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
Kubernetes
Amazon Web Services (AWS)PythonAbout Simbian
Simbian is at the forefront of cybersecurity innovation, leveraging purpose-built AI Agents to deliver 10x security outcomes for global enterprises and MSSPs. Our platform autonomously investigates and responds to alerts, freeing security teams from repetitive tasks. Simbian combines privacy-first technology, proven integration with 70+ enterprise tools, and rapid deployment for measurable value. Role
Overview
We are seeking a collaborative, innovative DevOps Engineer passionate about enabling secure, scalable operations for cutting-edge cybersecurity products. Join our team during a period of high growth and help architect the future of agentic AI security platforms.
Key Responsibilities
• Kubernetes Management:
o Manage and maintain production-grade Kubernetes clusters across multiple cloud providers (AWS is essential, Azure is valuable, GCP is a plus).
o Deploy, upgrade, troubleshoot, and scale stateful and stateless workloads (NGINX, Postgres, MongoDB, OpenCTI, OpenSearch, Kafka, Hadoop, Fluentd) in Kubernetes.
• Cloud Operations:
o Operate and optimize cloud environments, with strong expertise in AWS (AWS Certified Solutions Architect Professional or equivalent Azure cert preferred).
o Design, deploy, and manage infrastructure on AWS and Azure (GCP optional). • SQL Database Management:
o Administer SQL databases, ideally Postgres, on Kubernetes clusters or cloud VMs.
o Perform routine maintenance, backups, upgrades, monitoring, and optimization.
• Infrastructure as Code:
o Build, install, upgrade, and maintain Helm charts with expertise.
o Use and understand Ansible for cloud automation (AWS/Azure), and Terraform for infrastructure provisioning.
• Monitoring, Logging, Observability:
o Implement and manage logging and metrics stacks using OpenSearch/Elasticsearch, Prometheus, Grafana, Thanos or similar open source tools.
• Programming & Scripting:
o Develop automation scripts in Bash (proficient with control structures). o Produce scripts or microservices in Node.js (preferred) or Python/Django (bonus).
• CI/CD:
o Build and maintain CI/CD pipelines preferably using GitHub Actions (Jenkins or equivalent is acceptable).
• Containerization:
o Create, manage, and troubleshoot Docker/Podman containers, images, volumes, and use Docker Compose for local development.
• Customer-Facing On-Prem Deployments (Bonus):
o Install, configure, and support Kubernetes on customer premises.
o Demonstrate ownership, initiative, and strong customer communication skills.
o Solid knowledge of Linux administration, networking, and cloud environments.
What You’ll Bring:
• 4+ years’ experience in DevOps, SRE, or Production Engineering.
• Mastery of Kubernetes, AWS, infrastructure automation, and database management.
• Strong collaborative, curious, and growth-driven mindset.
• Ability to challenge ideas, drive innovation, and embrace rapid change.
• Excellent communication for technical customer interactions.
Why Join Simbian?
• Work with pioneering agentic AI security—impact global security teams.
• Shape infrastructure for privacy-first technology in a high-growth startup.
• Enjoy a dynamic remote-first work culture with opportunities for ownership and advancement.
KubernetesAmazon Web Services (AWS)Job Title : DevOps Engineer – Fintech (Product-Based)
Experience : 5+ Years
Location : Mumbai
Job Type : Full-Time | Product Company
Role Summary :
We are hiring a DevOps Engineer with strong product-based experience to manage infrastructure for a Fintech platform built on stateful microservices.
The role involves working across hybrid cloud + on-prem, with deep expertise in Kubernetes, Helm, GitOps, IaC, and Cloud Networking.
Mandatory Skills :
Product-based experience, deep Kubernetes (managed & self-managed), custom Helm Chart development, ArgoCD/FluxCD (GitOps), strong AWS/Azure cloud networking & security, IaC module development (Terraform/Pulumi/CloudFormation), experience with stateful microservices (DBs/queues/caches), multi-tenant deployments, HA/load balancing/SSL/TLS/cert management.
Key Responsibilities :
- Deploy and manage stateful microservices in production.
- Handle both managed & self-managed Kubernetes clusters.
- Develop and maintain custom Helm Charts.
- Implement GitOps pipelines using ArgoCD/FluxCD.
- Architect and operate secure infra on AWS/Azure (VPC, IAM, networking).
- Build reusable IaC modules using Terraform/CloudFormation/Pulumi.
- Design multi-tenant cluster deployments.
- Manage HA, load balancers, certificates, DNS, and networking.
Mandatory Skills :
- Product-based company experience.
- Strong Kubernetes (EKS/AKS/GKE + self-managed).
- Custom Helm Chart development.
- GitOps tools : ArgoCD/FluxCD.
- AWS/Azure cloud networking & security.
- IaC module development (Terraform/Pulumi/CloudFormation).
- Experience with stateful components (DBs, queues, caches).
- Understanding of multi-tenant deployments, HA, SSL/TLS, ingress, LB.
KubernetesDockerMust Have -
a. Background working with Startups
b. Good knowledge of Kubernetes & Docker
c. Background working in Azure
What you’ll be doing
- Ensure that our applications and environments are stable, scalable, secure and performing as expected.
- Proactively engage and work in alignment with cross-functional colleagues to understand their requirements, contributing to and providing suitable supporting solutions.
- Develop and introduce systems to aid and facilitate rapid growth including implementation of deployment policies, designing and implementing new procedures, configuration management and planning of patches and for capacity upgrades
- Observability: ensure suitable levels of monitoring and alerting are in place to keep engineers aware of issues.
- Establish runbooks and procedures to keep outages to a minimum. Jump in before users notice that things are off track, then automate it for the future.
- Automate everything so that nothing is ever done manually in production.
- Identify and mitigate reliability and security risks. Make sure we are prepared for peak times,
- DDoS attacks and fat fingers.
- Troubleshoot issues across the whole stack - software, applications and network.
- Manage individual project priorities, deadlines, and deliverables as part of a self-organizing team.
- Learn and unlearn every day by exchanging knowledge and new insights, conducting constructive code reviews, and participating in retrospectives.
Requirements
- 2+ years extensive experience of Linux server administration include patching, packaging (rpm), performance tuning, networking, user management, and security.
- 2+ years of implementing systems that are highly available, secure, scalable, and self-healingon Azure cloud platform
- Strong understanding of networking, especially in cloud environments along with a good understanding of CICD.
- Prior experience implementing industry standard security best practices, including those recommended by Azure
- Proficiency with Bash, and any high-level scripting language.
- Basic working knowledge of observability stacks like ELK, prometheus, grafana, Signoz etc
- Proficiency with Infrastructure as Code and Infrastructure Testing, preferably using Pulumi/Terraform.
- Hands-on experience in building and administering VMs and Containers using tools such as Docker/Kubernetes.
- Excellent communication skills, spoken as well as written, with a demonstrated ability to articulate technical problems and projects to all stakeholders.
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
KubernetesDockerAmazon Web Services (AWS)- Candidate should be able to write the sample programs using the Tools (Bash, PowerShell, Python or Shell scripting)
- Analytical/logical reasoning
- GitHub Actions
- Should have good working experience with GitHub Actions
- Repository/Workflow Dispatch, writing reusable workflows, etc
- AZ CLI commands
- Hands-on experience with AZ CLI commands
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
KubernetesDockerAmazon Web Services (AWS)About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities:
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Implement consistent observability, deployment and IaC setups
- Patch production systems to fix security/performance issues
- Actively respond to escalations/incidents in the production environment from customers or the support team
- Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Participate in infrastructure security audits
Requirements:
- At least 5 years of experience in handling/building Production environments in AWS.
- At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
- Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.
KubernetesWe are looking for an experienced DevOps (Development and Operations) professional to join our growing organization. In this position, you will be responsible for finding and reporting bugs in web and mobile apps & assist Sr DevOps to manage infrastructure projects and processes. Keen attention to detail, problem-solving abilities, and a solid knowledge base are essential.
As a DevOps, you will work in a Kubernetes based microservices environment.
