50+ Python Jobs in India

MANDATORY CRITERIA:

• Education: B.Tech / M.Tech in ECE / CSE / IT
• Experience: 10–12 years in hardware board design, system hardware engineering, and full product deployment cycles
• Proven expertise in digital, analog, and power electronic circuit analysis & design
• Strong hands-on experience designing boards with SoCs, FPGAs, CPLDs, and MPSoC architectures
• Deep understanding of signal integrity, EMI/EMC, and high-speed design considerations
• Must have successfully completed at least two hardware product development cycles from high-level design to final deployment
• Ability to independently handle schematic design, design analysis (DC drop, SI), and cross-team design reviews
• Experience in sourcing & procurement of electronic components, PCBs, and mechanical parts for embedded/IoT/industrial hardware
• Strong experience in board bring-up, debugging, issue investigation, and cross-functional triage with firmware/software teams
• Expertise in hardware validation, test planning, test execution, equipment selection, debugging, and report preparation
• Proficiency in Cadence Allegro or Altium EDA tools (mandatory)
• Experience coordinating with layout, mechanical, SI, EMC, manufacturing, and supply chain teams
• Strong understanding of manufacturing services, production pricing models, supply chain, and logistics for electronics/electromechanical components

DESCRIPTION:

COMPANY OVERVIEW:

The company is a semiconductor and embedded system design company with a focus on Embedded, Turnkey ASICs, Mixed Signal IP, Semiconductor & Product Engineering and IoT solutions catering to Aerospace & Defence, Consumer Electronics, Automotive, Medical and Networking & Telecommunications.

REQUIRED SKILLS:

• Extensive experience in hardware board designs and towards multiple product field deployment cycles.
• Strong foundation and expertise in analyzing digital, Analog and power electronic circuits.
• Proficient with SoC, FPGAs, CPLD and MPSOC architecture-based board designs.
• Knowledgeable in signal integrity, EMI/EMC concepts for digital and power electronics.
• Completed at least two project from high-level design to final product level deployment.
• Capable of independently managing product’s schematic, design analysis DC Drop, Signal Integrity, and coordinating reviews with peer of layout, mechanical, SI, and EMC teams.
• Sourcing and procurement of electronic components, PCBs, and mechanical parts for cutting-edge IoT, embedded, and industrial product development.
• Experienced in board bring-up, issue investigation, and triage in collaboration with firmware and software teams.
• Skilled in preparing hardware design documentation, validation test planning, identifying necessary test equipment, test development, execution, debugging, and report preparation.
• Effective communication and interpersonal skills for collaborative work with cross-functional teams, including post-silicon bench validation, BIOS, and driver development/QA.
• Hands-on experience with Cadence Allegro/Altium EDA tools is essential.
• Familiarity with programming and scripting languages like Python and Perl, and experience in test automation is advantageous.
• Should have excellent exposure with coordination of Manufacturing Services, pricing model for production value supply chain & Logistics in electronics and electromechanical components domain.

MANDATORY CRITERIA:

• Education: B.Tech / M.Tech in ECE / CSE / IT
• Experience: 10–12 years in hardware board design, system hardware engineering, and full product deployment cycles
• Proven expertise in digital, analog, and power electronic circuit analysis & design
• Strong hands-on experience designing boards with SoCs, FPGAs, CPLDs, and MPSoC architectures
• Deep understanding of signal integrity, EMI/EMC, and high-speed design considerations
• Must have successfully completed at least two hardware product development cycles from high-level design to final deployment
• Ability to independently handle schematic design, design analysis (DC drop, SI), and cross-team design reviews
• Experience in sourcing & procurement of electronic components, PCBs, and mechanical parts for embedded/IoT/industrial hardware
• Strong experience in board bring-up, debugging, issue investigation, and cross-functional triage with firmware/software teams
• Expertise in hardware validation, test planning, test execution, equipment selection, debugging, and report preparation
• Proficiency in Cadence Allegro or Altium EDA tools (mandatory)
• Experience coordinating with layout, mechanical, SI, EMC, manufacturing, and supply chain teams
• Strong understanding of manufacturing services, production pricing models, supply chain, and logistics for electronics/electromechanical components

DESCRIPTION:

COMPANY OVERVIEW:

The company is a semiconductor and embedded system design company with a focus on Embedded, Turnkey ASICs, Mixed Signal IP, Semiconductor & Product Engineering and IoT solutions catering to Aerospace & Defence, Consumer Electronics, Automotive, Medical and Networking & Telecommunications.

REQUIRED SKILLS:

• Extensive experience in hardware board designs and towards multiple product field deployment cycles.
• Strong foundation and expertise in analyzing digital, Analog and power electronic circuits.
• Proficient with SoC, FPGAs, CPLD and MPSOC architecture-based board designs.
• Knowledgeable in signal integrity, EMI/EMC concepts for digital and power electronics.
• Completed at least two project from high-level design to final product level deployment.
• Capable of independently managing product’s schematic, design analysis DC Drop, Signal Integrity, and coordinating reviews with peer of layout, mechanical, SI, and EMC teams.
• Sourcing and procurement of electronic components, PCBs, and mechanical parts for cutting-edge IoT, embedded, and industrial product development.
• Experienced in board bring-up, issue investigation, and triage in collaboration with firmware and software teams.
• Skilled in preparing hardware design documentation, validation test planning, identifying necessary test equipment, test development, execution, debugging, and report preparation.
• Effective communication and interpersonal skills for collaborative work with cross-functional teams, including post-silicon bench validation, BIOS, and driver development/QA.
• Hands-on experience with Cadence Allegro/Altium EDA tools is essential.
• Familiarity with programming and scripting languages like Python and Perl, and experience in test automation is advantageous.
• Should have excellent exposure with coordination of Manufacturing Services, pricing model for production value supply chain & Logistics in electronics and electromechanical components domain.

Like us, you'll be deeply committed to delivering impactful outcomes for customers.

• 7+ years of demonstrated ability to develop resilient, high-performance, and scalable code tailored to application usage demands.
• Ability to lead by example with hands-on development while managing project timelines and deliverables. Experience in agile methodologies and practices, including sprint planning and execution, to drive team performance and project success.
• Deep expertise in Node.js, with experience in building and maintaining complex, production-grade RESTful APIs and backend services.
• Experience writing batch/cron jobs using Python and Shell scripting.
• Experience in web application development using JavaScript and JavaScript libraries.
• Have a basic understanding of Typescript, JavaScript, HTML, CSS, JSON and REST based applications.
• Experience/Familiarity with RDBMS and NoSQL Database technologies like MySQL, MongoDB, Redis, ElasticSearch and other similar databases.
• Understanding of code versioning tools such as Git.
• Understanding of building applications deployed on the cloud using Google cloud platform(GCP)or Amazon Web Services (AWS)
• Experienced in JS-based build/Package tools like Grunt, Gulp, Bower, Webpack.

OIP Insurtech is an innovative business technology company founded on the belief that one company can transform the insurance industry. Our mission is to deliver outstanding and forward-thinking tech solutions that redefine how insurance processes are managed. We provide a wide range of services, including full-cycle automation of insurance processes, software development, staff augmentation, and IT support.

We foster a safe, agile environment where every idea is valued and encouraged, making it an ideal place for developers passionate about building innovative solutions.

Job Overview:

We are looking for a skilled Python Developer to join our Insurtech team. You will be responsible for developing high-quality, scalable software solutions, collaborating with cross-functional teams, and contributing to the full software development lifecycle.

Key Responsibilities:

• Write clean, efficient, and maintainable Python code.
• Develop, test, and deploy desktop/web applications, APIs, or backend systems.
• Collaborate with product managers, designers, and other developers to understand requirements and deliver solutions.
• Troubleshoot, debug, and optimize existing applications.
• Maintain code quality through code reviews, testing, and documentation.
• Stay up-to-date with Python frameworks, libraries, and best practices.

Required Skills and Qualifications:

• Strong proficiency in Python and its standard libraries.
• Experience with web frameworks such as Django, Flask, or FastAPI.
• Experience with data analysis/engineering principles.
• Familiarity with RESTful APIs, database systems (SQL/NoSQL), and ORM tools.
• Understanding of version control systems (Git).
• Knowledge of front-end technologies (HTML, CSS, JavaScript) is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.

Preferred Qualifications:

• Experience with cloud platforms (AWS, Azure, GCP).
• Knowledge of containerization tools like Docker or Kubernetes.
• Experience with testing frameworks (PyTest, Unittest).
• Understanding of Agile development methodologies.

Required Skills

• Minimum 3+yrs of experience in Python is mandatory.

• You are responsible for growing your team

• You take ownership of the product/service you are writing

• You are able to write clean, pragmatic, and testable code

• Comfortable with basic Unix commands (+ Shell scripting)

• Very Proficient in Git & GitHub

• Have a GitHub & StackOverflow profile

• Proficient in writing test-first code (a.k.a Writing testable code)

• You have to stick to the timeline of the sprint

• Must have worked on AWS.

Skills: Python 3.5+, Django 2.0 or higher or Flask, ORM (Django-ORM, SQL Alchemy), Celery, Redis/RabbitMQ, Elastic Search/Solr, Django Rest Framework, Graph QL, Pandas, NumPy, SciPy, Linux OS, GIT, DevOps, Docker, AWS,

knowledge on front end technologies is good to have (HTML5, CSS3, SASS/LESS, Object-Oriented Javascript, TypeScript).

Knowledge of Machine Learning/AI Concepts and Keen interest/exposure/experience in other languages (Golang, Elixir, Rust) is a huge plus.

Note: Salary will be offered based on your overall experience and last drawn salary.

Job Title: Python / Django Backend Developer

Experience: 3+ Years

Location: Gurgaon (Onsite)

Work Mode: 5 Days Working

About the Company

We are hiring for a product-based global furniture and homeware organization with operations in the UK and India. The company builds and maintains in-house digital platforms focused on design-to-delivery, supply-chain, and logistics. The team focuses on building scalable, high-performance internal systems.

Roles & Responsibilities

• Design, develop, and maintain RESTful APIs and backend services using Python & Django / Django REST Framework
• Build scalable, secure, and optimized database schemas and queries using PostgreSQL/MySQL
• Collaborate with frontend, product, and QA teams for end-to-end feature delivery
• Write clean, reusable, and testable code following best engineering practices
• Optimize application performance, reliability, and scalability
• Participate in code reviews, documentation, and CI/CD processes
• Deploy and manage backend services on cloud infrastructure and web servers

Required Skills & Qualifications

• Strong proficiency in Python and Django / Django REST Framework
• Solid understanding of relational databases (PostgreSQL/MySQL)
• Experience with REST API design, authentication & authorization
• Working knowledge of AWS services: EC2, ELB, S3, IAM, RDS
• Experience configuring and managing Nginx/Apache
• Familiarity with Git, Docker, and CI/CD workflows
• Strong problem-solving and debugging skills

Preferred Qualifications

• Experience with cloud platforms (AWS/GCP/Azure)
• Familiarity with microservices architecture
• Experience with Celery, RabbitMQ, Kafka
• Knowledge of testing frameworks (Pytest, unittest)
• Exposure to e-commerce platforms or high-traffic scalable systems

5+ yrs of experience in Cloud/DevOps roles.

