Online Sales Executive

Job Title: Associate Professor – Computer Science Engineering (CSE)

Department: CSE

Job Summary:

The Associate Professor (CSE) is responsible for teaching core computer science subjects, training students in programming and emerging technologies, and contributing to research and academic excellence.

Key Responsibilities:

• Teach subjects like Data Structures, Algorithms, DBMS, Operating Systems, and Programming Languages
• Train students in coding, software development, and industry-relevant skills
• Conduct lab sessions, workshops, and technical training programs
• Evaluate students through exams, assignments, and projects
• Guide students in internships, mini-projects, and final-year projects
• Participate in curriculum development and research activities

Qualifications:

• M.E./M.Tech in Computer Science or related field
• Ph.D. (preferred)
• NET/SET (if applicable)

Skills Required:

• Strong programming knowledge (Java, Python, C++, etc.)
• Teaching and technical training skills
• Knowledge of latest technologies (AI, Data Science, Cloud, etc.)
• Research and analytical skills

Experience:

• 3–8 years of teaching/industry experience

Job Description for PostgreSQL Lead

Job Title: PostgreSQL Lead

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

As the PostgreSQL Lead, you will own the design, implementation, and operational excellence of PostgreSQL environments. You’ll lead technical decision-making, mentor the team, interface with customers, and drive key initiatives covering performance tuning, HA architectures, migrations, and cloud deployments.

Key Responsibilities

• Lead PostgreSQL production environments: architecture, stability, performance, and scalability
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• Oversee complex troubleshooting, query optimization, and performance analysis
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• Architect and maintain HA/DR systems (e.g., Streaming Replication, Patroni, repmgr)
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• Define backup, recovery, replication, and failover protocols
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• Guide DB migrations, patches, and upgrades across environments
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• Collaborate with DevOps and cloud teams for infrastructure automation
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• Use monitoring (pg_stat_statements, PMM, Nagios or any monitoring stack) to proactively resolve issues
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• Provide technical mentorship—conduct peer reviews, upskill, and onboard junior DBAs
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• Lead customer interactions: understand requirements, design solutions, and present proposals
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• Drive process improvements and establish database best practices

Requirements

• Experience: 4-5 years in PostgreSQL administration, with at least 2+ years in a leadership role
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• Performance Optimization: Expert in query tuning, indexing strategies, partitioning, and execution plan analysis.
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• Extension Management: Proficient with critical PostgreSQL extensions including:
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• pg_stat_statements – query performance tracking
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• pg_partman – partition maintenance
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• pg_repack – online table reorganization
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• uuid-ossp – UUID generation
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• pg_cron – native job scheduling
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• auto_explain – capturing costly queries
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• Backup & Recovery: Deep experience with pgBackRest, Barman, and implementing Point-in-Time Recovery (PITR).
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• High Availability & Clustering: Proven expertise in configuring and managing HA environments using Patroni, repmgr, and streaming replication.
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• Cloud Platforms: Strong operational knowledge of AWS RDS and Aurora PostgreSQL, including parameter tuning, snapshot management, and performance insights.
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• Scripting & Automation: Skilled in Linux system administration, with advanced scripting capabilities in Bash and Python.
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• Monitoring & Observability: Familiar with pg_stat_statements, PMM, Nagios, and building custom dashboards using Grafana and Prometheus.
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• Leadership & Collaboration: Strong problem-solving skills, effective communication with stakeholders, and experience leading database reliability and automation initiatives.
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Preferred Qualifications

• Bachelor’s/Master’s degree in CS, Engineering, or equivalent
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• PostgreSQL certifications (e.g., EDB, AWS)
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• Consulting/service delivery experience in managed services or support roles
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• Experience in large-scale migrations and modernization projects
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• Exposure to multi-cloud environments and DBaaS platforms

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.
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Job Details:

• Work time: General shift
• Working days: 5 Days
• Mode of Employment - Work From Home
• Experience - 4-5 years

Position Summary

The GCP Senior Data Engineer is responsible for designing, building, optimizing, and maintaining high‑quality data pipelines and cloud‑native data platforms on Google Cloud Platform (GCP). This role partners closely with data analysts, data scientists, business teams, DevOps, and platform engineering to deliver secure, reliable, and scalable data solutions that support Trane Technologies’ digital strategy.

This position requires strong hands‑on engineering capabilities, cloud experience, and a passion for delivering enterprise‑grade data solutions.Qualifications

Education Requirements

• Bachelor’s /Master’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related technical field.

Experience Requirements

• 7+ years of total experience in data engineering, data platforms, or data‑centric software engineering.

• 5+ years of hands‑on experience designing and building data pipelines, ETL/ELT workflows, and cloud‑native data solutions.

• 3+ years of direct experience with Google Cloud Platform (GCP) using services such as BigQuery, Cloud Storage, Cloud Run, Datafusion, Dataproc, Composer, and Pub/Sub.

• Advanced proficiency in SQL, Python, and PySpark for data processing and transformation.

• Proven experience developing and supporting production‑grade, end‑to‑end cloud data pipelines.

• Expertise in ELT/ETL design, performance optimization, and data transformation frameworks.

• Strong background in monitoring, logging, alerting, and data quality frameworks across distributed systems.

• Experience with DevOps tools and techniques, including CI/CD, GitHub, and related automation practices.

• Demonstrated experience working in global, cross‑functional, and agile development environments.

• Excellent communication, problem‑solving, and analytical skills with the ability to collaborate across technical and non‑technical teams.

• GCP certification preferred (e.g., Google Cloud Professional Data Engineer).

Core Responsibilities

1. Data Engineering & Cloud Development (Core Responsibilities)

• Design, build, and maintain scalable data processing systems on Google Cloud Platform (GCP).

• Develop end‑to‑end data pipelines to support ingestion, transformation, and storage.

• Build ELT/ETL workflows, database objects, and cloud‑native data orchestration solutions.

• Optimize pipelines for performance, scalability, cost efficiency, and reliability.

• Ensure robust monitoring, alerting, and data quality assurance across distributed systems.

• Implement secure data architectures following Trane Technologies’ standards.

2. Collaboration & Analytics Enablement

• Work closely with data analysts and data scientists to understand business requirements and translate them into scalable data solutions.

• Support analytical use cases, data modelling, and enable self‑service data consumption.

• Partner across global teams, including business stakeholders, product owners, and data governance.

3. DevOps / Platform Engineering Partnership

• Partner with DevOps and platform engineering teams to ensure data infrastructure is secure, reliable, and highly available.

• Apply working knowledge of CI/CD practices (code versioning, automation, testing frameworks) to support cloud‑based deployments.

• Collaborate on environments, pipelines, and promote code through dev → test → prod.

4. Engineering Excellence & Ways of Working

• Participate in code reviews and maintain global coding standards.

• Follow structured engineering methods, documentation practices, and release processes.

• Contribute effectively in distributed, agile development teams across multiple time zones.

• Communicate clearly with both technical and non‑technical stakeholders.

5. Innovation & Continuous Improvement

• Research, evaluate, and propose new tools, technologies, and design patterns.

• Stay current with cloud, data engineering, and analytics trends relevant to enterprise‑scale environments.

• Apply continuous improvement practices to enhance reliability, quality, and developer productivity.

Experience : 2 to 4.5 Years

BE/Btech (EEE,EC) ME/Mtech (EEE/EC)

• Strong knowledge in Embedded C, C programming

• Should have knowledge on Microcontroller / Microprocessor, ARM architecture, Memory Subsystem 

• Knowledge of communication protocols like I2C,SPI, UART, CAN ,USB, PCIE, GPIO programming 

• Good Handson Knowedge in Linux Device Driver , Debugging, System Architecture 

• Experience / good knowledge in developing boot loader, bare metal low level device drivers, testing and debugging the issues.

• Good knowledge / experience at least in one project in UBOOT, Linux device driver and BSP configuration and development in Yocto / Buildroot/ Busybox environment

• Knowledge on Linux based product development, hands-on with at least one project based on Linux with any Application Processor (MPU) 

• Embedded domain with good knowledge and hands-on of 32 bit microcontrollers (preferably Arm Cortex MO/M4/M7) 

• Should possess very Good Aptitude and Strong problem solving skills

10

• Competitive salary

• Health insurance

• Professional development opportunities

• Collaborative and innovative work environment

Designer interactive: do you think in UI/UX and can iterate ideas quickly? Do you love design and design things all the time regardless of the medium? Must show a portfolio demonstrating typography, design,  color usage and show you understand UI/UX. We are looking for full-time and freelance talent.

Must know:

Figma

Should know:

Illustrator

Photoshop

Nice to know a tool(s) for quick iteration:

Coding?

Web flow?
Something else?

Must haves:

Must speak English, must have portfolio online

• Perform complex and varied applications support. Build, maintain & modify within a large environment;
• Identify issues, evaluate possible solutions, and make recommendations on the most appropriate action
• Design, build, test, and document solution-specific information and perform related work as required.
• Demonstrate functional knowledge in relevant clinical applications (OE-PCS-PHA-EDM-ITS-RAD-LAB-MIC-BBK-PTH)
• Demonstrate functional knowledge in Clinical Documentation
• Must have hands-on build and troubleshooting experience
• Must be able to quickly identify and resolve complex system issues
• Must be able to build using technical specifications.

Basic Qualifications:

• Implementation and support experience within a MEDITECH Environment
• Bachelors Degree in business, Healthcare Administration, Communication, Marketing related field or equivalent and relevant work experience

Preferred Qualifications:

• Knowledge of ITIL Incident, Problem, and Change management,
• Working knowledge of Agile, Product and Project methodologies

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

Requirements:

• 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI
• Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks).
• CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc).
• Image Processing techniques using OpenCV or other white-box image feature extraction algorithms.
• End to end deployment of deep learning models.