LogIQ Labs Pvt.Ltd.

Key Responsibilities

• Architectural Leadership: Design end-to-end agentic frameworks using UiPath Agent Builder and Studio Web, moving processes away from rigid "if-then" logic to goal-oriented AI agents.
• Agentic UI Integration: Lead the implementation of UiPath Autopilot and Agentic Orchestration to handle dynamic UI changes, unstructured data, and complex human-in-the-loop escalations.
• Advanced AI Implementation: Deploy and fine-tune models within the UiPath AI Trust Layer, ensuring secure and governed use of LLMs (GPT-4, Claude, etc.) for real-time UI reasoning.
• Infrastructure & Governance: Define the "Agentic Operating Model," establishing guardrails for autonomous agent behavior, security protocols, and scalability within UiPath Orchestrator.
• Stakeholder Strategy: Partner with C-suite stakeholders to identify "Agent-First" opportunities that provide 10x ROI over traditional RPA.
• Mentorship: Lead a CoE (Center of Excellence), upskilling senior developers in prompt engineering, context grounding, and semantic automation.

Required Technical Skills

• Core Platform: Expert-level mastery of UiPath Studio, Orchestrator, and Cloud.
• Agentic Specialization: Proven experience with UiPath Agent Builder, Integration Service, and Document Understanding.
• AI/ML Integration: Deep understanding of AI Center, Vector Databases, and RAG (Retrieval-Augmented Generation) to provide agents with business context.
• Programming: Proficiency in .NET (C#) and Python for custom activity development and AI model interfacing.
• UI Automation: Expert knowledge of modern UI descriptors, Computer Vision, and handling "tricky" environments (Citrix, legacy SAP, mainframe).

Qualifications

• Experience: 10+ years in Software Development/Automation, with at least 5 years specifically in UiPath Architecture.
• Education: Bachelor’s or Master’s in Computer Science, AI, or a related field.
• Certifications: UiPath Advanced Developer (ARD) and UiPath Solution Architect certifications are mandatory. Certifications in AI/ML (Azure AI, AWS Machine Learning) are a significant plus.
• Mindset: A "fail-forward" approach to innovation, with the ability to prototype agentic solutions in fast-paced environments.

Key Responsibilities:

• Architectural Leadership: Design end-to-end agentic frameworks using UiPath Agent Builder and Studio Web, moving processes away from rigid "if-then" logic to goal-oriented AI agents.
• Agentic UI Integration: Lead the implementation of UiPath Autopilot and Agentic Orchestration to handle dynamic UI changes, unstructured data, and complex human-in-the-loop escalations.
• Advanced AI Implementation: Deploy and fine-tune models within the UiPath AI Trust Layer, ensuring secure and governed use of LLMs (GPT-4, Claude, etc.) for real-time UI reasoning.
• Infrastructure & Governance: Define the "Agentic Operating Model," establishing guardrails for autonomous agent behavior, security protocols, and scalability within UiPath Orchestrator.
• Stakeholder Strategy: Partner with C-suite stakeholders to identify "Agent-First" opportunities that provide 10x ROI over traditional RPA.
• Mentorship: Lead a CoE (Center of Excellence), upskilling senior developers in prompt engineering, context grounding, and semantic automation.

Required Technical Skills:

• Core Platform: Expert-level mastery of UiPath Studio, Orchestrator, and Cloud.
• Agentic Specialization: Proven experience with UiPath Agent Builder, Integration Service, and Document Understanding.
• AI/ML Integration: Deep understanding of AI Center, Vector Databases, and RAG (Retrieval-Augmented Generation) to provide agents with business context.
• Programming: Proficiency in .NET (C#) and Python for custom activity development and AI model interfacing.
• UI Automation: Expert knowledge of modern UI descriptors, Computer Vision, and handling "tricky" environments (Citrix, legacy SAP, mainframe).

Qualifications:

• Experience: 10+ years in Software Development/Automation, with at least 5 years specifically in UiPath Architecture.
• Education: Bachelor’s or Master’s in Computer Science, AI, or a related field.
• Certifications: UiPath Advanced Developer (ARD) and UiPath Solution Architect certifications are mandatory. Certifications in AI/ML (Azure AI, AWS Machine Learning) are a significant plus.
• Mindset: A "fail-forward" approach to innovation, with the ability to prototype agentic solutions in fast-paced environments.

• Job Summary
• We are looking for a skilled Python Developer to design, develop, and maintain robust backend systems. You will be responsible for building scalable web applications using the Flask micro-framework and managing high-performance NoSQL data storage with MongoDB. Your role involves creating RESTful APIs, optimizing database queries, and ensuring seamless integration between the backend logic and frontend components.
• Key Responsibilities
• API Development: Design and implement scalable, secure RESTful APIs using Flask.
• Database Management: Architect and maintain MongoDB schemas; develop complex aggregation pipelines and optimize query performance.
• Backend Logic: Write clean, efficient, and testable Python code to handle server-side logic and data processing.
• Performance Optimization: Identify and resolve bottlenecks in the application and database layers to ensure low latency.
• Testing & Security: Implement unit tests (using pytest or unittest) and follow security best practices (OAuth2, JWT, data encryption).
• Collaboration: Work closely with frontend developers to integrate user-facing elements and with DevOps to support deployment.

Required Technical Skills

• Category Requirements; Language Expert-level Python (OOP, decorators, generators, and async programming).Framework Strong experience with Flask (routing, blueprints, middleware).Database Proficiency in MongoDB (BSON, indexing, sharding, and aggregation framework).ODMs/Drivers Experience with PyMongo or Mongo Engine. Architecture Solid understanding of RESTful API design and Microservices.
• Tools/DevOps Version control with Git; familiarity with Docker and CI/CD pipelines

• Company: eShipz (SaaS Logistics Platform for SMBs in India/US)

• Experience: 1-2 years in GTM automation or digital marketing ops
• Location: Remote (Bengaluru preferred) |
• Type: Full-time
• Join eShipz to drive high-MQL campaigns targeting eCommerce/logistics SMBs in India and US. Build automated GTM engines using Clay, Instantly, LinkedIn Sales Nav, and new-age tools for scalable lead gen.

• Key Responsibilities
• Design and execute LinkedIn/Email campaigns via Instantly/Clay for 500+ MQLs/month targeting ERP implementers, Shopify devs, and D2C brands.
• Automate workflows: Lead enrichment (Clay), personalization at scale, CRM sync (HubSpot/Salesforce).
• Optimize funnels: A/B test sequences, track CAC/MQL-to-SQL conversion for India/US markets.
• Integrate tools: Zapier/Make for multi-channel (LinkedIn, email, webinars) to booth registrations/conclave leads.
• Report & iterate: Dashboards on MQL quality, ROI; experiment with AI agents for outbound scaling.
• Collaborate: With founders/marketing on pitch events, reseller programs, urgency-driven execution.
• Required Skills & Experience
• 1-2 years hands-on with Clay, Instantly, LinkedIn automation (Lemlist/Expand a plus).
• Proven MQL gen: 100+ leads/mo via automated campaigns for SaaS/fintech/logistics.
• Tech stack: No-code (Zapier, Airtable), SQL basics, HubSpot/Google Analytics.
• India/US focus: Cultural nuances, time zones; sector knowledge (eShipz-like SaaS, ERP/Shopify).
• Soft skills: Data-driven, fast execution, startup hustle mindset.

What We Offer

• High-impact role: Directly fuel pipeline for global conclaves/resellers.
• Tools budget: Clay/Instantly subscriptions, training.
• Growth: Equity potential, remote flexibility, eShipz swag/playbooks.
• Culture: Urgent execution, stand-ups, sprints for rapid wins.

Company Description

eShipz is a rapidly expanding logistics automation platform designed to optimize shipping operations and enhance post-purchase customer experiences. The platform offers solutions such as multi-carrier integrations, real-time tracking, NDR management, returns, freight audits, and more. Trusted by over 350 businesses, eShipz provides easy-to-use analytics, automated shipping processes, and reliable customer support. As a trusted partner for eCommerce businesses and enterprises, eShipz delivers smarter, more efficient shipping solutions. Visit www.eshipz.com for more information.

Role Description



The Python Support Engineer role at eShipz requires supporting clients by providing technical solutions and resolving issues related to the platform. Responsibilities include troubleshooting reported problems, delivering technical support in a professional manner, and assisting with software functionality and operating systems. The engineer will also collaborate with internal teams to ensure a seamless customer experience. This is a full-time on-site role located in Sanjay Nagar, Greater Bengaluru Area.

Qualifications

• Strong proficiency in Troubleshooting and Technical Support skills to identify and address software or technical challenges effectively.
• Capability to provide professional Customer Support and Customer Service, ensuring high customer satisfaction and resolving inquiries promptly.
• Proficiency and knowledge of Operating Systems to diagnose and resolve platform-specific issues efficiently.
• Excellent problem-solving, communication, and interpersonal skills.
• Bachelor's degree in computer science, IT, or a related field.
• Experience working with Python and an understanding of backend systems is a plus.

