Power Platform Engineer

Software Development Engineer (Associate/Intern)

Location: Remote (India preferred) | Type: Full-time | Compensation: Competitive salary + early-stage stock options

🧠 About Alpha

Modern revenue teams juggle 10+ point-solutions. Alpha unifies them into an agent-powered platform that plans, executes, and optimises GTM campaigns—so every touch happens on the right channel, at the right time, with the right context.

Alpha is building the world’s most intuitive AI stack for revenue teams —to engage, convert & scale revenue with an AI powered GTM team. l

Our mission is to make AI not just accessible, but dependable and truly useful.

We’re early, funded, and building with urgency. Join us to help define what work looks like when AI works for you.

🔧 What You’ll Do

You’ll lead the development of our AI GTM platform and underlying AI agents to power seamless multi-channel GTMs.

This is a hybrid UX-engineering role: you’ll translate high-level user journeys into interfaces that feel clear, powerful, and trustworthy.

Your responsibilities:

• Design & implement end-to-end features across React-TS/Next.js, Node.js, Postgres, Redis, and NestJs micro-services for LLM agents.
• Build & document scalable GraphQL / REST APIs that expose our data model (Company, Person, Campaign, Sequence, Asset, ActivityRecord, InferenceSnippet).
• Integrate third-party APIs (CRM, email, ads, CMS) and maintain data sync reliability > 98 %.
• Implement the dynamic agent flow builder with configurable steps, HITL checkpoints, and audit trails.
• Instrument product analytics, error tracking, and CI pipelines for fast feedback and safe releases.
• Work directly with the founder on product scoping, technical roadmap, and hiring pipeline.

✅ What We’re Looking For

• 1–3 years experience building polished web apps (React, Vue, or similar)
• Strong eye for design fidelity, UX decisions, and motion
• Experience integrating frontend with backend APIs and managing state
• Experience with visual builders, workflow editors, or schema UIs is a big plus
• You love taking complex systems and making them feel simple

💎 What You’ll Get

• Competitive salary + high-leverage early equity
• Ownership of user experience at the most critical phase
• A tight feedback loop with real users from Day 1
• Freedom to shape UI decisions, patterns, and performance for the long haul

Job Title: Lead Microsoft Dynamics 365 Developer

Experience: 5 - 7+ Years

Location: Remote

Contract Duration: 6 Months (Extendable)

Compensation: 1.4 LPM

Shift Timing: Early Morning (7:30 AM or 8:30 AM Start)

Schedule: 5 Days per Week

Overview:

Wama Technology is seeking a seasoned Lead Microsoft Dynamics 365 Developer to join our team on a contract basis. The successful candidate will lead the design, development, and integration of enterprise CRM and Power Platform solutions. This role requires technical depth in the Microsoft stack and the ability to operate independently in a remote, global-aligned early morning shift to align with critical project requirements.

Key Responsibilities:

• D365 Development: Customize and configure Dynamics 365 Sales & Customer Service to meet complex business requirements.
• Marketing Integration: Implement and manage Customer Insights, Journeys Marketing, and Real-Time Marketing modules.
• Power Platform Expert: Build scalable solutions using Canvas Apps, Model-Driven Apps, and complex Power Automate workflows.
• Integration Management: Architect integrations leveraging Microsoft Azure, Service Bus, Directory Services, Data Factory, and robust Web APIs.
• DevOps & Quality: Maintain high code standards via Git and automated CI/CD pipelines in Azure DevOps.
• Technical Implementation: Develop custom features and extensions using C#, JavaScript, HTML, CSS, and SQL Server.

Technical Requirements:

• Experience: 5 to 7+ years of relevant professional experience, including team leadership.
• D365 Core: Dynamics 365 Sales, Customer Service, Customer Insights, Journeys Marketing, Real-Time Marketing.
• Power Platform: Advanced Power Apps (Canvas and Model-Driven) & Power Automate.
• Azure/Dev: Azure DevOps, Service Bus, Data Factory, Directory Services, Web APIs, C#, JavaScript, HTML, CSS, SQL Server.
• Domain Knowledge: Previous professional experience within the Insurance domain is highly advantageous.

Lead Product Engineer - Pod Captain 

A Little Bit About the Role

There is a version of this role that attracts the wrong person: a senior engineer who wants a title upgrade and a slightly bigger scope. That person will struggle here. The Lead PE is not a promotion for being a great individual engineer. It is a fundamentally different job.

