EBS/Fusion Techno-Functional (HCM)

Responsibilities

• Technical Leadership & Architecture: Serve as a technical authority, define cloud-native standards, and own end-to-end system design for complex, distributed, and high-scale solutions.
• Engineering Excellence: Lead modernization initiatives, transition legacy systems to microservices, and ensure performance, scalability, and security.
• Platform & Cloud Enablement: Champion GCP-native services (GKE, Cloud Run, Pub/Sub, BigQuery, Cloud SQL, Spanner), influence CI/CD, and drive FinOps strategies.
• Mentorship & Organizational Impact: Mentor Lead and Senior Engineers, foster engineering rigor, and collaborate with Product Management to translate business strategy into technical solutions.

Required Skills, Experience & Background

• 12+ years of professional experience building enterprise-grade software systems.
• Proven experience operating at a Lead or Principal Engineer level.
• Strong hands-on experience with Java or another major programming language (e.g., Go, Python, C#).
• Deep expertise in microservices architecture, RESTful APIs, and distributed systems.
• Strong experience with SQL and NoSQL databases and data modeling.
• Expertise in cloud-native design principles (stateless services, scalability, resiliency).
• Strong experience building and operating systems on Google Cloud Platform (GCP).
• Proficiency with containers and orchestration (Docker, Kubernetes, GKE).
• Experience with CI/CD pipelines, Git-based workflows, and observability.
• Experience with Big Data and data engineering technologies (e.g., BigQuery, Spark).

Qualifications

• Bachelor’s degree in computer science or related field (required).
• Master’s degree in computer science or related field (preferred).

Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

3

Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

4

Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

5

Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

6

Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.

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Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

8

Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

9

Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

10

Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

11

Mandatory (Age) - Candidate's Age should be below 37 years.

12

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

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Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

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Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

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Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Role Overview:

We are looking for a skilled Golang Developer with 3.5+ years of experience in building scalable backend services and deploying cloud-native applications using AWS. This is a key position that requires a deep understanding of Golang and cloud infrastructure to help us build robust solutions for global clients.

Key Responsibilities:

• Design and develop backend services, APIs, and microservices using Golang.
• Build and deploy cloud-native applications on AWS using services like Lambda, EC2, S3, RDS, and more.
• Optimize application performance, scalability, and reliability.
• Collaborate closely with frontend, DevOps, and product teams.
• Write clean, maintainable code and participate in code reviews.
• Implement best practices in security, performance, and cloud architecture.
• Contribute to CI/CD pipelines and automated deployment processes.
• Debug and resolve technical issues across the stack.

Required Skills & Qualifications:

• 3.5+ years of hands-on experience with Golang development.
• Strong experience with AWS services such as EC2, Lambda, S3, RDS, DynamoDB, CloudWatch, etc.
• Proficient in developing and consuming RESTful APIs.
• Familiar with Docker, Kubernetes or AWS ECS for container orchestration.
• Experience with Infrastructure as Code (Terraform, CloudFormation) is a plus.
• Good understanding of microservices architecture and distributed systems.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with Git, CI/CD pipelines, and agile workflows.
• Strong problem-solving, debugging, and communication skills.

Nice to Have:

• Experience with serverless applications and architecture (AWS Lambda, API Gateway, etc.)
• Exposure to NoSQL databases like DynamoDB or MongoDB.
• Contributions to open-source Golang projects or an active GitHub portfolio.

HR Executive responsibilities include:

·       Designing compensation and benefits packages

·       Implementing performance review procedures (e.g. quarterly/annual and 360° evaluations)

·       Developing fair HR policies and ensuring employees understand and comply with them

Job brief

We are looking for an HR Executive to manage our company’s recruiting, learning and development and employee performance programs.

HR Executive responsibilities include creating referral programs, updating HR policies and overseeing our hiring processes. To be successful in this role, you should have an extensive background in Human Resources departments and thorough knowledge of labor legislation.

Ultimately, you will make strategic decisions for our company so that we hire, develop and retain qualified employees.

Responsibilities

·       Design compensation and benefits packages

·       Implement performance review procedures (e.g. quarterly/annual and 360° evaluations)

·       Develop fair HR policies and ensure employees understand and comply with them

·       Implement effective sourcing, screening and interviewing techniques

·       Assess training needs and coordinate learning and development initiatives for all employees

·       Monitor HR department’s budget

·       Act as the point of contact regarding labor legislation issues

·       Manage employees’ grievances

·       Create and run referral bonus programs

·       Review current HR technology and recommend more effective software (including HRIS and ATS)

·       Measure employee retention and turnover rates

·       Oversee daily operations of the HR department

Requirements and skills

·       Proven work experience as an HR Executive.

