Experience of Linux
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues

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DevOps Engineer
AiSensy
Gurugram, Haryana, India (On-site)
About AiSensy
AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco., Wipro, Asian Paints, India Today Group Skullcandy, Vivo, Physicswallah, Cosco grow their revenues via WhatsApp.
- Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing
- 400Crores + WhatsApp Messages done between Businesses and Users via AiSensy per year
- Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more
- High Impact as Businesses drive 25-80% Revenues using AiSensy Platform
- Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors
Now, we’re looking for a DevOps Engineer to help scale our infrastructure and optimize performance for millions of users. 🚀
What You’ll Do (Key Responsibilities)
🔹 CI/CD & Automation:
- Implement, manage, and optimize CI/CD pipelines using AWS CodePipeline, GitHub Actions, or Jenkins.
- Automate deployment processes to improve efficiency and reduce downtime.
🔹 Infrastructure Management:
- Use Terraform, Ansible, Chef, Puppet, or Pulumi to manage infrastructure as code.
- Deploy and maintain Dockerized applications on Kubernetes clusters for scalability.
🔹 Cloud & Security:
- Work extensively with AWS (Preferred) or other cloud platforms to build and maintain cloud infrastructure.
- Optimize cloud costs and ensure security best practices are in place.
🔹 Monitoring & Troubleshooting:
- Set up and manage monitoring tools like CloudWatch, Prometheus, Datadog, New Relic, or Grafana to track system performance and uptime.
- Proactively identify and resolve infrastructure-related issues.
🔹 Scripting & Automation:
- Use Python or Bash scripting to automate repetitive DevOps tasks.
- Build internal tools for system health monitoring, logging, and debugging.
What We’re Looking For (Must-Have Skills)
✅ Version Control: Proficiency in Git (GitLab / GitHub / Bitbucket)
✅ CI/CD Tools: Hands-on experience with AWS CodePipeline, GitHub Actions, or Jenkins
✅ Infrastructure as Code: Strong knowledge of Terraform, Ansible, Chef, or Pulumi
✅ Containerization & Orchestration: Experience with Docker & Kubernetes
✅ Cloud Expertise: Hands-on experience with AWS (Preferred) or other cloud providers
✅ Monitoring & Alerting: Familiarity with CloudWatch, Prometheus, Datadog, or Grafana
✅ Scripting Knowledge: Python or Bash for automation
Bonus Skills (Good to Have, Not Mandatory)
➕ AWS Certifications: Solutions Architect, DevOps Engineer, Security, Networking
➕ Experience with Microsoft/Linux/F5 Technologies
➕ Hands-on knowledge of Database servers
As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.
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Development of automation scripts and pipelines for deployment and monitoring of new production environments.
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Development of automation scripts for upgrades, hotfixes deployments and maintenance.
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Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.
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Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.
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Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.
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Write Knowledge articles to document known issues and best practices.
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Conduct regression tests to validate solutions or workarounds.
-
Work in a globally distributed team.
What achievements should you have so far?
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Bachelor's or master’s degree in Computer Science, Information Systems, or equivalent.
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Experience with containerization, deployment, and operations.
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Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).
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Good experience with Linux systems and Shell scripting.
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Basic cloud experience, preferably oriented on MS Azure.
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Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).
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Good Networking skills and experience.
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Having Terraform or CloudFormation knowledge will be considered a plus.
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Ability to analyze a task from a system perspective.
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Excellent problem-solving and troubleshooting skills.
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Excellent written and verbal communication skills; mastery in English and local language.
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Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.
Kutumb is the first and largest communities platform for Bharat. We are growing at an exponential trajectory. More than 1 Crore users use Kutumb to connect with their community. We are backed by world-class VCs and angel investors. We are growing and looking for exceptional Infrastructure Engineers to join our Engineering team.
