Primary Skills – SDA, DNAC, Cisco ISE, Routing and switching and Troubleshooting NAC, 802.1x, Supplicant configuration,
Switching Skills- IOS upgrade, SNMP, VLAN, STP, VSL
Routing Skills-OSPF, BGP, ISIS
Network Monitoring Tools- Cisco Prime (Integration, monitoring, and troubleshooting)
- Must have hands on experience in Implementing NAC,802.1x (Wired & Wireless)
- Strong knowledge on CAMPUS LAN Architecture and implementation
- Hands on experience in Routing, Switching, Cisco SDA, DNAC, Cisco ISE, Assurance
- Working experience in Cisco prime infra, Monitoring, Integration and Heat map generation
- Should have detailed technical understanding, troubleshooting of STP protocols (STP, PVST, RSTP, MSTP)
- Perform IOS upgrades on Switches and WLCs
- Troubleshoot skills on Quality of Service, Multicast and HSRP, Dot1x protocols, IPSLA
- Troubleshooting skills on Cisco VSS, VSL and stacking technologies
- Should have detailed technical understanding, troubleshooting and support of, Routing protocols (OSPF, BGP), MPLS in an enterprise environment.
- Perform root cause and troubleshoot network outages
- Should be proficient in Wireless technology, implementation, and troubleshooting
- Deliver reports on the actions performed.
- Hands-on experience with the networking products Like Cisco 6800, 9500,9400,9300, 3800, 2960x and 3650 switches. Juniper EX8200,EX4200,EX3300 and EX2200 switches
- Strong ability to troubleshoot complex network issues and Identify, diagnose, and resolve different types of network problems.
Secondary Skills –
- CCNP Certification
- Project Management: Managing individual network projects within the scope of the Network Team
- Excellent technical and business communication skills, both oral and written
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Job Description-
We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.
Job Title: Solution Architect ML, Cloud
Experience:5-10 years
Client Location: Bangalore
Work Location: Tokyo, Japan (Onsite)
We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.
Job Title: Solution Architect (ML, Cloud)
Location: Tokyo, Japan (Onsite)
Experience: 5-10 years
Overview: We are looking for a skilled Solution Architect with expertise in Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes to join our team in Tokyo. The ideal candidate will be responsible for designing and implementing cutting-edge, scalable solutions while leveraging the latest technologies and best practices to meet business objectives.
Key Responsibilities:
Collaborate with stakeholders to understand business needs and develop scalable, efficient technical solutions.
Architect and implement complex systems integrating Machine Learning, Cloud platforms (AWS, Azure, Google Cloud), and Full Stack Development.
Lead the development and deployment of cloud-native applications using NoSQL databases, Python, and Kubernetes.
Design and optimize algorithms to improve performance, scalability, and reliability of solutions.
Review, validate, and refine architecture to ensure flexibility, scalability, and cost-efficiency.
Mentor development teams and ensure adherence to best practices for coding, testing, and deployment.
Contribute to the development of technical documentation and solution roadmaps.
Stay up-to-date with emerging technologies and continuously improve solution design processes.
Required Skills & Qualifications:
5-10 years of experience as a Solution Architect or similar role with expertise in ML, Cloud, and Full Stack Development.
Proficiency in at least two major cloud platforms (AWS, Azure, Google Cloud).
Solid experience with Kubernetes for container orchestration and deployment.
Hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
Expertise in Python and ML frameworks like TensorFlow, PyTorch, etc.
Practical experience implementing at least two real-world algorithms (e.g., classification, clustering, recommendation systems).
Strong knowledge of scalable architecture design and cloud-native application development.
Familiarity with CI/CD tools and DevOps practices.
Excellent problem-solving abilities and the ability to thrive in a fast-paced environment.
Strong communication and collaboration skills with cross-functional teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Preferred Qualifications:
Experience with microservices and containerization.
Knowledge of distributed systems and high-performance computing.
Cloud certifications (AWS Certified Solutions Architect, Google Cloud Professional Architect, etc.).
Familiarity with Agile methodologies and Scrum.
Japanese language proficiency is an added advantage (but not mandatory).
