50+ Python Jobs in Bangalore (Bengaluru) | Python Job openings in Bangalore (Bengaluru)

Role: Senior Software Engineer - Backend

Location: In-Office, Bangalore, Karnataka, India

Job Summary:

We are seeking a highly skilled and experienced Senior Backend Engineer with a minimum of 3 years of experience in product building to join our dynamic and innovative team. In this role, you will be responsible for designing, developing, and maintaining robust backend systems that power our applications. You will work closely with cross-functional teams to ensure seamless integration between frontend and backend components, leveraging your expertise to architect scalable, secure, and high-performance solutions. As a senior team member, you will mentor junior developers and lead technical initiatives to drive innovation and excellence.

Annual Compensation: 12-18 LPA

Responsibilities:

• Lead the design, development, and maintenance of scalable and efficient backend systems and APIs.
• Architect and implement complex backend solutions, ensuring high availability and performance.
• Collaborate with product managers, frontend developers, and other stakeholders to deliver comprehensive end-to-end solutions.
• Design and optimize data storage solutions using relational databases and NoSQL databases.
• Mentor and guide junior developers, fostering a culture of knowledge sharing and continuous improvement.
• Implement and enforce best practices for code quality, security, and performance optimization.
• Develop and maintain CI/CD pipelines to automate build, test, and deployment processes.
• Ensure comprehensive test coverage, including unit testing, and implement various testing methodologies and tools to validate application functionality.
• Utilize cloud services (e.g., AWS, Azure, GCP) for infrastructure deployment, management, and optimization.
• Conduct system design reviews and provide technical leadership in architectural discussions.
• Stay updated with industry trends and emerging technologies to drive innovation within the team.
• Implement secure authentication and authorization mechanisms and ensure data encryption for sensitive information.
• Design and develop event-driven applications utilizing serverless computing principles to enhance scalability and efficiency.

Requirements:

• Minimum of 3 years of proven experience as a Backend Engineer, with a strong portfolio of product-building projects.
• Strong proficiency in backend development using Java, Python, and JavaScript, with experience in building scalable and high-performance applications.
• Experience with popular backend frameworks and libraries for Java (e.g., Spring Boot) and Python (e.g., Django, Flask).
• Strong expertise in SQL and NoSQL databases (e.g., MySQL, MongoDB) with a focus on data modeling and scalability.
• Practical experience with caching mechanisms (e.g., Redis) to enhance application performance.
• Proficient in RESTful API design and development, with a strong understanding of API security best practices.
• In-depth knowledge of asynchronous programming and event-driven architecture.
• Familiarity with the entire web stack, including protocols, web server optimization techniques, and performance tuning.
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) is highly desirable.
• Proven experience working with cloud technologies (AWS/GCP/Azure) and understanding of cloud architecture principles.
• Strong understanding of fundamental design principles behind scalable applications and microservices architecture.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work collaboratively in a fast-paced, agile environment and lead projects to successful completion.

Senior Data Engineer

Location: Bangalore, Gurugram (Hybrid)

Experience: 4-8 Years

Type: Full Time | Permanent

Job Summary:

We are looking for a results-driven Senior Data Engineer to join our engineering team. The ideal candidate will have hands-on expertise in data pipeline development, cloud infrastructure, and BI support, with a strong command of modern data stacks. You’ll be responsible for building scalable ETL/ELT workflows, managing data lakes and marts, and enabling seamless data delivery to analytics and business intelligence teams.

This role requires deep technical know-how in PostgreSQL, Python scripting, Apache Airflow, AWS or other cloud environments, and a working knowledge of modern data and BI tools.

Key Responsibilities:

PostgreSQL & Data Modeling

· Design and optimize complex SQL queries, stored procedures, and indexes

· Perform performance tuning and query plan analysis

· Contribute to schema design and data normalization

Data Migration & Transformation

· Migrate data from multiple sources to cloud or ODS platforms

· Design schema mapping and implement transformation logic

· Ensure consistency, integrity, and accuracy in migrated data

Python Scripting for Data Engineering

· Build automation scripts for data ingestion, cleansing, and transformation

· Handle file formats (JSON, CSV, XML), REST APIs, cloud SDKs (e.g., Boto3)

· Maintain reusable script modules for operational pipelines

Data Orchestration with Apache Airflow

· Develop and manage DAGs for batch/stream workflows

· Implement retries, task dependencies, notifications, and failure handling

· Integrate Airflow with cloud services, data lakes, and data warehouses

Cloud Platforms (AWS / Azure / GCP)

· Manage data storage (S3, GCS, Blob), compute services, and data pipelines

· Set up permissions, IAM roles, encryption, and logging for security

· Monitor and optimize cost and performance of cloud-based data operations

Data Marts & Analytics Layer

· Design and manage data marts using dimensional models

· Build star/snowflake schemas to support BI and self-serve analytics

· Enable incremental load strategies and partitioning

Modern Data Stack Integration

· Work with tools like DBT, Fivetran, Redshift, Snowflake, BigQuery, or Kafka

· Support modular pipeline design and metadata-driven frameworks

· Ensure high availability and scalability of the stack

BI & Reporting Tools (Power BI / Superset / Supertech)

· Collaborate with BI teams to design datasets and optimize queries

· Support development of dashboards and reporting layers

· Manage access, data refreshes, and performance for BI tools

Required Skills & Qualifications:

· 4–6 years of hands-on experience in data engineering roles

· Strong SQL skills in PostgreSQL (tuning, complex joins, procedures)

· Advanced Python scripting skills for automation and ETL

· Proven experience with Apache Airflow (custom DAGs, error handling)

· Solid understanding of cloud architecture (especially AWS)

· Experience with data marts and dimensional data modeling

· Exposure to modern data stack tools (DBT, Kafka, Snowflake, etc.)

· Familiarity with BI tools like Power BI, Apache Superset, or Supertech BI

· Version control (Git) and CI/CD pipeline knowledge is a plus

· Excellent problem-solving and communication skills

Role - MLops Engineer

Location - Pune, Gurgaon, Noida, Bhopal, Bangalore 

Mode - Hybrid

Role Overview

We are looking for an experienced MLOps Engineer to join our growing AI/ML team. You will be responsible for automating, monitoring, and managing machine learning workflows and infrastructure in production environments. This role is key to ensuring our AI solutions are scalable, reliable, and continuously improving.

Key Responsibilities

• Design, build, and manage end-to-end ML pipelines, including model training, validation, deployment, and monitoring.
• Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into production systems.
• Develop and manage scalable infrastructure using AWS, particularly AWS Sagemaker.
• Automate ML workflows using CI/CD best practices and tools.
• Ensure model reproducibility, governance, and performance tracking.
• Monitor deployed models for data drift, model decay, and performance metrics.
• Implement robust versioning and model registry systems.
• Apply security, performance, and compliance best practices across ML systems.
• Contribute to documentation, knowledge sharing, and continuous improvement of our MLOps capabilities.

Required Skills & Qualifications

• 4+ years of experience in Software Engineering or MLOps, preferably in a production environment.
• Proven experience with AWS services, especially AWS Sagemaker for model development and deployment.
• Working knowledge of AWS DataZone (preferred).
• Strong programming skills in Python, with exposure to R, Scala, or Apache Spark.
• Experience with ML model lifecycle management, version control, containerization (Docker), and orchestration tools (e.g., Kubernetes).
• Familiarity with MLflow, Airflow, or similar pipeline/orchestration tools.
• Experience integrating ML systems into CI/CD workflows using tools like Jenkins, GitHub Actions, or AWS CodePipeline.
• Solid understanding of DevOps and cloud-native infrastructure practices.
• Excellent problem-solving skills and the ability to work collaboratively across teams.

Job Title : Senior Backend Engineer – Java, AI & Automation

Experience : 4+ Years

Location : Any Cognizant location (India)

Work Mode : Hybrid

Interview Rounds :

1. Virtual
2. 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.

Role: Python Full Stack Developer with React

Hybrid: 2 days in a week (Noida, Bangalore, Chennai, Hyderabad)

Experience: 5+ Years

Contract Duration: 6 Months

Notice0 less than 15 days

A BIT ABOUT US

Appknox is one of the top Mobile Application security companies recognized by Gartner and G2. A profitable B2B SaaS startup headquartered in Singapore & working from Bengaluru.

The primary goal of Appknox is to help businesses and mobile developers secure their mobile applications with a focus on delivery speed and high-quality security audits.

Our business includes Fortune 500 companies with Major brands spread across regions like India, South-East Asia, Middle-East, Japan, US, and expanding rapidly. 

The Opportunity:

We are seeking a highly skilled Senior Software Engineer (Backend) to join our dynamic software development team. In this role, you will contribute to key backend projects, collaborate across teams, and play a vital part in delivering robust, scalable, and high-performance software solutions. As a senior engineer, you will work independently, make impactful technical decisions, and help shape the backend architecture while collaborating with a passionate, high-performing team.

You will work hands-on with products primarily built in Python, with opportunities to contribute to Golang. These technologies are at the core of our development stack, and your focus will be on building, scaling, and maintaining distributed services. Distributed systems are integral to our architecture, providing a chance to gain hands-on experience with maintaining and optimizing them in a fast-paced environment.

As a Senior Engineer, you are expected to:

• Write clean, maintainable, and testable code while following best practices.
• Architect solutions, address complex problems, and deliver well-thought-out technical designs.
• Take ownership of assigned modules and features, delivering them with minimal supervision.
• Contribute to code reviews and technical discussions, ensuring high-quality deliverables.

We highly value open source contributions and encourage you to check out our work on GitHub at Appknox GitHub. While no prior experience in security is required, our experienced security professionals are available to support you in understanding the domain.

This role offers a unique opportunity to work on cutting-edge technology, drive impactful solutions, and grow within a collaborative environment that values autonomy, innovation, and technical excellence.

Responsibilities:

• Contribute to backend development for a cutting-edge product in the Security domain, with focus on performance, reliability, and maintainability.
• Implement software components and features based on high-level architectural guidance using Django and Django REST Framework (DRF).
• Collaborate with senior engineers to translate functional and technical requirements into robust backend implementations.
• Write clean, modular, and testable code following industry best practices and team standards.
• Participate in design discussions and code reviews to maintain code quality and continuously learn from peers.
• Work closely with frontend, QA, and security teams to deliver well-integrated, end-to-end solutions.
• Troubleshoot, debug, and resolve issues in existing systems, ensuring stability and efficiency.
• Contribute to the creation of technical documentation for components and modules you build or maintain.
• Follow defined verification plans and contribute to improving test coverage and automation.
• Participate in sprint planning, estimations, and agile ceremonies to support timely and effective project delivery.
• Proactively seek feedback and continuously improve your technical skills and understanding of system architecture.
• Support team success by collaborating effectively, sharing knowledge, and guiding junior team members when needed.

Requirements:

• Solid hands-on experience with Django and Django REST Framework 3-4 years
• Good understanding of relational databases, SQL, and working with ORMs such as Django ORM.
• Ability to contribute to design discussions and implement well-structured, maintainable backend systems.
• Exposure to writing unit and integration tests; familiarity with CI/CD pipelines and version control systems
• Proficiency in debugging, performance optimization, and addressing scalability concerns under guidance.
• Strong fundamentals in data structures, algorithms, and clean coding practices.
• Able to collaborate effectively within a team and take ownership of moderately complex modules.
• Good communication skills, with the ability to document and explain solutions to peers.
• Familiarity with cloud platforms and microservices architecture is a plus.
• Self-driven with a growth mindset and willingness to learn from peers and feedback.

Work Expectations:

Within 1 month-

• Attend KT sessions conducted by the engineering and product teams to gain a deep understanding of the product, its architecture, and workflows.
• Learn about the team's development processes, tools, and key challenges.
• Work closely with the product team to understand product requirements and contribute to the design and development of features.
• Dive deep into the existing backend architecture, including database structures, APIs, and integration points, to fully understand the technical landscape
• Begin addressing minor technical challenges and bugs, while understanding the underlying architecture and tech stack.
• Begin to participate in creating action plans for new features, ensuring that design and implementation are aligned with product goals.

Within 3 months-

• Achieve full autonomy in working on the codebase, demonstrating the ability to independently deliver high-quality features from design to deployment.
• Take complete ownership of critical modules, ensuring they are optimized for performance and maintainability.
• Act as a technical resource for the team, offering support and guidance to peers on complex issues.
• Collaborate with DevOps to optimize deployment pipelines, debug production issues, and improve backend infrastructure.
• Lead discussions for technical solutions and provide recommendations for architectural improvements.
• Contribute to the design of new features by translating functional requirements into detailed technical specifications.
• Prepare regular updates on assigned tasks and communicate effectively with the engineering manager and other stakeholders.

Within 6 months-

• Be fully independent in their development tasks, contributing to key features and solving critical challenges.
• Demonstrate strong problem-solving skills and the ability to take ownership of technical modules.
• Actively participate in code reviews and technical discussions, ensuring high-quality deliverables.
• Collaborate seamlessly with cross-functional teams to align technical solutions with business requirements.
• Establish themselves as a reliable and proactive team member, contributing to the team’s growth and success.

Personality traits we really admire:

• Great attitude to ask questions, learn and suggest process improvements.
• Has attention to details and helps identify edge cases.
• Proactive mindset. 
• Highly motivated and coming up with ideas and perspective to help us move towards our goals faster.
• Follows timelines and absolute commitment to deadlines.

Interview Process 

• Round 1 Interview - Profile Evaluation (EM)
• Round 2 Interview - Assignment Evaluation & Technical Problem Solving discussion (Tech Team)
• Round 4 Interview - Engineering Team & Technical Founder (CTO)
• Round 5 Interview - HR

Compensation

• Best in industry

We prefer that every employee also holds equity in the company. In this role, you will be awarded equity after 12 months, based on the impact you have created.

Please be aware that all your customers are Enterprises and Fortune 500 companies.

Why Join Us:

• Freedom & Responsibility: If you are a person who enjoys challenging work & pushing your boundaries, then this is the right place for you. We appreciate new ideas & ownership as well as flexibility with working hours.
• Great Salary & Equity: We keep up with the market standards & provide pay packages considering updated standards. Also as Appknox continues to grow, you’ll have a great opportunity to earn more & grow with us. Moreover, we also provide equity options for our top performers.
• Holistic Growth: We foster a culture of continuous learning and take a much more holistic approach to training and developing our assets: the employees. We shall also support you all on that journey of yours.
• Transparency: Being a part of a start-up is an amazing experience one of the reasons being the open communication & transparency at multiple levels. Working with Appknox will give you the opportunity to experience it all first hand.
• Health insurance: We offer health insurance coverage upto 5 Lacs for you and your family including parents.

As a Senior Backend & Infrastructure Engineer, you will take ownership of backend systems and cloud infrastructure. You’ll work closely with our CTO and cross-functional teams (hardware, AI, frontend) to design scalable, fault- tolerant architectures and ensure reliable deployment pipelines.

1. What You’ll Do :

• Backend Development: Maintain and evolve our Node.js (TypeScript) and Python backend services with a focus on performance and scalability.
• Cloud Infrastructure: Manage our infrastructure on GCP and Firebase (Auth, Firestore, Storage, Functions, AppEngine, PubSub, Cloud Tasks). 
• Database Management: Handle Firestore and other NoSQL DBs. Lead database schema design and migration strategies.
• Pipelines & Automation: Build robust real-time and batch data pipelines. Automate CI/CD and testing for backend and frontend services.
• Monitoring & Uptime: Deploy tools for observability (logging, alerts, debugging). Ensure 99.9% uptime of critical services.
• Dev Environments: Set up and manage developer and staging environments across teams.
• Quality & Security: Drive code reviews, implement backend best practices, and enforce security standards.
• Collaboration: Partner with other engineers (AI, frontend, hardware) to integrate backend capabilities seamlessly into our global system.

Must-Haves :

• 5+ years of experience in backend development and cloud infrastructure.
• Strong expertise in Node.js (TypeScript) and/or Python.
• Advanced skills in NoSQL databases (Firestore, MongoDB, DynamoDB...).
• Deep understanding of cloud platforms, preferably GCP and Firebase.
• Hands-on experience with CI/CD, DevOps tools, and automation.
• Solid knowledge of distributed systems and performance tuning.
• Experience setting up and managing development & staging environments. 

• Proficiency in English and remote communication.

Good to have :

• Event-driven architecture experience (e.g., Pub/Sub, MQTT).
• Familiarity with observability tools (Prometheus, Grafana, Google Monitoring).
• Previous work on large-scale SaaS products.
• Knowledge of telecommunication protocols (MQTT, WebSockets, SNMP).
• Experience with edge computing on Nvidia Jetson devices.

What We Offer :

• Competitive salary for the Indian market (depending on experience).
• Remote-first culture with async-friendly communication.
• Autonomy and responsibility from day one.
• A modern stack and a fast-moving team working on cutting-edge AI and cloud infrastructure.
• A mission-driven company tackling real-world environmental challenges. 

Job Responsibilities:

• Design, develop, test, and maintain high-performance web applications and backend services using Python.
• Build scalable, secure, and reliable backend systems and APIs.
• Optimize and debug existing codebases to enhance performance and maintainability.
• Collaborate closely with cross-functional teams to gather requirements and deliver high-quality solutions.
• Mentor junior developers, conduct code reviews, and uphold best coding practices.
• Write clear, comprehensive technical documentation for internal and external use.
• Stay current with emerging technologies, tools, and industry trends to continually improve development processes.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of hands-on experience in Python development.
• Strong expertise Flask.
• In-depth understanding of software design principles, architecture, and design patterns.
• Proven experience working with both SQL and NoSQL databases.
• Solid debugging and problem-solving capabilities.
• Effective communication and collaboration skills, with a team-first mindset.

Technical Skills:

• Programming: Python (Advanced)
• Web Frameworks: Flask
• Databases: PostgreSQL, MySQL, MongoDB, Redis
• Version Control: Git
• API Development: RESTful APIs
• Containerization & Orchestration: Docker, Kubernetes
• Cloud Platforms: AWS or Azure (hands-on experience preferred)
• DevOps: CI/CD pipelines (e.g., Jenkins, GitHub Actions)

Role - MLops Engineer

Required Experience - 4 Years

Location - Pune, Gurgaon, Noida, Bhopal, Bangalore 

Mode - Hybrid

Key Requirements:

• 4+ years of experience in Software Engineering with MLOps focus
• Strong expertise in AWS, particularly AWS SageMaker (required)
• AWS Data Zone experience (preferred)
• Proficiency in Python, R, Scala, or Spark
• Experience developing scalable, reliable, and secure applications
• Track record of production-grade development, integration and support

A BIT ABOUT US

Appknox is one of the top Mobile Application security companies recognized by Gartner and G2. A profitable B2B SaaS startup headquartered in Singapore & working from Bengaluru.

The primary goal of Appknox is to help businesses and mobile developers secure their mobile applications with a focus on delivery speed and high-quality security audits.

Our business includes Fortune 500 companies with Major brands spread across regions like India, South-East Asia, Middle-East, Japan, US, and expanding rapidly. 

The Opportunity:

We are seeking a highly skilled Senior Software Engineer (Backend) to join our dynamic software development team. In this role, you will contribute to key backend projects, collaborate across teams, and play a vital part in delivering robust, scalable, and high-performance software solutions. As a senior engineer, you will work independently, make impactful technical decisions, and help shape the backend architecture while collaborating with a passionate, high-performing team.

You will work hands-on with products primarily built in Python, with opportunities to contribute to Golang. These technologies are at the core of our development stack, and your focus will be on building, scaling, and maintaining distributed services. Distributed systems are integral to our architecture, providing a chance to gain hands-on experience with maintaining and optimizing them in a fast-paced environment.

As a Senior Engineer, you are expected to:

• Write clean, maintainable, and testable code while following best practices.
• Architect solutions, address complex problems, and deliver well-thought-out technical designs.
• Take ownership of assigned modules and features, delivering them with minimal supervision.
• Contribute to code reviews and technical discussions, ensuring high-quality deliverables.

We highly value open source contributions and encourage you to check out our work on GitHub at Appknox GitHub. While no prior experience in security is required, our experienced security professionals are available to support you in understanding the domain.

This role offers a unique opportunity to work on cutting-edge technology, drive impactful solutions, and grow within a collaborative environment that values autonomy, innovation, and technical excellence.

Responsibilities:

• Drive backend development for a disruptive product in the Security domain, focusing on innovation, performance, scalability, and maintainability.
• Take ownership of the software design process, including designing workflows, system architecture, and implementation plans.
• Translate functional and technical requirements into detailed architecture and design, making independent decisions to ensure efficiency and scalability.
• Collaborate with cross-functional teams, including frontend and security teams, to deliver cohesive and high-quality solutions.
• Conduct thorough code reviews to ensure adherence to best practices, maintainability, and coding standards.
• Write clean, maintainable, and testable code using Django and Python, adhering to industry best practices.
• Design and implement scalable software components, frameworks, and APIs using Django and Django REST Framework (DRF).
• Troubleshoot, debug, and optimize existing systems to improve functionality and performance.
• Create detailed technical documentation, including flowcharts, layouts, and system requirements, to ensure clarity and alignment.
• Develop and enforce robust software verification plans, quality assurance procedures, and deployment strategies.
• Ensure timely delivery of software updates while addressing user feedback to enhance solutions.
• Provide technical expertise to solve backend challenges and participate in critical decision-making processes.
• Support team growth by sharing knowledge, fostering collaboration, and mentoring junior engineers informally as needed.

Requirements:

• 5–6 years of professional experience in backend development with a strong focus on Django and Python.
• Proficiency in Django REST Framework (DRF), relational databases, SQL, and ORMs (e.g., Django ORM, SQLAlchemy).
• Strong problem-solving skills with the ability to make independent technical decisions regarding system design and implementation.
• Hands-on experience in designing and developing scalable, maintainable, and high-performing backend systems.
• Deep understanding of software engineering practices, including Test-Driven Development (TDD), CI/CD pipelines, and deployment processes.
• Excellent communication skills, with the ability to document and present technical specifications and workflows clearly.
• Familiarity with cloud infrastructure, deployment pipelines, and microservices architectures is a bonus.
• Self-motivated and capable of working independently in a fast-paced environment with minimal supervision.
• Ability to handle ambiguity and adapt to rapidly changing business needs while maintaining focus on delivering quality solutions.

Work Expectations:

Within 1 month-

• Attend KT sessions conducted by the engineering and product teams to gain a deep understanding of the product, its architecture, and workflows.
• Learn about the team's development processes, tools, and key challenges.
• Work closely with the product team to understand product requirements and contribute to the design and development of features.
• Dive deep into the existing backend architecture, including database structures, APIs, and integration points, to fully understand the technical landscape
• Begin addressing minor technical challenges and bugs, while understanding the underlying architecture and tech stack.
• Begin to participate in creating action plans for new features, ensuring that design and implementation are aligned with product goals.

Within 3 months-

• Achieve full autonomy in working on the codebase, demonstrating the ability to independently deliver high-quality features from design to deployment.
• Take complete ownership of critical modules, ensuring they are optimized for performance and maintainability.
• Act as a technical resource for the team, offering support and guidance to peers on complex issues.
• Collaborate with DevOps to optimize deployment pipelines, debug production issues, and improve backend infrastructure.
• Lead discussions for technical solutions and provide recommendations for architectural improvements.
• Contribute to the design of new features by translating functional requirements into detailed technical specifications.
• Prepare regular updates on assigned tasks and communicate effectively with the engineering manager and other stakeholders.

Within 6 months-

• Be fully independent in their development tasks, contributing to key features and solving critical challenges.
• Demonstrate strong problem-solving skills and the ability to take ownership of technical modules.
• Actively participate in code reviews and technical discussions, ensuring high-quality deliverables.
• Collaborate seamlessly with cross-functional teams to align technical solutions with business requirements.
• Establish themselves as a reliable and proactive team member, contributing to the team’s growth and success.

Personality traits we really admire :-

• Great attitude to ask questions, learn and suggest process improvements.
• Has attention to details and helps identify edge cases.
• Highly motivated and coming up with ideas and perspective to help us move towards our goals faster.
• Follows timelines and absolute commitment to deadlines.

Interview Process 

• Round 1 Interview - Profile Evaluation (EM)
• Round 2 Interview - Assignment Evaluation & Technical Problem Solving Discussion (Tech Team)
• Round 3 Interview - System Design (Sr. Architect)
• Round 4 Interview - Engineering Team & Technical Founder (CTO)
• Round 5 Interview - HR

Compensation

• Best in industry

We prefer that every employee also holds equity in the company. In this role, you will be awarded equity after 12 months, based on the impact you have created.

Please be aware that all your customers are Enterprises and Fortune 500 companies.

Why Join Us :-

• Freedom & Responsibility: If you are a person who enjoys challenging work & pushing your boundaries, then this is the right place for you. We appreciate new ideas & ownership as well as flexibility with working hours.
• Great Salary & Equity: We keep up with the market standards & provide pay packages considering updated standards. Also as Appknox continues to grow, you’ll have a great opportunity to earn more & grow with us. Moreover, we also provide equity options for our top performers.
• Holistic Growth: We foster a culture of continuous learning and take a much more holistic approach to training and developing our assets: the employees. We shall also support you all on that journey of yours.
• Transparency: Being a part of a start-up is an amazing experience one of the reasons being the open communication & transparency at multiple levels. Working with Appknox will give you the opportunity to experience it all first hand.
• Health insurance: We offer health insurance coverage upto 5 Lacs for you and your family including parents.

Mandatory

Strong Senior / Lead Software Engineer profile

Mandatory (Experience 1) - Must have Min 6 YOE in Software development, wherein 1-2 Yrs as Senior or Lead Role.

Mandatory (Experience 2) - Must have experience with Python + Django / Flask or similar framework

Mandatory (Experience 3) - Must have experience with Relational Databases (like MySQL, PostgreSQL, Oracle etc)

Mandatory (Experience 4) - Must have good experience in Micro Services or Distributed System frameworks(eg, Kafka, Google pub / Sub, AWS SNS, Azure Service Bus) or Message brokers(eg,RabbitMQ)

Mandatory (Location) - Candidate must be from Bengaluru

Mandatory (Company) - Product / Start-up companies only

Mandatory (Stability) - Should have worked for at least 2 years in 1 Company in last 3 years..

Job Summary:

We are looking for a motivated and detail-oriented Data Engineer with 1–2 years of experience to join our data engineering team. The ideal candidate should have solid foundational skills in SQL and Python, along with exposure to building or maintaining data pipelines. You’ll play a key role in helping to ingest, process, and transform data to support various business and analytical needs.

Key Responsibilities:

• Assist in the design, development, and maintenance of scalable and efficient data pipelines.
• Write clean, maintainable, and performance-optimized SQL queries.
• Develop data transformation scripts and automation using Python.
• Support data ingestion processes from various internal and external sources.
• Monitor data pipeline performance and help troubleshoot issues.
• Collaborate with data analysts, data scientists, and other engineers to ensure data quality and consistency.
• Work with cloud-based data solutions and tools (e.g., AWS, Azure, GCP – as applicable).
• Document technical processes and pipeline architecture.

Core Skills Required:

• Proficiency in SQL (data querying, joins, aggregations, performance tuning).
• Experience with Python, especially in the context of data manipulation (e.g., pandas, NumPy).
• Exposure to ETL/ELT pipelines and data workflow orchestration tools (e.g., Airflow, Prefect, Luigi – preferred).
• Understanding of relational databases and data warehouse concepts.
• Familiarity with version control systems like Git.

Preferred Qualifications:

• Experience with cloud data services (AWS S3, Redshift, Azure Data Lake, etc.)
• Familiarity with data modeling and data integration concepts.
• Basic knowledge of CI/CD practices for data pipelines.
• Bachelor’s degree in Computer Science, Engineering, or related field.

Role Summary:

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 2+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

· Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.

· Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

· Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

· Implement data governance and security best practices to ensure compliance and data integrity.

· Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

· Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Qualifications:

· Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

· 2+ years of prior experience in data engineering, with a focus on designing and building data pipelines.

· Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.

· Strong programming skills in languages such as Python, Java, or Scala.

· Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.

· Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

Role & Responsibilities

Take end-to-end ownership of critical backend services — from architecture and development to deployment and scale.

Design systems for performance, reliability, and observability. Identify bottlenecks and eliminate them proactively.

Collaborate with product and design to deeply understand user pain points and build the right solutions.

Work independently and own complex modules with minimal oversight.

Champion clean, maintainable code and help set a high bar for engineering excellence across the team.

Stay up-to-date with new tools, technologies, and backend trends — and bring the best ideas into our stack.

Ideal Candidate

2+ years of backend development experience, ideally with Kotlin and Spring Boot (or willingness to ramp up quickly).

You’ve worked in fast-moving teams and thrive when given room to figure things out.

You take initiative and can drive complex modules to completion without needing constant guidance.

Strong with both low-level and high-level design; you know how to build scalable, reliable RESTful APIs.

Proficient with relational databases and aware of common performance pitfalls.

Confident with debugging and optimizing — memory leaks, latency issues, and other hard-to-find problems don’t scare you.

You write clean, testable code and know how to leave systems better than you found them.

You bring a product mindset — caring not just about what’s built, but why and how it delivers value to users.

Work Mode: Hybrid

Need B.Tech, BE, M.Tech, ME candidates - Mandatory

Must-Have Skills:

● Educational Qualification :- B.Tech, BE, M.Tech, ME in any field.

● Minimum of 3 years of proven experience as a Data Engineer.