More on this here - https://kutumbapp.com/why-join-us.html">https://kutumbapp.com/why-join-us.html
We’re excited if you have:
- Recent experience designing and building unified observability platforms that enable companies to use the sometimes-overwhelming amount of available data (metrics, logs, and traces) to determine quickly if their application or service is operating as desired
- Expertise in deploying and using open-source observability tools in large-scale environments, including Prometheus, Grafana, ELK (ElasticSearch + Logstash + Kibana), Jaeger, Kiali, and/or Loki
- Familiarity with open standards like OpenTelemetry, OpenTracing, and OpenMetrics
- Familiarity with Kubernetes and Istio as the architecture on which the observability platform runs, and how they integrate and scale. Additionally, the ability to contribute improvements back to the joint platform for the benefit of all teams
- Demonstrated customer engagement and collaboration skills to curate custom dashboards and views, and identify and deploy new tools, to meet their requirements
- The drive and self-motivation to understand the intricate details of a complex infrastructure environment
- Using CICD tools to automatically perform canary analysis and roll out changes after passing automated gates (think Argo & keptn)
- Hands-on experience working with AWS
- Bonus points for knowledge of ETL pipelines and Big data architecture
- Great problem-solving skills & takes pride in your work
- Enjoys building scalable and resilient systems, with a focus on systems that are robust by design and suitably monitored
- Abstracting all of the above into as simple of an interface as possible (like Knative) so developers don't need to know about it unless they choose to open the escape hatch
What you’ll be doing:
- Design and build automation around the chosen tools to make onboarding new services easy for developers (dashboards, alerts, traces, etc)
- Demonstrate great communication skills in working with technical and non-technical audiences
- Contribute new open-source tools and/or improvements to existing open-source tools back to the CNCF ecosystem
Tools we use:
Kops, Argo, Prometheus/ Loki/ Grafana, Kubernetes, AWS, MySQL/ PostgreSQL, Apache Druid, Cassandra, Fluentd, Redis, OpenVPN, MongoDB, ELK
What we offer:
- High pace of learning
- Opportunity to build the product from scratch
- High autonomy and ownership
- A great and ambitious team to work with
- Opportunity to work on something that really matters
- Top of the class market salary and meaningful ESOP ownership
Hiring for a funded fintech startup based out of Bangalore!!!
Our Ideal Candidate
We are looking for a Senior DevOps engineer 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.
Requirements
- 5-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, Teraform, 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
Desired Non-technical Requirements
- Very strong communication skills both written and verbal
- Strong desire to work with start-ups
- Must be a team player
Job Perks
- Attractive variable compensation package
- Flexible working hours – everything is results-oriented
- Opportunity to work with an award-winning organization in the hottest space in tech – artificial intelligence and advanced machine learning
Hands on Experience with Linux administration
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
Araali Networks is seeking a highly driven DevOps engineer to help streamline the release and deployment process, while assuring high quality.
Responsibilities:
Use best practices to streamline the release process
Use IaC methods to manage cloud infrastructure
Use test automation for release qualification
Skills and Qualifications:
Hands-on experience in managing release pipelines
Good understanding of public cloud infrastructure
Working knowledge of python test frameworks like pyunit, and automation tools like Selenium, Cucumber etc
Strong analytical and debugging skills
Bachelor’s degree in Computer Science
About Araali:
Araali Networks is a SaaS based cybersecurity startup that has raised a total of $10M from well known investors like A Capital, Firebolt Ventures and SV Angels, and and through a strategic investment by a publicly traded security company.
The company is disrupting the cloud firewall market by auto-creating nano-perimeters around every cloud app. The Araali solution enables developers to focus on features and improves the security posture through simplification and automation.
The security controls are embedded at the time of DevOps. The precision of Araali controls also helps with security operations where alerts are precise and intelligently routed to the right app team, making it actionable in real-time.
Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech
to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering,
AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We
are one of the top & the fastest growing partners for Google Cloud and AWS globally with
over 2,500 clients successfully moved to cloud.
What we believe?
1. Best practices are overrated
○ Implementing best practices can only make one n ‘average’ .
2. Honesty and Transparency
○ We believe in naked truth. We do what we tell and tell what we do.
3. Client Partnership
○ Client - Vendor relationship: No. We partner with clients instead.
○ And our sales team comprises 100% of our clients.
How we work?
It’s all about being Happier first. And rest follows. Searce work culture is defined by
HAPPIER.
1. Humble: Happy people don’t carry ego around. We listen to understand; not to
respond.
2. Adaptable: We are comfortable with uncertainty. And we accept changes well. As
that’s what life's about.
3. Positive: We are super positive about work & life in general. We love to forget and
forgive. We don’t hold grudges. We don’t have time or adequate space for it.
4. Passionate: We are as passionate about the great street-food vendor across the
street as about Tesla’s new model and so on. Passion is what drives us to work and
makes us deliver the quality we deliver.
5. Innovative: Innovate or Die. We love to challenge the status quo.
6. Experimental: We encourage curiosity & making mistakes.
7. Responsible: Driven. Self motivated. Self governing teams. We own it.
Are you the one? Quick self-discovery test:
1. Love for cloud: When was the last time your dinner entailed an act on “How would
‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did
the ‘Sheldon’ version of the same thing.
2. Passion for sales: When was the last time you went at a remote gas station while on
vacation, and ended up helping the gas station owner saasify his 7 gas stations
across other geographies.
