Wissen Technology

Job Description below:

Required Skill Set

Senior 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

This role focused entirely on the manual implementation of changes within the Google Ads platform, based on detailed input provided by Client Business team. The ideal candidate thrives in an execution-focused role, ensuring accuracy and efficiency in translating strategic input into platform updates.

Job Description:

Key Responsibilities

The primary focus of this role is the accurate and timely execution of changes and reporting across multiple Google Ads accounts, specifically involving    

1. Execution of Campaign Strategies & Quality Assurance:
2. 
   

This involves the manual and precise implementation of all specified campaign levers based on provided input files, with a strict focus on accuracy:

o  Campaign Implementation: Manual execution and verification of changes related to campaign structure, assets, audience signals, search themes, location targets, bid adjustments, negative keywords, etc. based on detailed input files.

o  Conversion Tracking Implementation: Uploading Google Click IDs (GCLIDs) to the Google Ads platform for offline conversion tracking and measurement, ensuring correct mapping and adherence to privacy protocols.

o  Data Translation & Accuracy: Meticulously reviewing and translating inputs from Excel/Google Sheets into the live Google Ads UI, ensuring zero-error implementation.

o  Quality Assurance: Maintaining a comprehensive log of all executed changes for quality assurance and audit purposes.

     2.  Performance Tracking and Reporting:

 This involves the collection, processing, and presentation of campaign data to support business decisions:

o  Campaign Monitoring: Tracking overall campaign details, performance metrics, and budgets on a daily or weekly basis to ensure operational health.

o  Manual Report Creation: Creating and updating manual performance reports for dealers and internal stakeholders using Google Ads UI reports or internal databases using SQL, ensuring data accuracy and timely delivery.

Required Qualifications

o  Experience: Minimum of 1+ years of hands-on, practical experience exclusively executing changes within the Google Ads UI and Google Analytics/ Tags Manager across multiple accounts. 3 to 5 years of experience overall.

o  Platform Proficiency: Working knowledge of the Google Ads UI, including the ability to navigate complex account structures and features (specifically Performance Max campaigns).

o  Technical Data Expertise: Demonstrated ability to work with large data sets and perform manual data pulls using:

§ SQL (Expertise Required): Ability to execute queries for report generation and data verification.

§ Excel/Google Sheets: Advanced proficiency for data manipulation, cleaning, and presentation.

o  Attention to Detail: Exceptional focus on detail and accuracy is non-negotiable. Must be capable of translating detailed spreadsheet data into the live platform without errors.

o  Process Driven: Proven ability to follow standardized, step-by-step instructions and processes efficiently and consistently.

o  Communication: Clear written communication skills to report on task status and flag any discrepancies in input files. It will be a differentiator if they also add value by pushing and pulling using their existing knowledge and help in doing the right thing.

Preferred Qualifications

o  Prior experience working on high-volume, highly complex Google Ads accounts.

o  Understanding of the purpose behind the executed tasks (e.g., how negative keywords impact campaigns, the function of Audience Signals).

Job Description : 

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.

Job Description.

1.      Cloud experience (Any cloud is fine although AWS is preferred. If non-AWS cloud, then the experience should reflect familiarity with the cloud's common services)

2.      Good grasp of Scripting (in Linux for sure ie bash/sh/zsh etc, Windows : nice to have)

3.      Python or Java or JS basic knowledge (Python Preferred)

4.      Monitoring tools

5.      Alerting tools

6.      Logging tools

7.      CICD

8.      Docker/containers/(k8s/terraform nice to have)

9.      Experience working on distributed applications with multiple services

10.  Incident management

11.  DB experience in terms of basic queries

12.  Understanding of performance analysis of applications

13.  Idea about data pipelines would be nice to have

14.  Snowflake querying knowledge: nice to have

The person should be able to :

Monitor system issues

Create strategies to detect and address issues

Implement automated systems to troubleshoot and resolve issues.

Write and review post-mortems

Manage infrastructure for multiple product teams

Collaborate with product engineering teams to ensure best practices are being followed

Job Description.

