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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DevOps & Automation:
- Experience in CI/CD tools like Azure DevOps, YAML, Git, and GitHub. Capable of automating build, test, and deployment processes to streamline application delivery.
- Hands-on experience with Infrastructure as Code (IaC) tools such as Bicep (preferred), Terraform, Ansible, and ARM Templates.
Cloud Services & Architecture:
- Experience in Azure Cloud services, including Web Apps, AKS, Application Gateway, APIM, and Logic Apps.
- Good understanding of cloud design patterns, security best practices, and cost optimization strategies.
Scripting & Automation:
- Experience in developing and maintaining automation scripts using PowerShell to manage, monitor, and support applications.
- Familiar with Azure CLI, REST APIs, and automating workflows using Azure DevOps Pipelines.
Data Integration & ADF:
- Working knowledge or basic hands-on experience with Azure Data Factory (ADF), focusing on developing and managing data pipelines and workflows.
- Knowledge of data integration practices, including ETL/ELT processes and data transformations.
Application Management & Monitoring:
- Ability to provide comprehensive support for both new and legacy applications.
- Proficient in managing and monitoring application performance using tools like Azure Monitor, Log Analytics, and Application Insights.
- Understanding of application security principles and best practices.
Database Skills:
- Basic experience of SQL and Azure SQL, including database backups, restores, and application data management.
What you will do
We are looking for an exceptional engineering lead to join our team. You will be responsible for building and owning the systems that would have critical impact for the business and the experience of our community from day one.
- Build and lead an agile engineering team
- Work closely with Founder on product development
- Collaborate with operations team to understand customer pain points and solve interesting problems
- Code, test, ship - manage the entire application cycle
- Build libraries and documentation for future references
- Research and develop best practices and tools to enable delivery of features
- Set up capabilities to track and report business and user metrics
- Design and improve architecture to ensure scalability
Requirements
- Proven experience at scaling tech companies, preferably in commerce or social network
- Keen to innovate, open-minded and collaborative
- Able to interpret product needs and suggest appropriate solutions
- Have led a team, also able to code hands-on
- Strong communication skills
- Strong work ethic: responsible, responsive, and detail-oriented.
Technologies we use
Go, Flutter, AWS, Google Cloud
Job Responsibilities:
Work & Deploy updates and fixes Provide Level 2 technical support Support implementation of fully automated CI/CD pipelines as per dev requirement Follow the escalation process through issue completion, including providing documentation after resolution Follow regular Operations procedures and complete all assigned tasks during the shift. Assist in root cause analysis of production issues and help write a report which includes details about the failure, the relevant log entries, and likely root cause Setup of CICD frameworks (Jenkins / Azure DevOps Server), Containerization using Docker, etc Implement continuous testing, Code Quality, Security using DevOps tooling Build a knowledge base by creating and updating documentation for support
Skills Required:
DevOps, Linux, AWS, Ansible, Jenkins, GIT, Terraform, CI, CD, Cloudformation, Typescript
Bito is a startup that is using AI (ChatGPT, OpenAI, etc) to create game-changing productivity experiences for software developers in their IDE and CLI. Already, over 100,000 developers are using Bito to increase their productivity by 31% and performing more than 1 million AI requests per week.
Our founders have previously started, built, and taken a company public (NASDAQ: PUBM), worth well over $1B. We are looking to take our learnings, learn a lot along with you, and do something more exciting this time. This journey will be incredibly rewarding, and is incredibly difficult!
We are building this company with a fully remote approach, with our main teams for time zone management in the US and in India. The founders happen to be in Silicon Valley and India.
We are hiring a DevOps Engineer to join our team.
Responsibilities:
- Collaborate with the development team to design, develop, and implement Java-based applications
- Perform analysis and provide recommendations for Cloud deployments and identify opportunities for efficiency and cost reduction
- Build and maintain clusters for various technologies such as Aerospike, Elasticsearch, RDS, Hadoop, etc
- Develop and maintain continuous integration (CI) and continuous delivery (CD) frameworks
- Provide architectural design and practical guidance to software development teams to improve resilience, efficiency, performance, and costs
- Evaluate and define/modify configuration management strategies and processes using Ansible
- Collaborate with DevOps engineers to coordinate work efforts and enhance team efficiency
- Take on leadership responsibilities to influence the direction, schedule, and prioritization of the automation effort
Requirements:
- Minimum 4+ years of relevant work experience in a DevOps role
- At least 3+ years of experience in designing and implementing infrastructure as code within the AWS/GCP/Azure ecosystem
- Expert knowledge of any cloud core services, big data managed services, Ansible, Docker, Terraform/CloudFormation, Amazon ECS/Kubernetes, Jenkins, and Nginx
- Expert proficiency in at least two scripting/programming languages such as Bash, Perl, Python, Go, Ruby, etc.
- Mastery in configuration automation tool sets such as Ansible, Chef, etc
- Proficiency with Jira, Confluence, and Git toolset
- Experience with automation tools for monitoring and alerts such as Nagios, Grafana, Graphite, Cloudwatch, New Relic, etc
- Proven ability to manage and prioritize multiple diverse projects simultaneously
What do we offer:
At Bito, we strive to create a supportive and rewarding work environment that enables our employees to thrive. Join a dynamic team at the forefront of generative AI technology.
· Work from anywhere
· Flexible work timings
· Competitive compensation, including stock options
· A chance to work in the exciting generative AI space
· Quarterly team offsite events
Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.
We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.
Position Summary-
This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.
Required experience
- 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
- Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
- Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
- Basic understanding of SQL
- Experience working with technologies like S3, Kubernetes experience preferred.
- Databricks/Hadoop/Kafka experience preferred but not required
We (the Software Engineer team) are looking for a motivated, experienced person with a data-driven approach to join our Distribution Team in Bangalore to help design, execute and improve our test sets and infrastructure for producing high-quality Hadoop software.
A Day in the life
You will be part of a team that makes sure our releases are predictable and deliver high value to the customer. This team is responsible for automating and maintaining our test harness, and making test results reliable and repeatable.
You will:
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work on making our distributed software stack more resilient to high-scale endurance runs and customer simulations
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provide valuable fixes to our product development teams to the issues you’ve found during exhaustive test runs
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work with product and field teams to make sure our customer simulations match the expectations and can provide valuable feedback to our customers
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work with amazing people - We are a fun & smart team, including many of the top luminaries in Hadoop and related open source communities. We frequently interact with the research community, collaborate with engineers at other top companies & host cutting edge researchers for tech talks.
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do innovative work - Cloudera pushes the frontier of big data & distributed computing, as our track record shows. We work on high-profile open source projects, interacting daily with engineers at other exciting companies, speaking at meet-ups, etc.
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be a part of a great culture - Transparent and open meritocracy. Everybody is always thinking of better ways to do things, and coming up with ideas that make a difference. We build our culture to be the best workplace in our careers.
You have:
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strong knowledge in at least 1 of the following languages: Java / Python / Scala / C++ / C#
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hands-on experience with at least 1 of the following configuration management tools: Ansible, Chef, Puppet, Salt
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confidence with Linux environments
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ability to identify critical weak spots in distributed software systems
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experience in developing automated test cases and test plans
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ability to deal with distributed systems
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solid interpersonal skills conducive to a distributed environment
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ability to work independently on multiple tasks
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self-driven & motivated, with a strong work ethic and a passion for problem solving
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innovate and automate and break the code
The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you to apply! An adventure in data awaits.
- 3+ years experience leading a team of DevOps engineers
- 8+ years experience managing DevOps for large engineering teams developing cloud-native software
- Strong in networking concepts
- In-depth knowledge of AWS and cloud architectures/services.
- Experience within the container and container orchestration space (Docker, Kubernetes)
- Passion for CI/CD pipeline using tools such as Jenkins etc.
- Familiarity with config management tools like Ansible Terraform etc
- Proven record of measuring and improving DevOps metrics
- Familiarity with observability tools and experience setting them up
- Passion for building tools and productizing services that empower development teams.
- Excellent knowledge of Linux command-line tools and ability to write bash scripts.
- Strong in Unix / Linux administration and management,
KEY ROLES/RESPONSIBILITIES:
- Own and manage the entire cloud infrastructure
- Create the entire CI/CD pipeline to build and release
- Explore new technologies and tools and recommend those that best fit the team and organization
- Own and manage the site reliability
- Strong decision-making skills and metric-driven approach
- Mentor and coach other team members
- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
- Strong knowledge of working with DevOps design patterns, processes and best practices
- Hand-on experience in Setting up Build pipelines.
- Prior working experience in system administration or architecture in Windows or Linux.
- Must have experience in GIT (BitBucket, GitHub, GitLab)
- Hands-on experience on Jenkins pipeline scripting.
- Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
- Good to have experience in migrating code repositories from one source control to another.
- Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
- Must have good communication skills and problem solving skills
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