50+ Data Structures Jobs in India

About the Role

We are looking for a passionate and skilled Java Developer to join our development team. The ideal candidate will be responsible for designing, developing, and maintaining high-performance, scalable, and secure backend services and applications.

Key Responsibilities

• Design, develop, and maintain applications using Java, Spring Boot, Microservices, and REST APIs.
• Work closely with cross-functional teams to define and deliver new features and enhancements.
• Write clean, maintainable, and efficient code following best coding practices.
• Implement object-oriented design principles and build robust, scalable architectures.
• Develop and optimize SQL queries and ensure seamless integration with MySQL/Oracle databases.
• Perform unit testing, integration testing, and participate in code reviews to maintain quality.
• Troubleshoot, debug, and resolve application issues in a timely manner.
• Maintain proper documentation of design, architecture, and implementation details.
• Participate actively in Agile/Scrum development processes.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3–6 years of hands-on experience in Java development.
• Strong expertise in Spring Boot, Microservices, and RESTful API development.
• Good understanding of OOPs concepts, Data Structures, Algorithms, and Java Streams.
• Proficiency in SQL with working experience on MySQL and Oracle databases.
• Familiarity with version control tools (e.g., Git) and build tools like Maven/Gradle.
• Excellent analytical, problem-solving, and debugging skills.
• Strong communication and teamwork abilities.

Good to Have (Optional)

• Exposure to cloud environments (AWS, Azure, or GCP).
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with containerization tools (Docker, Kubernetes).

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 2–4 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 1-2 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Responsibilities

● Be part of a cross-functional team to work on continuous improvement of our systems with innovative technologies

● Collaborate closely with the team to deliver features from requirements and analysis through development into production

● Work with Product Managers to clarify and prioritize work

● Work with QA Engineers to maintain and improve quality

● Work with DevOps engineers to support operational and troubleshooting work

● Keep up to date with the latest technologies and evaluate new tools

● Define and use best practices to deliver new features effectively while improving the quality of existing systems

Experience and Qualifications

● Solid experience with Java and Spring Boot (Core/MVC/Data/Security)

● REST principles and hands-on experience with at least one framework

● Experience with SQL, Git, Maven/Gradle, JPA, and Design Patterns

● At least 5 years of professional software development experience

● Experience with distributed systems

● Ability to work with PM, Engineering and DevOps as equal partners throughout the full feature lifecycle

● Ability to write good quality and secure code; familiarity with static code analysis tools is preferred

● Experience with the AWS suite of cloud development tools

● Excellent analytical, conceptual, and communication skills in spoken and written English

Great to have Experience and Qualifications

● Experience in Kotlin

● Experience building distributed computing and enterprise-wide systems

● Experience with Docker, microservices architecture (hands on), Spring Cloud, Redis, or Python

● PCI experience

● Experience with Machine Learning, Deep Learning, or Computer Vision algorithms, either developing or using them

JOB DESCRIPTION

Experience: 10+ years

Wissen Technology is now hiring for a Senior Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. - 10+ years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI

● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.

● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data

● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics

● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics

● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems

● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes

● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions

● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.

Qualifications & Skills

● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus

● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects

● Proficiency in programming languages commonly used for AI/ML. Preferably Python

● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.

● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.

● Strong understanding of machine learning algorithms, statistics, and data structures

● Experience with data preprocessing, data wrangling, and feature engineering

● Knowledge of deep learning architectures, neural networks, and transfer learning

● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment

● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code

● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions

● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Eligibility:

• Only IIT / NIT graduates
• Immediate joiners preferred

Mandatory Skills:

• Strong experience in Core Java
• Spring Boot & Microservices
• REST APIs
• SQL / Relational Databases
• Data Structures & Algorithms
• Strong problem-solving skills
• Experience in designing scalable backend applications

Good to Have:

• Cloud (AWS/Azure/GCP)
• Kafka / Messaging Systems
• Docker & Kubernetes

Interested candidates who meet the above criteria can share their updated resume along with:

• Total Experience
• Current CTC
• Expected CTC
• Notice Period
• Current Location

About PGAGI:

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

About the Role

We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.

You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.

Key Responsibilities

AI / ML ENGINEERING

Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.

Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.

BACKEND ENGINEERING

Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.

Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.

VERSION CONTROL & COLLABORATION

Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.

Duration & Compensation

Duration: 6 Months

Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance

Perks & Benefits

Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.

Selection Process

Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead

Requirements

MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.

GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.

SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.

TECH YOU'LL WORK WITH

Python

Next.js

Node.js

FastAPI

LLMs / NLP

PostgreSQL

React

Docker

HuggingFace

OpenAI API

GitHub

REST / GraphQL

Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Experience: 4-8 years

Required Skills:

• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Role Objective

As a Team Lead – AI/LLM Engineering, you will lead the development of scalable AI-powered applications and backend systems while managing a team of engineers. The role requires a strong balance of technical leadership and hands-on contribution in building production-grade solutions using Python, Django, RAG architectures, Vector Databases, and modern LLM frameworks. You will drive project execution, mentor team members, and ensure high-quality delivery of AI solutions.

Roles & Responsibilities

• Lead and manage a team of 6–10 engineers for AI/LLM-based projects.
• Drive end-to-end project delivery with focus on quality, scalability, and operational efficiency.
• Design and develop scalable backend systems using Python and Django.
• Build and optimize AI workflows involving RAG systems, Vector Databases, embeddings, and LLM orchestration.
• Work with technologies such as LangGraph and Model Context Protocol (MCP).
• Participate in architecture discussions, system design, and technical decision-making.
• Conduct code reviews and maintain engineering best practices.
• Mentor junior developers and support team growth.
• Collaborate with cross-functional teams for smooth project execution.
• Identify and remove technical blockers to improve team productivity.
• Contribute hands-on to development, debugging, and deployment activities.

Requirements

• Minimum 3 years experience as a developer.
• Minimum 7–8 months of experience with building AI systems.
• Strong hands-on experience in Python and Django development.
• Experience with Vector Databases and embedding-based retrieval systems.
• Good understanding of Data Structures & Algorithms.
• Strong knowledge of System Design and scalable application architecture.
• Experience working with AI/LLM integrations and RAG systems.
• Prior team leadership or mentoring experience.
• Good communication, analytical thinking, and problem-solving abilities.
• Ability to work in a fast-paced, collaborative environment.

Behavioural Skills

• Strong leadership and team management abilities.
• Excellent communication and interpersonal skills.
• Problem-solving mindset with strong analytical thinking.
• Ability to take ownership and drive projects independently.
• Adaptability to evolving technologies and project requirements.
• Good collaboration and stakeholder management skills.
• Strong decision-making and mentoring capabilities.

Technical Skills

• Python
• Django Framework
• Data Structures & Algorithms
• System Design
• Vector Databases
• Embeddings & Semantic Search
• RAG (Retrieval-Augmented Generation) Systems
• LangGraph
• Model Context Protocol (MCP)
• LLM Integration & Orchestration
• REST APIs
• Git & Version Control
• DevOps / Cloud Infrastructure (Preferred)
• Database Management Systems (SQL/NoSQL)

Job Description: Implementation Manager / Solution Implementation Lead

(Tech + Customer-Facing Role)

About the Role

We are looking for an Implementation Manager who can bridge the gap between technology, product, and customer success. The ideal candidate should understand APIs, integrations, workflows, and product configurations while also being comfortable interacting with customers, conducting workshops, managing go-lives, and driving adoption.

This role is critical in ensuring smooth onboarding and successful deployment of the platform for Banks, NBFCs, and other enterprise clients.

Key Responsibilities

Customer Implementation & Onboarding

• Lead end-to-end implementation and onboarding for enterprise customers.
• Understand customer workflows, business requirements, and operational challenges.
• Conduct requirement gathering sessions, workshops, and solution walkthroughs.
• Configure product workflows, questionnaires, user journeys, and implementation setups.
• Coordinate pilot launches, UAT, production rollout, and post go-live support.

Technical Coordination

• Work closely with Product, Engineering, and AI teams for integrations and deployment.
• Understand APIs, JSON payloads, webhooks, LOS integrations, and workflow configurations.
• Assist clients with technical discussions around APIs, data flow, and integrations.
• Troubleshoot implementation issues and coordinate resolution across internal teams.
• Track dependencies, timelines, and delivery milestones.

Customer Communication

• Act as the primary implementation SPOC for customers.
• Conduct training sessions for business and operations teams.
• Translate technical concepts into simple business language.
• Provide regular project updates, MOMs, trackers, and escalation management.
• Build strong relationships with client stakeholders across business, operations, and technology teams.

Required Skills & Qualifications

Technical Understanding

• Basic understanding of APIs, integrations, JSON, workflows, and SaaS products.
• Ability to understand and explain technical concepts to non-technical users.
• Familiarity with implementation/project management tools and documentation.

Preferred Background

• 2–6 years of experience in:
• SaaS implementation
• Solution engineering
• Technical account management
• Product implementation
• Experience working with BFSI, FinTech, NBFCs, or enterprise SaaS is preferred.

Ideal Candidate Profile

• Tech-savvy but business-oriented.
• Can coordinate between customers and engineering teams effectively.
• Strong ownership mindset.
• Structured and process-driven.
• Comfortable traveling for client meetings/go-lives if required.
• Able to manage ambiguity in fast-growing startup environments.

Software Engineer, Low-Latency Systems

• Employment Type: Full-time
• Experience Level: senior-level (7–10 years)

About the Role

We are hiring a Software Engineer, Low-Latency Systems to design and optimize the core infrastructure powering our algorithmic trading systems. In this role, you will work on latency-critical execution paths where nanoseconds, cache lines, memory layout, and network behavior matter.

This is a hands-on engineering position for someone who enjoys building high-performance systems and reasoning deeply about correctness, throughput, and tail latency. Prior trading domain experience is helpful but not required—we value engineering depth and systems thinking above all else.

What You’ll Do (Responsibilities)

• Build Core Infrastructure: Design, develop, and maintain low-latency components including order routing, market data handling, and execution pipelines.
• Optimize Performance: Profile and optimize critical code paths to minimize throughput and tail latency.
• Collaborate Across Teams: Work closely with quant and trading teams to translate complex strategy requirements into highly efficient infrastructure primitives.
• Drive System Design: Contribute to architectural decisions around threading models, memory layout, and network stack configurations.
• Ensure Reliability: Improve observability and operational performance across trading infrastructure. Participate in on-call rotations, incident response, and post-mortems to keep systems running smoothly.

What We’re Looking For (Requirements)

• Experience: 7 to 10 years of professional experience in systems engineering, with a demonstrable focus on low-latency systems or high-performance computing (HPC).
• Language Proficiency: Strong, production-level proficiency in Rust and/or C++.
• Systems Depth: Comfort reasoning about memory management, lock-free data structures, compiler behavior, and CPU-level performance.
• Tooling: Experience using Linux performance tooling such as perf, flamegraphs, strace, or similar tools.
• Networking Fundamentals: Solid understanding of network stack behavior, including TCP, UDP, multicast, and kernel bypass.
• Problem Solving: Ability to debug complex production issues and optimize systems under real-world constraints.

Nice to Have (Bonus Points)

• Prior exposure to trading systems, market data feeds, or exchange connectivity.
• Familiarity with financial market protocols (e.g., FIX, ITCH, OUCH).
• Experience with low-latency networking technologies like DPDK, RDMA, or kernel bypass.
• Familiarity with co-location environments and latency-sensitive infrastructure.

Culture & Fit

We are looking for an engineer who takes ownership, thrives in ambiguous and fast-moving environments, and holds an incredibly high bar for correctness and performance. If you love drilling down into the lowest levels of software to squeeze out maximum efficiency, we want to hear from you.

Required Skill Set

Software Engineer/Senior Software Engineer/Lead Engineer-Java

• Experience in Core Java 8.0 and above, Data Structures, OOPS, Multithreading, Algorithms, Collections, Unix/Linux
• Possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyse, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS
• Good knowledge of multi-threading and high volume server side development
• Basic working knowledge of Unix/Linux
• Excellent problem solving and coding skills in Java
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Responsibilities

• Understand product requirements and come up with solution approaches
• Build and enhance large scale domain centric applications
• Deploy high quality deliverables into production adhering to the security, compliance and SDLC guideline.

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Experience - 4+ years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

We are looking for a Backend Engineer with strong experience in building scalable, reliable, and high- performance systems. You will work on designing APIs, handling large-scale data, and building robust backend services using Java and Spring Boot.

Principal Duties/Responsibilities

• Design, develop, and maintain backend services and APIs using Java (Spring Boot)
• Build scalable and fault-tolerant systems to handle high traffic and large data volumes
• Design clean and efficient RESTful APIs and service contracts
• Collaborate with frontend, product, and design teams to deliver end-to-end features
• Optimize system performance, latency, and throughput
• Ensure high code quality through testing, code reviews, and best practices
• Debug production issues and ensure system reliability and uptime
• Participate in system design and architectural decisions
• Own services end-to-end, including development, deployment, and monitoring.

Required Skills and Knowledge

• Strong proficiency in Java
• Hands-on experience with Spring Boot / Spring Framework
• Solid understanding of data structures, algorithms, and OOPs concepts
• Experience building and consuming REST APIs
• Strong knowledge of databases:
• Relational (MySQL, PostgreSQL) • Basics of NoSQL (Redis, MongoDB, etc.)
• Understanding of concurrency, multithreading, and JVM internals
• Familiarity with caching strategies (Redis, in-memory caching)
• Experience with Git and version control workflows

Good to Have Experience with deployment strategies:

• Blue-Green deployments
• Canary releases • Rolling deployments
• Exposure to CI/CD pipelines (Jenkins, GitHub Actions, CircleCI, etc.)
• Basic experience with AWS / cloud infrastructure:
• EC2, S3, RDS • Load balancers, auto-scaling
• Experience with Docker and containerization
• Knowledge of microservices architecture and service communication (REST/gRPC, Kafka)
• Familiarity with message queues / streaming systems (Kafka, RabbitMQ)
• Experience with monitoring & observability tools (Prometheus, Grafana, ELK, Datadog)
• Understanding of security best practices (authentication, authorization, OAuth, JWT)

 Required Experience /Qualifications

• 4 years of backend development experience
• BTech / BE Computer Science.

About LJI

Loyalty Juggernaut (LJI) is a leading B2B SaaS company redefining how enterprises drive customer engagement and loyalty. Our flagship platform, GRAVTY®, enables global brands to transform loyalty programs into measurable, revenue-generating growth engines.

Built as an AI-first, next-generation solution, GRAVTY® empowers organizations to deliver highly personalized, real-time experiences at scale—helping them increase customer lifetime value and deepen brand relationships.

Headquartered in Palo Alto, California, LJI partners with leading enterprises across 16 major industries including airlines, retail, hospitality, financial services and telecommunications powering some of the most innovative loyalty ecosystems worldwide.

Our Global Impact:

• 400+ Million members connected through our platform.
• 100+ Global Brands trust us to drive loyalty and brand devotion.
• 3-Time Winner of “Best Technology Innovation in Loyalty”.
• Global recognitions for Excellence in Loyalty Management under numerous categories.
• Recognised as a ‘Strong performer’ in The Forrester Wave™ Loyalty Platforms, Q4 2025.

Explore more about us at www.lji.io

What you will OWN:

• Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS ‘big data’ technologies.
• Create and maintain optimal data pipeline architecture.
• Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Work with stakeholders, including the Technical Architects, Developers, Product Owners, and Executives, to assist with data-related technical issues and support their data infrastructure needs.
• Create tools for data management and data analytics that can assist them in building and optimizing our product to become an innovative industry leader.

You would make a GREAT FIT if you have:

• Have 2 to 5 years of relevant backend development experience, with solid expertise in Python.
• Possess strong skills in Data Structures and Algorithms, and can write optimized, maintainable code.
• Are familiar with database systems, and can comfortably work with PostgreSQL, as well as NoSQL solutions like MongoDB or DynamoDB.
• Hands-on experience using Cloud Dataware houses like AWS Redshift, GBQ, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift, and AWS Batch would be an added advantage.
• Have a solid understanding of ETL processes and tools and can build or modify ETL pipelines effectively.
• Have experience managing or building data pipelines and architectures at scale.
• Understand the nuances of data ingestion, transformation, storage, and analytics workflows.
• Communicate clearly and work collaboratively across engineering, product.

Why Choose US?

• This opportunity offers a dynamic and supportive work environment where you'll have the chance to not just collaborate with talented technocrats but also work with globally recognized brands, gain exposure, and carve your own career path.
• You will get to innovate and dabble in the future of technology -Enterprise Cloud Computing, Blockchain, Machine Learning, AI, Mobile, Digital Wallets, and much more.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Experience: 6-8 years

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. - 6-10 years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Position Title: Software Development Engineer (SDE-2)

Department: Engineering & Product

Location: Pune, Maharashtra (Remote)

Employment Type: Full-Time

Compensation: Competitive, commensurate with market standards and experience

ORGANISATION OVERVIEW:

Growloc Private Limited is a leading Agri-tech enterprise in India, specialising in Internet of Things (IoT) solutions for modern farm management. We are committed to empowering farmers through innovative technology that optimises resource utilisation, enhances crop yields, and ensures the delivery of consistent, quality produce.

Backed by a team of purpose-driven professionals, Growloc Private Limited is at the forefront of building a more sustainable, efficient, and productive future for Indian agriculture. Our work sits at the intersection of technology and rural impact — and every product we ship makes a difference.

POSITION SUMMARY:

We are seeking an experienced and results-driven MERN Stack Engineer (SDE-2) to join our growing Engineering team. The ideal candidate will possess a deep understanding of Data Structures and Algorithms (DSA), a proven ability to apply Design Patterns, and expertise in Low-Level Design (LLD) to architect and implement robust, scalable, and efficient full-stack solutions. This role is critical for building and maintaining high-quality, lean engineering environments that value smart development practices, quality-first thinking, and the strategic use of modern AI-assisted development tools.

KEY RESPONSIBILITIES:

•       Design, build, and maintain robust full-stack applications leveraging MongoDB, Nest.js, React.js, and Node.js, ensuring optimal performance, scalability, and maintainability through the judicious application of efficient algorithms, established design patterns, and sound Low-Level Design (LLD) principles.

•       Take complete ownership of features from architectural design through production deployment, utilising modern CI/CD workflows including GitHub Actions, Vercel, and AWS.

•       Integrate and strategically leverage AI-assisted development tools (e.g., GitHub Copilot, ChatGPT) to accelerate development velocity, improve documentation quality, and streamline test authoring.

•       Author and maintain comprehensive unit, integration, and end-to-end test suites to uphold rigorous code quality standards.

•       Collaborate cross-functionally with Product, Data, and Hardware teams within an agile, lean delivery framework to drive frequent, high-quality releases.

•       Ensure consistent performance, responsiveness, and scalability across both frontend and backend systems.

REQUIRED QUALIFICATIONS & SKILLS:

Educational Qualification

•       Bachelor's degree or higher in Computer Science, Information Technology, or a related engineering discipline.

Technical Skills

•       2–5 years of professional experience building production-grade applications on the MERN stack (MongoDB, Express.js, React.js, Node.js).

•       Strong proficiency in Data Structures and Algorithms (DSA), with the ability to analyse problem complexity and implement optimised solutions.

•       Demonstrable experience with various Design Patterns (e.g., MVC, Singleton, Factory, Observer) and their practical application in building scalable and maintainable software systems, coupled with a strong understanding of Low-Level Design (LLD) principles for modular and efficient code architecture.

•       Strong proficiency in frontend architecture, including React Hooks, Context API, and/or Redux.

•       Solid understanding of Node.js, Express.js, RESTful API design, and MongoDB schema design.

•       Hands-on experience with CI/CD pipelines, Git-based workflows, and cloud deployment on AWS or equivalent platforms.

•       Proficiency with automated testing frameworks such as Jest, Mocha, and/or Cypress.

•       Demonstrated use of AI-assisted coding tools integrated into day-to-day development practices.

PREFERRED QUALIFICATIONS (GOOD TO HAVE):

•       Exposure to IoT systems or prior experience with hardware device integration.

•       Experience with real-time data technologies, including WebSocket.

•       Professional background in agriculture, climate-tech, or rural technology sectors.

•       Working knowledge of TypeScript or serverless computing architectures.

KEY COMPETENCIES:

•       Strong problem-solving ability and analytical thinking, with a focus on applying Data Structures and Algorithms and Low-Level Design (LLD) principles to solve complex technical challenges efficiently and effectively.

•       High ownership mindset with the ability to drive features independently.

•       Effective cross-functional communication and collaboration skills.

•       Adaptability and willingness to work in a fast-paced, lean startup environment.

•       Commitment to code quality, continuous improvement, and engineering best practices.

About the company

Metron Security provides automation and integration services to leading Cyber Security companies. Our engineering team works on leading security platforms including - Splunk, IBM’s QRadar, ServiceNow, Crowdstrike, Cybereason, and other SIEM and SOAR platforms. 

Software Engineer is a challenging role within Cyber Security Engineering integration development. The role involves developing a product/service that achieves high-performance data exchange between two or more Cyber Security platforms. A Software Engineer is at the core of the evolution process and is responsible for the End-to-End delivery of the project, right from getting the requirements from customers to deploying the project for them on-prem or on the cloud, depending on the nature of the project. We follow the best practices of engineering and keep evolving. We are agile. 

Each integration needs reskilling yourself with the required technology for that project. If you are passionate about programming and believe in the best practices of software engineering, the following are the skills we are looking for: 

● Developer-centric culture - No bureaucracy or red tape. 

● Chance to work on 200+ security platforms. 

● Opportunity to engage with end-users (customers) and just a cog in the wheel.

About the role

We are looking for passionate developers with 4-7 years of experience in software development to join the Metron Security team as Software Engineers. 

Mandatory Skills 

• 4+ years of experience in software engineering, with a proven track record of leading engineering teams and mentoring junior developers. 
• Expertise in at least one or two Object-Oriented Programming language (Python, typescript, Java,Node.js,Angular, react.js C#, C++) . 
• Good knowledge of Data Structure and its correct usage. 
• Oversee code reviews, ensuring adherence to best practices and maintaining high code quality standards. 
• Imbibe and maintain a strong customer delight attitude while designing and building products/services.

Other Requirements 

• Open to learn any new software development skill if needed for the project.
• Alignment and utilisation of the core enterprise technology stacks and integration capabilities throughout the transition states. 
• Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives. 
• Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them. 
• Good knowledge of the implications of Cyber Security on production.
• Experience in architecting & estimating deep technical custom solutions & integrations. 
• Manage the customer to ensure we have a continuous flow of work from them so that the team has enough work for at least a month. 
• Mentor and coach team members, providing technical guidance and fostering professional development. 

Added advantage: 

• Experience in the Cyber Security domain.
• Experience in developing software using web technologies. 
• Experience in handling a project from start to end. 
• Hands-on experience in an Agile Development project and in writing and estimating User Stories. 
• Contribution to open source - Please share your link in the application/resume if any.

Lead and scale engineering team (hiring, mentoring, performance)

Own end-to-end delivery (sprints, timelines, execution)

Drive system architecture (full-stack: frontend + backend)

Collaborate with Product & Design teams

Ensure code quality, CI/CD, and production stability

Manage stakeholders and balance tech vs business priorities

Work on AI/LLM-based product enhancements

Implement engineering best practices & processes

JOB DESCRIPTION

Experience: 5+ years

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. - 5+ years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Software Developer (HRMS Focus | High-Volume Systems | WFH)

We are looking for a highly skilled software developer with strong expertise in HRMS (Human Resource Management Systems) and proven experience in handling bulk data and high-volume transactions.

The ideal candidate should have hands-on experience in building and scaling HRMS modules such as Payroll, Attendance, Leave Management, and Employee Lifecycle, with solid technical skills in PHP and/or Node.js.

This role offers Permanent Work From Home.

Key Responsibilities

• Design, develop, and maintain robust HRMS modules (core focus):
• Payroll processing (large-scale calculations)
• Attendance & Leave Management
• Employee lifecycle management
• Handle bulk data operations (salary processing, employee records, financial data) with performance optimization.
• Ensure high scalability and performance for systems handling large datasets and concurrent users.
• Build and optimize REST APIs / GraphQL services.
• Optimize databases for high-volume transactions and reporting systems.
• Integrate third-party services (payment gateways, SMS, email, compliance tools).
• Contribute to additional ERP modules (Education domain as secondary) like Admissions, Fees, LMS, etc.
• Conduct code reviews and maintain coding standards.

Required Skills & Qualifications

• Strong experience in:
• PHP (Core PHP) and/or Node.js
• Must-have: Deep HRMS expertise and payroll.
• Attendance systems
• Leave & policy management
• Proven experience in handling bulk data / large datasets / high-load systems
• Strong database skills:
• MySQL, MongoDB, PostgreSQL (query optimization, indexing, performance tuning)
• Experience with:
• REST APIs / GraphQL
• High-performance backend systems

Good to Have:

• Experience in Education ERP systems
• Frontend: JavaScript, React, Vue
• Tools: Docker, CI/CD pipelines
• Cloud: AWS / Azure / GCP
• Experience with enterprise-scale or high-traffic applications

Preferred Experience

• 3+ years of development experience
• Minimum 2 years in HRMS development (strongly preferred)
• Experience managing large-scale employee data and payroll systems

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. - 3-8 years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Job Summary:

We are looking for a highly motivated and skilled Software Engineer to join our team.

This role requires a strong understanding of the software development lifecycle, proficiency in coding, and excellent communication skills.

The ideal candidate will be responsible for production monitoring, resolving minor technical issues, collecting client information, providing effective client interactions, and supporting our development team in resolving challenges

Key Responsibilities:

Client Interaction: Serve as the primary point of contact for client queries, provide excellent communication, and ensure timely issue resolution.

Issue Resolution: Troubleshoot and resolve minor issues related to software applications in a timely manner.

Information Collection: Gather detailed technical information from clients, understand the problem context, and relay the information to the development leads for further action.

Collaboration: Work closely with development leads and cross-functional teams to provide timely support and resolution for customer issues.

Documentation: Document client issues, actions taken, and resolutions for future reference and continuous improvement.

Software Development Lifecycle: Be involved in maintaining, supporting, and optimizing software through its lifecycle, including bug fixes and enhancements.

Automating Redundant Support Tasks: (good to have) Should be able to automate the redundant repetitive tasks Required Skills and Qualifications:

Mandatory Skills:

Expertise in at least one Object Oriented Programming language (Python, Java, C#, C++, Reactjs, Nodejs).

Good knowledge on Data Structure and their correct usage.

Open to learn any new software development skill if needed for the project.

Alignment and utilization of the core enterprise technology stacks and integration capabilities throughout the transition states.

Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives.

Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them.

Good knowledge on the implications.

Experience architecting & estimating deep technical custom solutions & integrations.

Added advantage:

You have developed software using web technologies.

You have handled a project from start to end.

You have worked in an Agile Development project and have experience of writing and estimating User Stories

Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain technical issues to non-technical clients.

Client-Facing Experience: Strong ability to interact with clients, gather necessary information, and ensure a high level of customer satisfaction.

Problem-Solving: Quick-thinking and proactive in resolving minor issues, with a focus on providing excellent user experience.

Team Collaboration: Ability to collaborate with development leads, engineering teams, and other stakeholders to escalate complex issues or gather additional technical support when required.

Preferred Skills:

Familiarity with Cloud Platforms and Cyber Security tools: Knowledge of cloud computing platforms and services (AWS, Azure, Google Cloud) and Cortex XSOAR, SIEM, SOAR, XDR tools is a plus.

Automation and Scripting: Experience with automating processes or writing scripts to support issue resolution is an advantage.

Job Title: Chief Technology Officer (CTO)

Location: Trivandrum, Kerala

Employment Type: Full-Time

Experience: up to 7 years

Role Overview

We are seeking a highly skilled and forward-thinking Chief Technology Officer (CTO) with approximately 7 years of progressive experience in technology leadership. The candidate will be responsible for driving the company’s technological vision, leading product development, and ensuring scalable, secure, and innovative solutions aligned with business objectives.

Key Responsibilities

• Define and execute the company’s technology strategy and roadmap

• Lead software development, engineering, and IT operations teams

• Oversee architecture design, system scalability, and performance optimization

• Drive digital transformation and innovation initiatives

• Ensure adherence to security standards, data protection, and compliance requirements

• Manage cloud infrastructure, DevOps practices, and system integrations

• Collaborate with product and business teams for technology-driven growth

• Evaluate and implement emerging technologies to enhance business capabilities

• Establish best practices in coding, testing, deployment, and maintenance

• Manage vendor relationships and external technology partners

Required Qualifications

• B.Tech / BE / M.Tech / MCA or equivalent in Computer Science, IT, or related field

• Minimum 7 years of relevant experience in software development and technology leadership roles

• Proven experience in building and scaling technology platforms

• Strong knowledge of modern tech stacks, cloud platforms (AWS, Azure, GCP), and system architecture

• Experience with Agile / Scrum methodologies

Key Skills & Competencies

• Technology Strategy & Leadership

• System Architecture & Design

• Cloud Computing & DevOps

• Cybersecurity & Data Privacy

• Product Development & Lifecycle Management

• Problem-Solving & Analytical Thinking

• Stakeholder & Team Management

• Strong Communication & Decision-Making Skills

Regards,

Radhika Sharma

HR Manager Estabizz fintech private limited

Total Experience: 1+ years

Mode Of Hire: Permanent

Required Skills Set (Mandatory): Object Oriented Programming, data structures, algorithms, software design, and database systems.

Desired Skills (Good if you have): Springboot, ElasticSearch, MongoDB, MySQL, Redis, Crawling/ Web Scraping, Programming languages(Java, Python, C, C++)

Job Responsibilities

• Collaborate with Managers and other Engineers to help define, scope, and implement high-quality features that solve critical user needs.
• Break down requirements into architecture and deliver code, while keeping operational issues in mind.
• The ability to own end-to-end responsibility right from the requirement to release.
• Write clear documentation so that other engineers can jump in and get things done.
• Actively participate in design and code reviews.
• Help take Tracxn to the next level as a world-class engineering team

Job Requirements

• ​​Experience with building backend services. Strong algorithm and CS skills.
• Experience designing and implementing large‐scale distributed systems.
• Experience with multiple programming languages (Java, Python) and data stores (MongoDB, MySQL, Redis, etc)
• Proven ability to work in a fast-paced, agile, and in ownership, and results-oriented culture.
• Strong problem-solving and analytical skills.

Culture

• Work with performance-oriented teams driven by ownership and passion.
• Learn to design systems for high accuracy, efficiency, and scalability.
• No strict deadlines focus on delivering quality work.
• Meritocracy-driven, candid culture. No politics.
• Very high visibility regarding which startups and markets are exciting globally.

About Tracxn

Tracxn (Tracxn.com) is a Bangalore-based product company providing a research and deal sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals working around the startup ecosystem. We are a team of 800+ working professionals serving customers across the globe. Our clients include Funds like Andreessen Horowitz, Matrix Partners, GGV Capital, and Large Corporations such as Citi, Embraer & Ferrero.

Founders

• Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
• Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team

Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure where almost everyone is actively involved in technical development and design activities. We have a team-centric culture where the ownership and responsibility of a feature or module lie with a team as compared to an individual.

We work on an array of technologies, including but not limited to Spring, Elastic Stack, Kafka, Mongo, MySQL, Redis, ReactJS, Next.js, Node, AWS Lambda, Ansible, etc. 

We value ownership, continuous learning, consistency, and discipline as a team.

We are looking for an experienced Backend Engineer with strong expertise in Kubernetes internals, control-plane development, and Golang-based microservices. If you enjoy building scalable infrastructure components and working with modern cloud-native technologies, this role is for you.

Key Responsibilities

• Design and implement Kubernetes controllers/operators and define new Custom Resource Definitions (CRDs).
• Develop REST and gRPC APIs for platform components and services.
• Contribute to Kubernetes management plane development and enhancements.
• Build and maintain microservices using Golang (1–2 years of hands-on experience required).
• Work with virtualization and container platforms such as KubeVirt, OpenShift, and similar technologies.
• Collaborate with engineering teams to design scalable infrastructure solutions.
• Use AI-assisted development tools such as GitHub Copilot or Augment (nice to have).

Required Skills

• Strong experience with Kubernetes internals, especially controller/operator implementation.
• Experience defining and managing CRDs.
• Hands-on development experience with Golang microservices.
• Experience building and consuming REST and gRPC APIs.
• Exposure to virtualisation technologies (KubeVirt, OpenShift, etc.).
• Prior work on Kubernetes management plane components or similar distributed systems.

Good to Have

• Experience working with AI-driven development tools.
• Exposure to cloud-native environments, containers, and orchestration technologies.

About Us: As India's fastest-growing D2C brand, we are at the forefront of innovation and transformation in the market. We’re a well-funded, rapidly growing (we have recently launched our 100th store), omnichannel D2C brand with a passionate and innovative team.

Job Summary: We are seeking a Data Engineer to help us design, build and maintain our BigQuery data warehouse by performing ETL operations and creating unified data models. You will work across various data sources to create a cohesive data infrastructure that supports our omnichannel D2C strategy.

Why Join Us: Experience the exciting world of India's billion-dollar D2C market. As a well-funded, rapidly growing omnichannel D2C brand, we are committed to changing the way India sleeps and sits. You'll have the opportunity to work with a passionate and innovative team and make a real impact on our success.

Key Responsibilities:

ETL Operations: Design, implement, and manage ETL processes to extract, transform, and load data from various sources into BigQuery.

Data Warehousing: Build and maintain a robust data warehouse in BigQuery, ensuring data integrity, security, and performance.

Data Modeling: Create and manage flat, unified data models using SQL and DBT to support business analytics and reporting needs.

Performance Optimization: Optimize ETL processes and data models to ensure timely data delivery for reporting and analytics.

Collaboration: Work closely with data analysts, product managers, and other stakeholders to understand data requirements and deliver actionable.

Documentation: Maintain comprehensive documentation of data workflows, ETL processes, and data models for reference and onboarding

Troubleshoot: Monitor and troubleshoot data pipeline issues, ensuring timely resolution to minimize disruption to business operations.

Skills and Qualifications:

1. Proficiency in SQL and experience with BigQuery
2. Minimum 2 years of experience in data engineering or a similar role
3. Experience with data pipeline and ETL tools (e.g., Apache Airflow, Talend, AWS Glue)
4. Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services
5. Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake)
6. Knowledge of data modeling, data architecture, and data governance best practices.
7. Excellent problem-solving skills and attention to detail
8. Knowledge of DBT (Data Build Tool) for data transformation
9. Self-motivated, proactive, and highly accountable
10. Excellent communication skills to effectively convey technical concepts and solutions

Bonus point - Prior experience in E-commerce or D2C space

Job Title: Lead Software Engineer

Experience: 4 - 12 yr

Department: Software

Reports To: Senior Software Engineer / Software Architect

Purpose of the Role

The incumbent will be responsible for designing and developing robust software solutions for products in the domains of Warehouse Automation, Industrial Automation, Robotics, and IoT. The role includes defining software architecture, ensuring scalability and performance, and mentoring the development team to drive technical excellence and innovation.

Technical Skills Required

• Proven experience in designing, developing, and deploying high-volume, scalable applications.
• Expertise in distributed systems, microservices, and central system architectures.
• Programming & Frameworks: Proficiency in Java 17+.
• Experience with frameworks such as Spring, Hibernate, Kubernetes, and RESTful APIs.
• Knowledge of JPA, MS SQL, and database modelling/design.
• Hands-on experience with GCP, AWS, or Azure for cloud architecture.
• Familiarity with virtualization and containerization technologies.
• Strong skills in data modelling and database design.
• Knowledge of secure coding practices.
• Tech stack: Java, MSSQL, MySQL, Spring Boot, Redis, Data Structures, Linux, basics of Kubernetes.

Behavioural Skills Required

• Attention to Detail (Proficient)
• Problem Solving
• Decision Making
• Collaborative approach
• Adaptability to a volatile environment
• Accountability
• Good Leadership skills

Job Responsibilities

• Understand requirements and define database and application structure under guidance of Software Architect.
• Write high-quality, scalable, and efficient code.
• Prepare Functional Requirement Documents (FRD) based on inputs from BA team.
• Guide junior and mid-level developers and provide technical support.
• Collaborate to identify and fix technical issues in UAT/Production.
• Work closely to meet project deadlines.
• Take ownership of product implementations at customer sites.
• Hands-on development for assigned modules/products.
• Handle application performance in production.
• Work with customers to understand automation requirements.
• Review and merge code changes from the team.
• Conduct sprint meetings, demos, and resolve development roadblocks.
• Optimize code for performance and efficiency.

🧭 Tech Lead (Backend / Fullstack | 7–10 Years)

Location: Bangalore (On-Site, Hybrid)

Company Type: Public-Listed Product Company

We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Lead execution of mission-critical systems while staying hands-on — bridging architecture and delivery.

🧩 What You’ll Do

• Own end-to-end delivery of complex engineering initiatives (0→1, 1→N)
• Design systems across backend + frontend (if fullstack)
• Translate ambiguous problems into structured technical solutions
• Drive engineering best practices, code quality, and velocity
• Mentor engineers and elevate team performance
• Collaborate with stakeholders on roadmap and execution strategy

🧠 What We’re Looking For

• Strong experience in backend systems + optional frontend frameworks
• Proven ability to lead projects and deliver at scale
• Solid understanding of system design and architecture patterns
• Ability to balance speed vs quality vs scalability trade-offs
• Strong communication and leadership without authority
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Experience leading platform builds or major system rewrites
• Exposure to AI systems, LLM integrations, or intelligent workflows
• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Background: We Commonly See (But Not Limited To)

• Our team often includes engineers from top-tier institutions and strong research or product company or DeepTech or AI Product backgrounds, including:
• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

Department

Product & Technology

Location

On-site | Prabhat Road, Pune

Experience

3-5 Years in a Data Engineering or Analytics Role

Domain

Fintech / Wealth Management — non-negotiable

Compensation

11-12 LPA Fixed + Performance Bonus

Growth

Title upgrade + salary revision at 12–18 months for strong performers

Why this role is different from most Data Engineer postings

You will work directly with the founding team on a live wealth management platform used by HNI and NRI clients. You will not spend years in a queue waiting to matter your work ships to production, your analysis influences product decisions, and you will guide junior teammates from day one. If you perform, a raise and title upgrade are on the table within 1218 months. This is the kind of early-team role that defines careers.

About Cambridge Wealth

Cambridge Wealth is a fast-growing, award-winning Financial Services and Fintech firm obsessed with quality and exceptional client service. We serve a high-profile clientele NRI, Mass Affluent, HNI, and ultra-HNI professionals and have received multiple awards from major Mutual Fund houses and BSE. We are past the zero-to-one stage and now focused on scaling our features and intelligence layer. You will be joining at exactly the right time.

What You Will Be Doing

This is a central, hands-on data engineering role at the intersection of financial analytics and applied ML. You will own the data pipelines and analytical models that power investment insights for wealth management clients transforming transaction data and portfolio information into measurable, actionable intelligence.

We are not looking for someone who just keeps the lights on. We want someone who looks at a working system and immediately sees how to make it 10x faster, cleaner, and smarter using AI and automation wherever possible.

Key Responsibilities:

Data Engineering & Pipelines

• Build and optimize PostgreSQL-based pipelines to process large volumes of investment transaction data.
• Design and maintain database schemas, foreign tables, and analytical structures for performance at scale.
• Write advanced SQL — window functions, stored procedures, query optimization, index design.
• Build Python automation scripts for data ingestion, transformation, and scheduled pipeline runs.
• Monitor AWS RDS workloads and troubleshoot performance issues proactively.

Financial Analytics & Modelling

• Develop analytical frameworks to evaluate client portfolios against benchmarks and category averages.
• Build data models covering mutual fund schemes, SIPs, redemptions, switches, and transfer lifecycles.
• Create materialized views and derived tables optimized for dashboards and internal reporting tools.
• Analyse client transaction history to surface patterns in investment behaviour and financial discipline.

Applied ML & AI-Driven Development

• Use Python (Pandas, NumPy, Scikit-learn) for trend analysis, forecasting, and predictive modelling.
• Implement classification or regression models to support financial pattern detection.
• Use AI tools — LLMs, Copilots — to accelerate ETL development, code quality, and data cleaning.
• Identify opportunities to automate repetitive data tasks and advocate for smarter tooling.

Data Quality & Governance

• Own data integrity end-to-end in a live, high-stakes financial environment.
• Build and maintain validation and cleaning protocols across all financial datasets.
• Maintain Excel models, Power Query workflows, and structured reporting outputs.

Collaboration & Junior Mentorship

• Work directly with Product, Investment Research, and Wealth Advisory teams.
• Translate open-ended business questions into structured queries and measurable outputs.
• Guide 1–2 junior trainees — review their work, set code quality standards, and help them grow.
• Present findings clearly to non-technical stakeholders — no jargon, just clarity.

Skills — What We Need vs. What Helps

Skill / Tool

Requirement

Must-Haves:

SQL & PostgreSQL (window functions, stored procedures, optimization)

Python — Pandas, NumPy for data processing and automation

ML fundamentals — classification or regression (Scikit-learn)

AWS RDS or equivalent cloud database experience

Financial domain knowledge — mutual funds, SIPs, portfolio concepts

Python data visualization — Matplotlib, Seaborn, or Plotly

Strong Advantage

Excel — Power Query, advanced modelling

Materialized views, query planning, index optimization

Experience with BI/dashboard tools

Good to Have

NoSQL databases

Prior fintech or wealth management startup experience

Financial Domain — Non-Negotiable

This is a wealth management platform. You must come in with a working understanding of:

• Mutual fund structures, scheme types, and NAV-based transactions
• Investment lifecycle — SIPs, Lump Sum, Redemptions, Switches, and STPs
• Portfolio allocation and benchmarking against indices (e.g. Nifty 50, category averages)
• How HNI/NRI clients interact with financial products differently from retail investors

You do not need to be a CFA. But if mutual funds and portfolio analytics are completely new territory, this role is not the right fit right now.

The Culture Fit — Read This Carefully

We are a small, fast-moving team. This is not a place where you wait for a ticket to arrive in your queue. The right person for this role:

• Has worked at a small startup before and is used to wearing multiple hats
• Finds broken or slow data systems genuinely irritating and fixes them without being asked
• Reaches for Python or an LLM when there is a repetitive task — automating is instinctive
• Is comfortable saying 'I don't know but I'll find out' and follows through independently
• Wants visibility and ownership, not just a well-defined job description
• Is looking for a role where strong performance is directly visible and rewarded

Growth Path — What Happens If You Perform

This is not a vague 'growth opportunity' pitch.

If you hit the bar in your first 12–18 months, you will receive a salary revision and a title upgrade to Senior Data Engineer or Lead Data Engineer depending on team expansion. As we scale our Data and AI team, this role is the natural stepping stone to a team lead position. You will also gain direct exposure to founding-team decision-making — the kind of access that is hard to get at larger companies.

Preferred Background

• 2–4 years in a data engineering or analytics role at a startup or small Fintech
• Experience in a live product environment where data errors have real consequences
• Exposure to portfolio analytics, investment research, or wealth management platforms
• Has mentored or reviewed code for at least one junior team member

Hiring Process

We respect your time. The process is direct and moves fast.

• Screening Questions — 5 minutes online
• Online Challenge — MCQ(Data, SQL, AWS, etc), and one applied ML or analytics problem, Communication Skills and Personality (focused, not trick questions)
• People Round — 30-minute video call, culture and communication
• Technical Deep-Dive — 1 hour in person, live financial data problems and your past work
• Founder's Interview — 1 hour in person, growth conversation and mutual fit
• Offer & Background Verification

This Is NOT a Typical Java Role If your experience is mostly CRUD APIs, controller wiring, or shallow service layers — this role is not for you. We are looking for a top tier backend engineer who thrives on: 

* Designing complex algorithms 

* Building high-performance, memory-efficient systems 

* Owning deep backend logic that actually moves the needle 

You will work close to the core engine of the product, not the edges.

What You’ll Be Trusted With 

* Architect and build backend systems that must perform under load 

* Design and implement custom algorithms for real-world, non-trivial problems 

* Solve performance bottlenecks involving CPU, memory, I/O, and concurrency 

* Build backend services where latency, throughput, and correctness matter 

* Own document & PDF processing pipelines end-to-end:     

-Composition     

-Rendering     

-Optimization     

- High-volume generation 

* Make hard technical decisions and stand by them

Non-Negotiable Skills 

* Exceptional Java expertise (Core Java, Spring Boot, Java 8+) 

* Strong command over:     

• Data structures & algorithms 
• Multithreading & concurrency models     
• JVM internals & memory management 

* Proven experience building custom algorithms (this will be evaluated) 

* Deep backend engineering experience with Spring / Spring Boot 

* Strong understanding of:     

• API design principles     
• Fault tolerance & resilience     
•  Performance tuning & profiling 

* Ability to reason about time complexity, space complexity, and trade-offs 

* Strong database fundamentals (query optimization, indexing, transactions) 

* Experience with message brokers (ActiveMQ, Kafka, RabbitMQ) 

* Exposure to Kubernetes-based deployments or large-scale microservices 

Interview Focus (Be Prepared) 

* Algorithm design & problem solving 

* Deep Java fundamentals 

* System design discussions (backend-heavy) 

* Performance tuning scenarios 

* Real-world debugging and optimization challenges

Key Responsibilities:

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Build and consume RESTful APIs and ensure secure, reliable API integrations.
• Develop microservices-based architecture and deploy applications in cloud environments.
• Work with cloud platforms such as AWS/Azure/GCP for application deployment and management.
• Write clean, maintainable, and efficient code following best practices.
• Implement CI/CD pipelines and support DevOps practices.
• Optimize applications for performance, scalability, and reliability.
• Collaborate with cross-functional teams including frontend, QA, DevOps, and product teams.
• Participate in code reviews, technical design discussions, and architectural decisions.
• Troubleshoot production issues and provide timely resolution.

Required Skills & Qualifications:

• 5–10 years of hands-on experience in Java (Java 8 or above).
• Strong experience with Spring Boot, Spring MVC, Spring Data, Spring Security.
• Solid understanding of RESTful API design & development.
• Experience in microservices architecture.
• Hands-on experience with at least one cloud platform (AWS / Azure / GCP).
• Knowledge of containerization tools like Docker and orchestration tools like Kubernetes.
• Experience with relational and/or NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, etc.).
• Strong understanding of Git and version control practices.
• Good understanding of design patterns and object-oriented programming principles.

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

NOW HIRING · WORLD-CLASS TALENT Backend Tech Lead (Senior Level Engineering Leadership)

Placed by Recruiting Bond on behalf of a Confidential Digital Platform Leader

📍Location: Bengaluru, India (Hybrid / On-Site)

🏢Sector: Technology, Information & Media

👥Company Size: 500 – 1,000 Employees

💼Employment: Full-Time, Permanent

🎯Experience: 6 – 9 Years (Backend Engineering)

🚀 Level: Tech Lead

ABOUT THIS MANDATE

Recruiting Bond has been exclusively retained by one of India's most well-established digital platform organisations — a company operating at the intersection of Technology, Information, and Media — to identify and place a world-class Backend Tech Lead who can drive a transformational engineering agenda at scale.

This is not an ordinary role. The organisation is executing a high-stakes, large-scale modernisation of its backend infrastructure — migrating from legacy monolithic systems to resilient, cloud-native, AI-augmented distributed architectures that serve millions of concurrent users. The person in this seat will be a core pillar of that transformation.

We are looking exclusively for the top 1% — engineers who think in systems, own outcomes, and lead by example.

THE OPPORTUNITY AT A GLANCE

🏗️ Architecture Ownership

Drive system design decisions across the entire backend platform. Shape the future of distributed, fault-tolerant architecture.

🤖 AI-Augmented Engineering

Embed GenAI and LLM tooling directly into the SDLC. Champion automation-first development practices across squads.

🎓 Engineering Leadership

Mentor and grow the next generation of backend engineers. Lead hiring, reviews, and cross-functional technical alignment.

KEY RESPONSIBILITIES

1. Architecture & Platform Modernisation

• Lead the full migration of legacy monolithic systems to a scalable, cloud-native microservices architecture
• Design and own distributed, fault-tolerant backend systems with sub-millisecond SLO targets
• Architect API-first and event-driven platforms using async messaging patterns (Kafka, Pub/Sub, SQS)
• Resolve systemic performance bottlenecks, concurrency conflicts, and scalability ceilings
• Establish backend design standards, coding guidelines, and architectural review processes

2. Distributed Systems Engineering (Production-Grade)

• Design and implement Webhook reliability frameworks with intelligent retry and exponential backoff strategies
• Build idempotent, versioned APIs with enterprise-grade rate limiting and throttling controls
• Implement circuit breakers, bulkheads, and resilience patterns using Resilience4j / Hystrix or equivalents
• Engineer Dead-Letter Queue (DLQ) strategies and event reprocessing pipelines with guaranteed delivery semantics
• Apply Saga orchestration and choreography patterns for distributed transaction integrity
• Execute zero-downtime deployments and canary release strategies with rollback capability
• Design and enforce multi-region disaster recovery and business continuity protocols

3. AI-Driven Engineering Practices

• Champion LLM and GenAI adoption as first-class tooling across the software development lifecycle
• Apply prompt engineering techniques for automated code generation, review, and documentation workflows
• Utilise AI-assisted debugging, root cause analysis, and predictive performance optimisation
• Build automation-first pipelines that reduce toil and accelerate delivery velocity
• Evaluate and integrate emerging AI developer tools into the engineering ecosystem

4. Engineering Leadership & Culture

• Own backend platforms end-to-end with full accountability across development, stability, and performance
• Actively mentor, coach, and elevate engineers at all levels (L3–L6) through structured 1:1s and code reviews
• Drive and lead technical hiring — from designing assessments to final hire decisions
• Partner with Product, Data, DevOps, and Security stakeholders to align engineering with business objectives
• Represent the engineering org in cross-functional roadmap planning and architecture decision reviews
• Foster a culture of technical excellence, psychological safety, and high-velocity delivery

TECHNOLOGY STACK (HANDS-ON PROFICIENCY REQUIRED)

Languages: Java (primary) · Go · Python · Node.js · PHP · Rust

Cloud: AWS · GCP · Azure (Multi-cloud exposure preferred)

Containers: Docker · Kubernetes · Helm · Service Mesh (Istio / Linkerd)

Databases: PostgreSQL · MySQL · MongoDB · Cassandra · Redis · Elasticsearch

Messaging: Apache Kafka · RabbitMQ · AWS SQS/SNS · Google Pub/Sub

Observability: Datadog · Prometheus · Grafana · OpenTelemetry · Jaeger · ELK Stack

CI/CD & IaC: GitHub Actions · Jenkins · ArgoCD · Terraform · Ansible

AI & GenAI: OpenAI / Claude APIs · LangChain · RAG Pipelines · GitHub Copilot · Cursor

QUALIFICATIONS & CANDIDATE PROFILE

Education

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution — CS, IS, ECE, AI/ML streams strongly preferred
• Exceptional real-world engineering track record may be considered in lieu of institution pedigree

Experience

• 6 to 9 years of progressive backend engineering experience with demonstrable ownership and impact
• Proven track record of shipping and scaling production SaaS / Product systems at significant user load
• Exposure to and success within start-up, mid-size, and large-scale product organisations — the full spectrum
• Strong computer science fundamentals: algorithms, data structures, distributed systems theory, OS internals
• Demonstrated career stability — minimum 2 years average tenure per organisation
• The Ideal Candidate Exemplifies
• System-level thinking with an ability to hold context across code, architecture, product, and business
• An ownership mindset — no task is 'not my job'; outcomes and quality are personal commitments
• Strong written and verbal communication skills for asynchronous, cross-functional collaboration
• Intellectual curiosity: actively follows engineering trends, contributes to the community (OSS, blogs, talks)
• Bias for automation, observability, and engineering efficiency at every level
• A mentor's instinct — genuine desire to grow others and raise the capability of the team around them

WHY THIS ROLE STANDS APART

✅ Transformational Scope

Lead platform modernisation at scale. Your architectural choices will define systems serving millions of users for years.

✅ AI-Forward Engineering Culture

Be at the forefront of AI-augmented development. This org invests in tools and practices that make great engineers exceptional.

✅ Established, Stable Platform

Join a company with 500–1,000 employees, proven product-market fit, and the resources to execute on a serious technical vision.

✅ Career-Defining Leadership

Operate with strategic influence, direct access to senior leadership, and a clear path toward Principal / Staff / VP Engineering.

HOW TO APPLY

This search is being managed exclusively by Recruiting Bond

Submit your application with an updated resume

Only shortlisted candidates will be contacted. All applications are treated with the strictest confidentiality.

⚡ We move fast — qualified candidates can expect a response within 48–72 business hours.

Recruiting Bond | Bengaluru, Karnataka, India | 2026

Job Title : Senior C++ Developer

Experience : 5+ Years

Location : Remote

Employment Type : Full-Time (Contract)

Working Days : 6 Days per Week

Domain : Privacy Blockchain

Job Summary :

We are hiring a Senior C++ Developer with 5+ years of experience in modern C++ (C++17/C++20) to design and optimize performance-critical components of a privacy-focused blockchain platform.

The role involves systems programming, distributed systems, cryptographic implementations, and low-level performance optimization in a Linux environment.

Mandatory Skills :

C++17/C++20, Systems Programming, Multithreading & Concurrency, Memory Management, Linux (GCC/Clang/CMake/GDB), Data Structures & Algorithms, Performance Optimization, Distributed Systems Fundamentals.

Key Responsibilities :

• Develop and maintain blockchain core modules (consensus, cryptography, networking).
• Write high-performance, scalable C++ code.
• Optimize memory management and concurrency.
• Implement distributed and peer-to-peer systems.
• Debug and profile performance-critical applications.
• Collaborate with researchers on protocol implementation.

Required Skills :

• 5+ years C++ development experience.
• Strong knowledge of C++17/C++20.
• Systems programming, multithreading, concurrency.
• Data structures and algorithms.
• Linux development (GCC, Clang, CMake, GDB, Valgrind).
• Performance profiling and debugging.

Preferred Skills :

• Rust (FFI, async programming)
• Blockchain protocol development
• Distributed systems and consensus algorithms
• Zero-knowledge proofs / cryptography fundamentals
• Gentoo Linux and kernel-level optimization

We are looking for a backend developer to be a part of the OneFin engineering team and help us build functional systems and deliver customized software solutions for clients.

https://forms.gle/WrQiW6bZpro7oe6R6

Responsibilities

1. Design and implement backend infrastructure and APIs.
2. Write high-quality, robust, readable, and scalable code.
3. Build responsive, robust, and optimized applications.

Requirements and Qualifications:

1. Proficiency in Python, with a solid understanding of Django, Celery, and Redis.
2. Bachelor’s degree in computer science, engineering, or a related field.

We’re Hiring | Data Research Executive – Indore (Onsite)

About MotionGility

MotionGility is a full-fledged Video, Design, and Digital Marketing Agency helping ambitious brands accelerate sustainable growth with performance-driven strategies. Founded in 2015, we are among the Global Top 10 Explainer Video Companies and have evolved into a creative powerhouse delivering impactful digital solutions for global brands.

Position: Data Research Executive – Business Development Department

Location: Indore (Onsite)

Experience: Fresher to 6 months

Employment Type: Full-time

Indore local candidates preferred

Role Overview:

This is a completely non-technical role focused on data extraction and refinement. The selected candidate will be responsible for collecting prospect and company information from various online sources and organizing it in a clean, structured format so that the Sales/BDE team can directly use it for outreach via Email, LinkedIn, and other platforms.

Key Responsibilities:

• Search and extract company and decision-maker data from online sources
• Compile and organize raw data into structured Excel/Google Sheets
• Clean and refine data (remove duplicates, correct errors, verify details)
• Prepare ready-to-use lead lists for the Sales/BDE team
• Segment data based on industry, designation, geography, etc. and Maintain updated records and ensure data accuracy
• Work closely with the Business Development team to understand data requirements

Requirements:

• Fresher or up to 6 months of experience in Data Entry / Data Research / Back-office roles
• Basic knowledge of Excel or Google Sheets and Good internet research skills
• Strong attention to detail and accuracy
• No technical or coding skills required

Job Details

- Job Title: Android Developer

- Industry: IT- Services

- Function - Information technology (IT)

- Experience Required: 5-8 years

- Employment Type: Full Time

- Job Location: Delhi

- CTC Range: Best in Industry

Criteria:

· Strong technical background in Android application development and Kotlin

· Looking candidates having 5+ years of experience.

· Need candidates from Delhi NCR Only.

· All Academic backgrounds acceptable (except BCA).

· Immediate Joiners Preferred

· Candidate must have some experience working with IoT devices.

· Candidate should have experience working with Camera model X.

· Candidate's Academic scores must be 70% or above.

· Candidate having fluent communication will be an added advantage.

Job Description 

About the Role:

Senior Android Team Lead will be responsible for testing, QC, debugging support for various Android and Java software/servers for products developed or procured by the company. The role includes debugging integration issues, handling on-field deployment challenges, and suggesting improvements or structured solutions. The candidate will also be responsible for scaling the architecture. You will work closely with other team members including Web Developers, Software Developers, Application Engineers, and Product Managers to test and deploy existing products. You will act as a Team Lead to coordinate and organize team efforts toward successful completion or demo of applications. This includes implementing projects from conception to deployment.

Responsibilities:

● Working with the Android SDK, Java, Kotlin, NDK

● Handling different Android versions and screen sizes

● Applying Android UI design principles, patterns, and best practices

Requirements:

● Strong technical background in Android application development and Kotlin

● Solid programming skills

● Detail-oriented with strong attention to specifics

● Excellent written and verbal communication skills

● Strong analytical and quick problem-solving ability

● Ability to quickly document requirements from open discussions

● Fast typing skills for documentation and communication

● Familiarity with JIRA, EPICs, Excel, Google Sheets, and Agile methodologies

● Team player with leadership qualities

● Decision-making ability and team management skills

● Interest in working in a startup environment with cutting-edge products

● Experience with design and architecture patterns

● Understanding of testing processes, debugging, code versioning, and repositories

● UI/UX experience

● Strong knowledge of Java & Kotlin

● Software development experience with strong coding skills

● Experience building services for data delivery to mobile clients

● Experience with relational and non-relational databases

● Knowledge of REST and JSON data handling

● Experience with libraries like Retrofit, RxJava, Dagger 2, Lottie

● Server integration (REST endpoints)

● Experience with AWS stack and Linux

● Apps shipped and available on Google Play

● Backend API development

● Familiarity with Android Studio, Eclipse IDE

● Good knowledge of mobile hardware, software, and operating systems

● Willingness to work in a fast-paced startup environment

● Strong oral communication and presentation skills

● Team-oriented, with a positive approach to technology and engineering

● Result-oriented with a focus on efficiency and timeliness

● Strong self-awareness and ability to work under deadlines

● Proficiency in Microsoft Project, PowerPoint, Excel, Word

● Willingness to mentor and manage team members

● Willing to travel 5–10% of the time for demos, training, and collaboration

Preferred Background:

● Understanding of Artificial Intelligence and Machine Learning

● B.S. / M.S. in Computer Science, Electrical, or Electronics Engineering

● 5+ years’ experience with Android, Java Server, JSP

● Experience with Virtual Reality and Augmented Reality

● Familiarity with Test-Driven Development

● Background in CS or ECE

● Python experience is a big plus

● iOS development knowledge (not mandatory)

● Strong foundation in data structures and algorithms

Job Summary:

• We are looking for a highly motivated and skilled Software Engineer to join our team.
• This role requires a strong understanding of the software development lifecycle, proficiency in coding, and excellent communication skills.
• The ideal candidate will be responsible for production monitoring, resolving minor technical issues, collecting client information, providing effective client interactions, and supporting our development team in resolving challenges

Key Responsibilities:

• Client Interaction: Serve as the primary point of contact for client queries, provide excellent communication, and ensure timely issue resolution.
• Issue Resolution: Troubleshoot and resolve minor issues related to software applications in a timely manner.
• Information Collection: Gather detailed technical information from clients, understand the problem context, and relay the information to the development leads for further action.
• Collaboration: Work closely with development leads and cross-functional teams to provide timely support and resolution for customer issues.
• Documentation: Document client issues, actions taken, and resolutions for future reference and continuous improvement.
• Software Development Lifecycle: Be involved in maintaining, supporting, and optimizing software through its lifecycle, including bug fixes and enhancements.
• Automating Redundant Support Tasks: (good to have) Should be able to automate the redundant repetitive tasks Required Skills and Qualifications:

Mandatory Skills:

• Expertise in at least one Object Oriented Programming language (Python, Java, C#, C++, Reactjs, Nodejs).
• Good knowledge on Data Structure and their correct usage.
• Open to learn any new software development skill if needed for the project.
• Alignment and utilization of the core enterprise technology stacks and integration capabilities throughout the transition states.
• Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives.
• Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them.
• Good knowledge on the implications.
• Experience architecting & estimating deep technical custom solutions & integrations.

Added advantage:

• You have developed software using web technologies.
• You have handled a project from start to end.
• You have worked in an Agile Development project and have experience of writing and estimating User Stories
• Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain technical issues to non-technical clients.
• Client-Facing Experience: Strong ability to interact with clients, gather necessary information, and ensure a high level of customer satisfaction.
• Problem-Solving: Quick-thinking and proactive in resolving minor issues, with a focus on providing excellent user experience.
• Team Collaboration: Ability to collaborate with development leads, engineering teams, and other stakeholders to escalate complex issues or gather additional technical support when required.

Preferred Skills:

• Familiarity with Cloud Platforms and Cyber Security tools: Knowledge of cloud computing platforms and services (AWS, Azure, Google Cloud) and Cortex XSOAR, SIEM, SOAR, XDR tools is a plus.
• Automation and Scripting: Experience with automating processes or writing scripts to support issue resolution is an advantage.

Work Environment:

• This is a rotational shift position
• During evening shift the timings will be (5 PM to 2 AM), and you will be expected to work independently and efficiently during these hours.
• The position may require occasional weekend shifts depending on the project requirements.
• Additional benefit of night allowance.

🚀 Job Title : Backend Engineer (Go / Python / Java)

Experience : 3+ Years

Location : Bangalore (Client Location – Work From Office)

Notice Period : Immediate to 15 Days

Open Positions : 4

Working Days : 6 Days a Week

🧠 Job Summary :

We are looking for a highly skilled Backend Engineer to build scalable, reliable, and high-performance systems in a fast-paced product environment.

You will own large features end-to-end — from design and development to deployment and monitoring — while collaborating closely with product, frontend, and infrastructure teams.

This role requires strong backend fundamentals, distributed systems exposure, and a mindset of operational ownership.

⭐ Mandatory Skills :

Strong backend development experience in Go / Python (FastAPI) / Java (Spring Boot) with hands-on expertise in Microservices, REST APIs, PostgreSQL, Redis, Kafka/SQS, AWS/GCP, Docker, Kubernetes, CI/CD, and strong DSA & System Design fundamentals.

🔧 Key Responsibilities :

• Design, develop, test, and deploy backend services end-to-end.
• Build scalable, modular, and production-grade microservices.
• Develop and maintain RESTful APIs.
• Architect reliable distributed systems with performance and fault tolerance in mind.
• Debug complex cross-system production issues.
• Implement secure development practices (authentication, authorization, data integrity).
• Work with monitoring dashboards, alerts, and performance metrics.
• Participate in code reviews and enforce engineering best practices.
• Contribute to CI/CD pipelines and release processes.
• Collaborate with product, frontend, and DevOps teams.

✅ Required Skills :

• Strong proficiency in Go OR Python (FastAPI) OR Java (Spring Boot).
• Hands-on experience building Microservices-based architectures.
• Strong understanding of REST APIs & distributed systems.
• Experience with PostgreSQL and Redis.
• Exposure to Kafka / SQS or other messaging systems.
• Hands-on experience with AWS or GCP.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD pipelines.
• Strong knowledge of Data Structures & System Design.
• Ability to independently own features and solve ambiguous engineering problems.

⭐ Preferred Background :

• Experience in product-based companies.
• Exposure to high-throughput or event-driven systems.
• Strong focus on code quality, observability, and reliability.
• Comfortable working in high-growth, fast-paced environments.

🧑‍💻 Interview Process :

• 1 Internal Screening Round
• HR Discussion (Project & Communication Evaluation)
• 3 Technical Rounds with Client

This is a fresh requirement, and interviews will be scheduled immediately.

We are seeking a highly skilled C++ Developer with 6–9 years of experience to design,

develop, and maintain high-performance software applications. The ideal candidate will

have a strong foundation in object-oriented programming, data structures, and

system-level programming, with a focus on delivering efficient and scalable

solutions.

Key Responsibilities:

 Design, develop, and maintain robust and efficient applications using C++.

 Write clean, maintainable, and optimized code following best practices.

 Debug, troubleshoot, and resolve performance bottlenecks and issues.

 Collaborate with cross-functional teams, including QA, DevOps, and Product

Management, to deliver high-quality software solutions.

 Participate in code reviews and contribute to improving coding standards.

 Prepare and maintain technical documentation for development processes and

modules.

 Work on integrating software components and third-party libraries.

 Optimize application performance and scalability for large-scale systems.

Required Skills and Qualifications:

 6–9 years of hands-on development experience in C++.

 Strong knowledge of object-oriented programming, STL, and design

patterns.

 Experience with multithreading, memory management, and performance

tuning.

 Familiarity with Linux/Unix environments and shell scripting.

 Good understanding of network programming and socket-level communication.

 Experience working with version control systems like Git.

 Strong problem-solving and debugging skills.

 Excellent communication and collaboration abilities.

Preferred Qualifications:

 Experience with modern C++ standards (C++11/14/17 or later).

 Knowledge of database systems such as MySQL, PostgreSQL, or NoSQL

databases.

 Exposure to cloud platforms like AWS, Azure, or GCP.

 Familiarity with CI/CD pipelines and DevOps tools.

 Background in Agile/Scrum methodologies.

In this role, you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development.

Responsibilities

• Development of machine learning models
• Building and maintaining software development solutions
• Provide insights by applying data science methods
• Take ownership of delivering features and improvements on time

Must-have Qualifications

• 4 year's experience 
• Senior data scientist preferable with knowledge of NLP
• Strong programming skills and extensive experience with Python
• Professional experience working with LLMs, transformers and open-source models from HuggingFace
• Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks
• Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc.).
• Experience using deep learning libraries and platforms, such as PyTorch
• Experience with frameworks such as Sklearn, Numpy, Pandas, Polars
• Excellent analytical and problem-solving skills
• Excellent oral and written communication skills

Extra Merit Qualifications

• Knowledge in at least one of the following: NLP, information retrieval, data mining
• Ability to do statistical modeling and building predictive models
• Programming skills and experience with Scala and/or Java

Position: Assistant Professor

Department: CSE / IT

Experience: 0 – 15 Years

Joining: Immediate / Within 1 Month

Salary: As per norms and experience

🎓 Qualification:

ME / M.Tech in Computer Science Engineering / Information Technology

Ph.D. (Preferred but not mandatory)

First Class in UG & PG as per AICTE norms

🔍 Roles & Responsibilities:

Deliver high-quality lectures for UG / PG programs

Prepare lesson plans, course materials, and academic content

Guide student projects and internships

Participate in curriculum development and academic planning

Conduct internal assessments, evaluations, and result analysis

Mentor students for academic and career growth

Participate in departmental research activities

Publish research papers in reputed journals (Scopus/SCI preferred)

Attend Faculty Development Programs (FDPs), workshops, and conferences

Contribute to NAAC / NBA accreditation processes

Support institutional administrative responsibilities

💡 Required Skills:

Strong subject knowledge in CSE / IT domains

Programming proficiency (Python, Java, C++, Data Structures, AI/ML, Cloud, etc.)

Excellent communication and presentation skills

Research orientation and academic enthusiasm

Team collaboration and mentoring ability

We are looking for a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐉𝐚𝐯𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 who is passionate about 𝐝𝐞𝐞𝐩 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐩𝐫𝐨𝐛𝐥𝐞𝐦-𝐬𝐨𝐥𝐯𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 at scale.

This role is 𝐧𝐨𝐭 about basic API development or framework-heavy work. You will be part of the 𝐜𝐨𝐫𝐞 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐭𝐞𝐚𝐦, working close to the heart of the product where 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐜𝐨𝐫𝐫𝐞𝐜𝐭𝐧𝐞𝐬𝐬 𝐭𝐫𝐮𝐥𝐲 𝐦𝐚𝐭𝐭𝐞𝐫.

𝐖𝐡𝐚𝐭 𝐘𝐨𝐮’𝐥𝐥 𝐃𝐨

▪️ Design and build 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that operate reliably under heavy load

▪️Develop and implement 𝐜𝐮𝐬𝐭𝐨𝐦 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 for complex, real-world business problems

▪️Identify and resolve 𝐂𝐏𝐔, 𝐦𝐞𝐦𝐨𝐫𝐲, 𝐈/𝐎, 𝐚𝐧𝐝 𝐜𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐲 𝐛𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤𝐬

▪️Build backend services where 𝐥𝐚𝐭𝐞𝐧𝐜𝐲, 𝐭𝐡𝐫𝐨𝐮𝐠𝐡𝐩𝐮𝐭, 𝐚𝐧𝐝 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 are critical

▪️Own 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 & 𝐏𝐃𝐅 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 end-to-end, including:

• Composition
• Rendering
• Optimization
• High-volume document generation

▪️Make 𝐬𝐭𝐫𝐨𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 and take ownership of backend architecture

▪️Mentor engineers by setting 𝐡𝐢𝐠𝐡 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 𝐚𝐧𝐝 𝐛𝐞𝐬𝐭 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬

𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞

▪️𝟓 𝐭𝐨 𝟏𝟎+ years of strong backend engineering experience

▪️Excellent expertise in 𝐂𝐨𝐫𝐞 𝐉𝐚𝐯𝐚 (𝐉𝐚𝐯𝐚 𝟖+) 𝐚𝐧𝐝 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭

▪️Strong knowledge of:

• Data Structures & Algorithms
• Multithreading and concurrency
• JVM internals and memory management

▪️ Proven experience designing 𝐜𝐮𝐬𝐭𝐨𝐦 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬

▪️Deep backend experience 𝐮𝐬𝐢𝐧𝐠 𝐒𝐩𝐫𝐢𝐧𝐠 / 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭

▪️Strong understanding of:

• API design principles
• Fault tolerance and resilience
• Performance tuning and profiling

▪️Ability to reason about time and space complexity

▪️Solid database fundamentals:

• Query optimization Indexing
• Transaction management

𝐖𝐡𝐚𝐭 𝐖𝐞’𝐫𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐅𝐨𝐫

Engineers who enjoy solving hard problems, not just wiring frameworks

Strong analytical thinking with a focus on trade-offs and optimizations

High ownership mindset with attention to performance and maintainability

📩 Interested candidates can apply

🚀 Hiring: C++ Content Writer Intern

📍 Remote | ⏳ 3 Months | 💼 Internship

We’re looking for someone who has strong proficiency in C++, DSA and maths (probability, statistics).

You should be comfortable with:

1. Modern C++ (RAII, memory management, move semantics)

2. Concurrency & low-latency concepts (threads, atomics, cache behavior)

3. OS fundamentals (threads vs processes, virtual memory)

4. Strong Maths (probability, stats)

5. Writing, Reading and explaining real code

What you’ll do:

1. Write deep technical content on C++, coding.

2. Break down core computer science, HFT-style, low-latency concepts

3. Create articles, code deep dives, and explainers

What you get:

1. Good Pay as per industry standards

2. Exposure to real C++ applied in quant engineering

3. Mentorship from top engineering minds.

4. A strong public technical portfolio

5. Clear signal for Quant Developer / SDE/ Low-latency C++ roles.

About Us:

MyOperator is a Business AI Operator and a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform.

Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.

Role Overview:

We’re seeking a passionate Python Developer with strong experience in backend development and cloud infrastructure. This role involves building scalable microservices, integrating AI tools like LangChain/LLMs, and optimizing backend performance for high-growth B2B products.

Key Responsibilities:

• Develop robust backend services using Python, Django, and FastAPI
• Design and maintain a scalable microservices architecture
• Integrate LangChain/LLMs into AI-powered features
• Write clean, tested, and maintainable code with pytest
• Manage and optimize databases (MySQL/Postgres)
• Deploy and monitor services on AWS
• Collaborate across teams to define APIs, data flows, and system architecture

Must-Have Skills:

• Python and Django
• MySQL or Postgres
• Microservices architecture
• AWS (EC2, RDS, Lambda, etc.)
• Unit testing using pytest
• LangChain or Large Language Models (LLM)
• Strong grasp of Data Structures & Algorithms
• AI coding assistant tools (e.g., Chat GPT & Gemini)

Good to Have:

• MongoDB or ElasticSearch
• Go or PHP
• FastAPI
• React, Bootstrap (basic frontend support)
• ETL pipelines, Jenkins, Terraform

Why Join Us?

• 100% Remote role with a collaborative team
• Work on AI-first, high-scale SaaS products
• Drive real impact in a fast-growing tech company
• Ownership and growth from day one