• Technical Skill:
• Python Proficiency: Strong understanding of core Python (Data structures, decorators, generators, and exception handling).
• Frameworks: Familiarity with web frameworks like Django, Flask, or FastAPI.
• Databases: Proficiency in SQL (PostgreSQL/MySQL) and understanding of ORMs like SQLAlchemy or Django ORM.
• Infrastructure: Basic knowledge of Linux/Unix commands, Docker, and CI/CD pipelines (Jenkins/GitHub Actions).
• Version Control: Comfortable using Git for branching, merging, and pull requests.

• Soft Skill:
• Analytical Thinking: A logical approach to solving complex, "needle-in-a-haystack" problems.
• Communication: Ability to explain technical concepts to both developers and end-users.
• Patience & Empathy: Managing high-pressure situations when critical systems are down.

• Work Location: Sanjay Nagar, Bangalore (WFO)

• Work Timing :

• Mon - Fri (WFO)(9:45 A.M. - 6: 15 P.M.)
• 1st & 3rd SAT (WFO)(9:00 A.M. - 2:00 P.M.)
• 2nd & 4th SAT (WFH)(9:00 A.M. - 2:00 P.M.)

An L2 Technical Support Engineer with Python knowledge is responsible for handling escalated, more complex technical issues that the Level 1 (L1) support team cannot resolve. Your primary goal is to perform deep-dive analysis, troubleshooting, and problem resolution to minimize customer downtime and ensure system stability.

Python is a key skill, used for scripting, automation, debugging, and data analysis in this role.

Key Responsibilities

• Advanced Troubleshooting & Incident Management:
• Serve as the escalation point for complex technical issues (often involving software bugs, system integrations, backend services, and APIs) that L1 support cannot resolve.
• Diagnose, analyze, and resolve problems, often requiring in-depth log analysis, code review, and database querying.
• Own the technical resolution of incidents end-to-end, adhering strictly to established Service Level Agreements (SLAs).
• Participate in on-call rotation for critical (P1) incident support outside of regular business hours.
• Python-Specific Tasks:
• Develop and maintain Python scripts for automation of repetitive support tasks, system health checks, and data manipulation.
• Use Python for debugging and troubleshooting by analyzing application code, API responses, or data pipeline issues.
• Write ad-hoc scripts to extract, analyze, or modify data in databases for diagnostic or resolution purposes.
• Potentially apply basic-to-intermediate code fixes in Python applications in collaboration with development teams.
• Collaboration and Escalation:
• Collaborate closely with L3 Support, Software Engineers, DevOps, and Product Teams to report bugs, propose permanent fixes, and provide comprehensive investigation details.
• Escalate issues that require significant product changes or deeper engineering expertise to the L3 team, providing clear, detailed documentation of all steps taken.
• Documentation and Process Improvement:
• Conduct Root Cause Analysis (RCA) for major incidents, documenting the cause, resolution, and preventative actions.
• Create and maintain a Knowledge Base (KB), runbooks, and Standard Operating Procedures (SOPs) for recurring issues to empower L1 and enable customer self-service.
• Proactively identify technical deficiencies in processes and systems and recommend improvements to enhance service quality.
• Customer Communication:
• Maintain professional, clear, and timely communication with customers, explaining complex technical issues and resolutions in an understandable manner.
• 
  

Required Technical Skills

• Programming/Scripting:
• Strong proficiency in Python (for scripting, automation, debugging, and data manipulation).
• Experience with other scripting languages like Bash or Shell
• Databases:
• Proficiency in SQL for complex querying, debugging data flow issues, and data extraction.
• Application/Web Technologies:
• Understanding of API concepts (RESTful/SOAP) and experience troubleshooting them using tools like Postman or curl.
• Knowledge of application architectures (e.g., microservices, SOA) is a plus.
• Monitoring & Tools:
• Experience with support ticketing systems (e.g., JIRA, ServiceNow).
• Familiarity with log aggregation and monitoring tools (Kibana, Splunk, ELK Stack, Grafana)

An L2 Technical Support Engineer with Python knowledge is responsible for handling escalated, more complex technical issues that the Level 1 (L1) support team cannot resolve. Your primary goal is to perform deep-dive analysis, troubleshooting, and problem resolution to minimize customer downtime and ensure system stability.

Python is a key skill, used for scripting, automation, debugging, and data analysis in this role.

Key Responsibilities

• Advanced Troubleshooting & Incident Management:
• Serve as the escalation point for complex technical issues (often involving software bugs, system integrations, backend services, and APIs) that L1 support cannot resolve.
• Diagnose, analyze, and resolve problems, often requiring in-depth log analysis, code review, and database querying.
• Own the technical resolution of incidents end-to-end, adhering strictly to established Service Level Agreements (SLAs).
• Participate in on-call rotation for critical (P1) incident support outside of regular business hours.
• Python-Specific Tasks:
• Develop and maintain Python scripts for automation of repetitive support tasks, system health checks, and data manipulation.
• Use Python for debugging and troubleshooting by analyzing application code, API responses, or data pipeline issues.
• Write ad-hoc scripts to extract, analyze, or modify data in databases for diagnostic or resolution purposes.
• Potentially apply basic-to-intermediate code fixes in Python applications in collaboration with development teams.
• Collaboration and Escalation:
• Collaborate closely with L3 Support, Software Engineers, DevOps, and Product Teams to report bugs, propose permanent fixes, and provide comprehensive investigation details.
• Escalate issues that require significant product changes or deeper engineering expertise to the L3 team, providing clear, detailed documentation of all steps taken.
• Documentation and Process Improvement:
• Conduct Root Cause Analysis (RCA) for major incidents, documenting the cause, resolution, and preventative actions.
• Create and maintain a Knowledge Base (KB), runbooks, and Standard Operating Procedures (SOPs) for recurring issues to empower L1 and enable customer self-service.
• Proactively identify technical deficiencies in processes and systems and recommend improvements to enhance service quality.
• Customer Communication:
• Maintain professional, clear, and timely communication with customers, explaining complex technical issues and resolutions in an understandable manner.
• 
  

Required Technical Skills

• Programming/Scripting:
• Strong proficiency in Python (for scripting, automation, debugging, and data manipulation).
• Experience with other scripting languages like Bash or Shell
• Databases:
• Proficiency in SQL for complex querying, debugging data flow issues, and data extraction.
• Application/Web Technologies:
• Understanding of API concepts (RESTful/SOAP) and experience troubleshooting them using tools like Postman or curl.
• Knowledge of application architectures (e.g., microservices, SOA) is a plus.
• Monitoring & Tools:
• Experience with support ticketing systems (e.g., JIRA, ServiceNow).
• Familiarity with log aggregation and monitoring tools (Kibana, Splunk, ELK Stack, Grafana)

Technical Skills

• Pega Expertise: Strong hands-on experience with Pega PRPC 7.x/8.x platform
• Core Pega Concepts: Deep understanding of Case Management, Case Life Cycle, Data Management, Integration, and Reporting
• UI Development: Proficiency in creating responsive UI using sections, dynamic layouts, and repeating layouts
• Integration: Experience with SOAP/REST web services, connectors, and service packages
• Development Tools: Familiarity with Pega Designer Studio, Dev Studio, and App Studio
• Decisioning: Knowledge of decision rules, decision tables, and decision trees
• Database: Understanding of SQL and database concepts
• Design, develop, and deploy Pega applications using Pega PRPC platform (versions 7.x/8.x)
• Create and configure case types, data types, UI components, flows, activities, and integrations
• Develop reusable components and maintain the application framework
• Implement business logic using decision rules, declare expressions, and data transforms
• Build responsive UI using sections, harnesses, and flow actions

Technical Design

• Analyze business requirements and translate them into technical specifications
• Design class structure following Pega best practices and guardrails
• Create technical design documents and solution architecture diagrams
• Implement integration patterns using SOAP, REST, MQ, and file-based integrations
• Design and optimize database schemas and data models

Quality & Performance

• Conduct unit testing and support integration, system, and UAT testing phases
• Perform code reviews and ensure adherence to Pega guardrails and best practices
• Optimize application performance through proper rule resolution and efficient query design
• Debug and resolve defects during all phases of the software development lifecycle
• Ensure application security and data integrity

Role Summary

We are seeking a proactive and technically skilled Python Application Support Engineer to join our Technical Operations team. This role is crucial for ensuring the stability and reliability of our mission-critical, Python-based applications. You will be responsible for timely incident resolution, deep-dive troubleshooting, implementing permanent fixes, and driving operational efficiency through automation.

🔑 Key Responsibilities

Technical Troubleshooting & Incident Management

• Incident Resolution: Serve as the primary point of contact for complex Level 2 and Level 3 production incidents, diagnosing root causes and resolving issues across our Python application stack.
• Deep-Dive Analysis: Utilize log analysis tools (e.g., Splunk, ELK Stack) and monitoring platforms (e.g., Prometheus, Grafana) to quickly identify and address anomalies in application behavior.
• Code Debugging: Analyze, debug, and fix application issues directly within the Python codebase, including Flask/Django services, worker queues, and custom scripts.
• Database Health: Troubleshoot performance issues and conduct basic SQL/NoSQL query tuning and health checks (e.g., for PostgreSQL, MongoDB, or Redis).

Operational Excellence & Automation

• Monitoring & Alerting: Continuously refine and optimize application monitoring, alerting, and logging configurations to improve mean time to detect (MTTD) and mean time to resolve (MTTR).
• Python Automation: Develop, maintain, and enhance automated scripts (primarily in Python) to streamline routine operational tasks, reporting, health checks, and system recovery processes.
• Documentation: Create and maintain comprehensive documentation, runbooks, and knowledge base articles for application support procedures and recurring issues.

Collaboration & Prevention

• Cross-Functional Fixes: Collaborate closely with the Development and DevOps teams to provide clear technical feedback on recurring issues and implement permanent, scalable solutions.
• Proactive Maintenance: Identify potential system bottlenecks, performance degradation points, and areas prone to failure, recommending and implementing preventative measures.

⚙️ Required Qualifications

• Experience: 3 to 5 years of professional experience in Application Support, Production Support, Site Reliability Engineering (SRE), or a similar technical role.
• Python Expertise (Mandatory): Strong hands-on experience with Python scripting and programming, including the ability to read, debug, and modify application code.
• Operating Systems: Proficient working knowledge of Linux/Unix environments and shell scripting.
• Databases: Solid experience with relational (e.g., PostgreSQL, MySQL) and/or NoSQL (e.g., MongoDB, Redis) databases, focusing on query analysis and performance.
• 
  

Market & Customer Intelligence

• Market Analysis: Conduct continuous research on the competitive landscape, market trends, and industry developments to identify opportunities and challenges.
• Customer Insights: Deeply understand target personas, their pain points, and how they use the product. Gather and synthesize qualitative and quantitative feedback from customers, sales, and support teams.
• Pricing Strategy: Collaborate with Product and Finance teams on pricing and packaging strategies based on market value and competitive analysis.

2. Positioning & Messaging

• Develop clear, differentiated, and compelling product positioning and messaging that resonates with target audiences and highlights unique value propositions.
• Create and maintain core messaging documentation (e.g., messaging matrices, key benefits, and use cases) for all product lines.

3. Product Launch & GTM Strategy

• Lead the planning and execution of comprehensive Go-to-Market strategies for new features and major product releases.
• Coordinate across departments (Sales, PR, Demand Generation) to ensure all teams are aligned on the launch plan, target audience, and messaging.
• Define the ideal customer journey and map marketing tactics to drive adoption and usage.

4. Sales Enablement & Content

• Create essential sales enablement tools and materials, including pitch decks, battle cards, competitive analysis guides, and demo scripts, to equip the Sales team for success.
• Develop customer-facing marketing content, such as website copy, landing pages, case studies, product videos, webinars, and technical blog posts, aligned with the messaging and SEO strategy.
• Train Sales, Support, and Marketing teams on new product features, value propositions, and successful objection handling.

5. Performance Monitoring

• Measure and analyze the effectiveness of marketing programs and product launches (e.g., adoption rates, conversion rates, and revenue impact).
• Use data to iterate on messaging, targeting, and GTM strategy for continuous improvement.

Required Qualifications

• Experience: 3-5 years of experience in Product Marketing, preferably for a SaaS, software, or technology company.
• GTM Expertise: Proven experience defining and executing successful Go-to-Market strategies and product launches.
• Content & Storytelling: Exceptional writing, communication, and presentation skills with a demonstrated ability to translate complex technical concepts into clear, engaging marketing stories.
• Technical Familiarity: Comfort with technology and the ability to work closely with Product Management and Engineering teams.
• Tools: Familiarity with CRM (e.g., Salesforce), Marketing Automation (e.g., HubSpot, Marketo), and Web Analytics tools (e.g., Google Analytics).
• Education: Bachelor’s degree in Marketing, Communications, Business, or a related field.