SAP PS Functional Consultant

Summary

We are looking for an exceptional AI-native full-stack product engineer who can take product specs, prototypes, or PRDs and turn them into clean, tested, QA’d, merge-ready branches.

We are building a fast-moving software company and currently use AI coding tools heavily in our development workflow. Right now, the delivery process is: prototype review, spec clarification, implementation planning, AI-assisted coding, QA, checking what was actually built, and preparing features for final merge.

We want to have this entire workflow managed by the right engineer.

Your job will be to take a feature brief, PRD, prototype, or Loom walkthrough and own the process from:

Input → clarification → implementation plan → AI-assisted build → self-review → QA → PR → merge-ready branch.

We are looking for someone who can take ownership, not create more management work.

What You’ll Do

You will be responsible for:

• Reviewing PRDs, prototypes, tickets, or Loom walkthroughs
• Asking clear, batched clarification questions
• Creating concise implementation plans before coding
• Using AI coding tools to accelerate development
• Reviewing and improving AI-generated code
• Building full-stack product features
• Writing or updating tests where appropriate
• Running QA before handing work over
• Creating clean, reviewable pull requests
• Documenting what was built, what changed, and what risks remain
• Preparing branches that are actually ready to merge
• Communicating clearly and asynchronously

What “Done” Means

A feature is not done when the code is written. A feature is done when:

• The implementation matches the PRD/prototype
• Acceptance criteria are completed
• Code is clean and understandable
• Build/lint/type checks pass
• Relevant tests are added or updated
• Manual QA has been completed
• Screenshots or Loom walkthrough are provided when relevant
• PR description is clear
• Risks, assumptions, and deviations are documented
• The branch is ready for review/merge

Ideal Candidate

You are probably a strong fit if you are:

• An experienced full-stack engineer with strong product judgment
• Experienced with AI coding tools such as Claude Code
• Comfortable taking a vague product idea and turning it into a working feature
• Able to review AI-generated code critically
• Strong with GitHub PR workflows
• Detail-oriented with good QA discipline
• Clear in written communication
• Comfortable working in a fast-moving startup environment
• Able to work independently without needing constant hand-holding
• Good at asking the right questions early

You Are Not a Fit, please do not apply if:

• You blindly trust AI-generated code
• You need every task broken down into tiny instructions
• You say “done” without testing your work
• You create large messy PRs
• You cannot explain your own code
• You are only comfortable with narrow frontend or backend tasks
• You are not comfortable with ambiguity
• You dislike writing implementation plans or QA notes
• You require constant synchronous direction

Required Skills

Please include your experience with:

• Full-stack web development
• Frontend frameworks
• Backend/API development
• Git/GitHub
• Pull request workflow
• Testing and QA
• AI-assisted coding tools
• Debugging and self-review
• Product-focused software development
• Nice to Have
• Startup experience
• Experience as a founding engineer or product engineer
• Strong UX/product taste
• Experience with automated testing
• Experience with CI/CD
• Experience with preview deployments
• Experience turning Figma/prototypes into production features
• Experience working directly with founders

How We Work

We will usually provide one or more of:

• PRD
• Prototype
• Figma
• Loom walkthrough
• Linear/Jira/Notion ticket
• Product brief
• Screenshots
• Existing codebase

You will be expected to return:

• Clarifying questions, if needed
• Implementation plan
• Branch/PR
• QA notes
• Test results
• Screenshots/Loom if relevant
• Clear summary of what was built
• Any risks, tradeoffs, or unresolved questions

Trial Task

We will start with a paid trial task.

The trial will involve a small real feature or product improvement. You will be asked to:

• Review the brief/prototype
• Write a short implementation plan
• Build the feature
• QA it
• Open a clean PR
• Provide a Loom or written walkthrough
• Document assumptions, risks, and anything not completed

We are not just evaluating whether the code works. We are evaluating whether you can own the delivery process end-to-end and how well you leverage AI.

What Success Looks Like

Success means the team can give you a PRD or prototype and receive back a merge-ready branch without needing to manage every step.

Great output looks like:

“I reviewed the feature brief, found two ambiguities, made reasonable assumptions, implemented the core flow, added tests, QA’d happy path and edge cases, documented one tradeoff, and the branch is ready for review. Management's input is only needed on this one product decision.”

Preference will be given to candidates who can work with high ownership and potentially become a long-term product engineering partner.

To Apply, please consider answering the following questions:

• What AI coding tools do you use regularly, and how do you use them?
• Walk us through your process for turning a PRD or prototype into a merge-ready branch.
• How do you QA your own work before asking for review?
• What are the biggest risks of AI-generated code?
• Share an example of a PR, project, or product feature you built that you are proud of.
• What stack are you strongest in?
• Are you comfortable doing a paid trial task?
• What does “merge-ready” mean to you?

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Role Summary

The Junior Manual Tester will support the QA team in testing Android, iOS, and web

applications. This role is suited for someone starting their career in software testing who is

eager to learn test design, execute manual test cases, identify defects, and collaborate with

the development team. Training and guidance will be provided to help the candidate grow

within the QA function.

Key Responsibilities

1. Requirement Understanding

●Review basic business and functional requirements to understand feature

expectations.

●Ask questions and clarify uncertainties with senior testers or product managers.

●Participate in requirement review meetings when needed.

2. Test Planning Support

●Assist in preparing simple test plans under guidance.

●Help identify key areas that require testing.

●Contribute to preparing basic test datasets.

3. Test Case Creation & Documentation

●Write simple, clear, and structured test cases for assigned modules.

Maintain and update test cases in tools such as JIRA or Zephyr Scale.

●Document expected vs. actual results with accuracy.

4. Test Execution

●Execute manual test cases on web browsers and mobile devices

(Android/iOS).

●Perform basic functional, UI, usability, and regression testing.

●Carry out cross-browser and cross-device testing as instructed.

5. Defect Reporting & Management

●Identify and log defects with clear steps to reproduce, screenshots, and observations.

● Track defects using JIRA and coordinate with developers for retesting.

● Verify fixed defects and ensure proper closure.

6. Exploratory Testing

●Conduct exploratory and ad-hoc testing to uncover additional issues beyond scripted scenarios.

●Highlight unusual behaviors and potential edge cases to the QA team.

7. Test Reporting

●Provide daily updates on test progress, issues, and blockers.

●Assist in preparing concise test summary reports at the end of each test cycle.

8. Basic Non-Functional Testing Exposure

●Perform basic checks related to performance, compatibility, and security under guidance.

●Validate application behavior across different browsers, OS versions, and devices.

9. Test Environment & Test Data Support

●Assist in setting up test devices, browsers, and environments.

●Prepare simple test data for positive, negative, and edge case scenarios.

●Inform developers or DevOps teams about any environment-related issues.

10. Collaboration & Continuous Learning

●Participate in Agile ceremonies including daily stand-ups, sprint planning, and retrospectives.

●Work closely with senior testers, developers, and product owners.

●Learn and adopt new testing tools, techniques, and QA best practices.

11. Optional (Preferred but Not Mandatory): Automation & API Testing Exposure

●Understand basic automation concepts by collaborating with automation engineers.

● Execute simple automated scripts if required.

● Perform basic API testing using Postman (status code and response validation).

Required Skills

● Bachelor’s degree in Computer Science, Information Technology, or a related field.

● Completion of a Manual Testing Course covering software testing fundamentals

● 1 year of experience in Manual Testing

● Basic understanding of software testing concepts, SDLC, and STLC.

● Familiarity with mobile and web applications.

● Good analytical and problem-solving skills.

● Strong attention to detail and ability to follow instructions.

● Basic knowledge of JIRA or any bug-tracking tool (training can be provided).

● Good Proficiency in English, written and verbal, and teamwork skills.

Preferred Skills (Nice to Have)

● Exposure to Postman or basic API testing.

●Understanding of JSON/XML data formats.

●Familiarity with automation tools such as Selenium or Espresso.

Why Join SurveyHeart

At SurveyHeart, we’re building a platform that empowers creators, educators, and businesses to engage through intelligent surveys and quizzes.

As part of our Testing team, you’ll work in a collaborative environment where Accuracy, speed, and accountability drive everything we do.

You’ll be trusted to take ownership, experiment boldly, and directly impact the growth of one of India’s most loved SaaS platforms.

Oracle Cloud HCM Technical 

Experience- 6 – 12 years 

Location- Hyderabad, Chennai, Bangalore, Pune, Kolkata, Noida, Gurgaon, Mumbai 

1.Practitioner/expert level knowledge in at least 2 of the following tools: HDL, HCM Extracts, 

BIP Reports, OTBI Reports, REST Web services, Fast Formula 

2.In depth knowledge in at least two of HCM Cloud Modules: 

∙Core HR   

∙Absences   

∙Benefits   

∙Payroll   

∙Workforce Compensation 

∙OTL 

∙Taleo 

∙OLC 

∙Oracle recruit. 

1.Cloud -certification will be an advantage 

2.Very good communication skills and excellent problem-solving skills. 

3.Direct client interaction experience will be an advantage

Exp - 4-6 years

Immediate joiners preferred

Location - Bangalore

Java + Spring boot 

Microservice 

MYSQL 

Design principal 

-Clear Communication: Practice clear and concise communication to effectively convey technical concepts.

- In-Depth Knowledge: Be prepared to provide detailed insights into experiences with specific technologies and tools, showcasing expertise.

- Specific Examples: Share real-world examples or projects where they have applied the mentioned technologies to demonstrate practical knowledge.

- Problem-Solving Skills: Be ready to discuss how they have solved real-world technical challenges in previous roles.

- Continuous Learning: Emphasize a commitment to continuous learning and staying updated with industry trends, especially in rapidly evolving fields like cloud technologies.

• Knowledge in React Native is a must.
• Should have 1-2 year prior experience in developing App in Android and IOS
• Should have deployed at least one app in play store and app store having more than 500+ download or having technical competency in similar level
• Should have eagerness to learn & grow in a fast-paced start-up & its dynamic environment
• Willing to go beyond and shows high performance

• Taking care of entire mobile app development (both android and IOS).
• Build pixel-perfect, responsive UIs across both mobile platforms
• Leverage native APIs for deep integrations with both platforms
• Diagnose and fix bugs and performance bottlenecks for performance that feels native
• Proficient in Object Oriented Programming

We are looking for a seasoned technology professional who can use their experience to build effective teams, high-performance culture, scalable processes and mentor aspiring talent. The candidate must be entrepreneurial, hands-on in technology, must have experience with design, development, and delivery of mobile apps, web applications and tech platforms, at scale. It is highly important for the candidate to have experience with eCommerce and is expected to have some experience in the retail sector, building technology systems and platforms.

The person is expected to be a technology leader with the capability of building and leading a high-performance engineering team.

Responsibilities

• Provide Technical authority in prospective meetings with other departments and provide guidance to developers
• Provide Hands-on Technical leadership, in the development, operation, and improvement of services
• Work with the wider team to ensure high-quality code is delivered in line with the project goals and delivery cycles
• Work with product managers to understand user needs for new/existing services
• Work closely with designers to deliver rapid prototypes as well as production code to ensure high accessibility standards are upheld. We expect familiarity with modern frameworks and languages, as well as best practices such as Clean Code, TDD, BDD, continuous integration, continuous delivery, and DevOps
• Attract, hire, retain and develop top-notch engineering/technology talent
• Implement technology product(s) as per the product requirements, using appropriate technologies
• The company’s tech-stack comprises Node.js (for Backend), MongoDB as the Database (MEAN stack), and Native App development (for iOS and Android)
• Communicate business goals to the engineers. Keep them focused on building the right product and in the right manner. Ensure that engineering is always adding business value and communicate this value to the business leaders
• Be an individual contributor if necessary. Engineering managers could spend ~20% of their time coding and contribute to the code base
• Perform regular code review of the code being developed by your team, to maintain the high quality of code

Qualification

• Computer Science & Engineering education/degree from an internationally recognized top technology institute or university
• 8-10 years of overall experience in the delivery of quality scalable and extensible software. Should currently be leading a team of top-notch developers as an Engineering Manager or Technical Architect.
• Experience of leading product development in B2C startups
• 4+ years of experience in architecting, designing, developing, and scaling high-quality mobile apps and end-to-end systems (consumer-facing and business-facing systems), under tight timelines and delivery pressure
• Experience with backend software development at a high scale. Experience with distributed systems, service-oriented architecture (SOA), and microservices design.
• Capacity to take the complete responsibility of developing and delivering a product-mobile apps and backend. Has good design sense. Has to experience with Node.js.
• Knowledge of new and cutting-edge technologies & tools. Experience working on complex projects having Analytics, Data-Science and Machine Learning components.