 Strong hands-on experience with AWS architecture, operations & automation (70% focus).

Solid Kubernetes/EKS administration experience (30% focus).

IaC experience (Terraform preferred). 

Scripting (Python / Bash).

 CI/CD tools (Jenkins, GitLab, GitHub Actions). 

Experience working with BFSI or Managed Service projects is mandatory

About the company:

Aptroid Consulting (India) Pvt Ltd is a Web Development company focused on helping marketers transforms the customer experience increasing engagement and driving revenue, customer data to inform and drive it in every interaction in real time and with each individual behavior possibly.

About the Role:

We are hiring for Senior Full Stack Developers to strengthen the LiveIntent engineering team. The role requires strong backend depth combined with solid frontend expertise to build and scale high-performance, data-intensive systems.

Candidates are expected to demonstrate excellent analytical and problem-solving skills, along with strong system design capabilities for large-scale, distributed applications. Prior experience in AdTech or similar high-throughput domains is highly desirable.

Required Skills & Experience:

• 7–12 years of hands-on experience in full-stack development
• Strong proficiency in Python with Django (ORM, REST APIs, performance tuning)
• Solid experience with Angular (modern versions, component architecture)
• Hands-on experience with Docker and Kubernetes in production environments
• Strong understanding of MySQL, including query optimization and schema design
• Experience using Datadog for monitoring, metrics, and observability
• Excellent analytical, problem-solving, and debugging skills
• Proven experience in system design for scalable, distributed systems

Good to Haves:

• Experience with Node.js
• Strong background in database schema design and data modeling
• Prior experience working in AdTech / MarTech / digital advertising platforms
• Exposure to event-driven systems, real-time data pipelines, or high-volume traffic systems
• Experience with CI/CD pipelines and cloud platforms (AWS)

Key Responsibilities:

• Design, develop, and maintain scalable full-stack applications using Python (Django) and Angular
• Build and optimize backend services handling large data volumes and high request throughput
• Design and implement RESTful APIs with a focus on performance, security, and reliability
• Lead and contribute to system design discussions covering scalability, fault tolerance, and observability
• Containerize applications using Docker and deploy/manage workloads on Kubernetes
• Design, optimize, and maintain MySQL database schemas, queries, and indexes
• Implement monitoring, logging, and alerting using Datadog •
• Perform deep debugging and root-cause analysis of complex production issues
• Collaborate with product, platform, and data teams to deliver business-critical features
• Mentor junior engineers and promote engineering best practices 

A modern work platform means a single source of truth for your desk and deskless employees alike, where everything they need is organized and easy to find.

MangoApps was designed to unify your employee experience by combining intranet, communication, collaboration, and training into one intuitive, mobile-accessible workspace.

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

AI/ML Engineer Responsibilities

• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Ensuring that algorithms generate accurate user recommendations.
• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning processes.
• Keeping abreast of developments in machine learning.
• 
  

AI/ML Engineer Requirements

• Bachelor's degree in computer science, data science, mathematics, or a related field with at least 5+yrs of experience as an AI/ML Engineer
• Advanced proficiency with Python and FastAPI framework along with good exposure to libraries like scikit-learn, Pandas, NumPy etc..
• Experience in working on ChatGPT, LangChain (Must), Large Language Models (Good to have) & Knowledge Graphs
• Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.
• In-depth knowledge of mathematics, statistics, and algorithms.
• Superb analytical and problem-solving abilities.
• Great communication and collaboration skills.

Skills: fastapi,python,large language models,large language model,pandas,artificial intelligence,mathematics,machine learning,knowledge graphs,flask,python for data analysis,scikit-learn,langchain,algorithms,data science,chatgpt,numpy,statistics

Why work with us

1. We take delight in what we do, and it shows in the products we offer and ratings of our products by leading industry analysts like IDC, Forrester and Gartner OR independent sites like Capterra.
2. Be part of the team that has a great product-market fit, solving some of the most relevant communication and collaboration challenges faced by big and small organizations across the globe.
3. MangoApps is highly collaborative place and careers at MangoApps come with a lot of growth and learning opportunities. If you’re looking to make an impact, MangoApps is the place for you.
4. We focus on getting things done and know how to have fun while we do them. We have a team that brings creativity, energy, and excellence to every engagement.
5. A workplace that was listed as one of the top 51 Dream Companies to work for by World HRD Congress in 2019.
6. As a group, we are flat and treat everyone the same.

Benefits

We are a young organization and growing fast. Along with the fantastic workplace culture that helps you meet your career aspirations; we provide some comprehensive benefits.

1.     Comprehensive Health Insurance for Family (Including Parents) with no riders attached.

2.     Accident Insurance for each employee.

3.     Sponsored Trainings, Courses and Nano Degrees.

About You

·       Self-motivated: You can work with a minimum of supervision and be capable of strategically prioritizing multiple tasks in a proactive manner.

·       Driven: You are a driven team player, collaborator, and relationship builder whose infectious can-do attitude inspires others and encourages great performance in a fast-moving environment.

·       Entrepreneurial: You thrive in a fast-paced, changing environment and you’re excited by the chance to play a large role.

·       Passionate: You must be passionate about online collaboration and ensuring our clients are successful; we love seeing hunger and ambition.

·       Thrive in a start-up mentality with a “whatever it takes” attitude.

About the company:

We are Fluxon, a product development team founded by ex-Googlers and startup founders. We offer full-cycle software development: from ideation and design to build and go-to-market. We partner with visionary companies, ranging from fast-growing startups to tech leaders like Google and Stripe, to turn bold ideas into products with the power to transform the world. 

Qualifications:

• 7+ years of industry experience in software development
• Experience leading development through the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response
• Fluent in the design and implementation of scalable system architectures, data structures and algorithms, and effective development practices

About the role:

As a Staff Software Engineer at Fluxon, you'll drive the end-to-end delivery of products to market while learning, contributing, and growing in partnership with our leadership team

You'll be responsible for:

• Guiding project delivery all the way to the user, leading projects, building and iterating in a dynamic environment
• Partnering directly with clients to understand their needs, and achieve business goals
• Defining product requirements, identifying appropriate system designs and planning development in partnership with our Product and Design teams
• Supporting development of a healthy and effective engineering culture

You'll work with a diversity of technologies, including:

• Languages
• TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift
• Frameworks
• Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI
• Cloud Service Providers
• Google Cloud Platform, Amazon Web Services, Microsoft Azure
• Cloud Services
• Compute Engine, AWS Amplify, Fargate, Cloud Run
• Apache Kafka, SQS, GCP CMS
• S3, GCS
• Technologies
• AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign 
• Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface
• Databases
• Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase
• Redis, Memcache

What we offer:

• Exposure to high-profile SV startups and enterprise companies
• Competitive salary
• Fully remote work with flexible hours
• Flexible paid time off
• Profit-sharing program
• Healthcare
• Parental leave, including adoption and fostering
• Gym membership and tuition reimbursement
• Hands-on career development

Procedure is hiring for Drover.

This is not a DevOps/SRE/cloud-migration role — this is a hands-on backend engineering and architecture role where you build the platform powering our hardware at scale.

About Drover

Ranching is getting harder. Increased labor costs and a volatile climate are placing mounting pressure to provide for a growing population. Drover is empowering ranchers to efficiently and sustainably feed the world by making it cheaper and easier to manage livestock, unlock productivity gains, and reduce carbon footprint with rotational grazing. Not only is this a $46B opportunity, you'll be working on a climate solution with the potential for real, meaningful impact.

We use patent-pending low-voltage electrical muscle stimulation (EMS) to steer and contain cows, replacing the need for physical fences or electric shock. We are building something that has never been done before, and we have hundreds of ranches on our waitlist.

Drover is founded by Callum Taylor (ex-Harvard), who comes from 5 generations of ranching, and Samuel Aubin, both of whom grew up in Australian ranching towns and have an intricate understanding of the problem space. We are well-funded and supported by Workshop Ventures, a VC firm with experience in building unicorn IoT companies.

We're looking to assemble a team of exceptional talent with a high eagerness to dive headfirst into understanding the challenges and opportunities within ranching.

About The Role

As our founding cloud engineer, you will be responsible for building and scaling the infrastructure that powers our IoT platform, connecting thousands of devices across ranches nationwide.

Because we are an early-stage startup, you will have high levels of ownership in what you build. You will play a pivotal part in architecting our cloud infrastructure, building robust APIs, and ensuring our systems can scale reliably. We are looking for someone who is excited about solving complex technical challenges at the intersection of IoT, agriculture, and cloud computing.

What You'll Do

• Develop Drover IoT cloud architecture from the ground up (it’s a green field project)
• Design and implement services to support wearable devices, mobile app, and backend API
• Implement data processing and storage pipelines
• Create and maintain Infrastructure-as-Code
• Support the engineering team across all aspects of early-stage development -- after all, this is a startup

Requirements

• 5+ years of experience developing cloud architecture on AWS
• In-depth understanding of various AWS services, especially those related to IoT
• Expertise in cloud-hosted, event-driven, serverless architectures
• Expertise in programming languages suitable for AWS micro-services (eg: TypeScript, Python)
• Experience with networking and socket programming
• Experience with Kubernetes or similar orchestration platforms
• Experience with Infrastructure-as-Code tools (e.g., Terraform, AWS CDK)
• Familiarity with relational databases (PostgreSQL)
• Familiarity with Continuous Integration and Continuous Deployment (CI/CD)

Nice To Have

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field

Job Title: QA Automation Engineer

Key Responsibilities & Skills:

• Strong hands-on experience in Java automation testing
• Expertise in Selenium for web application automation
• Experience with BDD frameworks using Cucumber (feature files and step definitions)
• Hands-on experience in API automation using Rest Assured
• Working knowledge of Python automation scripting
• Experience with Robot Framework for test automation
• Ability to design, develop, and maintain scalable automation frameworks
• Experience in test execution, reporting, and defect tracking
• Strong analytical, problem-solving, and communication skills

Mode Employment – Fulltime and Permanent

Working Location: Bommasandra Industrial Area, Hosur Main Road, Bangalore

Working Days: 5 days

Working Model: Hybrid - 3 days WFO and 2 days Home

Position Overview

As the Lead Software Engineer in our Research & Innovation team, you’ll play a strategic role in establishing and driving the technical vision for industrial AI solutions. Working closely with the Lead AI Engineer, you will form a leadership tandem to define the roadmap for the team, cultivate an innovative culture, and ensure that projects are strategically aligned with the organization’s goals. Your leadership will be crucial in developing, mentoring, and empowering the team as we expand, helping create an environment where innovative ideas can translate seamlessly from research to industry-ready products.

Key Responsibilities:

• Define and drive the technical strategy for embedding AI into industrial automation products, with a focus on scalability, quality, and industry compliance.
• Lead the development of a collaborative, high-performing engineering team, mentoring junior engineers, automation experts, and researchers.
• Establish and oversee processes and standards for agile and DevOps practices, ensuring project alignment with strategic goals.
• Collaborate with stakeholders to align project goals, define priorities, and manage timelines, while driving innovative, research-based solutions.
• Act as a key decision-maker on technical issues, architecture, and system design, ensuring long-term maintainability and scalability of solutions.
• Ensure adherence to industry standards, certifications, and compliance, and advocate for industry best practices within the team.
• Stay updated on software engineering trends and AI applications in embedded systems, incorporating the latest advancements into the team’s strategic planning.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Extensive experience in software engineering, with a proven track record of leading technical teams, ideally in manufacturing or embedded systems.
• Strong expertise in Python and C++/Rust, Gitlab toolchains, and system architecture for embedded applications.
• Experience in DevOps, CI/CD, and agile methodologies, with an emphasis on setting and maintaining high standards across a team.
• Exceptional communication and collaboration skills in English.
• Willingness to travel as needed.

Preferred:

• Background in driving team culture, agile project management, and experience embedding AI in industrial products.
• Familiarity with sociocratic or consent-based management practices.
• Knowledge in embedded programming is an advantage.

About Sun King

Sun King is the world’s leading off-grid solar energy company, providing affordable solar solutions to the 1.8 billion people without reliable access to electricity. By combining product design, fintech, and field operations, Sun King has connected over 20 million homes to solar power across Africa and Asia, adding more than 200,000 new homes each month. Through ‘pay-as-you-go’ financing, customers make small payments to eventually own their solar systems, saving money and reducing reliance on harmful energy sources like kerosene.

Sun King employs 2,800 staff across 12 countries, with expertise in product design, data science, logistics, customer service, and more. The company is expanding its product range to include clean cooking, electric mobility, and entertainment solutions, all while supporting a diverse workforce — with women making up 44% of the team.

About the role:

The role involves designing, executing, and maintaining robust functional, regression, and integration testing to ensure product quality and reliability, along with thorough defect tracking, analysis, and resolution. The individual will develop and maintain UI and API automation frameworks to improve test coverage, minimize manual effort, and enhance release efficiency. Close collaboration with development teams is expected to reproduce issues, validate fixes, and ensure high-quality releases. The role also includes integrating automated tests into CI/CD pipelines, supporting production issue analysis, and verifying hotfixes in live environments. Additionally, the candidate will actively participate in requirement and design reviews to ensure testability and clarity, maintain comprehensive QA documentation, and continuously improve testing frameworks, tools, and overall QA processes.

What you will be expected to do:

• Design, execute, and maintain test cases, test plans, and test scripts for functional, regression, and integration testing.
• Identify software defects, document them clearly, and track them through to closure.
• Analyze bugs and provide detailed insights to help developers understand root causes.
• Partner closely with the development team to reproduce issues, validate fixes, and ensure overall product quality.
• Develop, maintain, and improve automated test suites (API/UI) to enhance test coverage, reduce manual effort, and improve release confidence.
• Work with CI/CD pipelines to integrate automated tests into the deployment workflow.
• Validate production issues, support troubleshooting, and verify hotfixes in real-time environments.
• Recommend improvements in product performance, usability, and reliability based on test findings.
• Participate in requirement and design reviews to ensure clarity, completeness, and testability.
• Benchmark against competitor products and suggest enhancements based on industry trends.
• Maintain detailed test documentation, including test results, defect logs, and release readiness assessments.
• Continuously improve QA processes, automation frameworks, and testing methodologies.

You might be a strong candidate if you have/are:

• Bachelor’s Degree in Computer Science, Information Technology, or a related field.
• 2+ years of hands-on experience in software testing (manual + exposure to automation).
• Strong understanding of QA methodologies, testing types, and best practices.
• Experience in designing and executing test cases, test plans, and regression suites.
• Exposure to automation tools/frameworks such as Selenium, Playwright, Cypress, TestNG, JUnit, or similar.
• Basic programming or scripting knowledge (Java/Python preferred).
• Good understanding of SQL for backend and data validation testing.
• Familiarity with API testing tools such as Postman or RestAssured.
• Experience with defect tracking and test management tools (Jira, TestRail, etc.).
• Strong analytical and debugging skills with the ability to identify root causes.
• Ability to work effectively in Agile/Scrum environments and partner with developers, product, and DevOps teams.
• Strong ownership mindset — having contributed to high-quality, near bug-free releases.

Good to have:

• Exceptional attention to detail and a strong focus on product quality.
• Experience with performance, load, or security testing (JMeter, Gatling, OWASP tools, etc.).
• Exposure to advanced automation frameworks or building automation scripts from scratch.
• Familiarity with CI/CD pipelines and integrating automated tests.
• Experience working with observability tools like Grafana, Kibana, and Prometheus for production verification.
• Good understanding of microservices, distributed systems, or cloud platforms.

What Sun King offers:

• Professional growth in a dynamic, rapidly expanding, high-social-impact industry
• An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet.
• A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
• Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.

Position: Lead Python Developer

Location: Ahmedabad

The Client company includes a team of experienced information services professionals who are

passionate about growing and enhancing the value of information services businesses. They provide

support with talent, technology, tools, infrastructure and expertise required to deliver across the Data ecosystem.

Position Summary

We are seeking a skilled and experienced Backend Developer with strong expertise in TypeScript, Python,

and web scraping. You will be responsible for designing, developing, and maintaining scalable backend services and APIs that power our data-driven products. Your role will involve collaborating with cross-

functional teams, optimizing system performance, ensuring data integrity, and contributing to the design of efficient and secure architectures.

Job Responsibility

● Design, develop, and maintain backend systems and services using Python and TypeScript.

● Develop and maintain web scraping solutions to extract, process, and manage large-scale data from multiple sources.

● Work with relational and non-relational databases, ensuring high availability, scalability, and performance.

● Implement authentication, authorization, and security best practices across services.

● Write clean, maintainable, and testable code following best practices and coding standards.

● Collaborate with frontend engineers, data engineers, and DevOps teams to deliver robust solutions and troubleshoot, debug, and upgrade existing applications.

● Stay updated with backend development trends, tools, and frameworks to continuously improve processes.

● Utilize core crawling experience to design efficient strategies for scraping the data from different websites and applications.

● Collaborate with technology teams, data collection teams to build end to end technology-enabled ecosystems and partner in research projects to analyze the massive data inputs.

● Responsible for the design and development of web crawlers, able to independently solve various problems encountered in the actual development process.

● Stay updated with the latest web scraping techniques, tools, and industry trends to continuously improve the scraping processes.

Job Requirements

● 4+ years of professional experience in backend development with TypeScript and Python.

● Strong understanding of TypeScript-based server-side frameworks (e.g., Node.js, NestJS, Express) and Python frameworks (e.g., FastAPI, Django, Flask).

● Experience with tools and libraries for web scraping (e.g., Scrapy, BeautifulSoup, Selenium, Puppeteer)

● Hands-on experience with Temporal for creating and orchestrating workflows.

● Proven hands-on experience in web scraping, including crawling, data extraction, deduplication, and handling dynamic websites.

● Proficient in implementing proxy solutions and handling bot-detection challenges (e.g., Cloudflare).

● Experience working with Docker, containerized deployments, and cloud environments (GCP or Azure).

● Proficiency with database systems such as MongoDB and ElasticSearch.

● Hands-on experience with designing and maintaining scalable APIs.

● Knowledge of software testing practices (unit, integration, end-to-end).

● Familiarity with CI/CD pipelines and version control systems (Git).

● Strong problem-solving skills, attention to detail, and ability to work in agile environments.

● Great communication skills and ability to navigate in undirected situations.

Job Exposure:

● Opportunity to apply creative methods in acquiring and filtering the North American government, agencies data from various websites, sources

● In depth industry exposure on data harvesting techniques to build, scale the robust and sustainable model, using open-source applications

● Effectively collaboration with IT team to design the tailor-made solutions basis upon clients’ requirement

● Unique opportunity to research on various agencies, vendors, products as well as technology tools to compose a solution

Design, build, and operate end-to-end web and API solutions (front end + back end) with strong automation, observability, and production reliability. You will own features from concept through deployment and steady state, including incident response and continuous improvement.

Key Responsibilities:

Engineering & Delivery

• Translate business requirements into technical designs, APIs, and data models.
• Develop back-end services using Java and Python, and front-end components using React / Angular / Vue (where applicable).
• Build REST / GraphQL APIs, batch jobs, streaming jobs, and system integration adapters.
• Write efficient SQL/NoSQL queries; optimize schemas, indexes, and data flows (ETL / CDC as needed).

Automation, CI/CD & Operations

• Automate builds, testing, packaging, and deployments using CI/CD pipelines.
• Create Linux shell and Python scripts for operational tasks, environment automation, and diagnostics.
• Manage configuration, feature flags, environment parity, and Infrastructure as Code (where applicable).

Reliability, Security & Quality

• Embed security best practices: authentication/authorization, input validation, secrets management, TLS.
• Implement unit, integration, contract, and performance tests with enforced quality gates.
• Add observability: structured logs, metrics, traces, health checks, dashboards, and alerts.
• Apply resilience patterns: retries, timeouts, circuit breakers, and graceful degradation.

Production Ownership

• Participate in on-call rotations, incident triage, RCA, and permanent fixes.
• Refactor legacy code and reduce technical debt with measurable impact.
• Maintain technical documentation, runbooks, and architecture decision records (ADRs).

Collaboration & Leadership

• Mentor peers and contribute to engineering standards and best practices.
• Work closely with Product, QA, Security, and Ops to balance scope, risk, and timelines.

Qualifications

Must Have

• Strong experience in Java (core concepts, concurrency, REST frameworks).
• Strong Python experience (services + scripting).
• Solid Linux skills with automation using shell/Python.
• Web services expertise: REST/JSON, API design, versioning, pagination, error handling.
• Databases: Relational (SQL tuning, transactions) plus exposure to NoSQL / caching (Redis).
• CI/CD tools: Git, pipelines, artifact management.
• Testing frameworks: JUnit, PyTest, API testing tools.
• Observability tools: Prometheus, Grafana, ELK, OpenTelemetry (or equivalents).
• Strong production support mindset with incident management, SLA/SLO awareness, and RCA experience.

Good to Have

• Messaging & streaming platforms: Kafka, MQ.
• Infrastructure as Code: Terraform, Ansible.
• Cloud exposure: AWS / Azure / GCP, including managed data services.
• Front-end experience with React / Angular / Vue and TypeScript.
• Deployment strategies: feature flags, canary, blue/green.
• Knowledge of cost optimization and capacity planning.

Key Performance Indicators (KPIs)

• Deployment frequency & change failure rate
• Mean Time to Detect (MTTD) & Mean Time to Recover (MTTR)
• API latency (p95) and availability vs SLOs
• Defect escape rate & automated test coverage
• Technical debt reduction (items resolved per quarter)
• Incident recurrence trend (continuous reduction)

Soft Skills

• End-to-end ownership mindset
• Data-driven decision making
• Bias for automation and simplification
• Proactive risk identification
• Clear, timely, and effective communication

About the Company – Bits In Glass

• 20+ years of industry experience
• Merged with Crochet Technologies in 2021 to form a larger global organization
• Offices in Pune, Hyderabad, and Chandigarh
• Top 30 global Pega partner and sponsor of PegaWorld
• Elite Appian Partner since 2008
• Operations across US, Canada, UK, and India
• Dedicated Global Pega Center of Excellence

Employee Benefits

• Career Growth: Clear advancement paths and learning opportunities
• Challenging Projects: Global, cutting-edge client work
• Global Exposure: Collaboration with international teams
• Flexible Work Arrangements: Work-life balance support
• Comprehensive Benefits: Competitive compensation, health insurance, paid time off
• Learning & Upskilling: AI-enabled Pega solutions, data engineering, integrations, cloud migration

Company Culture & Values

• Collaborative & Inclusive: Teamwork, innovation, and respect for diverse ideas
• Continuous Learning: Certifications and skill development encouraged
• Integrity: Ethical and transparent practices
• Excellence: High standards in delivery
• Client-Centricity: Tailored solutions with measurable impact

Job Description: 

Exp Range - [6y to 10y]

Qualifications:

• Minimum Bachelors Degree in Engineering or Computer Applications or AI/Data science
• Experience working in product companies/Startups for developing, validating, productionizing AI model in the recent projects in last 3 years.
• Prior experience in Python, Numpy, Scikit, Pandas, ETL/SQL, BI tools in previous roles preferred

Require Skills: 

• Must Have – Direct hands-on experience working in Python for scripting automation analysis and Orchestration
• Must Have – Experience working with ML Libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy etc.
• Must Have – Experience working with models such as Random forest, Kmeans clustering, BERT…
• Should Have – Exposure to querying warehouses and APIs
• Should Have – Experience with writing moderate to complex SQL queries
• Should Have – Experience analyzing and presenting data with BI tools or Excel
• Must Have – Very strong communication skills to work with technical and non technical stakeholders in a global environment

Roles and Responsibilities:

• Work with Business stakeholders, Business Analysts, Data Analysts to understand various data flows and usage.
• Analyse and present insights about the data and processes to Business Stakeholders
• Validate and test appropriate AI/ML models based on the prioritization and insights developed while working with the Business Stakeholders
• Develop and deploy customized models on Production data sets to generate analytical insights and predictions
• Participate in cross functional team meetings and provide estimates of work as well as progress in assigned tasks.
• Highlight risks and challenges to the relevant stakeholders so that work is delivered in a timely manner.
• Share knowledge and best practices with broader teams to make everyone aware and more productive.

Hiring for SRE Lead

Exp: 7 - 12 yrs

Work Location : Mumbai ( Kurla West )

WFO

Skills :

Proficient in cloud platforms (AWS, Azure, or GCP), containerization (Kubernetes/Docker), and Infrastructure as Code (Terraform, Ansible, or Puppet). 

Coding/Scripting: Strong programming or scripting skills in at least one language (e.g., Python, Go, Java) for automation and tooling development.

 System Knowledge: Deep understanding of Linux/Unix fundamentals, networking concepts, and distributed systems.

Mode Employment – Fulltime and Permanent

Working Location: Bommasandra Industrial Area, Hosur Main Road, Bangalore

Working Days: 5 days

Working Model: Hybrid - 3 days WFO and 2 days Home

Responsibilities

• Design, implement, and test embedded software for industrial automation products
• Collaborate within an agile team on industrial communication, cybersecurity, and closed-loop control projects
• Assist in developing and enhancing infrastructure for continuous integration and industrial Ethernet
• Integrate and reuse software components from the embedded platform
• Ensure software meets quality, performance, and functional standards
• Troubleshoot, test, and support embedded software throughout the development lifecycle

Qualification

•  Degree in Computer Science, Software Engineering, Electrical Engineering, or related field.
• Familiarity with electric and pneumatic systems and willingness to engage with them
• 5 to 8 years of experience in embedded systems and industrial communication software development
• Proficiency in object-oriented design, C++, Python for scripting and automation
• Knowledge of version control with Git, unit and integration testing, and troubleshooting embedded software
• Familiarity with ARM v7/v8 Cortex-M / Cortex-A microcontrollers and their ecosystems
• Understanding industrial communication protocols (EtherCAT, Profinet, Modbus, IO-Link) and controllers (SIEMENS, Beckhoff)
• Experience with modern development tools such as VS Code, LLVM, GitLab, CMake, and Conan Awareness of software development processes, architectural design principles, and quality best practice
• Excellent written and spoken English communication skills

Build robust testing automation frameworks that assure reliability across Jodo World’s omnichannel products — web, mobile, and real-time communication systems.

Key Responsibilities

• Design and maintain automation frameworks (Selenium, Appium, Cypress).
• Create regression, smoke, and performance suites.
• Integrate automated testing into CI/CD pipelines.
• Execute functional, UI, Mobile App, API, load, and security testing.
• Ensure 100 % traceability between requirements and test cases.

Required Skills & Experience

• 3–6 years in Test automation.
• Hands-on with Java, JavaScript/Python-based frameworks.
• Proficiency in JMeter or Playwright for performance testing.
• Familiar with mobile app and REST API testing.

What Success Looks Like

• 95 % automation coverage.
• Zero critical bugs post-release.

Why Join Us

Help deliver reliability for a global AI-powered communications platform — every test secures millions of user interactions.

Founding Engineer – RetainSure (Bengaluru)

Full-stack • Python/FastAPI • React • Postgres • AWS • Early-stage.

RetainSure is an AI Customer Success Manager that eliminates the need for CSMs for low-touch accounts and reduces headcount by 80% for high-touch teams. We integrate deeply across product, CRM, support, billing, and external signals to build a unified intelligence layer, and deploy specialized AI agents that behave like a human CSM across backstage, in-meeting, and in-product workflows.

We’re now hiring a Founding Engineer to join our core team and help build the next $100M+ AI infra layer for Customer Success.

What You’ll Own

• Architect and build core product components across backend, frontend, infrastructure, and data pipelines.
• Develop scalable services using Python, FastAPI, Postgres, and AWS-native components.
• Build high-quality user-facing experiences in React.
• Design, optimize, and maintain database schemas and high-throughput workflows.
• Work directly with the founders to define product, ship fast, and iterate with customers.
• Own modules end-to-end, from concept → architecture → implementation → monitoring.
• Set engineering standards, improve dev velocity, and lay the foundation for the engineering culture.

What We’re Looking For

Must-haves

• 2+ years of experience as a Full-Stack Engineer in high-velocity environments.
• Strong backend fundamentals: Python, FastAPI, SQL/Postgres, distributed systems basics.
• Solid frontend engineering with React.
• Strong grasp of DSA, algorithms, and database internals.
• Deep comfort with AWS (EC2, S3, Lambda, RDS, VPC, IAM, etc.).
• Bias toward action, ownership, and solving real customer problems.
• Ability to move fast without compromising code quality.

Cherry on Top

• Ambition to start your own company in the future: we love founders-in-the-making.
• Experience building large-scale SaaS systems, data platforms, or AI-driven workflows.
• Worked in early-stage startups or shipped 0→1 products before.

What You’ll Get

• Founding-level ESOPs with outsized ownership.
• Work with founders experienced in building/scaling SaaS (Rubrik, Mailmodo, ClearTax).
• High trust, zero bureaucracy, rapid execution environment.
• Opportunity to architect systems that will scale globally across enterprise customers.
• First-hand exposure to building and scaling a company from scratch.

Salary Range

15-18 LPA + founding engineer level ESOPs

Location

Bengaluru

Big companies are like giant boats with a thousand rowers — you can’t feel your pull move the boat. Shoppin isn’t that boat. We’re a 10-person crew rowing like our lives depend on it — each one the best at what they do, each stroke moving the product forward every single day. If you believe small, fast, obsessive teams can beat giants, read on.

What You’ll Do:

Build and optimize Shoppin’s vibe, image, and inspiration search, powering both text and image-based discovery.

Work on vector embeddings, retrieval pipelines, and semantic search using ElasticSearch, Redis caching, and LLM APIs.

Design and ship high-performance Python microservices that move fast and scale beautifully.

Experiment with prompt engineering, ranking models, and multimodal retrieval.

• Collaborate directly with the founder — moving from idea → prototype → production in hours, not weeks.

 Tech You’ll Work With

• Languages & Frameworks: Python, FastAPI
• Search & Infra: ElasticSearch, Redis, PostgreSQL
• AI Stack: Vector Databases, Embeddings, LLM APIs (OpenAI, Gemini, etc.)
• Dev Tools: Cursor, Docker, Kubernetes
• Infra: AWS / GCP

 What We’re Looking For

• Strong mathematical intuition — you understand cosine similarity, normalization, and ranking functions.
• Experience or deep curiosity in text + image search.
• Comfort with Python, data structures, and system design.
• Speed-obsessed — you optimize for velocity, not bureaucracy.
• Hungry to go all-in, ship hard things, and make a dent.

Bonus Points

• Experience with LLM prompting or orchestration.
• Exposure to recommendation systems, fashion/culture AI, or multimodal embeddings.
• You’ve built or scaled something end-to-end yourself.

About koolio.ai

Website: www.koolio.ai

Koolio Inc. is a cutting-edge Silicon Valley startup dedicated to transforming how stories are told through audio. Our mission is to democratize audio content creation by empowering individuals and businesses to effortlessly produce high-quality, professional-grade content. Leveraging AI and intuitive web-based tools, koolio.ai enables creators to craft, edit, and distribute audio content—from storytelling to educational materials, brand marketing, and beyond. We are passionate about helping people and organizations share their voices, fostering creativity, collaboration, and engaging storytelling for a wide range of use cases.

About the Internship Position

We are looking for a motivated full-time Software Development Intern to join our innovative team. As an intern at koolio.ai, you’ll have the opportunity to work on a next-gen AI-powered platform and gain hands-on experience developing and optimizing backend systems that power our platform. This internship is ideal for students or recent graduates who are passionate about backend technologies and eager to learn in a dynamic, fast-paced startup environment.