Experience in Microsoft Azure cloud and Kubernetes is preferred, not mandatory.
Ultimately, you will ensure that our products, applications and systems work correctly.
Responsibilities:
- Detect and track software defects and inconsistencies
- Apply quality engineering principals throughout the Agile product lifecycle
- Handle code deployments in all environments
- Monitor metrics and develop ways to improve
- Consult with peers for feedback during testing stages
- Build, maintain, and monitor configuration standards
- Maintain day-to-day management and administration of projects
- Manage CI and CD tools with team
- Follow all best practices and procedures as established by the company
- Provide support and documentation
Required Technical and Professional Expertise
- Minimum 2+ years if DevOps
- Have experience in SaaS infrastructure development and Web Apps
- Experience in delivering microservices at scale; designing microservices solutions
- Proven Cloud experience/delivery of applications on Azure
- Proficient in configuration Management tools such as Ansible or any of Terraform Puppet, Chef, Salt, etc
- Hands-on experience in Networking/network configuration, Application performance monitoring, Container performance, and security.
- Understanding of Kubernetes, Python along with scripting languages like bash/shell
- Good to have experience in Linux internals, Linux packaging, Release Engineering (Branching, versioning, tagging), Artifact repository, Artifactory, Nexus, and CI/CD tooling (Concourse CI, Travis, Jenkins)
- Must be a proactive person
- You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies
- An ambitious individual who can work under their own direction towards agreed targets/goals and with a creative approach to work.
- An intuitive individual with an ability to manage change and proven time management
- Proven interpersonal skills while contributing to team effort by accomplishing related results as needed.
PostgreSQL
JenkinsMTX Group Inc. is seeking a motivated Lead DevOps Engineer to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.
Responsibilities:
- Be responsible for software releases, configuration, monitoring and support of production system components and infrastructure.
- Troubleshoot technical or functional issues in a complex environment to provide timely resolution, with various applications and platforms that are global.
- Bring experience on Google Cloud Platform.
- Write scripts and automation tools in languages such as Bash/Python/Ruby/Golang.
- Configure and manage data sources like PostgreSQL, MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc
- Build automation and tooling around Google Cloud Platform using technologies such as Anthos, Kubernetes, Terraform, Google Deployment Manager, Helm, Cloud Build etc.
- Bring a passion to stay on top of DevOps trends, experiment with and learn new CI/CD technologies.
- Work with users to understand and gather their needs in our catalogue. Then participate in the required developments
- Manage several streams of work concurrently
- Understand how various systems work
- Understand how IT operations are managed
What you will bring:
- 5 years of work experience as a DevOps Engineer.
- Must possess ample knowledge and experience in system automation, deployment, and implementation.
- Must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.
- Experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, MySQL, and Git.
- Knowledge in handling distributed data systems. Examples: Elasticsearch, Cassandra, Hadoop, and others.
What we offer:
- Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
- Sum Insured: INR 5,00,000/-
- Maternity cover upto two children
- Inclusive of COVID-19 Coverage
- Cashless & Reimbursement facility
- Access to free online doctor consultation
- Personal Accident Policy (Disability Insurance) -
- Sum Insured: INR. 25,00,000/- Per Employee
- Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
- Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
- Temporary Total Disability is covered
- An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver benefit
- Monthly Internet Reimbursement of upto Rs. 1,000
- Opportunity to pursue Executive Programs/ courses at top universities globally
- Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others
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DockerKubernetesAmazon Web Services (AWS)- 2+ years of demonstrable experience leading site reliability and performance in large-scale, high-traffic environments
- 2+ years of hands-on experience as a DevOps engineer
- Strong leadership, communication and interpersonal skills geared to getting things done
- Developing themselves and the talent within their charge – fostering and creating opportunity for the team
- Strong understanding of SRE concepts and the DevOps culture. Set the direction and strategy for your team, and help shape the overall SRE program for the company
- Be able to lead complicated technical issues and communicating status updates/RCA with management and customers.
- Own site stability, performance, capacity planning, DevOps recruitment.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon