Requirements Engineer ([email protected])

Hello Everyone,

Job Description Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting.

 Required Skills: • Exp. - 5 to 14 years.

• Experience in Core Java and Spring Boot.

• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.

 • Should have the ability to analyze, design, develop and test complex, low-latency clientfacing applications.

• Good development experience with RDBMS.

 • Good knowledge of multi-threading and high-performance server-side development.

• Basic working knowledge of Unix/Linux.

• Excellent problem solving and coding skills.

• Strong interpersonal, communication and analytical skills.

• Should have the ability to express their design ideas and thoughts.

About Wissen Technology:

Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen hassuccessfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world. Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider.

Role Summary

We are hiring a Data Engineer / ML Data Pipeline Engineer to build and operate the data backbone of the Enterprise AI platform:

What You'll Own

• Ingestion & ETL/ELT pipelines for heterogeneous project folders (PDF drawings, SVG files, IFC models, BBS.json bar-bending-schedule data, Excel exports, and AI agent output JSON).
• AWS-based data architecture: S3 raw/staging/curated/outputs structuring, partitioning, versioning, and lifecycle management; querying via Athena/Glue and warehousing via Redshift or Snowflake as needed.
• Data validation frameworks: GUID cross-referencing between SVG and BBS data, schema enforcement, duplicate/orphan detection, reference integrity checks, and structured validation reporting.
• Agent run logging & observability: designing the database schema and pipelines that track every AI agent run (inputs, outputs, status, errors, cost, retries, reviewer feedback).
• AI Factory monitoring dashboards: operational dashboards (failure rates, retries, latency, data quality) and business dashboards (throughput, cost per run, rework rate) for Power BI/QuickSight or equivalent.
• ML data pipeline support: dataset preparation, labeling/annotation workflows, human-in-the-loop review tooling, and dataset versioning for models that classify or QC drawing issues.
• APIs: designing and building FastAPI/Flask endpoints to trigger validation runs and expose agent processing status to internal tools.
• Data quality & testing discipline: idempotent pipelines, quarantine/reject handling, regression and reconciliation testing, and root-cause debugging when pipelines or query performance degrade in production.

Key Skills — Non-Negotiable (Must-Have, Strong Level)

• Python — production-grade scripting: file/folder handling, JSON/schema processing, clean error handling, not just notebook-level scripting.
• SQL — strong hands-on ability, including GROUP BY/HAVING for duplicate detection, window functions, and daily aggregate/rate calculations (e.g., success-rate queries).
• AWS S3 data handling — practical experience structuring buckets for raw/staging/curated data, versioning, and avoiding overwrite issues at scale.
• Data validation — demonstrable experience building validation logic (set comparisons, duplicate/missing detection, structured pass/fail reporting), not just "I write assertions."
• ETL/ELT pipeline design — end-to-end ownership of at least one pipeline: source → transform → storage → validation → monitoring → business outcome, with clear articulation of what they personally built.
• Query/warehouse engine judgment — working knowledge of when to use Athena vs. Redshift vs. Snowflake (or equivalent), partitioning, clustering, sort/distribution keys, and storage format trade-offs (Parquet vs. JSON vs. CSV).

Key Skills — Good to Have

• Dashboarding — Power BI / QuickSight (or equivalent) fact/dimension table design, KPI cards, drill-downs; medium-to-strong level is a plus but trainable.
• FastAPI / Flask — building real endpoints with request/response schemas and basic error handling; especially valuable for validation-trigger and agent-status APIs.
• ML data pipeline experience — dataset labeling, annotation platform design, train/test/validation splitting, dataset versioning; strong on the pipeline/data side rather than model training itself.
• Human-in-the-loop / review tooling — experience building or contributing to browser-based labeling/review platforms (session persistence, label schema, export formats).
• Large-scale metadata querying — experience making file discovery fast across large volumes (1,000+ projects, thousands of files each) via metadata index tables, event-based ingestion, or catalog tools like AWS Glue.

Total Experience: 4+ years

Mode of Hire: Permanent

Required Skills Set (Mandatory): HTML, JavaScript, Node.js, Express.js, MongoDB, React/Next.js, AI Integration (LLMs/APIs - OpenAI, Anthropic, Gemini)

Desired Skills (Good if you have): Cloud Platforms (AWS), System Design, Application Security

What is the role all about?

We're hiring full-stack engineers who build with AI, not the traditional way. You should be fluent in modern web engineering, primarily Node.js, and just as fluent in using LLMs and AI tools (Cursor, Claude Code, and similar) to ship fast. Work that once took a month should take a week; what took a week should take a day.

The role spans a range, from architecting backends for non-trivial products like assistants and agents, to rapidly turning a requirement into a clean, customer-facing app or MVP. Be strong in at least one area, be comfortable across the system as a whole, and tell us where you're strongest so we can place you accordingly.

What will you do?

• Plan, build, and ship product features end-to-end, with AI embedded where it has the most impact.
• Integrate LLMs and AI APIs into production-grade applications.
• Use AI tools to prototype, build, and deliver at high speed without sacrificing quality.
• Design scalable APIs and data models with Node.js, Express.js, and MongoDB.
• Build responsive, performant, customer-facing interfaces with React/Next.js.
• Contribute to design discussions, code reviews, and architectural decisions.

What are we looking for?

AI leverage: 

• You've shipped real things using LLMs or AI APIs and instinctively reach for AI to move faster. 
• Comfortable with prompt engineering and judging AI output for production-readiness.

Engineering depth and delivery:

• Solid fundamentals: problem-solving, data structures, and how systems fit together. 
• At least 2+ years across frontend (React/Next.js), APIs (Node.js/Express.js), and databases (MongoDB). 
• You write clean, production-grade code and you ship.
• Knowledge of application security or ethical hacking is an advantage.

Culture

• Work with performance-oriented teams driven by ownership and passion.
• Learn to design systems for high accuracy, efficiency, and scalability.
• No strict deadlines, focus on delivering quality work.
• Meritocracy-driven, candid culture. No politics.
• Very high visibility regarding which startups and markets are exciting globally.

About Tracxn

Tracxn (Tracxn.com) is a Bangalore-based product company that provides a research and deal-sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals in the startup ecosystem.

We are a team of 800+ working professionals serving customers across the globe. Our clients include Funds such as Andreessen Horowitz, Matrix Partners, and GGV Capital, as well as Large Corporates such as Citi, Embraer & Ferrero.

Founders

• Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
• Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team

Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure, in which almost everyone is actively involved in technical development and design. We have a team-centric culture where ownership and responsibility for a feature or module lie with a team rather than an individual.

We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.

We value ownership, continuous learning, consistency, and discipline as a team.

Review Criteria:

Mandatory:

• Strong UAT / Functional Test Lead Profiles
• Must have minimum 7 years of overall testing experience, with at least 3 years of recent UAT experience, primarily in manual testing for large enterprise or government project
• Must have worked on minimum 2 national-level e-Governance, public sector, enterprise, or marketplace projects in a UAT lead or ownership role
• Must have 3+ years of team handling experience, leading 7–8 QA/UAT members, including task assignment, review, mentoring, and delivery ownership
• Must have complete ownership of UAT activities, including UAT planning, execution, acceptance sign-off, defect management, retesting, and regression cycles.
• Must have strong hands-on manual testing experience, with the ability to create test scenarios and test cases from BRDs, user stories, functional documents, and Figma/UI screens.
• Must be able to understand HLD/LLD documents and API specifications and perform manual API testing based on business logic.
• Must have BE/BTech/MTech/MBA (BSc/BCA alone is not acceptable; with Bsc/BCA candidates must have a relevant postgraduate degree MCA/MTech)

Preferred:

• ISTQB Advanced Test Manager or equivalent is preferred

Ideal Candidate:

• 8 + years’ experience in UAT, with at least 2 National-level e-Governance solutions / Enterprise platforms / Marketplace projects.
• Proficiency in test planning, execution oversight, acceptance criteria definition, defect triage, regression cycle management.
• Proficient in understanding business requirements by going through BRDs, User Stories, Figma screens to define test scenarios and test cases.
• Ability to analyze high level and low-level design documents, API specifications to identify the business logic developed and create test cases to test the APIs.
• Hands-on experience of defining high quality test scenarios, test cases with ability to review and guide the test team members in doing the same.
• Education/Certifications: B.E./ B.Tech. / MTech/ MCA/ MS (Computer Science/IT)/ISTQB Advanced Test Manager or equivalent required.

Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)

Mandatory (Experience 1): Must have 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).

Mandatory (Experience 2): Must have 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.

Mandatory (Experience 3): Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.

Mandatory (Skills 1): Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.

Mandatory (Skills 2): Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.

Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.

Mandatory (Skills 4): Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.

Mandatory (Company): B2C product organizations (fintech, e-commerce, edtech, or consumer platforms) with large-scale user datasets and analytics maturity.

Mandatory (Note): Don’t want data analysts; looking for strategic behavioral insight leaders or research-driven analytics professionals focused on user behavior and product decision-making.

Strong Senior UI/UX Product Designer profile – IC Role in B2C Mobile Apps

Mandatory (Experience 1): 4+ YOE as a Product Designer, UI/UX Designer, or Mobile App Designer with strong IC ownership in tech/startup environments

Mandatory (Experience 2): Strong experience as a Fullstack Product Designer (UI + UX) for Mobile Apps (especially Android)

Mandatory (Core Skill 1): Must be highly proficient in Figma - able to create wireframes, user flows, high-fidelity mockups, and micro-interactions from scratch

Mandatory (Portfolio): Strong UI/UX portfolio of B2C Mobile Apps; Portfolio should reflect strong UI, Interaction, Visual Design skills (UI Heavy portfolio) (preferably launcher/utility/feed-driven apps)

Mandatory (Company): B2C product companies

Mandatory (Exclusion): Payment gateway companies

.Frontend Developer for a Construction Tech startup.Kolkata-based or with roots in Kolkata.

Requirements:React.js,Javascript

• Readsoft INVOICES
• AP invoices process cycle from Readsoft OCR to Cockpit & final posting
• Understanding on Readsoft INVOICES, configurations, mailbox/collector setup
• New profile setup in Readsoft INVOICES & Cockpit & customization on existing profile & fields
• Good understanding on Process Director (Cockpit), PDWeb
• Troubleshooting in Readsoft OCR & Cockpit to fix the issues
• Understating on USER EXISTS & basics on ABAP programming
• Invoices Optimization
• SAP transport process including Charm
• Analyze and Identify impact of Kofax patches
• Linkages in ABAP and Ariba to SAP integration
• Knowledge of any core functional module of SAP will be an added advantage
• Good Communication skill, Very Good team player and good analytical and problem-solving skill
• Knowledge of Kofax KPI analytics an added advantage