Data Engineer

Job Description:

· Proficient In Python.

· Good knowledge of Stress/Load Testing and Performance Testing.

· Knowledge in Linux.

Job Title: AWS Devops Engineer – Manager Business solutions

Location: Gurgaon, India

Experience Required: 8-12 years

Industry: IT

We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes.

Key Deliverables (Essential functions & Responsibilities of the Job):

·         Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS.

·         Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance.

·         Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines.

·         Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.

·         Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack.

·         Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls.

·         Work closely with development teams to improve application reliability, scalability, and performance.

·         Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS.

·         Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding.

·         Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution.

Knowledge Skills and Abilities:

·         7+ years of hands-on AWS DevOps experience, especially with middleware services.

·         Strong expertise in MongoDB Atlas or other cloud MongoDB services.

·         Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.

·         Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc.

·         Excellent scripting skills in Python, Bash, or PowerShell.

·         Experience in containerization and orchestration: Docker, EKS, ECS.

·         Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana.

·         Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups.

·         Ability to solve complex problems and thrive in a fast-paced environment.

Preferred Qualifications

·         AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional.

·         MongoDB Certified DBA or Developer.

·         Experience with serverless services like AWS Lambda, Step Functions.

·         Exposure to multi-cloud or hybrid cloud environments.

Mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

Satish; 88O 27 49 743

Google search: Glan management consultancy

Position: Team Leader

Shift Timing: 10 AM to 6 PM - Monday to Saturday (Remote)

Company: JNJ Technologies & Services LLP - http://jnjservices.co.in/

Language: English

Salary: 5 LPA to 6 LPA

We are looking for a result-driven Team Leader to be responsible for monitoring and supervising a team of consultants to achieve the organization’s objectives and increase sales. You will be responsible for providing guidance, instruction, training, and leadership skills to inspire the team to perform at their optimum. You should create a cohesive team that works efficiently together to maximize the sales team's potential.

Requirements:

• A bachelor's or associate's degree in marketing, sales, or a related field may be advantageous.

• Experience in sales is necessary.

• Strong sales ability, business acumen, and commercial awareness.

• Excellent communication, interpersonal, and customer service skills.

• Strong leadership abilities.

• Good time management, strategic planning, and organizational skills.

Responsibilities:

• Identifies the primary concerns, long-term strategies, and targets to be assigned to the team members.

• The responsibilities of a Team Leader Own recruiting, objectives setting, coaching and performance monitoring of sales representatives.

• Develops the product sales blueprint, a set of standards for sales associates to conform to, encompassing lead filtering and deal modeling.

• Guides sales personnel to function efficiently by capitalizing on their passions and capabilities.

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

Cloudera is looking for a passionate Backend Software Engineer to play a key role in advancing Cloudera’s database offerings across multiple cloud providers. Since its origin, Cloudera has enabled several enterprise organizations to effectively manage and use their data using the on-premise infrastructure. We are now building software solutions that enable our customers to leverage cloud infrastructure to facilitate their growing data needs, and thereby accelerating Cloudera’s next stage of growth.

At Cloudera, our culture, our ethos, is centered on our values. We're here not only because we're experts at what we do, but also because we hold these values in common.

We are always moving forward. We believe in open. We are empathetic. We believe in We.

The Team

The team is a new and growing Innovation Accelerator that is exploring new ideas to expand the business. As part of the team, you will work on innovative projects that are fast paced and iterate quickly. You will learn about the modern data stack ecosystem. You will also be involved in every stage of the project - from ideation to delivering products and features to customers. Cloudera customers include the largest banks, telecom providers, and companies in pharma, financial services, retail, manufacturing, oil and gas and government. 

You will:

• Build robust and scalable data infrastructure software

• Design and create services and system architecture for your projects 

• Contribute to and provide feedback to other team members

• Improve code quality through writing unit tests, automation, and code reviews

• Brainstorm and contribute ideas to our technology, algorithms and products

• Work with product, design, customer-success teams to understand end-user requirements, formulate use cases, and translate those into effective technical solutions

• Dive into challenging technical problems and successfully deliver results

•  

And since we believe in high quality software engineering environments, you likely have:

• Worked with a team of designers/engineers who reviewed each other's code/designs and held each other to an extremely high bar for quality of code/designs

• Be comfortable providing estimates and sticking to estimates!

• Written unit tests and testable code

• Depended on continuous integration, and participated in build and release processes

• Own the quality of the code you wrote even (especially!) when it is running in production

• Bachelor's/Master’s degree in Computer Science or related field/experience

• 5+ years of experience building software

• Experience building distributed systems/databases

• Experience with one or more of the following:

  • Nodejs, Python, java 

  • Cloud services like Amazon Web Services, Google Compute Platform, Microsoft Azure

  • Kubernetes

1. Understand PHP, JavaScript, and JQuery.
2. Have deep knowledge of working with the platform APIs.
3. Use version control for Shopify theme development.
4. Possess excellent soft skills, such as communication and teamwork.
5. Have an extensive portfolio and testimonials of happy clients.

We are looking for a bright and exceptional Engineering Lead to join one of our Fortune 500 clients in the Fintech industry for the locations - Bangalore / Gurgaon / Hyderabad based Technology team. The role involves building complex next generation product used by the clients and architecting solutions to support new technical and business initiatives.

Responsibilities:

• Active participation in design, development, delivery, and maintenance of software projects/products.
• Help the team translate the business requirements into R& D tasks.
• Work with product groups to outline project deliverables and help manage the roadmap of the R& D tasks.
• Act as a point of contact for managing and driving production defects & stability improvements to resolution.
• Tailor processes to help manage time-sensitive issues and bring them to appropriate closure.
• Engage and lead a team of highly talented technologists.

Requirements:

• A bachelor's degree in Computer Science with 6-9 years of experience, Fintech domain is a plus.
• Demonstrated contribution to end-to-end delivery of enterprise-grade software.
• Proficiency in Java or equivalent object-oriented languages, coupled with design and SOA.
• Hands-on experience in enterprise application development, coupled with knowledge of frameworks & tools like/equivalent to spring, mybatis, git, gradle
• Experience in at least one shell scripting language, SQL, and data modeling skills.
• Experience in cloud technologies is a plus.
• Strong technology acumen, knowledge of software engineering process, design knowledge and architecture intelligence.
• Attention to detail and quality, and the ability to work well in and across teams.
• Ability to advocate & influence multiple stakeholders.
• Excellent analytical and reasoning skills.
• Ability to learn new domains and deliver output.
• Experience in leading a team of highly skilled engineers.
• Strong communication skills.
• The ideal candidate should have strong problem solving and analytical skills as well as a demonstrated passion for technology.
• Excellent reasoning ability and good interpersonal and communication skills are essential for this role as it involves interaction with business users.

• Prior Proven Experience in growing organic traffic and generating leads.
• Create a Content Strategy in accordance with the Marketing Funnel Stages.
• Hard-core Expertise in SEO Strategies like Competitor Research, Keyword Research, Content Strategy, Link Building, and Technical SEO, etc.
• Lead a team of SEO Executives, Content Writers, and Web Developer.
• Collect data and Present reports on traffic, keyword rankings, and other SEO aspects to Top Management.
• Needs to have a good command of English
• Basic Finance knowledge is preferred.