
Job description
Problem Statement-Solution
Only 10% of India speaks English and 90% speak over 25 languages and 1000s of dialects. The internet has largely been in English. A good part of India is now getting internet connectivity thanks to cheap smartphones and Jio. The non-English speaking internet users will balloon to about 600 million users out of the total 750 million internet users in India by 2020. This will make the vernacular segment one of the largest segments in the world - almost 2x the size of the US population. The vernacular segment has very few products that they can use on the internet.
One large human need is that of sharing thoughts and connecting with people of the same community on the basis of language and common interests. Twitter serves this need globally but the experience is mostly in English. There’s a large unaddressed need for these vernacular users to express themselves in their mother tongue and connect with others from their community. Koo is a solution to this problem.
About Koo
Koo was founded in March 2020, as a micro-blogging platform in both Indian languages and English, which gives a voice to the millions of Indians who communicate in Indian languages.
Currently available in Assamese, Bengali, English, Hindi, Kannada, Marathi, Tamil and Telugu, Koo enables people from across India to express themselves online in their mother tongues. In a country where under 10% of the population speaks English as a native language, Koo meets the need for a social media platform that can deliver an immersive language experience to an Indian user, thereby enabling them to connect and interact with each other. The recently introduced ‘Talk to Type’ enables users to leverage the voice assistant to share their thoughts without having to type. In August 2021, Koo crossed 10 million downloads, in just 16 months of launch.
Since June 2021, Koo is available in Nigeria.
Founding Team
Koo is founded by veteran internet entrepreneurs - Aprameya Radhakrishna (CEO, Taxiforsure) and Mayank Bidawatka (Co-founder, Goodbox & Coreteam, redBus).
Technology Team & Culture
The technology team comprises sharp coders, technology geeks and guys who have been entrepreneurs or are entrepreneurial and extremely passionate towards technology. Talent is coming from the likes of Google, Walmart, Redbus, Dailyhunt. Anyone being part of a technology team will have a lot to learn from their peers and mentors. Download our android app and take a look at what we’ve built. Technology stack compromises of a wide variety of cutting-edge technologies like Kotlin, Java 15, Reactive Programming, MongoDB, Cassandra, Kubernetes, AWS, NodeJS, Python, ReactJS, Redis, Aerospike, ML, Deep learning etc. We believe in giving a lot of independence and autonomy to ownership-driven individuals.
Technology skill sets required for a matching profile
- Experience between 3 to 7 years in a devops role with mandatory one or more stints at a fast paced startup.
- Mandatory experience with containers, kubernetes (EKS) (setting up from scratch), istio and microservices.
- Sound knowledge of technologies like Terraform, Automation Scripts, Cron jobs etc. Must have worked with goals of putting infra as code like setting up new environments with code.
- Knowledge of industry standards around monitoring, alerting, self healing, high availability, auto scaling etc.
- Exhaustive experience with various cloud technologies (especially on AWS) like SQS, SNS, Elastic Search, Elastic Cache, Elastic Transcoder, VPC, Subnets, Security groups etc.
- Must have set up stable CI-CD pipelines with capabilities to do zero downtime deployments on any one of rolling updates, blue green or canary modes.
- Experience with VPN and LDAP solutions for securely login to infrastructure and proving SSO. 8. Master of deploying and troubleshooting all layers of application from network, frontend, backend and databases (MongoDB, Redis, Postgres, Cassandra, ElasticSearch, Aerospike etc).

About Koo App
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We’re hiring a DevOps Engineer who’s passionate about automation, reliability, and scaling infrastructure for modern cloud-native applications. If you thrive in dynamic environments and love problem-solving at scale, we’d love to meet you!
