SAP ABAP

Key Responsibilities

• Design, implement, and maintain highly available infrastructure on AWS.
• Automate infrastructure provisioning using Terraform (Infrastructure as Code).
• Define and monitor SLIs, SLOs, and error budgets to improve service reliability.
• Build and manage CI/CD pipelines to enable safe and frequent deployments.
• Implement robust monitoring, alerting, and logging solutions.
• Perform incident response, root cause analysis (RCA), and postmortems.
• Improve system resilience through automation and self-healing mechanisms.
• Optimize cloud resource utilization and cost (FinOps awareness).
• Collaborate with development teams to improve application reliability.
• Manage containerized workloads using Docker and Kubernetes (EKS preferred).
• Implement security and compliance best practices across infrastructure.
• Maintain operational runbooks and documentation.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 7–8 years of experience in SRE, DevOps, or Production Engineering.
• Strong hands-on experience with AWS services.
• Proven experience with Terraform for infrastructure automation.
• Experience building CI/CD pipelines (GitHub Actions, Jenkins, or similar).
• Strong scripting skills (Python, Bash, or Shell).
• Experience with Linux system administration.
• Hands-on experience with monitoring and observability tools.
• Good understanding of networking and cloud security fundamentals.
• Experience with Git and branching strategies

POSITION OVERVIEW

We are seeking an experienced Senior Data Scientist & Generative AI Specialist on a contractual basis to support a premier Germany-based chemical manufacturing enterprise. In this role, you will lead the end-to-end design, development, and deployment of production-grade GenAI applications, multi-modal LLM workflows, and advanced retrieval platforms tailored to complex industrial and enterprise data ecosystems.

Working closely with cross-functional global teams, you will build robust backend microservices, implement state- of-the-art RAG/GraphRAG architectures, and leverage cloud-native AI infrastructure (Azure, Vector DBs, Knowledge Graphs) to drive operational efficiency and data-driven innovation.

KEY RESPONSIBILITIES

• GenAI & LLM System Engineering: Design, build, and deploy production-grade multi-modal GenAI applications processing text, structured technical documentation, images, and telemetry data.
• Advanced RAG & Graph Architecture: Implement cutting-edge Retrieval-Augmented Generation (RAG) and GraphRAG pipelines using document parsing frameworks, custom embeddings, vector databases, and knowledge graphs to capture complex domain relationships.
• Scalable Backend Development: Architect high-throughput, low-latency microservice APIs using Python, FastAPI, and Flask, leveraging asynchronous programming (asyncio) and strict type validation (Pydantic) for long-running LLM processes.
• Agentic Systems & Azure Ecosystem: Build autonomous agent systems using modern frameworks (MCP, A2A) and orchestrate enterprise workflows across the Microsoft Azure AI ecosystem (Azure AI Foundry, AI Search, Document Intelligence, Databricks).
• Model Optimization & Evaluation: Execute systematic LLM fine-tuning, prompt optimization, and rigorous evaluation frameworks to assess AI output accuracy, reliability, and business impact against industrial requirements.
• Data Layer Management: Architect and maintain enterprise database layers combining SQL (PostgreSQL) for structured transactional data with specialized vector search engines and graph stores.
• Rapid Prototyping: Utilize AI-assisted development tools (Copilot, Claude Code) to accelerate delivery timelines and rapidly build functional UI prototypes for client feedback.

TECHNICAL QUALIFICATIONS

Core Development & Backend:

• Python Mastery: Deep expertise in writing clean, production-ready Python using asynchronous programming (asyncio), strict type-hinting (Pydantic), and automated testing patterns.

• Backend Microservices: Hands-on experience building microservices with FastAPI and Flask structured to handle asynchronous, long-running AI background tasks.

• Database Engineering: Strong command of PostgreSQL, relational schema design, vector indexing, and knowledge graph paradigms.

Machine Learning & AI Infrastructure:

• Model Expertise: Hands-on experience with leading multi-modal LLM architectures (OpenAI, Anthropic, Google) and domain-specific AI workflows.

• Retrieval & Parsing: Proven track record with document extraction frameworks, embedding models, vector search engines, and GraphRAG architectures.

• Cloud Infrastructure: Strong proficiency with Azure AI infrastructure (Foundry, Databricks, AI Search, Document Intelligence).

• Agentic Frameworks: Practical experience with open-source agent protocols (MCP, A2A), parameter-efficient fine-tuning (PEFT/LoRA), and model evaluation methodology.

CONTRACT & REMOTE REQUIREMENTS

• Contract Engagement: Contractual structure tailored to project milestones and deliverables.

• 100% Remote Setup: Fully equipped home office with high-speed, secure internet infrastructure.

• Timezone Overlap: Guaranteed 4-hour daily overlap with Central European Time (CET/CEST - Germany) to ensure smooth collaboration with enterprise stakeholders.

• Communication: Fluent professional English communication skills (written and spoken) for asynchronous and real-time technical coordination. 

Develop and maintain scalable applications using MongoDB, MySQL/PostgreSQL, Node.js, Express.js, React.js, and TypeScript.

