Purple Hirez
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Python
Javascript
React.js
Angular (2+)
AngularJS (1.x)We are looking for a experienced engineer with superb technical skills. You will primarily be responsible for architecting and building large scale systems that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions. The successful candidate will be curious, creative, ambitious, self motivated, flexible, and have a bias towards taking action. As part of the early engineering team, you will have a chance to make a measurable impact as well as having a significant amount of responsibility.
Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.
Who you are:
- Bachelors/Masters/Phd in CS or equivalent industry experience
- Expert level knowledge in Python
- Expert level of Atleast one Web Framework such As Django, Flask, FastAPI. FastAPI Preferred.
- Understand and implement Microservices, Restful APIs, distributed systems using Cloud Native Principles
- Knowledge and Experience Integrating and Contributing to Open Source Projects and Frameworks.
- Repeated Experience Building Secure, Reliable, Scalable Platforms
- Experience With Data Control Patterns And ORM Libraries
- Implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools, such as Git
- Familiarity with continuous integration, Jenkins
What you will do:
- Co-Lead Design And Architecture of our core platform components that powers AI/ML Platform
- Integrate Data Storage Solutions Including RDBMS And Key-Value Stores
- Write Reusable, Testable, And Efficient Code
- Design And Implementation Of Low-Latency, High-Availability, Scalable and Asynchronous Applications
- Integration Of User-Facing Elements Developed By Front-End Developers With Server Side Logic
- Design Internal And Customer Facing API’s
- Support Enterprise Customers During Implementation And Launch Of Service
Experience:
- Python: 5 years (Required)
- FastAPI: 2 years (Preferred)
- REST: 5 years (Required)
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Science
Machine Learning (ML)
KubernetesBe a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.
On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.
Required Qualifications
- Bachelor's degree in computer science/electrical engineering or equivalent practical experience
- 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
- Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
- 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
- Experience with PyTorch or TensorFlow or other ML Frameworks.
- Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development
In this role you will:
- Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
- Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
- Own the ML pipeline from data collection, through the prototype development to production.
- Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack
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KubernetesPython- 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
- Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
- Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
- 5+ Industry experience in python
- Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
- Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
- Implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools, such as Git
- Familiarity with continuous integration, Jenkins
Responsibilities
- Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
- Create custom Operators for Kubernetes, Kubeflow
- Develop data ingestion processes and ETLs
- Assist in dev ops operations
- Design and Implement APIs
- Identify performance bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization, and documentation
- Communicate with stakeholders regarding various aspects of solution.
- Mentor team members on best practices
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
- Must possess a fair, clear understanding of fundamentals and concepts of Magento 1/2, PHP.
- Must have strong experience in Magento Extension development.
- Write well-engineered source code that complies with accepted web standards.
- Strong experience of Magento Best Practices, including experience developing custom extensions and extending third party extensions.
- Thorough functional and code level knowledge of all Magento products and all relevant commerce technologies
- Good experience on Caching & Performance improvement.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Kubernetes
Data AnalyticsPython- 3+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd and streaming databases like druid
- Strong industry expertise with containerization technologies including kubernetes, docker-compose
- 2+ years of industry in experience in developing scalable data ingestion processes and ETLs
- Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
- Experience with scripting languages. Python experience highly desirable.
- 2+ Industry experience in python
- Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
- Demonstrated expertise of building cloud native applications
- Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd
- Experience in API development using Swagger
- Strong expertise with containerization technologies including kubernetes, docker-compose
- Experience with cloud platform services such as AWS, Azure or GCP.
- Implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools, such as Git
- Familiarity with continuous integration, Jenkins
- Design and Implement Large scale data processing pipelines using Kafka, Fluentd and Druid
- Assist in dev ops operations
- Develop data ingestion processes and ETLs
- Design and Implement APIs
- Assist in dev ops operations
- Identify performance bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization, and documentation
- Communicate with stakeholders regarding various aspects of solution.
- Mentor team members on best practices
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data AnalyticsKubernetesPythonJob Description
We are looking for an experienced engineer with superb technical skills. Primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions.
Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.
Skills
- Bachelors/Masters/Phd in CS or equivalent industry experience
- Demonstrated expertise of building and shipping cloud native applications
- 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
- Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
- Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
- 5+ Industry experience in python
- Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
- Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
- Implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools, such as Git
- Familiarity with continuous integration, Jenkins
Responsibilities
- Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
- Create custom Operators for Kubernetes, Kubeflow
- Develop data ingestion processes and ETLs
- Assist in dev ops operations
- Design and Implement APIs
- Identify performance bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization, and documentation
- Communicate with stakeholders regarding various aspects of solution.
- Mentor team members on best practices
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Android Development
Flutter
Kotlin
JavaTechnical skills:
- Working experience in using the any of the design principles MVVM or MVP
- Experience in using Web Services and SQLite data base
- Experience in Multithreading concepts – Rx JAVA
- Experience in using version control systems like SVN, GIT Hub, Bitbucket etc
- Experience in using Dependency injection principles in android
- Experience in using design patterns
- Experience integration with 3rd party API’s like Facebook, gmail, retrofit, Picasso & 3rd party libraries
- Experience/Knowledge in using google Flutter
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- Deep knowledge and working experience in any of Adobe Marketo or Hybris Marketing or Emarsys platforms with end to end hands-on implementation and integration experience including integration tools
- Other platforms of interest include Adobe Campaign Emarsys Pardot Salesforce Marketing Cloud and Eloqua
- Hybris Marketing or Adobe Marketo Certification strongly preferred
- Experience in evaluating different marketing platforms (e.g. Salesforce SFMC versus Adobe Marketo versus Adobe Marketing)
- Experience in design and setup of Marketing Technology Architecture
- Proficient in scripting and experience with HTML XML CSS JavaScript etc.
- Experience with triggering campaigns via API calls
- Responsible for the detailed design of technical solutions POV on marketing solutions Proof-of-Concepts (POC) prototyping and documentation of the technical design
- Collaborate with Onshore team in tailoring solutions that meets business needs using agile/iterative development process
- Perform feasibility analysis for the marketing solution that meet the business goals
- Experience with client discovery workshops and technical solutions presentations
- Excellent communication skills required as this is a client business & IT interfacing role
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Spring Boot- Min 5 years of hands-on experience in Java Spring-boot technologies
- Experience with monolithic applications
- Experience using Redis and RabbitMQ
- Experience with RDBMS such as SQLServer and My SQL
- Strong analytical, problem solving and data analysis
- Excellent communication, presentation and interpersonal skills are a must
- Micro service frameworks such as Java SpringBoot
- Design and implement automated unit and integration tests
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
.NETAs a Senior Technical lead you will be a member of a software development team building innovative new features for the application. Lead the team as Senior Full Stack developer
Primary Job Responsibilities:
- Inherit a well-architected, clean, and robust codebase built with .NET Core 5.x, and JavaScript and Angular
- Evaluate and implement new libraries and components
- Ensure best practices are followed in the design and development of the application Contribute to and help manage our open-source libraries
- Strong knowledge of C# and .NET Core, JavaScript, Angular
- NoSQL databases (MongoDB)Real-time web applications (Web Sockets / SignalR)
- Containerization technologies (Docker, Kubernetes) Swagger /OpenAPI Initiative
- Strong knowledge of design patterns and practices
- Experience in non-Microsoft tech stacks as Node, Python, Angular and others are also crucial components of Source Control - GitHub Unit / Performance / Load Testing
- Experience with Continuous Integration - Jenkins/Travis/Circle/etc.
- Experience working in Agile Environments - JIRA/Slack
- Working knowledge of SAAS Architecture and Deployments - AWS/Google Cloud/etc.
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What is ‘searce’
Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.
The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.
What we do
Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics.
- We are a category defining niche’ cloud-native technology consulting company, specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work
- We partner with clients in their ‘beyond x’ journey to drive intelligent, impactful & futuristic business outcomes
- We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries
- Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services
- As one of the top 5 niche’ full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred ‘engineering-led’ tech company of choice when it comes to solving complex business problems.
Who we are
We are passionate improvers, solvers & futurists. Driven by our engineering excellence mindset, we care most about delivering intelligent, impactful & futuristic business outcomes. Searcians are motivated by continuous improvement & solving for better in everything we do.
At the core, a Searcian is self-driven to become better, everyday. In passionate pursuit of the finest degree of excellence we drive exceptional outcomes in everything we do.
We believe that trust is the most important value. We also believe that we need to ‘earn the trust’, everytime one engages with us. And earning trust for us is far more important than anything else. We aim to be the *most trusted* tech consulting partner for our clients.
We are HAPPIER at heart. Humble, Adaptable, Positive, Passionate, Innovative, Excellence focused, & Responsible. We live the HAPPIER Culture Code.
Being HAPPIER.
How we work
- Customers. Partners. Our aim is to build relationships with customers for life. And meaningfully improve the life of every customer.
- We do what we say. We say what we do. We are uncomfortably honest and transparent. Being genuine wins trust & makes people happier.
- Mistakes are encouraged. We make mistakes. Tons of those. Everyday. And we don’t mind apologizing to our juniors, peers or superiors. We are no ego-doers.
- Underpromise. Overdeliver. We work with a deep desire to go above and beyond in everything we do. Everytime.
So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’
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Who are we?
Trendlyne is a funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.
Our founders are IIT + IIM graduates, with strong tech and marketing experience. We have top finance and management experts on the Board of Directors.
What do we do?
We build best in class analytics in the US and Indian stock market space. Organic growth in B2B and B2C products have already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.
Visit us at trendlyne.com, or look for the Trendlyne mobile app on the Google Play Store:
https://play.google.com/store/apps/details?id=com.trendlyne.markets
We are a great place to work
We have a culture where you are building something awesome, and your work makes a difference. Full-time employees get paid leave, parental leave, medical insurance, and employee stock options.
We invest in your learning and check in with you to help you meet your career goals. We keep regular hours and don't work on weekends.
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About the company
About Pendo
Pendo is a leading product experience and software analytics platform that helps companies understand how users interact with their software and improve those experiences. It operates in the product analytics and digital adoption space, enabling organizations to combine analytics, in-app guidance, and user feedback in one unified platform.
Pendo – Key Highlights
- Founded in 2013, headquartered in Raleigh, North Carolina
- Serves 14,000+ companies globally
- Processes 20B+ daily events and supports 1B+ users
- 850+ employees across global offices
- Raised $350M+ total funding from investors like General Atlantic, Tiger Global, and Sapphire Ventures
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At its core, Chisel functions as an AI PM Agent, automating workflows like PRDs, research, and feedback analysis - allowing teams to focus on strategy, prioritization, and product outcomes.
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