
Oracle Functional
Job Description
Oracle EBS Techno Function with 4+ years' of experience
Excellent functional knowledge of Financial modules (Specially GL, FA)
Expertise in Oracle EBS Financial, Project, Purchasing module
Able to understand the accounting concepts
Few technical skills like PLSQL, personalization, XML reports
Worked on Oracle EBS 12.2+ implementation and support
Qualifications
Graduate specially with accounts
Additional information
Excellent verbal and written communication skills.

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Technical Evaluation Engineer
Experience: 8+ years (3+ in leadership)
Location: [Add location]
Description:
We’re looking for a Head of Technical Recruiting with a strong understanding of software development to lead and scale our tech hiring. You will partner with engineering leadership to define hiring needs, build efficient interview processes, and deliver high-quality hires across backend, frontend, data, platform, and product engineering roles.
Key Responsibilities:
Lead end-to-end technical hiring strategy
Partner with CTO/Engineering leaders on workforce planning
Manage and mentor technical recruiters
Design and improve technical interview processes
Drive senior and critical tech hires
Track and improve hiring metrics (time-to-hire, quality, funnel)
Requirements:
6+ years in recruiting, primarily technical hiring
3+ years leading recruiting teams
Strong understanding of software development and tech stacks
Experience hiring across engineering roles (BE/FE/FS/Data/DevOps, etc.)
Strong stakeholder management and communication skills
Nice to Have:
Engineering or technical background
Experience in fast-growing tech companies
Location: Mumbai, Maharashtra, India
Sector: Technology, Information & Media
Company Size: 500 - 1,000 Employees
Employment: Full-Time, Permanent
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 :
- Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.
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)
- Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
- Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
- 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.
- Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
- 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
- Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use
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
- Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.
LLM & GenAI Product Features
- Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.
AI-Augmented Observability
- Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.
Team AI Fluency :
- Build mandatory AI literacy across all engineering levels.
- Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.
Responsible AI Governance :
- Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.
TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :
- Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
- Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
- AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
- Copilot: Cursor /Hugging Face
- Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
- Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
- Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
- MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
- Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
- CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)
QUALIFICATIONS & CANDIDATE PROFILE :
Education :
- B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
- Demonstrated engineering depth and leadership impact may complement institution pedigree
Experience :
- 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
- Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
- Hands-on backend engineering background must be able to read, write, and critique production code
- Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
- Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
- Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
- Demonstrated career stability minimum of 2 years of average tenure per organisation.
The Ideal Engineering Manager in 2026 :
- Leads with context, not control, empowers engineers while maintaining accountability and quality
- Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
- Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
- Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
- Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
- Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
- Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites
WHY THIS ROLE STANDS APART :
AI Transformation at Scale :
- Lead one of the most significant AI adoption programmes in India's digital media sector.
- Our decisions will shape how hundreds of engineers work in 2026 and beyond.
Hands-On & Strategic Balance :
- A rare EM role that actively encourages technical depth.
- Stay close to the code while owning the people agenda - the best of both worlds.
Established Platform, Real Scale :
- 5001,000 engineers, proven product-market fit, and the org maturity to execute.
- This is not a greenfield startup gamble it is a serious company with serious ambition.
Clear Leadership Growth Path :
- A visible, direct path toward Director / VP of Engineering.
- Senior leadership is invested in growing its next generation of technology executives.
We are seeking an experienced & highly skilled Java Lead to join our team. The ideal candidate will have a strong background in both front end & Back-end Technologies with expertise in JAVA, and Spring.
As a Lead, you will be responsible for overseeing the development
team, architecture saleable application & ensuring best practices in software development. This role requires a hands on leader with excellent problem solving abilities & a passion for mentoring junior
team members.
Responsibilities
- Lead & mentor a team of developers proving guidance on coding standards, architecture & best
- practices
- Architect, design & develop ent to end JAVA based web applications & ensure high performance,
- security & scalability
- Work closely with cross functional teams, including product managers, designers & other developers
- to ensure alignment on project requirements & deliverable.
