JOB DESCRIPTION

Position: Process Engineer

Location: Navi Mumbai, India | Reports to: Project Manager / Service Delivery Lead

JOB SUMMARY

The Process Engineer is responsible for reviewing, understanding and following customer inquiries and technical specifications. This person has overall responsibility with the design of oil and gas field equipment and technologies and performs project execution. The role includes field operations and treatments, as well as implementing, monitoring, and controlling different solutions to meet project and client expectations. The objective of the position is to support sales, service, delivery, and technical support of clients in assigned geographical areas and territory.

KEY RESPONSIBILITIES

Evaluate customer inquiries and specifications to determine the best process or equipment design for the application.
Design equipment or technologies to match specifications required to help customers maximize production.
Lead the development and creation of all project process engineering deliverables
Perform complex process simulations utilizing business-defined software
Lead HAZOP, HAZID, SIL, and other safety studies.
Support and interface with clients on field development planning and multi-discipline services.
Manage multiple stakeholders including Client, PMC engineers, contractors, and sub-contractors.
Prepare Scope of Work (SOW) for FEED and adequacy studies.
Understand and implement Data Confidentiality Standards and IT Security Policies.
Utilize digital twin tools to monitor real-time facility and equipment performance against design baselines, and support engineering decisions and adequacy studies.
Apply AI-assisted process optimization workflows to identify opportunities for production improvement, OPEX reduction, and emissions management.
Leverage asset health monitoring platforms to interpret equipment condition data, support predictive maintenance planning, and minimize unplanned downtime.
Integrate digital simulation outputs (steady-state and dynamic) with real-time operational data to enhance process troubleshooting and performance reviews.

EXPERIENCE & QUALIFICATIONS

Qualification: Bachelor's Degree in Chemical, Petroleum, or Petrochemical Engineering or equivalent; higher degree preferred.

Experience: 7-12 years in Process Engineering within E&P / Oil & Gas / Service industry, with a mix of Operator, Licensing, and Consultancy exposure.

Project Types: Hands-on experience in Concept Development, FEED, Pre-FEED, Detail Engineering and Digital projects for onshore and offshore upstream Oil & Gas projects.

Language: Proficiency in English and Hindi required.

TECHNICAL SKILLS

Basic Engineering, FEED, Detail Engineering & Concept Development for upstream Oil & Gas (onshore & offshore).
Greenfield & Brownfield development experience.
Process lead for Design Reviews, HAZOP, HAZID, SIL, and other safety studies.
Preparation and review of all process engineering deliverables.
Technical report writing: adequacy studies, hydraulic/surge studies, technical notes, and SOW for FEED.
Field Development Plan (FDP) preparation.
Familiarity with relevant codes and standards (API, IEC, ASME, etc.).

DIGITAL & SOFTWARE SKILLS

Process Simulation

Flow Assurance

Digital Twin / AI

Productivity

Symmetry or industry equivalent

OLGA

PIPESIM

Digital Twin /

Asset Performance

Microsoft Excel

(Advanced)

Proficient in process simulation tools: Symmetry or industry equivalent for steady-state and dynamic simulation.
Experienced in flow assurance and transient analysis using OLGA and PIPESIM.
Advanced Microsoft Excel for engineering calculations, production profiles, and data analysis.
Exposure to digital tools for technical report writing, engineering deliverables management, and project documentation systems.

DIGITAL SKILLS

The candidate is expected to demonstrate awareness and working aptitude across three core digital capability areas increasingly adopted in upstream oil & gas operations:

1. Digital Twin - Facility, Equipment & Pipeline

Understanding of digital twin concepts for upstream surface facilities - virtual models of processing equipment, pipelines, and entire facility networks that mirror real-world performance in real time.
Ability to use equipment and facility twin outputs to track performance against design baselines, support engineering decisions, adequacy studies, and design reviews.
Working knowledge of physics-based modelling, data-driven AI techniques, and hybrid (physics-informed AI) approaches applied in facility and equipment twins.
Familiarity with cloud-based digital twin deployment and integration with operational data from multiple OEM or vendor systems.
Ability to apply digital twin insights to identify performance gaps, support commissioning, and enhance engineering documentation.

2. Process Optimization

Ability to use digital process twins and simulation tools for real-time and predictive optimization of facility operations.
Experience in 'what-if' scenario analysis using simulation models and digital twins to maximize production, optimize energy usage, and reduce emissions.
Understanding of AI-assisted optimization workflows - automated insights that reduce OPEX, increase throughput, and improve energy efficiency.
Ability to interpret AI-generated advisory outputs and translate them into practical process engineering actions for production assurance and performance improvement.
Knowledge of integrating digital optimization tools with conventional process engineering workflows - PFDs, P&IDs, steady-state and dynamic simulation models.
Awareness of emissions performance monitoring and carbon footprint optimization as part of process system design and operations.

3. Asset Health Monitoring & Reliability

Familiarity with condition-based monitoring, continuous assessment of equipment health using real-time sensor data and AI-driven anomaly detection.
Understanding of prognostic health management (PHM), applying predictive failure models and machine learning to anticipate equipment issues ahead of occurrence.
Ability to interpret failure prediction and anomaly detection outputs and translate them into actionable maintenance recommendations and engineering responses.
Knowledge of facility-wide health management analytics, integrating data across compressors, pumps, separators, pipelines, and process equipment into a unified monitoring view.
Familiarity with maintenance planning workflows - using real-time equipment data and AI insights to plan, prioritize, and optimize maintenance activities.
Ability to collaborate with reliability engineers, OEM specialists, and operations teams to convert digital health monitoring insights into engineering actions.

Hands-on experience with a specific digital twin or asset performance management platform is advantageous but not mandatory. Candidates with strong process engineering foundations and demonstrated exposure to simulation tools, real-time monitoring environments, or AI-assisted engineering workflows will be considered.

BEHAVIOURAL COMPETENCIES

Strong stakeholder management skills - experience interfacing with Client, PMC, contractors, sub-contractors, and senior management.
Excellent written and verbal communication skills; experienced in presenting to senior management and clients.
Proactive problem-solving approach with strong conflict resolution capability.
Ability to manage and prioritize multiple projects simultaneously.
Experience working and leading in multicultural environments.
Quick learner adapts to new technologies and environments.
Personally committed to continuous improvement, quality, and HSE.

Qualification: Bachelor's Degree in Chemical, Petroleum, or Petrochemical Engineering or equivalent; higher degree preferred.

Experience: 7-12 years in Process Engineering within E&P / Oil & Gas / Service industry, with a mix of Operator, Licensing, and Consultancy exposure.

SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.

Process Engineer

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