At the intersection of science and technology, Clovertex is a Life Sciences systems integrator specializing in architecting, building, automating, and managing scientific applications, databases, data lakes, and workflows using cloud computing technologies. Clovertex is an AWS Advanced Tier Partner. Our team has deep scientific domain experience and specializes in providing both IT and science-related services. To know more about us: www.clovertex.com Job Title: Full-Stack AI Developer (Generative AI & LLMs) Location: Hyderabad Job Description: We seek a highly skilled Full-Stack AI Developer to lead the development of cutting-edge AI solutions, specializing in generative AI and large language models (LLMs). You will be responsible for building end-to-end applications, from designing intuitive front-end to training and deploying robust backend models. Responsibilities: Front-End Development: Design and implement user-friendly interfaces for AI applications. Utilize modern web frameworks (e.g., React, Vue.js) to create engaging user experiences. Optimize front-end performance and responsiveness. Back-End Development: Build scalable and efficient backend systems to support AI model deployment. Design and implement RESTful APIs for seamless communication between front-end and back-end. Integrate with cloud platforms (e.g., AWS, Azure) for infrastructure management. AI Model Development: Train and fine-tune state-of-the-art generative AI and LLM models. Leverage deep learning frameworks (e.g., TensorFlow, PyTorch) for model development. Implement efficient inference pipelines for real-time model predictions. Data Engineering: Design and maintain robust data pipelines for model training and evaluation. Preprocess and clean large-scale datasets for optimal model performance. Implement data versioning and monitoring strategies. Preferred Qualifications: Graduate degree in Computer Science, Artificial Intelligence, or a related field. 5+ years of experience in full-stack development. 2+ years of experience in AI model development, particularly with generative AI and LLMs. Strong understanding of machine learning algorithms and natural language processing. Proficiency in Python and relevant AI frameworks (e.g., TensorFlow, PyTorch). Skills: Excellent communication and collaboration skills. Ability to work independently and in a team environment. Passion for staying updated with the latest advancements in AI. Bonus Points: Experience in the Biopharma industry. Experience with model optimization techniques (e.g., quantization, pruning). Contributions to open-source AI projects. Publications in relevant AI conferences or journals. Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees. Join our team and contribute to building cutting-edge software solutions that drive innovation and deliver exceptional value to our customers. If you are passionate about technology and enjoy working in a collaborative environment, we want to hear from you!
8+ years experience in Administration of MS SQL Server 2019, 2016, 2012, 2008 R2 and 2008 on standalone and cluster servers, SQL Always On. Strong DBA production supports an database upgrade/migration experience. Experience in database security management. Experience in in place upgrade and side by side upgrade and upgrade/migration to new hardware. Implementing and administration of backup/restoration, disaster recovery, High availability solution. Capacity management, Monitoring of overall health of servers in different environments. Analyzing data issues and providing fixes. Leading team level initiatives/process improvements/automation Releasing code changes and schema changes to production. Strong written and oral communication skills. Experienced in AWS (RDS, EC2, s3, instance migration/upgradation, RDS snapshot/cloning/restoration). Knowledge in AWS VPC, security, DMS. ITIL - Incident/Request/Change/Problem management Primary & Secondary Skills MSSQL Amazon RDS MongoDB basic administration Overall AWS services Power-shell scripting
Job Role: Senior Data Engineer Location: Hyderabad Experience Required: 5 - 7 years Job Type: Full-Time No of Positions: 01 We are looking for a skilled Data Engineer with a strong background in Oracle Cloud Infrastructure (OCI) and Oracle Data Integration tools . The ideal candidate will have hands-on experience in building, automating, and managing robust Data Warehousing and ETL solutions. Key Responsibilities Design and implement scalable Data Warehouse and Data Lake architectures using Oracle ADW, OCI Object Storage, and Data Catalog. Build and maintain ETL pipelines using Oracle Data Integrator (ODI), OCI Data Integration and Informatica services. Understanding Data Warehousing and Dimensional Modelling concepts very well. Develop and automate data processing workflows using Python, SQL, and PL/SQL. Support data validation, ingestion, transformation, and publishing processes. Optimize performance and cost of data infrastructure on OCI. Collaborate with business and analytics teams to define data models, KPIs, and metrics. Implement data governance, security policies, and compliance standards (GxP, HIPAA, etc.). Work in an Agile/Scrum environment to support project deliverables and production support. Qualifications & Skills Strong experience in Oracle Cloud Infrastructure (OCI): Object Storage, ADW, Data Catalog, Data Integration. Hands-on with ODI, Oracle Autonomous Database, and OIC (Oracle Integration Cloud). Strong skills in SQL, PL/SQL, Python, and data transformation logic. Experience with Shell scripting, Scheduling tools. Knowledge of Data lineage, Data Quality Frameworks, and Master Data Management. Familiarity with reporting/visualization tools like Tableau or APEX. Exposure to CI/CD, Git, and DevOps practices in a cloud data engineering setup. Preferred Qualifications Bachelor’s degree in Computer Science, Engineering, or related field. Oracle Certified Professional (OCP) or OCI Data Engineer certification is a plus. Experience in Life Sciences/Pharma, BFSI, or Regulatory Data domains.
8+ years experience in Administration of MS SQL Server 2019, 2016, 2012, 2008 R2 and 2008 on standalone and cluster servers, SQL Always On. Strong DBA production supports an database upgrade/migration experience. Experience in database security management. Experience in in place upgrade and side by side upgrade and upgrade/migration to new hardware. Implementing and administration of backup/restoration, disaster recovery, High availability solution. Capacity management, Monitoring of overall health of servers in different environments. Analyzing data issues and providing fixes. Leading team level initiatives/process improvements/automation Releasing code changes and schema changes to production. Strong written and oral communication skills. Experienced in AWS (RDS, EC2, s3, instance migration/upgradation, RDS snapshot/cloning/restoration). Knowledge in AWS VPC, security, DMS. ITIL - Incident/Request/Change/Problem management Primary & Secondary Skills MSSQL Amazon RDS MongoDB basic administration Overall AWS services Power-shell scripting
Job Role: Senior Data Engineer Location: Hyderabad Experience Required: 5 - 7 years Job Type: Full-Time No of Positions: 01 We are looking for a skilled Data Engineer with a strong background in Oracle Cloud Infrastructure (OCI) and Oracle Data Integration tools . The ideal candidate will have hands-on experience in building, automating, and managing robust Data Warehousing and ETL solutions. Key Responsibilities Design and implement scalable Data Warehouse and Data Lake architectures using Oracle ADW, OCI Object Storage, and Data Catalog. Build and maintain ETL pipelines using Oracle Data Integrator (ODI), OCI Data Integration and Informatica services. Understanding Data Warehousing and Dimensional Modelling concepts very well. Develop and automate data processing workflows using Python, SQL, and PL/SQL. Support data validation, ingestion, transformation, and publishing processes. Optimize performance and cost of data infrastructure on OCI. Collaborate with business and analytics teams to define data models, KPIs, and metrics. Implement data governance, security policies, and compliance standards (GxP, HIPAA, etc.). Work in an Agile/Scrum environment to support project deliverables and production support. Qualifications & Skills Strong experience in Oracle Cloud Infrastructure (OCI): Object Storage, ADW, Data Catalog, Data Integration. Hands-on with ODI, Oracle Autonomous Database, and OIC (Oracle Integration Cloud). Strong skills in SQL, PL/SQL, Python, and data transformation logic. Experience with Shell scripting, Scheduling tools. Knowledge of Data lineage, Data Quality Frameworks, and Master Data Management. Familiarity with reporting/visualization tools like Tableau or APEX. Exposure to CI/CD, Git, and DevOps practices in a cloud data engineering setup. Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or related field. Oracle Certified Professional (OCP) or OCI Data Engineer certification is a plus. Experience in Life Sciences/Pharma, BFSI, or Regulatory Data domains.
We are seeking a talented AI / ML Engineer to design, develop, and deploy machine learning and AI-driven applications on AWS Cloud . The role involves building scalable ML pipelines, training and tuning models, and operationalizing AI solutions that enhance data-driven decision-making across research, clinical, and enterprise use cases. Key Responsibilities Design and develop machine learning models for predictive analytics, classification, and anomaly detection. Implement NLP and computer vision solutions for scientific, clinical, and document intelligence use cases. Build and manage end-to-end MLOps pipelines for model training, deployment, and monitoring. Integrate AI models into business applications and APIs for seamless consumption by data products. Monitor model performance, retrain as necessary, and ensure explainability and compliance with governance standards. Work collaboratively with data engineers, data scientists, and DevOps teams to optimize workflows. Ensure adherence to HIPAA, GxP, and 21 CFR Part 11 data compliance standards in AI environments. Technical Skills Core ML & AI Services: Amazon SageMaker, SageMaker Pipelines, SageMaker Studio Generative AI & NLP: Amazon Bedrock, Amazon Comprehend Medical, Amazon Textract, Hugging Face Data Processing & Automation: AWS Glue, Lambda, Step Functions, EventBridge Model Deployment: API Gateway, ECS/EKS for scalable inference endpoints Proficiency in Python, with experience using TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers Strong understanding of MLOps, model monitoring, and CI/CD for ML workflows Familiarity with AWS Security tools (IAM, KMS, CloudTrail) and governance frameworks Qualifications & Experience Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field 5+ years of experience in machine learning engineering, data science, or AI solution development Proven experience building and deploying production-grade ML models on AWS Strong understanding of ML lifecycle management, data preprocessing, and feature engineering Experience collaborating in Agile environments with cross-functional data and engineering teams Preferred Qualifications Experience in life sciences, healthcare, or pharmaceutical analytics Familiarity with bioinformatics or clinical data modeling AWS Certified Machine Learning – Specialty or AWS Certified AI Practitioner Knowledge of AI ethics, model explainability, and responsible AI principles
We are seeking a highly skilled Application Developer (Backend) with strong hands-on experience in full stack development and a focus on back-end architecture. The ideal candidate will design, develop, and optimize cloud-native applications leveraging modern frameworks and AWS data services to support research, clinical, and analytics platforms. Key Responsibilities Design and develop scalable backend services and RESTful APIs using Python and AWS services. Build and maintain data-driven applications integrating DynamoDB, PostgreSQL, and Amazon Neptune for complex relational and graph data. Collaborate with front-end developers (React) to ensure seamless API integration and data flow. Implement authentication, authorization, and audit logging for secure data access. Optimize performance, scalability, and cost-efficiency of backend systems. Participate in code reviews, testing, and CI/CD deployment pipelines. Work closely with DevOps and data teams to ensure smooth integration and operational reliability. Technical Skills Backend Development: Python (Flask, FastAPI, or Django), Node.js (optional) Frontend Collaboration: React, JavaScript/TypeScript Databases: DynamoDB, PostgreSQL, Amazon Neptune (Graph DB) AWS Services: Lambda, API Gateway, ECS/EKS, S3, CloudWatch Version Control & CI/CD: GitHub, CodeCommit, CodeBuild, CodePipeline Proficiency in RESTful API design, data modeling, and query optimization Experience with microservices architecture and serverless deployments Qualifications & Experience Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field 5+ years of experience in backend or full stack development Strong programming expertise in Python and experience integrating with AWS-native data services Deep understanding of database design, indexing, and performance tuning Familiarity with Agile development and DevOps workflows Preferred Qualifications Experience developing enterprise or life sciences web applications Familiarity with Graph data models using Amazon Neptune Exposure to AWS CloudFormation, Terraform, or serverless architecture AWS Certified Developer – Associate or equivalent certification
We are seeking an enthusiastic AWS Data Engineer to support the design, development, and maintenance of cloud-based data lakes , data warehouses , and analytics platforms . The ideal candidate is eager to learn, collaborates effectively with cross-functional teams, and possesses a solid foundation in AWS data services , ETL development , and data modeling . Key Responsibilities Design, develop, and maintain data pipelines and ETL workflows on AWS. Assist in building and managing data lakes and data warehouses for analytical and operational workloads. Support data ingestion, transformation, and integration from multiple sources. Collaborate with data architects and analysts to ensure data models align with business requirements. Implement data validation, monitoring, and logging mechanisms to ensure pipeline reliability. Work with cloud and DevOps teams to automate deployments using CI/CD frameworks. Ensure data security, governance, and compliance within AWS cloud environments. Qualifications & Skills AWS Data Services: S3, Glue, Lake Formation, Redshift, Athena, Lambda ETL Development: AWS Glue (PySpark), SQL, or Python-based frameworks Data Modeling: Dimensional modeling, star/snowflake schema design Analytics & Query Tools: Redshift Spectrum, Athena, QuickSight (optional) Data Integration: API, CSV, Parquet, and streaming data ingestion Version Control & CI/CD: GitHub, CodeBuild, CodePipeline. Foundational understanding of IAM, KMS, and AWS security best practices Data Governance and Data Quality experience is must. Preferred Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field 3–4 years of experience in data engineering or cloud data platform development Hands-on experience with AWS data and analytics services Solid understanding of ETL workflows, data pipelines, and data modeling principles Strong problem-solving, communication, and teamwork skills. Exposure to Life Sciences, Healthcare, or Pharmaceutical data environments Familiarity with GxP and HIPAA compliance for cloud data platforms AWS Certified Data Analytics – Specialty or AWS Certified Developer – Associate
At the intersection of science and technology, Clovertex is a Life Sciences systems integrator specializing in architecting, building, automating, and managing scientific applications, databases, data lakes, and workflows using cloud computing technologies. Clovertex is an AWS Advanced Tier Partner. Our team has deep scientific domain experience and specializes in providing both IT and science-related services. To know more about us: CLOVERTEX.COM Job Role: Software Engineer – Full Stack Location: Hyderabad Experience Required: 1-3 years Job Type: Full-Time No of Positions: 01 About The Role We are looking for a Software Engineer – Full Stack who will contribute to the development, enhancement, and deployment of the NUMEN platform. The platform supports scientific computing workloads and enterprise applications running on AWS, with UI workflows built using modern frontend frameworks. The candidate will work closely with backend, DevOps, and product teams to build scalable features, automate workflows, and improve end-user experience. Key Responsibilities Frontend Development Develop and enhance user interfaces using React, JavaScript/TypeScript, HTML, and CSS Implement responsive UI components and dashboards to support scientific workflows Collaborate with design/UX teams to improve user experience Backend Development Build APIs and microservices using Python (Django/FastAPI/Flask) Work with Node.js services for backend logic and data processing Develop scalable service integrations using REST / gRPC Cloud & Infrastructure Deploy applications in AWS (EC2, S3, IAM, Lambda, EKS preferred) Work with Kubernetes for container orchestration and service scaling Implement Infrastructure-as-Code using Terraform Use boto3 / AWS SDK for backend integrations Required Skills Area Skills Frontend React, JavaScript/TypeScript, HTML/CSS Backend Python (Django/FastAPI), Node.js AWS Cloud AWS, Kubernetes (EKS), Docker, Terraform Version Control / CI GitHub, GitHub Actions (or similar CI/CD pipelines) Preferred Experience Exposure to platform-based product development (SaaS or internal platforms) Experience integrating APIs, authentication/authorization, and role-based access Soft Skills Strong problem-solving and debugging skills Ability to learn new tools and technologies quickly Clear communication and team collaboration skills Qualifications & Experience Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field Strong programming expertise in Python and experience integrating with AWS-native data services Familiarity with Agile development Benefits We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work models. Health insurance and benefits for the employees and dependents. Additional Information Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees
We are seeking a highly skilled Application Developer (Backend) with strong hands-on experience in full stack development and a focus on back-end architecture. The ideal candidate will design, develop, and optimize cloud-native applications leveraging modern frameworks and AWS data services to support research, clinical, and analytics platforms. Key Responsibilities Design and develop scalable backend services and RESTful APIs using Python and AWS services. Build and maintain data-driven applications integrating DynamoDB, PostgreSQL, and Amazon Neptune for complex relational and graph data. Collaborate with front-end developers (React) to ensure seamless API integration and data flow. Implement authentication, authorization, and audit logging for secure data access. Optimize performance, scalability, and cost-efficiency of backend systems. Participate in code reviews, testing, and CI/CD deployment pipelines. Work closely with DevOps and data teams to ensure smooth integration and operational reliability. Technical Skills Backend Development: Python (Flask, FastAPI, or Django), Node.js (optional) Frontend Collaboration: React, JavaScript/TypeScript Databases: DynamoDB, PostgreSQL, Amazon Neptune (Graph DB) AWS Services: Lambda, API Gateway, ECS/EKS, S3, CloudWatch Version Control & CI/CD: GitHub, CodeCommit, CodeBuild, CodePipeline Proficiency in RESTful API design, data modeling, and query optimization Experience with microservices architecture and serverless deployments Qualifications & Experience Bachelor's or Master's degree in Computer Science, Information Technology, or a related field 5+ years of experience in backend or full stack development Strong programming expertise in Python and experience integrating with AWS-native data services Deep understanding of database design, indexing, and performance tuning Familiarity with Agile development and DevOps workflows Preferred Qualifications Experience developing enterprise or life sciences web applications Familiarity with Graph data models using Amazon Neptune Exposure to AWS CloudFormation, Terraform, or serverless architecture AWS Certified Developer Associate or equivalent certification
We are seeking a talented AI / ML Engineer to design, develop, and deploy machine learning and AI-driven applications on AWS Cloud . The role involves building scalable ML pipelines, training and tuning models, and operationalizing AI solutions that enhance data-driven decision-making across research, clinical, and enterprise use cases. Key Responsibilities Design and develop machine learning models for predictive analytics, classification, and anomaly detection. Implement NLP and computer vision solutions for scientific, clinical, and document intelligence use cases. Build and manage end-to-end MLOps pipelines for model training, deployment, and monitoring. Integrate AI models into business applications and APIs for seamless consumption by data products. Monitor model performance, retrain as necessary, and ensure explainability and compliance with governance standards. Work collaboratively with data engineers, data scientists, and DevOps teams to optimize workflows. Ensure adherence to HIPAA, GxP, and 21 CFR Part 11 data compliance standards in AI environments. Technical Skills Core ML & AI Services: Amazon SageMaker, SageMaker Pipelines, SageMaker Studio Generative AI & NLP: Amazon Bedrock, Amazon Comprehend Medical, Amazon Textract, Hugging Face Data Processing & Automation: AWS Glue, Lambda, Step Functions, EventBridge Model Deployment: API Gateway, ECS/EKS for scalable inference endpoints Proficiency in Python, with experience using TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers Strong understanding of MLOps, model monitoring, and CI/CD for ML workflows Familiarity with AWS Security tools (IAM, KMS, CloudTrail) and governance frameworks Qualifications & Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field 5+ years of experience in machine learning engineering, data science, or AI solution development Proven experience building and deploying production-grade ML models on AWS Strong understanding of ML lifecycle management, data preprocessing, and feature engineering Experience collaborating in Agile environments with cross-functional data and engineering teams Preferred Qualifications Experience in life sciences, healthcare, or pharmaceutical analytics Familiarity with bioinformatics or clinical data modeling AWS Certified Machine Learning Specialty or AWS Certified AI Practitioner Knowledge of AI ethics, model explainability, and responsible AI principles
Clovertex is a fast-growing IT organization specializing in cloud, data, AI, and digital transformation services for global enterprises. We focus on building scalable, modern, and secure digital solutions while delivering meaningful business outcomes. To know more about us: CLOVERTEX.COM Job Role: Junior Web Developer & Digital Marketing Content Creator Location: Hyderabad Experience Required: 1-3 years Job Type: Full-Time No of Positions: 01 About The Role We are seeking a dynamic Junior Web Developer & Digital Marketing Content Creator to enhance our web presence, strengthen brand visibility, and support creative digital initiatives. Key Responsibilities Web Development & Maintenance Maintain, update, and optimize the Clovertex website across service and product lines. Ensure website performance, responsiveness, and cross-browser compatibility. Collaborate with internal teams to publish new service pages, case studies, and announcements. Troubleshoot UI/UX or backend website issues and deploy timely fixes. Implement on-page and technical SEO best practices to improve rankings and visibility. Digital Marketing & Content Creation Create engaging content for website, social media, newsletters, and email campaigns. Support social media scheduling, posting, engagement monitoring, and performance analytics. Assist in running digital marketing campaigns (Google Ads, LinkedIn Ads). Design visual content including banners, promotional creatives, and short form videos. Ensure consistent brand tone, messaging, and identity across digital platforms. Branding & Creative Strategy Contribute new ideas for digital brand storytelling and engagement. Take part in brainstorming sessions for brand and marketing initiatives. Support internal communications, product launch updates, and corporate events. Required Skills Bachelor’s degree in Computer Science, Marketing, Mass Communication, or related fields. 1–3 years of experience in web development and/or digital marketing roles. Proficiency in HTML, CSS, JavaScript, and working experience with WordPress or similar CMS. Basic knowledge of SEO, Google Analytics, and performance tracking tools. Experience using Canva or Adobe Creative Suite for design and content creation. Strong written communication, creativity, and attention to detail. Benefits. We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work models. Health insurance and benefits for the employees and dependents. Additional Information Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees
Position Overview We are seeking a highly skilled AWS Architect to design, implement, and optimize scalable, secure, and cost-effective cloud solutions on Amazon Web Services (AWS). The ideal candidate will have deep expertise in AWS services, cloud-native architectures, and DevOps practices, along with the ability to align technology solutions with business objectives. Key Responsibilities Architecture & Design Design and implement secure, scalable, and highly available AWS cloud architectures. Define best practices and strategies for cloud adoption, migration, and modernization. Create architectural diagrams, documentation, and reference architectures. Cloud Solutions Development Build and deploy cloud-native applications leveraging AWS services (EC2, S3, RDS, Lambda, ECS, EKS, etc.). Lead infrastructure automation using tools like Terraform, AWS CloudFormation, or CDK. Integrate AWS solutions with enterprise systems, CI/CD pipelines, and APIs. Governance & Security Implement security best practices across IAM, VPC, encryption, and compliance (HIPAA, GDPR, GxP, etc.). Conduct architecture reviews, risk assessments, and compliance checks. Performance & Cost Optimization Monitor, optimize, and fine-tune cloud infrastructure for performance, scalability, and cost efficiency. Provide recommendations for AWS cost management and resource optimization. Collaboration & Leadership Partner with business stakeholders, engineering teams, and leadership to align cloud strategy with organizational goals. Mentor and guide development/operations teams on AWS best practices. Stay updated on AWS service releases, trends, and innovations. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 8+ years of IT experience with at least 4+ years in AWS cloud architecture and engineering. Strong hands-on expertise in core AWS services (EC2, S3, Lambda, RDS, DynamoDB, ECS, EKS, CloudFront, etc.). Experience with Infrastructure as Code (IaC) – Terraform, AWS CloudFormation, or AWS CDK. Strong knowledge of networking (VPC, Route 53, Direct Connect, VPN, Load Balancers). Expertise in cloud security, IAM policies, and compliance standards. Experience with CI/CD tools (Jenkins, GitLab CI, AWS CodePipeline). Familiarity with containerization and orchestration (Docker, Kubernetes, EKS). Excellent problem-solving, communication, and stakeholder management skills. Preferred Qualifications AWS Certified Solutions Architect – Professional (strongly preferred). AWS Certified Security/Specialty certifications. Experience in multi-cloud or hybrid-cloud strategies. Domain knowledge in life sciences, pharma, or regulated industries (plus point). What We Offer Opportunity to architect mission-critical cloud solutions. Work with cutting-edge AWS services and emerging technologies (AI/ML, Serverless, Agentic AI). Collaborative and innovative work culture. Career growth through certifications, training, and leadership opportunities. Competitive salary and comprehensive benefits package. Certification reimbursement for and Cloud technologies. Hybrid work model supporting work-life balance. Health insurance coverage for employees and their dependents. Additional Information Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees.
Clovertex is a fast-growing IT organization specializing in cloud, data, AI, and digital transformation services for global enterprises. We focus on building scalable, modern, and secure digital solutions while delivering meaningful business outcomes. To know more about us: CLOVERTEX.COM Job Role: Junior Web Developer & Digital Marketing Content Creator Location: Hyderabad Experience Required: 1-3 years Job Type: Full-Time No of Positions: 01 About The Role We are seeking a dynamic Junior Web Developer & Digital Marketing Content Creator to enhance our web presence, strengthen brand visibility, and support creative digital initiatives. Key Responsibilities Web Development & Maintenance Maintain, update, and optimize the Clovertex website across service and product lines. Ensure website performance, responsiveness, and cross-browser compatibility. Collaborate with internal teams to publish new service pages, case studies, and announcements. Troubleshoot UI/UX or backend website issues and deploy timely fixes. Implement on-page and technical SEO best practices to improve rankings and visibility. Digital Marketing & Content Creation Create engaging content for website, social media, newsletters, and email campaigns. Support social media scheduling, posting, engagement monitoring, and performance analytics. Assist in running digital marketing campaigns (Google Ads, LinkedIn Ads). Design visual content including banners, promotional creatives, and short form videos. Ensure consistent brand tone, messaging, and identity across digital platforms. Branding & Creative Strategy Contribute new ideas for digital brand storytelling and engagement. Take part in brainstorming sessions for brand and marketing initiatives. Support internal communications, product launch updates, and corporate events. Required Skills Bachelor's degree in Computer Science, Marketing, Mass Communication, or related fields. 13 years of experience in web development and/or digital marketing roles. Proficiency in HTML, CSS, JavaScript, and working experience with WordPress or similar CMS. Basic knowledge of SEO, Google Analytics, and performance tracking tools. Experience using Canva or Adobe Creative Suite for design and content creation. Strong written communication, creativity, and attention to detail. Benefits. We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work models. Health insurance and benefits for the employees and dependents. Additional Information Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees