QA Engineer

Dynatrace Infrastructure Engineer

Job Summary:

We are seeking an experienced Dynatrace Engineer to install, configure, and maintain Dynatrace environments for monitoring application performance and user experiences. The ideal candidate should have hands-on expertise in Application Performance Monitoring (APM) tools and the ability to troubleshoot performance issues effectively.

Experience Requirements:

• Total Experience: 3 to 7 years
• Relevant Experience: 3 to 5 years in Dynatrace administration, setup, configuration, and maintenance

Key Responsibilities:

• Install, configure, and manage Dynatrace for application performance monitoring.
• Deploy and optimize Dynatrace environments for efficient monitoring and alerting.
• Analyze application performance, troubleshoot performance issues, and ensure seamless user experience.
• Work with Application Performance Monitoring (APM) tools to identify and resolve performance bottlenecks.
• Collaborate with development and infrastructure teams to integrate Dynatrace into existing systems.
• Ensure high availability, scalability, and compliance with organizational monitoring standards.

Key Requirements:

• Hands-on experience in Dynatrace setup, configuration, and maintenance.
• Strong understanding of application performance monitoring and optimization.
• Expertise in troubleshooting application performance issues.
• Familiarity with cloud environments and virtualization platforms.
• Ability to work in a dynamic environment and support cross-functional teams.

Preferred Qualifications:

• Experience with other APM tools (e.g., New Relic, AppDynamics, Splunk, etc.).
• Knowledge of cloud platforms (AWS, Azure, GCP) and containerized environments.
• Strong scripting skills (PowerShell, Python, Bash) for automation and monitoring enhancement.

About the company

KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.

Application Link for quick response-  https://forms.gle/wFPNPLK4XE5L7MRk8

Job Description

Position: Chief Risk Officer 

Education Qualification: Bachelor's degree in finance, business administration, economics, or a related field

Experience: 12-14 years

Location:  Pan India with potential requirement to travel to the middle east

Employment Type:  contract for 6-12 months (Hybrid)

Responsibilities:

1. Enterprise Risk- ERM Framework: Implement a comprehensive risk management framework addressing operational, financial, and reputational risks.
2. Operational Risk: Identify and mitigate risks from internal processes and external threats (e.g., cybersecurity) and produce annual entity specific Risk Assessment.
3. Compliance Risk: Ensure adherence to QFCRA regulations and collaborate with the CCO and MLRO to manage compliance risks.
4. Risk Reporting: Provide regular risk reports to senior management and the board.
5. Produce annual entity specific Risk Appetite Statement.
6. Portfolio Investment Risk
7. Risk Assessment: Regularly analyze and monitor market, credit, and liquidity risks in the investment portfolio.
8. Risk Limits: Set and enforce risk limits aligned with the firm’s strategy and regulatory requirements.
9. Performance Monitoring: Track portfolio performance against risk benchmarks and report exposures to senior management.
10. Mitigation Strategies: Advise on hedging, diversification, and other techniques to manage investment risks.

Job Description :

As a Data & Analytics Architect, you will lead key data initiatives, including cloud transformation, data governance, and AI projects. You'll define cloud architectures, guide data science teams in model development, and ensure alignment with data architecture principles across complex solutions. Additionally, you will create and govern architectural blueprints, ensuring standards are met and promoting best practices for data integration and consumption.

Responsibilities :

- Play a key role in driving a number of data and analytics initiatives including cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science.

- Define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption.

- Guide the data science team in implementing data models and analytics models.

- Serve as a data science architect delivering technology and architecture services to the data science community.

- In addition, you will also guide application development teams in the data design of complex solutions, in a large data eco-system, and ensure that teams are in alignment with the data architecture principles, standards, strategies, and target states.

- Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state.

- Define and maintain standards for artifacts containing architectural content within the operating model.

Requirements :

- Strong cloud data architecture knowledge (preference for Microsoft Azure)

- 8-10+ years of experience in data architecture, with proven experience in cloud data transformation, MDM, data governance, and data science capabilities.

- Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, real-time, and near real-time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses.

- Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final - recommendation.

- Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB).

- Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc.

- Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka.

Overview

We at PEMS digital aim to create a smarter, greener tomorrow for you, with your expertise. All of us are guided by finding and employing efficient data handling to push the frontiers of human engagement, whether it be with infrastructure, mobility, logistics or the myriads of other industries we hope to expand into. We believe in visualizing the technology of tomorrow today, and thus, priorities the attitudes of collaboration, creation and adaptability to create an ecosystem that will foster talent.

Role Overview:

We are seeking a dynamic and motivated Presales (Inside Sales).

This role is perfect for individuals looking to gain hands-on experience in sales processes, client engagement, and lead generation

Key Responsibilities:

 Conduct market research to identify potential clients and key decision-makers.

 Assist in lead generation and prospecting activities using various tools and platforms.

 Reach out to prospects via calls, emails, and social media to introduce company products/services.

 Support the sales team in preparing proposals, presentations, and sales collateral.

 Schedule meetings and product demos for the sales team.

 Maintain and update CRM systems with accurate lead and customer information.

 Collaborate with marketing to align lead generation efforts with campaigns.

 Track and report on outreach and lead generation metrics.

Qualifications:

 Pursuing or recently completed a degree in Business, Marketing, Sales, or a related field.

 Strong communication and interpersonal skills.

 Basic understanding of sales principles and customer relationship management.

 Self-motivated, goal-oriented, and eager to learn.

 Ability to multitask and manage time effectively.

What You will Gain:

 Hands-on experience in presales and inside sales processes.

 Exposure to sales tools and CRM platforms.

 Opportunity to develop client engagement and communication skills.

 Mentorship and guidance from experienced sales professionals.

• Identify bad code practices in Ruby and write new analyzers to detect them.
• Improve the coverage of automatically fixable issues.
• Ensure fewer false-positives are reported by the analyzer.
• Work on the internal tools that support analysis runtimes.
• Contribute to open-source static analysis tools.

We’re looking for someone who has:

• Strong foundational knowledge in Computer Science.
• At least 3 years of professional software development experience in Ruby.
• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).
• Familiarity with Ruby best practices followed in the industry.
• Native experience with Linux/Unix environment.
• A focus on delivering high-quality code through strong testing practices.

As per 5 yrs below is the tech stack that he should know around django:

·         Django forms

·         Django Rest APIs

·         Schedulers/Cron Jobs

·         Customising middlewares

·         Customising permission classes

·         Management commands

·         Fixtures

·         Multiple Environment handling

·         Multiple database integration

·         SQL and NoSQL database integration experience

·         Use of loggers or any logging mechanism

·         Signals

·         Push notifications over IOS/Android devices

·         Email notifications

·         Websockets

·         Unit testing

·         Caching

·         Payment gateway integration

AWS & Deployment Skills:

·         Deployment of Django over EC2 using Nginx or Apache2

·         Configuring the Django to run the services like websockets, celery

·         Using and configuring the RDS

·         Should know how to use S3 buckets

aws-lambda