1.      Cloud experience (Any cloud is fine although AWS is preferred. If non-AWS cloud, then the experience should reflect familiarity with the cloud's common services)

2.      Good grasp of Scripting (in Linux for sure ie bash/sh/zsh etc, Windows : nice to have)

3.      Python or Java or JS basic knowledge (Python Preferred)

4.      Monitoring tools

5.      Alerting tools

6.      Logging tools

7.      CICD

8.      Docker/containers/(k8s/terraform nice to have)

9.      Experience working on distributed applications with multiple services

10.  Incident management

11.  DB experience in terms of basic queries

12.  Understanding of performance analysis of applications

13.  Idea about data pipelines would be nice to have

14.  Snowflake querying knowledge: nice to have

The person should be able to :

Monitor system issues

Create strategies to detect and address issues

Implement automated systems to troubleshoot and resolve issues.

Write and review post-mortems

Manage infrastructure for multiple product teams

Collaborate with product engineering teams to ensure best practices are being followed.

🔧 Key Skills

• Strong expertise in Python (3.x)
• Experience with Django / Flask / FastAPI
• Good understanding of Microservices & RESTful API development
• Proficiency in MySQL/PostgreSQL – queries, stored procedures, optimization
• Solid grip on Data Structures & Algorithms (DSA)
• Comfortable working with Linux & Windows environments
• Hands-on experience with Git, CI/CD (Jenkins/GitHub Actions)
• Familiarity with Docker / Kubernetes is a plus

JD for Cloud engineer

Job Summary:

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

• Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
• Implement Google Cloud Storage, Cloud SQL, filestore,  for data storage and processing needs.
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
• Work with Helm charts for microservices deployments.
• Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

• Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
• Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure deployment using Terraform, Bash and Powershell scripting
• Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

Job Description-

Wissen Technology is seeking a detail-oriented and curious Data Analyst to support our global data initiatives. This role is ideal for someone who is passionate about turning data into insights and eager to grow in a fast-paced, security-focused environment. You will work closely with senior analysts and stakeholders to support reporting, dashboarding, and data quality efforts that enable operational excellence and informed decision-making.

Key Responsibilities:

· Assist in collecting, cleaning, and organizing data from various sources to support security operations and reporting.

· Build and maintain basic dashboards and reports using tools like Power BI or Tableau.

· Support data validation and quality checks to ensure accuracy and consistency.

· Collaborate with team members to understand data requirements and deliver actionable insights.

· Document data sources, definitions, and reporting processes.

· Help automate recurring reports and streamline manual data tasks.

· Participate in team meetings and contribute to discussions around data-driven improvements.

Qualifications:

· Bachelor’s degree in data science, Business Analytics, Computer Science, or a related field.

· 2–4 years of experience in data analysis, reporting, or business intelligence.

· Basic proficiency in SQL and data visualization tools (e.g., Power BI, Tableau).

· Strong attention to detail and a willingness to learn new tools and techniques.

· Good communication skills and ability to work in a collaborative team environment.

· Comfortable working with spreadsheets and structured data.

Preferred Skills & Tools:

· Experience with Excel, Google Sheets, and basic data manipulation.

· Exposure to Python or R for data analysis.

· Familiarity with cloud platforms (AWS, GCP, or Azure).

· Interest in security operations or risk-related data is a plus.

Key Competencies:

· Data Accuracy & Attention to Detail: Ensures high-quality outputs and reliable reporting.

· Curiosity & Learning Agility: Eager to explore data and learn new tools and methods.

· Communication: Able to explain findings clearly to non-technical stakeholders.

· Collaboration: Works well with cross-functional teams and takes feedback constructively.

· Ownership: Takes initiative on assigned tasks and follows through to completion.

Required Skills & Qualifications:

✔ Experience: 4+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

JOB DESCRIPTION:

Location: mumbai, bangalore, pune

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

Required Skills & Experience:

• 3– 8 years of strong hands-on experience in Core Java, Spring boot, microservices, data structures.
• Deep understanding of Object-Oriented Programming (OOP), data structures, algorithms, and design patterns.
• Proven experience with Spring, CXF, and REST/SOAP web services.
• Solid understanding of microservices architecture and distributed systems.
• Experience working with Sybase or other relational databases.
• Expertise in multithreading, concurrency, and high-throughput server-side development.
• Exposure to capital markets, sales & trading platforms, or similar financial services applications.
• Good working knowledge of Unix/Linux environments.
• Experience in solution architecture and design documentation is a strong plus.
• Strong problem-solving skills, analytical thinking, and a proactive attitude.
• Excellent communication and interpersonal skills to work effectively with global teams.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Previous experience in investment banking, capital markets, or financial technology domains.

For more details:

Website: www.wissen.com

Wissen Thought leadership : https://www.wissen.com/articles/

LinkedIn: Wissen Technology