Team

You will be part of a full project team that includes senior Software Developers, QA, Project Managers, and business leaders who are dedicated to multiple long-term products.

Key Responsibilities

• Design, develop and deploy cloud-native container-based financial applications.
• Design, develop and document REST-based API Services for big-data back-end systems .
• Implement the application’s CI/CD pipeline using the AWS CI/CD stack.
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Write infrastructure as code using AWS CDK .

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field
• Minimum of 3 years of experience working with core AWS Services (AWS Lambda, API Gateway, S3, DynamoDB, CloudFormation, IAM, etc.)
• 5 years of experience developing and deploying container-based microservices (Docker and AWS Fargate)
• Proficiency in at least one language from our stack (Nodejs, Python, Java, React)
• Strong notions of security best practices (e.g. using IAM Roles, KMS, etc.).
• Good problem-solving and analytical skills
• Extensive experience with open-source technology, software development, and system engineering
• Exceptionally self-motivated, self-directed, and detail-oriented
• Excellent communication, analytical, and problem-solving skills.

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Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Build and optimize data warehouses, data lakes, and real-time streaming pipelines.
• Ensure data quality, integrity, and availability across platforms.
• Collaborate with data scientists, analysts, and stakeholders to understand data needs.
• Implement data governance, security, and compliance best practices.
• Monitor, troubleshoot, and optimize data systems for performance and cost efficiency.
• Document data processes, workflows, and architecture.
• Design, develop and document REST-based API Services for big-data back-end systems
• Implement the application’s CI/CD pipeline using the AWS CI/CD stack
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance
• Write infrastructure as code using AWS CDK

Required Skills & Qualifications

• Bachelor’s degree in computer science, Engineering, Information Systems, or related field.
• Strong programming skills in Python, SQL, and/or Java/Scala.
• Hands-on experience with ETL tools and frameworks (Airflow, dbt, Luigi, etc.).
• Experience with big data technologies (Hadoop, Spark, Kafka, Flink).
• Proficiency in cloud platforms (AWS, GCP, Azure) and their data services (Redshift, BigQuery, Snowflake, etc.).

What We Offer

• Competitive salary and performance bonuses.
• Flexible working hours and remote options.
• Opportunity to work with modern data tech stacks.
• Collaborative and innovative work environment.
• Professional development and career growth opportunities.

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Key Responsibilities

• Develop, execute, and maintain comprehensive test plans, test cases, and scripts.
• Perform manual and automated testing across web, mobile, and API platforms.
• Collaborate with developers, product managers, and other stakeholders to understand requirements and define quality standards.
• Ensure regression, functional, integration, and performance testing coverage.
• Implement automation frameworks using tools like Selenium, Cypress, or Playwright.
• Contribute to CI/CD pipelines by integrating automated tests.
• Monitor and report test results, providing recommendations for improvements.
• Stay updated on industry best practices and emerging QA tools/technologies.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field
• Proven experience as a QA Engineer, Tester, or similar role.
• Hands-on experience with testing tools (Selenium, Postman, JMeter, etc.).
• Strong understanding of SDLC, STLC, Agile, and DevOps methodologies.
• Proficiency in writing SQL queries for database testing.
• Basic programming/scripting knowledge (Java, Python, JavaScript, or similar).
• Excellent analytical and problem-solving skills with attention to detail.

Preferred Qualifications

• Experience with performance, load, or security testing.
• Knowledge of cloud-based testing platforms.
• Familiarity with version control systems (Git).
• QA certifications (e.g., ISTQB, CSTE).

What We Offer

• Competitive salary and performance bonuses.
• Flexible working hours and remote options.
• Professional development opportunities
• Collaborative and innovative work environment.
• Flexibility in working arrangements.

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Key Responsibilities

• Conduct qualitative and quantitative research to support business strategy.
• Collect and analyze data from primary and secondary sources (surveys, reports, databases, market studies).
• Interpret data, identify trends, and prepare clear and concise reports.
• Develop dashboards, presentations, and visualizations to communicate findings.
• Support cross-functional teams with data-driven insights for decision-making.
• Monitor industry trends, competitor activities, and market dynamics.
• Ensure accuracy, validity, and reliability of collected data.
• Collaborate with stakeholders to define research objectives and methodologies.
• Stay updated with emerging research tools, statistical methods, and technologies.

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Economics, Statistics, Business, Data Science, or related field.
• Proven experience as a Research Analyst, Data Analyst, or similar role.
• Strong knowledge of research methodologies and data collection techniques.
• Proficiency in analytical tools (Excel, SPSS, R, Python, or SQL).
• Experience with data visualization tools (Power BI, Tableau, or similar).
• Excellent written and verbal communication skills.
• Strong attention to detail and critical thinking abilities.

Preferred Qualifications

• Experience in market research, financial research, or industry-specific analysis.
• Knowledge of survey design and statistical modeling.
• Familiarity with business intelligence and predictive analytics.
• Ability to manage multiple research projects simultaneously.

What We Offer

• Competitive salary and benefits package.
• Opportunities for professional growth and learning.
• Exposure to diverse industries and global projects.
• Collaborative and innovative work environment.

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Key Responsibilities

• Facilitate Scrum ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
• Act as a servant leader to the team, enabling collaboration and self-organization.
• Work closely with the Product Owner to refine and prioritize the product backlog.
• Identify, track, and remove impediments that hinder team progress.
• Promote agile best practices, frameworks, and principles across the organization.
• Shield the team from external distractions and unnecessary interruptions.
• Monitor team performance metrics and encourage continuous improvement.
• Coach team members and stakeholders on Agile/Scrum values, practices, and tools.
• Ensure transparency of progress, risks, and dependencies through effective reporting.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Business, or related field.
• Proven experience as a Scrum Master in agile software development environments.
• Strong knowledge of Agile methodologies (Scrum, Kanban, SAFe).
• Familiarity with agile tools such as JIRA, Confluence, or Rally.
• Excellent facilitation, conflict resolution, and coaching skills.
• Strong communication and interpersonal skills.

Preferred Qualifications

• Certified Scrum Master (CSM), Professional Scrum Master (PSM), or equivalent certification.
• Experience working with distributed or scaled agile teams.
• Background in software development, QA, or project management.

What We Offer

• Competitive salary and benefits package.
• Opportunities for training, certifications, and professional growth.
• A collaborative and agile-driven work environment.
• Flexibility and work-life balance.

Apply Now:If you're passionate about building the future in the cloud, we'd love to hear from you.

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Key Responsibilities

• Collect, clean, and validate large datasets from multiple sources.
• Analyze data to identify trends, patterns, and insights that support business objectives.
• Develop dashboards, reports, and visualizations to communicate findings.
• Work closely with business teams to define data requirements and KPIs.
• Support strategic decision-making with data models, forecasts, and statistical analysis.
• Ensure data accuracy, integrity, and compliance with organizational standards.
• Collaborate with cross-functional teams including product, marketing, finance, and operations.
• Automate data processes and reporting pipelines where possible.
• Stay updated with emerging tools and best practices in data analytics.

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Economics, or related field.
• Proven experience as a Data Analyst or in a similar analytical role.
• Strong skills in SQL and experience with relational databases.
• Proficiency in analytical tools (Excel, R, Python, or SAS).
• Experience with data visualization platforms (Tableau, Power BI, or Looker).
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to present technical insights in a business-friendly manner.

Preferred Qualifications

• Knowledge of machine learning basics and predictive modeling.
• Familiarity with cloud platforms (AWS, Azure, GCP) and data warehouses (Snowflake, Redshift, BigQuery).
• Exposure to ETL tools and data pipeline design.

Benefits

• Competitive salary and performance bonuses
• Flexible working hours and remote options
• Opportunities for continuous learning and career growth.
• Exposure to diverse projects and business domains.
• Dynamic and inclusive work culture

Apply Now:If you're passionate about building the future in the cloud, we'd love to hear from you.

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Key Responsibilities

• Design, train, and fine-tune large language models (LLMs) and generative AI systems.
• Develop APIs and scalable solutions integrating LLMs into products and services.
• Experiment with prompt engineering, model optimization, and retrieval-augmented generation (RAG).
• Work with structured and unstructured data to train domain-specific models.
• Build pipelines for data preprocessing, model training, evaluation, and deployment.
• Research and evaluate emerging AI techniques and frameworks to enhance system capabilities.
• Collaborate with product, engineering, and research teams to deliver AI-driven features.
• Implement responsible AI practices, including fairness, transparency, and security.
• Monitor performance, latency, and reliability of deployed AI solutions.
• Document research findings, model behavior, and system architecture.

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Proven experience with machine learning, natural language processing (NLP), and deep learning.
• Hands-on experience with frameworks like TensorFlow, PyTorch, Hugging Face Transformers.
• Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.
• Knowledge of LLMs (GPT, LLaMA, Falcon, Mistral, etc.) and generative models (GANs, Diffusion).
• Understanding of distributed training, GPUs/TPUs, and model optimization.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.

Preferred Qualifications

• Experience in fine-tuning and deploying open-source LLMs.
• Knowledge of vector databases, embeddings, and retrieval techniques.
• Familiarity with reinforcement learning from human feedback (RLHF).
• Contributions to open-source AI/ML projects.
• Publications or research in AI, NLP, or generative models.

What We Offer

• Competitive salary and benefits.
• Opportunities to work on cutting-edge generative AI projects.
• Training and certifications in advanced AI technologies.
• Collaborative and research-driven work culture.
• Dynamic and inclusive work culture.

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Key Responsibilities

• Manage end-to-end recruitment, onboarding, and employee lifecycle processes.
• Develop and implement HR policies and ensure compliance with labor laws.
• Maintain employee records and HR systems (HRMS/HRIS).
• Oversee payroll, benefits administration, and employee welfare initiatives.
• Coordinate performance management processes, including goal setting and appraisals.
• Design and execute employee engagement and retention strategies.
• Provide guidance and support to employees and managers on HR-related matters.
• Handle employee relations issues with fairness, confidentiality, and professionalism.
• Support training, learning, and career development programs.
• Generate HR reports and analytics for decision-making.

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Human Resources, Business Administration, or related field.
• Proven experience as an HR Executive, HR Generalist, or HR Manager (depending on role level).
• Strong knowledge of HR policies, labor laws, and compliance requirements.
• Excellent communication, interpersonal, and conflict resolution skills.
• Proficiency in MS Office and HR software tools (ATS, payroll systems, HRMS).
• Strong organizational and multitasking abilities.

Preferred Qualifications

• Professional HR certifications (e.g., SHRM, PHR, CIPD).
• Experience in organizational development and change management.
• Knowledge of HR analytics and data-driven HR strategies.

Benefits

• Competitive compensation and benefits.
• Opportunities for career growth and professional development.
• A collaborative and inclusive workplace culture.
• Flexibility and work-life balance.

Apply Now:If you're passionate about building the future in the cloud, we'd love to hear from you.

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Key Responsibilities

• Design, deploy, and manage cloud infrastructure across AWS, Azure, or Google Cloud.
• Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
• Develop and maintain CI/CD pipelines for cloud-native applications.
• Optimize cloud systems for performance, scalability, reliability, and cost-efficiency.
• Ensure compliance with cloud security best practices (IAM, encryption, monitoring).
• Automate infrastructure provisioning, monitoring, and deployments.
• Collaborate with software engineering, security, and operations teams.
• Troubleshoot cloud-related issues and ensure minimal downtime.
• Stay updated on emerging cloud technologies, tools, and trends.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• Proven experience with cloud platforms (AWS, Azure, GCP).
• Strong understanding of cloud networking, storage, and compute services.
• Experience with containers and orchestration (Docker, Kubernetes).
• Proficiency in scripting/programming languages (Python, Bash, Go, PowerShell).
• Knowledge of monitoring/logging tools (CloudWatch, Prometheus, Grafana, ELK).
• Familiarity with DevOps practices and CI/CD pipelines.

Preferred Qualifications

• Cloud certifications (AWS Solutions Architect, Azure Administrator, GCP Cloud Engineer).
• Knowledge of hybrid and multi-cloud strategies.
• Exposure to big data, AI/ML, or cloud-native analytics services.

What We Offer

• Competitive salary and benefits package.
• Opportunities for cloud certifications and training.
• Cutting-edge projects in cloud-native and digital transformation.
• Flexible and collaborative work environment.

Apply Now:If you're passionate about building the future in the cloud, we'd love to hear from you.

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