- Conduct code reviews & provide constructive feedback to team members to improve code quality &
- maintain a consistent codebase
- Participate in Agile/Scrum Ceremonies such as stand ups, sprint planning & retrospectives to
- contribute to the development process.
- Troubleshoot & resolve complex technical issues & ensure timely resolution of bugs & improvements.
- Stay up to date with emerging technologies & industry trends recommending & implementing
- improvements to keep our stack modern & effective
Skills & Requirements
- Minimum 8 Years of experience in Java development, with at least 2 years in Lead developer role.
- Back-end - Core JAVA/JAVA8, Spring-boot, Spring Framework, Micro-services, Rest API’s, Kafka,
- Database - MySQL
- Must be working in the fintech/ Payments domain
Preferred
- Experience with Batch writing, Application performance, Caches security, Web Security
● 5+ years of experience as a Data engineer or related role.
● 5+ years of experience in application development using Python
● Strong experience with SQL and good to have NoSQL.
● Experience with Agile engineering practices.
● Preferred experience in writing queries for RDBMS, cloud-based data warehousing solutions like
Snowflake.
● Ability to work independently or as part of a team.
● Experience with cloud platforms, preferably AWS, is good to have
● Experience with ETL/LT tools and methodologies.
● Experience working on real-time Data Streaming and Data Streaming platforms
Data Semantics
We are Product base company and Microsoft Partner
Data Semantics is an award-winning Data Science company with a vision to empower every organization to harness the full potential of its data assets. In order to achieve this, we provide Artificial Intelligence, Big Data and Data Warehousing solutions to enterprises across the globe. Data Semantics was listed as one of the top 20 Analytics companies by Silicon India 2018 & CIO Review India 2014 as one of the Top 20 BI companies. We are headquartered in Bangalore, India with our offices in 6 global locations including USA United Kingdom, Canada, United Arab Emirates (Dubai Abu Dhabi), and Mumbai. Our mission is to enable our people to learn the art of data management and visualization to help our customers make quick and smart decisions.
Our Services include:
Business Intelligence & Visualization
App and Data Modernization
Low Code Application Development
Artificial Intelligence
Internet of Things
Data Warehouse Modernization
Robotic Process Automation
Advanced Analytics
Our Products:
Sirius – World’s most agile conversational AI platform
Serina
Conversational Analytics
Contactless Attendance Management System
Company URL: https://datasemantics.co
JD:
.Net
.Net Core
Logic App
SQL
Regards,
Deepu Vijayan | Talent Acquisition
- Experience working with ASP.NET MVC, Entity Framework, LINQ, NoSQL, and Message Queue
- Demonstrated understanding of best practices in building web based applications
- Familiarity with SQL Server / Oracle Databases
- Demonstrated knowledge of enterprise architecture, design patterns and SOA services
- Responsible for design, code, configuration, and implementation of high quality software solutions
- Analyzes and automates tasks, automating tasks through scripting and tools
- Works closely with technical leaders to help develop solution architecture, core system components, and proof of concepts
- Work both autonomously and with relevant teams to tackle complex technical issues
- Participate in design, code, and QA walkthroughs and reviews
We are looking for a Senior Microsoft SQL Developer to design, develop, test, plan, implement and maintain conceptual and logical database models.
For this role, you should know how to analyze system requirements and implement migration methods for existing data. Hands-on experience with SQL Server 2012 and above is also required. Ideally, you are familiar with database design, reviewing code, writing stored procedures, creating and modifying SQL agent jobs, making structural changes to tables and views.
Ultimately, you will develop database solutions to ensure project information is stored effectively and securely.
We’re a fast-growing company with clients in the United States, UK, and Australia. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030.
Working as Senior Microsoft SQL Developer at Navtech, you will:
- Design conceptual and logical data models and flowcharts.
- Improve system performance by conducting tests, troubleshooting, and integrating new elements.
- Design and Build database systems of high availability and quality depending on each end user’s specialized role.
- Help write and optimize in-application SQL statements.
- Handle common database procedures such as upgrade, backup, recovery, migration, etc.
- Ensure performance, security, and availability of databases.
- Use high-speed transaction recovery techniques and backup data.
- Provide proactive and reactive data management support and training to users.
- Determine, enforce and document database policies, procedures, and standards.
- Perform tests and evaluations regularly to ensure data security, privacy, and integrity.
- Monitor database performance, implement changes, and apply new patches and versions when required.
- 5+ years of experience in SQL Server Development with at least 1 year of Lead experience.
- Advanced experience in database monitoring, troubleshooting, performance tuning, and high availability strategies for SQL Server 2016, SQL Server in Cloud (AWS RDS preferred).
- Advanced skills in resolving database locking conflicts/blocking and resource utilization.
- Ability to work with other developers and engineers to analyze database performance and identify problems in areas such as execution plans, index coverage, and SQL server statistics.
- A thorough understanding of Performance Monitoring, Tuning, and Optimization, using native and third-party monitoring and troubleshooting tools.
- Advanced knowledge of SQL Server Disaster Recovery (DR) options, Always On availability groups, and experience administering Windows Server, including Active Directory, Failover clustering, database partitioning, security, and encryption (a plus).
- Experience supporting SSIS, SSRS, replication, database mirroring (a plus).
- PowerShell scripting experience with the ability to write automated scripts and strong knowledge of system tables and DMV’s is required. (a plus).
- Administering Microsoft SQL Server databases in a high transaction, 24x7 database environment (a plus).
- Experience in Postgres, No-SQL databases (a plus).
- MCSA SQL Server 2012/2016 , MCSE or MCDBA (a plus).
- Should have excellent logical, analytical, and communication skills with client interaction experience.
Benefits
- Working with industry giants while following your passion for technology.
- Competitive pay package with additional bonus and benefits.
- Performance review and Appraisal Twice a year.
- Family Health Insurance cover for self and family.
- Work with US, UK, and Europe-based industry-renowned clients for exponential technical growth.
- Work with a culturally diverse team from different geographies
Senior Software Engineer (Python)
Job description
Fulfil’s software engineers develop the next-generation technologies that change how millions of customer orders are fulfilled by merchants. Our products need to handle information at massive scale. We're looking for engineers who bring fresh ideas from all areas into our technology.
As a senior software engineer, you will work on our python based ORM and applications that scales to handle millions of transactions every hour. This is mission critical software and your primary focus will be building robust and scalable solutions that are easy to maintain.
In this role, you will be collaborating closely with the rest of the team working on different layers of infrastructure in an international environment. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product are important.
What You’ll Do:
- Own definition and implementation of API interfaces (REST and GraphQL). We take pride in our 100% open API with over 600 endpoints.
- Implement simple solutions to complex business logic that enables our merchants to manage financials, orders and shipments across millions of transactions.
- Build reusable components and packages for future use.
- Translate specs and user stories into reviewable, test covered patches.
- Peer review code and refactor existing code.
- Integrate with our eCommerce partners (Shopify, BigCommerce, Amazon), shipping partners (UPS, USPS, FedEx, DHL) and EDI.
- Manage Kubernetes and Docker based global deployment of our infrastructure.
Requirements
We’re Looking for Someone With:
- Experience working with ORMs like SQLAlchemy or Django
- Experience with SQL and databases (Postgres preferred)
- Experience in developing large server side applications and microservices
- Ability to create high quality code
- Experience with python testing tools (pytest) and test automation
- Familiarity with code versioning tools like GIT
- Strong sense of ownership and leadership quality
- Experienced in the tools of our web stack
- Python
- Celery
- Postgres
- Redis
- RabbitMQ
Nice to Haves:
- Prior experience at a growth stage Internet/Software company
- Experience with ReactJS, Google Cloud, Heroku
- Cloud deployment and scaling experience
About Us:
Fulfil.io helps high growth, high volume merchants simplify operations and scale for growth. With the rise in omni-channel commerce, Fulfil was founded with the simple idea that merchant operations need to be simplified in order to deliver amazing retail experiences. Fulfil enables businesses to turn their back office operations into an accelerator for growth by integrating order management, inventory management, warehouse management, vendor/supplier management, wholesale, manufacturing, financials and customer service, into one seamless solution. We believe merchants should love their operations platform, and we work hard to make that happen every single day. Fulfil.io is a trusted solution for brands like EndySleep, Mejuri, Lie-Nielson Toolworks, and many more.
Fulfil.io is a venture backed technology company with offices in San Francisco, Toronto, and Bangalore. The team is made up of people who want to feel challenged at work, be the best at their craft and learn from one another. We come from different backgrounds and experiences, all passionate about the work we do, the team we do it with, and the customers we do it for. Join us in our journey to simplify operations and empower merchants around the world!
Job Description-
Backend Developer- Senior
Experience - 3-6 years
Location: Pune/Kota
Minimum Qualifications:
- BE/B.Tech or ME/M.Tech in Computer Science.
- Must have “Can Do Attitude” towards work
- Must have work exp of 3-6 years
- Must have programming exp of 1-2 years in any of Python/Golang/Java languages
- Must have worked in product based company
- Ready to work in a startup and adaptable to a dynamic environment
- Ready to accept ad-hoc requirements and track them till they get implemented
- Ready to learn new technologies like Andriod, Angular, etc.
- Good at HTTP basics, OOPs concepts, data structures, algorithms, networking and
security aspects
- Ability to write clean code and maintain it
- Good at SQL/No-SQL databases
Preferred Qualifications:
- Experience in any good product based startup
- Experience in working with the team and managing a small team of 2-5 associates
- Experience in being a mentor for co-developers
- Experience in design/developing scalable systems.
- Experience in public cloud platforms services/APIs of AWS, Google Cloud, etc.
- Experience in data engineering
- Experience in SOA/Microservice architecture development
Responsibilities:
- Design and develop scalable services and APIs in Python/Golang
- Always maintain the services secure
- Should optimize APIs for mobile data and apps
- Use off-the-shelf and state-of-the-art services for faster development of product
- Guide team members with designs
- Take the end to end ownership of features and resolve customer issues on priority
- Mentor/guide/monitor junior developer
- Expertise Android/Angular to the required extent and guide app developers while
designing APIs
Opportunities in the role:
- LearnAngular, Python, Node.js, Golang, ELK stack, MEAN/MERN
- Work on AWS, Azure, Google Cloud Platform
- Work on databases like RDS, MongoDB, Big Table & DynamoDB, Redis, Aerospike
- Experience with SQL/ NoSQL Databases (RDS, DynamoDB, Google Datastore, Redis)
- Experience with ELK stack.
- Fast prototyping of proof-of concept features/application based on a brief
- Work on data engineering

Responsibilities:
- Thorough understanding of Reconciliation and hands on development experience on Intellimatch 9.2.7 or higher version
- Comprehensive understanding of SDLC in developing new Reconciliations in IntelliMatch. Involvement across all stages of Software Development life cycle (SDLC) including business requirement analysis, data mapping, validate data against requirement, build, unit testing, peer reviews, systems integration and user acceptance testing.
- Analyze & develop Test Strategies, design Test Plans, & generate and execute Test Cases.
- Should be able to perform enhancements, whereby need to analyze existing set-up and understand the requirement by performing proper impact analysis, provide estimate and deliver quality code.
- Independent player should be able to liaise with different team to re-solve/get dependencies on time. Should be able to for-see issue/risk and intimate the same to team lead / project manager.
- Should be able to guide support team.
- Deep knowledge on IntelliMatch Database linkage and functionalities is necessary for timely resolution of user queries.
- Propose improvements related to the development and support activity.
- Develop stored procedures to build reports for the end users using SQL 2016










