{"id":1818484,"url":"https://alion.io/job/slb-process-engineer","title":"Process Engineer","company":{"id":2187498,"name":"SLB","domain":"schlumberger.com","url":"https://alion.io/company/schlumberger-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":82,"open_postings":151,"ghost_share":0,"stale_share":0.715,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Navi Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Digital Twin","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Excel","optional":false}],"status":"live","first_seen_at":"2026-05-04T09:41:01Z","employer_posted_date":"2026-05-04","last_verified_at":"2026-10-06T21:54:12Z","board_verified":true,"closed_at":null,"days_open":155,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":154},"description":"JOB DESCRIPTION\nPosition: Process Engineer\nLocation: Navi Mumbai, India | Reports to: Project Manager / Service Delivery Lead\nJOB SUMMARY\nThe 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.\nKEY RESPONSIBILITIES\nEvaluate customer inquiries and specifications to determine the best process or equipment design for the application.\nDesign equipment or technologies to match specifications required to help customers maximize production.\nLead the development and creation of all project process engineering deliverables\nPerform complex process simulations utilizing business-defined software\nLead HAZOP, HAZID, SIL, and other safety studies.\nSupport and interface with clients on field development planning and multi-discipline services.\nManage multiple stakeholders including Client, PMC engineers, contractors, and sub-contractors.\nPrepare Scope of Work (SOW) for FEED and adequacy studies.\nUnderstand and implement Data Confidentiality Standards and IT Security Policies.\nUtilize digital twin tools to monitor real-time facility and equipment performance against design baselines, and support engineering decisions and adequacy studies.\nApply AI-assisted process optimization workflows to identify opportunities for production improvement, OPEX reduction, and emissions management.\nLeverage asset health monitoring platforms to interpret equipment condition data, support predictive maintenance planning, and minimize unplanned downtime.\nIntegrate digital simulation outputs (steady-state and dynamic) with real-time operational data to enhance process troubleshooting and performance reviews.\nEXPERIENCE & QUALIFICATIONS\nQualification: Bachelor’s Degree in Chemical, Petroleum, or Petrochemical Engineering or equivalent; higher degree preferred.\nExperience: 7-12 years in Process Engineering within E&P / Oil & Gas / Service industry, with a mix of Operator, Licensing, and Consultancy exposure.\nProject Types: Hands-on experience in Concept Development, FEED, Pre-FEED, Detail Engineering and Digital projects for onshore and offshore upstream Oil & Gas projects.\nLanguage: Proficiency in English and Hindi required.\nTECHNICAL SKILLS\nBasic Engineering, FEED, Detail Engineering & Concept Development for upstream Oil & Gas (onshore & offshore).\nGreenfield & Brownfield development experience.\nProcess lead for Design Reviews, HAZOP, HAZID, SIL, and other safety studies.\nPreparation and review of all process engineering deliverables.\nTechnical report writing: adequacy studies, hydraulic/surge studies, technical notes, and SOW for FEED.\nField Development Plan (FDP) preparation.\nFamiliarity with relevant codes and standards (API, IEC, ASME, etc.).\nDIGITAL & SOFTWARE SKILLS\nProcess Simulation\nFlow Assurance\nDigital Twin / AI\nProductivity\nSymmetry or industry equivalent\nOLGA\nPIPESIM\nDigital Twin /\nAsset Performance\nMicrosoft Excel\n(Advanced)\nProficient in process simulation tools: Symmetry or industry equivalent for steady-state and dynamic simulation.\nExperienced in flow assurance and transient analysis using OLGA and PIPESIM.\nAdvanced Microsoft Excel for engineering calculations, production profiles, and data analysis.\nExposure to digital tools for technical report writing, engineering deliverables management, and project documentation systems.\nDIGITAL SKILLS\nThe candidate is expected to demonstrate awareness and working aptitude across three core digital capability areas increasingly adopted in upstream oil & gas operations:\n1. Digital Twin - Facility, Equipment & Pipeline\nUnderstanding 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.\nAbility to use equipment and facility twin outputs to track performance against design baselines, support engineering decisions, adequacy studies, and design reviews.\nWorking knowledge of physics-based modelling, data-driven AI techniques, and hybrid (physics-informed AI) approaches applied in facility and equipment twins.\nFamiliarity with cloud-based digital twin deployment and integration with operational data from multiple OEM or vendor systems.\nAbility to apply digital twin insights to identify performance gaps, support commissioning, and enhance engineering documentation.\n2. Process Optimization\nAbility to use digital process twins and simulation tools for real-time and predictive optimization of facility operations.\nExperience in ‘what-if’ scenario analysis using simulation models and digital twins to maximize production, optimize energy usage, and reduce emissions.\nUnderstanding of AI-assisted optimization workflows - automated insights that reduce OPEX, increase throughput, and improve energy efficiency.\nAbility to interpret AI-generated advisory outputs and translate them into practical process engineering actions for production assurance and performance improvement.\nKnowledge of integrating digital optimization tools with conventional process engineering workflows - PFDs, P&IDs, steady-state and dynamic simulation models.\nAwareness of emissions performance monitoring and carbon footprint optimization as part of process system design and operations.\n3. Asset Health Monitoring & Reliability\nFamiliarity with condition-based monitoring, continuous assessment of equipment health using real-time sensor data and AI-driven anomaly detection.\nUnderstanding of prognostic health management (PHM), applying predictive failure models and machine learning to anticipate equipment issues ahead of occurrence.\nAbility to interpret failure prediction and anomaly detection outputs and translate them into actionable maintenance recommendations and engineering responses.\nKnowledge of facility-wide health management analytics, integrating data across compressors, pumps, separators, pipelines, and process equipment into a unified monitoring view.\nFamiliarity with maintenance planning workflows - using real-time equipment data and AI insights to plan, prioritize, and optimize maintenance activities.\nAbility to collaborate with reliability engineers, OEM specialists, and operations teams to convert digital health monitoring insights into engineering actions.\nHands-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.\nBEHAVIOURAL COMPETENCIES\nStrong stakeholder management skills - experience interfacing with Client, PMC, contractors, sub-contractors, and senior management.\nExcellent written and verbal communication skills; experienced in presenting to senior management and clients.\nProactive problem-solving approach with strong conflict resolution capability.\nAbility to manage and prioritize multiple projects simultaneously.\nExperience working and leading in multicultural environments.\nQuick learner adapts to new technologies and environments.\nPersonally committed to continuous improvement, quality, and HSE.\nQualification: Bachelor’s Degree in Chemical, Petroleum, or Petrochemical Engineering or equivalent; higher degree preferred.\nExperience: 7-12 years in Process Engineering within E&P / Oil & Gas / Service industry, with a mix of Operator, Licensing, and Consultancy exposure.\nSLB 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.","description_format":"text","description_chars":8113,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[{"language":"Hindi","level":"Advanced (C1)","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-04T03:48:36Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.302,"p_room":0.28,"age_days":154,"expected_fill_days":37,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/slb-process-engineer","json_url":"https://alion.io/job/slb-process-engineer.json","meta":{"generated_at":"2026-10-07T00:30:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":860,"day_limit":5000,"remaining_today":4140,"minute_limit":60,"resets_at":"2026-10-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2187498},"rest":"https://alion.io/mcp/rest/get_company?id=2187498"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fslb-process-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fslb-process-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fslb-process-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/slb-process-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fslb-process-engineer"}]}