🔧 Key Responsibilities
- Manage and support production systems with on-call rotations
- Deploy and maintain scalable infrastructure on AWS (ECS, EC2, EKS, S3, RDS, ELB, IAM, Lambda)
- Build infrastructure using Terraform
- Manage and monitor Kubernetes clusters and Docker containers
- Automate deployment and configuration using Ansible or similar tools
- Ensure systems reliability using robust monitoring and alerting tools
- Work with Linux OS, and network protocols like HTTP, DNS, SMTP, LDAP
- Manage services like Nginx, HAProxy, MySQL, SSH
- Collaborate with development, QA, and product teams
- Document systems and infrastructure best practices
✅ Required Skills
- 4+ years in DevOps, SRE, or Systems Administration
- Hands-on experience with AWS, Kubernetes, Docker
- Proficient with Terraform, Ansible, and Linux systems
- Strong understanding of networking, system logs, and debugging
- Excellent communication and documentation skills
- 2+ years work experience in a DevOps or similar role
- Knowledge of OO programming and concepts (Java, C++, C#, Python)
- A drive towards automating repetitive tasks (e.g., scripting via Bash, Python, etc)
- Fluency in one or more scripting languages such as Python or Ruby.
- Familiarity with Microservice-based architectures
- Practical experience with Docker containerization and clustering (Kubernetes/ECS)
- In-depth, hands-on experience with Linux, networking, server, and cloud architectures.
- Experience with CI/CD tools Azure DevOps, AWS cloud formation, Lamda functions, Jenkins, and Ansible
- Experience with AWS, Azure, or another cloud PaaS provider.
- Solid understanding of configuration, deployment, management, and maintenance of large cloud-hosted systems; including auto-scaling, monitoring, performance tuning, troubleshooting, and disaster recovery
- Proficiency with source control, continuous integration, and testing pipelines
- Effective communication skills
Job Responsibilities:
- Deploy and maintain critical applications on cloud-native microservices architecture.
- Implement automation, effective monitoring, and infrastructure-as-code.
- Deploy and maintain CI/CD pipelines across multiple environments.
- Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them.
- Analyze how customers are using the platform and help drive continuous improvement.
- Support and work alongside a cross-functional engineering team on the latest technologies.
- Iterate on best practices to increase the quality & velocity of deployments.
- Sustain and improve the process of knowledge sharing throughout the engineering team
- Identification and prioritization of technical debt that risks instability or creates wasteful operational toil.
- Own daily operational goals with the team.
Head Kubernetes
Docker, Kubernetes Engineer – Remote (Pan India)
ABOUT US
Established in 2009, Ashnik is a leading open-source solutions and consulting company in South East Asia and India, headquartered in Singapore. We enable digital transformation for large enterprises through our design, architecting, and solution skills. Over 100 large enterprises in the region have acknowledged our expertise in delivering solutions using key open-source technologies. Our offerings form critical part of Digital transformation, Big Data platform, Cloud and Web acceleration and IT modernization. We represent EDB, Pentaho, Docker, Couchbase, MongoDB, Elastic, NGINX, Sysdig, Redis Labs, Confluent, and HashiCorp as their key partners in the region. Our team members bring decades of experience in delivering confidence to enterprises in adopting open source software and are known for their thought leadership.
THE POSITION
Ashnik is looking for talented and passionate Technical consultant to be part of the training team and work with customers on DevOps Solution. You will be responsible for implementation and consultations related work for customers across SEA and India. We are looking for personnel with personal qualities like -
- Passion for working for different customers and different environments.
- Excellent communication and articulation skills
- Aptitude for learning new technology and willingness to understand technologies which he/she is not directly working on.
- Willingness to travel within and outside the country.
- Ability to independently work at the customer site and navigate through different teams.
SKILLS AND EXPERIENCE
ESSENTIAL SKILLS
- 3+ years of experience with B.E/ B.Tech, MCA, Graduation Degree with higher education in the technical field.
- Must have prior experience with docker containers, swarm and/or Kubernetes.
- Understanding of Operating System, processes, networking, and containers.
- Experience/exposure in writing and managing Dockerfile or creating container images.
- Experience of working on Linux platform.
- Ability to perform installations and system/software configuration on Linux.
- Should be aware of networking and SSL/TLS basics.
- Should be aware of tools used in complex enterprise IT infra e.g. LDAP, AD, Centralized Logging solution etc.
A preferred candidate will have
- Prior experience with open source Kubernetes or another container management platform like OpenShift, EKS, ECS etc.
- CNCF Kubernetes Certified Administrator/Developer
- Experience in container monitoring using Prometheus, Datadog etc.
- Experience with CI/CD tools and their usage
- Knowledge of scripting language e.g., shell scripting
RESPONSIBILITIES
First 2 months:
- Get an in-depth understanding of containers, Docker Engine and runtime, Swarm and Kubernetes.
- Get hands-on experience with various features of Mirantis Kubernetes Engine, and Mirantis Secure Registry
After 2 months:
- Work with Ashnik’s pre-sales and solution architects to deploy Mirantis Kubernetes Engine for customers
- Work with customer teams and provide them guidance on how Kubernetes Platform can be integrated with other tools in their environment (CI/CD, identity management, storage etc)
- Work with customers to containerize their applications.
- Write Dockerfile for customers during the implementation phase.
- Help customers design their network and security policy for effective management of applications deployed using Swarm and/or Kubernetes.
- Help customer design their deployments either with Swarm services or Kubernetes Deployments.
- Work with pre-sales and sales team to help customers during their evaluation of Mirantis Kubernetes platform
- Conduct workshops for customers as needed for technical hand-holding and technical handover.
Package: upto30 L
Office: Mumbai
- 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
This role requires a balance between hands-on infrastructure-as-code deployments as well as involvement in operational architecture and technology advocacy initiatives across the Numerator portfolio.
Responsibilities
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Technical Skills
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About Us
We have grown over 1400% in revenues in the last year.
Interface.ai provides an Intelligent Virtual Assistant (IVA) to FIs to automate calls and customer inquiries across multiple channels and engage their customers with financial insights and upsell/cross-sell.
Our IVA is transforming financial institutions’ call centers from a cost to a revenue center.
Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1.
We are 45 people strong with employees spread across India and US locations. Many of them come from ML teams at Apple, Microsoft, and Salesforce in the US along with enterprise architects with over 20+ years of experience building large-scale systems. Our India team consists of people from ISB, IIMs, and many who have been previously part of early-stage startups.
We are a fully remote team.
Founders come from Banking and Enterprise Technology backgrounds with previous experience scaling companies from scratch to $50M+ in revenues.
As a Site Reliability Engineer you will be in charge of:
- Designing, analyzing and troubleshooting large-scale distributed systems
- Engaging in cross-functional team discussions on design, deployment, operation, and maintenance, in a fast-moving, collaborative set up
- Building automation scripts to validate the stability, scalability, and reliability of interface.ai’s products & services as well as enhance interface.ai’s employees’ productivity
- Debugging and optimizing code and automating routine tasks
- Troubleshoot and diagnose issues (hardware or software), propose and implement solutions to ensure they occur with reduced frequency
- Perform the periodic on-call duty to handle security, availability, and reliability of interface.ai’s products
- You will follow and write good code and solid engineering practices
Requirements
You can be a great fit if you are :
- Extremely self motivated
- Ability to learn quickly
- Growth Mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322" target="_blank">link)
- Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766" target="_blank">link)
- Passionate about the possibilities at the intersection of AI + Banking
- Worked in a startup of 5 to 30 employees
- Developer with a strong interest in systems Design. You will be building, maintaining, and scaling our cloud infrastructure through software tooling and automation.
- 4-8 years of industry experience developing and troubleshooting large-scale infrastructure on the cloud
- Have a solid understanding of system availability, latency, and performance
- Strong programming skills in at least one major programming language and the ability to learn new languages as needed
- Strong System/network debugging skills
- Experience with management/automation tools such as Terraform/Puppet/Chef/SALT
- Experience with setting up production-level monitoring and telemetry
- Expertise in Container management & AWS
- Experience with kubernetes is a plus
- Experience building CI/CD pipelines
- Experience working with Web sockets, Redis, Postgres, Elastic search, Logstash
- Experience working in an agile team environment and proficient understanding of code versioning tools, such as Git.
