Software Developer - Ruby on Rails

Position Responsibilities :

The Database Architect is responsible for the design, optimization, and evolution of the database layer supporting enterprise applications in cloud environments. This role focuses on ensuring efficient data access patterns, scalable query workloads, and robust database architecture capable of supporting high-volume and high-concurrency systems.

This role goes beyond traditional database administration and requires deep technical expertise in SQL query optimization, database internals, and performance diagnostics. The Database Architect analyzes how applications interact with the database and guides improvements in schema design, data access patterns, and system scalability.

As a senior technical leader, the Database Architect helps define long-term strategies for scalable and efficient data architecture while working closely with engineering teams to promote best practices for database design and SQL development.

KEY RESPONSIBILITIES

Database Architecture & Optimization

• Design and evolve database architectures for scalable enterprise systems.
• Define efficient data access patterns that support high concurrency and large datasets.
• Improve schema design, indexing strategies, and query patterns.
• Ensure database designs support both transactional and data consumption workloads.

SQL Performance Engineering

• Analyze and optimize complex SQL queries and execution plans.
• Improve database performance through indexing strategies, statistics management, and query tuning.
• Investigate workload behaviour and recommend architectural improvements.

Data Access & Systems Thinking

• Provide guidance on scalable approaches for retrieving and delivering data for data-intensive application features.
• Recommend architectural strategies such as data aggregation, caching, or pre-computed datasets where appropriate.
• Apply systems thinking to improve how data is modeled, accessed, and delivered across the application.

Advanced Diagnostics

• Diagnose database behaviour using tools such as Query Store, Extended Events, and execution plan analysis.
• Analyze query performance, wait statistics, and workload patterns to identify optimization opportunities.

Collaboration & Technical Leadership

• Partner with engineering teams to guide scalable SQL development and data access practices.
• Participate in architecture and design discussions involving database interactions.
• Document best practices and architectural recommendations.

AI-Assisted Engineering

• Use AI-assisted tools to accelerate query analysis, diagnostics, and workload investigations.
• Validate AI-generated insights through empirical testing and database telemetry.

Qualifications :

TECHNICAL SKILLS & EXPERTISE

Database & SQL Server (Required)

• Advanced SQL Server performance tuning, including query optimization, execution plan analysis, and index design
• Strong experience diagnosing and resolving deadlocks using Extended Events and deadlock graphs
• Deep understanding of locking, blocking, and transaction behaviour, including wait statistics and lock escalation
• Experience optimizing stored procedures, including mitigation of parameter sniffing and plan cache management
• Strong knowledge of indexing strategies, including covering indexes and filtered indexes
• Solid understanding of statistics, cardinality estimation, and query optimizer behaviour

Performance Analysis Tools (Required)

• Experience using SQL Server Profiler and Extended Events for workload diagnostics
• Advanced execution plan analysis using SSMS or Azure Data Studio
• Familiarity with SET STATISTICS IO/TIME for query performance evaluation
• Strong experience using Query Store to analyse query performance and plan behaviour
• Ability to diagnose issues through wait statistics and blocking chain analysis

Enterprise Application Data Architecture

• Strong understanding of database design within multi-tier enterprise applications
• Experience optimizing database workloads supporting high-concurrency systems and large datasets
• Understanding how application query patterns influence database performance
• Familiarity working with application platforms such as .NET, APIs, or modern web frameworks

Cloud & Enterprise Database Environments

• Experience working with cloud-hosted database environments
• Understanding of scalability considerations in enterprise systems
• Experience analyzing and optimizing database workloads in production environments

QUALIFICATIONS

• 8+ years of experience working with enterprise database systems
• Proven expertise in SQL performance tuning and database workload optimization
• Strong experience in analysing execution plans and database performance behaviour
• Experience collaborating with engineering teams on data architecture and query design
• Strong analytical and problem-solving skills

AI-FIRST MINDSET REQUIREMENT

We value engineers who view AI as a productivity multiplier. The ideal candidate actively leverages AI tools to accelerate diagnostics, analyze database workloads, and uncover optimization opportunities while applying strong engineering judgment to validate results

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

Job Title: Python Developer (Django / Databricks / Azure)

📍 Location: Bangalore

🕒 Experience: 3–8 Year

💼 Employment Type: FTE

🔹 Job Summary:

We are seeking a skilled Python Developer with strong experience in Django, Flask API development, Databricks, and Azure Cloud. The ideal candidate will be responsible for designing scalable backend systems, developing REST APIs, building data pipelines, and working with cloud-based data platforms.

🔹 Key Responsibilities:

✔ Develop and maintain web applications using Django framework

✔ Design and build RESTful APIs using Flask

✔ Develop and optimize data pipelines using Azure Databricks

✔ Integrate applications with Azure services (Blob, Data Factory, SQL, etc.)

✔ Write clean, scalable, and efficient Python code

✔ Collaborate with frontend, DevOps, and data engineering teams

✔ Perform code reviews and ensure best practices

✔ Troubleshoot, debug, and upgrade existing systems

🔹 Required Skills:

• Strong proficiency in Python programming
• Hands-on experience with Django framework
• Experience building Flask-based REST APIs
• Experience working with Azure Databricks
• Knowledge of Azure Cloud services
• Experience with SQL / NoSQL databases
• Understanding of CI/CD and Git workflows

🔹 Good to Have:

• Experience with PySpark
• Knowledge of microservices architecture
• Docker / Kubernetes exposure
• Experience in data engineering projects

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

Required Skills:

• 2+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

 JD / Skills Sets

1. Good knowledge on Python

2. Good knowledge on My-Sql, mongodb 

3. Design Pattern

4. OOPs

5. Automation

6. Web scraping

7. Redis queue

8. Basic idea of Finance Domain will be beneficial.

9. Git10. AWS (EC2, RDS, S3)

• System engineering and implementation in 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.

• Strong Golang 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.

• 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.

• Deep understanding of technology and passionate about what you do.
• Background in designing high performant scalable software systems with strong focus to optimize hardware cost.
• Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment.
• Strong commitment to get the most performance out of a system being worked on.
• Prior development of a large software project using service-oriented architecture operating with real time constraints.

• You will get a chance to work on cloud-native and hyper-scale products
• You will be working with industry leaders in cloud.
• You can expect a steep learning curve.
• You will get the experience of solving real time problems, eventually you become a problem solver.

• Competitive Salary
• Health Insurance
• Open Learning - 100% Reimbursement for online technical courses.
• Fast Growth - opportunities to grow quickly and surely
• Creative Freedom + Flat hierarchy
• Sponsorship to all those employees who represent company in events and meet ups.
• Flexible working hours
• 5 days week
• Hybrid Working model (Office and WFH)

• Initial Resume screening call with our Recruiting team
• Next, candidates will be invited to solve coding exercises.
• Next, candidates will be invited for first technical interview
• Next, candidates will be invited for final technical interview
• Finally, candidates will be invited for Culture Plus interview with HR
• Candidates may be asked to interview with the Leadership team
• Successful candidates will subsequently be made an offer via email
• As always, the interviews and screening call will be conducted via a mix of telephonic and video call.

• Key areas of responsibilities:- 
• Maintenance and enhancements of current websites.
• System requirement gathering, development, testing and maintenance for new websites or applications.
• Managing user access to the various components of the company’s IT infrastructure based on an assessment of the user requirement and security.
• Managing the admin section for the company’s websites.
  Creating an environment for Dreamweaver editor for users to develop applications.
• Documentation Designing a database and coordinating the UI design.
• Integrating the MySQL database with the PHP applications.
  Maintaining web-based PHP applications.
• Designing and developing applications and websites.
  Resolving issues related to PHP development in different applications.
  
  
• Experience and skills required:- 
  
  Skills : PHP, Mysql, MVC, JS, JQUERY,HTML,CSS, AJAX , WORDPRESS.
  
  Experience : Min 3 year Qualification: Any technical background (MCA, BE, MSC Computer etc)

Azine Technologies is known for our innovative technologies, products and services -- and for the people behind them. At Azine, we create identity verification products which are essentially apps, APIs, SDKs which have different modules that undergo OCR, Face Recognition, and other AI and machine learning. We’re looking for a Python Developer who can fulfil the following responsibilities.

• Design & implement new software modules based on the product requirements
• Debug existing software components, fix issues and avoid regressions
• Be proactive, take ownership and be accountable
• Familiar with Test Drive Development.
• Participate in software architecture, design discussions and code reviews

Bachelor’s degree and 3+ years of software development experience or equivalent, including Computer Vision and AI/ML.

Understanding of OCR, Neural network and Deep learning.

Expert in Python with knowledge of Python Frameworks (such as Django, Flask, etc.).

Expert understanding of threading and limitations of Python, and multi-process architecture.

Knowledge of user authentication and authorization between multiple systems, servers, and environments.

Proficient understanding with code versioning tools such as Git, SVN, etc.

Strong unit test and debugging skills.

Basic understanding of front-end technologies, such as Javascript, HTML5, and CSS3.

Django, Flask, Neural networks, Deep Learning, Optical character recognition, Self-organizing maps, Artificial Intelligence (AI), Machine Learning (ML), Software architecture, Celery, Object-relational mapping, NOSQL Databases, MongoDB, Computer Vision, GANs,

We are offering amazing career growth opportunities, great compensation, and benefits. This begins with: weekly lunches, alternate weekends-off, annual medical checkups, social engagement, financial assistance and more.

Job Type: Full-time

Location: Iscon, Ahmedabad