3. Compassion for customers: You listen more than you speak. When you do speak,
people feel the need to listen.
4. Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can
attempt to take humanity to Mars, why can’t we take your business to run on cloud ?
Your bucket of undertakings:
This position will be responsible to consult with clients and propose architectural solutions
to help move & improve infra from on-premise to cloud or help optimize cloud spend from
one public cloud to the other.
1. Be the first one to experiment on new age cloud offerings, help define the best
practise as a thought leader for cloud, automation & Dev-Ops, be a solution
visionary and technology expert across multiple channels.
2. Continually augment skills and learn new tech as the technology and client needs
evolve
3. Use your experience in Google cloud platform, AWS or Microsoft Azure to build
hybrid-cloud solutions for customers.
4. Provide leadership to project teams, and facilitate the definition of project
deliverables around core Cloud based technology and methods.
5. Define tracking mechanisms and ensure IT standards and methodology are met;
deliver quality results.
6. Participate in technical reviews of requirements, designs, code and other artifacts
7. Identify and keep abreast of new technical concepts in google cloud platform
8. Security, Risk and Compliance - Advise customers on best practices around access
management, network setup, regulatory compliance and related areas.
Accomplishment Set
● Passionate, persuasive, articulate Cloud professional capable of quickly establishing
interest and credibility
● Good business judgment, a comfortable, open communication style, and a
willingness and ability to work with customers and teams.
● Strong service attitude and a commitment to quality.
● Highly organised and efficient.
● Confident working with others to inspire a high-quality standard.
Education, Experience, etc.
1. Is Education overrated? Yes. We believe so. However there is no way to locate you
otherwise. So unfortunately we might have to look for a Bachelor's or Master's
degree in engineering from a reputed institute or you should be programming from
12. And the latter is better. We will find you faster if you specify the latter in some
manner. Not just degree, but we are not too thrilled by tech certifications too ... :)
2. To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the
new-age cloud tech, highly analytical aptitude and a strong ‘desire to deliver’ outlives
those fancy degrees!
3. 1 - 5 years of experience with at least 2 - 3 years of hands-on experience in Cloud
Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise
environment.
4. Good analytical, communication, problem solving, and learning skills.
5. Knowledge on programming against cloud platforms such as Google Cloud Platf
Are you the one? Quick self-discovery test:
- Love for the cloud: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing.
- Passion: When was the last time you went to a remote gas station while on vacation and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
- Compassion for customers: You listen more than you speak. When you do speak, people feel the need to listen.
- Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on the cloud?
Your bucket of undertakings:
This position will be responsible to consult with clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other.
- Be the first one to experiment on new-age cloud offerings, help define the best practice as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels.
- Continually augment skills and learn new tech as the technology and client needs evolve
- Use your experience in the Google cloud platform, AWS, or Microsoft Azure to build hybrid-cloud solutions for customers.
- Provide leadership to project teams, and facilitate the definition of project deliverables around core Cloud-based technology and methods.
- Define tracking mechanisms and ensure IT standards and methodology are met; deliver quality results.
- Participate in technical reviews of requirements, designs, code, and other artifacts
- Identify and keep abreast of new technical concepts in the google cloud platform
- Security, Risk, and Compliance - Advise customers on best practices around access management, network setup, regulatory compliance, and related areas.
Accomplishment Set
- Passionate, persuasive, articulate Cloud professional capable of quickly establishing interest and credibility
- Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.
- Strong service attitude and a commitment to quality.
- Highly organised and efficient.
- Confident working with others to inspire a high-quality standard.
Experience :
- 4-8 years experience in Cloud Infrastructure and Operations domains
- Experience with Linux systems and/OR Windows servers
- Specialize in one or two cloud deployment platforms: AWS, GCP
- Hands on experience with AWS services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine, API Gateway, AppSync and ServiceMesh)
- Experience in one or more scripting language-Python, Bash
- Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios
- Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)
- DevOps Technologies (AWS DevOps, Jenkins, Git, Maven)
- Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef, Packer
- Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)
Education :
- Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So unfortunately we might have to look for a Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better. We will find you faster if you specify the latter in some manner. Not just degree, but we are not too thrilled by tech certifications too ... :)
- To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong ‘desire to deliver’ outlives those fancy degrees!
- 3-8 years of experience with hands-on experience in Cloud Computing (AWS/GCP) and IT operational experience in a global enterprise environment.
- Good analytical, communication, problem solving, and learning skills.
- Knowledge on programming against cloud platforms such as Google Cloud Platform and lean development methodologies.
DevOps 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









