Senior Software Engineer - RPA

About Ampera

Ampera builds enterprise-grade AI platforms that sit at the intersection of large-scale data systems, intelligent orchestration, and applied AI.

Our products help Fortune 1000 companies optimize operations, manage risk, and unlock decision intelligence using AI, LLMs, and agentic workflows.

Role Overview

We are looking for a strong Full Stack Engineer who has built production-grade enterprise applications, worked with large datasets, and is excited about integrating AI systems and LLM-powered workflows into real-world platforms.

This is not a UI-only or API-only role.

You’ll own end-to-end system design, from frontend experiences to backend orchestration and AI integration.

What You’ll Work On

• Enterprise web platforms used by analysts, admins, and leadership
• High-scale data-intensive applications (query orchestration, risk intelligence, estimation engines)
• AI-augmented workflows (LLMs, agents, optimizers, explainability layers)
• Secure, governed, multi-tenant systems with role-based access

Key Responsibilities

Full Stack Development

• Design and build scalable web applications (frontend + backend)
• Develop API-first backend services for enterprise workflows
• Build admin dashboards, analyst workflows, and decision-ready UIs
• Ensure performance, reliability, and maintainability at scale

Backend & Data Systems

• Work with large-scale relational databases (Azure Synapse, Redshift, Snowflake, PostgreSQL, SQL Server, etc.)
• Design data models for high-volume, analytical workloads
• Implement caching, orchestration, background processing, and async workflows
• Integrate with enterprise systems (identity, BI tools, data platforms)

AI / LLM Integration

• Integrate LLMs (OpenAI, Azure OpenAI, etc.) into production systems
• Build AI-powered services:
• Query optimization
• Risk scoring & explainability
• Estimation & prediction workflows
• Implement agentic AI patterns (multi-step reasoning, tool-using agents, orchestration)
• Work closely with ML engineers to productionize AI models

Enterprise Readiness

• Implement RBAC, audit logging, governance, and guardrails
• Design systems with security, compliance, and observability in mind
• Contribute to CI/CD pipelines, deployments, and production monitoring

Required Skills & Experience

Core Engineering

• 4–8+ years of experience as a Full Stack Engineer
• Strong backend experience with Python (FastAPI preferred) or equivalent
• Solid frontend experience with React / modern JS frameworks
• Strong understanding of REST APIs, async processing, microservices

Data & Systems

• Hands-on experience with large databases and complex schemas
• Strong SQL skills and experience optimizing queries
• Experience building enterprise-grade, data-heavy applications

AI / Modern Stack

• Practical experience integrating LLMs or AI services into applications
• Familiarity with:
• Prompting & structured outputs
• AI evaluation & guardrails
• Explainability and risk-aware AI
• Exposure to agentic AI frameworks or multi-step AI workflows is a big plus

Nice-to-Have (Strong Differentiators)

• Experience building AI-powered SaaS or internal enterprise platforms
• Background in analytics, risk systems, finance, supply chain, or operations
• Experience with Redis, message queues, background workers
• Familiarity with Azure / AWS, containerization, Kubernetes
• Ability to translate business problems → system design

What We Look For (Beyond Skills)

• Strong systems thinking — you see the whole picture
• Comfortable operating in ambiguous, zero-to-one builds
• Ability to reason about scale, cost, and enterprise constraints
• Builder mindset — you ship, iterate, and own outcomes

Why Join Ampera

• Work on real enterprise AI platforms, not demos or chatbots
• Exposure to LLMs, agentic AI, and applied AI at scale
• High ownership, senior-heavy team, minimal bureaucracy
• Opportunity to shape core architecture and AI strategy
• 
  

Role Proficiency:

Performs tests in strict compliance independently guides other testers and assists test leads

Additional Comments:

Position Title: - Automation + Manual Tester Primary

Skills: Playwright, xUnit, Allure Report, Page Object Model, .Net, C#, Database Queries

Secondary Skills: GIT, JIRA, Manual Testing Experience: 4 to 5 years ESSENTIAL FUNCTIONS AND

BASIC DUTIES

1. Leadership in Automation Strategy: o Assess the feasibility and scope of automation efforts to ensure they align with project timelines and requirements. o Identify opportunities for process improvements and automation within the software development life cycle (SDLC).

2. Automation Test Framework Development: o Design, develop, and implement reusable test automation frameworks for various testing phases (unit, integration, functional, performance, etc.). o Ensure the automation frameworks integrate well with CI/CD pipelines and other development tools. o Maintain and optimize test automation scripts and frameworks for continuous improvements.

3. Team Management: o Lead and mentor a team of automation engineers, ensuring they follow best practices, writing efficient test scripts, and developing scalable automation solutions. o Conduct regular performance evaluations and provide constructive feedback. o Facilitate knowledge-sharing sessions within the team.

4. Collaboration with Cross-functional Teams: o Work closely with development, QA, and operations teams to ensure proper implementation of automated testing and automation practices. o Collaborate with business analysts, product owners, and project managers to understand business requirements and translate them into automated test cases.

5. Continuous Integration & Delivery (CI/CD): o Ensure that automated tests are integrated into the CI/CD pipelines to facilitate continuous testing. o Identify and resolve issues related to the automation processes within the CI/CD pipeline.

6. Test Planning and Estimation: o Contribute to the test planning phase by identifying key automation opportunities. o Estimate effort and time required for automating test cases and other automation tasks.

7. Test Reporting and Metrics: o Monitor automation test results and generate detailed reports on test coverage, defects, and progress. o Analyze test results to identify trends, bottlenecks, or issues in the automation process and make necessary improvements.

8. Automation Tools Management: o Evaluate, select, and manage automation tools and technologies that best meet the needs of the project. o Ensure that the automation tools used align with the overall project requirements and help to achieve optimal efficiency.

9. Test Environment and Data Management: o Work on setting up and maintaining the test environments needed for automation. o Ensure automation scripts work across multiple environments, including staging, testing, and production environments.

10. Risk Management & Issue Resolution:

• Proactively identify risks associated with the automation efforts and provide solutions or mitigation strategies.

• Troubleshoot issues in the automation scripts, framework, and infrastructure to ensure minimal downtime and quick issue resolution.

11. Develop and Maintain Automated Tests: Write and maintain automated scripts for different testing levels, including regression, functional, and integration tests.

12. Bug Identification and Tracking: Report, track, and manage defects identified through automation testing to ensure quick resolution.

13. Improve Test Coverage: Identify gaps in test coverage and develop additional test scripts to improve test comprehensiveness. 14. Automation Documentation: Create and maintain detailed documentation for test automation processes, scripts, and frameworks.

15. Quality Assurance: Ensure that all automated testing activities meet the quality standards, contributing to delivering a high-quality software product.

16. Stakeholder Communication: Regularly update project stakeholders about automation progress, risks, and areas for improvement.

REQUIRED KNOWLEDGE

1. Automation Tools Expertise: Proficiency in tools like Playwright, Allure reports and integration with CI/CD pipelines.

2. Programming Languages: Strong knowledge of languages such as .NET and test frameworks like xUnit.

3. Version Control: Experience using Git for script management and collaboration.

4. Test Automation Frameworks: Ability to design scalable, reusable frameworks for different types of tests (functional, integration, etc.).

5. Leadership and Mentoring: Lead and mentor automation teams, ensuring adherence to best practices and continuous improvement.

6. Problem-Solving: Strong troubleshooting and analytical skills to identify and resolve automation issues quickly.

7. Collaboration and Communication: Excellent communication skills for working with cross-functional teams and presenting test results.

8. Time Management: Ability to estimate, prioritize, and manage automation tasks to meet project deadlines.

9. Quality Focus: Strong commitment to improving software quality, test coverage, and automation efficiency.

Skills: xUnit, Allure report, Playwright, C#

Desired Competencies (Technical/Behavioral Competency)

Must-Have

·       Strong understanding of Kafka concepts, including topics, partitions, consumers, producers, and security.

·       Experience with testing Kafka Connect, Kafka Streams, and other Kafka ecosystem components.

·       API Testing Experience

·       X-RAY and Test Automation Experience

·       Expertise with Postman/SOAP

·       Agile/JIRA/Confluence

·       Strong familiarity such as XML, JSON, CSV, Avro, etc.

·       Strong hands-on SQL, Mongo.

·       Continuous integration and automated testing.

·       Working knowledge and experience of Git.

Good-to-Have

·       Troubleshoot Kafka related issues, Strong in Kafka client configuration and troubleshooting

SN

Responsibility of / Expectations from the Role

1

Engage with the customer to understand the requirements, provide technical solutions, provide value added suggestions

2

Help build and manage the team of Kafka and Java developers in the near future.

Company: PluginLive

About the company:

PluginLive Technology Pvt Ltd is a leading provider of innovative HR solutions. Our mission is to transform the hiring process through technology and make it easier for organizations to find, attract, and hire top talent. We are looking for a passionate and experienced Data Engineering Lead to guide the data strategy and engineering efforts for our Campus Hiring Digital Recruitment SaaS Platform.

Role Overview:

The Data Engineering Lead will be responsible for leading the data engineering team and driving the development of data infrastructure, pipelines, and analytics capabilities for our Campus Hiring Digital Recruitment SaaS Platform. This role requires a deep understanding of data engineering, big data technologies, and team leadership. The ideal candidate will have a strong technical background, excellent leadership skills, and a proven track record of building robust data systems.

Job Description

Position: Data Engineering Lead - Campus Hiring Digital Recruitment SaaS Platform

Location: Chennai

Minimum Qualification:  Bachelor’s degree in computer science, Engineering, Data Science, or a related field. Master’s degree or equivalent is a plus.

Experience:  7+ years of experience in data engineering, with at least 3 years in a leadership role.

CTC:  20-30 LPA 

Employment Type:  Full Time

Key Responsibilities:

Data Strategy and Vision:

• Develop and communicate a clear data strategy and vision for the Campus Hiring Digital Recruitment SaaS Platform.
• Conduct market research and competitive analysis to identify trends, opportunities, and data needs.
• Define and prioritize the data roadmap, aligning it with business goals and customer requirements.

Data Infrastructure Development:

• Design, build, and maintain scalable data infrastructure and pipelines to support data collection, storage, processing, and analysis.
• Ensure the reliability, scalability, and performance of the data infrastructure.
• Implement best practices in data management, including data governance, data quality, and data security.

Data Pipeline Management:

• Oversee the development and maintenance of ETL (Extract, Transform, Load) processes.
• Ensure data is accurately and efficiently processed and available for analytics and reporting.
• Monitor and optimize data pipelines for performance and cost efficiency.

Data Analytics and Reporting:

• Collaborate with data analysts and data scientists to build and deploy advanced analytics and machine learning models.
• Develop and maintain data models, dashboards, and reports to provide insights and support decision-making.
• Ensure data is easily accessible and usable by stakeholders across the organization.

Team Leadership:

• Lead, mentor, and guide a team of data engineers, fostering a culture of collaboration, continuous improvement, and innovation.
• Conduct code reviews, provide constructive feedback, and ensure adherence to development standards.
• Collaborate with cross-functional teams including product, engineering, and marketing to ensure alignment and delivery of data goals.

Stakeholder Collaboration:

• Work closely with stakeholders to understand business requirements and translate them into technical specifications.
• Communicate effectively with non-technical stakeholders to explain data concepts and progress.
• Participate in strategic planning and decision-making processes.

Skills Required:

• Proven experience in designing and building scalable data infrastructures and pipelines.
• Strong proficiency in programming languages such as Python, R, Data visualization tools like Power BI, Tableau, Qlik, Google Analytics
• Expertise in big data technologies such as Apache Airflow, Hadoop, Spark, Kafka, and cloud data platforms like AWS, Oracle Cloud.
• Solid understanding of database technologies, both SQL and NoSQL.
• Experience with data modeling, data warehousing, and ETL processes.
• Strong analytical and problem-solving abilities.
• Excellent communication, collaboration, and leadership skills.

Preferred Qualifications:

• 
  
• Experience in HR technology or recruitment platforms.
• Familiarity with machine learning and AI technologies.
• Knowledge of data governance and data security best practices.
• Contributions to open-source projects or active participation in the tech community.

• Writing, editing and publishing engaging, compelling and trending posts for social media networks (e.g. Facebook, Instagram, Linkedin and Twitter)
• Proofread the content for grammar, punctuation and spelling.
• Create monthly content calendars and take approval from clients.
• Maintain content hygiene of the social media pages.
• Tracking and reporting on social media insights (e.g. traffic, engagement, conversion rates, shares etc.)
• You will be responsible for establishing and nurturing strong relationships with clients. This involves regular communication, understanding their needs

Requirements

• Experience: Fresher
• Ability to create innovative social media content, supported by relevant images and videos
• Creative thinking and Creative Writing skills.
• Proficiency in English
• Strong verbal as well as written communication skills
• Exceptional time-management and organizational skills
• A keen eye for details

Job Type: Fresher

Salary: ₹20,000.00 - ₹25,000.00 per month

Schedule:

• Morning shift

Expected Start Date: 17/04/2023

• Minimum 4 yrs of experience in React JS.
• Experience building single page frontend applications and reusable components
• Solid experience with the core React ecosystem like React Router, Redux etc.
• Master of HTML, CSS, and other display-centric web technologies.
• Comfortable using git, docker.
• Proficient in Javascript (ES6 / ES7) programming with at least 4/5 years of
• experience.
• Good knowledge in writing frontend test cases.

• Good understanding of asynchronous request handling, partial page updates and Promises.

• Strong Problem Solving skills.

• Strong skills in Javascript and ability to write well documented, clean JavaScript Code.

• Very good understanding of ES6/ES7, JSX and Component Lifecycle.

• Deep practical knowledge of native Javascript, ES6, understanding the internals of frameworks like ReactJS, Angular or any other view libraries.

• Knowledge of modern authorisation techniques, such as JWT Tokens.

• Good understanding of common front-end development tools such as Babel, Webpack, NPM, Yarn etc.

• Has strong communication skills and self-accountability.

• Working on Executive Leadership Talent Needs (Senior Management) for reputed
• clients across the technology sector. The role involves extensive Industry Mapping and
• organization research, Executive research, Organization structures, Talent mapping,
• and various modes of Headhunting.
• Client engagements, Candidate management, Sourcing, Screening, interviewing and
• assessing candidates.
• Meeting Future technology leaders face to face and building a relationship with them
• Source candidates using databases, social media, etc. Evaluate resumes and applications
• Assume responsibility of pre-interview screening
• Match the most suitable candidates for different positions. Foster a good relationship with
• the clients.
• Facilitate and finalize agreements between candidate and employer