● Strong proficiency in Python programming language and SQL.

● Experience in DataBricks and setting up and managing data pipelines, data warehouses/lakes.

● Good comprehension and critical thinking skills.

● Kindly note Salary bracket will vary according to the exp. of the candidate - 

- Experience from 4 yrs to 6 yrs - Salary upto 22 LPA

- Experience from 5 yrs to 8 yrs - Salary upto 30 LPA

- Experience more than 8 yrs - Salary upto 40 LPA

Role Overview

We are looking for a QA Engineer with 2–5 years of experience in manual testing and software quality assurance. The ideal candidate is detail-oriented, analytical, and a strong team player, capable of ensuring a high standard of product quality across our web and mobile applications. While the role is primarily focused on manual testing, a foundational understanding of automation and scripting will be helpful when collaborating with the automation team.

Responsibilities

• Design, write, and execute comprehensive manual test cases for web and mobile applications.
• Perform various types of testing including functional, regression, exploratory, UI, and API testing.
• Log and track bugs using test management and defect tracking tools.
• Collaborate with developers, product managers, and other QA members to ensure thorough test coverage.
• Support the automation team by identifying automatable scenarios and reviewing scripts when necessary.
• Participate in all phases of the QA lifecycle – including test planning, execution, and release sign-off.
• Ensure timely delivery of high-quality software releases.

Requirements

Education:

• Bachelor’s degree in Engineering (Computer Science, IT, or a related field)

Experience:

• 2–5 years of hands-on experience in manual testing for web and mobile applications

Must-Have Skills:

• Strong knowledge of test case writing, planning, and defect management
• Basic familiarity with automation tools like Selenium
• Basic knowledge of Python
• Experience with API testing using tools like Postman
• Understanding of Agile/Scrum development methodologies
• Excellent communication skills and ability to collaborate across functions

Good-to-Have:

• Exposure to version control systems like Git and CI/CD tools like Jenkins
• Basic understanding of performance or security testing

About the Company – Gruve

Gruve is an innovative software services startup dedicated to empowering enterprise customers in managing their Data Life Cycle. We specialize in Cybersecurity, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence.

As a well-funded early-stage startup, we offer a dynamic environment, backed by strong customer and partner networks. Our mission is to help customers make smarter decisions through data-driven business strategies.

Why Gruve

At Gruve, we foster a culture of:

• Innovation, collaboration, and continuous learning
• Diversity and inclusivity, where everyone is encouraged to thrive
• Impact-focused work — your ideas will shape the products we build

We’re an equal opportunity employer and encourage applicants from all backgrounds. We appreciate all applications, but only shortlisted candidates will be contacted.

Position Summary

We are seeking a highly skilled Software Engineer to lead the development of an Infrastructure Asset Management Platform. This platform will assist infrastructure teams in efficiently managing and tracking assets for regulatory audit purposes.

You will play a key role in building a comprehensive automation solution to maintain a real-time inventory of critical infrastructure assets.

Key Responsibilities

• Design and develop an Infrastructure Asset Management Platform for tracking a wide range of assets across multiple environments.
• Build and maintain automation to track:
• Physical Assets: Servers, power strips, racks, DC rooms & buildings, security cameras, network infrastructure.
• Virtual Assets: Load balancers (LTM), communication equipment, IPs, virtual networks, VMs, containers.
• Cloud Assets: Public cloud services, process registry, database resources.
• Collaborate with infrastructure teams to understand asset-tracking requirements and convert them into technical implementations.
• Optimize performance and scalability to handle large-scale asset data in real-time.
• Document system architecture, implementation, and usage.
• Generate reports for compliance and auditing.
• Ensure integration with existing systems for streamlined asset management.

Basic Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field
• 3–6 years of experience in software development
• Strong proficiency in Golang and Python
• Hands-on experience with public cloud infrastructure (AWS, GCP, Azure)
• Deep understanding of automation solutions and parallel computing principles

Preferred Qualifications

• Excellent problem-solving skills and attention to detail
• Strong communication and teamwork skills

Exp: 4-6 years

Position: Backend Engineer

Job Location: Bangalore ( office near cubbon park - opp JW marriott)

Work Mode : 5 days work from office 

Requirements:

● Engineering graduate with 3-5 years of experience in software product development.

● Proficient in Python, Node.js, Go

● Good knowledge of SQL and NoSQL

● Strong Experience in designing and building APIs

● Experience with working on scalable interactive web applications

● A clear understanding of software design constructs and their implementation

● Understanding of the threading limitations of Python and multi-process architecture

● Experience implementing Unit and Integration testing

● Exposure to the Finance domain is preferred

● Strong written and oral communication skills

We are looking for a skilled and passionate Data Engineers with a strong foundation in Python programming and hands-on experience working with APIs, AWS cloud, and modern development practices. The ideal candidate will have a keen interest in building scalable backend systems and working with big data tools like PySpark.

Key Responsibilities:

• Write clean, scalable, and efficient Python code.
• Work with Python frameworks such as PySpark for data processing.
• Design, develop, update, and maintain APIs (RESTful).
• Deploy and manage code using GitHub CI/CD pipelines.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Work on AWS cloud services for application deployment and infrastructure.
• Basic database design and interaction with MySQL or DynamoDB.
• Debugging and troubleshooting application issues and performance bottlenecks.

Required Skills & Qualifications:

• 4+ years of hands-on experience with Python development.
• Proficient in Python basics with a strong problem-solving approach.
• Experience with AWS Cloud services (EC2, Lambda, S3, etc.).
• Good understanding of API development and integration.
• Knowledge of GitHub and CI/CD workflows.
• Experience in working with PySpark or similar big data frameworks.
• Basic knowledge of MySQL or DynamoDB.
• Excellent communication skills and a team-oriented mindset.

Nice to Have:

• Experience in containerization (Docker/Kubernetes).
• Familiarity with Agile/Scrum methodologies.

About the job

Location: Bangalore, India

Job Type: Full-Time | On-Site

Job Description

We are looking for a highly skilled and motivated Python Backend Developer to join our growing team in Bangalore. The ideal candidate will have a strong background in backend development with Python, deep expertise in relational databases like MySQL, and hands-on experience with AWS cloud infrastructure.

Key Responsibilities

• Design, develop, and maintain scalable backend systems using Python.
• Architect and optimize relational databases (MySQL), including complex queries and indexing.
• Manage and deploy applications on AWS cloud services (EC2, S3, RDS, DynamoDB, API Gateway, Lambda).
• Automate cloud infrastructure using CloudFormation or Terraform.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Mentor junior developers and contribute to a culture of technical excellence.
• Proactively identify issues and provide solutions to challenging backend problems.

Mandatory Requirements

• Minimum 3 years of professional experience in Python backend development.
• Expert-level knowledge in MySQL database creation, optimization, and query writing.
• Strong experience with AWS services, particularly EC2, S3, RDS, DynamoDB, API Gateway, and Lambda.
• Hands-on experience with infrastructure as code using CloudFormation or Terraform.
• Proven problem-solving skills and the ability to work independently.
• Demonstrated leadership abilities and team collaboration skills.
• Excellent verbal and written communication.

Job Title : Automation Quality Engineer (Gen AI)

Experience : 3 to 5+ Years

Location : Bangalore / Chennai / Pune

Role Overview :

We’re hiring a Quality Engineer to lead QA efforts for AI models, applications, and infrastructure.

You'll collaborate with cross-functional teams to design test strategies, implement automation, ensure model accuracy, and maintain high product quality.

Key Responsibilities :

• Develop and maintain test strategies for AI models, APIs, and user interfaces.
• Build automation frameworks and integrate into CI/CD pipelines.
• Validate model accuracy, robustness, and monitor model drift.
• Perform regression, performance, load, and security testing.
• Log and track issues; collaborate with developers to resolve them.
• Ensure compliance with data privacy and ethical AI standards.
• Document QA processes and testing outcomes.

Mandatory Skills :

• Test Automation : Selenium, Playwright, or Deep Eval
• Programming/Scripting : Python, JavaScript
• API Testing : Postman, REST Assured
• Cloud & DevOps : Azure, Azure Kubernetes, CI/CD pipelines
• Performance Testing : JMeter
• Bug Tracking : Azure DevOps
• Methodologies : Agile delivery experience
• Soft Skills : Strong communication and problem-solving abilities

About the Role:

• We are looking for a highly skilled and experienced Senior Python Developer to join our dynamic team based in Manyata Tech Park, Bangalore. The ideal candidate will have a strong background in Python development, object-oriented programming, and cloud-based application development. You will be responsible for designing, developing, and maintaining scalable backend systems using modern frameworks and tools.
• This role is hybrid, with a strong emphasis on working from the office to collaborate effectively with cross-functional teams.

Key Responsibilities:

• Design, develop, test, and maintain backend services using Python.
• Develop RESTful APIs and ensure their performance, responsiveness, and scalability.
• Work with popular Python frameworks such as Django or Flask for rapid development.
• Integrate and work with cloud platforms (AWS, Azure, GCP or similar).
• Collaborate with front-end developers and other team members to establish objectives and design cohesive code.
• Apply object-oriented programming principles to solve real-world problems efficiently.
• Implement and support event-driven architectures where applicable.
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues.
• Write clean, maintainable, and reusable code with proper documentation.
• Contribute to system architecture and code review processes.

Required Skills and Qualifications:

• Minimum of 5 years of hands-on experience in Python development.
• Strong understanding of Object-Oriented Programming (OOP) and Data Structures.
• Proficiency in building and consuming REST APIs.
• Experience working with at least one cloud platform such as AWS, Azure, or Google Cloud Platform.
• Hands-on experience with Python frameworks like Django, Flask, or similar.
• Familiarity with event-driven programming and asynchronous processing.
• Excellent problem-solving, debugging, and troubleshooting skills.
• Strong communication and collaboration abilities to work effectively in a team environment.

Key Responsibilities:

• Design, develop, and maintain data pipelines on AWS.
• Work with large-scale data processing using SQL, Python or PySpark.
• Implement and optimize ETL processes for structured and unstructured data.
• Develop and manage data models in Snowflake.
• Ensure data security, integrity, and compliance on AWS cloud infrastructure.
• Collaborate with cross-functional teams to support data-driven decision-making.

Required Skills:

• Strong hands-on experience with AWS services 
• Proficiency in SQL, Python, or PySpark for data processing and transformation.
• Experience working with Snowflake for data warehousing.
• Strong understanding of data modeling, data governance, and performance tuning.
• Knowledge of CI/CD pipelines for data workflows is a plus.
• 
  

We are looking for a Senior Data Engineer with strong expertise in GCP, Databricks, and Airflow to design and implement a GCP Cloud Native Data Processing Framework. The ideal candidate will work on building scalable data pipelines and help migrate existing workloads to a modern framework.

• Shift: 2 PM 11 PM
• Work Mode: Hybrid (3 days a week) across Xebia locations
• Notice Period: Immediate joiners or those with a notice period of up to 30 days

Key Responsibilities:

• Design and implement a GCP Native Data Processing Framework leveraging Spark and GCP Cloud Services.
• Develop and maintain data pipelines using Databricks and Airflow for transforming Raw → Silver → Gold data layers.
• Ensure data integrity, consistency, and availability across all systems.
• Collaborate with data engineers, analysts, and stakeholders to optimize performance.
• Document standards and best practices for data engineering workflows.

Required Experience:

• 7-8 years of experience in data engineering, architecture, and pipeline development.
• Strong knowledge of GCP, Databricks, PySpark, and BigQuery.
• Experience with Orchestration tools like Airflow, Dagster, or GCP equivalents.
• Understanding of Data Lake table formats (Delta, Iceberg, etc.).
• Proficiency in Python for scripting and automation.
• Strong problem-solving skills and collaborative mindset.

⚠️ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response!

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

Job Description :

We are seeking a highly skilled and motivated Python Developer with 4 to 6 years of experience to join our dynamic development team. The ideal candidate will have expertise in Python programming and be proficient in building scalable, secure, and efficient applications. The role involves collaborating with cross-functional teams to design, develop, and maintain software solutions.

The core responsibilities for the job include the following :

1.Application Development :

- Write clean, efficient, and reusable Python code.

- Develop scalable backend solutions and RESTful APIs.

- Optimize applications for maximum speed and scalability.

2.Integration and Database Management :

- Integrate data storage solutions such as SQL, PostgreSQL, or NoSQL databases (e. g., MongoDB).

- Work with third-party APIs and libraries to enhance application functionality.

3.Collaboration and Problem-Solving :

- Collaborate with front-end developers, designers, and project managers.

- Debug, troubleshoot, and resolve application issues promptly.

4.Code Quality and Documentation :

- Adhere to coding standards and best practices.

- Write comprehensive technical documentation and unit tests.

5.Innovation and Optimization :

- Research and implement new technologies and frameworks to improve software performance.

- Identify bottlenecks and devise solutions to optimize performance.

6.Requirements :

- Strong programming skills in Python with 4-6 years of hands-on experience.

- Proficiency in at least one Python web framework (e. g., Django, Flask, FastAPI).

- Experience with RESTful API development and integration.

- Knowledge of database design and management using SQL (MySQL, PostgreSQL) and NoSQL (MongoDB).

- Familiarity with cloud platforms (e. g., AWS, Azure, or Google Cloud) and containerization tools like Docker.

- Experience with version control systems like Git.

- Strong understanding of software development lifecycle (SDLC) and Agile methodologies.

- Knowledge of front-end technologies (e. g., HTML, CSS, JavaScript) is a plus.

- Experience with testing frameworks like Pytest or Unittest.

- Working knowledge of Java is a plus.

- Bachelors or Masters degree in Computer Science, Engineering, or a related field.

7.Preferred Skills :

- Knowledge of data processing libraries such as Pandas or NumPy.

- Experience with machine learning frameworks like TensorFlow or PyTorch (optional but a plus).

- Familiarity with CI/CD pipelines and deployment practices.

- Experience in message brokers like RabbitMQ or Kafka.

8.Soft Skills :

- Excellent problem-solving skills and attention to detail.

- Strong communication and teamwork abilities.

- Ability to manage multiple tasks and meet deadlines in a fast-paced environment.

- Willingness to learn and adapt to new technologies.

General Description:

Owns all technical aspects of software development for assigned applications.

Participates in the design and development of systems & application programs.

Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation.

Required Skills:

In depth experience configuring and administering EKS clusters in AWS.

In depth experience in configuring **DataDog** in AWS environments especially in **EKS**

In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**

In depth knowledge of observability concepts and strong troubleshooting experience.

Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.

Experience in **Terraform** and Infrastructure as code.

Experience in **Helm**

Strong scripting skills in Shell and/or python.

Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.

Must have a good understanding of cloud concepts (Storage /compute/network).

Experience in Collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.

Experience with Git and GitHub.

Proficient in developing and maintaining technical documentation, ADRs, and runbooks.

Role & Responsibilities

Lead the design, development, and deployment of complex, scalable, reliable, and highly available features for world-class SaaS products and services.

Guide the engineering team in adopting best practices for software development, code quality, and architecture.

Make strategic architectural and technical decisions, ensuring the scalability, security, and performance of software applications.

Proactively identify, prioritize, and address technical debt to improve system performance, maintainability, and long-term scalability, ensuring a solid foundation for future development.

Collaborate with cross-functional teams (product managers, designers, and stakeholders) to define project scope, requirements, and timelines.

Mentor and coach team members, providing technical guidance and fostering professional development.

Oversee code reviews, ensuring adherence to best practices and maintaining high code quality standards.

Drive continuous improvement in development processes, tools, and technologies to increase team productivity and product quality.

Stay updated with the latest industry trends and emerging technologies to drive innovation and keep the team at the cutting edge.

Ensure project timelines and goals are met, managing risks and resolving any technical challenges that arise during development.

Foster a collaborative and inclusive team culture, promoting open communication and problem-solving.

Imbibe and maintain a strong customer delight attitude while designing and building products.

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Role

We seek experienced ML/AI professionals with strong backgrounds in computer science, software engineering, or related elds to join our Azure-focused MLOps team. If you’re passionate about deploying complex machine learning models in real-world settings, bridging the gap between research and production, and working on high-impact projects, this role is for you.

Work you’ll do

As an operations engineer, you’ll oversee the entire ML lifecycle on Azure—spanning initial proofs-of-concept to large-scale production deployments. You’ll build and maintain automated training, validation, and deployment pipelines using Azure DevOps, Azure ML, and related services, ensuring models are continuously monitored, optimized for performance, and cost-eective. By integrating MLOps practices such as MLow and CI/CD, you’ll drive rapid iteration and experimentation. In close collaboration with senior ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade ML solutions that directly impact business outcomes. 

Responsibilities

• ML-focused DevOps: Set up robust CI/CD pipelines with a strong emphasis on model versioning, automated testing, and advanced deployment strategies on Azure.
• Monitoring & Maintenance: Track and optimize the performance of deployed models through live metrics, alerts, and iterative improvements.
• Automation: Eliminate repetitive tasks around data preparation, model retraining, and inference by leveraging scripting and infrastructure as code (e.g., Terraform, ARM templates).
• Security & Reliability: Implement best practices for securing ML workows on Azure, including identity/access management, container security, and data encryption.
• Collaboration: Work closely with the data science teams to ensure model performance is within agreed SLAs, both for training and inference.

Skills & Requirements

• 2+ years of hands-on programming experience with Python (PySpark or Scala optional).
• Solid knowledge of Azure cloud services (Azure ML, Azure DevOps, ACI/AKS).
• Practical experience with DevOps concepts: CI/CD, containerization (Docker, Kubernetes), infrastructure as code (Terraform, ARM templates).
• Fundamental understanding of MLOps: MLow or similar frameworks for tracking and versioning.
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, XGBoost) and how to operationalize them in production.
• Broad understanding of data structures and data engineering.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, eiciency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, x or improve – anything that isn’t done right, irrespective of who did it. Be selsh about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

About the Company:

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As an well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve:

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position summary:

We are seeking a Staff Engineer – DevOps with 8-12 years of experience in designing, implementing, and optimizing CI/CD pipelines, cloud infrastructure, and automation frameworks. The ideal candidate will have expertise in Kubernetes, Terraform, CI/CD, Security, Observability, and Cloud Platforms (AWS, Azure, GCP). You will play a key role in scaling and securing our infrastructure, improving developer productivity, and ensuring high availability and performance. 

Key Roles & Responsibilities:

• Design, implement, and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, ArgoCD, and Tekton.
• Deploy and manage Kubernetes clusters (EKS, AKS, GKE) and containerized workloads.
• Automate infrastructure provisioning using Terraform, Ansible, Pulumi, or CloudFormation.
• Implement observability and monitoring solutions using Prometheus, Grafana, ELK, OpenTelemetry, or Datadog.
• Ensure security best practices in DevOps, including IAM, secrets management, container security, and vulnerability scanning.
• Optimize cloud infrastructure (AWS, Azure, GCP) for performance, cost efficiency, and scalability.
• Develop and manage GitOps workflows and infrastructure-as-code (IaC) automation.
• Implement zero-downtime deployment strategies, including blue-green deployments, canary releases, and feature flags.
• Work closely with development teams to optimize build pipelines, reduce deployment time, and improve system reliability. 

Basic Qualifications:

• A bachelor’s or master’s degree in computer science, electronics engineering or a related field
• 8-12 years of experience in DevOps, Site Reliability Engineering (SRE), or Infrastructure Automation.
• Strong expertise in CI/CD pipelines, version control (Git), and release automation.
•  Hands-on experience with Kubernetes (EKS, AKS, GKE) and container orchestration.
• Proficiency in Terraform, Ansible for infrastructure automation.
• Experience with AWS, Azure, or GCP services (EC2, S3, IAM, VPC, Lambda, API Gateway, etc.).
• Expertise in monitoring/logging tools such as Prometheus, Grafana, ELK, OpenTelemetry, or Datadog.
• Strong scripting and automation skills in Python, Bash, or Go.

Preferred Qualifications  

• Experience in FinOps Cloud Cost Optimization) and Kubernetes cluster scaling.
• Exposure to serverless architectures and event-driven workflows.
• Contributions to open-source DevOps projects. 

Location: Malleshwaram/MG Road

Work: Initially Onsite and later Hybrid

We are committed to becoming a true DevOps house and want your help. The role will

require close liaison with development and test teams to increase effectiveness of

current dev processes. Participation in an out-of-hours emergency support rotationally

will be required. You will be shaping the way that we use our DevOps tools and

innovating to deliver business value and improve the cadence of the entire dev team.

Required Skills:

Good knowledge of Amazon Web Services suite (EC2, ECS, Loadbalancing, VPC,

S3, RDS, Lambda, Cloudwatch, IAM etc)

• Hands on knowledge on container orchestration tools – Must have: AWS ECS and Good to have: AWS EKS

• Good knowledge on creating and maintaining the infrastructure as code using Terraform

• Solid experience with CI-CD tools like Jenkins, git and Ansible

• Working experience on supporting Microservices (Deploying, maintaining and

monitoring Java web-based production applications using docker container)

• Strong knowledge on debugging production issues across the services and

technology stack and application monitoring (we use Splunk & Cloudwatch)

• Experience with software build tools (maven, and node)

• Experience with scripting and automation languages (Bash, groovy,

JavaScript, python)

• Experience with Linux administration and CVEs scan - Amz Linux, Ubuntu

• 4+ years in AWS DevOps Engineer

Optional skills:

• Oracle/SQL database maintenance experience

• Elastic Search

• Serverless/container based approach

• Automated testing of infrastructure deployments

• Experience of performance testing & JVM tuning

• Experience of a high-volume distributed eCommerce environment

• Experience working closely with Agile development teams

• Familiarity with load testing tools & process

• Experience with nginx, tomcat and apache

• Experience with Cloudflare

Personal attributes

The successful candidate will be comfortable working autonomously and

independently.

They will be keen to bring an entire team to the next level of delivering business value.

A proactive approach to problem

• Experience in Python
• Experience in any Framework like Django, and Flask.
• Primary and Secondary skills - Python, OOPs and Data Structure
• Good understanding of Rest Api 
• Familiarity with event-driven programming in Python 
• Good analytical and troubleshooting skills

About the Role:

We are looking for a skilled Full Stack Developer (Python & React) to join our Data & Analytics team. You will design, develop, and maintain scalable web applications while collaborating with cross-functional teams to enhance our data products.

Responsibilities:

• Develop and maintain web applications (front-end & back-end).
• Write clean, efficient code in Python and TypeScript (React).
• Design and implement RESTful APIs.
• Work with Snowflake, NoSQL, and streaming data platforms.
• Build reusable components and collaborate with designers & developers.
• Participate in code reviews and improve development processes.
• Debug and resolve software defects while staying updated with industry trends.

Qualifications:

• Passion for immersive user experiences and data visualization tools (e.g., Apache Superset).
• Proven experience as a Full Stack Developer.
• Proficiency in Python (Django, Flask) and JavaScript/TypeScript (React).
• Strong understanding of HTML, CSS, SQL/NoSQL, and Git.
• Knowledge of software development best practices and problem-solving skills.
• Experience with AWS, Docker, Kubernetes, and FaaS.
• Knowledge of Terraform and testing frameworks (Playwright, Jest, pytest).
• Familiarity with Agile methodologies and open-source contributions.

Job Description - 

Role - Sr. Python Developer

Location -- Manyata Tech Park, Bangalore 

Mode - Hybrid

Required Tech Skills:

• Experience in Python
• Experience in any Framework like Django, and Flask.
• Primary and Secondary skills - Python, OOPs and Data Structure
• Good understanding of Rest Api 
• Familiarity with event-driven programming in Python 
• Good analytical and troubleshooting skills

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

Mon-fri role, In office, with excellent perks and benefits!

Position Overview

We are seeking a Software Architect to lead the design and development of high-performance robotics and AI software stacks utilizing NVIDIA technologies. This role will focus on defining scalable, modular, and efficient architectures for robot perception, planning, simulation, and embedded AI applications. You will collaborate with cross-functional teams to build next-generation autonomous systems 9

Key Responsibilities:

1. System Architecture & Design

● Define scalable software architectures for robotics perception, navigation, and AI-driven decision-making.

● Design modular and reusable frameworks that leverage NVIDIA’s Jetson, Isaac ROS, Omniverse, and CUDA ecosystems.

● Establish best practices for real-time computing, GPU acceleration, and edge AI inference.

2. Perception & AI Integration

● Architect sensor fusion pipelines using LIDAR, cameras, IMUs, and radar with DeepStream, TensorRT, and ROS2.

● Optimize computer vision, SLAM, and deep learning models for edge deployment on Jetson Orin and Xavier.

● Ensure efficient GPU-accelerated AI inference for real-time robotics applications.

3. Embedded & Real-Time Systems

● Design high-performance embedded software stacks for real-time robotic control and autonomy.

● Utilize NVIDIA CUDA, cuDNN, and TensorRT to accelerate AI model execution on Jetson platforms.

● Develop robust middleware frameworks to support real-time robotics applications in ROS2 and Isaac SDK.

4. Robotics Simulation & Digital Twins

● Define architectures for robotic simulation environments using NVIDIA Isaac Sim & Omniverse.

● Leverage synthetic data generation (Omniverse Replicator) for training AI models.

● Optimize sim-to-real transfer learning for AI-driven robotic behaviors.

5. Navigation & Motion Planning

● Architect GPU-accelerated motion planning and SLAM pipelines for autonomous robots.

● Optimize path planning, localization, and multi-agent coordination using Isaac ROS Navigation.

● Implement reinforcement learning-based policies using Isaac Gym.

6. Performance Optimization & Scalability

● Ensure low-latency AI inference and real-time execution of robotics applications.

● Optimize CUDA kernels and parallel processing pipelines for NVIDIA hardware.

● Develop benchmarking and profiling tools to measure software performance on edge AI devices.

Required Qualifications:

● Master’s or Ph.D. in Computer Science, Robotics, AI, or Embedded Systems.

● Extensive experience (7+ years) in software development, with at least 3-5 years focused on architecture and system design, especially for robotics or embedded systems.

● Expertise in CUDA, TensorRT, DeepStream, PyTorch, TensorFlow, and ROS2.

● Experience in NVIDIA Jetson platforms, Isaac SDK, and GPU-accelerated AI.

● Proficiency in programming languages such as C++, Python, or similar, with deep understanding of low-level and high-level design principles.

● Strong background in robotic perception, planning, and real-time control.

● Experience with cloud-edge AI deployment and scalable architectures.

Preferred Qualifications

● Hands-on experience with NVIDIA DRIVE, NVIDIA Omniverse, and Isaac Gym

● Knowledge of robot kinematics, control systems, and reinforcement learning

● Expertise in distributed computing, containerization (Docker), and cloud robotics

● Familiarity with automotive, industrial automation, or warehouse robotics

● Experience designing architectures for autonomous systems or multi-robot systems.

● Familiarity with cloud-based solutions, edge computing, or distributed computing for robotics

● Experience with microservices or service-oriented architecture (SOA)

● Knowledge of machine learning and AI integration within robotic systems

● Knowledge of testing on edge devices with HIL and simulations (Isaac Sim, Gazebo, V-REP etc.)

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

Mon-Fri, In office role with excellent perks and benefits!

Key Responsibilities:

1. Design, develop, and maintain backend services and APIs using Node.js or Python, or Java.

2. Build and implement scalable and robust microservices and integrate API gateways.

3. Develop and optimize NoSQL database structures and queries (e.g., MongoDB, DynamoDB).

4. Implement real-time data pipelines using Kafka.

5. Collaborate with front-end developers to ensure seamless integration of backend services.

6. Write clean, reusable, and efficient code following best practices, including design patterns.

7. Troubleshoot, debug, and enhance existing systems for improved performance.

Mandatory Skills:

1. Proficiency in at least one backend technology: Node.js or Python, or Java.

2. Strong experience in:

i. Microservices architecture,

ii. API gateways,

iii. NoSQL databases (e.g., MongoDB, DynamoDB),

iv. Kafka

v. Data structures (e.g., arrays, linked lists, trees).

3. Frameworks:

i. If Java : Spring framework for backend development.

ii. If Python: FastAPI/Django frameworks for AI applications.

iii. If Node: Express.js for Node.js development.

Good to Have Skills:

1. Experience with Kubernetes for container orchestration.

2. Familiarity with in-memory databases like Redis or Memcached.

3. Frontend skills: Basic knowledge of HTML, CSS, JavaScript, or frameworks like React.js.

Role & Responsibilities

work with peers in Product, QA, and other Engineering departments;

coach and mentor team members;

cautiously drive adoption of new technologies and processes;

preserve our engineering values of quality, scalability, and maintainability;

“see around corners” — identify blind spots and prioritize work across teams;

work with international teams to ensure successful product development and delivery; and

own the overall architecture and systems engineering for your products.

Link to apply- https://tally.so/r/w8RpLk

About Us

At GreenStitch, we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives.

The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs.

You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitch’s mission, values, and ethical standards.

What You’ll Do:

• AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency.
• Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges.
• Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities.
• Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements, rapidly prototype solutions, and iterate on ideas for continuous improvement.
• Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact, ensuring production readiness.
• Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions.
• Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals.
• Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders.

What You’ll Bring:

• Education: Bachelors/Master’s degree in Data Science, Computer Science, AI, or a related field.
• Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning.
• Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks (TensorFlow, PyTorch), and cloud platforms (Azure, AWS, GCP).
• Software Development: Experience in Python, Java, or similar languages, and familiarity with MLOps tools.
• Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach.
• Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications.
• Collaboration & Communication: Strong ability to work with cross-functional teams, communicate complex ideas, and drive AI adoption.

Why GreenStitch?

GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will:

• Work on high-impact AI projects that contribute to sustainability and decarbonisation.
• Be part of a dynamic and collaborative team committed to making a difference.
• Enjoy a flexible, hybrid work model that supports professional growth and work-life balance.
• Receive competitive compensation and benefits, including healthcare, parental leave, and learning opportunities.

Location: Bangalore(India)

Employment Type: Full Time, Permanent

Industry Type: Climate-Tech / Fashion-Tech

Department: Data Science & Machine Learning

Join us in shaping the future of sustainable fashion with cutting-edge AI solutions! 🚀

Apply Link - https://tally.so/r/wv0lEA

Key Responsibilities:

1. Software Development:

• Design, implement, and optimise clean, scalable, and reliable code across [backend/frontend/full-stack] systems.
• Contribute to the development of micro services, APIs, or UI components as per the project requirements.

1. System Architecture:

• Collaborate and design and enhance system architecture.
• Analyse and identify opportunities for performance improvements and scalability.

1. Code Reviews and Mentorship:

• Conduct thorough code reviews to ensure code quality, maintainability, and adherence to best practices.
• Mentor and support junior developers, fostering a culture of learning and growth.

1. Agile Collaboration:

• Work within an Agile/Scrum framework, participating in sprint planning, daily stand-ups, and retrospectives.
• Collaborate with Carbon Science, Designer, and other stakeholders to translate requirements into technical solutions.

1. Problem-Solving:

• Investigate, troubleshoot, and resolve complex issues in production and development environments.
• Contribute to incident management and root cause analysis to improve system reliability.

1. Continuous Improvement:

• Stay up-to-date with emerging technologies and industry trends.
• Propose and implement improvements to existing codebases, tools, and development processes.

Qualifications:

Must-Have:

• Experience: 2–5 years of professional software development experience in [specify languages/tools, e.g., Java, Python, JavaScript, etc.].
• Education: Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Technical Skills:
• Strong proficiency in [programming languages/frameworks/tools].
• Experience with cloud platforms like AWS, Azure, or GCP.
• Knowledge of version control tools (e.g., Git) and CI/CD pipelines.
• Understanding of data structures, algorithms, and system design principles.

Nice-to-Have:

• Experience with containerisation (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Knowledge of database technologies (SQL and NoSQL).

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work in a fast-paced environment and manage multiple priorities effectively.

Job DescriptionWe are seeking an experienced HubSpot CRM Developer to join our team. The ideal candidate will have a strong background in HubSpot development, integrations, and dashboard creation while working with cross-functional teams to optimize CRM functionality.

Key Responsibilities:●    Develop, customize, and optimize HubSpot CRM to meet business needs.

●    Integrate HubSpot with other technologies and external business intelligence tools like Power BI and Tableau.

●    Build and maintain dashboards and reports to support marketing, sales, operations, and finance teams.

●    Work with backend technologies (PHP, Python, Node.js, etc.) to implement integrations and automation.

●    High proficiency in JavaScript.

●    Develop and maintain scripts in any suitable scripting language to support CRM functionality.

●    Ensure seamless data flow and synchronization between HubSpot and external platforms.

●    Collaborate with multiple teams to understand data requirements and optimize CRM processes.

Requirements:●     7-10 years of relevant experience in HubSpot development and integration.

●    Strong expertise in backend development using any  PHP, Python, or Node.js.

●    High proficiency in JavaScript and any scripting languages.

●    Experience in HubSpot API integration with other platforms.

●    Proficiency in dashboard and reporting tools like Power BI and Tableau.

●    Ability to work independently (IC role) while collaborating with cross-functional teams.

●    Must have experience in handling end-to-end projects from scratch.

●    Exposure to multiple industries/domains is preferred (not limited to a single company for 5-10 years).

Key Responsibilities:

• Design, build, and maintain scalable, real-time data pipelines using Apache Flink (or Apache Spark).
• Work with Apache Kafka (mandatory) for real-time messaging and event-driven data flows.
• Build data infrastructure on Lakehouse architecture, integrating data lakes and data warehouses for efficient storage and processing.
• Implement data versioning and cataloging using Apache Nessie, and optimize datasets for analytics with Apache Iceberg.
• Apply advanced data modeling techniques and performance tuning using Apache Doris or similar OLAP systems.
• Orchestrate complex data workflows using DAG-based tools like Prefect, Airflow, or Mage.
• Collaborate with data scientists, analysts, and engineering teams to develop and deliver scalable data solutions.
• Ensure data quality, consistency, performance, and security across all pipelines and systems.
• Continuously research, evaluate, and adopt new tools and technologies to improve our data platform.

Skills & Qualifications:

• 3–6 years of experience in data engineering, building scalable data pipelines and systems.
• Strong programming skills in Python, Go, or Java.
• Hands-on experience with stream processing frameworks – Apache Flink (preferred) or Apache Spark.
• Mandatory experience with Apache Kafka for stream data ingestion and message brokering.
• Proficiency with at least one DAG-based orchestration tool like Airflow, Prefect, or Mage.
• Solid understanding and hands-on experience with SQL and NoSQL databases.
• Deep understanding of data lakehouse architectures, including internal workings of data lakes and data warehouses, not just usage.
• Experience working with at least one cloud platform, preferably AWS (GCP or Azure also acceptable).
• Strong knowledge of distributed systems, data modeling, and performance optimization.

Nice to Have:

• Experience with Apache Doris or other MPP/OLAP databases.
• Familiarity with CI/CD pipelines, DevOps practices, and infrastructure-as-code in data workflows.
• Exposure to modern data version control and cataloging tools like Apache Nessie.

Engineer the Future of AI-Powered Recruitment Applications

About Us:

At PyjamaHR, we're creating recruitment software so intuitive you could use it in your pajamas. We integrate cutting-edge LLMs and Generative AI technologies into practical, powerful applications that are transforming how 525+ companies hire talent. While others are still talking about AI potential, we're shipping AI-powered features that deliver real value. As we scale from Bangalore to the US market, we need exceptional full-stack talent who can turn advanced AI capabilities into elegant, user-friendly experiences.

The Role:

As a Senior Full-Stack Engineer at PyjamaHR, you'll build the applications and interfaces that bring our AI capabilities to life. This isn't about training models—it's about implementing, integrating, and optimizing Generative AI within robust full-stack applications. You'll work across our entire technology ecosystem to create seamless experiences that leverage AI to solve real recruitment challenges. Your code will directly impact how companies discover, evaluate, and hire talent.

What You'll Do:

• Implement AI-Powered Features - Integrate Generative AI capabilities into practical, user-facing applications
• Build End-to-End Solutions - Develop both frontend experiences and backend services that leverage AI capabilities
• Create Scalable Architectures - Design systems that grow with our rapidly expanding user base
• Optimize Performance - Ensure our applications remain responsive even when processing complex AI operations
• Enhance User Experiences - Translate advanced AI capabilities into intuitive, accessible interfaces
• Drive Technical Excellence - Set standards for code quality and engineering practices across the team
• Collaborate Across Functions - Work with product, design, and data teams to deliver cohesive solutions
• Solve Complex Challenges - Apply your technical creativity to the unique problems of AI-powered recruitment

Who We're Looking For:

• 3-5 years of full-stack development experience building production applications
• Experience implementing and integrating Generative AI into web applications
• Expertise with either Django/React or Node.js/React technology stacks
• Strong experience with cloud platforms (Azure preferred, AWS acceptable)
• Proven ability to build performant, scalable web applications
• Excellence in modern JavaScript/TypeScript and frontend development
• Solid understanding of software architecture principles
• Product-minded approach to engineering decisions
• Ability to thrive in fast-paced environments with evolving priorities
• Bachelor's or higher in Computer Science or equivalent practical experience

The Rewards:

• Salary range of ₹30-40 LPA for exceptional talent (with room to negotiate for truly outstanding candidates)
• Equity package with significant growth potential
• Minimal bureaucracy and maximum impact
• Autonomy to make important technical decisions
• The opportunity to shape an industry-leading product
• Collaborative, innovation-focused work environment

Location: Bangalore (Koramangala 8th Block)

This role is perfect for engineers who want to apply their full-stack expertise to implement cutting-edge AI technologies in real-world applications. If you're excited about building the interfaces and systems that make advanced AI accessible and valuable to users, we want to talk to you.

Role & Responsibilities

• work with peers in Product, QA, and other Engineering departments;
• coach and mentor team members;
• cautiously drive adoption of new technologies and processes;
• preserve our engineering values of quality, scalability, and maintainability;
• “see around corners” — identify blind spots and prioritize work across teams;
• work with international teams to ensure successful product development and delivery; and
• own the overall architecture and systems engineering for your products.

Ideal Candidate

• exceptional communication and organizational skills;
• experience recruiting for and building software engineering teams;
• the ability to inspire and motivate team members;
• a strong technical background in software engineering and architecture, and experience with modern programming languages and frameworks;
• 6+ years of software development experience; and
• 4+ years of experience managing software teams (as a Team Lead or a Manager) or similar experience as an individual contributor.

Level of skills and experience:

5 years of hands-on experience in using Python, Spark,Sql.

Experienced in AWS Cloud usage and management.

Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).

Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.

Experience with orchestrators such as Airflow and Kubeflow.

Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).

Fundamental understanding of Parquet, Delta Lake and other data file formats.

Proficiency on an IaC tool such as Terraform, CDK or CloudFormation.

Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

Job Summary:

We are seeking a skilled Senior Tableau Developer to join our data team. In this role, you will design and build interactive dashboards, collaborate with data teams to deliver impactful insights, and optimize data pipelines using Airflow. If you are passionate about data visualization, process automation, and driving business decisions through analytics, we want to hear from you.

