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Pearlsoft Technologies LLP

2A-3, Second Floor, A Wing, Athulya IT Building, Infopark Kochi Phase 1, Infopark Kochi PO, Kakkanad, Kochi, Ernakulam, Kerala, 682042


Career Opportunities:

Software Engineer - SNOWFLAKE - Contract (6 Months)

Knowledge and hands on experience with Snowflake.
Understanding of cloud cost models and pricing mechanisms as well as focus on automation as solution, not manual.
Minimum 2-year experience with cloud cost management tools like Cloud Health, NetApp Spot, AWS Cost Explorer and AWS resource editor.
Ability to work with cross-functional teams and communicate effectively.
Experience with Cloud Financial Management
Hands on experience developing APIs, UIs, and automations.
Experience implementing or reviewing KPI/OKR for improvement of FinOps capabilities.
Experience in languages commonly used in cloud environments
Strong analytical and problem-solving skills

Job Functions:
Analyze current cloud spend and identify optimization opportunities for effective cost and resource management.
Develop Automations for cost governance.
Provide Cost transparency for application teams by creating Show back reports.
Provide resource right sizing recommendations to application teams based on workload requirements.
Perform POC/POC with latest Cloud Services to publish guidelines and standards from cost and performance efficiency.
Hands on experience to Upgrade/Migrate cloud resources.


Senior Machine Learning Engineer


• Lead a team of junior machine learning engineers specializing in OCR and NLP, providing guidance, support, and mentorship.
• Gathering information from various data sources, preprocessing, and deriving insights from data using open-source programming.
• Performing exploratory data analysis, preprocessing, cleansing, and validating the integrity of data.
• Developing machine learning and deep learning models and fine-tuning them to meet business expectations.
• Integrating and deploying ML models into production-level code.
• Collaborating with cross-functional teams to integrate machine learning components into our products and services.
• Staying updated on the latest advancements in machine learning, computer vision, OCR, and NLP, and applying them to solve real-world problems in the legal domain.
• Mentoring junior team members and providing technical guidance and support as needed.


• Proven track record of 4+ years of experience in machine learning, focusing on computer vision, OCR, and NLP.
• Strong proficiency in programming languages such as Python, along with experience using machine learning frameworks such as TensorFlow, PyTorch, or similar.
• In-depth understanding of deep learning architectures and techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed computing frameworks.
• Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.
• Strong communication skills and the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.


Azure DevOps Engineer

We are looking for Azure DevOps Engineer with minimum 7+ years of experience
Azure CI/CD Implementation:
• Design, implement, and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines using Azure DevOps.
• Work closely with development teams to ensure smooth integration of CI/CD processes into the software development lifecycle.
Deployment Pipeline Setup:
• Develop and manage deployment pipelines for various applications, ensuring efficient and reliable deployment processes.
• Collaborate with cross-functional teams to optimize deployment workflows.
Rules and Controls Implementation:
• Establish and enforce rules and controls within Azure DevOps to maintain security, compliance, and governance standards.
• Implement access controls, security policies, and monitoring mechanisms.
Architecture and Integration:
• Architect existing applications for seamless integration into the Azure cloud platform.
• Collaborate with development teams to optimize application architecture for Azure, considering scalability, performance, and cost-effectiveness.
App Migration to Azure:
• Lead the migration efforts for multiple applications developed by the offshore team into Azure.
• Troubleshoot and resolve any issues related to the migration process.
• Create and maintain comprehensive documentation for deployment processes, architecture, and configurations.
• Provide training and support to team members on Azure DevOps best practices.
• Bachelor's degree in Computer Science, Information Technology, or related field.
• Proven experience as an Azure DevOps Engineer or similar role.
• Strong understanding of software development processes and methodologies.
• Expertise in setting up and optimizing CI/CD pipelines in Azure DevOps.
• Hands-on experience with Azure services, including but not limited to Azure App Services, Azure SQL Database, Azure Functions, etc.
• Ability to architect and optimize applications for deployment in the Azure cloud environment.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
Preferred Qualifications:
• Azure DevOps Certification.
• Experience with infrastructure as code tools such as Terraform or ARM templates.
• Knowledge of containerization technologies (Docker, Kubernetes).

Share CV’s to


AI Engineer/ ML Engineer

• 4+ years of experience in AI/ML Engineer
Develop and implement machine learning models and algorithms for NLP, CV, LLM, Gen AI, Deep Learning, and Neural Networks applications.
• Collaborate with cross-functional teams to understand requirements and translate them into scalable ML solutions.
• Design and optimize models for performance, scalability, and efficiency.
• To Define, design, and deliver ML architecture patterns operable in native and hybrid cloud architectures.
• Implement machine learning algorithms in services and pipelines that can be used on a web scale.
• Create demos and proofs of concept, develop AI/ML based products and services.
• Creating Functional and technical specifications for AI & ML solutions
• Deploy ML models into production environments, ensuring robustness and reliability.
• Utilize Docker for containerization and MLOPS for managing ML workflows.
• Work with both CPU and GPU architectures for efficient computation.
• Employ optimization techniques to enhance model performance and speed.
• Develop RESTful APIs using FASTAPI for model deployment and integration
• Solid proficiency in Python programming language.
• Extensive experience with Docker and MLOPS practices.
• Hands-on experience with cloud platforms such as AWS, Azure, and GCP, as well as on-premises environments.
• Programming advanced computing and developing algorithms
• Developing software, data models and executing predictive analysis
• Design, develop, and implement generative AI models using state-of-the-art techniques.


