Sales Account Executive

Position: Lead Database Engineer

Experience: 3+ Years

Mandatory Skills: Amazon Aurora PostgreSQL, MySQL, NoSQL, AWS RDS, DMS, Performance Tuning, Replication Strategies, Query Optimization

Job Description:

• Database Administration: Manage and administer Amazon Aurora PostgreSQL, MySQL, and NoSQL databases, ensuring high availability, performance, and security.
• AWS Expertise: Proficient in AWS services such as RDS, Aurora, and DMS, with a strong understanding of cloud database architectures.
• Optimization: Implement optimization strategies at the database, query, collection, and table levels for PostgreSQL/MySQL. Expertise in performance monitoring and tuning.
• Configuration Management: Configure and fine-tune RDS parameter groups to enhance database performance and security.
• Monitoring & Troubleshooting: Proactively monitor database performance, identify bottlenecks, and perform root cause analysis (RCA) for issues.
• Access Control: Manage PostgreSQL/MySQL user permissions and roles, ensuring strict data security and access control protocols.
• Replication Strategies: Hands-on experience with master-master and master-slave replication setups.
• Collaboration: Work closely with development teams to provide guidance on database design, query optimization, and performance tuning.
• Backup & Recovery: Establish and maintain robust backup and recovery procedures to ensure data integrity and availability.
• Database Upgrades: Perform major version upgrades for MySQL and PostgreSQL to leverage new features and improvements.
• Problem Solving: Troubleshoot and resolve complex database performance issues, implementing innovative and effective solutions.

Note: Expertise in database performance tuning, AWS database services, and advanced replication strategies is essential.

Job Description for Associate Database Engineer

Job Title: Associate Database Engineer

Company: Mydbops

About us:

As a seasoned industry leader for 8 years in open-source database management, we specialise in providing unparalleled solutions and services for MySQL, MariaDB, MongoDB, PostgreSQL, TiDB, Cassandra, and more. At Mydbops, we are committed to providing exceptional service and building lasting relationships with our customers. Our Customer Account Management team is vital in ensuring client satisfaction and loyalty.

Role Overview:

We are seeking an enthusiastic and skilled Associate Database Engineer to join our growing team. This role focuses on cloud-based MySQL solutions and requires hands-on experience in managing, securing, and optimising relational databases in leading cloud platforms such as AWS and Google Cloud.

The ideal candidate will have a passion for automation, cost optimisation, and cloud-native database best practices.

Key Responsibilities:

• Manage and optimise MySQL databases in cloud environments, including AWS RDS for MySQL, Amazon Aurora, and Google Cloud SQL for MySQL.
• Implement and enhance security measures for cloud database services (DBaaS), including encryption, IAM integration, and network controls.
• Execute cloud operations efficiently using AWS CLI and other automation tools.
• Design and implement cloud backup solutions, ensuring reliability, compliance, and recovery readiness.
• Lead and support database migrations and cutover activities with minimal downtime
• Apply best practices in cost optimisation across various cloud MySQL services, balancing performance and budget.
• Proactively identify opportunities for automation in routine cloud database tasks and processes.
• Demonstrate innovative thinking with a continuous improvement mindset for database operations and cloud solutions.
• Management of Cloud infrastructure using Terraform.
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Required Skills:

• Solid knowledge of MySQL on AWS and GCP cloud platforms
• Understanding of cloud DBaaS security enhancements (e.g., encryption at rest/in transit, IAM, VPC peering)
• Proficiency with AWS CLI for managing database resources and services
• Experience in cloud backup strategies and disaster recovery planning
• Hands-on experience with migration and cutover techniques in cloud databases (ex: Blue green deployment, DMS)
• Familiarity with cost optimisation approaches for cloud-based MySQL deployments
• Strong inclination towards automation and scripting in cloud environments
• Creative problem-solver with a focus on innovation and operational efficiency

Preferred Qualifications:

• AWS Certification (e.g., AWS Certified Database – Speciality) is a strong plus
• Exposure to additional cloud platforms like Azure Database for MySQL is an advantage

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work with a dynamic and innovative team.
• Professional growth and development opportunities.
• Collaborative and inclusive work environment.

Job Details:

• Work time: General shift
• Mode of Employment - Work From Home
• Experience - 1 to 2 years

Full Stack Development:

● Develop, test, and deploy high-quality software solutions across front-end and back-end stacks.

● Implement responsive and dynamic web applications using JavaScript, Angular, or React. 

● Ensure backend services and APIs are well-structured and optimized for performance. 

Collaboration and Stakeholder Management: 

● Work closely with product managers, designers, and engineers to define technical requirements. 

● Participate in code reviews and provide technical mentorship to junior developers. 

Technical Expertise:

● Implement and maintain secure, scalable, and high-performance applications. 

● Ensure applications meet non-functional requirements such as security, reliability, and performance.

 Agile Execution & Continuous Improvement: 

● Contribute to Agile development practices, including iterative releases and continuous integration. 

● Identify opportunities for technical improvements and optimize existing features  

 Required Skills and Qualifications 

● Bachelor’s/Master’s degree in Computer Science, Information Technology, or a related field. 

● 6+ years of professional experience in Full Stack Development. 

● Strong proficiency in Java, JavaScript, Angular, React, and RESTful APIs. 

● Experience with CI/CD pipelines and DevOps tools for continuous deployment.

 ● Knowledge of containerization and cloud platforms such as AWS, Azure, or GCP. 

● Proficiency in databases such as MongoDB, SQL, and NoSQL. 

● Strong analytical, problem-solving, and debugging skills. 

● Experience with Agile frameworks like Scrum or Kanban.  

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

DESIRED SKILLS AND EXPERIENCE

 Strong analytical and problem-solving skills

 Ability to work independently, learn quickly and be proactive

 3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure

 Experience must include a combination of:

o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)

o Ability to write and maintain code in at least one scripting language (Python preferred)

o Practical knowledge of shell scripting

o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux

o Networking knowledge – Firewalls, VPNs, Load Balancers

o Web/Application servers, Nginx, JVM environments

o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.

o Familiarity with logging systems - Logstash, Elasticsearch, Kibana

o Git, Jenkins, Jira

• Deep knowledge in designing and developing C# .NET based Web applications (MVC, Web APIs).
• Design, develop, update and maintain product
• Proficiency in managing SQL Databases and writing optimised queries.
• Should be able to work independently on a project
• Experience in at least one of the frond-end frameworks - jQuery / Angular / VueJS / Etc..

• Knowledge on AWS or Azure or similar cloud environment knowledge is nice to have
• SaaS based Product development experience is an advantage
• Knowledge in Azure Functions or AWS Lambda is good to have

• Communicate with clients via phone / e-mail for requirement discussions, implementations & support.
• Very friendly and a challenging environment, where you get to work with the BEST of North American and UK clients with the latest technologies

 Position holder will be an individual contributor

 Build and manage productive, professional relationships with clients

using telephonic and/or video conversations

 Ensure clients are using and deriving benefit from IndiaMART

 Ensure products/services in client’s e-catalog are accurately defined

 Maximize revenue by upselling other services and achieve

fortnightly, monthly client retention and revenue targets

 Systematic follow-up and time-bound closures

 Prompt resolution of complaints

 Daily 10-15 meaningful telephone/video calls with clients