QA Lead

Job Details

- Job Title: Lead I - Software Engineering - Java, J2Ee, Spring

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 6-12 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Summary:

We are looking for an experienced Senior Java Developer with expertise in building robust, scalable web applications using Java/J2EE, Spring Boot, REST APIs, and modern microservices architectures. The ideal candidate will be skilled in both back-end and middleware technologies, with strong experience in cloud platforms (AWS), and capable of mentoring junior developers while contributing to high-impact enterprise projects.

The developer will be responsible for full-cycle application development: from interpreting specifications and writing clean, reusable code, to testing, integration, and deployment. You will also work closely with customers and project teams to understand requirements and deliver solutions that optimize cost, performance, and maintainability.

Key Responsibilities:

Application Development & Delivery

• Design, code, debug, test, and document Java-based web applications aligned with design specifications.
• Build scalable and secure microservices using Spring Boot and RESTful APIs.
• Optimize application performance, maintainability, and reusability by using proven design patterns.
• Handle complex data structures and develop multi-threaded, performance-optimized applications.
• Ensure code quality through TDD (JUnit) and best practices.

Cloud & DevOps

• Develop and deploy applications on AWS Cloud Services: EC2, S3, DynamoDB, SNS, SES, etc.
• Leverage containerization tools like Docker and orchestration using Kubernetes.

Integration & Configuration

• Integrate with various databases (PostgreSQL, MySQL, Oracle, NoSQL).
• Configure development environments and CI/CD pipelines as per project needs.
• Follow configuration management processes and ensure compliance.

Testing & Quality Assurance

• Review and create unit test cases, scenarios, and support UAT phases.
• Perform defect root cause analysis (RCA) and proactively implement quality improvements.

Documentation

• Create and review technical documents: HLD, LLD, SAD, user stories, design docs, test cases, and release notes.
• Contribute to project knowledge bases and code repositories.

Team & Project Management

• Mentor team members; conduct code and design reviews.
• Assist Project Manager in effort estimation, planning, and task allocation.
• Set and review FAST goals for yourself and your team; provide regular performance feedback.

Customer Interaction

• Engage with customers to clarify requirements and present technical solutions.
• Conduct product demos and design walkthroughs.
• Interface with customer architects for design finalization.

Key Skills & Tools:

Core Technologies:

• Java/J2EE, Spring Boot, REST APIs
• Object-Oriented Programming (OOP), Design Patterns, Domain-Driven Design (DDD)
• Multithreading, Data Structures, TDD using JUnit

Web & Data Technologies:

• JSON, XML, AJAX, Web Services
• Database Technologies: PostgreSQL, MySQL, Oracle, NoSQL (e.g., DynamoDB)
• Persistence Frameworks: Hibernate, JPA

Cloud & DevOps:

• AWS: S3, EC2, DynamoDB, SNS, SES
• Version Control & Containerization: GitHub, Docker, Kubernetes

Agile & Development Practices:

• Agile methodologies: Scrum or Kanban
• CI/CD concepts
• IDEs: Eclipse, IntelliJ, or equivalent

Expected Outcomes:

• Timely delivery of high-quality code and application components
• Improved performance, cost-efficiency, and maintainability of applications
• High customer satisfaction through accurate requirement translation and delivery
• Team productivity through effective mentoring and collaboration
• Minimal post-production defects and technical issues

Performance Indicators:

• Adherence to coding standards and engineering practices
• On-time project delivery and milestone completion
• Reduction in defect count and issue recurrence
• Knowledge contributions to project and organizational repositories
• Completion of mandatory compliance and technology/domain certifications

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Relevant certifications (e.g., AWS Certified Developer, Oracle Certified, Scrum Master)

Soft Skills:

• Strong analytical and problem-solving mindset
• Excellent communication and presentation skills
• Team leadership and mentorship abilities
• High accountability and ability to work under pressure
• Positive team dynamics and proactive collaboration

Skills

Java, J2Ee, Spring

Must-Haves

Java, J2Ee, Spring

Machine Learning + Aws+ (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sagemaker

NP: Immediate – 30 Days

Job Summary:

We are seeking a skilled and organized HR cum Admin Executive to manage both human resources and administrative operations. The ideal candidate will be responsible for ensuring smooth day-to-day office functioning, maintaining facilities, and supporting HR processes efficiently.

Key Responsibilities:

• Oversee building and facility maintenance – ensure all infrastructure, utilities, and services are running smoothly
• Handle vendor management, AMC coordination, housekeeping, and security supervision
• Manage HR activities, including recruitment, attendance, payroll coordination, and employee engagement
• Maintain administrative records, handle procurement, and support day-to-day office operations
• Liaise with management for operational and manpower planning

Requirements / Ideal Candidate:

• Has strong experience in facility/building management and administration
• Good understanding of HR processes and documentation
• Excellent communication, negotiation, and problem-solving skills
• Proactive, reliable, and able to handle responsibilities independently

About the Role:

This role is ideal for someone who enjoys managing both people and operations and can ensure that the workplace remains productive, organized, and well-maintained.

Job Title : AI/ML Engineer (Python)

Location : Gurgaon

Experience : 5+ Years and 10+ Years

Role Overview :

We are seeking highly skilled AI/ML Engineers with expertise in Python to join our team in Gurgaon. The ideal candidates will have 5+ Years or 10+ Years of experience in building and deploying AI/ML models, developing scalable solutions, and contributing to cutting-edge machine learning projects.

Key Responsibilities :

• Design, develop, and deploy robust AI/ML models and algorithms to solve real-world problems.
• Collaborate with cross-functional teams to integrate machine learning solutions into production environments.
• Implement data preprocessing, feature engineering, and model optimization techniques.
• Work with large datasets to derive insights and develop predictive models.
• Write clean, efficient, and well-documented Python code.
• Evaluate model performance and fine-tune algorithms for better accuracy and efficiency.
• Research and implement new machine learning methods and technologies.
• Develop and maintain automated pipelines for training, testing, and deploying models.
• Mentor junior engineers (for 10+ Years of experience candidates).

Key Requirements :

Educational Qualification : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Experience :

• For 5+ Years : Proven expertise in AI/ML development with hands-on project experience.
• For 10+ Years : Advanced expertise in AI/ML with a track record of leading complex projects and mentoring teams.

Technical Skills :

• Strong programming skills in Python.
• Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in data processing tools such as Pandas and NumPy.
• Experience with cloud platforms (AWS, Azure, or GCP) for deploying models.
• Knowledge of NLP, computer vision, or deep learning techniques is a plus.
• Familiarity with big data tools (e.g., Spark, Hadoop) is advantageous.

Soft Skills :

• Strong analytical and problem-solving abilities.
• Excellent communication and team collaboration skills.
• Ability to adapt to a fast-paced and dynamic environment.

Preferred Qualifications :

• Hands-on experience with MLOps tools and workflows.
• Familiarity with version control systems like Git.
• Exposure to end-to-end product lifecycle from ideation to deployment.

Benefits :

• Competitive salary and performance-based incentives.
• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and innovative work environment.
• Continuous learning and upskilling opportunities.

We are looking for a skilled ML Engineer with 3–5 years of experience in building and deploying production-grade AI solutions, particularly around LLMs, RAG systems, and agentic AI frameworks. The role involves designing end-to-end ML architectures, optimizing models at scale, and delivering client-ready AI solutions. You will collaborate closely with stakeholders, mentor junior engineers, and drive AI projects from experimentation to production.

What will you need to be successful in this role?

Core Technical Skills

• Strong hands-on experience with Python for ML/AI (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)

• Proven experience deploying production LLM applications with 1M+ tokens processed

• Advanced prompt engineering expertise including ReAct, meta-prompting, and function calling

• Production experience with RAG systems including hybrid search and re-ranking

• Deep understanding of embedding models and vector databases at scale

• Experience with agentic AI frameworks (LangGraph, CrewAI, or AutoGen)

• Strong knowledge of LLM evaluation frameworks (RAGAS, LLM-as-judge patterns)

• Experience implementing multi-agent systems and orchestration

• Proficiency with cloud ML platforms (AWS SageMaker, Azure ML, or Vertex AI)

Advanced Capabilities

• Experience with model fine-tuning (LoRA, QLoRA, PEFT, instruction tuning)

• Knowledge of knowledge graphs and graph-based RAG implementations

• Understanding of model hosting, inference optimization, and cost management

• Experience with MLOps pipelines, CI/CD for ML, and model versioning

• Ability to architect end-to-end ML solutions from data ingestion to deployment

• Experience with data pipelines and ETL for ML workflows

• Proficiency in containerization and orchestration (Docker, Kubernetes)

Client Engagement & Delivery

• Experience presenting technical solutions to clients and stakeholders

• Ability to translate business requirements into technical ML solutions

• Track record of delivering client POCs and production implementations

• Experience creating technical documentation and implementation guides

Good to have

• Experience hosting private LLMs (7B-13B models on-premises or cloud)

• Knowledge of graph databases (Neo4j) and graph neural networks

• Experience with streaming and real-time ML inference

• Published research papers or contributions to open-source ML projects

• DeepLearning.AI certifications in Agentic AI, RAG, or Finetuning

• AWS/Azure ML certifications or working towards them

Competencies

• Excellent verbal and written communication skills

• Strong mentoring ability for junior ML engineers

• Self-driven with ability to work independently on complex problems

• Excellent problem-solving skills with systematic debugging approach

• Proactive ownership of projects from ideation to deployment

• Ability to stay current with rapidly evolving AI/ML landscape

• Excellent academic record – B.E./B.Tech, MCA,

Role: Senior AI Engineer

Work Location: TechGenzi Coimbatore Office (ODC for Tiramai.ai)

Employment Type: Full-time

Experience: 2–5 years (Full-stack development with AI exposure)

About the Role & Work Location.

The selected candidate will be employed by Tiramai.ai and will work exclusively on Tiramai.ai projects. The role will be based out of TechGenzi’s Coimbatore office, which functions as an Offshore Development Center (ODC) supporting Tiramai.ai’s product and engineering initiatives.

Primary Focus

As an AI Engineer at our enterprise SaaS and AI-native organization, you will play a pivotal role in building secure, scalable, and intelligent digital solutions. This role combines full-stack development expertise with applied AI skills to create next-generation platforms that empower enterprises to modernize and act smarter with AI. You will work on AI-driven features, APIs, and cloud-native applications that are production-ready, compliance-conscious, and aligned with our mission of delivering responsible AI innovation.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Python (backend) and React/Angular (frontend).
• Build and integrate AI-driven modules, leveraging GenAI, ML models, and AI-native tools into enterprise-grade SaaS products.
• Develop scalable REST APIs and microservices with security, compliance, and performance in mind.
• Collaborate with architects, product managers, and cross-functional teams to translate requirements into production-ready features.
• Ensure adherence to secure coding standards, data privacy regulations, and human-in-the-loop AI principles.
• Participate in code reviews, system design discussions, and continuous integration/continuous deployment (CI/CD) practices.
• Contribute to reusable libraries, frameworks, and best practices to accelerate AI platform development.

Skills Required

• Strong proficiency in Python for backend development.
• Frontend expertise in React.js or Angular with 2+ years of experience.
• Hands-on experience in full SDLC development (design, build, test, deploy, maintain).
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or GenAI tools (LangChain, vector DBs, OpenAI APIs).
• Knowledge of cloud-native development (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of REST APIs, microservices, and enterprise-grade security standards.
• Ability to work collaboratively in fast-paced, cross-functional teams with strong problem-solving and analytical skills.
• Exposure to responsible AI principles (explainability, bias mitigation, compliance) is a plus.

Growth Path

• AI Engineer (24 years) focus on full-stack + AI integration, delivering production-ready features.
• Senior AI Engineer (4–6 years) lead modules, mentor juniors, and drive AI feature development at scale.
• Lead AI Engineer (6–8 years) own solution architecture for AI features, ensure security/compliance, collaborate closely with product/tech leaders.
• AI Architect / Engineering Manager (8+ years) shape AI platform strategy, guide large-scale deployments, and influence product/technology roadmap.

Company: CorpCare

Title: Lead Engineer (Full stack developer)

Location: Mumbai (work from office)

CTC: Commensurate with experience

About Us:  

CorpCare is India’s first all-in-one corporate funds and assets management platform. We offer a single-window solution for corporates, family offices, and HNIs. We assist corporates in formulating and managing treasury management policies and conducting reviews with investment committees and the board.

Job Summary:  

The Lead Engineer will be responsible for overseeing the development, implementation, and management of our corporate funds and assets management platform. This role demands a deep understanding of the broking industry/Financial services industry, software engineering, and product management. The ideal candidate will have a robust background in engineering leadership, a proven track record of delivering scalable technology solutions, and strong product knowledge.

Key Responsibilities:

• Engineering Strategy and Vision:

- Develop and communicate a clear engineering vision and strategy aligned with our broking and funds management platform.

- Conduct market research and technical analysis to identify trends, opportunities, and customer needs within the broking industry.

- Define and prioritize the engineering roadmap, ensuring alignment with business goals and customer requirements.

- Lead cross-functional engineering teams (software development, QA, DevOps, etc.) to deliver high-quality products on time and within budget.

- Oversee the entire software development lifecycle, from planning and architecture to development and deployment, ensuring robust and scalable solutions.

- Write detailed technical specifications and guide the engineering teams to ensure clarity and successful execution.

- Leverage your understanding of the broking industry to guide product development and engineering efforts.

- Collaborate with product managers to incorporate industry-specific requirements and ensure the platform meets the needs of brokers, traders, and financial institutions.

- Stay updated with regulatory changes, market trends, and technological advancements within the broking sector.

- Mentor and lead a high-performing engineering team, fostering a culture of innovation, collaboration, and continuous improvement.

- Recruit, train, and retain top engineering talent to build a world-class development team.

- Conduct regular performance reviews and provide constructive feedback to team members.

- Define and track key performance indicators (KPIs) for engineering projects to ensure successful delivery and performance.

- Analyze system performance, user data, and platform metrics to identify areas for improvement and optimization.

- Prepare and present engineering performance reports to senior management and stakeholders.

- Work closely with product managers, sales, marketing, and customer support teams to align engineering efforts with overall business objectives.

- Provide technical guidance and support to sales teams to help them understand the platform's capabilities and competitive advantages.

- Engage with customers, partners, and stakeholders to gather feedback, understand their needs, and validate engineering solutions.

Requirements:

• BE /B. Tech - Computer Science from a top engineering college
• MBA a plus, not required
• 5+ years of experience in software engineering, with at least 2+ years in a leadership role.
• Strong understanding of the broking industry and financial services industry.
• Proven track record of successfully managing and delivering complex software products.
• Excellent communication, presentation, and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Experience with Agile/Scrum methodologies.
• Deep understanding of software architecture, cloud computing, and modern development practices.

Technical Expertise:

• Front-End: React, Next.js, JavaScript, HTML5, CSS3
• Back-End: Node.js, Express.js, RESTful APIs
• Database: MySQL, PostgreSQL, MongoDB
• DevOps: Docker, Kubernetes, AWS (EC2, S3, RDS), CI/CD pipelines
• Version Control: Git, GitHub/GitLab
• Other: TypeScript, Webpack, Babel, ESLint, Redux

Preferred Qualifications:

• Experience in the broking or financial services industry.
• Familiarity with data analytics tools and methodologies.
• Knowledge of user experience (UX) design principles.
• Experience with trading platforms or financial technology products.

This role is ideal for someone who combines strong technical expertise with a deep understanding of the broking industry and a passion for delivering high-impact software solutions.

Creative & Social Media Manager

Location- Gurgaon (WFO)

Position Overview:

We are looking for a creative & social media manager who will play a critical role in creating original digital content across various social media platforms. The ideal candidate will be responsible for creating and executing our social media strategy. You will handle all our socials, evaluate our social metrics, and collaborate with internal teams.

Roles & Responsibilities:

• Create a strong brand entity for Juleo on Insta, Linkedin, Snap, YouTube to drive awareness and app installspare weekly and monthly reports on metrics eg Reach
• Schedule content and maintain a social media calendar. • Monitor social
• trends and proactively highlight opportunities for growth and engagement
• Partner with content creators and influencers to drive awareness and build
• the Brand's Social Presence.
• Communicate with followers, respond to queries in a timely manner and
• monitor customer reviews.
• Designing social media strategies to achieve marketing targets.
• Managing, creating and publishing original, high-quality content on social
• platforms.
• Administering all company social media accounts to ensure up-to-date
• content.
• Liaise with writers and designers to ensure content is informative and
• appealing.
• Prepare weekly and monthly reports on web traffic and ROI.
• Schedule content and maintain a social media calendar.
• Monitor social trends and proactively highlight opportunities for growth and
• engagement.

Requirements:

• Working experience of minimum 2 years in handling Social Media Platforms (Insta, Linkedin, Snap, YouTube) end to end for a Consumer tech startup. The ability to create short videos, gifs and other social media content independently
• Very high bar on Creative skills
• Ability to thrive in a startup environment
• Experience with social media management tools.and analytics
• Good understanding of the holistic and dynamic landscape of social media
• channels, strategies, emerging platforms, and audiences

• Strong architecture and design skills and keen business sense. -
• Ownership of projects and technical areas. -
• Strong core server-side technologies experience (Java), database design & performance tuning exposure. -
• Strong OO design skills, knowledge of frameworks such as Spring/ Spring Boot/ exposure to functional programming a plus. -
• Good knowledge of nodeJS/ noSQL a definite plus. -
• Good exposure to front end/UI skills (JS, HTML, Angular). -
• Good exposure to configuration management, testing, deployment. -
• Deep knowhow of data structures, algorithms. -
• Hands on development across technologies.
• Exp- 6-8 years.
• Qual- B.E/ B.Tech (Computer Science/ Equivalent) from a premier institute.