MongoDB
Docker
Amazon Web Services (AWS)● Responsible for development, and implementation of Cloud solutions.
● Responsible for achieving automation & orchestration of tools(Puppet/Chef)
● Monitoring the product's security & health(Datadog/Newrelic)
● Managing and Maintaining databases(Mongo & Postgres)
● Automating Infrastructure using AWS services like CloudFormation
● Provide evidences in Infrastructure Security Audits
● Migrating to Container technologies (Docker/Kubernetes)
● Should have knowledge on serverless concepts (AWS Lambda)
● Should be able to work with AWS services like EC2, S3, Cloud-formation, EKS, IAM, RDS, ..etc
What you bring:
● Problem-solving skills that enable you to identify the best solutions.
● Team collaboration and flexibility at work.
● Strong verbal and written communication skills that will help in presenting complex ideas
in an accessible and engaging way.
● Ability to choose the best tools and technologies which best fits the business needs.
Aviso offers:
● Dynamic, diverse, inclusive startup environment driven by transparency and velocity
● Bright, open, sunny working environment and collaborative office space
● Convenient office locations in Redwood City, Hyderabad and Bangalore tech hubs
● Competitive salaries and company equity, and a focus on developing world class talent operations
● Comprehensive health insurance available (medical) for you and your family
● Unlimited leaves with manager approval and a 3 month paid sabbatical after 3 years of service
● CEO moonshots projects with cash awards every quarter
● Upskilling and learning support including via paid conferences, online courses, and certifications
● Every month Rupees 2,500 will be credited to Sudexo meal card
Shubham Vishwakarma
Full Stack Developer - Averlon
About Aviso Inc
About
About Aviso:
Aviso is the AI Compass that guides Sales and Go-to-Market teams to close more deals, accelerate revenue growth, and find their True North. Aviso delivers true revenue intelligence, nudges team-wide actions, and gives precise guidance so sellers and teams don’t get lost in the fog of CRM, scattered data lakes, and human biases.
We are a global company with offices in Redwood City, San Francisco, Hyderabad, and Bangalore. Our customers are innovative leaders in their market. We are proud to count Dell, Honeywell, MongoDB, Glassdoor, Splunk, FireEye, and RingCentral as our customers, helping them drive revenue, achieve goals faster, and win in bold new frontiers.
Aviso is backed by Storm Ventures, Shasta Ventures, Scale Venture Partners and leading Silicon Valley technology investors.
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KubernetesJob Title: DevOps Engineer
Job Description: We are seeking an experienced DevOps Engineer to support our Laravel, JavaScript (Node.js, React, Next.js), and Python development teams. The role involves building and maintaining scalable CI/CD pipelines, automating deployments, and managing cloud infrastructure to ensure seamless delivery across multiple environments.
Responsibilities:
Design, implement, and maintain CI/CD pipelines for Laravel, Node.js, and Python projects.
Automate application deployment and environment provisioning using AWS and containerization tools.
Manage and optimize AWS infrastructure (EC2, ECS, RDS, S3, CloudWatch, IAM, Lambda).
Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation. Manage configuration automation using Ansible.
Build and manage containerized environments using Docker (Kubernetes is a plus).
Monitor infrastructure and application performance using CloudWatch, Prometheus, or Grafana.
Ensure system security, data integrity, and high availability across environments.
Collaborate with development teams to streamline builds, testing, and deployments.
Troubleshoot and resolve infrastructure and deployment-related issues.
Required Skills:
AWS (EC2, ECS, RDS, S3, IAM, Lambda)
CI/CD Tools: Jenkins, GitLab CI/CD, AWS CodePipeline, CodeBuild, CodeDeploy
Infrastructure as Code: Terraform or AWS CloudFormation Configuration Management: Ansible
Containers: Docker (Kubernetes preferred)
Scripting: Bash, Python
Version Control: Git, GitHub, GitLab
Web Servers: Apache, Nginx (preferred)
Databases: MySQL, MongoDB (preferred)
Qualifications:
3+ years of experience as a DevOps Engineer in a production environment.
Proven experience supporting Laravel, Node.js, and Python-based applications.
Strong understanding of CI/CD, containerization, and automation practices.
Experience with infrastructure monitoring, logging, and performance optimization.
Familiarity with agile and collaborative development processes.
Amazon Web Services (AWS)staging, QA, and development of cloud infrastructures running in 24×7 environments.
● Most of our deployments are in K8s, You will work with the team to run and manage multiple K8s
environments 24/7
● Implement and oversee all aspects of the cloud environment including provisioning, scale,
monitoring, and security.
● Nurture cloud computing expertise internally and externally to drive cloud adoption.
● Implement systems solutions, and processes needed to manage cloud cost, monitoring, scalability,
and redundancy.
● Ensure all cloud solutions adhere to security and compliance best practices.
● Collaborate with Enterprise Architecture, Data Platform, DevOps, and Integration Teams to ensure
cloud adoption follows standard best practices.
Responsibilities :
● Bachelor’s degree in Computer Science, Computer Engineering or Information Technology or
equivalent experience.
● Experience with Kubernetes on cloud and deployment technologies such as Helm is a major plus
● Expert level hands on experience with AWS (Azure and GCP experience are a big plus)
● 10 or more years of experience.
● Minimum of 5 years’ experience building and supporting cloud solutions
DockerKubernetesAmazon Web Services (AWS)What you’ll be doing at Novo:
● Systems thinking
● Creating best practices, templates, and automation for build, test, integration and
deployment pipelines on multiple projects
● Designing and developing tools for easily creating and managing dev/test infrastructure
and services in AWS cloud
● Providing expertise and guidance on CI/CD, Github, and other development tools via
containerization
● Monitoring and support systems in Dev, UAT and production environments
● Building mock services and production-like data sources for use in development and
testing
● Managing Github integrations, feature flag systems, code coverage tools, and other
development & monitoring tools tools
● Participating in support rotations to help troubleshoot to infrastructure issues
Stacks you eat everyday ( For Devops Engineer )
● Creating and working with containers, as well as using container orchestration tools
(Kubernetes / Docker)
● AWS: S3, EKS, EC2, RDS, Route53, VPC etc.
● Fair understanding of Linux
● Good knowledge of CI/CD : Jenkins / CircleCI / Github Actions
● Basic level of monitoring
● Support for Deployment along with various Web Servers and Linux environments , both
backend and frontend.
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
KubernetesDockerAmazon Web Services (AWS)Why LiftOff?
We at LiftOff specialize in product creation, for our main forte lies in helping Entrepreneurs realize their dream. We have helped businesses and entrepreneurs launch more than 70 plus products.
Many on the team are serial entrepreneurs with a history of successful exits.
As a Devops Engineer, you will work directly with our founders and alongside our engineers on a variety of software projects covering various languages, frameworks, and application architectures.
Must Have
*Work experience of at least 2 years with Kubernetes.
*Hands-on experience working with Kubernetes. Preferably on Azure Cloud.
*Well-versed with Kubectl
*Experience in using Azure Monitor, setting up analytics and reports for Azure containers and services.
*Monitoring and observability
*Setting Alerts and auto-scaling
Nice to have
*Scripting and automation
*Experience with Jenkins or any sort of CI/CD pipelines
*Past experience in setting up cloud infrastructure, configurations and database backups
*Experience with Azure App Service
*Experience of setting up web socket-based applications.
*Working knowledge of Azure APIM
We are a group of passionate people driven by core values. We strive to make every process transparent and have flexible work timings along with excellent startup culture and vibe.
Kubernetes
JenkinsAmazon Web Services (AWS)● Manage AWS services and day to day cloud operations.
● Work closely with the development and QA team to make the deployment process
smooth and devise new tools and technologies in order to achieve automation of most
of the components.
● Strengthen the infrastructure in terms of Reliability (configuring HA etc.), Security (cloud
network management, VPC, etc.) and Scalability (configuring clusters, load balancers,
etc.)
● Expert level understanding of DB replication, Sharding (mySQL DB Systems), HA
clusters, Failovers and recovery mechanisms.
● Build and maintain CI-CD (continuous integration/deployment) workflows.
● Having an expert knowledge on AWS EC2, S3, RDS, Cloudfront and other AWS offered
services and products.
● Installation and management of software systems in order to support the development
team e.g. DB installation and administration, web servers, caching and other such
systems.
Requirements:
● B. Tech or Bachelor's in a related field.
● 2-5 years of hands-on experience with AWS cloud services such as EC2, ECS,
Cloudwatch, SQS, S3, CloudFront, route53.
● Experience with setting up CI-CD pipelines and successfully running large scale
systems.
● Experience with source control systems (SVN, GIT etc), Deployment and build
automation tools like Jenkins, Bamboo, Ansible etc.
● Good experience and understanding of Linux/Unix based systems and hands-on
experience working with them with respect to networking, security, administration.
● Atleast 1-2 years of experience with shell/python/perl scripting; having experience with
Bash scripting is an added advantage.
● Experience with automation tasks like, automated backups, configuring fail overs,
automating deployment related process is a must have.
● Good to have knowledge of setting up the ELK stack; Infrastructure as a code services
like Terraform; working and automating processes with AWS SDK/CLI tools with scripts
JenkinsDockerKubernetes- Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
- Administer a hybrid datacenter, including AWS and EC2 cloud assets
- Administer, automate and troubleshoot container based solutions deployed on AWS ECS
- Be able to troubleshoot problems and provide feedback to engineering on issues
- Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
- Learn and administer technologies such as ELK, Hadoop etc.
- A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.
Need to have
- Hands-on Experience in Cloud based DevOps
- Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
- Experience with any programming language.
- Experience using Ansible, Docker, Jenkins, Kubernetes
- Experience in Python.
- Should be very comfortable working in Linux/Unix environment.
- Exposure to Shell Scripting.
- Solid troubleshooting skills
Amazon Web Services (AWS)Kubernetes
Git- Preferred experience in development associated with Kafka or big data technologies understand essential Kafka components like Zookeeper, Brokers, and optimization of Kafka clients applications (Producers & Consumers). -
Experience with Automation of Infrastructure, Testing , DB Deployment Automation, Logging/Monitoring/alerting
- AWS services experience on CloudFormation, ECS, Elastic Container Registry, Pipelines, Cloudwatch, Glue, and other related services.
- AWS Elastic Kubernetes Services (EKS) - Kubernetes and containers managing and auto-scaling -
Good knowledge and hands-on experiences with various AWS services like EC2, RDS, EKS, S3, Lambda, API, Cloudwatch, etc.
- Good and quick with log analysis to perform Root Cause Analysis (RCA) on production deployments and container errors on cloud watch.
Working on ways to automate and improve deployment and release processes.
- High understanding of the Serverless architecture concept. - Good with Deployment automation tools and Investigating to resolve technical issues.
technical issues. - Sound knowledge of APIs, databases, and container-based ETL jobs.
- Planning out projects and being involved in project management decisions. Soft Skills
- Adaptability
- Collaboration with different teams
- Good communication skills
- Team player attitude
DockerKubernetesAmazon Web Services (AWS)Implementing various development, testing, automation tools, and IT infrastructure
Planning the team structure, activities, and involvement in project management activities.
Managing stakeholders and external interfaces
Setting up tools and required infrastructure
Defining and setting development, test, release, update, and support processes for DevOps operation
Have the technical skill to review, verify, and validate the software code developed in the project.
Troubleshooting techniques and fixing the code bugs
Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
Encouraging and building automated processes wherever possible
Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
Incidence management and root cause analysis
Coordination and communication within the team and with customers
Selecting and deploying appropriate CI/CD tools
Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
Mentoring and guiding the team members
Monitoring and measuring customer experience and KPIs
Managing periodic reporting on the progress to the management and the customer
DockerKubernetesAmazon Web Services (AWS)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
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon