11+ SAP GL Jobs in India

Job Title: Oracle Fusion Developer

• Exp: 7 to 10 Years
• CTC: Competitive Hike
• Woke Mode: Contract 6 Months Extendable – 1 Month onsite – Riyadh
• Work Type: Hybrid
• Work Location: Mumbai, Chennai and Bangalore

Required Skills & Qualifications:

• Minimum 7 years of experience in Oracle Fusion Applications.
• Strong expertise in at least two core modules:
• HRMS – Core HR, Payroll, Talent, Absence
• Finance – GL, AP, AR, Fixed Assets, Cash Management
• Procurement – Self-Service Procurement, Supplier Portal, Purchasing
• Deep understanding of Oracle Fusion Cloud architecture and security model.
• Strong knowledge of Fusion BI (OTBI, BIP) for reporting and analytics.
• Proficiency in Oracle Integration Cloud (OIC) or middleware tools is a plus.
• Excellent problem-solving, analytical, and communication skills.
• Oracle Cloud certifications in relevant modules are highly desirable.

Springer Capital is a real estate investment firm based in Chicago, Shanghai, and Hong Kong. Springer engages in Capital Advisory for APAC Private Equity and Asset Management making financial investments in real estate and other sectors in US markets.

Springer seeks an Operations Intern to join the Technology side of the company. The internship can be onsite in Shanghai or conducted remotely. The start date of the internship is flexible.

Job Highlights:

As an intern for the Business Automation team, you will be focusing on researching and developing tools and workflow that automate some parts of our business automation. As business automation is important throughout the firm, you will have the opportunity to collaborate with teams across Springer.

What you will do as an intern:

Analyze business processes by working closely with other business team to understand the processes and identify areas that can be automated.

Design software solution that can automate business processes, mostly involving researching new automation tools.

Test and debug automation flows to ensure they function as intended.

Provide technical support to the business team and troubleshoot any issues that arise.

Our commitment to your development:

Overarching and detailed training materials before interns hit the desk

Interns will have group calls with the director and supervisors regularly for up-to-date and constructive feedback

Greater leadership and responsibilities will be given to interns based on work quality

Who we are looking for:

Strong experience using Excel.

Passionate about analyzing data.

Experience (preferred) with data analysis.

Research and problem-solving abilities.

About Springer:

Springer Capital focuses on raising capital and solving capital issues in the real estate private equity market. We have experience raising capital for clients across the entire capital spectrum. Client relationships are a top priority for Springer. We establish long-term relationships with investors and lenders as well as have active dialogues with private equities, family offices, pension funds, infrastructure funds, and independent sponsors across Asia. With Springer’s expertise in the housing market, we ensure all parties are aligned in land acquisitions, development, improvements, sales, and lease-up.

Technical and legal Information:

The internship enrollment period is flexible. The expected hours are 20 per week for ~3 months. Upon completion, you will receive an internship confirmation letter, or you can apply to your school for internship credit.

Some educational institutions require prior approval before the start of an internship. It is the responsibility of the student to check with their institution to be sure they meet any requirements before they accept a position.

Role & Responsibilities

4-7 years of Strong proficiency in Full stack Development of Web Applications and experience in shipping production applications.

Experience of using Typescript for development would be a mandate.

Frontend- next.js, react.js, vue.js and bit for svelte kit are highly preferred Backend- node.js, react.js, express.js

B.Tech in Computer Science Engineering from Tier 1 Colleges preferred

Experienced with Tailwind CSS

Experienced with TDD for component and end-to-end testing

Ableto set up CI/CD pipelines for testing and deployment (canary, staging) using Github actions according to project

Entrepreneurial mindset with strong decision-making skills

Ability to move quickly without breaking things too much (we are dreamers)

Ability to work under immense pressure which is balanced by a sense of responsibility and ownership

Comfortable working with a Git style workflow where every commit deploys to a staging environment and merged pull requests deploy to production

Need candidates from Growing startups or Product based companies only

1. 4–6 years experience in backend engineering

2. Minimum 2+ years hands-on experience with:

TypeScript

Express.js / Nest.js

3. Strong experience with MongoDB (or MySQL / PostgreSQL / DynamoDB)

4. Strong understanding of system design & scalable architecture

5. Hands-on experience in:

Event-driven architecture / Domain-driven design

MVC / Microservices

6. Strong in automated testing (especially integration tests)

7. Experience with CI/CD pipelines (GitHub Actions or similar)

8. Experience managing production systems

9. Solid understanding of performance, reliability, observability

10. Cloud experience (AWS preferred; GCP/Azure acceptable)

11. Strong coding standards — Clean Code, code reviews, refactoring

🚀 Hiring: Business Analyst – General / Motor Insurance Domain

📍 Location: Bangalore, Walton Road

💼 Experience: 4-5 years in the General Insurance Industry (Motor Insurance vertical)

We are looking for a Business Analyst with expertise in Motor Insurance to join our team. If you have a strong understanding of the insurance sector and analytical skills, we’d love to connect!

We are seeking a skilled Next.js Developer with a minimum of 1 year of experience to join our growing team. As a Next.js Developer at Redlio Designs, you will have the opportunity to work on exciting projects for a diverse range of clients, collaborating with a talented team of designers, developers, and project managers.

Responsibilities:

- Develop high-quality, responsive web applications using Next.js framework

- Collaborate with designers to implement user-friendly interfaces

- Optimize application performance and ensure scalability

- Integrate front-end components with back-end services

- Write clean, maintainable code and adhere to coding standards

- Troubleshoot and debug issues to ensure smooth functionality

- Stay up-to-date with industry trends and best practices

Requirements:

- Bachelor's degree in Computer Science, Engineering, or a related field

- Minimum of 1 year of experience working with Next.js framework

- Strong proficiency in JavaScript/TypeScript, HTML5, and CSS3

- Experience with React.js and Redux for state management

- Familiarity with RESTful APIs and GraphQL

- Knowledge of version control systems such as Git

- Excellent problem-solving and communication skills

- Ability to work effectively both independently and as part of a team

Nice to Have:

- Experience with server-side rendering (SSR) and static site generation (SSG)

- Familiarity with agile development methodologies

- Knowledge of SEO best practices

- Experience with testing frameworks such as Jest

- Contributions to open-source projects or a strong GitHub profile

Perks and Benefits:

- Competitive salary based on experience

- Collaborative and inclusive work environment

- Regular team outings and social events

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.

• 3+ years of experience with Ruby On Rails.
• Strong Project & Time Management Skills, along with the ability to apply these skills while working independently, or as part of a team.
• Knowledge of blockchain technology, smart contracts and cryptocurrency will be an added advantage
• Experience in fintech domain will be another added advantage
• Bachelor’s degree in computer programming, computer science, or a related field.
• Fluency or understanding of specific languages, such as Java, PHP, or Python, and operating systems may be required.