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Oracle SOA Developer at Zyapaar(Lets Talk Business pvt. ltd) · Remote only · 3 - 5 years · ₹3L - ₹8.5L / yr · Bootstrapped · Remote only · Posted 17 Dec 2024

Zyapaar(Lets Talk Business pvt. ltd)'s logo

Oracle SOA Developer

Asnani Varsha's profile picture
Posted by Asnani Varsha
3 - 5 yrs
₹3L - ₹8.5L / yr
Remote only
Skills
skill iconJava
PL/SQL
System integration
API

Work Details: approx. 3-4 Months of development work and require support for next 3 months.

Job Role:

The selected professional/company will be responsible for:

  1. Understanding our software's API structure and Oracle SOA framework.
  2. Developing and implementing API integrations to connect our software with the specified Oracle SOA modules.
  3. Ensuring seamless functionality and data synchronization between systems.
  4. Performing rigorous testing to validate the integrations.
  5. Providing ongoing support, troubleshooting, and resolving any issues during and after the integration process.
  6. Setup the Development/UAT environment for the Oracle SOA integrations.

Modules to Integrate:

  • Purchasing
  • Payables
  • Supplier
  • Inventory
  • General Ledger (GL)

Scope of Work:

  1. API Integration: Establish seamless integration of APIs between our software and the above-mentioned Oracle SOA modules.
  2. Data Flow & Functionality: Ensure smooth data flow and consistent functionality between systems.
  3. Support & Troubleshooting: Provide support and resolve any issues arising during the integration process.
  4. Relevant Experience: Demonstrate prior experience with Oracle SOA integrations.

We are looking for professionals or organizations capable of delivering on these requirements effectively.

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Zyapaar(Lets Talk Business pvt. ltd)

Founded :
2020
Type :
Product
Size :
20-100
Stage :
Bootstrapped

About

Zyapaar is a B2B state of art networking platform to connect, collaborate for seamless supply chain cycle which enables MSME (Micro, Small & Medium Enterprises) & Corporates of India for buying & selling requirements with 100% verified businesses.

Founded by 4 dynamic leaders with overall 80 years of experience together in the B2B, B2C & B2G industries. The founders Nirav Shah, Vishal Dhori, Palak Shah & Pankaj Modi aim to build a network for small, medium or large businesses in India with cost effective supplies of new markets for buyers & sellers. With the rise of global pandemic, 67% businesses have actively engaged with online networks to reach out for new methods & sources of supplies to gain or generate qualified B2B leads, with which Zyapaar was incepted.

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Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

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Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM


ABOUT THIS MANDATE :


Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.


This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.


We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.


THE OPPORTUNITY AT A GLANCE :


AI-First Engineering Culture :

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Hands-On Engineering Leadership :

  • Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.


People & Org Builder :

  • Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.


KEY RESPONSIBILITIES :


1. Hands-On Technical Engagement :

  • Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
  • Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
  • Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
  • Identify and resolve systemic technical debt and architectural risks across team-owned services
  • Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
  • Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability


2. AI Adoption, Integration & Transformation (2026 Mandate) :

  • Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
  • Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
  • Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
  • Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
  • Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
  • Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
  • Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
  • Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications


3. People Leadership & Team Development :

  • Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
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  • Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
  • Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
  • Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
  • Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering


4. Engineering Delivery & Execution Excellence :

  • Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
  • Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
  • Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
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  • Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
  • Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership


5. Strategic Leadership & Cross-Functional Influence :

  • Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
  • Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
  • Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
  • Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
  • Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
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AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :


In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :


AI Developer Productivity

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LLM & GenAI Product Features

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AI-Augmented Observability

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Team AI Fluency :

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Responsible AI Governance :

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TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :


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Education :

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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