·       Familiarity with Human Resources Management Systems and Applicant Tracking Systems

·       Experience with full-cycle recruiting

·       Good knowledge of labor legislation (particularly employment contracts, employee leaves and insurance)

·       Demonstrable leadership abilities

·       Solid communication skills

With over 40 years of innovation, Quantum's end-to-end platform is uniquely equipped to orchestrate protect, and enrich data across its lifecycle, providing enhanced intelligence and actionable insights. Leading organizations in cloud services, entertainment, government, research, education, transportation, and enterprise IT trust Quantum to bring their data to life, because data makes life better, safer, and smarter. Quantum is listed on Nasdaq (QMCO) and the Russell 2000® Index. For more information visit www.quantum.com.

As a Software Engineer, you will collaborate with engineers and product managers on the development and maintenance of Quantum’s DXi-Series of disk-based backup appliance software. Quantum’s DXi series protects our customers data on premises, in the cloud, or in a hybrid environment.

You Are A Part Of:

DXi is a uniquely powerful solution within the Quantum portfolio, allowing customers to meet and exceed their backup needs with one of the fastest products on the market. You’ll work on a product that allows customers to reduce costs, maximize production, scale with ease, and positively impact the environment by reducing power and cooling requirements.

Job Responsibilities:

Responsibilities include, but are not limited to:

• Write code primarily for Linux systems, with programming languages including Python, C, C++, and Perl.

• Design and build differentiating feature sets that continue to expand product capabilities, both on premises and in the cloud.

• Work with development, test, service, and support engineers to develop tactical solutions for customer issues.

• May design and develop automated test suites.

• May maintain lab equipment.

Required Skills and/or Experience:

• Bachelor’s degree in Computer Science, Information Technology, or related field of study required.

• 5-10 years related industry experience required.

• 5+ years software development in C or C++ is required.

• 3-5 years’ experience working in a Linux environment is required.

• Experience in writing scripts: Perl, shell, bash, and/or other scripting tools is required.

• Experience with debugging tools such as GDB is required.

• Experience with source control and shared build environments is required.

Responsibilities:

• Writing and maintaining the modules of Magento 2.X EE websites;
• Write clean, modular, robust code to implement the desired requirements with little or no supervision;
• Work with the QA and Customer Support teams to triage and fix bugs with rapid turnaround;
• Contribute ideas for making the application better and easier to use;
• Create reusable components, which can be configured for different projects;
• Create test plans and perform thorough quality analysis on the code before go live;
• Research on new integration and plug-in capabilities.

Product Manager

Compensation​ - ₹18.0L - ₹35.0L 
Experience​ - 5.0 - 7.0 Year(s) : Min 5 yrs of Solid Product management Experience
Location​ - Bangalore / Mumbai
Working days​ - 5
Qualification​ - B.Tech/B.E.
Requirements:

•  Candidates shall be working in a product/internet consumer firm and only B2B Product Firms (Not B2C)
•  Candidates shall be a full time MBA from a tier1 Institutes
•  Candidates shall have experience in Road-mapping, goal setting, managing project execution, A/B testing, UI/UX wire-framing, defining product roll-out strategy.

Responsibilities:

• Own delivery of product initiatives and releases Lead ideation, development, launch, testing, and iteration of new features Translate high-level conceptual product ideas into clearly defined product specifications.
•  Collaborate with design, engineering, marketing, and sales to drive the product development process
•  Define and execute the LEAD School product vision, priorities and roadmap
•  Collaborate with engineering to determine the best technical implementation of the product features by Using your skill on PRD, wireframe, mind map, trello and etc.
•  Use data and metrics to help inform roadmap and product decisions to help better acquire, convert and retain users
•  Define user stories and product requirements that both reflect and anticipate the needs of LEAD School broad user base Proactively engage with LEAD School users in user research and to identify market opportunities
•  Understand the competitive landscape and evaluate market trends to better inform product roadmap.

Skills and Qualifications:

•  3+ years’ experience in a product management role within a B2B software company Experienced being the product owner in agile product teams
•  Experience with A/B testing and using data to inform product decisions
•  Technical enough to work effectively with engineers to decide on different product paths Design-capable enough to work effectively with designers to decide on good platform UI/UX choices
•  Strong prototyping and wireframing skills using tools like Balsamiq, Moqups etc.
•  Experienced in managing product backlogs and priorities based on user research and collaborating with internal stakeholder
•  Effective decision maker and can help teams understand rationale and reasons for the product decisions and roadmap direction
•  Thrive in a fast-paced startup environment
•  Self-starter, independent and excellent at driving teams and projects
•  Excellent communication skills at all level’s small groups, large groups, and with executives