Indigrators solutions

The role reports to the Head of Customer Support, and the position holder is part of the Product Team.

Main objectives of the role

·    Focus on customer satisfaction with the product and provide the first-line support.

Specialisation

·    Customer Support

·    SaaS

·    FMCG/CPG

Key processes in the role

·    Build extensive knowledge of our SAAS product platform and support our customers in using it.

·    Supporting end customers with complex questions.

·    Providing extended and elaborated answers on business & “how to” questions from customers.

·    Participating in ongoing education for Customer Support Managers.

·    Collaborate and communicate with the Development teams, Product Support and Customers

Requirements

·    Bachelor’s degree in business, IT, Engineering or Economics.

·    4-8 years of experience in a similar role in the IT Industry.

·    Solid knowledge of SaaS (Software as a Service).

·    Multitasking is your second nature, and you have a proactive + Customer First mindset.

·    3+ years of experience providing support for ERP systems, preferably SAP.

·    Familiarity with ERP/SAP integration processes and data migration.

·    Understanding of ERP/SAP functionalities, modules and data structures.

·    Understanding of technicalities like Integrations (API’s, ETL, ELT), analysing logs, identifying errors in logs, etc.

·    Experience in looking into code, changing configuration, and analysing if it's a development bug or a product bug.

·    Profound understanding of the support processes.

·    Should know where to route tickets further and know how to manage customer escalations.

·    Outstanding customer service skills.

·    Knowledge of Fast-Moving Consumer Goods (FMCG)/ Consumer Packaged Goods (CPG) industry/domain is preferable.

Excellent verbal and written communication skills in the English language

Position of the role

The Principal Engineer reports to the Domain Lead and plays a key role in driving the technical vision, strategy, and execution of development initiatives. The Principal Engineer collaborates with multiple teams to ensure that software solutions are scalable, cost-optimized, performant, and aligned with business objectives.

Result expectation in terms of result areas and core activities

The Principal Engineer is responsible for defining, designing, and overseeing the implementation of complex software solutions. This role involves deep technical expertise, mentorship, and architectural guidance across multiple teams. The Principal Engineer also acts as a thought leader, influencing technology choices, best practices, and innovation within the organization.

Main objectives of the role

✔ Leading the design and architecture of the software by following best practices that ensure scalability, maintainability, cost optimization, and high performance.

✔ Driving innovation and continuous improvements in software development practices.

✔ Providing technical mentorship and coaching to engineers across teams.

✔ Ensuring the successful delivery of high-quality software aligned with business requirements.

✔ Defining and maintaining coding standards, best practices, and governance frameworks.

✔ Collaborating with product management and other stakeholders to shape the technical roadmap.

✔ Identifying technical debt and implementing strategies to mitigate it effectively.

✔ Promoting a culture of continuous learning, knowledge sharing, and cross-team collaboration.

✔ Leading DevOps, CI/CD, and automation to improve software delivery processes and efficiency.

Specialisation

✔ Deep understanding of software architecture, system design, and performance optimization.

✔ Translating complex business requirements into scalable and efficient software solutions.

✔ Handling large data transformations and ensuring system efficiency under the required load conditions.

✔ Leading initiatives for modernizing the technology stack and implementing best practices.

✔ Ensuring that security, scalability, and maintainability are embedded into development processes.

✔ Driving research and development efforts to explore emerging technologies and their business impact.

✔ Enabling teams to develop and maintain high-quality software through code reviews, architecture guidance, and technical strategy.

✔ Collaborating with product owners and stakeholders to ensure that development aligns with business goals and user needs.

Key processes in the role

✔ Agile / Scrum / Kanban development methodologies.

✔ CI/CD and DevOps practices to streamline delivery.

✔ Cloud-native architecture, monolith and microservices-based development.

✔ Scalable and high-performance computing strategies.

✔ Secure software development lifecycle (SDLC).

✔ Data-driven decision-making.

✔ Performance optimization.

Key relationships (teams and/or position titles)

✔ Engineering Teams (Developers, QA, DevOps).

✔ Head of Engineering and Technology Leadership.

✔ Product Management and Business Stakeholders.

✔ Customer Success and Solution Architects.

✔ External Technical Partners and Vendors.

Requirements

✔ Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.

✔ 10+ years of experience in software development, with a proven track record .

✔ Strong experience in Python and modern software engineering practices.

✔ Expertise in cloud computing platforms (AWS, Azure, or GCP).

✔ Experience in architecting and developing scalable, high-performance applications.

✔ Hands-on experience with CI/CD pipelines, DevOps tools, and automation.

✔ Deep understanding of microservices, monolith, APIs, and distributed systems.

✔ Strong experience with database technologies, including SQL and NoSQL.

✔ Excellent communication and leadership skills, with the ability to influence technical decisions across teams.

✔ A passion for mentoring, coaching, and fostering a strong engineering culture.

✔ Experience in defining and implementing technical governance and best practices.

Competences

✔ Strategic Thinking - 4

✔ Analytical Problem Solving - 4

✔ Technical Leadership & Mentorship - 4

✔ Communication & Collaboration - 3

Measures of success

✔ Technical leadership impact - measurable improvements in code quality, architecture, and scalability.

✔ Delivery of high-quality software within agreed timelines and business requirements.

✔ Successful mentorship - improvement in team skill levels, problem-solving capabilities, and innovation.

✔ Reduction of technical debt through strategic refactoring and modernization.

✔ Engineering team satisfaction - based on feedback and collaboration effectiveness.

✔ Improvements in system performance, stability, cost-optimization, and security.

✔ Adoption of best practices and emerging technologies across teams.

✔ Contribution to company-wide strategic initiatives through technical innovation and leadership.

Job Title: Senior AI Engineer 

Job Summary: 

We are seeking experienced Senior AI Engineers to join our AI team and drive the design, development, and deployment of cutting-edge AI solutions. You will work on exciting projects, such as sentiment analysis for support tickets, automated data insights, conversational interfaces, and zero-touch planning using AI. This role requires close collaboration with cross-functional teams, including Product and Data Engineering, to deliver impactful AI-driven features that transform our platform. 

Key Responsibilities: 

• Design, develop, deploy, and maintain ML models and AI infrastructure. 
• Collaborate with cross-functional teams to integrate ML models into production workflows. 
• Utilize AWS services, including Sage Maker and Bedrock, for model deployment and real-time monitoring. 
• Implement and manage CI/CD pipelines to ensure efficient and reliable model deployment. 
• Stay updated with the latest advancements in machine learning and AI best practices. 
• Monitor and optimise model performance, addressing issues related to scalability and efficiency. 
• Troubleshoot and resolve problems related to ML models and infrastructure. 

Requirements: 

• 5+ years of professional experience with Python programming. 
• Hands-on experience with Machine Learning Operations (MLOps). 
• Proven expertise in data engineering and ETL processes. 
• Strong knowledge of AWS services, including Sage Maker 3wand Bedrock. 
• Proficiency in setting up and managing Docker and CI/CD pipelines. 
• Experience with large language models (LLMs) and prompt engineering. 
• Familiarity with model performance monitoring and optimization techniques. 
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. 

Job Description

Job Title: Data Engineer

Location: Hyderabad, India

Job Type: Full Time

Experience: 5 – 8 Years

Working Model: On-Site (No remote or work-from-home options available)

Work Schedule: Mountain Time Zone (3:00 PM to 11:00 PM IST)

Role Overview

The Data Engineer will be responsible for designing and implementing scalable backend systems, leveraging Python and PySpark to build high-performance solutions. The role requires a proactive and detail-orientated individual who can solve complex data engineering challenges while collaborating with cross-functional teams to deliver quality results.

Key Responsibilities

• Develop and maintain backend systems using Python and PySpark.
• Optimise and enhance system performance for large-scale data processing.
• Collaborate with cross-functional teams to define requirements and deliver solutions.
• Debug, troubleshoot, and resolve system issues and bottlenecks.
• Follow coding best practices to ensure code quality and maintainability.
• Utilise tools like Palantir Foundry for data management workflows (good to have).

Qualifications

• Strong proficiency in Python backend development.
• Hands-on experience with PySpark for data engineering.
• Excellent problem-solving skills and attention to detail.
• Good communication skills for effective team collaboration.
• Experience with Palantir Foundry or similar platforms is a plus.

Preferred Skills

• Experience with large-scale data processing and pipeline development.
• Familiarity with agile methodologies and development tools.
• Ability to optimise and streamline backend processes effectively.
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