Senior Full Stack Java Developer with Microservices

Senior Full Stack Java Developer with Microservices
Experience: 7+ years

• Design, develop, and maintain full stack Java applications with Microservices architecture.
• Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.
• Develop RESTful APIs and integrate third-party services as needed.
• Build front-end components using modern JavaScript frameworks such as Angular or React.
• Implement best practices for security, scalability, and performance optimization.
• Write clean, modular, and maintainable code following industry standards and guidelines.
• Participate in code reviews, pair programming, and knowledge sharing sessions.
• Stay updated on emerging technologies and industry trends to continuously improve skills and solutions.
• Bachelor's degree in Computer Science, Engineering, or related field.
• 7+ years of experience in full stack Java development with a strong understanding of Microservices architecture.
• Proficiency in Spring Boot, Spring Cloud, and other relevant Java frameworks.
• Experience with front-end development using JavaScript frameworks such as Angular or React.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
• Strong understanding of database technologies, including SQL and NoSQL databases.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with team members.
• Desirable: Python skills, or willingness to undergo Python training if not already proficient.


Database Administrator - Contract (6 Months)

Experience - 5-8 Years

Postgres Database administration
Administering PostgreSQL databases
Designing database architectures
Optimizing performance
Developing backup and recovery plans
Managing database security
Fine-tuning SQL queries
Implementing high availability and replication solutions
Utilizing monitoring and alerting tools
Automating tasks and scripting
Working with cloud database services


Full Stack Developer (Remote/Contractual role)

Experience – 2 to 10 years.


Architect, design, and build complex, highly scalable, high-performance enterprise applications

Design, develop, test, release, and maintain components of software (both frontend and backend)

Functionally decompose complex problems into simple solutions.

Apply expert full-stack knowledge in feature creation and enhancement, performance, scalability, security, and engineering best practices.

Knowledge of system interdependencies, limitations, and mitigating risks.

Collaborate with cross-functional teams to release features.

Should act as SME for both frontend and backend systems.

Accelerate development velocity for all engineers and deliver continuous improvements to the team's process

Ensure quality of the software by implementing best practices in the team

Lead, mentor, and guide a team of engineers to deliver Software and meet clients expectations


A bachelor's degree in computer science or equivalent

2 years of hands-on experience in programming in C# and .Net Core

2+ Years of hands-on experience in building SPA applications using ReactJS

Must have experience developing Restful services using .Net Core Web API,

Must have experience in ORM Entity Framework/Dapper/etc.

Deep understanding of ASP.NET Core, Design patterns, OOPS Concepts

Should have good knowledge and working experience on building Microservices applications using any Cloud Platform.

Expertise with JavaScript, HTML5, CSS3, and writing cross-browser code

Strong working experience with MSSQL and TSQL.

Ability to independently deliver complex development projects

Excellent written and oral communication skills

Should have experience in Unit Testing using MOQ, Fakes, TDD, Swagger, and Angular using Jasmine.

Should have experience on Source control systems – GitHub, Bitbucket, GitLab, etc.

Good to have experience in NoSQL databases like MongoDB or Cosmos DB.

Good to have experience in MSMQ, RabbitMQ, and Azure Service Bus

Experience with Azure is a plus.

Please send your resumes to


Azure Data Engineer

Client is looking for multiple Azure Data Engineers for its rapidly growing engineering teams. We are looking for highly motivated engineers with the ability to work in a fast-paced environment, strong collaboration skills, and enthusiasm to work on various engineering efforts at Client. Join Client’s fast-growing set of excellent engineering teams.?
Experience ?
2 to 10 years of hands-on work experience

Design and develop business-critical backend systems using high-quality data pipelines.?
Assemble large, complex data sets that meet functional / non-functional business requirements.?
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure Databricks and Azure Datafactory.?
Build a cloud-native, real-time stream processing & data lake platform that scales into the Zettabytes and beyond.?
Build data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.?
Ability to automate data pipelines using LogicApps, Devops?
Perform root cause analysis on external and internal processes and data to identify opportunities for improvement?
Adopt for change, always open to replacing what you built yesterday with something better today.?
Work with all stakeholders to design and code large scale batch and real-time data pipelines on the Azure.?
Perform code reviews, and lead by example on code refactoring for readability, extensibility, and testability?

A bachelor's degree in computer science or equivalent?
Minimum 2+ years of experience as a Data Engineer,?
Experience with Azure big data tools: Azure Databricks, Azure Synapse, ADLS, Azure Data factory?
Experience with relational SQL and synapse.?
Excellent problem solving and analytic skills associated with working on structured and unstructured datasets using Azure bigdata tools?
Experience with data pipeline and workflow management tools: ADF and Logic Apps?
Experience with Azure cloud services: Azure Databricks, Azure SQL DB, Azure Synapse?
Experience with scripting languages Python, PySpark