2, S3 Buckets, RDS
● Hands-on experience with Infrastructure as a Code (e.g., cloud formation, ARM, Terraform,Ansible, Chef, Puppet) and Version control tools
● Hands-on experience with configuration management (Chef/Ansible)
● Experience in designing High Availability infrastructure and planning for Disaster Recovery solutions
Regards
Team Merito
PythonAmazon Web Services (AWS)Docker- Hands-on experience building database-backed web applications using Python based frameworks
- Excellent knowledge of Linux and experience developing Python applications that are deployed in Linux environments
- Experience building client-side and server-side API-level integrations in Python
- Experience in containerization and container orchestration systems like Docker, Kubernetes, etc.
- Experience with NoSQL document stores like the Elastic Stack (Elasticsearch, Logstash, Kibana)
- Experience in using and managing Git based version control systems - Azure DevOps, GitHub, Bitbucket etc.
- Experience in using project management tools like Jira, Azure DevOps etc.
- Expertise in Cloud based development and deployment using cloud providers like AWS or Azure
Amazon Web Services (AWS)
Jenkins
GitThis person MUST have:
- Min of 3-5 prior experience as a DevOps Engineer.
- Expertise in CI/CD pipeline maintenance and enhancement specifically Jenkins based pipelines.
- Working experience with engineering tools like git, git work flow, bitbucket, JIRA etc
- Hands-on experience deploying and managing infrastructure with CloudFormation/Terraform
- Experience managing AWS infrastructure
- Hands on experience of Linux administration.
- Basic understanding of Kubernetes/Docker orchestration
- Works closely with engineering team for day to day activities
- Manges existing infrastructure/Pipelines/Engineering tools (On Prem or AWS) for engineering team (Build servers/Jenkin nodes etc.)
- Works with engineering team for new config required for infra like replicating the setups, adding new resources etc.
- Works closely with engineering team for improving existing pipelines for build .
- Troubleshoots problems across infrastructure/services
Experience:
- Min 5-7 year experience
Location
- Remotely, anywhere in India
Timings:
- 40 hours a week (11 AM to 7 PM).
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.
At Karza technologies, we take pride in building one of the most comprehensive digital onboarding & due-diligence platforms by profiling millions of entities and trillions of associations amongst them using data collated from more than 700 publicly available government sources. Primarily in the B2B Fintech Enterprise space, we are headquartered in Mumbai in Lower Parel with 100+ strong workforce. We are truly furthering the cause of Digital India by providing the entire BFSI ecosystem with tech products and services that aid onboarding customers, automating processes and mitigating risks seamlessly, in real-time and at fraction of the current cost.
A few recognitions:
- Recognized as Top25 startups in India to work with 2019 by LinkedIn
- Winner of HDFC Bank's Digital Innovation Summit 2020
- Super Winners (Won every category) at Tecnoviti 2020 by Banking Frontiers
- Winner of Amazon AI Award 2019 for Fintech
- Winner of FinTech Spot Pitches at Fintegrate Zone 2018 held at BSE
- Winner of FinShare 2018 challenge held by ShareKhan
- Only startup in Yes Bank Global Fintech Accelerator to win the account during the Cohort
- 2nd place Citi India FinTech Challenge 2018 by Citibank
- Top 3 in Viacom18's Startup Engagement Programme VStEP
What your average day would look like:
- Deploy and maintain mission-critical information extraction, analysis, and management systems
- Manage low cost, scalable streaming data pipelines
- Provide direct and responsive support for urgent production issues
- Contribute ideas towards secure and reliable Cloud architecture
- Use open source technologies and tools to accomplish specific use cases encountered within the project
- Use coding languages or scripting methodologies to solve automation problems
- Collaborate with others on the project to brainstorm about the best way to tackle a complex infrastructure, security, or deployment problem
- Identify processes and practices to streamline development & deployment to minimize downtime and maximize turnaround time
What you need to work with us:
- Proficiency in at least one of the general-purpose programming languages like Python, Java, etc.
- Experience in managing the IAAS and PAAS components on popular public Cloud Service Providers like AWS, Azure, GCP etc.
- Proficiency in Unix Operating systems and comfortable with Networking concepts
- Experience with developing/deploying a scalable system
- Experience with the Distributed Database & Message Queues (like Cassandra, ElasticSearch, MongoDB, Kafka, etc.)
- Experience in managing Hadoop clusters
- Understanding of containers and have managed them in production using container orchestration services.
- Solid understanding of data structures and algorithms.
- Applied exposure to continuous delivery pipelines (CI/CD).
- Keen interest and proven track record in automation and cost optimization.
Experience:
- 1-4 years of relevant experience
- BE in Computer Science / Information Technology
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon