UI/UX Designer

Job Summary 

We are looking for a skilled Java + Cloud Developer to design, develop, and maintain high-performance applications. The ideal candidate will have strong expertise in Core Java, Spring Framework, multithreading, and database management, along with exposure to cloud platforms and containerization technologies. 

Job Title: Java + Cloud Developer 

Location: Pune / Mumbai / Bangalore  

Experience Level: 4-8 

Employment Type: Full-time 

Key Responsibilities 

• Design, develop, and maintain scalable Java applications using Core Java, Spring Framework, JDBC, and multithreading concepts. 
• Implement and integrate database solutions using relational and NoSQL databases. 
• Utilize JDBC for database connectivity and manipulation. 
• Work with cloud platforms such as Azure or GCP; experience with DevOps practices is an added advantage. 
• Develop, deploy, and manage applications using containerization technologies (Docker, Kubernetes). 
• Debug and troubleshoot applications through log analysis and monitoring tools. 
• Collaborate with cross-functional teams to ensure seamless integration between multi-service components. 
• Handle large-scale data processing tasks effectively; hands-on experience with Apache Spark is a plus. 
• Apply Agile methodologies (Scrum/Kanban) in daily development activities. 
• Continuously research and adopt new technologies to improve development processes and methodologies. 

Required Skills & Qualifications 

• Strong proficiency in Core Java (Java 8 or higher) with a deep understanding of threading and concurrent programming. 
• Solid experience with the Spring Framework and its various modules (Spring Boot, Spring MVC, Spring Data, etc.). 
• Experience with RDBMS (e.g., MySQL, PostgreSQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra). 
• Basic understanding of cloud platforms (Azure, GCP, or AWS). 
• Knowledge of DevOps practices (CI/CD, version control, monitoring tools) is a plus. 
• Familiarity with Docker and Kubernetes for application deployment and scaling. 
• Strong analytical and problem-solving skills. 
• Good communication skills and ability to work in a collaborative environment. 

Preferred Qualifications 

• Hands-on experience with Apache Spark for big data processing. 
• Exposure to microservices architecture and API integrations. 
• Familiarity with log monitoring tools (ELK, Splunk, etc.). 

Note : Serving Notice OR 30 Days NP

Responsibilities:

• Analyze and understand business requirements and translate them into efficient, scalable business logic.

• Develop, test, and maintain software that meets new requirements and integrates well with existing systems.

• Troubleshoot and debug software issues and provide solutions.

• Collaborate with cross-functional teams to deliver high-quality products, including product managers, designers, and developers.

• Write clean, maintainable, and efficient code.

• Participate in code reviews and provide constructive feedback to peers.

• Communicate effectively with team members and stakeholders to understand requirements and provide updates.

Required Skills:

• Strong problem-solving skills with the ability to analyze complex issues and provide solutions.

• Ability to quickly understand new problem statements and translate them into functional business logic.

• Proficiency in at least one programming language such as Java, Node.js, or C/C++.

• Strong understanding of software development life cycle (SDLC).

• Excellent communication skills, both verbal and written.

• Team player with the ability to collaborate effectively with different teams.

Preferred Qualifications:

• Experience with Java, Golang, or Rust is a plus.

• Familiarity with cloud platforms, microservices architecture, and API development.

• Prior experience working in an agile environment.

• Strong debugging and optimization skills.

Educational Qualifications:

• Bachelor's degree in Computer Science, Engineering, related field, or equivalent work experience.

About this roleWe are seeking an experienced MongoDB Developer/DBA who will be

responsible for maintaining MongoDB databases while optimizing performance, security, and

the availability of MongoDB clusters. As a key member of our team, you’ll play a crucial role in

ensuring our data infrastructure runs smoothly.

You'll have the following responsibilities

 Maintain and Configure MongoDB Instances - Responsible for build, design, deploy,

maintain, and lead the MongoDB Atlas infrastructure. Keep clear documentation of the

database setup and architecture.

 Ownership of governance, defining and enforcing policies in MongoDB Atlas.Provide

consultancy in drawing the design and infrastructure (MongoDB Atlas) for use case.

 Service and Governance wrap will be in place to restrict over provisioning for server size,

number of clusters per project and scaling through MongoDB Atlas

 Gathering and documenting detailed business requirements applicable to the data

layer.Responsible for designing, configuring and managing MongoDB on Atlas.

 Design, develop, test, document, and deploy high-quality technical solutions on the

MongoDB Atlas platform based on industry best practices to solve business needs.

Resolves technical issues raised by the team and/or customer and manages escalations as

required.

 Migrate data from on-premise MongoDB and RDBMS to MongoDB AtlasCommunicate

and collaborate with other technical resources and customers in providing timely updates

on status of deliverables, shedding light on technical issues, and obtaining buy-in on

creative solutions.

 Write procedures for backup and disaster recovery.

You'll have the following skills & experience

 Excellent analytical, diagnostic skills, and problem-solving skills

 Should understand the Database concept and develop expertise in designing and

developing NoSQL databases such as MongoDB

 MongoDB query operation, import and export operation in database

 Experience in ETL methodology for performing Data Migration, Extraction,

Transformation, Data Profiling and Loading

 Migrating database by ETL, migrating database by manual process and designing,

development, implementation

 General networking skills, especially in the context of a public cloud (e.g. AWS – VPC,

subnets, routing tables, nat / internet gateways, dns, security groups)

 Experience using Terraform as an IaC tool for setting up infrastructure on AWS

CloudPerforming database backups and recovery

 Competence in at least one of the following languages (in no particular order): Java, C++,

C#, Python, Node.js (JavaScript), Ruby, Perl, Scala, Go

 Excellent communication skills, often being able to compromise but draw out risks and

constraints associated with solutions. Be able to work independently and collaborate with

other teams

 Proficiency in configuring schema and MongoDB data modeling.

 Strong understanding of SQL and NoSQL databases.

 Comfortable with MongoDB syntax.

 Experience with database security management.

 Performance Optimization - Ensure databases achieve maximum performance and

availability. Design effective indexing strategies.

Roles and Responsibilities

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establish a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
• Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional expertise

• Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
• At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
• In-depth knowledge of cloud analytics tools.
• Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
• Ability to evaluate hardware selection for running ML models for optimal performance
• Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
• Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
• Deep analytical thinking with excellent problem-solving abilities
• Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
• Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
• Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
• Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards

Looking Data Enginner for our Own organization-

Notice Period- 15-30 days
CTC- upto 15 lpa

Preferred Technical Expertise 

1. Expertise in Python programming.
2. Proficient in Pandas/Numpy Libraries. 
3. Experience with Django framework and API Development.
4. Proficient in writing complex queries using SQL
5. Hands on experience with Apache Airflow.
6. Experience with source code versioning tools such as GIT, Bitbucket etc.

 Good to have Skills:

1. Create and maintain Optimal Data Pipeline Architecture
2. Experienced in handling large structured data.
3. Demonstrated ability in solutions covering data ingestion, data cleansing, ETL, Data mart creation and exposing data for consumers.
4. Experience with any cloud platform (GCP is a plus)
5. Experience with JQuery, HTML, Javascript, CSS is a plus.

#skills -1.) Strong knowledge of .NET web framework - .Net 3.5, 4.0.
2.) Proficient in C# with a good knowledge of their ecosystems.
Strong understanding of object-oriented programming.
3.) Skill for writing reusable libraries.
#Salary : (as per performance in Interview)
5 days working