Team Leader-Sales

 We are looking for a skilled and passionate Android Developer to join our mobile application development team. The ideal candidate will be responsible for designing, developing, testing, and maintaining high-performance Android applications that provide an excellent user experience. 

Key Responsibilities 

• Design and develop advanced applications for the Android platform. 
• Collaborate with cross-functional teams including designers, backend developers, and product managers. 
• Maintain and improve application performance, quality, and responsiveness. 
• Identify and fix bugs while continuously improving application functionality. 
• Integrate RESTful APIs and third-party services into Android applications. 
• Write clean, scalable, and maintainable code following best practices. 
• Stay updated with the latest Android development trends, tools, and technologies. 

Required Skills & Qualifications 

• Bachelor’s degree in Computer Science, Information Technology, or related field. 
• Proven experience as an Android Developer or Mobile Application Developer. 
• Strong proficiency in Kotlin and/or Java. 
• Experience with Android SDK, Android Studio, and mobile app architecture. 
• Knowledge of RESTful APIs and JSON integration. 
• Familiarity with version control systems such as Git. 
• Understanding of Material Design principles and mobile UI/UX best practices. 
• Strong analytical and problem-solving skills. 

Preferred Qualifications 

• Experience with Jetpack Compose, Firebase, or cloud-based services. 
• Knowledge of CI/CD pipelines and mobile app deployment. 
• Understanding of Agile/Scrum methodologies. 
• Published applications on the Google Play Store. 
• Portfolio or GitHub projects showcasing Android development expertise. 

Job Title : API Lead

Experience : 8+ Years

Location : Remote (Laptop pickup required for 2 days from Noida, Hyderabad, Chennai, Pune, or Bengaluru)

Shift : IST (Regular Day Shift)

Role Overview :

We are looking for an experienced API Lead with strong expertise in C#.NET, Azure Cloud, Azure Functions, and Azure Kubernetes Service (AKS) to design, develop, and lead scalable, secure, and high-performance APIs and microservices for cloud-native applications.

Mandatory Skills :

C#, .NET, .NET Core/.NET 6+, Azure Cloud Services, Azure Functions, Azure Kubernetes Service (AKS), REST API Development, Docker, Kubernetes, Azure SQL/Cosmos DB, and CI/CD using Azure DevOps or GitHub Actions.

Mandatory Skills :

• C#.NET (.NET Core/.NET 6+)
• Azure Cloud Services
• Azure Functions
• Azure Kubernetes Service (AKS)
• REST API Development
• Docker and Kubernetes
• Azure SQL and/or Cosmos DB
• CI/CD (Azure DevOps or GitHub Actions)

Key Responsibilities :

• Design and develop RESTful APIs and microservices using C# and .NET Core/.NET 6+.
• Build and integrate solutions using Azure services such as Azure Functions, APIM, App Services, and Storage.
• Deploy and manage containerized applications using Docker and AKS.
• Implement API security using OAuth2, JWT, and Managed Identities.
• Optimize API performance and collaborate with Architecture, DevOps, and QA teams.

Required Technical Skills :

Must-Have Skills :

• Strong expertise in C#, .NET Core, and .NET 6+.
• Hands-on experience with Azure Functions and Azure Kubernetes Service (AKS).
• Strong understanding of REST API architecture and best practices.
• Experience with Docker and Kubernetes concepts.
• Knowledge of Azure API Management (APIM) and Azure PaaS services.
• Experience with Azure SQL Database and Cosmos DB.
• Familiarity with CI/CD pipelines using Azure DevOps and/or GitHub Actions.
• Strong understanding of API authentication and security mechanisms (OAuth2, JWT, Managed Identities).
• Experience with monitoring, troubleshooting, and performance tuning of APIs.

Good to Have :

• Experience with microservices architecture and distributed systems.
• Exposure to Infrastructure as Code (Terraform/Bicep).
• Experience with Application Insights and Azure Monitor.
• Knowledge of Agile/Scrum methodologies.

Senior Python Developer to lead the development of scalable, high-performance backend systems and data-driven applications. You will work on building robust services, APIs, and data workflows that power real-time and batch applications.This role is ideal for a seasoned developer who thrives on solving complex problems, building reliable software, and working across data and engineering teams. Youll play a key role in designing and developing Python-based systems that interface with big data frameworks, cloud platforms, and analytics tools.Key Responsibilities

• Design and develop robust Python-based backend services and microservices.
• Build RESTful APIs and integrations with third-party systems and internal tools.
• Work with data workflows involving ingestion, transformation, and validation.
• Develop and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
• Collaborate with DevOps teams to deploy, monitor, and scale applications in cloud environments (AWS, Azure, GCP).
• Optimize code for performance, scalability, and maintainability.
• Write unit and integration tests, participate in code reviews, and follow CI/CD best practices.
• Work with cloud storage, databases, and data lake technologies like S3, Parquet, and DuckDB.
• Collaborate with data scientists, analysts, and engineers to enable data access and modeling.

Required Skills & Qualifications

• 5+ years of experience in backend software development, primarily in Python.
• Strong understanding of OOP, modular design, and Python design patterns.
• Experience with web frameworks (e.g., Flask, FastAPI, Django).
• Hands-on experience with data processing tools like Pandas, SQLAlchemy, PyArrow.
• Proficiency with SQL and database technologies (PostgreSQL, DuckDB, etc.).
• Experience with Airflow for workflow orchestration.
• Knowledge of building scalable, distributed applications and microservices.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Solid understanding of version control (Git), testing frameworks (PyTest), and CI/CD pipelines.
• Excellent problem-solving, debugging, and communication skills.

Preferred Skills (Nice to Have)

• Experience with data processing frameworks like Apache Spark or Vaex.
• Familiarity with data storage formats and tools like Parquet, Iceberg.
• Exposure to data streaming platforms (Kafka, Kinesis, Flink).
• Experience integrating backend systems with AI/ML pipelines or BI platforms.
• Understanding of security standards and compliance (GDPR, HIPAA, SOC2).
• Background in metadata-driven or event-driven architectures.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data

OVERVIEW

We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.

The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.

SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.

Data Pipeline Design (Required): You build pipelines that handle real-world messiness gracefully. You understand idempotency, exactly-once semantics, backfill strategies, and incremental versus full recomputation tradeoffs. You design for failure—what happens when an upstream source is late, returns malformed data, or goes down entirely. Experience with workflow orchestration required: Airflow, Prefect, Dagster, or similar.

Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.

WHAT YOU WILL BUILD

Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.

Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.

Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.

Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.

Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.

DOMAIN EXPERIENCE

Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.

Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.

High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.

ENGINEERING STANDARDS

Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.

Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.

Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.

Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.

TECHNICAL ENVIRONMENT

PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.

WHAT WE ARE LOOKING FOR

Attention to Detail: You notice when something is slightly off and investigate rather than ignore.

Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.

Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.

Long-Term Orientation: You build systems you will maintain for years.

Communication: You document clearly, explain data issues to non-engineers, and surface problems early.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Engineering. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a data pipeline you built and maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Hello,

We are hiring SAP UI5 Developer with BTP experience for our client at Bangalore and Pune.

Roles and Responsibilities as follows:-

Experience – 4 to 8 years

Notice: Immediate to 7 days

Location – Pune or Bangalore

Must have willingness to travel to Pune office whenever needed.

Contract – is preferred or Fulltime is also ok.

Must Have

• Over 4 years of experience in working with SAPUI5

• Hands on experience and a good understanding in HTML, CSS and JavaScript

• Good Understanding of SAPUI5 framework and architecture

• End to end hand-on of SAP BTP Platform (SAP CF Service Offerings like, Destination, Portal/Launchpad, Object Store, Connectivity, Workflows. Etc).

• Experience in developing SAPUI5 application using ODATA service endpoint

. Experience in Standard and Custom SAP Fiori Applications

• Experience in Custom controls in SAP UI5 and Integration of 3rd party controls

• Experience in Application deployment on ABAP repo/ SAP CP

• Experience in Fiori Launchpad Portal configurations and application deployment.

Good to Have

• Experience in developing SAPUI5 application using Rest Web services endpoints

• Experience in ABAP OData services

• Experience in SAP HANA, SAP CP, SAP Cloud Foundry

• Experience in SAP CP Business Application using CDS

• Experience in SAP Multi Target Application

• Experience in Launchpad Theme Designing

Should have min 5 years experience in coding.

thorugh knowledge on HOC , Material UI

Implementing complex react components 

API Integration.

 Extensive (4+ years) knowledge of web technologies and building large scale web applications​

· Strong proficiency in Java Script​

· Expertise in Object-oriented programming​

· Understanding the fully asynchronous behavior of React.js (Redux)

· Solid understanding of user-centered design principles and MVC/MVP/MVVM patterns specific​

to front- end development​

· Good in problem-solving skills​

· Good in English communication (verbal and written)

• You will be responsible for design, development and testing of Products
• Contributing in all phases of the development lifecycle

• Writing well designed, testable, efficient code
• Ensure designs are in compliance with specifications

• Prepare and produce releases of software components

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.