• 8+ years of experience in product development field.
• 2+ years of recent experience in building products on cloud.
• Strong understanding of data structures, algorithms, and designing for performance.
• Strong knowledge in OOPS with .Net, C# or relevant technologies with SQL Server or any RDBMS.
• For Fullstack roles, hands-on experience in development with either Angular, VueJS or React.
• Experience with Microservices Architecture.
• Hands-on experience in building products for Unix systems in addition to Windows
  
• Working knowledge of CI/CD pipelines and AWS/Azure cloud services
• Knowledge of asynchronous programming and WebAPI development is required
• Knowledge and awareness of cloud/ application security is a must (OWASP, PII, GDPR)
• Extensive experience in mentoring junior engineers to success
• Strong logical, analytics and problem-solving skills
• Must be able to work effectively across team boundaries
• Attention to details
• Strong oral and written communication skills

• Graduate/Master's degree in Computer Science, Engineering, or a related discipline
• Strong logical, analytics and problem-solving skills
• Must be able to work effectively across team boundaries
• Attention to details
• Ability to work independently.

About the Position

Reporting to the Software Engineering Manager and as a member of the Development team at IDC, the Associate Software Engineer supports the development of high quality and performant software solutions that address the diverse needs of our customers.

In this role, you will collaborate with senior engineers and cross-functional teams to develop and maintain software systems, contribute to data engineering initiatives, and support the full software development lifecycle. This position offers an opportunity to grow technical expertise while working on large-scale data systems and modern cloud technologies.

Candidate Requirements and Qualifications

• 1–3 years of experience in Python programming with a basic understanding of data structures and algorithms.
• Exposure to developing or maintaining data pipelines for structured or unstructured datasets.
• Familiarity with Python-based data processing and web scraping tools such as Beautiful Soup or similar libraries.
• Basic knowledge or exposure to cloud-based data technologies such as Azure Data Lake, Azure Data Factory, or Azure Databricks is desirable.
• Working knowledge of SQL or similar relational databases is required.
• Exposure to additional programming languages such as C#, Java, or similar is a plus.
• Strong problem-solving mindset and ability to write clean, maintainable code.
• Good communication and collaboration skills, with a willingness to learn from senior engineers and contribute to team success.
• Demonstrated curiosity and eagerness to learn new technologies in a fast-paced engineering environment.

Key Accountabilities & Duties

• Assist in developing, testing, and maintaining data pipelines and software systems that support large-scale data processing.
• Support efforts to improve data reliability, performance, and quality within existing systems.
• Work collaboratively with software engineers, data analysts, and data scientists to prepare and manage datasets used in analysis and applications.
• Participate in code reviews, testing, and debugging to ensure software quality and performance.
• Contribute to the development and maintenance of databases and data processing systems.
• Follow best practices in software development, including documentation, testing, and version control.
• Support the team in maintaining and improving data engineering workflows and processes.
• Continuously learn new tools, frameworks, and technologies to improve development capabilities.

About the Position

Reporting to the Software Engineering Manager as a member of the Development team at IDC, the Software Engineer is responsible for delivering quality and performant software and design to handle the vast array of use cases that our customers have today. This role is responsible for developing software solutions by learning information needs, discussing with managers, studying systems flow, data usage, finding problem areas, coming up with solutions, and following the software development lifecycle.

Candidate Requirements and Qualifications

• 3-5 years of experience in Python programming and data structure and algorithms.
• Experience in developing data pipelines for large-scale, complex datasets from varieties of data sources.
• Data engineering expertise with strong experience working with Python, Beautiful Soup, and web scraping.
• Knowledge with cloud-based data technologies such as Azure Data Lake, Azure Data Factory, and Azure Data Bricks is optionally desirable.
• Moderate coding skills. SQL or similar is required. C# or other languages are strongly preferred.
• Outstanding communication and collaboration skills. You can learn from and teach others.
• Strong drive for results. You have a proven record of shepherding experiments to create successful shipping products and services.

Key Accountabilities & Duties

• Develop, test, and maintain architectures, such as databases and large-scale processing systems, using high-performance data pipelines.
• Recommend and implement ways to improve data reliability, efficiency, and quality.
• Identify performant features and make them universally accessible to our teams across EE.
• Work together with data analysts and data scientists to wrangle the data and provide quality datasets and insights to business-critical decisions.
• Take end-to-end responsibility for the development, quality, testing, and production readiness of the services you build.
• Define and evangelize data engineering best standards and practices to ensure engineering excellence at every stage of the development cycle.
• Act as a resident expert for data engineering, feature engineering, and exploratory data analysis.

About the Position

The Algorithm Developer is responsible for developing and maintaining the optimization engines and ancillary calculations in our products. These form a core part of the overall company’s platform offering and require in-depth domain knowledge and mathematical programming experience. Not only does this role address the platforms content software development needs, but it also covers the technical support element to the business. This includes interaction with clients to understand the domain issues they are trying to solve, as well as the implementation of these solutions.

Key Accountabilities and Duties
Algorithm Design and Development:

• Research new and emerging technologies in the energy domain (concentrating on specific areas, e.g. transmission developments, market rules, etc.)
• Propose concise and performant formulation specifications for new features required
• Develop the proposed feature/s while maintaining high quality coding standards (see “High Code Quality Contribution” accountability)
• Design, develop, review, re-factor, and maintain software with quality and performance in mind
• Collect feedback from design and technical staff on development needs
• Conduct technical testing to resolve existing or introduced problems
• Engage in requirement specification process for new software functionality
• Produce technical documentation such as incremental design specifications and user manuals.

Technical Support:

• Liaise with colleagues and clients to reproduce and correct any defective software
• Provide technical advice and suggestions to customers
• Ensure high priority items are addressed urgently, providing timely responses
• Understand the clients query, answering technical queries concisely in language they understand (i.e. understand the domain).

High Code Quality Contribution:

• Produce concise high-quality code, with performance and memory considerations at the forefront of any design
• Develop and demonstrate functionality through PoC (proof of concept) builds
• Understand core programming paradigms
• Experience with core development fundamentals, e.g. system architecture, memory management, parallel processing, base classing, etc.
• Add to engineering team’s culture of high code quality.

Global Team Interaction and Collaboration:

• Seek support from local and global developer teams when required
• Recommend solutions and options to global team when required
• Participate in global projects and attend stakeholder meetings, as and when required (often outside of “normal” work hours, due to the global nature of the meetings).

Required Knowledge, Skills and Experience:

• 3+ years of experience with .NET (including VB.NET and C#), and other development languages (e.g. C++, Python, etc.)
• Strong mathematical skills, with solid theoretical background in numerical analysis and optimization techniques
• Experience working in an Agile development environment
• Experience with linear and mixed integer programming tools
• Familiarity with analytical tools, such as Unit Commitment, Economic Dispatch, Load Flow, Contingency Analysis, etc.
• A deep understanding of Operations Research
• Strong knowledge and experience working with complex models
• Strong knowledge and experience working with energy system modelling and simulation, analysis and operation, optimization and numerical analysis methodology.
• Ability and willingness to work independently and collaboratively
• Ability to interact effectively with team members
• Ability and desire to effectively present to others
• Driven and passionate about the code and products being produced.

Education:
• Bachelor's Degree in Computer Science or a related field / Master’s in operations research, Industrial Engineering, or other related field. 
• Post graduate degree (MSc, PhD, etc.), comp science, Maths, in relevant field.

About the Role
Energy Exemplar is the market leader in Energy Simulation Software. We exist so that our customers can make the most informed decisions at the most impactful times and want you to be part of that success. We are calling for Energy Market Analyst to work with our team that develops simulation ready datasets in Pune/Bengaluru.

Key Accountabilities and Duties:

Accountabilities:
• Reporting to Global Director of Data and Market Analysis
• Helping to supervise the development and maintenance of Global (North America/Europe/APAC regions) Power and Natural Gas Market models/dataset using PLEXOS/Aurora tools
• Lead and coordinate market research, model updates, result analysis, model benchmarking etc.

Day to day duties:
• Work in a team of energy data analysts 
• Work on projects to deliver standalone dataset and portions of dataset using fundamental data along with PLEXOS and Aurora power market models
• Applying heir knowledge in various power market to direct that analysis of power markets, undertaking research, analyzing and manipulating data and processing data for input into power market models
• Trouble shooting market models
• Benchmarking production cost models
• Running PLEXOS and/or Aurora and or directing others analysts in running and interpreting output model results and energy balances
• Comparing models and reviewing preliminary forecast output results for  inconsistencies to ensure deliveries meet product specification
• Problem solving and interpretation of market models and ability to detect errors and omissions
• Troubleshoot market models and intermediate work products for errors, omissions, and improvements. 

Foundation Skills and :
• Experience with energy market modelling
• High level of numeracy, computer, and web literacy. 
• Strong foundational skills and understanding of energy economics for power market fundamentals and economic concepts of power markets 
• Knowledge of production cost modelling software’s like PLEXOS (preferred), Aurora or Pro-mod, or similar 
• Expert knowledge of Power Plant/Natural Gas Economics, Power Systems, Gas supply chain, Operation research/Optimization techniques, statistics, and Energy (Power &/ Gas) Markets/Industry 
• Knowledge and experience with transmission planning and nodal market modeling including generator mapping, assessing N-x contingencies, understanding and troubleshooting nodal model infeasibilities and other planning related power flow analysis
• Demonstrated ability to work autonomously, direct other analyst productively, and oversee projects/assignments through from start to finish.
• Self-starter, organized, persistent, goal driven, has a can-do attitude, takes challenges as opportunities to perform and add value
• Diligent, systematic, and pays attention to detail to ensure work accuracy and quality
• Punctual, Professional work and phone etiquette

Experience:
• 2 to 4 years of experience with Energy Modeling and Power Market Analysis.
• Knowledge of or experience working in several North American, European or Asian power markets
• Strong analytical and problem-solving skills with the ability to research and learn new techniques
• Experience in creating and analyzing energy data sets for power models 
• Experience working at a market operator, project developer, or at a utility in planning or commercial operations would be an asset
• Knowledge of one or more energy economic modeling tools: PLEXOS, Aurora, PROMOD, PSO, Market Analytics and/or PROSYM
• Strong organizational skills, familiarity with Agile/Sprint Best Practices
• Expert skills using Excel, Power BI and similar tools

Qualifications:
• Bachelor’s degree in Economics (preferred), Electric Engineering (Transmission preferred), or Mathematics.  Master’s degree or Ph.D would be preferred.

About the Position  

CISO is a critical role for Energy Exemplar to protect and safeguard organization’s digital assets, employee and customer data in today’s evolving threat landscape. The CISO will handle cybersecurity threats, respond to incidents, regulatory requirements, and technological advancements while contributing to EE’s overall strategic objectives and resilience. Cyber is one of the top operational risks for Energy Exemplar as we have had a rapid growth in our head count, and expanded our SaaS and Product offering organically and through acquisitions.  This role will ensure that Energy Exemplar will have the appropriate leadership with known skillsets, expertise, and experience to manage those risks across the organization  

Key Stakeholder Relationships  

This position works closely and collaboratively with all Energy Exemplar staff but in particular:  

• Product Engineering, DevOps, Information Technology Team  

• Legal, Finance, Sales and Global Leadership Team  

Key Accountabilities and Duties  

• Leadership and Strategy: Develop and implement a comprehensive information security strategy aligned with the company’s business objectives. Lead the Information Security team, providing guidance, mentorship, and support to ensure the team’s success.   

• Application Security: Oversee and enhance Energy Exemplar’s product security program, ensuring secure software development practices are integrated throughout the SDLC.   

• Certifications: Successfully lead Audit process for SOC2, ISO 27001 and similar certifications for regulatory boards for industry sectors that EE’s products are sold.  

• Incident Response / Management: Lead efforts in detecting, responding to, and recovering from security incidents, including having the technical aptitude to understand and own the incident (and all comms) and follow-up remediation and prioritization.  

• Risk Assessment: Continuously evaluate cybersecurity risks and enforce measures / controls to mitigate them.  

• Compliance: Ensure compliance with relevant security regulations and standards, and be able to present to regulators in case of an issue or any inquiries  

• Security Awareness: Promote a culture of security awareness and best practices among employees.  

• Manage Security Technologies: Oversee the adoption and management of effective security tools and practices.  

• Customer Engagement: Any of your most seasoned customer’s tech and cyber leadership on why cyber is managed exceptionally  

• Vendor / 3rd Party Risk Management: Assess and manage the security implications of third-party partnerships.  

• Budgeting: Manage and allocate resources efficiently to support the company’s security initiatives.  

• Executive Reporting: Communicate the status and needs of the security program to senior management and stakeholders, and be able to clearly articulate and define the trade-offs on specific cyber risks  

Candidate Requirements  

Skills, Knowledge and Experience:  

• A breadth of hands-on and senior leadership experience in security, engineering, or DevSecOps management.  

• In-depth understanding of security technologies such as intrusion detection, content filtering, threat patterns, security architecture, application architecture, and compliance criteria.  

• Thorough understanding of SDLC and Application Security Policies, Design and Documentation.  

• Experience with enforcing secure coding practices, threat modeling, identity and access management, and security incident response and recovery.   

• Deep knowledge of cloud security, network security, data protection, and security in a software development environment.   

• Thorough understanding of Risk Management principles (Risk Register and Cyber risks).  

• Fundamental understanding of Incident Management and Security and Cloud Operations.  

• Experience with ethical hacking, computer forensics, information assurance, and intrusion detection and prevention methodologies  

• Experience securing and navigating cloud platforms, such as Azure and AWS platforms.  

• Knowledge of security technologies (IDS, SIEM), cloud security monitoring technologies and the desire to remain technically hands-on, but also operate on a strategic level.  

• Deep knowledge of relevant security and compliance frameworks, standards, and regulations (such as SOC2, NIST, ISO270xx).   

• In-depth understanding of data protection laws and regulations, including GDPR and other relevant legislation in regional jurisdiction.   

• Deep expertise across security, privacy, audits, and legal security standards, guidelines, and principles within a large, highly distributed, complex global organization.   

• Able to effectively partner with cross-functional teams including Product Engineering, Cloud Operations, IT, Finance, Legal and HR to coordinate activities and accomplish goals.   

• Excellent communication skills, especially the ability to communicate security and risk-related concepts to technical and non-technical audiences.  

• Track record of building, growing, and maintaining high-performing security teams (US and India), driving transformation in a growth environment  

Qualifications:  

• Bachelor's Degree required in Computer Science, Engineering or technical field.   

• Minimum of 10+ years of experience in information security, with 5+ years in a leadership role.  

• Proven experience in application security, including secure coding practices, cloud operations, and vulnerability management.  

• In-depth knowledge of application security frameworks and best practices.  

• Proficiency with security tools such as static and dynamic analysis tools, vulnerability scanners, penn testing.  

• Hands-on experience with secure software development methodologies and DevSecOps practices.  

• Certifications (CISSP, CISA, CISM, CEH, OSCP or GSEC) preferred  

About the Role

Energy Exemplar is the leader in energy market/system simulation software, with its two platforms: PLEXOS and AURORA. These software platforms have a significant presence in global markets. We are seeking a confident, self-motivated and professional person for the role of Energy Market Analyst in our Support Division. The company has consistently grown its global client base and the successful candidate will have many opportunities to interface with a diverse mix of clients with the goal of enhancing their software user experience.

Responsibilities:
•    Learn our software to an advanced level
•    Provide technical support to customers and track support cases from start to finish
•    Work with clients to resolve issues related to our SaaS/Cloud offerings and our Desktop version
•    Collaborate with Cloud Developers and Engine/GUI Developers to ensure issues are resolved and development requests are properly documented
•    Provide onsite and web-based trainings to existing and potential clients
•    Maintain and update training materials
•    Compose articles and produce videos to educate clients and to market our software.
•    Construct tools and examples that clients can utilize to more effectively utilize our software
•    Assist in maintaining software user documentation and help platforms
•    Maintain a high level of power market knowledge, news, trends and developments
•    Communicate market trends and customer requirements with the development team as needed
•    Assist Account Management with Retention calls and visits with clients
•    Assist in preparation and presentations for energy related tradeshows and conferences
•    Travel to client sites as required

Qualifications, Skills & Experiences:
•    Bachelor’s degree: Electrical Engineering, Another Engineering Degree, Statistics, Computer Science, Information Systems, Economics, Applied Math, Physics, or related field.
•    Strong analytical and problem-solving skills with the ability to research and learn new techniques
•    Ability to articulate the business problem to be analyzed, quickly identify the critical elements of the problem, achieve a high-quality answer in a timely fashion, and synthesize answers to resonate with decision makers
•    Excellent communication skills, including strong verbal, presentation, and technical writing abilities
•    Team player, with the ability to be a self-starter and work independently as needed.

Education:
•    2 to 4 years of demonstrated working knowledge of power plant operations, electricity and gas markets.
•    Knowledge of fundamental energy market analysis, capacity markets, environmental markets, demand side management/energy efficiency, electric utility resource planning approaches
•    Demonstrated working knowledge of SaaS products and experience troubleshooting issues with Cloud offerings
•    Demonstrated capability of effectively communicating complex ideas and analysis verbally, in document format (Word), and in presentation format (Power Point).
•    Experience with computer and database management languages such as VBA, Python and SQL
•    Working knowledge of the Microsoft Office suite (Excel, PowerPoint, Word, etc.)
•    Experience with power market production cost and expansion planning models.
•    Degree or certificate specializing in Power Markets.

Key Stakeholder Relationships
This role works collaboratively with all Energy Exemplar staff, particularly:

•    Indian Development Centre colleagues
•    Senior IDC Management
•    Chief Product Officer
•    Global Product Delivery Team
•    Global Product Development Team
•    Global Support Team

Role Overview

We are seeking a detail-oriented and data-driven Marketing Operations Manager to support and scale our global marketing function. This role will play a critical part in establishing, optimizing and scaling marketing processes, managing marketing technology (MarTech), and ensuring high-quality data and reporting to drive effective decision-making.

You will partner closely with the global and regional marketing teams, sales, and revenue operations to optimize campaign performance, streamline workflows & processes, and enhance the overall efficiency of our marketing efforts across the lead lifecycle. 

Key Responsibilities

Marketing Systems & Tools 

- Own and manage marketing automation platforms (e.g. HubSpot, LinkedIn) and CRM integrations (e.g. Salesforce) 

- Serve as the primary HubSpot owner, establishing governance, best practices and system architecture 

- Ensure seamless data flow between marketing and sales systems 

- Evaluate and implement new tools to support marketing effectiveness 

Campaign Operations & Processes 

- Support the setup, execution, and optimization of global marketing campaign operations 

- Standardize campaign processes and workflows across regions 

- Define and implement a consistent campaign tracking and attribution framework aligned to business KPIs 

Data Management & Governance 

- Maintain data integrity across marketing systems, ensuring compliance with GDPR and other data privacy regulations 

- Develop and enforce data standards, naming conventions, and best practices 

- Establish processes to prevent duplicate records, standardize data and key segmentation fields, and enrich data to enable effective targeting & reporting 

- Audit existing fields, workflows, and data structures to eliminate duplication and inconsistencies 

- Own and optimize email subscription types, consent management, and opt-in processes to ensure compliance and usability in collaboration with Legal & RevOps 

- Implement marketing & non-marketing contact management framework to improve database health in HubSpot 

- Standardize forms and associated fields; ensure proper data capture, routing & workflow integration from all inbound sources 

Lead Lifecycle & Funnel Management 

- Own and optimize the end-to-end lead lifecycle, including lead capture, lead management, scoring, qualification and routing processes 

- Build and maintain automated workflows for lead management and inbound nurture programs 

- Ensure clear alignment with Marketing, Sales & RevOps on lead definitions, SLAs, and routing processes 

- Optimize inbound lead deal creation processes and ensure accurate syncing between HubSpot and Salesforce in collaboration with RevOps & MDRs/SDRs 

Reporting & Analytics 

- Establish standardized reporting frameworks aligned to executive and board-level KPIs (e.g., MQLs, funnel conversion rates, pipeline impact, ROI) 

- Build and maintain dashboards and reports on key marketing KPIs (e.g. pipeline contribution, conversion rates, ROI, content & channel performance, campaign impact, etc.) 

- Provide insights and recommendations to improve campaign and channel performance 

Process Optimization 

- Identify inefficiencies and implement scalable processes across the marketing function 

- Establish best practices, document workflows and create SOPs for global consistency 

- Support alignment between marketing, sales, and revenue operations through improved lead management processes 

Key Qualifications 

- 3 to 6 years of experience in marketing operations, revenue operations, or a related field. 

- Hands-on experience with marketing automation platforms and CRM systems (e.g. Salesforce); deep HubSpot expertise required (including workflows, data structure, reporting and integrations) 

- Strong analytical skills with the ability to translate data into actionable insights 

- Experience working in a global or cross-regional environment is preferred 

- Understanding of lead lifecycle management, campaign tracking, and attribution models 

- Familiarity with GDPR and data privacy best practices 

- Excellent attention to detail and project management skills 

- Strong stakeholder management and communication skills 

- Proven experience establishing system governance, data hygiene processes, and cross-functional alignment 

What Success Looks Like 

- Clean, reliable, and actionable marketing data across all systems 

- Improved campaign performance through better tracking and optimization 

- Strong alignment between marketing sales, and revenue operations on lead management and pipeline generation 

- Scalable processes that support global growth 

- Clearly defined and automated lead lifecycle with consistent routing and scoring 

- Standardized reporting aligned to business and board-level KPIs.

About the Position

The Senior Cloud Operations Engineer will be responsible for deploying, managing, optimizing, and securing cloud infrastructure across Azure (preferred), AWS, or GCP environments. This role requires strong hands‑on experience working in production environments, implementing automation, managing incidents, ensuring platform stability, and driving cloud cost optimization through FinOps best practices. The ideal candidate will have deep expertise in scripting, Kubernetes orchestration, monitoring, ITIL processes, database operations, and cloud security/compliance practices.

Key Responsibilities

Cloud Infrastructure & Operations

• Deploy, administer, and manage cloud environments (Azure preferred; AWS/GCP experience acceptable).
• Handle day‑to‑day Cloud Ops tasks including compute, storage, networking, security, and identity operations.
• Manage production workloads ensuring high availability, reliability, and performance.
• Implement DR (Disaster Recovery) strategies, backup policies, and environment resilience.
• Manage patching, release management schedules, and rollout execution.

Automation & Scripting

• Develop automation scripts using Bash or Python for operational efficiency and environment provisioning.
• Work with Infrastructure‑as‑Code tools, CI/CD concepts, and operational automation frameworks.

Monitoring, Logging & Troubleshooting

• Configure and manage monitoring systems, preferably Prometheus and Grafana.
• Perform log analysis, exception debugging, and performance troubleshooting (App Insights / App Config / Logging tools).
• Handle incidents with strong focus on quick service restoration and RCA documentation.

Security, Compliance & Vulnerability Management

• Work on vulnerability remediation, cloud security best practices, and audit readiness.
• Ensure adherence security policies, and enterprise compliance standards.

Database & OS Management

• Manage SQL‑based databases—query optimization, performance checks, health monitoring.
• Work with Linux and Windows OS administration, troubleshooting, patching, and configuration.

Cloud Optimization & FinOps

• Work on cloud cost optimization initiatives including rightsizing, reservation planning, and usage governance.
• Implement and promote FinOps best practices within the team.

Containerization & Orchestration

• Work with Kubernetes cluster deployment, troubleshooting, scaling, and cluster operations.

Required Skills & Experience

• 3–6 years of hands‑on CloudOps / Cloud Engineering experience.
• Strong expertise in Azure administration (preferred). Knowledge of AWS or GCP is a plus.
• Experience in scripting (Bash or Python).
• Proficient in Kubernetes cluster operations.
• Experience managing production environments with strong troubleshooting capabilities.
• Good understanding of SQL databases (queries, performance tuning).
• Solid knowledge of Linux and Windows operating systems.
• Practical experience with Prometheus, Grafana, and cloud-native monitoring tools.
• Experience with cloud cost optimization and FinOps practices.
• Experience with vulnerability management, security controls, and audit processes.
• Working knowledge of ITIL processes (Incident, Change, Release, Asset Management).
• Familiar with modern AI tools and ability to leverage them for improving operational efficiency.

Preferred Certifications

• Azure Administrator Associate (AZ‑104) or higher.
• AWS/GCP certifications (good to have).
• FinOps Practitioner Certification (added advantage).

Traits / Soft Skills

• Strong analytical, problem‑solving, and service‑oriented mindset.
• Ability to work cross‑functionally with product, engineering, and security teams.
• Excellent communication and documentation skills.
• Curious, self‑driven, and passionate about continuous learning.
• Strong ownership of operational excellence, quality, and automation-first thinking.

About the Position

The Senior Algorithm Developer is responsible for developing and maintaining the optimization engines and ancillary calculations in our products. These form a core part of the overall company’s platform offering and require in-depth domain knowledge and mathematical programming experience. Not only does this role address the platforms content software development needs, but it also covers the technical support element to the business. This includes interaction with clients to understand the domain issues they are trying to solve, as well as the implementation of these solutions.

Key Accountabilities and Duties
Algorithm Design and Development:

• Research new and emerging technologies in the energy domain (concentrating on specific areas, e.g. transmission developments, market rules, etc.)
• Propose concise and performant formulation specifications for new features required
• Develop the proposed feature/s while maintaining high quality coding standards (see “High Code Quality Contribution” accountability)
• Design, develop, review, re-factor, and maintain software with quality and performance in mind
• Collect feedback from design and technical staff on development needs
• Conduct technical testing to resolve existing or introduced problems
• Engage in requirement specification process for new software functionality
• Produce technical documentation such as incremental design specifications and user manuals.

Technical Support:

• Liaise with colleagues and clients to reproduce and correct any defective software
• Provide technical advice and suggestions to customers
• Ensure high priority items are addressed urgently, providing timely responses
• Understand the clients query, answering technical queries concisely in language they understand (i.e. understand the domain).

High Code Quality Contribution:

• Produce concise high-quality code, with performance and memory considerations at the forefront of any design
• Develop and demonstrate functionality through PoC (proof of concept) builds
• Understand core programming paradigms
• Experience with core development fundamentals, e.g. system architecture, memory management, parallel processing, base classing, etc.
• Add to engineering team’s culture of high code quality.

Global Team Interaction and Collaboration:

• Seek support from local and global developer teams when required
• Recommend solutions and options to global team when required
• Participate in global projects and attend stakeholder meetings, as and when required (often outside of “normal” work hours, due to the global nature of the meetings).

Required Knowledge, Skills and Experience:

• 5+ years of experience with .NET (including VB.NET and C#), and other development languages (e.g. C++, Python, etc.)
• Strong mathematical skills, with solid theoretical background in numerical analysis and optimization techniques
• Experience working in an Agile development environment
• Experience with linear and mixed integer programming tools
• Familiarity with analytical tools, such as Unit Commitment, Economic Dispatch, Load Flow, Contingency Analysis, etc.
• A deep understanding of Operations Research
• Strong knowledge and experience working with complex models
• Strong knowledge and experience working with energy system modelling and simulation, analysis and operation, optimization and numerical analysis methodology.
• Ability and willingness to work independently and collaboratively
• Ability to interact effectively with team members
• Ability and desire to effectively present to others
• Driven and passionate about the code and products being produced.

Education:
• Bachelor's Degree in Computer Science or a related field
• Post graduate degree (MSc, PhD, etc.), comp science , Maths, in relevant field.

• 9+ years of experience in product development field
• 2+ years of recent experience in building products on cloud
• Strong understanding of data structures, algorithms, and designing for performance
• Strong knowledge in OOPS with .Net, C# or relevant technologies with SQL Server or any RDBMS
• For Fullstack roles, hands-on experience in development with either Angular, VueJS or React
• Experience with Microservices Architecture
• Hands-on experience in building products for Unix systems in addition to Windows
  
• Working knowledge of CI/CD pipelines and AWS/Azure cloud services
• Knowledge of asynchronous programming and WebAPI development is required
• Knowledge and awareness of cloud/ application security is a must (OWASP, PII, GDPR)
• Extensive experience in mentoring junior engineers to success
• Strong logical, analytics and problem-solving skills
• Must be able to work effectively across team boundaries
• Attention to details
• Strong oral and written communication skills

• Graduate/Master's degree in Computer Science, Engineering, or a related discipline
• Strong logical, analytics and problem-solving skills
• Must be able to work effectively across team boundaries
• Attention to details
• Ability to work independently
  
  #LI-RK1
  
  

About the Position

Reporting to the Software Engineering Manager and as a member of the Development team at IDC, the Software Engineer is responsible for delivering quality and performant software and design to handle the vast array of use cases that our customers have today. This role is responsible for Developing Software Solutions by learning information needs, discussing with managers, studying systems flow, data usage, finding problem areas and coming up with solutions & following the software development lifecycle.

Candidate Requirements

• Responsible for technical development of multiple projects & products
• Working on data structures & algorithms, time & space complexity, OOPs
• Transforming Logic to Code
• Designing and developing UI front end Technologies.
• Working on web application development
• Developing products by using different technologies
• Doing optimization of Code
• Working on Debugging and fixing Cross Browser Compatibility issues and Optimization for web by using best practices
• Making sure that Web applications are secure
• DevOps transformation using Agile and SCRUM methodologies.
• Provide recommendations for continuous improvement.
• Work alongside other team members & Leaders to elevate technology and consistently apply best practices.

Qualifications, Skills & Experience

• BE / B.Tech / M.Tech in Computer Science or a related field
• 3 – 5 years’ experience in product development field with hands on experience.
• Experience building large scalable systems
• Recent experience in building products on cloud is a plus
• Knowledge of asynchronous programming and Web API development is required
• Knowledge and awareness of cloud/ application security is must (OWASP at the minimum)
• Strong knowledge in OOPS with C#, .Net (or Java) with SQL Server or any RDBMS
• Strong experience in architecting and building multi-threaded, distributed systems.
• Strong knowledge of data structures, algorithms, and designing for performance.
• Ability to achieve stretch goals in a highly innovative and fast paced environment.
• Extensive experience of mentoring junior engineers to success.
• Experience with Microservices Architecture is a plus
• Working knowledge of CI/CD pipelines and AWS/Azure cloud services is plus
• Hands on experience of building products for UNIX systems in addition to windows is a plus
• Excellent Communicatiion

About the Position

We are looking for an Energy Market Analyst/Senior EMA to join our India-based team, focusing on essential tasks within production cost model development and technical delivery of solutions. This role involves responsibilities that contribute directly to the model building, curation, maintenance, enhancement, and testing to ensure our solutions remain cutting-edge and relevant to the evolving market needs. The role also involves remaining abreast of energy market related regulations and policies primarily for the India region.  

Key Accountabilities and Duties

1. Research and Data Management 

• Conduct initial research, data sourcing, and preliminary analysis to build and then inform model adjustments. 
• Process and validate large datasets (load, renewable profiles, generator data) 
• Use Python, Excel, or similar tools to automate workflows and improve efficiency 
• Support data preparation, cleansing, and structuring to maintain data integrity and facilitate accurate modeling. 
• Maintain organized model structures and create reusable assets  

2. Model Development/Enhancement 

• Translate client objectives into clear analytical tasks 
• Build, configure, and maintain PLEXOS models for various use cases including but not limited to Resource Adequacy, Production cost and market simulations and Long-term planning and capacity expansion 
• Support senior analysts in identifying and implementing model enhancements, such as integrating new data sources or refining model assumptions. Contribute by conducting initial research, data sourcing, and preliminary analysis to inform model adjustments. 
• Perform regular updates to energy market models, incorporating bulk data transfers and ensuring model parameters align with the latest market data. 
• Support data preparation, cleansing, and structuring to maintain data integrity and facilitate accurate modeling. 

3. Scenario Analysis and Sensitivity Testing: 

• Assist in developing and running energy market scenarios and sensitivity analyses, adjusting model parameters to test different market conditionss and reporting insights that can aid in decision-making. 
• Execute scenarios and sensitivity analyses to address client questions 

4. Communication and Engagement:  

• Clearly explain modeling assumptions, limitations, and results to internal and external stakeholders.  
• Participate in internal and external meetings, workshops, and training sessions 

5. Report and Dashboard Development: 

• Develop and maintain BI reports and dashboards using Microsoft Power BI, transforming data into visually engaging insights for internal and client presentations. 
• Optimize Excel workbooks and dashboards with large data models to ensure smooth functionality and usability. 

6. Testing and Quality Assurance: 

• Develop test models and conduct test cases to validate results, ensuring model accuracy and stability with each software release. 
• Contribute to model calibration by adjusting input parameters and aligning outputs with historical data benchmarks. 
• Conduct regular quality checks on input data and model assumptions to ensure accuracy, consistency, and alignment with industry standards. Address data discrepancies and coordinate with relevant team members to resolve any data-related issues. 

7. Model Troubleshooting: 

• Provide assistance to client-facing teams by troubleshooting and resolving basic model-related queries. Collaborate with support teams to address client concerns and document common issues and solutions for future reference. 

8. Documentation and Process Improvement: 

• Prepare charts, tables, and summaries explaining results and implications 
• Contribute to written reports and presentation materials 
• Document workflows, processes, and updates to ensure consistent and efficient model management practices. 
• Identify areas for improvement and propose enhancements to streamline processes and boost productivity. 

Candidate Requirements Skills, Knowledge and Experience:  

Educational Background: 

• Bachelor’s degree in Energy Economics, Engineering, Data Science, or a related field. 

Technical Skills: 

• Proficiency with data analysis and visualization tools, particularly Microsoft Power BI and Excel. Experience of optimizing large Excel data models is highly advantageous.  
• Familiarity with programming languages such as Python VBA for data manipulation is a plus. 

Knowledge of Energy Markets: 

• Foundation in energy economics and market structures, with knowledge of Indiaof European energy markets is preferred as a bonus. 
• Understanding of energy market modeling principles and experience interpreting model results. 

Preferred Skills: 

• Prior experience in data modeling software, especially in energy markets. 
• Familiarity with PLEXOS or comparable energy simulation tools. 
• Experience managing and visualizing large datasets for reporting. 

About the Role 
As a Senior Software Engineer - Generative AI at Energy Exemplar, you will play a key role in architecting and scaling AI-powered product capabilities across Energy Exemplar’s simulation and planning platforms. 
This role goes beyond feature delivery and includes designing reusable Agentic AI platforms, enabling multiple product teams to safely and consistently build AI agents aligned with energy-market domain requirements. 

Responsibilities 

• Architect, design and implement end-to-end Generative AI systems, including advanced RAG, and Agentic AI workflows, and multi-modal orchestration across Energy Exemplar products. 

• Design and build Agentic AI platforms that support creation, orchestration, monitoring, evaluation, and governance of AI agents across multiple use cases and teams. 

• Define domain-aware RAG architectures, enabling AI agents to reason over energy market rules, model inputs, constraints, and simulation outputs. 

• Lead development of production-grade AI services using Python and/or .Net/Java, ensuring high reliability and performance for enterprise customers. 

• Design AI data pipelines leveraging Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure Storage (preferred) or equivalent services. 

• Establish standards for prompt management, agent memory, tool invocation, evaluation metrics, observability, and cost control. 

• Collaborate with product managers, energy domain experts, and cloud teams to align AI solutions with real customer workflows. 

• Mentor and guide engineers on AI, backend, and full-stack design best practices. 

• Ensure AI solutions comply with security, compliance, and responsible AI requirements relevant to critical infrastructure software. 

• Influence technical roadmap decisions related to AI platforms and capabilities. 

• Stay current with advancements in Agentic AI, Azure AI services, and enterprise AI architecture patterns. 

 Qualifications, Skills & Experience 

• 5–10 years of professional software engineering experience with strong expertise in Python and/or .Net/ Java. 

• Proven experience delivering production Generative AI solutions, including RAG implementations, at scale. 

• Demonstrated ability to design and build Agentic AI agents & platforms 

• Deep understanding of LLMs, agent orchestration patterns, vector search, prompt optimization, memory strategies, and evaluation frameworks. 

• Hands-on experience with cloud-native architecture (preferably Azure), containers, and orchestration platforms. 

• Solid background in distributed systems, api-driven architectures, and product-scale platform design 

• Experience leading technical design discussions and mentoring engineers. 

• Strong debugging, performance tuning, and problem-solving skills. 

• Excellent communication skills, capable of influencing both technical and non-technical stakeholders. 

• Ability to balance innovation with engineering rigor and long-term maintainability. 

About the Role
Energy Exemplar is the market leader in Energy Simulation Software. We exist so that our customers can make the most informed decisions at the most impactful times and want you to be part of that success. We are calling for Senior Energy Market Analyst to work with our team that develops simulation ready datasets in Pune/Bengaluru. 

Key Accountabilities and Duties:

Accountabilities:
• Reporting to Global Director of Data and Market Analysis
• Helping to supervise the development and maintenance of Global (North America/Europe/APAC regions) Power and Natural Gas Market models/dataset using PLEXOS/Aurora tools
• Lead and coordinate market research, model updates, result analysis, model benchmarking etc.

Day to day duties:
• Work in a team of energy data analysts 
• Work on projects to deliver standalone dataset and portions of dataset using fundamental data along with PLEXOS and Aurora power market models
• Applying heir knowledge in various power market to direct that analysis of power markets, undertaking research, analyzing and manipulating data and processing data for input into power market models
• Trouble shooting market models
• Benchmarking production cost models
• Running PLEXOS and/or Aurora and or directing others analysts in running and interpreting output model results and energy balances
• Comparing models and reviewing preliminary forecast output results for  inconsistencies to ensure deliveries meet product specification
• Problem solving and interpretation of market models and ability to detect errors and omissions
• Troubleshoot market models and intermediate work products for errors, omissions, and improvements. 

Foundation Skills and :
• Experience with energy market modelling
• High level of numeracy, computer, and web literacy. 
• Strong foundational skills and understanding of energy economics for power market fundamentals and economic concepts of power markets 
• Knowledge of production cost modelling software’s like PLEXOS (preferred), Aurora or Pro-mod, or similar 
• Expert knowledge of Power Plant/Natural Gas Economics, Power Systems, Gas supply chain, Operation research/Optimization techniques, statistics, and Energy (Power &/ Gas) Markets/Industry 
• Knowledge and experience with transmission planning and nodal market modeling including generator mapping, assessing N-x contingencies, understanding and troubleshooting nodal model infeasibilities and other planning related power flow analysis
• Demonstrated ability to work autonomously, direct other analyst productively, and oversee projects/assignments through from start to finish.
• Self-starter, organized, persistent, goal driven, has a can-do attitude, takes challenges as opportunities to perform and add value
• Diligent, systematic, and pays attention to detail to ensure work accuracy and quality
• Punctual, Professional work and phone etiquette

Experience:
• 4 to 6 years of experience with Energy Modeling and Power Market Analysis.
• Knowledge of or experience working in several India, APAC, North American or European power markets.
• Strong analytical and problem-solving skills with the ability to research and learn new techniques
• Experience in creating and analyzing energy data sets for power models 
• Experience working at a market operator, project developer, or at a utility in planning or commercial operations would be an asset
• Knowledge of one or more energy economic modeling tools: PLEXOS, Aurora, PROMOD, PSO, Market Analytics and/or PROSYM
• Strong organizational skills, familiarity with Agile/Sprint Best Practices
• Expert skills using Excel, Power BI and similar tools

Qualifications:
• Bachelor’s degree in Economics (preferred), Electric Engineering (Transmission preferred), or Mathematics.  Master’s degree or Ph.D would be preferred.