Key Responsibilities:

• Assist in the development and maintenance of backend systems and APIs.
• Write reusable, testable, and efficient code to support scalable web applications.
• Work with cloud services and server-side technologies to manage data and optimize performance.
• Collaborate with cross-functional teams to integrate frontend features with backend logic.
• Collaborate with the product and design teams to develop and implement user-friendly web interfaces
• Ensure responsive design and optimize web pages for performance and scalability across devices
• Debug and resolve issues, improving the overall user experience on the platform and ensuring reliability
• Assist in integrating APIs and frontend services with the backend
• Stay up-to-date with the latest trends and suggest improvements to enhance the platform’s functionality

Requirements and Skills:

• Education: Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field.
• Technical Skills:
• Good understanding of server-side technologies like Python
• Familiarity with REST APIs and database systems (e.g., MySQL, PostgreSQL, or NoSQL databases).
• Exposure to cloud platforms like AWS, Google Cloud, or Azure is a plus.
• Knowledge of version control systems such as Git.
• Strong proficiency in JavaScript frameworks like ReactJS or Redux
• Proficiency in frontend languages such as HTML, CSS, and JavaScript (ES6+)
• Soft Skills:
• Eagerness to learn and adapt in a fast-paced environment.
• Strong problem-solving and critical-thinking skills.
• Effective communication and teamwork capabilities.
• Other Skills: Familiarity with CI/CD pipelines and basic knowledge of containerization (e.g., Docker) is a bonus.

Why Join Us?

• Gain real-world experience working on a cutting-edge platform.
• Work alongside a talented and passionate team committed to innovation.
• Receive mentorship and guidance from industry experts.
• Opportunity to transition to a full-time role based on performance and company needs.

This internship is an excellent opportunity to kickstart your career in software development, build critical skills, and contribute to a product that has a real-world impact.

As a Senior Software Engineer, you’ll be responsible for building and maintaining high-performance web applications across the stack. You’ll collaborate with product managers, designers, and business stakeholders to translate complex business needs into reliable digital systems.

Key Responsibilities

• Design, build, and maintain scalable web applications end-to-end.
• Work closely with product and design teams to deliver user-centric, high-performance interfaces.
• Develop and optimize backend APIs, database queries, and integrations.
• Write clean, maintainable, and testable code following best practices.
• Mentor junior developers and contribute to team-wide tech decisions.

Requirements

• Experience: 5+ years of hands-on full-stack development experience.
• Backend: Proficiency in Python
• Frontend: Experience with React, Angular, or Vue.js.
• Database: Strong knowledge of SQL databases (MySQL, PostgreSQL, or Oracle).
• Communication: Comfortable in English or Hindi.
• Location: Bangalore, 5 days a week (Work from Office).
• Availability: Immediate joiners preferred.

Why Join Us

• Be part of a fast-growing global diamond brand backed by two industry leaders.
• Collaborate with a sharp, experienced tech and product team solving real-world business challenges.
• Work at the intersection of luxury, data, and innovation — building systems that directly impact global operations.

Salary: ₹3.5 LPA( Based on the performance)

Experience: 1–3 Years (ONLY FOR FEMALES)

We are looking for a Technical Trainer skilled in HTML, Java, Python, and AI to conduct technical trainer. The trainer will create learning materials, deliver sessions, assess student performance, and support learners throughout the training. Strong communication skills and the ability to explain technical concepts clearly are essential.

Position: Machine Learning Engineer 

Job Type: Full Time, Permanent 

Location : Baner, Pune 

We are looking for a visionary Machine Learning Engineer to bridge the gap between cutting-edge research and real-world applications. In this role, you won’t just be training models; you will be architecting the visual intelligence that powers our next generation of products. You will join a high-impact team dedicated to solving complex spatial and visual problems at scale. 

What You’ll Do 

• Architect & Innovate: Own the journey from research to production-ready computer vision pipelines. 
• Optimize Performance: Build high-speed deep learning models for real-time detection and recognition. 
• Lead with Data: Curate massive datasets and apply advanced engineering to maximize model accuracy. 
• Collaborate & Integrate: Partner with cross-functional teams to embed AI insights into core products. 
• Stay Ahead: Proactively prototype SOTA architectures to keep our solutions at the cutting edge. 
• 
  

What We’re Looking For 

• Expert in Python and OpenCV. You are framework-agnostic but a power user of PyTorch or TensorFlow. 
• 2–5 years of shipping ML products. You know how to move beyond research notebooks into scalable production code. 
• A problem solver obsessed with robust, explainable AI and clean, rigorous validation. 
• Strong mastery of the math behind CV—specifically geometry, linear algebra, and optimization. 

Objectives of this role

• Develop, test and maintain high-quality software using Python programming language.
• Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions.
• Collaborate with cross-functional teams to identify and solve complex problems.
• Write clean and reusable code that can be easily maintained and scaled.

Your tasks

• Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms.
• Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions.
• Debugging codes when required and troubleshooting any Python-related queries.
• Keep up to date with emerging trends and technologies in Python development. 

Required skills and qualifications

• 3+ years of experience as a Python Developer with a strong portfolio of projects.
• Hands on exp in angular 12+v
• Bachelor's degree in Computer Science, Software Engineering or a related field.
• In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.
• Experience with front-end development using HTML, CSS, and JavaScript.
• Familiarity with database technologies such as SQL and NoSQL.
• Excellent problem-solving ability with solid communication and collaboration skills.

Preferred skills and qualifications

• Experience with popular Python frameworks such as Django, Flask or Pyramid.
• Knowledge of Angular
• A working understanding of cloud platforms such as AWS, Google Cloud or Azure.
• Contributions to open-source Python projects or active involvement in the Python community.

We are seeking a Developer Team Lead who will own the technical execution, architecture, and delivery of Super AI’s core platforms and customer implementations. This role requires a hands-on leader who can guide full-stack and AI engineers, ensure high-quality code, and translate business and government requirements into scalable, secure, and production-ready systems.

The ideal candidate is equally comfortable writing code, reviewing architectures, mentoring developers, and collaborating with product, pre-sales, and leadership teams.

Job Details

- Job Title: Lead I - Data Engineering 

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 6-9 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Job Description

Job Title: Senior Data Engineer (Kafka & AWS)

Responsibilities:

• Develop and maintain real-time data pipelines using Apache Kafka (MSK or Confluent) and AWS services.
• Configure and manage Kafka connectors, ensuring seamless data flow and integration across systems.
• Demonstrate strong expertise in the Kafka ecosystem, including producers, consumers, brokers, topics, and schema registry.
• Design and implement scalable ETL/ELT workflows to efficiently process large volumes of data.
• Optimize data lake and data warehouse solutions using AWS services such as Lambda, S3, and Glue.
• Implement robust monitoring, testing, and observability practices to ensure reliability and performance of data platforms.
• Uphold data security, governance, and compliance standards across all data operations.

Requirements:

• Minimum of 5 years of experience in Data Engineering or related roles.
• Proven expertise with Apache Kafka and the AWS data stack (MSK, Glue, Lambda, S3, etc.).
• Proficient in coding with Python, SQL, and Java — with Java strongly preferred.
• Experience with Infrastructure-as-Code (IaC) tools (e.g., CloudFormation) and CI/CD pipelines.
• Excellent problem-solving, communication, and collaboration skills.
• Flexibility to write production-quality code in both Python and Java as required.

Skills: Aws, Kafka, Python

Must-Haves

Minimum of 5 years of experience in Data Engineering or related roles.

Proven expertise with Apache Kafka and the AWS data stack (MSK, Glue, Lambda, S3, etc.).

Proficient in coding with Python, SQL, and Java — with Java strongly preferred.

Experience with Infrastructure-as-Code (IaC) tools (e.g., CloudFormation) and CI/CD pipelines.

Excellent problem-solving, communication, and collaboration skills.

Flexibility to write production-quality code in both Python and Java as required.

Skills: Aws, Kafka, Python

Notice period - 0 to 15days only

An L2 Technical Support Engineer with Python knowledge is responsible for handling escalated, more complex technical issues that the Level 1 (L1) support team cannot resolve. Your primary goal is to perform deep-dive analysis, troubleshooting, and problem resolution to minimize customer downtime and ensure system stability.

Python is a key skill, used for scripting, automation, debugging, and data analysis in this role.

Key Responsibilities

• Advanced Troubleshooting & Incident Management:
• Serve as the escalation point for complex technical issues (often involving software bugs, system integrations, backend services, and APIs) that L1 support cannot resolve.
• Diagnose, analyze, and resolve problems, often requiring in-depth log analysis, code review, and database querying.
• Own the technical resolution of incidents end-to-end, adhering strictly to established Service Level Agreements (SLAs).
• Participate in on-call rotation for critical (P1) incident support outside of regular business hours.
• Python-Specific Tasks:
• Develop and maintain Python scripts for automation of repetitive support tasks, system health checks, and data manipulation.
• Use Python for debugging and troubleshooting by analyzing application code, API responses, or data pipeline issues.
• Write ad-hoc scripts to extract, analyze, or modify data in databases for diagnostic or resolution purposes.
• Potentially apply basic-to-intermediate code fixes in Python applications in collaboration with development teams.
• Collaboration and Escalation:
• Collaborate closely with L3 Support, Software Engineers, DevOps, and Product Teams to report bugs, propose permanent fixes, and provide comprehensive investigation details.
• Escalate issues that require significant product changes or deeper engineering expertise to the L3 team, providing clear, detailed documentation of all steps taken.
• Documentation and Process Improvement:
• Conduct Root Cause Analysis (RCA) for major incidents, documenting the cause, resolution, and preventative actions.
• Create and maintain a Knowledge Base (KB), runbooks, and Standard Operating Procedures (SOPs) for recurring issues to empower L1 and enable customer self-service.
• Proactively identify technical deficiencies in processes and systems and recommend improvements to enhance service quality.
• Customer Communication:
• Maintain professional, clear, and timely communication with customers, explaining complex technical issues and resolutions in an understandable manner.
• 
  

Required Technical Skills

• Programming/Scripting:
• Strong proficiency in Python (for scripting, automation, debugging, and data manipulation).
• Experience with other scripting languages like Bash or Shell
• Databases:
• Proficiency in SQL for complex querying, debugging data flow issues, and data extraction.
• Application/Web Technologies:
• Understanding of API concepts (RESTful/SOAP) and experience troubleshooting them using tools like Postman or curl.
• Knowledge of application architectures (e.g., microservices, SOA) is a plus.
• Monitoring & Tools:
• Experience with support ticketing systems (e.g., JIRA, ServiceNow).
• Familiarity with log aggregation and monitoring tools (Kibana, Splunk, ELK Stack, Grafana)

An L2 Technical Support Engineer with Python knowledge is responsible for handling escalated, more complex technical issues that the Level 1 (L1) support team cannot resolve. Your primary goal is to perform deep-dive analysis, troubleshooting, and problem resolution to minimize customer downtime and ensure system stability.

Python is a key skill, used for scripting, automation, debugging, and data analysis in this role.

Key Responsibilities

• Advanced Troubleshooting & Incident Management:
• Serve as the escalation point for complex technical issues (often involving software bugs, system integrations, backend services, and APIs) that L1 support cannot resolve.
• Diagnose, analyze, and resolve problems, often requiring in-depth log analysis, code review, and database querying.
• Own the technical resolution of incidents end-to-end, adhering strictly to established Service Level Agreements (SLAs).
• Participate in on-call rotation for critical (P1) incident support outside of regular business hours.
• Python-Specific Tasks:
• Develop and maintain Python scripts for automation of repetitive support tasks, system health checks, and data manipulation.
• Use Python for debugging and troubleshooting by analyzing application code, API responses, or data pipeline issues.
• Write ad-hoc scripts to extract, analyze, or modify data in databases for diagnostic or resolution purposes.
• Potentially apply basic-to-intermediate code fixes in Python applications in collaboration with development teams.
• Collaboration and Escalation:
• Collaborate closely with L3 Support, Software Engineers, DevOps, and Product Teams to report bugs, propose permanent fixes, and provide comprehensive investigation details.
• Escalate issues that require significant product changes or deeper engineering expertise to the L3 team, providing clear, detailed documentation of all steps taken.
• Documentation and Process Improvement:
• Conduct Root Cause Analysis (RCA) for major incidents, documenting the cause, resolution, and preventative actions.
• Create and maintain a Knowledge Base (KB), runbooks, and Standard Operating Procedures (SOPs) for recurring issues to empower L1 and enable customer self-service.
• Proactively identify technical deficiencies in processes and systems and recommend improvements to enhance service quality.
• Customer Communication:
• Maintain professional, clear, and timely communication with customers, explaining complex technical issues and resolutions in an understandable manner.
• 
  

Required Technical Skills

• Programming/Scripting:
• Strong proficiency in Python (for scripting, automation, debugging, and data manipulation).
• Experience with other scripting languages like Bash or Shell
• Databases:
• Proficiency in SQL for complex querying, debugging data flow issues, and data extraction.
• Application/Web Technologies:
• Understanding of API concepts (RESTful/SOAP) and experience troubleshooting them using tools like Postman or curl.
• Knowledge of application architectures (e.g., microservices, SOA) is a plus.
• Monitoring & Tools:
• Experience with support ticketing systems (e.g., JIRA, ServiceNow).
• Familiarity with log aggregation and monitoring tools (Kibana, Splunk, ELK Stack, Grafana)

Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines

OVERVIEW

We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.

The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.

CORE TECHNICAL REQUIREMENTS

Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.

Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.

CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.

Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.

PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.

Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.

WHAT YOU WILL OWN

Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.

Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.

VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.

Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.

Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.

Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.

WHAT SUCCESS LOOKS LIKE

Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.

ENGINEERING STANDARDS

Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.

Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.

Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.

Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.

CURRENT ENVIRONMENT

GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.

WHAT WE ARE LOOKING FOR

Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.

Calm Under Pressure: When production breaks, you diagnose methodically.

Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.

Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.

EDUCATION

University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data

OVERVIEW

We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.

The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.

SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.

Data Pipeline Design (Required): You build pipelines that handle real-world messiness gracefully. You understand idempotency, exactly-once semantics, backfill strategies, and incremental versus full recomputation tradeoffs. You design for failure—what happens when an upstream source is late, returns malformed data, or goes down entirely. Experience with workflow orchestration required: Airflow, Prefect, Dagster, or similar.

Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.

WHAT YOU WILL BUILD

Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.

Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.

Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.

Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.

Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.

DOMAIN EXPERIENCE

Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.

Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.

High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.

ENGINEERING STANDARDS

Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.

Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.

Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.

Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.

TECHNICAL ENVIRONMENT

PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.

WHAT WE ARE LOOKING FOR

Attention to Detail: You notice when something is slightly off and investigate rather than ignore.

Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.

Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.

Long-Term Orientation: You build systems you will maintain for years.

Communication: You document clearly, explain data issues to non-engineers, and surface problems early.

EDUCATION

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

TO APPLY

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

About the Role

Oneture Technologies is helping global clients on their digital transformation journey to build modern, scalable, and integrated digital platforms. To strengthen our Technology and Leadership capabilities, we are looking for an experienced Technical Lead who can drive solution design, mentor teams, and ensure high-quality delivery of large-scale systems.

As a Technical Lead, you will own the technical architecture, delivery execution, and team leadership across complex projects, while working closely with clients and internal stakeholders.

Key Responsibilities

• Design, develop, and maintain highly scalable and secure application systems
• Lead solution architecture, technical design, effort estimation, and delivery planning
• Drive the implementation of cloud-native solutions following best practices for security, scalability, and reliability
• Lead and manage a team of 5–10 engineers, ensuring adherence to engineering processes and quality standards
• Mentor junior developers and provide hands-on technical guidance on day-to-day work
• Own end-to-end technical delivery, including architecture, development, testing, and release
• Collaborate closely with clients and internal stakeholders; provide regular status updates and manage expectations
• Troubleshoot complex technical issues and propose robust, long-term solutions
• Establish strong engineering practices around test-driven development, CI/CD, and automated deployments
• Contribute to continuous improvement of engineering standards, tooling, and delivery processes

Required Experience & Qualifications

• 4–6+ years of hands-on experience with proven success in technical leadership roles
• Strong experience building and scaling large, complex, high-traffic platforms
• Demonstrated ability to handle high workload, performance-sensitive, and secure systems
• Bachelor’s degree (B.E. / B.Tech) in Computer Science or a related field from a reputed institute

Technical Expertise

• Proficiency in one or more backend programming languages such as GoLang, Java, Node.js, or Python
• Strong experience architecting and implementing solutions on AWS
• Hands-on experience with cloud architecture, scalability, and security best practices
• Experience with caching technologies such as Redis or Memcached
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
• Strong understanding of RESTful services, authentication mechanisms, data formats (JSON/XML), and SQL
• Experience with unit testing, functional testing, and CI/CD pipelines
• Solid understanding of system design, performance optimization, and release management
• Ability to think from a product and user-impact mindset

Good to Have

• AWS certifications (Solutions Architect / Professional / Specialty)
• Experience with observability tools (logging, monitoring, alerting)
• Exposure to distributed systems and microservices architecture
• Experience working in fast-paced, high-growth environments

Soft Skills & Leadership Qualities

• Strong ownership and accountability for technical outcomes
• Excellent communication and stakeholder management skills
• Ability to mentor, guide, and inspire engineering teams
• Comfortable working in a fast-paced, evolving environment
• Strong problem-solving and decision-making ability

Why Join Oneture?

• Work on large-scale, high-impact digital transformation projects
• Strong emphasis on engineering excellence and leadership growth
• Collaborative, learning-driven culture
• Opportunity to influence architecture and technology direction
• Exposure to modern cloud-native and scalable system design

SimplyFI is a fast-growing AI- and blockchain-powered product company transforming trade finance and banking through digital innovation. We build scalable, intelligent platforms that simplify complex financial workflows for enterprises and financial institutions.

We are looking for a Full Stack Tech Lead with strong expertise in ReactJS (primary) and solid working knowledge of Python (secondary) to join our team in Thane, Mumbai.

Role: Full Stack Tech Lead (ReactJS + Python)

Key Responsibilities:

• Design, develop, and maintain scalable full-stack applications, with ReactJS as the primary frontend technology
• Build and integrate backend services using Python (Flask / Django / FastAPI)
• Design and manage RESTful APIs for internal and external system integrations
• Collaborate on AI-driven product features and support machine-learning model integrations when required
• Work closely with DevOps teams to deploy, monitor, and optimize applications on AWS
• Ensure performance, scalability, security, and code quality across the application stack
• Collaborate with product managers, designers, and QA teams to deliver high-quality features
• Write clean, maintainable, and testable code following engineering best practices
• Participate in agile processes, including code reviews, sprint planning, and daily stand-ups

Required Skills & Qualifications:

• Strong hands-on experience with ReactJS, including hooks, state management, Redux, and API integrations
• Proficiency in backend development using Python (Flask, Django, or FastAPI)
• Solid understanding of RESTful API design and secure authentication mechanisms (OAuth2, JWT)
• Experience working with databases such as MySQL, PostgreSQL, and MongoDB
• Familiarity with microservices architecture and modern software design patterns
• Hands-on experience with Git, CI/CD pipelines, Docker, and Kubernetes
• Strong problem-solving, debugging, and performance optimization skills

Responsibilities :

• Design and develop user-friendly web interfaces using HTML, CSS, and JavaScript.
• Utilize modern frontend frameworks and libraries such as React, Angular, or Vue.js to build dynamic and responsive web applications.
• Develop and maintain server-side logic using programming languages such as Java, Python, Ruby, Node.js, or PHP.
• Build and manage APIs for seamless communication between the frontend and backend systems.
• Integrate third-party services and APIs to enhance application functionality.
• Implement CI/CD pipelines to automate testing, integration, and deployment processes.
• Monitor and optimize the performance of web applications to ensure a high-quality user experience.
• Stay up-to-date with emerging technologies and industry trends to continuously improve development processes and application performance.

Qualifications :

• Bachelors/master's in computer science or related subjects or hands-on experience demonstrating working understanding of software applications.
• Knowledge of building applications that can be deployed in a cloud environment or are cloud native applications.
• Strong expertise in building backend applications using Java/C#/Python with demonstrable experience in using frameworks such as Spring/Vertx/.Net/FastAPI.
• Deep understanding of enterprise design patterns, API development and integration and Test-Driven Development (TDD)
• Working knowledge in building applications that leverage databases such as PostgreSQL, MySQL, MongoDB, Neo4J or storage technologies such as AWS S3, Azure Blob Storage.
• Hands-on experience in building enterprise applications adhering to their needs of security and reliability.
• Hands-on experience building applications using one of the major cloud providers (AWS, Azure, GCP).
• Working knowledge of CI/CD tools for application integration and deployment.
• Working knowledge of using reliability tools to monitor the performance of the application.

Job Responsibilities:

• Develop features across multiple sub-modules within our applications, including collaboration in requirements definition, prototyping, design, coding, testing, debugging, effort estimation, and continuous quality improvement of the design & code and deployment.
• Design and implement new features, provide fixes/workarounds to bugs, and innovate in alternate solutions.
• Provide quick solutions to problems and take a feature/component through the entire life cycle, improving space–time performance and usability/reliability.
• Design, implement, and adhere to the overall architecture to fulfill the functional requirements through software components.
• Take accountability for the successful delivery of functionality or modules contributing to the overall product objective.
• Create consistent design specifications using flowcharts, class diagrams, Entity Relationship Diagrams (ERDs), and other visual techniques to convey the development approach to the lead developer and other stakeholders.
• Conduct source code walkthroughs, refactoring, and ensure adherence to documentation standards.
• Support troubleshooting efforts in production systems and fulfill support requests from developers.

Experience and Skills:

• Bachelor’s degree in Computer Science or similar technical discipline required; Master’s degree preferred.
• Strong experience as a software engineer with demonstrated success developing a variety of software systems and increasing responsibility in analysis, design, implementation, and deployment tasks with a reputed software product company.
• Hands-on experience in product development using Java 8, J2EE, Spring Boot, Spring MVC, JSF, REST API, JSON, SQL Server, PostgreSQL, Oracle, Redis Cache, Amber, JavaScript/jQuery.
• Good to have experience in Handlebars.js, Flyway, PrimeFaces.
• Experience developing data-driven applications utilizing major relational database engines (SQL Server, Oracle, DB2) including writing complex queries, stored procedures, and performing query optimization.
• Experience building web-based software systems with N-tier architectures, dynamic content, scalable solutions, and complex security implementations.
• Strong understanding of Design Patterns, system architecture, and configurations for enterprise web applications.
• Exposure to development environments such as Eclipse, GitHub/Bitbucket.
• Comfortable with source code management concepts (version control).
• Self-motivated, energetic, fast learner with excellent communication skills (interaction with remote teams required).
• Experience with Agile software development is a plus.

Travel: Based on business needs.

Location: Gurgaon

Job Title: Jira, Confluence, and Bitbucket Administrator

Location: Mumbai, India (candidate must be willing to attend onsite interviews in Malad, Mumbai)

Job Type: Full-time

Experience: 3–4 years (seeking immediate joiners or candidates available within 15–30 days and Local profiles are preferred)

Key Responsibilities:

·       Administer, configure, and maintain Jira, Confluence, and Bitbucket environments, ensuring optimal performance and reliability.

·       Work closely with cross-functional teams to gather requirements and deliver effective solutions using Atlassian tools

·       Implement and manage user access controls, roles, and permissions within Jira, Confluence, and Bitbucket.

·       Collaborate with development and project teams to gather requirements and provide solutions using Jira workflows and Confluence documentation.

·       Create and maintain custom scripts using Groovy for automation, improvements, and enhancements across the Atlassian suite.

·       Develop and implement project management features, dashboards, and reports to support various stakeholders.

·       Troubleshoot and resolve issues related to Jira, Confluence, and Bitbucket, providing timely support to users.

·       Conduct training sessions and workshops to inform users of best practices and new features in the Atlassian tools.

·       Stay up-to-date with new releases and features from Atlassian and evaluate their applicability to our processes.

Qualifications:

·       Bachelor's degree in Computer Science, Information Technology, or a related field.

·       3-4 years of experience in administering Jira, Confluence, and Bitbucket in a corporate environment.

·       Proficiency in Groovy scripting for customizing and automating Atlassian products.

·       Strong analytical and problem-solving skills.

·       Excellent communication and collaboration abilities.

·       Familiarity with Agile methodologies and project management principles.

·       Experience with other development tools and practices is a plus.

·       Required Skills

·       3-4 years of experience in administering Jira, Confluence, and Bitbucket in a corporate environment.

·       Proficiency in Groovy scripting for customizing and automating Atlassian products. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Familiarity with Agile methodologies and project management principles.

·       Experience with other development tools and practices is a plus.

We are seeking a motivated Data Analyst to support business operations by analyzing data, preparing reports, and delivering meaningful insights. The ideal candidate should be comfortable working with data, identifying patterns, and presenting findings in a clear and actionable way.

Key Responsibilities:

• Collect, clean, and organize data from internal and external sources
• Analyze large datasets to identify trends, patterns, and opportunities
• Prepare regular and ad-hoc reports for business stakeholders
• Create dashboards and visualizations using tools like Power BI or Tableau
• Work closely with cross-functional teams to understand data requirements
• Ensure data accuracy, consistency, and quality across reports
• Document data processes and analysis methods

Qualification

•  Bachelor’s or master’s degree in computer science, Electrical Engineering, Electronics, or related field

•  5 – 8 years of hands-on experience in Embedded Systems and AI/ML development

•  Strong programming proficiency in Python, C/C++, and embedded development

•  Practical experience with embedded ML frameworks such as TensorFlow Lite, ONNX Runtime, Edge Impulse, or similar

• Solid understanding of real-time embedded systems, microcontroller architectures, and communication protocols

•  Experience with model optimization techniques (quantization, pruning, hardware-specific acceleration) is a plus

•  Familiarity with edge hardware platforms such as ARM Cortex, STM32, ESP32, NVIDIA Jetson, or similar is desirable.

Your job Responsibilities :

•    Develop, optimize, and deploy machine learning models for embedded and edge devices

•   Ensure real-time performance, memory efficiency, and low-power operation of on-device AI solutions

•   Integrate ML algorithms with microcontrollers, embedded controllers, and edge computing platforms

•   Implement pipelines for model conversion, quantization, and hardware acceleration

•   Collaborate with software, controls, and hardware engineers to deliver production-grade embedded AI systems

•   Participate in prototyping, testing, benchmarking, and continuous improvement of embedded AI solutions

•   Work with the global research teams to translate concepts into scalable prototypes for industrial automation.

Flam is building AI Infrastructure for Brands in Immersive Advertising spanning across all channels viz. Digital, Broadcast TV, Retail, Communications, Print, OOH etc.

Vision

The Immersive & Interactive Layer for Every Screen & Surface

Flam aims to redefine how consumers interact with ads, content in every shape and form, retail aisles, live broadcasts and fan moments—turning content and interfaces into shoppable, shareable experiences that deliver measurable ROI.

Flam has raised a $14 million Series A round led by global technology investor RTP Global with participation from Dovetail and select others bringing the total funding to $22 million.

The next phase of growth is to accelerate R&D on its app-less GenAI infrastructure that lets brands create, publish and measure high-fidelity MR, 3D & Digital experiences in <300 ms on any smartphone—no app download required.

The same infra already powers advertising for Google, Samsung, Emirates and hundreds of global enterprises & agency powerhouses.

Key Focus Areas

Product Roadmap

• Upcoming releases include GenAI-driven 3D asset generation
• Democratising MR deployment at scale
• Enterprise Suite of Products across Industries
• Infrastructure for broadcasters and fan engagement

Geography

• Funds will support new enterprise pods in North America, Europe and the Middle East
• Deepening Asia operations

Partnerships

• Flam will expand its partner program for creative studios and global platforms
• Enabling Fortune 500 brands to move from pilot to rapid global roll-out

Role Overview

We’re looking for a Mobile Automation Engineer (Native iOS & Android) who can write and maintain automated test cases in Swift and Java for our native iOS and Android apps. You’ll help test Mixed Reality (MR) features, backend-integrated flows, and ensure app quality at scale. You’ll collaborate with product, development, and QA teams to enable fast, bug-free releases.

Key Responsibilities

• Write and maintain automation test cases in Swift (XCUITest) for iOS and Java (Espresso/UIAutomator) for Android.
• Build and evolve robust test suites for core app features, including MR interactions, media workflows, and camera/sensor integrations.
• Automate end-to-end flows that include backend APIs (authentication, media processing, analytics, etc.).
• Collaborate with developers to integrate automation into CI/CD pipelines (GitHub Actions, Bitrise).
• Perform regression, smoke, and exploratory testing across a wide range of devices and OS versions.
• Raise and track bugs with detailed reproduction steps and logs.

Required Qualifications

• 2–6 years of experience in mobile test automation.
• Strong programming experience with Java (for Android) and Swift (for iOS).
• Hands-on experience with Espresso, UIAutomator, and XCUITest.
• Proficient in testing REST APIs and using tools like Postman, Charles Proxy, etc.
• Experience working with CI/CD tools and device testing infrastructure such as Firebase Test Lab or BrowserStack.

Nice-to-Have (Bonus)

• Exposure to ARKit (iOS) or ARCore (Android).
• Basic understanding of graphics/rendering stacks such as OpenGL, Metal, or Vulkan.
• Experience testing camera, sensor, or motion-driven features.
• Background in early-stage startup environments or rapid product development cycles.

What We Offer

• Opportunity to work on a cutting-edge MR platform with a highly creative and driven team.
• Full ownership and autonomy of mobile automation strategy.
• Flexible remote work environment with a performance-driven culture.
• Competitive salary and ESOPs.
• A real chance to make an impact in the fast-evolving world of mobile Mixed Reality.

What You’ll Do:

We are looking for a Staff Software Engineer based in Pune, India who can master both DeepIntent’s data architectures and pharma research and analytics methodologies to make significant contributions to how health media is analyzed by our clients. This role requires an Engineer who not only understands DBA functions but also how they impact research objectives and can work with researchers and data scientists to achieve impactful results.  

This role will be in the Analytics Organization and will require integration and partnership with the Engineering Organization. The ideal candidate is a self-starter who is inquisitive who is not afraid to take on and learn from challenges and will constantly seek to improve the facets of the business they manage. The ideal candidate will also need to demonstrate the ability to collaborate and partner with others.  

• Serve as the Engineering interface between Analytics and Engineering teams.
• Develop and standardize all interface points for analysts to retrieve and analyze data with a focus on research methodologies and data-based decision-making.
• Optimize queries and data access efficiencies, serve as an expert in how to most efficiently attain desired data points.
• Build “mastered” versions of the data for Analytics-specific querying use cases.
• Help with data ETL, table performance optimization.
• Establish a formal data practice for the Analytics practice in conjunction with the rest of DeepIntent
• Build & operate scalable and robust data architectures.
• Interpret analytics methodology requirements and apply them to data architecture to create standardized queries and operations for use by analytics teams.
• Implement DataOps practices.
• Master existing and new Data Pipelines and develop appropriate queries to meet analytics-specific objectives.
• Collaborate with various business stakeholders, software engineers, machine learning engineers, and analysts.
• Operate between Engineers and Analysts to unify both practices for analytics insight creation.

Who You Are:

• 8+ years of experience in Tech Support (Specialised in Monitoring and maintaining Data pipeline).
• Adept in market research methodologies and using data to deliver representative insights.
• Inquisitive, curious, understands how to query complicated data sets, move and combine data between databases.
• Deep SQL experience is a must.
• Exceptional communication skills with the ability to collaborate and translate between technical and non-technical needs.
• English Language Fluency and proven success working with teams in the U.S.
• Experience in designing, developing and operating configurable Data pipelines serving high-volume and velocity data.
• Experience working with public clouds like GCP/AWS.
• Good understanding of software engineering, DataOps, and data architecture, Agile and DevOps methodologies.
• Experience building Data architectures that optimize performance and cost, whether the components are prepackaged or homegrown.
• Proficient with SQL, Python or JVM-based language, Bash.
• Experience with any of Apache open-source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc. 
• Ability to think big, take bets and innovate, dive deep, hire and develop the best talent, learn and be curious.

1. Skills: Gen AI, Machine learning Models, AWS/ Azure, redshift, Python, Apachi, Airflow, Devops, minimum 4-5years experience as Architect, should be from Data Engineering background.

• Strong hands-on background in data engineering, analytics, or data science.

