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
About Interfaceai
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Key Responsibilities:
● Set up a production-grade Apache Kafka in Kubernetes with Jenkins integration.
● Design a Jenkins-based CI/CD pipeline for multiple components, including Kafka Connect.
● Implement Horizontal Pod Autoscaler (HPA) for our 30-40 micro components.
● Configure comprehensive logging and monitoring, setting up Grafana dashboards with
Prometheus integration.
Key Requirements:
Must-Have Skills:
● Deep expertise in Git, Jenkins, Kubernetes, Helm, Docker, Kafka, Kafka Connect, Maven, Java,
Prometheus, Grafana, EKS/AKS, Load Balancer, and Ingress.
● Experience working with AWS and Azure cloud environments.
● 5+ years of relevant work experience.
Nice to Have:
● Familiarity with managing On-prem Kubernetes is a plus.
● Familiarity with Secret Manager, NodeJs, Python, Confluent Kafka, MongoDB, ElasticSearch,
FluentBit, FluentD, Aerospike, HBase, and MySQL.
● If you’re passionate about orchestrating large-scale system migrations and love to stay on the
bleeding edge of technology, then you’re just the professional we’re looking for.
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
Bachelor's degree in Computer Science or a related field, or equivalent work experience
Strong understanding of cloud infrastructure and services, such as AWS, Azure, or Google Cloud Platform
Experience with infrastructure as code tools such as Terraform or CloudFormation
Proficiency in scripting languages such as Python, Bash, or PowerShell
Familiarity with DevOps methodologies and tools such as Git, Jenkins, or Ansible
Strong problem-solving and analytical skills
Excellent communication and collaboration skills
Ability to work independently and as part of a team
Willingness to learn new technologies and tools as required
Job Description :
Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.
Roles & responsibilities:
- Champion engineering and operational excellence.
- Establish a solid infrastructure framework and excellent development and deployment processes.
- Provide technical guidance to both your team members and your peers from the development team.
- Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
- Be part of and help create a positive work environment based on accountability.
- Communicate across functions and drive engineering initiatives.
- Initiate cross team collaboration with product development teams to develop high quality, polished products and services.
Must haves:
- 5+ years of professional experience developing, and launching software products on Cloud.
- Basic understanding Java/Go Programming
- Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
- Deep understanding of AWS or Any Cloud.
- Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
- Good Understanding of Operating systems
- Strong technical background with track record of individual technical accomplishments
- Ability to handle multiple competing priorities in a fast paced environment
- Ability to establish credibility with smart engineers quickly.
- Most importantly, ability to learn and urge to learn new things.
- B.Tech/M.Tech in Computer Science or a related technical field.
Good to Have:
- Hands-on knowledge of Configuration Management and Deployment tools like – Ansible, Terraform etc.
- Proficient in scripting, and Git and Git workflows
- Experience in developing Continuous Integration/ Continuous Delivery pipelines
- Knowledge of Big Data systems.
Roles & Responsibilities :
- Champion engineering and operational excellence.
- Establish a solid infrastructure framework and excellent development and deployment processes.
- Provide technical guidance to both your team members and your peers from the development team.
- Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
- Be part of and help create a positive work environment based on accountability.
- Communicate across functions and drive engineering initiatives.
- Initiate cross team collaboration with product development teams to develop high quality, polished products, and services.
Required Skills :
- 5+ years of professional experience developing and launching software products on Cloud.
- Basic understanding Java/Go Programming
- Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
- Deep understanding of AWS or Any Cloud.
- Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
- Good Understanding of Operating systems
- Strong technical background with track record of individual technical accomplishments
- Ability to handle multiple competing priorities in a fast-paced environment
- Ability to establish credibility with smart engineers quickly.
- Most importantly, ability to learn and urge to learn new things.
- B.Tech/M.Tech in Computer Science or a related technical field.
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Being involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Ensuring reliable operation of CI/ CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creating Docker files
- Creating Bash/ Python scripts for automation.
- Performing root cause analysis for production errors.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time.
SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations.
Day to day responsibilities include:
- Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
- Work on Linux/Unix OS and Multi tech application patching
- Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
- Create and modify scripts or applications to perform tasks
- Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
- Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it.
- Managing release of the sprint.
- Educating team of the best practices.
- Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
- Implementing cost effective measure on cloud and minimizing existing costs.
Skills and prerequisites
- OOPS knowledge
- Problem solving nature
- Willing to do the R&D
- Works with the team and support their queries patiently
- Bringing new things on the table - staying updated
- Pushing solution above a problem.
- Willing to learn and experiment
- Techie at heart
- Git basics
- Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
- Basic Linux handling
- Docker and orchestration (Great to have)
- Scripting – python (preferably)/bash
Location – Pune
Experience - 1.5 to 3 YR
Payroll: Direct with Client
Salary Range: 3 to 5 Lacs (depending on existing)
Role and Responsibility
• Good understanding and Experience on AWS CloudWatch for ES2, Amazon Web Services, and Resources, and other sources.
• Collect and Store logs
• Monitor and Store Logs
• Log Analyze
• Configure Alarm
• Configure Dashboard
• Preparation and following of SOP's, Documentation.
• Good understanding AWS in DevOps.
• Experience with AWS services ( EC2, ECS, CloudWatch, VPC, Networking )
• Experience with a variety of infrastructure, application, and log monitoring tools ~ Prometheus, Grafana,
• Familiarity with Docker, Linux, and Linux security
• Knowledge and experience with container-based architectures like Docker
• Experience on performing troubleshooting on AWS service.
• Experience in configuring services in AWS like EC2, S3, ECS
• Experience with Linux system administration and engineering skills on Cloud infrastructure
• Knowledge of Load Balancers, Firewalls, and network switching components
• Knowledge of Internet-based technologies - TCP/IP, DNS, HTTP, SMTP & Networking concepts
• Knowledge of security best practices
• Comfortable 24x7 supporting Production environments
• Strong communication skills
- Have 3+ years of experience in Python development
- Be familiar with common database access patterns
- Have experience with designing systems and monitoring metrics, looking at graphs.
- Have knowledge of AWS, Kubernetes and Docker.
- Be able to work well in a remote development environment.
- Be able to communicate in English at a native speaking and writing level.
- Be responsible to your fellow remote team members.
- Be highly communicative and go out of your way to contribute to the team and help others