Your success at this level is measured entirely by what your Island delivers — not by the quality of your own code. You will still write code, often the hardest and most risk-laden on the project: auth systems, payment integrations, data migrations, the things nobody else should touch. But that is a fraction of the role. The majority is managing delivery, owning the client relationship on the technical side, unblocking engineers before problems compound, and making scope calls under pressure with incomplete information.

You are also the technical and commercial bridge between your Island and the client. You own every piece of technical communication that goes to them — what is being built, what risks exist, what the honest timeline is. When a client pushes for something technically unsound, you push back directly and professionally, always with an alternative. When something breaks in production, you own the post-mortem process and the client receives it within 24 hours. You protect your team from unfiltered client pressure; you translate it into clear, actionable direction instead.

On top of delivery and client management, you are the AI operating standard for your Island. Every engineer on your pod uses Cursor and Claude within the rules you define. You set those rules before the first line of code is written, govern how they evolve, and you are accountable when AI-generated code ships without being understood.

If you are energised by all of that — by the accountability, by owning outcomes rather than tasks, by the combination of technical depth and people management — this role will suit you well. If you want to spend most of your time in code, this is not the right level.

AI Governance Expectation

You set the AI standard for your entire Island. If an engineer on your pod is shipping AI-generated code they do not understand, or underusing AI tools entirely, both are your problem to fix — not theirs alone.

At Lead level, AI governance means:

• Authoring the .cursorrules file before the first PR is opened. This defines how every engineer on the team writes code, uses Cursor, and structures prompts. You update it as the team learns, and you submit it to the Fountane Mainland at the close of every engagement.
• Evaluating new AI tools before they reach client code. You are the gate. A tool that looks useful in a demo can create untraceable technical debt in production. You decide what enters the workflow.
• Governing prompt discipline across the team: scoped prompts, codebase context hygiene, no AI-generated code that the author cannot explain line by line.
• Using Claude for architecture reasoning, sprint planning, risk documentation, and client-facing technical communication — not just Cursor for code generation. AI works at every layer of the Lead role, not just the coding layer.
• Staying ahead of the Golden Stack. You should know what Cursor and Claude can and cannot do at the codebase level better than anyone on your Island. When the Mainland updates the standard toolchain, you integrate the change into your Island’s workflow first.

Key Responsibilities

Technical Architecture & Standards Ownership

Design the full-stack architecture for every engagement before the first sprint starts: service boundaries, API contracts, database schema, state management strategy across web and mobile surfaces, and the security baseline. Author the .cursorrules file that governs how the entire Island writes code and uses AI. Own the highest-risk code personally — auth systems, payment integrations, live data migrations — these are not delegated regardless of workload. Enforce Mainland security standards across the entire codebase: input validation, correct auth scoping, safe data handling. If a security issue reaches production that was visible in a PR, that is a failure you own.

CE Prototype Gatekeeping

Review every Concept Engineer prototype before any engineer touches it. This is not a courtesy review — you have veto authority. If the scope is technically unrealistic for the sprint, the architecture is unbuildable as specified, or the prototype makes promises the codebase cannot keep, the sprint does not start until those are resolved. The time to surface a structural problem is before it is built, not after it is demoed. Produce a written checklist verdict for every prototype review — approved, approved with conditions, or blocked with reasons.

Client Technical Communication & Scope Ownership

Own all technical communication with the client directly. This means: what is being built each sprint, what risks exist and what is being done about them, honest timelines when estimates change, and clear explanations of technical decisions in plain language. Push back on risky or scope-expanding requests professionally and always with an alternative — “we cannot do X because Y; here is what achieves the same outcome.” Manage scope creep actively: every request that expands the engagement goes through you, gets assessed for impact, and is either absorbed, priced, or declined with a rationale. Renewal conversations are yours to lead in coordination with the CE.

Island Integration Audit

When a prospective client wants fractional augmentation — one or two roles rather than a full Island — you conduct the Island Integration Audit. This means evaluating their existing engineering team against Fountane Mainland SOPs: coding standards, AI tool usage, deployment practices, and documentation quality. If they pass, fractional deployment proceeds. If they do not, you produce a written audit report that either recommends full Island deployment or a Mainland upskilling programme. You are protecting your team’s velocity — a fractional deployment into a dysfunctional team destroys it.

Delivery & Velocity Management

Review the work cycle board every morning. Flag anything stuck, stale, or at risk before it becomes a client problem — not after. Communicate risks to the CE proactively with options, not just problems. Track every engineer’s billing hours: a shortfall spotted on Wednesday is a Thursday conversation, not a Friday surprise. If an engineer is consistently under-billing, that is either a workload problem, a capability problem, or a motivation problem — each has a different resolution and you are responsible for diagnosing which one it is.

Production Incident Ownership

When something breaks in production, you own the resolution process end to end: take technical lead, make the call on rollback vs. hotfix, communicate status to the client directly if the incident affects them, and own the post-mortem. The client receives the post-mortem within 24 hours of resolution — this is a hard commitment, not a target. The post-mortem covers: what happened, why it happened, what was done to fix it, and what structural change prevents recurrence. You produce it; it is not delegated to the engineer who caused the issue.

Automation & Infrastructure Boundary Arbitration

The Automation Engineer owns the test gates within the CI/CD pipeline. The Infrastructure Engineer owns the pipeline configuration itself. When these overlap and conflict — which they will — you arbitrate. The resolution must be documented in the Island’s .cursorrules and SOP onboarding document so the boundary does not need to be relitigated every sprint. This is not optional housekeeping; an unresolved boundary between these two roles is one of the most common sources of deployment failures on Islands.

Full Stack Ownership — Web & Mobile

You review and own work across the entire application layer: React / Next.js web frontends, React Native or Flutter mobile apps, Node.js / Python backends, and database schema. You cannot delegate a review of mobile code because you do not know mobile, or backend code because your background is frontend. If there is a gap in your full-stack depth, that is something to resolve before taking this role, not on the job.

People Management & Mentoring

Hold bi-weekly 1:1s with every engineer on the Island — focused on growth, blockers, and career direction, not status updates. Status belongs on the board; 1:1s are for the person. Address performance gaps early, directly, and specifically: a pattern spotted in week two is a conversation in week two, not month three. Protect the team from unfiltered client anxiety — absorb it, process it, and give the team clear direction instead of noise. If an engineer is struggling, that is your problem to solve before it becomes the client’s problem to notice.

Network Contribution

At the close of every engagement, submit to the Fountane Mainland: the .cursorrules file, all prompt templates used, a short retrospective on what worked and what did not, and any reusable patterns or scripts developed during the engagement. This is a Lead-level obligation, not a nice-to-have. The network’s collective capability grows through what Leads bring back from the field. An engagement that ends without a Mainland submission has left the network no smarter than it was before.

Qualifications

• 8+ years of software engineering experience, with at least two years in a role where you were accountable for delivery outcomes — not just your own code. You should be able to describe an engagement where something went wrong on your watch, what you did about it, and what you would do differently. If your experience is entirely individual-contributor, this role will be a difficult fit.
• Genuinely full stack across web and mobile: React / Next.js, React Native or Flutter, Node.js or Python, and database architecture including schema design and migrations. You review and own work across all of these surfaces — not just the ones you are most comfortable in.
• Hands-on, daily Cursor and Claude usage with the ability to set and enforce standards for how a team uses them — not just personal proficiency. You should be able to describe the .cursorrules file you would write for a standard SMB engagement and explain the decisions behind it.
• Proven ability to communicate technical risk and decisions directly to non-technical clients — not through a PM, directly, in plain language. You should be able to describe a client pushback you navigated and how you handled it.
• Experience managing scope on a real engagement: a client who wanted more than was in the contract, and how you resolved it without damaging the relationship or the team’s velocity.
• Has conducted security-aware architecture design: auth systems, input validation, safe data handling. You should be able to describe a security decision you made and why.
• Has led or coordinated a small engineering team — run 1:1s, addressed performance gaps, made scope calls under pressure. Management experience at a staffing agency or outsourcing firm counts if the accountability was real.
• Comfortable having direct, specific performance conversations early — not after the situation has compounded. You should be able to describe a time you addressed a performance issue at the first sign rather than waiting.
• Bachelor’s or Master’s in Computer Science or a related field, or equivalent experience.

About Fountane

Fountane is a technology ventures lab - one part product studio, one part startup engine. We build high-quality software and AI products for clients ranging from fast-moving startups to large enterprises, and we co-build and invest in new companies when we see the right opportunity.

Founded in 2017 and headquartered in Minneapolis, we have grown to 60+ people across four continents and were recognised as one of America’s fastest-growing companies, ranking No. 699 on the Inc. 5000 with 595% three-year growth.

