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Job Title : Lead Java Developer (Backend)

Experience Required : 8 to 15 Years

Open Positions : 5

Location : Any major metro city (Bengaluru, Pune, Chennai, Kolkata, Hyderabad)

Work Mode : Open to Remote / Hybrid / Onsite

Notice Period : Immediate Joiner/30 Days or Less

About the Role :

• We are looking for experienced Lead Java Developers who bring not only strong backend development skills but also a product-oriented mindset and leadership capability.
• This is an opportunity to be part of high-impact digital transformation initiatives that go beyond writing code—you’ll help shape future-ready platforms and drive meaningful change.
• This role is embedded within a forward-thinking digital engineering team that thrives on co-innovation, lean delivery, and end-to-end ownership of platforms and products.

Key Responsibilities :

• Design, develop, and implement scalable backend systems using Java and Spring Boot.
• Collaborate with product managers, designers, and engineers to build intuitive and reliable digital products.
• Advocate and implement engineering best practices : SOLID principles, OOP, clean code, CI/CD, TDD/BDD.
• Lead Agile-based development cycles with a focus on speed, quality, and customer outcomes.
• Guide and mentor team members, fostering technical excellence and ownership.
• Utilize cloud platforms and DevOps tools to ensure performance and reliability of applications.

What We’re Looking For :

• Proven experience in Java backend development (Spring Boot, Microservices).
• 8+ Years of hands-on engineering experience with at least 2+ years in a Lead role.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Good understanding of containerization and orchestration tools like Docker and Kubernetes.
• Exposure to DevOps and Infrastructure as Code practices.
• Strong problem-solving skills and the ability to design solutions from first principles.
• Prior experience in product-based or startup environments is a big plus.

Ideal Candidate Profile :

• A tech enthusiast with a passion for clean code and scalable architecture.
• Someone who thrives in collaborative, transparent, and feedback-driven environments.
• A leader who takes ownership beyond individual deliverables to drive overall team and project success.

Interview Process

1. Initial Technical Screening (via platform partner)
2. Technical Interview with Engineering Team
3. Client-facing Final Round

Additional Info :

• Targeting profiles from product/startup backgrounds.
• Strong preference for candidates with under 1 month of notice period.
• Interviews will be fast-tracked for qualified profiles.

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

About the Role

We’re looking for a passionate Fullstack Product Engineer with a strong JavaScript foundation to work on a high-impact, scalable product. You’ll collaborate closely with product and engineering teams to build intuitive UIs and performant backends using modern technologies.

Responsibilities

• Build and maintain scalable features across the frontend and backend.
• Work with tech stacks like Node.js, React.js, Vue.js, and others.
• Contribute to system design, architecture, and code quality enforcement.
• Follow modern engineering practices including TDD, CI/CD, and live coding evaluations.
• Collaborate in code reviews, performance optimizations, and product iterations.

Required Skills

• 4–6 years of hands-on fullstack development experience.
• Strong command over JavaScript, Node.js, and React.js.
• Solid understanding of REST APIs and/or GraphQL.
• Good grasp of OOP principles, TDD, and writing clean, maintainable code.
• Experience with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, etc.
• Familiarity with HTML, CSS, and frontend performance optimization.

Good to Have

• Exposure to Docker, AWS, Kubernetes, or Terraform.
• Experience in other backend languages or frameworks.
• Experience with microservices and scalable system architectures.

Role - ETL Developer

Work Mode - Hybrid

Experience- 4+ years

Location - Pune, Gurgaon, Bengaluru, Mumbai

Required Skills - AWS, AWS Glue, Pyspark, ETL, SQL

Required Skills:

• 4+ years of hands-on experience in MySQL, including SQL queries and procedure development
• Experience in Pyspark, AWS, AWS Glue
• Experience in AWS ,Migration
• Experience with automated scripting and tracking KPIs/metrics for database performance
• Proficiency in shell scripting and ETL.
• Strong communication skills and a collaborative team player
• Knowledge of Python and AWS RDS is a plus

Full Stack senior developer with ReactJS & Redux

• Node js with Express framework

• Knowledge of HTML, CSS and Javascript with React JS
• Experience with MongoDB
• Knowledge of RESTful APIs.
• Experience with web paradigms such as REST, Responsive Web Design etc.
• Experience with CI/CD tooling (at least Git and Jenkins)
• Good understanding of code versioning tools, such as GIT
• Good to know Agile/Scrum/Kanban

About QuestionPro:

QuestionPro is one of the leading market research platforms. We have a wide range of products in Market Research, Customer Experience, Employee Experience, Vehicle Experience. All our products are multi-tenant SAAS platforms built on the latest technologies.

Our infrastructure is spread across 6 Data Centers across the globe. The platform collects over 10Million Surveys every month. Our Customer Experience platform was named top provider in the Gartner Voice of the Customer Rankings. Ever since we launched in 2016, we have grown by over 200% YoY. All up we are on plan to hit $ 31M in 2021. We are bootstrapped and proud to get where we are without any funding or investments. 

Our operations are spread across the globe with offices in the US, Mexico, Germany, UK, UAE, and Canada. 

https://www.questionpro.com/blog/cx-top-provider-gartner-voc-rankings/

We are a bootstrapped company and proud to have not taken any funding or investment.

QuestionPro has a particularly exciting journey ahead, requiring a passionate individual to join our growing team. If you are a true technology craftsman and want to build cutting-edge software solutions, hit us!

We operate 100% remote. You will be working from any place you desire for this position.

Responsibilities

• Be a team player: contribute to our culture, invent new ways to address industry needs, criticize constructively, and help create a world-changing company
• Develop from the ground up a modular architecture to support a web API
• Manage all aspects of the software life cycle (Requirements gathering, Testing, Deployment, Support)
• Design and implement low-latency, high-availability, and performant applications
• Implement security and data protection
• Build exciting applications by utilizing updated technologies and architectural design patterns 
• Ability to attract talent and build a team. 

Skills & Requirements

   Must-Have:   

• Passionate about creating high-quality, flexible code
• Strong understanding of REST API principles and best practices
• Expertise in Java, 
• Expertise in MySQL/Elasticsearch, Mongo or any NoSQL Database
• Proficient with Git
• Proficient with front-end technologies JavaScript, CSS & HTML
• Proficient in design patterns
• Good understanding of MVC architecture

   Good To Have:

• Python, R, Docker, Kubernetes, ES6+
• Proficiency in ReactJS
• Any experience in ML/ NLP

• 9+ years of experience in enterprise web application design and development with 4+ years of experience as an automation architect.
• Experienced in technology stack selection and the definition of solution, technology and integration architectures for small to mid-sized applications and cloud hosted platforms
• Strong understanding of various design and architecture patterns
• Experience in implementing and governing software engineering processes, practices, tools and standards for development teams
• Experience of setting up and operating the DevOps and automation infrastructure for continuous integration and delivery
• Full SDLC experience leveraging Agile, TDD and BDD for building and rolling out highly transactional and highly available platforms hosted on premise and on the cloud
• Proficient in effort estimation techniques
• Must be hands on technology and able to troubleshoot critical issues in design or code
• Experience in Mobile Applications automation using SeeTest, Appium
• Strong hands-on experience of designing and developing technology frameworks and micro-services, APIs, REST Web Services, leveraging Java and open source technology stack (i.e. Java, JavaScript, Node.js/ Angular.js/ React.js, Spring Bot, Non-blocking Java, etc. )
• Hands on experience with JBehave, Cucumber, TestNG, Extent Reports
• Strong design, development and performance tuning skills on at least two or more databases such as Oracle, SQL Server, NOSQL and NewSQL (e.g. PostgresQL, Cassandra, Mongo DB, Cosmos DB, MySQL etc.)
• Experience on enterprise architecture patterns and a couple of past examples of architecting high availability, scale and performance applications 
• Strong experience with code review and evaluate the architecture as well as design towards a set of business and technology goals
• Experience with SonarQube code coverage and code quality
• Experience with Cypress JavaScript automation
• Experience on command prompt tools like Shell Script, UNIX
• Hands on experience on Cloud stacks (AWS preferred)
• Hands on experience with standalone applications automation using UFT, LeanFT and VB Script
• Knowledge of principles on code quality, distributed applications, TDD & test automation, self-monitoring applications, refactoring and technical debt

The key aspects of this role: 

• Candidate with exceptional programming skills, problem-solving abilities and strong work  ethic. 
• The candidate has to work on custom programming and web application development for  Drupal. 
• Testing, maintenance and troubleshooting of existing company sites and resolving issues if  any. 
• Contributing ideas and efforts towards internal projects and working as part of a team to  find solutions on various problems. 
• Communicate technical ideas to business users and other teams (design, QA). • Collaborate with team members and to work independently when needed. • Eager to embrace current and emerging web technologies. 

To be the right fit, you'll need: 

• Experience of total 4+ years working on PHP and Drupal 7,8 Development (at least 2+ years  in Drupal 8) 
• Strong knowledge of MySQL, jQuery, HTML5, CSS 
• Experience with Drupal architecture, best practices and coding standards 
• Knowledge on Views, Services etc. 
• Experience in custom module and theme creation 
• Familiar with sub version control systems such as Git or SVN 
• Basic knowledge of environment setup for Linux distribution

• Developing new user-facing features using React.js

• Building reusable components and front-end libraries for future use

• Translating designs and wireframes into high quality code

• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model

• Thorough understanding of React.js and its core principles

• Experience with popular React.js workflows (such as Flux or Redux)

• Familiarity with newer specifications of EcmaScript

• Experience with data structure libraries (e.g., Immutable.js)

• Knowledge of isomorphic React is a plus

• Familiarity with RESTful APIs
• Knowledge of GraphQL is a plus.

• Knowledge of modern authorization mechanisms, such as JSON Web Token

• Familiarity with modern front-end build pipelines and tools

• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

• Ability to understand business requirements and translate them into technical requirements

• A knack for benchmarking and optimization

Familiarity with code versioning tools such as Git


Timeline: