Wissen Technology

• Perform hands-on development using Java, Spring Boot, Angular.
• Drive solution design, code quality, best practices, and performance optimization.
• Work closely with the client’s product owners and architects.
• Conduct code reviews, technical grooming, and sprint planning.
• Troubleshoot and resolve complex technical issues.
• Ensure timely delivery of modules with high quality.
• Mentor team members and support them in solving technical blockers.

Technical Skills Required

• Strong expertise in Java 8+, Spring Boot, REST APIs.
• Strong front-end experience with Angular 8+, TypeScript, HTML, CSS.
• Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.).
• Hands-on with Git, Maven/Gradle, Jenkins, CI/CD.
• Knowledge of cloud platforms (AWS) is an added advantage.
• Experience with Agile/Scrum methodologies.

Manual QA Requirement: Manual QA Testers – Mobile Application Testing 2–3 Manual QA Testers to support an ongoing mobile application project. Key Requirements: ● 3–5 years of experience in software testing, with a strong focus on mobile application testing (mandatory). ● Hands-on experience testing applications built on React Native. ● Basic understanding of Java-based microservices on the backend. ● Working knowledge of Detox (React Native testing framework) is preferred. ● Good to have: ○ Exposure to fintech, particularly with an understanding of trading or investment platforms. ○ Experience with Playwright (not mandatory). 

Job Description below:

Software Engineer-Java

• Experience in Core Java 5.0 and above, Data Structures, OOPS, Multithreading, Algorithms, Collections, Unix/Linux
• 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 client-facing applications.
• Good development experience with RDBMS
• Good knowledge of multi-threading and high-volume server-side development
• Basic working knowledge of Unix/Linux
• Excellent problem solving and coding skills in Java
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Job Brief-

·       Understand product requirements and come up with solution approaches

·       Build and enhance large scale domain centric applications

·       Deploy high quality deliverables into production adhering to the security, compliance and SDLC guidelines

Proficient in React, JavaScript (ES6+), and TypeScript. ● Expertise in state management libraries (Redux, Zustand, etc.). ● Hands-on experience with react-navigation and deep linking. ● Solid understanding of Expo (both managed and bare workflows). ● Knowledge of native development (Swift/Objective-C for iOS, Java/Kotlin for Android). ● Experience with custom native module bridging and native UI integration. ● Strong debugging skills using tools like Flipper and Chrome DevTools. ● Familiarity with Jest, React Native Testing Library. ● Experience with REST APIs, GraphQL, and real-time data (WebSockets). ● Ability to manage OTA updates with EAS Update and configure EAS Build. ● Experience in app publishing and release lifecycle on both Play Store and App Store. ● Knowledge of secure storage, token handling, and app-level security practices.

Role: Azure Fabric Data Engineer

Experience: 5–10 Years

Location: Pune/Bangalore

Employment Type: Full-Time

About the Role

We are looking for an experienced Azure Data Engineer with strong expertise in Microsoft Fabric and Power BI to build scalable data pipelines, Lakehouse architectures, and enterprise analytics solutions on the Azure cloud.

Key Responsibilities

• Design & build data pipelines using Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks).
• Develop and optimize Lakehouse / Data Lake / Delta Lake architectures.
• Build ETL/ELT workflows using Fabric, Azure Data Factory, or Synapse.
• Create and optimize Power BI datasets, data models, and DAX calculations.
• Implement semantic models, incremental refresh, and Direct Lake/DirectQuery.
• Work with Azure services: ADLS Gen2, Azure SQL, Synapse, Event Hub, Functions, Databricks.
• Build dimensional models (Star/Snowflake) and support BI teams.
• Ensure data governance & security using Purview, RBAC, and AAD.

Required Skills

• Strong hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Dataflows, Notebooks).
• Expertise in Power BI (DAX, modeling, Dataflows, optimized datasets).
• Deep knowledge of Azure Data Engineering stack (ADF, ADLS, Synapse, SQL).
• Strong SQL, Python/PySpark skills.
• Experience in Delta Lake, Medallion architecture, and data quality frameworks.

Nice to Have

• Azure Certifications (DP-203, PL-300, Fabric Analytics Engineer).
• Experience with CI/CD (Azure DevOps/GitHub).
• Databricks experience (preferred).

Note: One Technical round is mandatory to be taken F2F from either Pune or Bangalore office

JD : 

Scope of Responsibilities

• Communicate with data providers to source appropriate data content and formats within required timelines.
• Evaluate completeness and accuracy of input data, working closely with internal teams and hedge fund managers.
• Reconcile input data with other data points, clear exceptions/rejects, and perform mapping/modeling of positions.
• Collaborate closely with team members across locations, particularly Mumbai.
• Report progress, metrics, and queue status to management.
• Maintain relationships with fund administrators and hedge funds.
• Support expansion of hedge fund coverage within the transparency business.
• Handle ad-hoc analytical or operational requests as required.

Required Skills and Knowledge

• Strong attention to detail, organization, and adherence to deadlines.
• Effective problem-solving and collaboration skills.
• Financial background with understanding of derivatives, global markets, investment instruments, and risk management.
• High proficiency in Microsoft Excel.
• Experience working with large datasets or market data systems is preferred.
• Derivatives knowledge is a must.

Desired Experience and Qualifications

• 2–3 years of relevant experience; internships in financial investment or data-management roles are a plus.
• Bachelor’s degree in Economics, Business, or Finance.
• Strong English communication skills (verbal and written).
• General knowledge of stocks, bonds, futures, forwards, and options.
• CFA candidacy preferred.
•  

SKILLS:

1.  Derivatives
2. global markets, investment instruments, and risk management.
3. Data analysis using excel
4. Portfolio Risk analysis & reporting
5. Market data system 
6. Hedge Fund
7. Reconciliation

Role Overview

We are looking for a Linux Engineer with strong expertise in Red Hat Enterprise Linux (RHEL) and Identity Management (IdM) to manage centralized authentication, access control, directory services, and secure identity operations across Linux systems.

Key Responsibilities

• Install, configure, and maintain Red Hat Identity Management (IdM) / FreeIPA.
• Manage identity lifecycle: users, groups, roles, sudo rules, HBAC policies.
• Configure and troubleshoot SSSD, LDAP, Kerberos, and PAM authentication.
• Integrate Linux servers with Active Directory using trusts or SSSD.
• Manage DNS, certificates (Dogtag CA), and multi-master replication within IdM.
• Join and enroll Linux hosts into the IdM domain.
• Automate identity operations using Ansible and shell scripting.
• Troubleshoot authentication/login issues across servers and applications.
• Work closely with security and platform teams to enforce IAM/IAP policies.

Required Skills

• Strong RHEL/Linux administration skills.
• Hands-on experience with RedHat IdM / FreeIPA.
• Deep understanding of LDAP, Kerberos, SSSD, DNS, and PKI.
• Experience integrating Linux with AD.
• Shell scripting; Ansible automation experience.

Good to Have

• Exposure to Okta, Azure AD, Keycloak, or other IAM platforms.
• Cloud (AWS/Azure/GCP) experience.
• Security hardening knowledge.

Note: One technical round is mandatory to be taken either from Baner, Pune or Bellandur, Bangalore office.

Job Description: Python Engineer

Role Summary

We are looking for a talented Python Engineer to design, develop, and maintain high-quality backend applications and automation solutions. The ideal candidate should have strong programming skills, familiarity with modern development practices, and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities:

Python Development & Automation

• Design, develop, and maintain Python scripts, tools, and automation frameworks.
• Build automation for operational tasks such as deployment, monitoring, system checks, and maintenance.
• Write clean, modular, and well-documented Python code following best practices.
• Develop APIs, CLI tools, or microservices when required.

Linux Systems Engineering

• Manage, configure, and troubleshoot Linux environments (RHEL, CentOS, Ubuntu).
• Perform system performance tuning, log analysis, and root-cause diagnostics.
• Work with system services, processes, networking, file systems, and security controls.
• Implement shell scripting (bash) alongside Python for system-level automation.

CI/CD & Infrastructure Support

• Support integration of Python automation into CI/CD pipelines (Jenkins).
• Participate in build and release processes for infrastructure components.
• Ensure automation aligns with established infrastructure standards and governance.
• Use Bash scripting together with Python to improve automation efficiency.

Cloud & DevOps Collaboration (if applicable)

• Collaborate with Cloud/DevOps engineers on automation for AWS or other cloud platforms.
• Integrate Python tools with configuration management tools such as Chef or Ansible, or with Terraform modules.
• Contribute to containerization efforts (Docker, Kubernetes) leveraging Python automation.

Role: Mid–Senior Cloud Infrastructure Engineer

Type: Individual Contributor

Location: Baner, Pune

Experience: 4–9 years

About the Role

We are establishing a Mid–Senior Cloud Infrastructure Engineer CoE with a focus on cloud-native automation. As a Cloud Infrastructure Engineer, you will design, automate, and maintain AWS infrastructure using Terraform following IaC and platform engineering best practices.

Key Responsibilities

• Build, automate, and maintain AWS infrastructure using Terraform (remote state, modules, pipelines).
• Design secure, scalable AWS environments (VPC, EC2, IAM, ALB/NLB, S3, RDS, Lambda, ECS/EKS preferred).
• Create reusable Terraform modules for platform-wide standardization.
• Automate provisioning workflows for Linux and Windows environments.
• Integrate IaC into CI/CD (Jenkins/GitHub Actions/GitLab).
• Manage environment lifecycle: dev → test → stage → prod.
• Implement cost optimization, tagging strategies, and operational guardrails.
• Maintain infrastructure documentation and reusable patterns.
• Troubleshoot cloud deployments, networking, IAM policies, and automation issues.

Required Skills

• Strong hands-on experience with AWS services.
• Solid expertise with Terraform (workspaces, state mgmt, modules, CI/CD integration).
• Understanding of multi-tier architectures, networking, security groups, IAM.
• Familiarity with Linux/Windows system administration.
• Knowledge of scripting (Python/Bash/PowerShell).

Good to Have

• AWS Certified (SA / SysOps / DevOps — not mandatory).
• Experience with container orchestration (ECS/EKS).
• Experience with monitoring tools (CloudWatch, Grafana, Prometheus).

Soft Skills

• Strong analytical and troubleshooting capability.
• Ability to collaborate closely with DevOps/Platform teams.

NOTE: 2nd Technical round has to be taken F2F from Baner Office in Pune.

Experience- 6 to 8 years

Location- Bangalore

Job Description-

- Extensive experience with machine learning utilizing the latest analytical models in Python. (i.e., experience in generating data-driven insights that play a key role in rapid decision-making and driving business outcomes.)

- Extensive experience using Tableau, table design, PowerApps, Power BI, Power Automate, and cloud environments, or equivalent experience designing/implementing data analysis pipelines and visualization.

- Extensive experience using AI agent platforms. (AI = data analysis: a required skill for data analysts.)

- A statistics major or equivalent understanding of statistical analysis results interpretation.