11+ SQLAlchemy Jobs in Pune | SQLAlchemy Job openings in Pune

• 4–7 years of professional C++ experience in performance-critical systems
• Expert knowledge of modern C++ (C++11/14/17)
• Strong understanding of data structures, algorithms, and memory models
• Deep experience with multithreading, atomics, lock-free programming, and CPU cache behaviour
• Excellent knowledge of Linux internals and system-level programming
• Experience with low-level debugging and profiling (gdb, perf, valgrind, flamegraphs)
• Proficiency with CMake/Make and Git

2. Trading Systems Experience (Highly Preferred)

• Hands-on experience with order management systems (OMS) and execution engines
• Knowledge of exchange protocols: FIX, ITCH, OUCH, FAST
• Experience handling market data feeds (L1/L2, multicast, UDP)
• Understanding of latency measurement, clock synchronization, and time stamping
• Experience with network tuning (kernel bypass, socket tuning, CPU pinning)
• Familiarity with trading lifecycle, risk checks, and throttling mechanisms

3. Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline

4. Soft Skills (Important for Trading Firms)

• Ability to work under extreme time and accuracy pressure
• Strong ownership of production systems
• Clear and direct communication with traders and quants
• Bias toward simple, fast, and reliable designs

5. Key Responsibilities

• Design, develop, and optimize ultra-low-latency C++ trading applications
• Build and maintain exchange connectivity and order execution systems
• Develop real-time market data pipelines with strict latency requirements
• Optimize systems at CPU, memory, and network levels
• Implement lock-free or low-lock concurrent designs
• Analyze latency using profiling tools and improve tail latency
• Ensure high availability, fault tolerance, and rapid recovery
• Work closely with Traders and Quant Researchers to implement strategies
• Participate in architecture and performance design reviews
• Review code, enforce best practices, and mentor junior engineers
• Support production systems and handle time-critical issues when needed

Agent Application Engineer (Backend / Agentic AI) — Level 1

About Sentiaflow

Sentiaflow is an AI engineering and IT services company that designs and delivers production-grade agentic AI systems. We work at the point where large language models meet real business operations: data, APIs, permissions, workflow state, human decisions, security, evaluation, and measurable outcomes.

Our initial domain focus is healthcare, particularly clinical trials and related operational workflows. These are environments where an impressive demo is not enough. A system must be dependable, traceable, appropriately controlled, and clear about when a human must make the decision.

We are building a specialised engineering organisation across three disciplines:

• Agent Application Engineering
• Agent Platform & Evaluation Engineering
• Applied AI & Model Engineering

The Role

We are hiring strong backend or application engineers who want to specialise in building agentic AI applications. You do not need to arrive with several years of "agent engineer" experience. We are more interested in whether you have built real software, understand how production systems fail, and can learn to use models inside controlled business workflows.

As a Level 1 Agent Application Engineer, you will implement bounded parts of a production workflow under the guidance of an Agent Captain or senior engineer. Your work will connect models to application services, tools, data sources, and human approval points. You will be expected to make every important step observable, testable, and recoverable.

This is not a prompt-writing position, and it is not a generic chatbot role. It is an application engineering role for systems in which some decisions are probabilistic, while the surrounding controls must remain deterministic.

What You Will Work On

The specific client problem will vary, but typical work may include:

• Converting a clinical-operations signal into a bounded workflow that gathers evidence, analyses likely causes, presents options, and routes a recommendation to an authorised person.
• Building services that extract or structure information from trial documents and pass the result through validation and human review.
• Integrating agent workflows with internal APIs, databases, document systems, notification services, and client platforms.
• Implementing workflow state, recovery behaviour, approval gates, permissions, traceability, and scenario-based evaluations.

The work concerns operational decision support and workflow execution. It does not delegate clinical judgment or patient-care decisions to an autonomous model.

What You Will Be Responsible For

• Translate a clearly scoped business workflow into typed inputs, outputs, states, actions, and escalation paths.
• Build reliable application services and tool integrations using Node.js/TypeScript or Python.
• Use an LLM only where model judgment adds value; implement rules, validation, authorisation, and workflow control in deterministic code.
• Design structured model outputs and validate them before they can affect downstream systems.
• Handle partial data, unavailable tools, duplicate events, retries, time-outs, rate limits, and other normal production failure modes.
• Add logging, traces, metrics, and decision records that make the workflow diagnosable.
• Create tests and evaluation cases that measure whether the complete workflow behaves correctly—not merely whether an answer sounds fluent.
• Protect sensitive information and participate in code, design, failure-analysis, and release-readiness reviews.
• Explain your implementation and its trade-offs clearly to engineers, delivery leads, and client stakeholders.

At Level 1, you will not be expected to define the entire client architecture alone. You will be expected to own your assigned module, ask precise questions, surface risks early, and bring it to a production-ready standard with senior review.

What We Are Looking For

Essential Experience

• Approximately 3–6 years of hands-on backend or application engineering experience.
• Evidence that you have built or materially owned production APIs, services, data flows, integrations, or workflow-heavy applications.
• Strong programming ability in JavaScript/TypeScript, Python, Java, C#, Go, or a comparable backend language. Our preference is Node.js/TypeScript, but engineering depth matters more than language loyalty.
• Practical understanding of API design, databases, asynchronous processing, authentication and authorisation, testing, and deployment.
• Ability to reason clearly about state, retries, idempotency, concurrency, permissions, audit trails, and failure recovery.
• Experience debugging real production behaviour rather than only building greenfield demonstrations.
• Clear written and verbal communication, including the ability to explain technical trade-offs without hiding behind framework terminology.

Useful, but Not Mandatory

• Experience integrating LLM or machine-learning capabilities into an application.
• Experience with event-driven systems, state machines, workflow engines, observability, evaluation harnesses, or production incident analysis.
• Experience in healthcare, life sciences, clinical trials, or another regulated or audit-sensitive environment.

Healthcare or clinical-trials experience is preferred, not required at Level 1. We would rather hire a strong production engineer who can learn the domain than a candidate who knows the vocabulary but cannot build dependable systems.

What Does Not Qualify by Itself

Any of the following may be useful experience, but none is sufficient on its own:

• A chatbot or "chat with your documents" application.
• A RAG demonstration built primarily by connecting frameworks.
• A list of AI tools, model names, courses, certificates, or prompt-engineering techniques.
• An application that works in a demo but has no clear handling of permissions, failures, evaluation, or production operations.

How We Will Assess Fit

Our evaluation is designed to identify engineering judgment without asking you to build unpaid project work. We will focus on:

• A structured discussion of a production system you have worked on.
• Questions grounded in your own CV and claimed experience.
• A realistic workflow scenario covering system boundaries, evidence, controls, failure modes, and testing.
• Backend fundamentals and how you would apply them to an AI-enabled workflow.

You are NOT expected to have built a clinical-trials agent before applying.

What Success Looks Like

Within your first six months, you should be able to:

• Implement a bounded agent-workflow module from an agreed design and take responsibility for its quality.
• Integrate models and tools without allowing probabilistic output to bypass deterministic controls.
• Produce traces, tests, and evaluation evidence that support a release decision.
• Diagnose failures across application, tool, data, and model boundaries with progressively less supervision.
• Explain the workflow to a client or domain stakeholder in clear operational language.

Consistent performance at this level creates a path towards Level 2 — Independent Delivery Engineer, where you own a production workflow end to end, including discovery, architecture, integrations, evaluation, failure handling, and release readiness.

Why You Should Join Us

• Build the real systems behind agentic AI. You will work beyond demos and wrappers on the engineering problems that determine whether an AI workflow can operate in production.
• Develop a scarce, durable specialisation. Sentiaflow offers a defined progression across application engineering, platform and evaluation, and applied AI—not a vague instruction to "learn AI."
• Work on consequential operational problems. Clinical-trials workflows demand evidence, traceability, human accountability, and reliable execution.
• Learn through delivery with experienced review. You will own meaningful engineering work while receiving architectural and domain guidance appropriate to your level.
• Influence how the discipline is built. We are at an early stage, so strong engineers will help shape our methods, reusable assets, quality standards, and engineering culture.

Minimum requirements

5+ years of industry software engineering experience (does not include internships nor includes co-ops)

Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)

Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success

Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

Experience with large-scale financial tracking systems

Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.)

Must have exp in Django. [ Mandatory]

• The ability to problem-solve and critically think.
• High level of knowledge of Python and the Django framework.
• Familiarity with event driven programming as well as the MVC.
• Good understanding of SQL databases.
• Good understanding of REST APIs.

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

7+ years of experience in Python Development

Good experience in Microservices and APIs development.

Must have exposure to large scale data

Good to have Gen AI experience

Code versioning and collaboration. (Git)

Knowledge for Libraries for extracting data from websites.

Knowledge of SQL and NoSQL databases

Familiarity with RESTful APIs

Familiarity with Cloud (Azure /AWS) technologies

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 consists of 550+ 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, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Website : www.wissen.com

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.

About Gyaan:

Gyaan empowers Go-To-Market teams to ascend to new heights in their sales performance, unlocking boundless opportunities for growth. We're passionate about helping sales teams excel beyond expectations. Our pride lies in assembling an unparalleled team and crafting a crucial solution that becomes an indispensable tool for our users. With Gyaan, sales excellence becomes an attainable reality.

About the Job:

Gyaan is seeking an experienced backend developer with expertise in Python, Django, AWS, and Redis to join our dynamic team! As a backend developer, you will be responsible for building responsive and scalable applications using Python, Django, and associated technologies.

Required Qualifications:

• 2+ years of hands-on experience programming in Python, Django
• Good understanding of CI/CD tools (Github Action, Gitlab CI) in a SaaS environment.
• Experience in building and running modern full-stack cloud applications using public cloud technologies such as AWS/
• Proficiency with at least one relational database system like MySQL, Oracle, or PostgreSQL.
• Experience with unit and integration testing.
• Effective communication skills, both written and verbal, to convey complex problems across different levels of the organization and to customers.
• Familiarity with Agile methodologies, software design lifecycle, and design patterns.
• Detail-oriented mindset to identify and rectify errors in code or product development workflow.
• Willingness to learn new technologies and concepts quickly, as the "cloud-native" field evolves rapidly.

Must Have Skills:

• Python
• Django Framework
• AWS
• Redis
• Database Management

Qualifications:

• Bachelor’s degree in Computer Science or equivalent experience.

If you are passionate about solving problems and have the required qualifications, we want to hear from you! You must be an excellent verbal and written communicator, enjoy collaborating with others, and welcome discussing a plan upfront. We offer a competitive salary, flexible work hours, and a dynamic work environment.

Must have,

- Fundamental of Python(Data types in python, scope of variable, asynchronous programming)
- Should be able to code in Python

- Basic Understanding of Database

- API designing

- Problem Solving skills

- Fundamentals of storage, caching

Good to have,

- AWS Knowledge,

- Python Framework(Django, Flask)

- Knowledge on Message Broker, Caching

- SQL and no-SQL database

You need to write scalable Python code for developing and implementing robust applications. You would indulge your dedication and passion to build server-side logic ensuring low-latency and high end performance. You should have sound knowledge of Python frameworks such as Django and Flask.

YOUR ‘OKR’ SUMMARY

OKR means Objective and Key Results.

As a Software Engineer at Coredge, you will help develop our next-generation cloud native core solution along with the product and the open-source community to build the Coredge.io vision.

What you will do?

• System engineering and implementation in Python and Golang.

• Working on performance issues using creative experiments and internally developed product features.

• Research, propose, and integrate relevant open-source projects based on product objectives.

• Write organized, efficient, and well documented Python/Golang code as an example for junior engineers.

• Participation in all levels of product definition, design, implementation, testing, and deployment.

• Must include the ability to discuss abstract system architectures from ideas through implementation and

           creatively apply domain experience to solve technical challenges.

• Mentoring software engineers, fostering an environment of trust and accountability.

What you will need?

A strong sense of ownership, urgency, and drive. As an integral part of the development team, you will need the

following skills to succeed.

• Strong Python skills to develop framework(s).

• Hands-on to design & develop re-usable framework components.

• Hands-On experience on developing framework, designing re-usable framework components.

• Experience in engineering practices such as code refactoring, design patterns, design driven development, Continuous Integration, building highly scalable applications, application security and functional programming.

Additional Skills:

• Knowledge of Cloud native would be an advantage.

• Understanding of Kubernetes from Architecture side and also understand the Standard API.

• Code contributed to CNCF or similar community will be plus.

• Performance benchmarking of K8’s or any cloud will be added advantage