- Ability to effectively articulate technical challenges and solutions.
- Proactive outlook for ways to make our systems more reliable
Who we are?
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?
- Best practices are overrated
- Implementing best practices can only make one n ‘average’ .
- Honesty and Transparency
- We believe in naked truth. We do what we tell and tell what we do.
- 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.
- Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
- Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
- 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.
- 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.
- Innovative: Innovate or Die. We love to challenge the status quo.
- Experimental: We encourage curiosity & making mistakes.
- Responsible: Driven. Self motivated. Self governing teams. We own it.
Are you the one? Quick self-discovery test:
- 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.
- 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.
- 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 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 practise 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
- Demonstrate knowledge of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability)
- Use your experience in 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.
- Define optimal design patterns and solutions for high availability and disaster recovery for applications
- Participate in technical reviews of requirements, designs, code and other artifacts Identify and keep abreast of new technical concepts in AWS
- Security, Risk and Compliance - Advise customers on best practices around access management, network setup, regulatory compliance and related areas
- Develop solutions architecture and evaluate architectural alternatives for private, public and hybrid cloud models, including IaaS, PaaS, and other cloud services
- Demonstrate leadership ability to back decisions with research and the “why,” and articulate several options, the pros and cons for each, and a recommendation • Maintain overall industry knowledge on latest trends, technology, etc. • • Contribute to DevOps development activities and complex development tasks
- Act as a Subject Matter Expert on cloud end-to-end architecture, including AWS and future providers, networking, provisioning, and management
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.
- 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!
- 6 - 10 years of experience with at least 5 - 6 years of hands-on experience in Cloud Computing
- (AWS/GCP/Azure) 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 AWS and lean development methodologies.
DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs. If you have a solid background in working with cloud technologies, set up efficient deployment processes, and are motivated to work with diverse and talented teams, we’d like to meet you.
Ultimately, you will execute and automate operational processes fast, accurately, and securely.
Skills and Experience
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4+ years of experience in building infrastructure experience with Cloud Providers ( AWS, Azure, GCP)
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Experience in deploying containerized applications build on NodeJS/PHP/Python to kubernetes cluster.
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Experience in monitoring production workload with relevant metrics and dashboards.
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Experience in writing automation scripts using Shell, Python, Terraform, etc.
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Experience in following security practices while setting up the infrastructure.
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Self-motivated, able, and willing to help where help is needed
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Able to build relationships, be culturally sensitive, have goal alignment, have learning agility
Roles and Responsibilities
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Manage various resources across different cloud providers. (Azure, AWS, and GCP)
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Monitor and optimize infrastructure cost.
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Manage various kubernetes clusters with appropriate monitoring and alerting setup.
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Build CI/CD pipelines to orchestrate provisioning and deployment of various services into kubernetes infrastructure.
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Work closely with the development team on upcoming features to determine the correct infrastructure and related tools.
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Assist the support team with escalated customer issues.
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Develop, improve, and thoroughly document operational practices and procedures.
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Responsible for setting up good security practices across various clouds.

- Hands on experience in following is a must: Unix, Python and Shell Scripting.
- Hands on experience in creating infrastructure on cloud platform AWS is a must.
- Must have experience in industry standard CI/CD tools like Git/BitBucket, Jenkins, Maven, Artifactory and Chef.
- Must be good at these DevOps tools:
Version Control Tools: Git, CVS
Build Tools: Maven and Gradle
CI Tools: Jenkins
- Hands-on experience with Analytics tools, ELK stack.
- Knowledge of Java will be an advantage.
- Experience designing and implementing an effective and efficient CI/CD flow that gets code from dev to prod with high quality and minimal manual effort.
- Ability to help debug and optimise code and automate routine tasks.
- Should be extremely good in communication
- Experience in dealing with difficult situations and making decisions with a sense of urgency.
- Experience in Agile and Jira will be an add on


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

