Energy Storage Software Engineering Leader (Manager - Sr.Manager level)Â - REMOTE

💰 ₹18,000 - ₹28,800 (Est.) 📍 India 🏠 Remote / WFH 🕐 Today

Job Description

This a Full Remote job, the offer is available from: Anywhere

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This is a remote position.<\/p>

Energy Storage Software Engineering Leader (Manager to Sr. Manager level) - Energy Trading<\/b><\/span><\/span><\/span>
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Location: FULLY REMOTE (Anywhere in the USA)<\/b><\/span><\/span>

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This is an opportunity to join an industry leading renewable energy venture with strong private equity backing that is focused on the development, execution, and operations of dynamic utility-scale energy storage projects.<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>They are at the forefront of the industry, have accumulated over 9GW of projects in a relatively short period of time, and are currently in an accelerated expansion phase which includes key additions to their Software, Data, and Technology Team.<\/span><\/span><\/span><\/span>

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The Energy Storage Software Engineering Leader i<\/b>s <\/b><\/span><\/span><\/span><\/span>an innovative team leadership role focused on ML / AI energy predictive pricing and quantitative forecasting models that will drive the algorithmic decision making process of next generation utility-scale renewable energy projects across all ISO / RTO markets in the United States. <\/b><\/span><\/span>It will be part of a creative team focused on energy storage / battery storage energy trading strategies, asset management, and real-time energy pricing.
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They are committed to creating more renewable infrastructure solutions for the grid and are offering<\/span><\/span> comprehensive compensation packages<\/span><\/span><\/span> to their employees leading the drive to meet company goals. <\/b><\/span><\/span><\/span>Other perks included a competitive base salary, open PTO policy, flex work hours, benefits, the opportunity to work with a transparent Executive Leadership Team..and more.<\/b><\/span><\/span>
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<\/span><\/span><\/b>RESPONSIBILITIES:<\/b><\/span><\/span><\/span>
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• Renewables Software Engineering Leader (Manager - Sr. Manager)<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> - Develops and implements software development growth strategy driven by machine learning optimization and predictive models f<\/span><\/span>or energy trading wholesale electricity markets with a key focus on energy storage initiatives<\/span><\/span><\/span><\/span><\/span>
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• Renewables Software Engineering Leader (Manager - Sr. Manager)<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>- T<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>akes ownership of software engineering operations programs to monitor performance and streamline processes<\/span><\/span> including real-time troubleshooting <\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>
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• Renewables Software Engineering Leader (Manager - Sr. Manager)<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/span><\/span>- <\/span><\/span><\/span><\/span><\/span><\/span><\/span>Create short-term and long-term roadmaps based on organizational goals as well as team based assessments<\/span><\/span><\/span><\/span><\/span>
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• Renewables Software Engineering Leader (Manager - Sr. Manager)<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>- <\/span><\/span><\/span><\/span>Develops and implements a framework of testings machine learning models and taking them into production<\/span><\/span><\/span><\/span><\/span><\/span>
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• Renewables Software Engineering Leader (Manager - Sr. Manager)<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> -<\/span><\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span><\/span>Utilize forward thinking techniques such as optimal control, deep learning, machine learning (AI/ML), and reinforcement learning to evaluate and update current protocols<\/span><\/span><\/span><\/span><\/span><\/span>
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QUALIFICATIONS:<\/b><\/span><\/span>

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• 8-10+ yrs of software development engineering, programming, or coding experience; at least 2 years in Team Leadership roles with direct reports<\/span><\/span>
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• Software engineering machine learning development experience in production ready coding environments focused on complex projects<\/span><\/span>
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• Solid exposure to cybersecurity best practices for software development and distributed architecture systems<\/span><\/span><\/span><\/span>
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• Expert in machine learning model deployment and machine learning operations MLOps; Well versed in agile based software development methodology<\/span><\/span><\/span><\/span><\/span>
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• Expertise in the Amazon Web Services (AWS) Sagemaker Machine Learning platform or similar cloud based solutions <\/span><\/span><\/span><\/span>
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• Understanding convex optimization techniques (Linear/Mixed Integer programming) and time-series forecasting (PostgreSQL, TimescaleDB, InfluxDB)<\/span><\/span><\/span><\/span>
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• Understanding Python-based optimization toolkits such as Pyomo, CVXPY GurobiPy, etc.<\/span><\/span>
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• Understanding of machine learning concepts such as classification, deep learning, deep neural networks (DNN), reinforcement learning, and regression problem solving techniques<\/span><\/span>
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• HUGE PLUS - experience working in production ready coding environments in the energy trading or financial trading sector<\/span><\/span>
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• HUGE PLUS - solid understanding of national energy markets and renewable energy portfolios - PJM, ERCOT, SPP, MISO, NYISO, ISO-NE, and CAISO; capacity prices, regional energy pricing, congestion and curtailment analysis, transmission constraints, interconnection assessments, LMPs (locational marginal pricing), and/or regional supply and demand curves)<\/span><\/span>
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• Ideal candidates for this role will have experience working in Senior, Lead, Principal, Manager, and Director level roles<\/u><\/b> as Software Engineering Manager, Principal Software Architect, ML/AI Engineering Leader, AI Software Engineering Leader, ML Software Development Leader, ML/AI Engineering Manager...etc<\/span><\/span><\/span><\/span>
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<\/html>This offer from "ThinkBAC Consulting" has been enriched by Jobgether.com and got a 82% flex score.

💡 Quick Summary

Seeking a career-building opportunity? The Energy Storage Software Engineering Leader (Manager - Sr.Manager level)Â - REMOTE position is now open for candidates interested in the Work from home Jobs sector. This role in India offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.

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Job Details

Company Name: ThinkBAC Consulting

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The expected salary for Energy Storage Software Engineering Leader (Manager - Sr.Manager level)Â - REMOTE in India is ₹18,000 - ₹28,800 (Est.) per month. Actual compensation may vary based on experience and negotiation.
Yes, Energy Storage Software Engineering Leader (Manager - Sr.Manager level)Â - REMOTE is a remote / work from home position. You can apply from anywhere in India.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Energy Storage Software Engineering Leader (Manager - Sr.Manager level)Â - REMOTE. Previous experience in Work from home Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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