Design, develop, and optimize RESTful APIs and GraphQL services.

Lead and mentor a team of developers, ensuring best coding practices, performance, and security.

Collaborate with UI/UX designers, product managers, and DevOps teams to streamline development.

Contribute to AI-powered application development (if experienced in AI/ML).

Required Skills & Qualifications

✅ 2.5+ years of experience in MERN stack development.

✅ Expertise in React.js, TypeScript, Node.js, and Express.js.

✅ Strong database management skills with MongoDB, MySQL, or PostgreSQL.

✅ Proven experience in leading development teams and conducting code reviews.

✅ Excellent problem-solving and communication skills.

✅ Bonus: Experience in AI/ML-based applications is a plus.

Why Join Us?

🚀 Exciting Projects – Work on AI-driven and scalable web solutions.

🤝 Leadership Opportunity – Lead and mentor a talented team of developers.

💰 Competitive Compensation – ₹40K - ₹60K per month.

🏡 Dynamic Work Environment – Collaborative, innovation-driven workplace.

Position: Oracle Fusion HCM Functional Consultant

Experience: 8+ Years

Preferred Location: Delhi-NCR

Notice Period: Immediate to Maximum 30 Days

Employment Type: Full-Time

About the Role

We are looking for an experienced Oracle Fusion HCM Functional Consultant with strong expertise in Oracle Fusion HCM implementations and support projects. The candidate should possess excellent functional knowledge across core HCM modules and be capable of handling requirement gathering, solution design, configuration, testing, and client interactions independently.

Key Responsibilities

·        Work on Oracle Fusion HCM implementation, rollout, enhancement, and support projects.

·        Gather and analyze business requirements and translate them into functional solutions.

·        Configure Oracle Fusion HCM modules as per business requirements.

·        Prepare functional design documents, setup documents, test scripts, and user training materials.

·        Coordinate with technical teams for integrations, reports, and customizations.

·        Conduct CRP/UAT sessions and support end-user training activities.

·        Provide production support and resolve functional issues within SLA timelines.

·        Interact directly with business users and stakeholders across global projects.

·        Support data migration and validation activities.

·        Collaborate with cross-functional Oracle teams when required.

Required Skills

·        8+ years of overall Oracle HCM experience with strong experience in Oracle Fusion HCM.

·        Strong functional expertise in Core HR, Absence Management, Payroll, Talent Management, Compensation, Performance Management, and Recruitment / ORC.

·        Experience in at least 2–3 end-to-end Oracle Fusion HCM implementations.

·        Strong understanding of HCM business processes and best practices.

·        Experience in requirement gathering, fit-gap analysis, and solution design.

·        Good knowledge of HDL/HSDL, OTBI, BI Reports, and integrations.

·        Ability to work independently and manage client communications.

·        Excellent analytical, communication, and documentation skills.

Preferred Qualifications

·        Oracle Fusion HCM Certification preferred.

·        Experience working with global clients/projects is an advantage.

·        Exposure to integration tools and reporting solutions is preferred.

Candidate Criteria

·        Candidate must be based in or willing to work from the Delhi-NCR region.

·        Notice period should not exceed 30 days.

Soft Skills

·        Strong communication and presentation skills.

·        Client-facing and stakeholder management capabilities.

·        Problem-solving mindset with attention to detail.

·        Ability to work in a fast-paced consulting environment.

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

• Needs to generate qualified opportunities within target industry accounts wherein each opportunity should contain:
• Diagnosis of the prospect's business pains, where Unbxd solutions can fit in, understanding of prospects' buying cycle, procurement process, budgets etc. 
• Needs to identify accounts and do extensive prospect territory planning for the given region.
• Also conduct detailed prospect research within focused industry verticals. 
• Ability to develop a 'Why Unbxd, Why Now' proposition for each prospect interaction, identify and follow up on all marketing leads. 
• Support all the industry or solution specific marketing events in the region. 
• Ongoing record keeping and forecasting within Salesforce CRM & make use of prospecting support tools such as LinkedIn, eTailInsights etc.....

• Design and build advanced applications for the Android platform
• Collaborate with cross-functional teams to define, design, and ship new features
• Work with outside data sources and APIs
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Headquartered in Silicon Valley, Gupshup is a global leader in cloud messaging, enabling businesses to build engaging conversational experiences, seamlessly across 30+ messaging channels, using a globally available cloud API.

Gupshup handles over 4.5 billion messages per month and has processed over 225 billion messages, enabling over 36,000 businesses to engage nearly a billion users across channels including SMS, WhatsApp, Facebook Messenger, Twitter, WeChat, Viber, Slack, Android RCS, Mobile App and Mobile Web.

Gupshup offers a comprehensive product portfolio that includes an easy to use omni-channel messaging API, advanced bot building platform and mobile marketing tools. Gupshup has also forged strategic partnerships with Facebook, WhatsApp, Google and Cisco to offer innovative mobile messaging solutions with broad reach.

We have an opportunity for Software Engineer-UI

Job Responsibilities: