What Monitoring Performance Jobs are in India?

About the Role Our client, a key player in the Oil & Gas services sector, is seeking a skilled Drilling Fluids Engineer to join their operational team in Vijayawada, Andhra Pradesh . This position is responsible for the design, management, and monitoring of drilling fluid systems to ensure optimal drilling performance, wellbore stability, and safety. The ideal candidate will possess a strong technical understanding of fluid chemistry, rheology, and solids control. This is an exciting opportunity to contribute to efficient and cost-effective drilling operations in a region with significant exploration activity. You will work closely with drilling crews and management to address fluid-related challenges and implement best practices. We are looking for a detail-oriented and proactive engineer committed to delivering high-quality fluid solutions and maintaining operational integrity. Your role will be vital in supporting successful drilling campaigns in Vijayawada, Andhra Pradesh . Key Responsibilities

• Design drilling fluid programs tailored to specific well conditions and geological formations.
• Supervise mud operations on drilling rigs, ensuring fluid properties meet operational requirements.
• Monitor fluid performance, analyze samples, and make necessary adjustments to maintain desired properties.
• Manage inventory of drilling fluid materials and additives.
• Troubleshoot fluid-related problems encountered during drilling operations.
• Ensure compliance with health, safety, and environmental regulations related to drilling fluids.
• Prepare technical reports and recommendations regarding fluid systems and operations.
• Collaborate with drilling engineers and rig personnel to optimize drilling efficiency.

Requirements

• Bachelor's degree in Chemical Engineering, Petroleum Engineering, or a related scientific field.
• Minimum of 4 years of experience as a Drilling Fluids Engineer or in a related mud engineering role.
• Proven experience in managing and troubleshooting various types of drilling fluid systems (water-based, oil-based, synthetic-based).
• Strong knowledge of rheology, fluid chemistry, solids control, and wellbore hydraulics.
• Familiarity with industry standards and best practices for drilling fluid management.
• Excellent analytical and problem-solving skills.
• Good communication and interpersonal skills, with the ability to work effectively with rig crews.
• Willingness to work on remote drilling locations as required.
• Must be eligible to work in Vijayawada, Andhra Pradesh .

Benefits Our client offers a competitive salary, comprehensive benefits package including health insurance, and opportunities for professional growth and specialized training within the Oil & Gas industry. This role provides valuable hands-on experience and exposure to diverse drilling environments. Employees benefit from a supportive team culture and the chance to contribute to significant drilling projects. Our client is committed to fostering a safe and productive work environment in Vijayawada, Andhra Pradesh , and values the development of its engineering talent.

Location: India/UK/Canada

Position Summary

The Centralized Monitoring Lead is responsible for leading Risk-Based Quality Management (RBQM) and centralized monitoring activities across global medical device clinical investigations. This role partners closely with Clinical Operations, Data Management, Biostatistics, Medical Affairs, Quality Assurance, Regulatory Affairs, and Clinical Data Review teams to proactively identify risks, ensure data quality, protect subject safety, and maintain regulatory compliance throughout the study lifecycle

The individual will lead centralized monitoring activities in accordance with ISO 14155, ICH-GCP, FDA, MDR, and applicable global regulatory requirements while driving data-driven decision-making and continuous quality improvement

Key Responsibilities (but not limited to)

Risk-Based Quality Management (RBQM)

• Lead the implementation and execution of Risk-Based Quality Management (RBQM) strategies for global medical device clinical investigations
• Develop and maintain study-specific Risk Assessment and Categorization Tool (RACT), Key Risk Indicators (KRIs), Quality Tolerance Limits (QTLs), and centralized monitoring plans
• Continuously evaluate study risks and recommend mitigation strategies
• Lead periodic risk review meetings with cross-functional stakeholders

Centralized Monitoring

• Perform centralized monitoring activities using clinical, operational, safety, and quality data
• Review data trends, protocol deviations, missing data, enrollment performance, adverse events, device deficiencies, monitoring findings, and site performance metrics
• Identify data anomalies, outliers, fraud indicators, protocol non-compliance, and emerging risks
• Escalate critical issues and recommend corrective and preventive actions (CAPA)

Clinical Data Surveillance

• Monitor
• Enrollment and recruitment trends
• Data entry timelines
• Query aging
• Protocol deviation
• Missing data
• Subject withdrawal
• Device accountability
• Adverse Events (AEs)
• Serious Adverse Events (SAEs)
• Device deficiencies
• Endpoint data quality
• Source Data Verification (SDV) strategy
• Source Data Review (SDR

Cross-functional Collaboration

Partner closely with

• Clinical Operations-Clinical Monitoring
• Data Management
• Biostatistics
• Medical Affairs
• Clinical Safety
• Regulatory Affairs
• Quality Assurance
• Clinical Data Review Team
• Clinical Project Management

Technology & Analytics

Utilize RBQM and clinical systems including

• Medidata Detect
• Medidata Rave
• Oracle Clinical One
• Veeva Vault CDM
• SSA
• Power BI
• Spotfire
• Tableau
• CTMS
• RBQM dashboard

Generate centralized monitoring reports and study dashboards

Quality & Compliance

• Ensure compliance with
• ISO 14154
• ICH E6(R2)/(R3)
• FDA regulations
• EU MD
• Company SOPs
• Risk-Based Monitoring methodologies
• Support sponsor audits and regulatory inspections
• Participate in CAPA investigations and quality improvement initiatives

**About Us:**
We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That's the Power of Us, that's the Power of PVH+.   
One of PVH's greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH **here ( .
Business Title:
Sr. Manager, Monitoring & Observability
OVERVIEW
**Position Summary:**
The Sr. Manager, Monitoring & Observability will play a key role in the engineering and management of monitoring & observability capabilities across PVH IT landscape and automated remediation solutions. The Sr. Manager will work with business partners to understand requirements to provide robust solutions. This position is global in scope and requires a customer service focus. The Sr. Manager is responsible for enterprise monitoring & observability engineering capabilities which includes planning, installation, maintenance, configuration, performance tuning, recommendations, documentation, and supporting the Enterprise Monitoring & Observability software/hardware. The role will provide technical direction with the design, process improvements, planning, operation, service, maintenance, evaluation and testing in a multi-user information systems environment.
The Sr. Manager duties include: systems/utility/vulnerability monitoring & observability, software/hardware evaluation, recommends/evaluates system hardware and software service packs, release levels, configurations etc., evaluates log reports and makes/completes recommendations based on these reports, technical staff training, technical software/hardware documentation and day-to-day direction and assistance of the enterprise IT monitoring capabilities, including application, infrastructure, Layer 3 networking, virtualization, Storage, systems administration for On-Prem, Cloud and Hybrid platform support.
The duties also include leading Enterprise Monitoring & Observability standards, implementing proactive management mechanisms/systems/policy and procedures. The role would provide recommendations to executives on system evaluations/testing and report findings. This role will have experience developing and deploying modern fault/performance/capacity alarm management systems and work with event correlation platforms for large organizations.
PRIMARY RESPONSIBILITIES/ACCOUNTABILITIES OF THE JOB:
**Responsibilities:**
-Plan, engineer and implement robust and cost-effective IT monitoring & observability capabilities, using new technologies. In coordination with business partners, design, engineer and deliver technology solutions across all production and pre-production environments.
-Identify areas where existing capabilities and processes require change and where new ones need to be developed to meet future business demands
-Generate, assess and improve alerting with a focus on proactive alerting and self-healing.
-Build service management & event correlation to transition from isolated alerts to predictive service impact analysis.
-Partner with operations teams including strategic partners to design and implement integrations among various processes and tools, which will include detailed rules and procedures for identifying and resolving incidents related to the area of responsibility
-Drive a high standard of quality and consistency across the monitoring environment by maintaining and improving the standards within the team and by supporting good practice
-Develop and maintain technical documentation as it relates to monitoring & observability configuration, mapping, processes and service records
-Conduct research on monitoring & observability products, services and standards to remain abreast of developments in the monitoring and enterprise tools space
QUALIFICATIONS & EXPERIENCE:
**Experience:**
-Eight to ten years of experience in design and implementation of global, multi-platform enterprise monitoring & observability solutions
-Strong knowledge of Linux and Windows Server operating systems
-Proven understanding of scripting languages (Python, JavaScript, PowerShell, etc.) to automate tasks and analyze data
-Proficiency in REST API and JSON usage as well as Web services
-Understanding of commercial and open source monitoring & observability tools such as SCOM, APM tools, log management tools and Manager of Managers (MoM)
-Experience with SQL, ability to write SQL queries to efficiently extract data from relational databases
-In-depth knowledge of Architecture, technical solutions, and project management methodologies.
**Education:**
-Bachelor's degree in Computer Science, Enterprise Architecture, Information Systems, or related field is required.
**Skills**
-Ability to use logs to solve complex issues
-Ability to interact effectively at all levels of the organization; Strong customer, quality, and results orientation
-Ability to articulate complex ideas, display exceptional written and verbal communications, and possess excellent presentation skills
-Strong interpersonal skills to support management and problem-solving functions of this role
-Excellent judgment and discretion; ability to handle multiple priorities simultaneously and meet deadlines in high pressure scenarios
-Comfortable with ambiguity and facilitating discussions to explore the best possible solutions
-Ability to work independently as well as collaborate with a team
-Flexibility to work with global teams during their respective time zone
PHYSICAL DEMANDS
Physical Demands Category:
Corporate Office
-Prolonged periods sitting at a desk and working on a computer.
Travel
-Domestic
Minimal (1-10%) - Occasional travel, a few times a year.
-International
Minimal (1-10%) - Occasional travel, a few times a year.
_PVH Corp. or its subsidiary ("PVH") is an equal opportunity employer and considers all applicants for employment on the basis of their individual capabilities and qualifications without regard to race, ethnicity, color, sex, gender identity or expression, age, religion, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state or local law. In addition to complying with all applicable laws, PVH is also committed to ensuring that all current and future PVH associates are compensated solely on job-related factors such as skill, ability, educational background, work quality, experience and potential._
DIVERSITY & EQUAL OPPORTUNITY We are committed to recruiting, training and providing career advancement to all associates regardless of gender, race, religion, age, disability, sexual orientation, nationality, or social or ethnic origin. Diversity in the workplace is encouraged. Bigotry, racism and any form of harassment or discrimination is not tolerated.

Description
Amazon's Selection Monitoring team is responsible for building and operating large-scale data processing systems that power catalog intelligence across Amazon. Our systems process billions of products from multiple data sources-both real-time crawler feeds and pre-computed datasets-to create comprehensive, high-quality product information that drives business decisions across Amazon. We apply parallel processing, machine learning, and deep learning algorithms to evaluate and enrich product data at global scale. The datasets and insights produced by our team enable teams across Amazon to make data-backed decisions that improve customer experience.
Our work involves building state-of-the-art data processing pipelines and Information Retrieval (IR) systems that handle diverse data streams and automatically create structured entities from unstructured/semi-structured data. We constantly stretch the boundaries of large-scale distributed systems, streaming and batch processing technologies, Elastic Computing, Big Data, Artificial Intelligence, and service-oriented architectures to tackle challenges at Amazon's global scale.
Come join us in our journey to build the data infrastructure that powers Amazon's catalog intelligence!
We are looking for SDEs with strong technical knowledge, established background in engineering large-scale software systems, and passion for solving challenging problems. The role demands a high-performing and flexible candidate who can take responsibility for system success and drive solutions from design to coding, testing, and deployment, to achieve results in a fast-paced environment.
The SDE on this team will play a key role in solving complex problems and building innovative solutions that process and integrate data from multiple sources at scale. Candidates need to have a high sense of ownership, ability to develop end-to-end solutions, and drive measurable impact. This role will expose you to solving problems of scale in the areas of data engineering, real-time and batch processing, observability, artificial intelligence, big data, and distributed systems of cloud-scale.
Key job responsibilities
As a member of the team, in this role, you will:
* Design and build scalable data processing systems that handle both real-time crawler data and precomputed datasets from multiple sources, ensuring seamless integration and orchestration across diverse data streams.
* Develop robust pipelines and frameworks for ingesting, processing, transforming, and enriching product data at scale using AWS technologies including streaming and batch processing platforms.
* Work with Senior Engineers to drive the technical and architectural vision for systems responsible for generating structured domain entities from structured/semi-structured data across multiple crawler sources.
* Build comprehensive observability and metrics systems to proactively identify bottlenecks, monitor system health, and provide accurate, actionable reporting that enables data-backed decision making.
* Solve complex problems in data integration, entity resolution, deduplication, and classification across heterogeneous data sources with varying quality and formats.
* Design and implement efficient storage solutions for managing large-scale datasets, ensuring optimal performance for both write-heavy ingestion and read-heavy analytical workloads.
* Lead and mentor engineers, and drive best practices around design, coding, testability, operational excellence, and security.
* Own end-to-end delivery of critical systems from requirements gathering through design, implementation, testing, deployment, and ongoing operational support.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

**Job Description Summary**
As a Staff Software Engineer (Observability), you will be responsible for defining and implementing the observability strategy across PCS Digital Solutions Cloud Applications.
**Job Description**
**Roles and Responsibilities**
In this role, you will:
+ Define and evolve the **observability vision and roadmap** for PCS DS applications
+ Design and implement/integrate **standardized observability frameworks** (metrics, logs, traces, events, profiling).
+ Collaborate with platform, SRE, and product teams to **instrument services** using OpenTelemetry and other modern observability tooling.
+ Build and maintain **dashboards, alerts, and SLOs** that reflect both technical and business health indicators.
+ Evaluate, integrate, and optimize observability agents (e.g., Prometheus, Fluent bit, OTEL and other agents).
+ Design self-remediation solutions leveraging observability tooling.
+ Implement Best Practices for using GenAI tools of Observability platforms.
+ Lead / contribute to **incident analysis and postmortem reviews** , driving improvements in system resilience and observability coverage.
+ Conduct Operational Readiness Reviews (ORRs) to validate monitoring, alerting, and rollback strategies before go-live.
+ Ensure observability practices align with **healthcare compliance standards** (e.g., HIPAA, GDPR, HITRUST).
+ Mentor engineers and promote a **culture of observability-first development** .
**Required Qualifications**
+ Bachelor's or master's degree in computer science, Engineering, or a related technical field.
+ 10+ years of experience in software engineering, SRE, or platform engineering roles.
+ 4+ years of experience in contributing in **observability solutions in cloud-native environments** (Kubernetes, microservices, serverless).
+ Deep expertise in **observability pillars** (metrics, logs, traces) and tools like OpenTelemetry, Prometheus, Grafana, Datadog, Dynatrace etc.
+ Strong programming/scripting skills (e.g., Go, Python, Bash, Terraform).
+ Experience with **distributed tracing** , **SLO/SLI frameworks** , and **incident response workflows** .
+ Deep expertise in **distributed systems, microservices, and cloud platforms** (AWS, Azure, GCP).
+ Experience with **AI-powered anomaly detection** , automated incident response, and cost optimization for observability at scale.
+ Familiarity with **SRE practices** , chaos engineering
+ Excellent communication and collaboration skills.
**Desired Characteristics**
+ Experience in **healthcare or regulated industries** .
+ Knowledge of **data privacy and compliance** (HIPAA, HITRUST).
+ Experience with **cost optimization** and **telemetry data governance** .
+ Contributions to open-source observability projects.
**Additional Information**
**Relocation Assistance Provided:** No

**Description**
- The Data Concern Remediation Management ("DCRM") Monitoring Analyst plays a crucial role in ensuring the efficient management and resolution of data concerns within the organization. This position involves active monitoring, risk identification, and support for the data concern lifecycle, contributing to data accuracy and adherence to DCRM policy
- DCRM team is designed to effectively manage data concerns throughout their lifecycle, ensuring timely remediation, compliance with Data Concerns, and continuous improvement.
**Key Responsibilities**
- Actively monitors the status and progress of all open data concerns within Regulatory Operations.
- Ensures that each data concern within the DCRM system includes the required and concise descriptions, and that appropriate evidence is uploaded as the data concern progresses through its lifecycle.
- Identifies potential "Out of SLA" risks and escalates them promptly to the DCRM Manager.
- Assists in the data concern disposition and closure process, ensuring all established criteria are met, as part of the maker/checker process.
- Maintains an internal DCRM tracking system, guaranteeing the accuracy and integrity of recorded data concern.
**QUALIFICATIONS**
- Bachelor's degree or equivalent,
- 2-4 years of experience in data management, data analysis, monitoring, or a similar role, preferably within the financial service industry,
- Knowledge of non-financial regulatory reporting (i.e. securities, swaps),
- Strong analytical and problem-solving skills with attention to detail,
- Excellent communication (written and verbal) and interpersonal skills,
- Ability to identify risks and escalate issues effectively,
- Proficiency in using data management and reporting tools,
- Familiarity with data governance principles and data lifecycle management,
- Ability to work independently and as part of a team
**Skills**
- Proficiency in Microsoft Word and Excel (e.g., Pivot tables, VLOOKUP's, etc.),
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**Job Family Group:**
Finance
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**Job Family:**
Regulatory Reporting
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**Time Type:**
Full time
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**Most Relevant Skills**
Business Acumen, Change Management, Communication, Data Analysis, Financial Acumen, Internal Controls, Issue Management, Problem Solving, Regulatory Reporting.
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**Other Relevant Skills**
Microsoft Excel, Microsoft Word.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Senior Observability engineerPune, IndiaJR
**Position Summary** :
As a Senior Engineer in the Monitoring and Observability team, you will be responsible for designing, implementing, and optimizing monitoring solutions to ensure reliability and performance of Ensono distributed and application services. This role requires deep expertise in real-time monitoring, alerting, anomaly detection, and automation to proactively identify and rapid resolution of incidents. You will also be responsible for designing and implementing client solutions that Ensono manages.
**What You Will Do:**
+ Engineer & operate scalable monitoring & observability platform for Ensono's Hybrid Cloud clients, using current tools in Ensono fleet such as BMC Truesight, BMC Helix, Entuity, VMWare Aria.
+ Plan and execute strategic roadmap for observability and monitoring tools, ensuring alignment with business and clients' requirements
+ Define monitoring best practices, including proactive alerting, anomaly detection and performance analytics
+ Operate and optimize end-to-end monitoring solutions, for real-time visibility into network, distributed systems and applications
+ Establish automated alerting thresholds based on Service Level Objectives (SLO) and Service Level Agreement (SLA)
+ Establish monitoring audit standards for conformance and compliant purposes on standard as well as custom monitors
+ Point of escalation for day-to-day monitoring related incidents
+ Automate monitoring configurations and telemetry collection using scripting and Infrastructure as a Code (IAC) tool like Ansible and Terraform
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**
**Required Qualifications:**
+ 7+ years of experience in observability or monitoring engineering operational roles
+ 7+ years of hands-on experience with ITSM platforms such as ServiceNow and Monitoring Tools such as BMC, Data Dog, Entuity, or others
+ Strong proficiency in Python, Bash, JavaScript for automation and scripting
+ Experience with Infrastructure as Code (Ansible, Terraform, etc) for observability tools deployment
+ Strong analytical and problem-solving skills for diagnosing complex issues
+ Effective communication and leadership, especially in training and cross functional team collaborations
+ Ability to think outside the box, holistically about processes that impact the business engagement, and continually refine processes
+ Ability to thrive in an independent and collaborative fast-paced environment, managing priorities properly
+ Bachelor's degree in related field
**Preferred Qualifications:**
+ Master's degree in information technology related field
+ Proficiency in cloud platforms (AWS, Azure, GCP) and Kubernetes deployment & monitoring
+ Advanced ITIL, including ITIL v3 and v4, certification or training
+ Experience on AI/ML integration into ITSM practices is a plus
+ Flexible work schedule
_"We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request."_
JR