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GeoSpoc is looking for passionate backend developers who would like to solve complex business problems using location-aware data and cutting-edge tools and technologies such as microservices and cloud platforms such as AWS.
General skill
- A passionate developer with solid understanding of software basics
- Always willing to learn and explore upcoming technologies
- Pro-active, reliable and result oriented
- Someone who can continuously perform in a fast-paced environment
Key Skills Required
- Write effective, scalable code
- Develop back-end components to improve responsiveness and overall performance
- Integrate user-facing elements into applications
- Test and debug programs
- Improve functionality of existing systems
- Implement security and data protection solutions
- Assess and prioritize feature requests
- Coordinate with internal teams to understand user requirements and provide technical solutions
Skills and Experience
- Expertise in at least one popular Python framework (like Django, Flask or Pyramid)
- Knowledge of object-relational mapping (ORM)
- Familiarity with front-end technologies (like JavaScript and HTML5)
Responsibilities
- Writing and testing code, debugging programs and integrating applications with third-party web services
- Work closely with small teams of designers, frontend developers, GIS experts as well as business stakeholders
- Own the development lifecycle of backend systems from design to deployment
- Go above and beyond to deliver great quality software solutions on time
We are hiring for a Python Developer at Wissen Technology!
📍 Location: Pune (Hybrid)
💼 Experience: 3–6 Years
⏱️ Notice Period: Immediate / 15 days preferred
🔧 Key Skills:
• Strong experience in Python
• Hands-on with Pandas & NumPy
• Experience with AWS (S3, Lambda preferred)
• Good understanding of data processing & APIs
• SQL knowledge
🏢 About Wissen Technology:
Wissen Technology, part of the Wissen Group (est. 2000), is a fast-growing technology company specializing in high-end consulting across Banking, Finance, Telecom, and Healthcare domains.
✔️ Global presence – US, India, UK, Australia, Mexico & Canada
✔️ Certified Great Place to Work®
✔️ Trusted by Fortune 500 clients like Morgan Stanley, Goldman Sachs, and more
✔️ Strong growth with 400% revenue increase in recent years
🌐 Website: www.wissen.com
🔗 LinkedIn: https://www.linkedin.com/company/wissen-technology/
If you’re interested or have relevant candidates, please share your resume at [your email].
#Hiring #PythonDeveloper #PuneJobs #AWS #ImmediateJoiner
While you may already know about Wissen and the company history, here is a quick rundown for you.
About Wissen Technology:
· The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
· Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
· Our workforce has 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 has grown its revenues by 400% in these five years without any external funding or investments.
· Globally present with offices US, India, UK, Australia, Mexico, and Canada.
· We offer 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.
· Wissen Technology has been certified as a Great Place to Work®.
· Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
· Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
· We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.
De
Job Title: Application Development Engineer (Python – Backtesting & Index Platforms)
Role Overview
Key Responsibilities
Engine Development: Design and implement modular, reusable Python components for index construction, rebalancing, and backtesting.
Large-Scale Simulation: Use Pandas, NumPy, and PySpark to run historical calculations across long time horizons and multiple index variants.
Workflow Integration: Integrate engines with orchestrators such as Airflow or Temporal using parameterized, config-driven execution.
Reference Data Consumption: Query and utilize pricing, security master, and corporate action data from Snowflake.
Quality & Reconciliation: Build automated test harnesses to validate outputs, compare against benchmarks, and guarantee reproducibility.
Performance Optimization: Improve runtime efficiency through vectorization, caching, and distributed computing patterns.
Cross-Team Collaboration: Partner with Business, Index Ops, and Platform teams to accelerate research-to-production onboarding.
Required Technical Capabilities
Python Expertise: Strong proficiency in Python application development with emphasis on clean architecture and maintainable design.
Data & Numerical Libraries: Deep experience with Pandas and NumPy; working knowledge of PySpark for distributed workloads.
Financial Computation: Ability to implement portfolio mathematics, weighting algorithms, and time-series transformations.
Config-Driven Systems: Experience building rule-based or metadata-driven processing frameworks.
Database Skills: Strong SQL and experience consuming structured data from Snowflake.
Testing Discipline: Expertise in unit testing, regression testing, and deterministic replay of calculations.
Orchestration Integration: Familiarity with Airflow, Temporal, or similar workflow engines.
Cloud Infrastructure: Solid understanding of AWS ecosystem services (S3, Lambda, IAM) and how they integrate with the Snowflake Data Cloud.
Job Title : Senior Backend Engineer – Java, AI & Automation
Experience : 4+ Years
Location : Any Cognizant location (India)
Work Mode : Hybrid
Interview Rounds :
- Virtual
- Face-to-Face (In-person)
Job Description :
Join our Backend Engineering team to design and maintain services on the Intuit Data Exchange (IDX) platform.
You'll work on scalable backend systems powering millions of daily transactions across Intuit products.
Key Qualifications :
- 4+ years of backend development experience.
- Strong in Java, Spring framework.
- Experience with microservices, databases, and web applications.
- Proficient in AWS and cloud-based systems.
- Exposure to AI and automation tools (Workato preferred).
- Python development experience.
- Strong communication skills.
- Comfortable with occasional US shift overlap.
Experience: 6+ Years
Location: Chennai & Pune
Work Model: Hybrid
Notice Period: Immediate Joiners Preferred
Role Overview
We are looking for a highly skilled Senior Python Engineer to design, develop, and scale robust backend systems and data-driven applications. The ideal candidate should have strong problem-solving skills, experience with modern Python frameworks, and exposure to cloud and emerging technologies like Generative AI and LLMs.
Key Responsibilities
- Design, develop, and maintain scalable applications using Python
- Build and optimize RESTful APIs using Flask or FastAPI
- Work on data manipulation, processing, and transformation using Python libraries
- Collaborate with cross-functional teams to define and deliver high-quality solutions
- Develop efficient, reusable, and reliable code with strong attention to performance
- Implement containerization and orchestration using Docker and Kubernetes
- Ensure application security, data protection, and compliance best practices
- Manage code versioning using Git and follow CI/CD best practices
- Contribute to cloud-based deployments and infrastructure
- Explore and implement solutions using Generative AI and Large Language Models (LLMs)
Required Skills & Qualifications
- 6+ years of hands-on experience in Python development
- Strong understanding of Python fundamentals and problem-solving skills
- Experience with data manipulation libraries (e.g., Pandas, NumPy)
- Expertise in building REST APIs using Flask or FastAPI
- Solid understanding of ORM frameworks (e.g., SQLAlchemy, Django ORM)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Hands-on experience with Docker and Kubernetes
- Strong knowledge of application security principles
- Proficiency in Git and version control practices
- Exposure to Generative AI concepts and working with LLMs
About the Role
We are looking for a strong software engineer who actively uses AI to build better software faster. This is a backend-heavy engineering role where LLMs and AI systems are integrated into real production applications.
You will design, build, deploy, and maintain AI-enabled systems, while maintaining strong engineering discipline and code quality.
Key Responsibilities
- Architect and build scalable backend systems (Python / FastAPI preferred)
- Integrate LLM APIs, RAG pipelines, and AI workflows into production applications
- Deploy and maintain containerized applications on AWS/Azure
- Use AI coding assistants and agents to accelerate development, without compromising code quality
- Convert ambiguous requirements into production-ready systems
Must-Have Skills
- 7+ years of professional software engineering experience
- Strong Python backend experience
- Experience building REST APIs and production systems
- Solid understanding of system design and clean architecture
- Hands-on experience with Docker and Linux
- Experience deploying to AWS or Azure
- Experience integrating LLM APIs into applications
- Experience with embeddings / vector databases / RAG pipelines
- Strong Git and collaborative development workflows
- Ability to operate independently in ambiguous environments
Most importantly:
- Strong engineering fundamentals
- High ownership mindset
- Comfort using AI tools to move fast
- Discipline to maintain structure and quality
Good-to-Have
- Experience with real-time streaming or WebSockets
- Kubernetes deployment experience
- Experience in a fast-paced startup or consulting environment
- Familiarity with agent frameworks or voice/multimodal systems
Screening Requirement
Please include:
- A portfolio of systems you’ve built (especially AI-enabled systems), and
- A short note explaining how you use AI tools in your development workflow.
We are specifically looking for engineers who lean into AI agents and coding assistants, but still understand architecture, performance, and clean code.
Required Qualifications:
- 5+ years of professional software development experience.
- Post-secondary degree in computer science, software engineering or related discipline, or equivalent working experience.
- Development of distributed applications with Microsoft technologies: C# .NET/Core, SQL Server, Entity Framework.
- Deep expertise with microservices architectures and design patterns.
- Cloud Native AWS experience with services such as Lambda, SQS, RDS/Aurora, S3, Lex, and Polly.
- Mastery of both Windows and Linux environments and their use in the development and management of complex distributed systems architectures.
- Git source code repository and continuous integration tools.
Profile: AWS Data Engineer
Mode- Hybrid
Experience- 5+7 years
Locations - Bengaluru, Pune, Chennai, Mumbai, Gurugram
Roles and Responsibilities
- Design and maintain ETL pipelines using AWS Glue and Python/PySpark
- Optimize SQL queries for Redshift and Athena
- Develop Lambda functions for serverless data processing
- Configure AWS DMS for database migration and replication
- Implement infrastructure as code with CloudFormation
- Build optimized data models for performance
- Manage RDS databases and AWS service integrations
- Troubleshoot and improve data processing efficiency
- Gather requirements from business stakeholders
- Implement data quality checks and validation
- Document data pipelines and architecture
- Monitor workflows and implement alerting
- Keep current with AWS services and best practices
Required Technical Expertise:
- Python/PySpark for data processing
- AWS Glue for ETL operations
- Redshift and Athena for data querying
- AWS Lambda and serverless architecture
- AWS DMS and RDS management
- CloudFormation for infrastructure
- SQL optimization and performance tuning
Role- Software Development Engineer-2
As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.
Top Skills
You write high quality, maintainable, and robust code, often in Java or C++ or C#
You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
Roles & Responsibilities
You solve problems at their root, stepping back to understand the broader context.
You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
You recognize and use design patterns to solve business problems.
You understand how operating systems work, perform and scale.
You continually align your work with Amazon’s business objectives and seek to deliver business value.
You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
You communicate clearly with your team and with other groups and listen effectively.
Skills & Experience
Bachelors or Masters in Computer Science or relevant technical field.
Experience in software development and full product life-cycle.
Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
Proficiency in SQL and data modeling.








