Jobs at Wissen Technology

Design and develop scalable web applications across the full stack using Node.js, Python, TypeScript, React, or Angular. Build RESTful APIs, containerize services with Docker, integrate PostgreSQL databases, implement authorization, and use event-driven technologies such as Kafka. Collaborate with designers, developers, and product managers; troubleshoot, debug, test, and optimize application performance and workflows.

Lead end-to-end global recruitment for technical and non-technical roles, including requirement gathering, sourcing, screening, interviews, stakeholder communication, offer negotiation, onboarding, and pipeline development. Manage high-volume and niche hiring mandates during US hours, track recruitment metrics and ATS records, ensure strong candidate experiences, meet hiring SLAs, and mentor junior recruiters while improving processes.

Design, build, and maintain scalable UI and API automation frameworks using Selenium and Playwright. Develop cross-browser tests, debug failures, analyze root causes, and produce detailed reports. Integrate automated testing into Jenkins, GitHub Actions, or Azure DevOps CI/CD pipelines. Collaborate with development, QA, and DevOps teams, participate in Agile ceremonies, and contribute to test planning and strategy.

Provides L2/L3 support for Calypso applications, resolving production incidents, bottlenecks, data discrepancies, and functional or technical issues. Analyzes logs, thread dumps, and database queries while managing critical incidents and SLAs. Builds and optimizes CI/CD pipelines, automates infrastructure and environment management, and containerizes Calypso components using DevOps tools. Collaborates with business analysts, clearing houses, and trading desks supporting back-office, middle-office, and market data interfaces.

Design, develop, and maintain scalable Java backend applications, microservices, REST APIs, and event-driven architectures using Apache Kafka. Implement producers, consumers, topics, partitions, and message workflows; optimize performance and reliability; troubleshoot production issues; conduct code reviews; and support CI/CD and DevOps practices. Collaborate with architects, product owners, and cross-functional teams in Agile/Scrum environments.

Designs and analyzes A/B tests, multivariate experiments, and randomized controlled trials for e-commerce products. Owns the experimentation pipeline from hypothesis development through post-experiment analysis, applies causal inference and advanced statistical modeling, and builds predictive models for customer behavior, conversion, retention, pricing, recommendations, and personalization. Collaborates with engineering, product, and marketing teams, improves experimentation methodologies, conducts research, and mentors junior data scientists.

Build, optimize, and maintain scalable production data pipelines using Python, PySpark, Databricks, and SQL. Develop real-time streaming solutions with Apache Kafka, use workflow orchestration and CI/CD practices, and implement data observability, monitoring, and quality frameworks. The role requires production deployment experience, DevOps or infrastructure-as-code exposure, and strong data processing expertise in Azure Databricks.

Design, develop, and optimize scalable batch and real-time data pipelines using Python, PySpark, Spark, DBT, and Airflow. Build high-performance ETL frameworks, data platforms, REST API integrations, and CI/CD workflows. Ensure data governance, security, reliability, and operational stability while troubleshooting production issues and optimizing queries. Collaborate with architects, product teams, and stakeholders, mentor junior developers, and use AI-assisted development tools to improve productivity.

Design and maintain automated tests for Collibra, SharePoint, web, API, microservices, and cloud-native applications. Develop automation scripts using modern testing frameworks and Python, JavaScript, or TypeScript. Automate functional, regression, integration, and end-to-end testing, integrate tests with CI/CD pipelines on AWS or GCP, and use REST/GraphQL and testing support platforms. Mentor junior QA staff and collaborate with cross-functional teams.

Develop and maintain scalable full-stack enterprise applications using Java, Spring Boot, microservices, and Angular or ReactJS. Responsibilities include designing REST APIs, frontend development, database modeling and query optimization, code reviews, debugging, performance optimization, Agile collaboration, deployment support, production issue resolution, and adherence to security and coding standards. The role collaborates with QA, DevOps, product, business, and technical teams, with preferred exposure to cloud platforms, Docker, Kubernetes, Kafka, CI/CD, NoSQL, and scalable system architecture.

Develop and support Java applications on the Calypso platform for trading and post-trade operations. Responsibilities include customizing workflows, BO modules, reports, engines, and scheduled tasks; building API integrations; supporting trade capture, settlement, reconciliation, and reporting; troubleshooting production issues; optimizing SQL queries; and participating in upgrades and performance tuning. The role requires collaboration with operations and business stakeholders in capital markets environments.

Lead the design and implementation of AI-agent-driven end-to-end testing workflows. Architect scalable UI and API automation frameworks, establish validation guardrails, assess AI-generated code and tests, and mitigate AI security risks. The role also involves defining test specifications, measuring productivity impact, mentoring QA engineers, and integrating modern QA, CI/CD, DevOps, and distributed-systems practices.

Design, develop, test, and maintain scalable Java backend applications using Spring Boot, RESTful APIs, microservices, and relational databases. Responsibilities include integrating third-party services, optimizing performance and security, troubleshooting production issues, conducting code reviews, collaborating with cross-functional teams, and contributing to CI/CD and deployment processes.

Design, build, and optimize enterprise-scale batch and streaming data pipelines using Python, PySpark, Databricks, cloud platforms, dbt, and Airflow. Develop governed, reliable data platforms with strong performance, quality, lineage, security, and cost controls. Responsibilities include data modeling, workflow orchestration, CI/CD automation, Spark optimization, stakeholder collaboration, code reviews, mentoring junior engineers, and driving end-to-end delivery from architecture through production.

Design, build, and deploy production-grade GenAI applications using LLMs, RAG pipelines, AI agents, and orchestration frameworks. Develop scalable backend integrations and cloud-native deployments across Azure, AWS, or GCP. Optimize and evaluate models, implement observability, monitoring, guardrails, and safety measures, and work with structured and unstructured data. Collaborate with cross-functional teams, contribute to AI architecture, and mentor junior engineers.

Lead the architecture, design, development, and delivery of enterprise applications using Java, Spring Boot, microservices, and React. Responsibilities include system design, distributed systems, event-driven architecture, database and cloud integration, testing, CI/CD, code reviews, mentoring, and end-to-end Agile delivery. The role requires hands-on technical leadership, team management, performance and scalability expertise, and familiarity with observability, infrastructure as code, API gateways, and DevSecOps.

Develop and maintain scalable test automation frameworks using Java, Selenium, and Playwright. Create and execute functional, regression, smoke, integration, API, and backend tests across web applications, browsers, and environments. Integrate automated suites into CI/CD pipelines, track and analyze defects, support root-cause resolution, and collaborate with development, product, QA, DevOps, and Agile teams to ensure quality deliverables.

Designs and delivers production-grade generative AI applications, reusable RAG pipelines, agent workflows, document processing systems, and cloud-native architectures. Integrates AI into enterprise systems with strong engineering, DevOps, observability, security, and reliability practices. Develops model-agnostic solutions, establishes responsible AI guardrails, leads architecture reviews, mentors engineering teams, and accelerates AI solutions from prototype to production.

General talent application for future technical and non-technical opportunities at Wissen Technology. Applicants should submit an updated resume and brief cover letter, demonstrate interest in technology and solving business problems, communicate effectively, collaborate well, adapt to fast-paced environments, and show initiative, motivation, and eagerness to learn. Open to fresh graduates and experienced professionals with 0–10 years of experience in Mumbai, Pune, or Bangalore.

Develop scalable full-stack web applications using TypeScript, React or Angular, Python, and Node.js. Build RESTful APIs and server-side services, integrate databases and event-driven technologies, and containerize services with Docker. Collaborate with UI/UX designers, developers, and product managers to deliver responsive, high-performance solutions. Responsibilities include coding, debugging, testing, and meeting project deadlines. Exposure to LLM integrations, AI tooling, and AWS is advantageous.