Skills : ML, Cloud (any two major clouds), algorithms (two algorithms must be implemented), full stack, kubernatics, no sql, Python
Responsibilities:
- Collaborate with stakeholders to understand business needs and translate them into scalable and efficient technical solutions.
- Design and implement complex systems involving Machine Learning, Cloud Computing (at least two major clouds such as AWS, Azure, or Google Cloud), and Full Stack Development.
- Lead the design, development, and deployment of cloud-native applications with a focus on NoSQL databases, Python, and Kubernetes.
- Implement algorithms and provide scalable solutions, with a focus on performance optimization and system reliability.
- Review, validate, and improve architectures to ensure high scalability, flexibility, and cost-efficiency in cloud environments.
- Guide and mentor development teams, ensuring best practices are followed in coding, testing, and deployment.
- Contribute to the development of technical documentation and roadmaps.
- Stay up-to-date with emerging technologies and propose enhancements to the solution design process.
Key Skills & Requirements:
- Proven experience 5-10 years) as a Solution Architect or similar role, with deep expertise in Machine Learning, Cloud Architecture, and Full Stack Development.
- Expertise in at least two major cloud platforms (AWS, Azure, Google Cloud).
- Solid experience with Kubernetes for container orchestration and deployment.
- Strong hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).
- Proficiency in Python, including experience with ML frameworks (such as TensorFlow, PyTorch, etc.) and libraries for algorithm development.
- Must have implemented at least two algorithms (e.g., classification, clustering, recommendation systems, etc.) in real-world applications.
- Strong experience in designing scalable architectures and applications from the ground up.
- Experience with DevOps and automation tools for CI/CD pipelines.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills and ability to collaborate with cross-functional teams.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Preferred Skills:
- Experience with microservices architecture and containerization.
- Knowledge of distributed systems and high-performance computing.
- Certifications in cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).
- Familiarity with Agile methodologies and Scrum.
- Knowing Japanese Language is an additional advantage for the Candidate. Not mandatory.
Frontend Web Developer Responsibilities
- UI Development: Develop interactive and responsive web applications using React.
- API Integration: Integrate with RESTful APIs to fetch and display data dynamically.
- AI/ML Integration: Collaborate with AI/ML engineers to integrate AI models into the frontend, providing real-time insights and enhancing data-driven features.
- Dashboard Creation: Design and implement dashboards that provide comprehensive overviews of data, powered by AI/ML insights.
- Graph Integration: Utilize libraries like D3.js, Chart.js, Plotly or Recharts to create interactive and visually appealing graphs and charts.
- Data Comparison: Implement features to compare data across different time periods and datasets.
- User Interaction: Implement AI-driven user interaction features such as chatbots, virtual assistants, and recommendation systems.
- State Management: Implement state management solutions using Redux and Context API.
- Collaboration: Work closely with backend developers to ensure seamless API integration and data flow.
- Performance Optimization: Optimize application performance and ensure cross-browser compatibility.
- User Testing: Conduct user testing and gather feedback to improve UI/UX.
- Code Quality: Write clean, maintainable, and efficient code, participate in code reviews, and provide feedback to peers.
- Documentation: Maintain comprehensive documentation for the frontend codebase and components.
- Industry Trends: Stay up-to-date with the latest industry trends and technologies to ensure the application remains current and competitive
You will be responsible for:
- Managing all DevOps and infrastructure for Sizzle
- We have both cloud and on-premise servers
- Work closely with all AI and backend engineers on processing requirements and managing both development and production requirements
- Optimize the pipeline to ensure ultra fast processing
- Work closely with management team on infrastructure upgrades
You should have the following qualities:
- 3+ years of experience in DevOps, and CI/CD
- Deep experience in: Gitlab, Gitops, Ansible, Docker, Grafana, Prometheus
- Strong background in Linux system administration
- Deep expertise with AI/ML pipeline processing, especially with GPU processing. This doesn’t need to include model training, data gathering, etc. We’re looking more for experience on model deployment, and inferencing tasks at scale
- Deep expertise in Python including multiprocessing / multithreaded applications
- Performance profiling including memory, CPU, GPU profiling
- Error handling and building robust scripts that will be expected to run for weeks to months at a time
- Deploying to production servers and monitoring and maintaining the scripts
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Expertise in Docker-based virtualization including - creating & maintaining custom Docker images, deployment of Docker images on cloud and on-premise services, monitoring of production Docker images with robust error handling
- Expertise in AWS infrastructure, networking, availability
Optional but beneficial to have:
- Experience with running Nvidia GPU / CUDA-based tasks
- Experience with image processing in python (e.g. openCV, Pillow, etc)
- Experience with PostgreSQL and MongoDB (Or SQL familiarity)
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Bachelors or Masters degree in computer science or related field
- Ideally a gamer or someone interested in watching gaming content online
Skills:
DevOps, Ansible, CI/CD, GitLab, GitOps, Docker, Python, AWS, GCP, Grafana, Prometheus, python, sqlalchemy, Linux / Ubuntu system administration
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 3 years to 6 years
Key Skills Required:
· You will be part of the DevOps engineering team, configuring project environments, troubleshooting integration issues in different systems also be involved in building new features for next generation of cloud recovery services and managed services.
· You will directly guide the technical strategy for our clients and build out a new capability within the company for DevOps to improve our business relevance for customers.
· You will be coordinating with Cloud and Data team for their requirements and verify the configurations required for each production server and come with Scalable solutions.
· You will be responsible to review infrastructure and configuration of micro services and packaging and deployment of application
To be the right fit, you'll need:
· Expert in Cloud Services like AWS.
· Experience in Terraform Scripting.
· Experience in container technology like Docker and orchestration like Kubernetes.
· Good knowledge of frameworks such as Jenkins, CI/CD pipeline, Bamboo Etc.
· Experience with various version control system like GIT, build tools (Mavan, ANT, Gradle ) and cloud automation tools (Chef, Puppet, Ansible)
Job Description
• Minimum 3+ yrs of Experience in DevOps with AWS Platform
• Strong AWS knowledge and experience
• Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
• Experience with IAC tools Terraform
• Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
• Significant experience with Linux operating system environments
• Experience with infrastructure scripting solutions such as Python/Shell scripting
• Must have experience in designing Infrastructure automation framework.
• Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
• Excellent problem-solving, Log Analysis and troubleshooting skills
• Experience in setting up centralized logging for system (EKS, EC2) and application
• Process-oriented with great documentation skills
• Ability to work effectively within a team and with minimal supervision
- 3 - 6 years of software development, and operations experience deploying and maintaining multi-tiered infrastructure and applications at scale.
- Design cloud infrastructure that is secure, scalable, and highly available on AWS
- Experience managing any distributed NoSQL system (Kafka/Cassandra/etc.)
- Experience with Containers, Microservices, deployment and service orchestration using Kubernetes, EKS (preferred), AKS or GKE.
- Strong scripting language knowledge, such as Python, Shell
- Experience and a deep understanding of Kubernetes.
- Experience in Continuous Integration and Delivery.
- Work collaboratively with software engineers to define infrastructure and deployment requirements
- Provision, configure and maintain AWS cloud infrastructure
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux-based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
- Perform infrastructure cost analysis and optimization
- AWS
- Docker
- Kubernetes
- Envoy
- Istio
- Jenkins
- Cloud Security & SIEM stacks
- Terraform
MLOps Engineer
Required Candidate profile :
- 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
- Candidate with strong Azure expertise
- Exposure of Productionize the models
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
- Proficient knowledge of git, Docker and containers, Kubernetes
- Familiarity with Terraform
- E2E production experience with Azure ML, Azure ML Pipelines
- Experience in Azure ML extension for Azure Devops
- Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
- Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
- Candidate with strong Azure expertise
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
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
- You have a Bachelor's degree in computer science or equivalent
- You have at least 7 years of DevOps experience.
- You have deep understanding of AWS and cloud architectures/services.
- You have expertise within the container and container orchestration space (Docker, Kubernetes, etc.).
- You have experience working with infrastructure provisioning tools like CloudFormation, Terraform, Chef, Puppet, or others.
- You have experience enabling CI/CD pipelines using tools such as Jenkins, AWS Code Pipeline, Gitlab, or others.
- You bring a deep understanding and application of computer science fundamentals: data structures, algorithms, and design patterns.
- You have a track record of delivering successful solutions and collaborating with others.
- You take security into account when building new systems.