• Expertise in building data platforms using:

o Cloud: AWS (Glue, S3, Redshift), Azure (Data Factory, Synapse), GCP (BigQuery,

Dataflow).

o Compute: Spark, Databricks, Flink.

o Data modelling: dimensional, relational, NoSQL, graph.

• Proficiency with Python, SQL, and data pipeline orchestration tools.

• Understanding of ML frameworks and tools: TensorFlow, PyTorch, Scikit-learn, MLflow, etc.

• Experience implementing MLOps, model deployment, monitoring, logging, and versioning.

• 8+ years of experience in data engineering, data science, or architecture roles.

• Experience designing enterprise-grade AI platforms.

• Certification in major cloud platforms (AWS/Azure/GCP).

• Experience with governance tooling (Collibra, Alation) and lineage systems

Job Description:

Required skills and qualifications

• 3+ years of experience as a Python Developer with a strong portfolio of projects.
• hands on exp in react.js
• Bachelor's degree in Computer Science, Software Engineering or a related field.
• In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.
• Experience with front-end development using Angular.js HTML, CSS, and JavaScript.
• Familiarity with database technologies such as SQL and NoSQL.
• Excellent problem-solving ability with solid communication and collaboration skills.

Preferred skills and qualifications

• Experience with popular Python frameworks such as Django, Flask or Pyramid.
• Knowledge of data science and machine learning concepts and tools.
• A working understanding of cloud platforms such as AWS, Google Cloud or Azure.
• Contributions to open-source Python projects or active involvement in the Python community.

About Impacto Digifin Technologies

Impacto Digifin Technologies enables enterprises to adopt digital transformation through intelligent, AI-powered solutions. Our platforms reduce manual work, improve accuracy, automate complex workflows, and ensure compliance—empowering organizations to operate with speed, clarity, and confidence.

We combine automation where it’s fastest with human oversight where it matters most. This hybrid approach ensures trust, reliability, and measurable efficiency across fintech and enterprise operations.

Role Overview

We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.

This role requires someone who can design, build, deploy, and optimize end-to-end voice AI pipelines, including speech-to-text, text-to-speech, real-time streaming voice interactions, voice-enabled AI applications, and voice-to-LLM integrations.

You will work across core ML/DL systems, voice models, predictive analytics, banking-domain AI applications, and emerging AGI-aligned frameworks. The ideal candidate is an applied engineer with strong fundamentals, the ability to prototype quickly, and the maturity to contribute to R&D when needed.

This role is collaborative, cross-functional, and hands-on.

Key Responsibilities

Voice AI Engineering

• Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
• Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
• Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
• Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
• Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
• Implement voice understanding modules, speech intent extraction, and context tracking.

Machine Learning & Deep Learning

• Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
• Train and fine-tune neural networks for text, speech, and multimodal tasks.
• Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
• Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

NLP, LLMs & GenAI

• Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
• Work with LLM architectures for text + voice workflows
• Build GenAI-based workflows and integrate models into production systems.
• Implement RAG pipelines and agent-based systems for complex automation.

Fintech & Banking AI

• Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
• Understand fintech data structures and constraints while designing AI models.

Engineering, Deployment & Collaboration

• Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
• Build robust APIs and services for voice and ML-based functionalities.
• Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
• Document systems and contribute to internal knowledge bases and R&D.

Security & Compliance

• Follow fundamental best practices for AI security, access control, and safe data handling.
• Awareness of financial compliance standards (plus, not mandatory).
• Follow internal guidelines on PII, audio data, and model privacy.

Primary Skills (Must-Have)

Core AI

• Machine Learning fundamentals
• Deep Learning architectures
• NLP pipelines and transformers
• LLM usage and integration
• GenAI development
• Voice AI (STT, TTS, VAD, real-time pipelines)
• Audio processing fundamentals
• Model building, tuning, and retraining
• RAG systems
• AI Agents (orchestration, multi-step reasoning)

Voice Engineering

• End-to-end voice application development
• Voice calling & telephony integration (framework-agnostic)
• Realtime STT ↔ LLM ↔ TTS interactive flows
• Voice chat system development
• Voice-to-AI model integration for automation

Fintech/Banking Awareness

• High-level understanding of fintech and banking AI use cases
• Data patterns in core banking analytics (advantageous)

Programming & Engineering

• Python (strong competency)
• Cloud deployment understanding (AWS/Azure/GCP)
• API development
• Data processing & pipeline creation

Secondary Skills (Good to Have)

• MLOps & CI/CD for ML systems
• Vector databases
• Prompt engineering
• Model monitoring & evaluation frameworks
• Microservices experience
• Basic UI integration understanding for voice/chat
• Research reading & benchmarking ability

Qualifications

• 2–3 years of practical experience in AI/ML/DL engineering.
• Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
• Proven hands-on experience building ML/DL/voice pipelines.
• Experience in fintech or data-intensive domains preferred.

Soft Skills

• Clear communication and requirement understanding
• Curiosity and research mindset
• Self-driven problem solving
• Ability to collaborate cross-functionally
• Strong ownership and delivery discipline
• Ability to explain complex AI concepts simply

Machine Learning Engineer | 3+ Years | Mumbai (Onsite)

Location: Ghansoli, Mumbai

Work Mode: Onsite | 5 days working

Notice Period: Immediate to 30 Days preferred

About the Role

We are hiring a Machine Learning Engineer with 3+ years of experience to build and deploy prediction, classification, and recommendation models. You’ll work on end-to-end ML pipelines and production-grade AI systems.

Must-Have Skills

• 3+ years of hands-on ML experience
• Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow / PyTorch)
• Experience with feature engineering, model training & evaluation
• Hands-on with Azure ML / Azure Storage / Azure Functions
• Knowledge of modern AI concepts (embeddings, transformers, LLMs)

Good to Have

• MLOps tools (MLflow, Docker, CI/CD)
• Time-series forecasting
• Model serving using FastAPI

Why Join Us?

• Work on real-world ML use cases
• Exposure to modern AI & LLM-based systems
• Collaborative engineering environment
• High ownership & learning opportunities

Exp: 7- 10 Years

CTC: up to 35 LPA

Skills:

• 6–10 years DevOps / SRE / Cloud Infrastructure experience
• Expert-level Kubernetes (networking, security, scaling, controllers)
• Terraform Infrastructure-as-Code mastery
• Hands-on Kafka production experience
• AWS cloud architecture and networking expertise
• Strong scripting in Python, Go, or Bash
• GitOps and CI/CD tooling experience

Key Responsibilities:

• Design highly available, secure cloud infrastructure supporting distributed microservices at scale
• Lead multi-cluster Kubernetes strategy optimized for GPU and multi-tenant workloads
• Implement Infrastructure-as-Code using Terraform across full infrastructure lifecycle
• Optimize Kafka-based data pipelines for throughput, fault tolerance, and low latency
• Deliver zero-downtime CI/CD pipelines using GitOps-driven deployment models
• Establish SRE practices with SLOs, p95 and p99 monitoring, and FinOps discipline
• Ensure production-ready disaster recovery and business continuity testing

If interested Kindly share your updated resume at 82008 31681

Job Description

Role: Data Analyst

Experience: 6 - 9 Years

Location: Hyderabad

WorkMode: Work from Office (5 Days)

Overview

We are seeking a highly skilled Data Analyst with 6+ years of experience in analytics, data modeling, and advanced SQL. The ideal candidate has strong expertise in building scalable data models using dbt, writing efficient Python scripts, and delivering high-quality insights that support data-driven decision-making.

Key Responsibilities

Design, develop, and maintain data models using dbt (Core and dbt Cloud).

Build and optimize complex SQL queries to support reporting, analytics, and data pipelines.

Write Python scripts for data transformation, automation, and analytics workflows.

Ensure data quality, integrity, and consistency across multiple data sources.

Collaborate with cross-functional teams (Engineering, Product, Business) to understand data needs.

Develop dashboards and reports to visualize insights (using tools such as Tableau, Looker, or Power BI).

Perform deep-dive exploratory analysis to identify trends, patterns, and business opportunities.

Document data models, pipelines, and processes.

Contribute to scaling the analytics stack and improving data architecture.

Required Qualifications

6 - 9 years of hands-on experience in data analytics or data engineering.

Expert-level skills in SQL (complex joins, window functions, performance tuning).

Strong experience building and maintaining dbt data models.

Proficiency in Python for data manipulation, scripting, and automation.

Solid understanding of data warehousing concepts (e.g., dimensional modeling, ELT/ETL pipelines).

Understanding with cloud data platforms (Snowflake, BigQuery, Redshift, etc.).

Strong analytical thinking and problem-solving skills.

Excellent communication skills with the ability to present insights to stakeholders.

Trino and lakehouse architecture experience good to have

Role Description

This is a full-time on-site role in Bengaluru for a Full Stack Python Developer at Euphoric Thought Technologies Pvt. Ltd. The developer will be responsible for back-end and front-end web development, software development, full-stack development, and using Cascading Style Sheets (CSS) to build effective and efficient applications.

Qualifications

• Back-End Web Development and Full-Stack Development skills
• Front-End Development and Software Development skills
• Proficiency in Cascading Style Sheets (CSS)
• Experience with Python, Django, and Flask frameworks
• Strong problem-solving and analytical skills
• Ability to work collaboratively in a team environment
• Bachelor's or Master's degree in Computer Science or relevant field
• Agile Methodologies: Proven experience working in agile teams, demonstrating the application of agile principles with lean thinking.
• Front end - React.js
• Data Engineering: Useful experience blending data engineering with core software engineering.
• Additional Programming Skills: Desirable experience with other programming languages (C++, .NET) and frameworks.
• CI/CD Tools: Familiarity with Github Actions is a plus.
• Cloud Platforms: Experience with cloud platforms (e.g., Azure, AWS,) and containerization technologies (e.g., Docker, Kubernetes).
• Code Optimization: Proficient in profiling and optimizing Python code.

We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and

a deep interest in scalable, low-latency systems.

Key Responsibilities

• Develop, maintain, and optimize backend applications using Python.

• Build and integrate RESTful APIs and microservices.

• Work with relational and NoSQL databases for data storage, retrieval, and optimization.

• Write clean, efficient, and reusable code while following best practices.

• Collaborate with cross-functional teams (frontend, QA, DevOps) to deliver high quality features.

• Participate in code reviews to maintain high coding standards.

• Troubleshoot, debug, and upgrade existing applications.

• Ensure application security, performance, and scalability.

Required Skills & Qualifications:

• 2–4 years of hands-on experience in Python development.

• Strong command over Python frameworks such as Django, Flask, or FastAPI.

• Solid understanding of Object-Oriented Programming (OOP) principles.

• Experience working with databases such as PostgreSQL, MySQL, or MongoDB.

• Proficiency in writing and consuming REST APIs.

• Familiarity with Git and version control workflows.

• Experience with unit testing and frameworks like PyTest or Unittest.

• Knowledge of containerization (Docker) is a plus.