We are serious about craft, direct about expectations, and operate at the frontier of AI-assisted engineering. Lead PEs here carry real authority and real accountability — over delivery, over people, and over client outcomes. If that combination is what you are looking for, this is the place.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Contract: 6 months, with potential extension based on project needs and performance

Location: Bengaluru or Chennai, India

Work Mode: Hybrid from Infosys office from day one

Role Summary:

We are seeking a Senior Dynamics 365 CRM Developer / Technical Lead to design, build, integrate, and support Microsoft Dynamics 365 Customer Engagement solutions. The role includes hands-on development, technical leadership, support issue resolution, and mentoring junior developers in an Agile delivery environment.

Click to apply: https://forms.gle/iDRf1PaDyReoxisCA

Key Responsibilities:

- Develop and customize Microsoft Dynamics 365 CE Online solutions across Sales, Service, and Marketing modules.

- Build and maintain plugins, workflows, business process flows, Power Automate flows, and Dataverse customizations.

- Develop integrations using Azure Functions, Web API, REST APIs, JavaScript, C#/.NET, and SQL.

- Configure Dataverse security roles, data models, forms, views, business rules, and solution components.

- Use Azure DevOps for work tracking, source control, build/release processes, and delivery coordination.

- Troubleshoot CRM support issues, coordinate timely closure, and identify recurring problems for long-term fixes or cost optimization.

- Review code, guide junior developers, and ensure solutions follow agreed architecture, quality, and security standards.

- Participate in Agile/Scrum ceremonies, estimation, sprint planning, and delivery reporting.

Required Skills and Experience:

- 6+ years of hands-on experience, or equivalent practical expertise, in Microsoft Dynamics CRM / Dynamics 365 CE development.

- Strong experience with Dynamics 365 CE Online, Dataverse, plugins, workflows, Power Automate, C#/.NET, SQL, Web API, REST APIs, and Azure Functions.

- Experience with JavaScript-based CRM customizations and CRUD operations through Web API calls.

Review Criteria

• Strong Forward Deployed / Client-Facing Software Engineer / Integration / Product Support Engineer profiles
• 3+ years of hands-on software engineering experience, ideally in SaaS, enterprise tech, consulting, or platform-based engineering
• Strong proficiency in at least one programming language (Python / Java / JavaScript / TypeScript)
• Solid foundation in Data Structures, Algorithms, System Design, and ability to build production-grade solutions quickly
• Experience working on API integrations, backend services, data pipelines, or workflow-based systems
• Excellent analytical and problem-solving capability; ability to work directly with enterprise clients to diagnose and solve complex technical issues
• Strong communication skills and proven ability to collaborate with product, engineering, and customer teams
• Willingness to travel frequently to global client sites for deployments and solution delivery
• B.Tech / B.E. in Computer Science from Tier-1 institutes (IITs, BITS, NSIT, DAIICT, DTU, etc.)
• (Company) - Product Company only

Preferred

• Exposure to cloud services, data integration, ETL/Reverse ETL, or workflow automation tools.
• Experience with React / frontend frameworks, low-code development, or building internal tools.
• Familiarity with AI/ML, GenAI tools, LLM-driven automation, or experience applying them to real use cases.

Job Specific Criteria

• CV Attachment is mandatory
• Provide your current CTC Breakup (Fixed + Variable)
• What's your college name (undergraduate) and branch?
• What's your Current Company?
• Are you ok for traveling frequently to global client sites?
• How many years of experience do you have in Backend development?
• How many years of experience do you have in Frontend development?

Role & Responsibilities

As a Forward Deployed Software Engineer (FDSE), you’ll work at the intersection of engineering, problem-solving, and customer impact. You’ll embed with enterprise clients, understand real-world problems, and design and implement solutions using the company platform. This role is ideal for high-potential engineers from Tier-1 colleges who want to work on real enterprise-scale problems, gain full-stack exposure, and grow rapidly in a high-impact SaaS environment.

Key Responsibilities:

• Work with client and internal teams to understand complex business processes, legacy systems, and integration needs.
• Design, build, and deploy solutions using the company platform across data, workflows, and GenAI/LLM use cases.
• Develop data pipelines, API integrations, and low-code apps to solve high-impact problems.
• Collaborate closely with company’s product and engineering teams to shape platform capabilities through real deployments.
• Rapidly prototype, iterate, and deliver production-grade solutions with high ownership.
• Contribute to internal accelerators, templates, and best practices.

Ideal Candidate

Qualifications - Required:

• B.Tech / B.E. in Computer Science from Tier-1 institutes such as IITs, BITS, NSIT, DAIICT, DTU etc.
• > 3 years of professional experience.
• Proficiency in at least one programming language: Python, Java, JavaScript, or TypeScript.
• Strong foundation in data structures, algorithms, and system design.
• Excellent analytical and problem-solving skills.
• Strong communication and ability to work collaboratively.
• Willingness to travel frequently to client sites across the globe.

Qualifications - Preferred:

• Exposure to data integration, APIs, cloud services, or workflow tools.
• Experience with React / frontend frameworks or low-code platforms.
• Familiarity with AI/ML concepts or GenAI tools.
• Prior internships in SaaS, enterprise tech, or consulting environments.

ROLES AND RESPONSIBILITIES:

We are looking for a Software Engineering Manager to lead a high-performing team focused on building scalable, secure, and intelligent enterprise software. The ideal candidate is a strong technologist who enjoys coding, mentoring, and driving high-quality software delivery in a fast-paced startup environment.

KEY RESPONSIBILITIES:

• Lead and mentor a team of software engineers across backend, frontend, and integration areas.
• Drive architectural design, technical reviews, and ensure scalability and reliability.
• Collaborate with Product, Design, and DevOps teams to deliver high-quality releases on time.
• Establish best practices in agile development, testing automation, and CI/CD pipelines.
• Build reusable frameworks for low-code app development and AI-driven workflows.
• Hire, coach, and develop engineers to strengthen technical capabilities and team culture.

IDEAL CANDIDATE:

• B.Tech/B.E. in Computer Science from a Tier-1 Engineering College.
• 3+ years of professional experience as a software engineer, with at least 1 year mentoring or managing engineers.
• Strong expertise in backend development (Java / Node.js / Go / Python) and familiarity with frontend frameworks (React / Angular / Vue).
• Solid understanding of microservices, APIs, and cloud architectures (AWS/GCP/Azure).
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Excellent communication and problem-solving skills.

PREFERRED QUALIFICATIONS:

• Experience building or scaling SaaS or platform-based products.
• Exposure to GenAI/LLM, data pipelines, or workflow automation tools.
• Prior experience in a startup or high-growth product environment.

Job Description/Responsibilities

• Candidate should be strong in Core ABAP + S4HANA Implementation/Migration

• Good hands-on knowledge on Core ABAP and OOABAP

• Must have Implementation and Migration to S4HANA.

• Good hands-on experience and knowledge is required on OData, CDS, AMDP, RAP

• Experience in SAP Enhancement Framework.

• Experience in Dialog Programming, Smart Forms, SAP Script, User Exits.

• Dictionary, Business Add-In, BADIs, Data Interfaces, RFC, ALE, ALV, IDOCS, BDC, BAPI, BDC, LSMW, Web-UI.

• Good Knowledge on SAP Tables Fields, Domains and on creating Search Help.

• Experience in SQL Trace, SAP Run time analysis, Debugging ABAP, Query Info Sets.

• Experience with report development, performance tuning, modification, and support of SAP customized and standard programming.

• Knowledge in web services (SOAP/REST/HTTP POST).

• Proven success in contributing to a team-oriented environment.

• Result oriented and able to work independently.

• Proven ability to work creatively and analytically in a problem-solving environment.

• Excellent leadership communication written and oral and interpersonal skills.

• Strong sense of ownership and commitment.

• Adhering and contributing to guidelines and quality standards.

• 5 to 7 years of professional experience in Siebel design and development
• 4 years of at least working experience in public sector eServices implementations
•  Low/No-Code development experience
•  Hands-on experience in Siebel 8. x configuration (including Siebel Tools, workflows, Siebel Scripting, Run time Events, DVM, and Siebel Open UI) is required
•  Hands-on experience in Siebel EAI Technologies HTTP, FTP, XML Transports, Web Services, and Integration workflow Processes.
•  Experience in Siebel Scripting (eScript/SVB), Business Services, & using Siebel Adapters/Connectors/APIs
•  Experience in JQuery and Ajax is highly preferred
• Siebel BI Publisher reports, contracts and agreements experience is highly preferred
•  Functional experience of Siebel 8. x Application is preferred
• Knowledge/experience in analyzing and transforming business requirements into functional design is preferred
•  Knowledge/experience in MS CRM Dynamics is preferred