
Title : Snowflake Cortex AI Engineer
Experience : 5+ years
Location : Remote
Work type : Remote
Employment Type : Full Time
Notice Period : Immediate
Work Day : Mon to Fri
About the Role:
We are seeking a highly skilled Snowflake Cortex AI Engineer with 5+ years of experience in Data Engineering, AI, and Snowflake. The ideal candidate will have hands-on expertise in Snowflake Cortex AI, Snowpark, and Generative AI capabilities to build intelligent, scalable, and secure AI-powered data applications. The role involves designing AI-driven solutions, integrating LLM capabilities into enterprise workflows, and collaborating with cross-functional teams to deliver business value.
Key Responsibilities:
- Design, develop, and implement AI-powered solutions using Snowflake Cortex AI.
- Build intelligent data applications leveraging Snowpark, Cortex AI functions, and SQL.
- Develop Retrieval-Augmented Generation (RAG) solutions using enterprise data stored in Snowflake.
- Integrate Large Language Models (LLMs) into enterprise applications using Snowflake Cortex.
- Design and optimize AI workflows for document summarization, sentiment analysis, classification, translation, question answering, and text generation.
- Develop scalable data pipelines to support AI and machine learning workloads.
- Collaborate with Data Engineers, Data Scientists, and business stakeholders to understand AI use cases and deliver effective solutions.
Ensure AI solutions comply with enterprise security, governance, and data privacy standards.
- Optimize Snowflake performance and AI workloads for scalability and cost efficiency.
- Participate in architecture discussions, code reviews, and technical documentation.
Required Skills & Experience
- 5+ years of experience in Data Engineering, AI/ML, or Analytics.
- Strong hands-on experience with Snowflake.
- Experience working with Snowflake Cortex AI capabilities.
- Strong understanding of Snowpark (Python or SQL).
- Experience building AI-powered applications using enterprise data.
- Hands-on experience with Python and SQL.
- Knowledge of Generative AI, Prompt Engineering, and Large Language Models (LLMs).
- Experience designing and implementing RAG (Retrieval-Augmented Generation) solutions.
- Strong understanding of data modeling and data warehousing concepts.
- Experience developing and optimizing ETL/ELT pipelines.
- Experience integrating REST APIs and external AI services.
Technical Skills
- Snowflake
- Snowflake Cortex AI
- Snowpark
- SnowSQL
- Snowpipe
- Streams & Tasks
- Secure Data Sharing
- Performance Optimization
- Role-Based Access Control (RBAC)
Programming
- Python
- SQL
- AI & Machine Learning
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Model Integration
- Text Analytics
- Semantic Search
- Data Engineering
- ETL/ELT Development
- Data Warehousing
- Data Pipelines
- Structured & Semi-Structured Data Processing
- Cloud (Preferred)
- AWS / Azure / GCP
Preferred Skills
- Experience with vector search and semantic search concepts.
- Knowledge of Snowflake Cortex Analyst, Cortex Search, or Cortex Agents.
- Experience with AI governance and responsible AI practices.
- Familiarity with LangChain, LangGraph, or similar AI orchestration frameworks.
- Exposure to ML model deployment and MLOps practices.
- SnowPro certification is an added advantage.
Educational Qualification
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, or a related field.
Key Competencies
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Ability to translate business requirements into AI-driven solutions.
- Strong collaboration and teamwork skills.
- Self-driven with the ability to work independently in a remote environment.

About Ampera Technologies
About
At Ampera Technologies, we empower businesses with cutting-edge data analytics, quality assurance, and data engineering solutions
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VDart is a global leader in digital solutions, product development, and professional services. Headquartered in Atlanta, GA, USA, the company has a robust global presence across North America, Europe, the Middle East, and Asia. VDart Digital specializes in delivering cutting-edge digital transformation solutions, leveraging technologies like AI/ML, blockchain, cloud computing, IoT, and data analytics. Its innovative product portfolio includes offerings such as TestSamurAI, LendSmartAI, IDocLens, and more, which are designed to optimize operations and drive business growth.
Role Description
We are looking for a seasoned data leader to design, build, and own enterprise-scale data platforms on Azure. This role goes beyond development — it requires end-to-end accountability for architecture, data pipelines, transformation frameworks, and production readiness.
You will act as the critical link between business stakeholders, data engineering teams, and analytics functions, ensuring scalable and high-performance data solutions are delivered and maintained.
Key Responsibilities:
- Design and implement robust data pipelines using Azure Data Factory (ADF), including integration with REST APIs and external data sources
- Build scalable data transformation workflows using Databricks (PySpark), handling complex and nested JSON datasets
- Architect and implement Delta Lake-based data platforms, including fact and dimension models (star schema)
- Define and enforce best practices for data modeling, performance optimization, and cost efficiency
- Own end-to-end data platform lifecycle — from architecture and deployment to monitoring and operational support
- Establish production readiness frameworks, including logging, alerting, and data quality checks
- Collaborate closely with business and analytics teams to translate requirements into scalable technical solutions
- Mentor engineering teams and drive architectural governance across projects
Required Experience & Skills:
• Experience building pipelines with Azure Data Factory
• Experience connecting to REST API sources using Azure Data Factory
• Experience building transformations with Databricks using PySpark
• Experience handling complex nested JSON files using PySpark
• Experience designing dimensional models/star schema
• Experience implementing facts and dimension tables in Databricks Delta Lake
• Around 15-20 years of solid experience in building, managing, and optimizing enterprise data platforms with at least 5 years in Azure cloud data services
• Act as a bridge between business, data engineering, and analytics teams to ensure requirements are clearly understood and implemented correctly
• Own end-to-end production readiness of the data platform, including architectural design, deployment patterns, monitoring strategy and operational support.
We’re hiring a remote, contract-based Backend & Infrastructure Engineer who can build and run production systems end-to-end.
You will build and scale high-throughput backend services in Golang and Python, operate ClickHouse-powered analytics at scale, manage Linux servers for maximum uptime, scalability, and reliability, and drive cost efficiency as a core engineering discipline across the entire stack.
What You Will Do:
Backend Development (Golang & Python)
- Design and maintain high-throughput RESTful/gRPC APIs — primarily Golang, Python for tooling and supporting services
- Architect for horizontal scalability, fault tolerance, and low-latency at scale
- Implement caching (Redis/Memcached), rate limiting, efficient serialization, and CI/CD pipelines
Scalable Architecture & System Design
- Design and evolve distributed, resilient backend architecture that scales without proportional cost increase
- Make deliberate trade-offs (CAP, cost vs. performance) and design multi-region HA with automated failover
ClickHouse & Analytical Data Infrastructure
- Deploy, tune, and operate ClickHouse clusters for real-time analytics and high-cardinality OLAP workloads
- Design optimal table engines, partition strategies, materialized views, and query patterns
- Manage cluster scaling, replication, schema migrations, and upstream/downstream integrations
Cost Efficiency & Cost Optimization
- Own cost optimization end-to-end: right-sizing, reserved/spot capacity, storage tiering, query optimization, compression, batching
- Build cost dashboards, budgets, and alerts; drive a culture of cost-aware engineering
Linux Server Management & Infrastructure
- Administer and harden Linux servers (Ubuntu, Debian, CentOS/RHEL) — patching, security, SSH, firewalls
- Manage VPS/bare-metal provisioning, capacity planning, and containerized workloads (Docker, Kubernetes/Nomad)
- Implement Infrastructure-as-Code (Terraform/Pulumi); optionally manage AWS/GCP as needed
Data, Storage & Scheduling
- Optimize SQL schemas and queries (PostgreSQL, MySQL); manage data archival, cold storage, and lifecycle policies
- Build and maintain cron jobs, scheduled tasks, and batch processing systems
Uptime, Reliability & Observability
- Own system uptime: zero-downtime deployments, health checks, self-healing infra, SLOs/SLIs
- Build observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry); structured logging, distributed tracing, alerting
- Drive incident response, root cause analysis, and post-mortems
Required Qualifications:
Must-Have (Critical)
- Deep proficiency in Golang (primary) and Python
- Proven ability to design and build scalable, distributed architectures
- Production experience deploying and operating ClickHouse at scale
- Track record of driving measurable cost efficiency and cost optimization
- 5+ years in backend engineering and infrastructure roles
Also Required
- Strong Linux server administration (Ubuntu, Debian, CentOS/RHEL) — comfortable living in the terminal
- Proven uptime and reliability track record across production infrastructure
- Strong SQL (PostgreSQL, MySQL); experience with high-throughput APIs (10K+ RPS)
- VPS/bare-metal provisioning, Docker, Kubernetes/Nomad, IaC (Terraform/Pulumi)
- Observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry)
- Cron jobs, batch processing, data archival, cold storage management
- Networking fundamentals (DNS, TCP/IP, load balancing, TLS)
Nice to Have
- AWS, GCP, or other major cloud provider experience
- Message queues / event streaming (Kafka, RabbitMQ, SQS/SNS)
- Data pipelines (Airflow, dbt); FinOps practices
- Open-source contributions; compliance background (SOC 2, HIPAA, GDPR)
What We Offer
- Remote, contractual role
- Flexible time zones (overlap for standups + incident coverage)
- Competitive contract compensation + equity
- Long-term engagement opportunity based on performance
Job Description: React Native App Developer
Company: Arroz Technology Private Limited
CTC: 3.5-5 LPA
ESOP
Working Hours : 9:30 AM to 6:30PM
Working Days : 6 Days a Week (1 day Work from Home in a week)
Location : 4thFloor ,TMR Tower ,Whitefield, Thubarahalli, Bengaluru, Karnataka 560066, India
Google Map Links : https://goo.gl/maps/YbhYeNy8ahLqVykS7
Responsibilities:
- Develop and maintain high-quality mobile applications using React Native.
- Collaborate with cross-functional teams to gather requirements and translate them into high-level designs.
- Write clean, reusable, and well-structured code following industry best practices and coding standards.
- Conduct code reviews and provide constructive feedback to ensure code quality and adherence to standards.
- Mentor and guide junior developers, providing technical expertise and promoting professional growth.
- Collaborate with backend developers to integrate APIs and ensure smooth data flow between the app and server.
- Stay updated with the latest trends and advancements in React Native and mobile app development.
- Work in a 9:30 AM to 6:30 PM, six-day office role, maintaining regular attendance and punctuality.
Required Skills and Qualifications:
- Strong proficiency in React Native development.
- Experience with Redux or similar state management libraries.
- Proficiency in integrating APIs and working with backend services.
- Sound knowledge of JavaScript, ES6+, and modern web technologies.
- Familiarity with Git version control system and agile development methodologies.
- Good problem-solving and debugging skills.
- Excellent communication and teamwork abilities.
- Bachelor's degree in Computer Science or a related field (preferred).
Join Arroz Technology Private Limited as a React Native App Developer and be part of an innovative team driving the development of cutting-edge mobile applications. This role offers competitive compensation and growth opportunities within a dynamic work environment.
Company is a direct to consumer brand in affordable fast fashion space using full stack model to solve for high quality at affordable prices. We leverage in-house manufacturing coupled with strong usage of technology to drive efficiency. Rapidbox is funded by Top-Tier VC firms and
prominent angel investors.
Must Have Skills (Working Experience Needed):
Preferably a Graduate/Postgraduate from a Tier 1/2 college/university.
Core Java
Hibernate and any relational database – MySQL, Postgres, Oracle.
Redis Caching
Spring
Maven, Git
Ability to thrive in a dynamic environment with changing priorities
Spring
Experience with OO design, design patterns & deep understanding of JVM internals
(multithreading, garbage collection etc.)
Problem solver
Search solutions like ES, Solr
NoSQL data store like Cassandra/Mongo
Kafka
Microservices Architecture, Web services, API development, Enterprise integration
Experience on scalable and distributed systems
Good to have:
Distributed Cache
Performance testing tools - Jmeter, Locust, Gatling
Ecommerce background
Job Description
- 2+ years of relevant programming experience in an online environment, preferably in the gaming industry.
- Good knowledge of HTML5 and Javascript.
- Should have worked on Phaser.io HTML5 framework.
- Should have worked on at least one HTML5 game.
- Good knowledge of HTML5, CSS3, JavaScript, AJAX, SVG, XML.
- Knowledge of HTML5 porting into Android and iOS through available plug- in.
- Ability to develop and deploy HTML5 on iOS, Android and Web.
- Strong attention to detail and knowledge of robust quality assurance practices.
- Strong testing, debugging, and analytical skills.
Create and maintain database tables, views, indexes, and triggers.
Implement and maintain database code in the form of stored procedures, scripts, queries, views, triggers, etc.
Develop and maintain high-quality stored procedures.
Write low cost, high-quality database queries and code while maintaining data quality, privacy, and security
Profile databases, measure database performance and troubleshoot complex database issues, and IO bottlenecks.
Optimize database queries and ensure table locking/deadlocks happen in production.
Optimize large, complicated SQL statements & Stored Procedures.
Cost optimization of Amazon instances using databases.
Knowledge of database design principles, query optimization, index management, integrity checks, statistics and isolation levels
Knowledge of message queuing, indexing, and high-performance data concept
Knowledge of JSON and PostgreSQL support for JSON.
Good Grasp of ETL concepts
Work with front-end developers to define simple yet powerful APIs
Work with DBAs to ensure the efficiency of database code, integrity of data structures and quality of data content.
Coordinate with product managers and leadership teams to build effective database objects
Excellent verbal and written communication skills
Good attitude towards work and flexibility
Ability and willingness to handle multiple tasks in a fast-paced environment
Ability to evaluate alternative solutions and/or workarounds
Requirements:
- 10+ years in Product development.
- Strong belief in software craftsmanship and practicing it in day-to-day work, expert in Microsoft. NET technology stack is a must.
- Strong hands-on experience in web development using ASP. NET MVC and C#.
- Usage of SQL and no SQL databases.
- Hands on experience in test-driven development and DevOps practices.
- Strong design capabilities, following SOLID principles using C#.
- Working on solutions hosted in cloud environments (AWS or Azure).
- Implementation of Continuous Delivery processes.
- Good understanding of Behaviour-driven development and domain-driven design.
Excellent communicator
Responsibilities:
- Contribution to the product roadmap in sprint model.
- Helping your team to deliver at high velocity.
- Practice and promote Agile practices.
- Continuously learn and deliver incremental business value.
- Use Continuous Delivery Practices.
- Mentor junior team members.
- Develop of asynchronous and/or multi-tiered scalable applications.
Please find below JD and do reply with updated resume if you are interested.
Software Development Engineer
Bengaluru / Hyderabad / Chennai / Delhi
As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.
Top Skills
• You write high quality, maintainable, and robust code, often in Java or C++.
• You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
• You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
Roles & Responsibilities
• You solve problems at their root, stepping back to understand the broader context.
• You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
• You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
• You recognize and use design patterns to solve business problems.
• You understand how operating systems work, perform and scale.
• You continually align your work with Amazon’s business objectives and seek to deliver business value.
• You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
• You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
• You communicate clearly with your team and with other groups and listen effectively.
Skills & Experience
• Bachelors or Masters in Computer Science or relevant technical field.
• Experience in software development and full product life-cycle.
• Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
• Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
• Proficiency in SQL and data modeling.
About Amazon.com
“Many of the problems we face have no textbook solution, and so we-happily-invent new ones.” – Jeff Bezos
Amazon.com – a place where builders can build. We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon offers everything from books and electronics to apparel and diamond jewelry. We operate sites in Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Netherlands, Spain, United Kingdom and United States, and maintain dozens of fulfillment centers around the world which encompass more than 26 million square feet.
Technological innovation drives the growth of Amazon, offering our customers more selection, convenient shopping, and low prices. Amazon Web Services provides developers and small to large businesses access to the horizontally scalable state of the art cloud infrastructure like S3, EC2, AMI, CloudFront and SimpleDB, that powers Amazon.com. Developers can build any type of business on Amazon Web Services and scale their application with growing business needs.
We want you to help share and shape our mission to be Earth's most customer-centric company. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun.
About Amazon India
Amazon teams in India work on complex business challenges to innovate and create efficient solutions that enable various Amazon businesses, including Amazon websites across the world as well as support Payments, Transportation, and Digital products and services like the Kindle family of tablets, e-readers and the store. We are proud to have some of the finest talent and strong leaders with proven experience working to make Amazon the Earth’s most customer-centric company.
We made our foray into the Indian market with the launch of Junglee.com, enabling retailers in India to advertise their products to millions of Indian shoppers and drive targeted traffic to their stores. In June 2013, we launched www.amazon.in for shoppers in India. With www.amazon.in, we endeavor to give customers more of what they want – low prices, vast selection, fast and reliable delivery, and a trusted and convenient online shopping experience. In just over a year of launching our India operations, we have expanded our offering to over 18 million products across 36 departments and 100s of categories! Our philosophy of working backwards from the customers is what drives our growth and success.
We will continue to strive to become a trusted and meaningful sales and logistics channel for retailers of all sizes across India and a fast, reliable and convenient online shopping destination for consumers. For us, it is always “Day 1” and we are committed to aggressively invest over the long-term and relentlessly focus on raising the bar for customer experience in India.
Amazon India offers opportunities where you can dive right in, work with smart people on challenging problems and make an impact that contributes to the lives of millions. Join us so you can - Work Hard, Have Fun and Make History.
Thanks and Regards,
Regards,
Archana J
Recruiter (Tech) | Consumer TA
Key Responsibilities
-
Lead and inspire high-performing engineering teams to build and scale highly reliable, secure and responsive architecture for all LoveLocal products
-
Build highly Scalable platforms using Python, ReactJS, NodeJS, Kafka, Distributed Caching, SQL and No SQL Databases
-
Take full ownership of the people related aspects of the Engineering team engagement, recruiting, retention, compensation, promotions, individual performance management and organizational structure
-
Should be actively involved in hunting and recruiting new talent
-
Manage the engineering pipeline at all levels from planning the product implementation with the developers, distributing and managing work of the engineering team and ensure code quality across products and services
-
Should continuously plan and build for increasing scale of the product and ensure full hygiene of the tech infrastructure and code sanity
-
Should be the primary point of contact of functional heads for all tech dependencies
-
Take ownership of overall tech budget, reviewing expenses and planning for future costs
-
Work closely with CTO and Product Head on the Tech roadmap of the organisation
-
Become an integral part of the core team and be strongly aligned with the mission and values of the company
Main Qualifications
-
8+ years of experience in Software Development with end-end implementation of products (Preferably in a product driven organisation)
-
Minimum 3 years of experience leading a team of at least 15 developers, either as an EM or a Tech Lead
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Should have worked in a well scaled and fast paced working environment (Startups beyond Series B or a major tech organisation)
-
Comfortable handling multiple competing priorities in a fast-paced environment.
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Well versed with cloud computing and infrastructure management AWS / GCP
-
Has worked extensively on designing and implementing Microservices architecture
-
Should have experience working with NoSQL data stores such as MongoDb, Cassandra, HBase, DynamoDB, etc.
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Should have experience working with Big Data streaming services such as Kinesis, Kafka, RabbitMQ etc
-
Should be highly skilled in Python and have solid exposure to JavaScript
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Should have solid exposure to Web development and have had familiarity working with Android and IOS engineers
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Excellent understanding of software engineering practices and Design Patterns
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A Bachelors or Masters in Computer Science or equivalent engineering degree from top engineering institutes.










