This role is for Work from the office.
Job Description
Roles & Responsibilities
- Work across the entire landscape that spans network, compute, storage, databases, applications, and business domain
- Use the Big Data and AI-driven features of vuSmartMaps to provide solutions that will enable customers to improve the end-user experience for their applications
- Create detailed designs, solutions and validate with internal engineering and customer teams, and establish a good network of relationships with customers and experts
- Understand the application architecture and transaction-level workflow to identify touchpoints and metrics to be monitored and analyzed
- Analytics and analysis of data and provide insights and recommendations
- Constantly stay ahead in communicating with customers. Manage planning and execution of platform implementation at customer sites.
- Work with the product team in developing new features, identifying solution gaps, etc.
- Interest and aptitude in learning new technologies - Big Data, no SQL databases, Elastic Search, Mongo DB, DevOps.
Skills & Experience
- At least 2+ years of experience in IT Infrastructure Management
- Experience in working with large-scale IT infra, including applications, databases, and networks.
- Experience in working with monitoring tools, automation tools
- Hands-on experience in Linux and scripting.
- Knowledge/Experience in the following technologies will be an added plus: ElasticSearch, Kafka, Docker Containers, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, web services, and JMX.

About VuNet Systems
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Job Description
Mandatory Requirements
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Experience in AWS Glue
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Experience in Apache Parquet
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Proficient in AWS S3 and data lake
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Knowledge of Snowflake
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Understanding of file-based ingestion best practices.
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Scripting language - Python & pyspark
CORE RESPONSIBILITIES
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Create and manage cloud resources in AWS
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Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
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Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
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Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
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Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
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Define process improvement opportunities to optimize data collection, insights and displays.
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Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
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Identify and interpret trends and patterns from complex data sets
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Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
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Key participant in regular Scrum ceremonies with the agile teams
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Proficient at developing queries, writing reports and presenting findings
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Mentor junior members and bring best industry practices.
QUALIFICATIONS
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5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
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Strong background in math, statistics, computer science, data science or related discipline
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Advanced knowledge one of language: Java, Scala, Python, C#
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Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
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Proficient with
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Data mining/programming tools (e.g. SAS, SQL, R, Python)
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Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
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Data visualization (e.g. Tableau, Looker, MicroStrategy)
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Comfortable learning about and deploying new technologies and tools.
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Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
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Good written and oral communication skills and ability to present results to non-technical audiences
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Knowledge of business intelligence and analytical tools, technologies and techniques.
Familiarity and experience in the following is a plus:
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AWS certification
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Spark Streaming
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Kafka Streaming / Kafka Connect
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ELK Stack
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Cassandra / MongoDB
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CI/CD: Jenkins, GitLab, Jira, Confluence other related tools


About us:
Arista Networks was founded to pioneer and deliver software driven cloud networking solutions for large datacenter storage and computing environments. Arista's award-winning platforms, ranging in Ethernet speeds from 10 to 400 gigabits per second, redefine scalability, agility and resilience. Arista has shipped more than 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Committed to open standards, Arista is a founding member of the 25/50GbE consortium. Arista Networks products are available worldwide directly and through partners.
About this role:
- You will be working with the WiFi team at Arista, developing cutting edge and next generation WiFi solutions in a fast-paced environment. The WiFi team is responsible for the end to end development of the Cloud managed WiFi product portfolio of Arista. This specific position is for the WiFi AccessPoint team.
- As a core member of the AccessPoint team, you will be working closely with relevant teams to understand product requirements, design the solution, build the software and deliver it for final validation and customer deployment.
- You will also keep track of new and emerging technologies and their impact on Arista products, come up with new and innovative ideas to improve and differentiate the product and help Arista become a leading player in the Campus space.
- You will work closely with sales and support teams to push new solutions, understand customer needs and pain points and help resolve escalations.
- You will not be limited to a single aspect of the product, it will be broad encompassing many different aspects including but not limited to developing new Access Points, designing and implementing new features, tracking new technologies and working closely with the sales and customer teams.
Requirements:
• Strong engineering and Computer Science fundamentals
• Expected to have a strong background in software development and good understanding of systems and networking areas with the knowledge of the WiFi area as an added bonus.
• Minimum 4+ years of relevant experience
• Well versed with programming in one of C/C++ languages
• Experience working in a Linux environment, developing applications or Linux drivers
• Proven experience in any of the below:
- Network device drivers, operating system internals, Kernels, compilers, SOC architecture
- Experience in developing Wi-Fi features (802.11), WLAN MAC Protocol, system integration, evaluate various performance parameters.
- User space development for connectivity related products (Wireless Lan access points/ controllers, networking equipment) in one or more of following areas:
• HostAPD, Portal, RADIUS, AAA, Identity and role management, Radsec
• Tunnels, Firewall, Iptables, Flow Classification, QoS, TLS, DTLS Preferred Skills
• Experience with Wi-Fi device drivers on Linux.
• Hands-on experience in working with one or more WIFI chipset platforms
• Good System Level understanding of the Wireless AP functionality
• Experience in developing Wi-Fi features, system integration, evaluate various performance parameters
Resources:
- Arista Cognitive WiFi : https://www.arista.com/en/products/cognitive-wifi https://youtu.be/cT1INdR-xHQ https://www.youtube.com/watch?v=olPkCOT3MdA
- Arista Cognitive WiFi Datasheet: https://www.arista.com/assets/data/pdf/Datasheets/CloudVision-Wifi-Datasheet.pdf
- Arista's Approach to Software with Ken Duda (CTO): https://youtu.be/TU8yNh5JCyw
- Additional information and resources can be found at https://www.arista.com/en/

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Job description
Responsibilities:
Designing and developing user interfaces using C++.
Adapting interface for modern internet/web applications using the latest C/C++.
Having experinced in Linux.
Making complex technical and design decisions for C/C++ projects.
Development using C/C++ latest versions & Linux.
Participate in development from concept to execution to launch and ensure the application fully serves the needs of the end-user
Work with the team to gain an initial understanding of the desired solution, and iteratively
Develop documentation, provide technical assistance and support as required
Technical Key Skills:
A strong fundamental knowledge of C/C++ development
Extensive knowledge in Linux.
Thorough orientation towards Code reviews, Coding standards, Design Standards, and Code Documentation
Knowledge in design patterns
Should have worked on enterprise-class applications
Excellent team player and strong interpersonal communication skills.


- Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/high-throughput production trading environment, which collects data from and disseminates orders to exchanges around the world
- Optimizing this platform by using network and systems programming, as well as other advanced techniques
- Developing systems that provide easy access to historical market data and trading simulations
- Building risk-management and performance-tracking tools
- Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips
- Implementing domain-optimized data structures
- Learn and internalize the theories behind current trading system
- Participate in the design, architecture and implementation of automated trading systems
- Take ownership of system from design through implementation


Software Developer (B.Tech, Linux+CPP+ROS)
Job Description:
- Design, implement and deliver custom solutions using the current robotics framework.
- Bug fixing and improving of current application framework.
- Design and implement tools to facilitate application development and testing.
- Work with team members in deployment and field testing.
Requirements:
- Bachelor Degree / Masters in Engineering (ECE and CSE preferred)
- Work experience of 3 to 10 years in software programming.
- Full understanding of software engineering.
- Proficiency in C/C++ and Python programming for Linux based systems.
- Basic Knowledge of Robot Operating System(ROS) is mandatory.
- Good understanding of the algorithms and control loops.
- Able to use tools to manage source code, preferably Git / GitHub.
- Knowledge of video streaming from edge devices is a plus.
Perks and Benefits for the employees
- Paid Leaves (12CL+12SL+12 public holidays )
- career development
- Health insurance
- Work life balance
- Employee recognition and reward programs
- Flexible work hours
- Five working days.
- Remote job for now
- Good experience in teamwork
- Should be work in agile methodology
- Everyday task update to team leader
- Master into research and development task for some major function
- Developer should have to be updated with latest technology
Technical
- Understanding of Application life cycle
- Knowledge of Programming language Dart
- Knowledge of Native Programming language Kotlin/Java and Swift/Objective-C
- knowledge and experience of Flutter and Dart SDK
- knowledge of Bloc coding structure or any other professional coding structure
- knowledge and experience of project version control [Git]
- Networking library like http and dio
- Local storage library like floor or moor
- Crashlytics and Analytics using Firebase
- Firebase push notification or any other
- Familiar with Google APIs. [Google Maps, Mapbox]
- Knowledge of OOPs and Dart/Flutter coding standard
- Must have experience into android and ios performance and optimize technique
- Must have knowledge of latest operating system for Android and iOS


We are building a workspace for Marketing teams - Think Webflow for Marketing teams, Grafana for Marketing teams who operate on large data sets and need a clear intuitive interface to look at all their data.
Traditionally Marketing teams have always had to depend on a large BI team to provide them with the data they need to make decisions. Clarisights eliminates this by giving Marketing teams everything they need in one intuitive, collaborative reporting platform.
We work with large enterprise Marketing teams around the world like Delivery Hero - The world's largest food delivery co., HelloFresh the world's largest mealkits delivery co. etc.
Our platform is central to how business teams make decisions and you will work on the interface that these teams use. We are helping non technical business users get comfortable with data by giving them a platform they can use to drive.
What makes this role challenging? Think Google Docs, Slides and Sheets all combined in one platform. We have a collaborative text editor which is used by teams together and we built our table grid which is extremely powerful. Tables, being one of the heaviest and most used widgets we have, have records composed of metric data(averages, share percentages, comparison data), multiple creatives(images, videos, gifs), trends(charts inside each cell) and a lot more.
The huge amount of data points naturally increases the amount of DOM nodes and thus it becomes memory heavy and CPU intensive to run the app in the browser. One table can have 500 records that the users can scroll through at once. Now imagine having 10+ of such tables in one tab, and each report comprising of multiple tabs. And we also support features like drilldowns/breakdowns, column freezing, row freezing, in the tables all while ensuring a smooth user experience.
We decided to build it from scratch using React Virtualize since most table libraries did not give us the performance or features we need. We also extensively use charts to visualize data and as we are scaling, a lot of these components have to be rebuilt to handle the volume of data we process.
We are only getting started, we want to make our platform a lot more collaborative and immersive by giving teams ability to interact with charts by adding annotations and ability to tag team members and leave notes for them. This might seem a solved problem when you look at collaboration on Google Docs but it's an extremely tricky problem for us as we don't deal with static data the way you have it with Google Docs.
Unlike read only dashboards which do not allow edits after building, our platform is meant for collaboration within teams. Think of how shitty collaboration was for design teams before Figma.
What we are looking for?
We are looking for someone who obsesses over performance and is comfortable with profiling performance, can think of frontend architecture. We are also looking for a lead who can mentor the team on performance and scale.
While working with such complex interfaces, often times, performance and the tech becomes a bottleneck for the user experience we strive for. We are looking for someone who —
- Understands fundamentals of Application Design and has designed/architected applications from scratch.
- Has worked on large-scale applications, and setup/maintained its data pipelines (data flows from backend to frontend)
- Has architected efficient and reusable front-end systems that drive complex web applications
Preferable Qualifications
- 3+ years of JavaScript experience, including concepts like asynchronous programming, closures, types.
- HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibility
- Experience with browser APIs and optimizing frontend performance
- Previous experience with dashboard apps, charts framework, window virtualisation
- Has written Generators for project setup
- Comfortable with tech like Postgres, Docker, Rails
- Understands tooling like Webpack, Babel
Experience with React and Typescript is preferable but not necessary.
First 30 days, one will work on
- Understanding the data flow and familiarise oneself with the app components
- One feature/task like updating something that touches majority of the app — this is again aimed to get familiarity with the whole codebase in the quickest way
- Synchronising the data pipelines by adopting better serialisation protocols
- Creating avenues to improve app performance (by profiling and benchmarking)