Key Responsibilities:

• Develop and maintain dynamic Tableau dashboards and visualizations to provide actionable business insights.
• Partner with data teams to gather reporting requirements and translate them into effective data solutions.
• Ensure data accuracy by integrating various data sources and optimizing data pipelines.
• Utilize Airflow for task orchestration, workflow scheduling, and monitoring.
• Enhance dashboard performance by streamlining data processing and improving query efficiency.

Requirements:

• 5+ years of hands-on experience in Tableau development.
• Proficiency in Airflow for building and automating data pipelines.
• Strong skills in data transformation, ETL processes, and data modeling.
• Solid understanding of SQL and database management.
• Excellent problem-solving skills and the ability to work collaboratively across teams.

Nice to Have:

• Experience with cloud platforms like AWS, GCP, or Azure.
• Familiarity with programming languages such as Python or R.

Why Join Us?

• Work on impactful data projects with a talented and collaborative team.
• Opportunity to innovate and shape data visualization strategies.
• Competitive compensation and professional growth opportunities

Role & Responsibilities

Design, develop, and implement high-quality software solutions for payment processing.

Maintain a regular release cadence and manage the product backlog.

Ensure timely and lossless communication across teams.

Uphold engineering values and best practices.

Collaborate with international teams to ensure successful product development and delivery.

Ideal Candidate

A strong technical background in software engineering and architecture, with experience in modern programming language

Ability to work independently with very little direction, taking full ownership of projects.

Identifying blind spots, anticipate challenges, and prioritize work effectively

Exceptional communication and organizational skills.

A Bachelor's degree in Computer Science, Engineering, or equivalent experience.

8+ years of relevant experience preferred

Proficiency using Python, Kafka, Kubernetes, and AWS

Experience with Distributed Task Queues such as Celery and RabbitMQ is preferred.

Experience with RDBMS/SQL is also preferred.

Responsibilities

• Design and implement advanced solutions utilizing Large Language Models (LLMs).
• Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
• Conduct research and stay informed about the latest developments in generative AI and LLMs.
• Develop and maintain code libraries, tools, and frameworks to support generative AI development.
• Participate in code reviews and contribute to maintaining high code quality standards.
• Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
• Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
• Possess strong analytical and problem-solving skills.
• Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Primary Skills

• Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
• Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and Huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
• Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
• Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
• Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.

About Us

Binocs.co empowers institutional lenders with next-generation loan management software, streamlining the entire loan lifecycle and facilitating seamless interaction among stakeholders.

Team: Binocs.co is led by a passionate team with extensive experience in financial technology, lending, AI, and software development.

Investors: Our journey is backed by renowned investors who share our vision for transforming the loan management landscape: Beenext, Arkam Ventures, Accel, Saison Capital, Blume Ventures, Premji Invest, and Better Capital.

What we're looking for

We seek a motivated, talented, and intelligent individual who shares our vision of being a changemaker. We value individuals dissatisfied with the status quo, strive to make improvements, and envision making significant contributions. We look for those who embrace challenges and dedicate themselves to solutions. We seek individuals who push for data-driven decisions, are unconstrained by titles, and value collaboration. We are building a fast-paced team to shape various business and technology aspects.

Responsibilities

• Be a part of the initial team to define and set up a best-in-class digital platform for the Private Credit industry, and take full ownership of the components of the digital platform
• You will build robust and scalable web-based applications and need to think of platforms & reuse
• Driving and active contribution to High-Level Designs(HLDs) and Low-Level Designs (LLDs).
• Collaborate with frontend developers, product managers, and other stakeholders to understand requirements and translate them into technical specifications.
• Mentor team members in adopting effective coding practices. Conduct comprehensive code reviews, focusing on both functional and non-functional aspects.
• Ensure the security, performance, and reliability of backend systems through proper testing, monitoring, and optimization.
• Participate in code reviews, sprint planning, and agile development processes to maintain code quality and project timelines.
• Simply, be an owner of the platform and do whatever it takes to get the required output for customers
• Be curious about product problems and have an open mind to dive into new domains eg: gen-AI.
• Stay up-to-date with the latest development trends, tools, and technologies.

Qualifications

• experience in backend development
• Proficiency in at least one backend programming language (e.g.,Python, Golang, Node.js, Java) & tech stack to write maintainable, scalable, unit-tested code.
• Good understanding of databases (e.g. MySQL, PostgreSQL) and NoSQL (e.g. MongoDB, Elasticsearch, etc)
• Solid understanding of RESTful API design principles and best practices.
• Experience with multi-threading and concurrency programming
• Extensive experience in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive module and class-level interfaces.
• Experience of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud Platform)
• Knowledge of Test Driven Development

Good to have

• Experience with microservices architecture
• Knowledge of serverless computing and event-driven architectures (e.g., AWS Lambda, Azure Functions)
• Understanding of DevOps practices and tools for continuous integration and deployment (CI/CD).
• Contributions to open-source projects or active participation in developer communities.
• Experience working LLMs and AI technologies

Required Skills and Qualifications:

• Proficiency in AWS Cloud services
• Strong experience with SQL for data manipulation and analysis.
• Hands-on programming experience in Python or pyspark.
• Working knowledge of Snowflake, including data modeling, performance tuning, and security configurations.
• Familiarity with CI/CD pipelines and version control (e.g., Git) is a plus.
• Excellent problem-solving and communication skills.

Note : one face-to-face (F2F) round is mandatory, and as per the process, you will need to visit the office for this.

Job Title : Principal Software Architect – AI/ML & Product Innovation

Location : Bangalore, Karnataka & Trichy, Tamilnadu, India (No remote work available)

Company : Zybisys Consulting Services LLP

Reports To : CEO

Job Type : Full-Time

Experience Required: Minimum of 10+ years in software development, with at least 5 years in software architect role.

About Us:

At Zybisys, we’re not just another cloud hosting and software development company—we’re all about pushing boundaries in the FinTech world. We don’t just solve problems; we rethink how businesses operate, making things smoother, smarter, and more efficient. Our tech helps FinTech companies stay ahead in the digital game with confidence and flexibility.

Innovation is in our DNA, and we’re always on the lookout for bold thinkers who can tackle big challenges with creativity and precision. At Zybisys, we believe in growing together, nurturing talent, and building a future where technology transforms the way FinTech works.

Role Overview:

We're looking for a Principal Software Architect who’s passionate about AI/ML and product innovation. In this role, you’ll be at the forefront of designing and building smart, AI-driven solutions that tackle complex business challenges. You’ll work closely with teams across product, development, and research to shape our tech strategy and ensure everything aligns with our next-gen platform. If you love pushing the boundaries of technology and driving real innovation, this is the role for you!

Key Responsibilities:

• Architect & Design: Architect, design, and develop large-scale distributed cloud services and solutions with a focus on AI/ML, high availability, scalability, and robustness. Design scalable and efficient solutions, considering factors such as performance, security, and cost-effectiveness.
• AI/ML Integration: Spearhead the application of AI/ML in solving business problems at scale. Stay at the forefront of AI/ML technologies, trends, and industry standards to provide cutting-edge solutions
• Product Roadmap : Work closely with Product Management to set the technical product roadmap, definition, and direction. Analyze the current technology landscape and identify opportunities for improvement and innovation.
• Technology Evaluation: Evaluate different programming languages and frameworks to determine the most suitable ones for project requirements
• Component Design: Develop and oversee the creation of modular software components that can be reused and adapted across different projects.
• UI/UX Collaboration: Work closely with design teams to craft intuitive and engaging user interfaces and experiences.
• Project Oversight: Oversee projects from initiation to completion, creating project plans, defining objectives, and managing resources effectively
• Team Mentorship: Guide and inspire a team of engineers and designers, fostering a culture of continuous learning and improvement.
• Innovation & Ideation: Champion the generation of new ideas for product features, staying ahead of industry trends and customer needs.
• Research & Development: Leading initiatives that explore new technologies or methodologies.
• Strategic Planning: Participating in high-level decisions that shape the direction of products and services.
• Industry Influence: Representing the company in industry forums or partnerships with academic institutions.
• Open-Source Community Handling: Manage and contribute to the open-source community, fostering collaboration, sharing knowledge, and ensuring adherence to open-source best practices.

Qualifications:

• Experience: Minimum of 10 years in software development, with at least 5 years in a scalable software architect role.
• Technical Expertise: Proficient in software architecture, AI/ML technologies, and UI/UX principles.
• Leadership Skills: Proven track record of mentoring teams and driving cross-functional collaboration.
• Innovative Mindset: Demonstrated ability to think creatively and introduce groundbreaking ideas.
• Communication: Excellent verbal and written skills, with the ability to engage effectively with both technical and non-technical stakeholders.
• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

What We Offer:

• A dynamic work environment where your ideas truly matter.
• Opportunities to attend and speak at industry conferences.
• Collaboration with cutting-edge technology and tools.
• A culture that values innovation, autonomy, and personal growth.

Responsibilities:

• Spearheaded building of the new transformation backend platform from 0 to 1
• Design the software for all its stakeholders - its end-users, developers, technical and product support, and DevOps.
• Evaluate technical/architectural options and tradeoffs.
• Implement proof-of-concepts. Hands-on.
• Create a solutions/design pattern library for similar problems and advocate for them.
• Provide technical leadership and guide development teams.
• Set up best practices for design, coding, testing, security, monitoring, and release management.
• Interface with cloud, and customers' technical teams.
• Measuring and constantly improving developer productivity.
• Work with product managers to build application extensibility into design.
• Occasional project management is when a project is more technical-focused.
• Occasional people management in the absence of other senior leaders.

Requirements:

• Experience in backend multiple stacks like Python, Golang, and Node.
• Proven experience with full development life cycle for large-scale software products.
• Clear communication, decision-making, understanding, and explaining trade-offs.
• Engineering best practices - code quality, testability, security, and release management.
• Good knowledge of performance, scalability, software architecture, and networking.
• Capacity to think in abstract and also obsess about details.
• Experience designing microservices architecture.
• Strong bent on engineering culture and focused on improving the developer experience.
• Self-managed and motivated.
• Capacity to break complex problems and work on abstract problems.