1,065 PostgreSQL Jobs in India

Job Title : AWS Data Engineer / Data Lake Engineer

Experience : 2 to 4 Years

Location : Gurugram Sector 43

Work Mode : 5 Days WFO

Employment Type : Full-Time

About the Role :

We are looking for a skilled AWS Data Engineer with 2 to 4 years of experience in designing, developing, and maintaining data pipelines and cloud-based data platforms.

The candidate will work on an enterprise AWS Data Lake platform that collects data from multiple business systems, processes large datasets, and makes them available for analytics, reporting, and application development.

The ideal candidate should have strong hands-on experience with AWS data services, Python, PySpark, SQL, and Apache Airflow, along with an understanding of data warehousing and API-based data serving.

Mandatory skills :

AWS Data Lake, S3, EMR, Glue, Athena, Redshift, Lambda, RDS, DMS, IAM, Python, PySpark, Apache Airflow, Advanced SQL, ETL / ELT Pipelines, Data Modeling, PostgreSQL, Production Support.

Key Responsibilities :

• Develop, maintain, and optimize data ingestion and ETL / ELT pipelines on AWS.
• Work with AWS services such as S3, Glue, EMR, Athena, Redshift, Lambda, RDS, and DMS.
• Build and manage data processing workflows using Python, PySpark, and Apache Airflow.
• Implement data lake architecture with staging, curated, and consumption layers.
• Write complex SQL queries and perform data transformation, validation, and modeling.
• Work with PostgreSQL and RDS for structured data storage and consumption.
• Support API-based data access using Hasura GraphQL or similar technologies.
• Monitor production data pipelines, troubleshoot failures, and perform root cause analysis.
• Optimize Spark jobs, SQL queries, and data pipelines for performance and cost efficiency.
• Follow AWS security practices, IAM permissions, and data governance standards.
• Collaborate with application, analytics, and business teams to understand data requirements.

Mandatory Skills :

• 2 to 4 years of experience in Data Engineering, AWS Data Engineering, or Data Platform Development.
• Strong hands-on experience with AWS services : S3, Glue, EMR, Athena, Redshift, Lambda, RDS, DMS, and IAM.
• Good experience in Python and PySpark.
• Practical experience with Apache Airflow for workflow orchestration.
• Strong SQL skills and understanding of database concepts.
• Experience in building and supporting ETL / ELT pipelines.
• Understanding of Data Lake architecture, data warehousing, and data modeling.
• Working knowledge of PostgreSQL or similar relational databases.
• Experience handling production pipeline issues and troubleshooting.

Good to Have :

• Experience with Hasura GraphQL or any GraphQL-based API / data-serving platform.
• Knowledge of DBT (Data Build Tool).
• Understanding of Lakehouse architecture and table formats such as Apache Iceberg or Delta Lake.
• Experience with Kafka or other streaming data technologies.
• Knowledge of Amazon Redshift performance optimization, distribution keys, and sort keys.
• Experience with AWS Aurora and API Gateway.
• BFSI, Banking, or Insurance domain experience.

Ideal Candidate Profile :

• Strong hands-on technical and problem-solving skills.
• Experience working on real-time or batch-based production data pipelines.
• Good understanding of data processing, transformation, and storage concepts.
• Ability to troubleshoot technical issues and work independently.
• Good communication and collaboration skills.

Note : Candidates with strong practical experience in AWS Data Lake, PySpark, Airflow, Python, and SQL will be preferred. Real-world project experience is more important than theoretical knowledge or certifications.

We are looking for a Database Developer (PostgreSQL) .

Requirements

- 5+ years of hands-on PostgreSQL experience in a production or production-adjacent context 

- Strong SQL skills, including joins, aggregation, common table expressions, window functions, upserts, and DDL

- Ability to read execution plans and use a systematic approach to diagnose and rewrite slow SQL statements

- Practical understanding of transactions, isolation levels, locking, and MVCC

- Experience with physical database design, including tables, keys, constraints, indexes, and partitioning

- Practical experience with data migrations, including bulk or incremental loads, cutovers, and validation

- Practical backup and restore experience, including retention, point-in-time recovery, or restore testing

- Ability to write reliable operational scripts and idempotent reconciliation or backfill processes

- Basic Python experience for data loading and operational scripting.

Nice to have

- Experience with a schema migration tool such as Alembic, Flyway, or Liquibase 

- Experience managing declarative partitioning at scale

- Experience with managed cloud PostgreSQL

- Experience tuning PostgreSQL statistics, autovacuum, bloat, and lock contention

About the Role

We are looking for enthusiastic Backend Developer Interns to join our team remotely for a 3-month internship. This is an excellent opportunity to gain hands-on experience in backend development, work on real projects, and expand your technical skills.

Responsibilities

• Assist in developing and maintaining backend services and APIs.
• Work with databases (SQL/NoSQL) for data storage and retrieval.
• Collaborate with frontend developers to integrate user-facing elements with server-side logic.
• Write clean, efficient, and reusable code.
• Debug, troubleshoot, and optimize backend performance.
• Participate in code reviews and team discussions.
• Document technical processes and contributions.

Requirements

• Basic knowledge of at least one backend language/framework (Node.js, Python/Django/Flask, Java/Spring Boot, or similar).
• Understanding of RESTful APIs and web services.
• Familiarity with relational and/or NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.).
• Knowledge of Git/GitHub for version control.
• Strong problem-solving and analytical skills.
• Ability to work independently in a remote environment.
• Good communication skills and eagerness to learn.

What You'll Gain

• Real-world experience in backend development.
• Mentorship and exposure to industry practices.
• Completion Certificate at the end of the internship.
• Letter of Recommendation based on performance.
• Opportunity to strengthen your portfolio with live projects.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Perks: Completion Certificate + Letter of Recommendation

Navtech is a premier IT software and services provider. Our mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future.

We have been recognized as the Best Cloud Service Provider by GoodFirms for delivering quality services and results. We strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients globally.

We are a fast-growing company serving clients across the United States, UK and Europe. You will work with a team of talented developers, quality engineers and product managers who are passionate about building impactful technology solutions.

About the Role

We are looking for an experienced Senior SQL Server / SSIS Engineer to design, develop, maintain and optimise database solutions and ETL workflows.

The ideal candidate should have strong hands-on experience with Microsoft SQL Server, SSIS package development, T-SQL programming, database performance tuning and data migration.

You should be comfortable working with existing database systems, troubleshooting complex issues, improving performance and ensuring data integrity, security and availability.

Key Responsibilities

• Design, develop and maintain SQL Server databases, database objects and logical data models.
• Develop, deploy and maintain SSIS packages for ETL processes and data integration.
• Build and optimise complex SQL queries, stored procedures, functions, views and triggers.
• Design and implement data extraction, transformation and loading workflows across multiple systems.
• Perform database migrations, data transformations and validation activities.
• Monitor and troubleshoot SQL Server databases, SSIS packages and SQL Server Agent jobs.
• Identify and resolve performance bottlenecks through query optimisation, indexing and execution plan analysis.
• Handle database administration activities, including upgrades, backups, recovery and maintenance.
• Ensure database performance, security, availability and data integrity.
• Troubleshoot database locking, blocking and resource utilisation issues.
• Collaborate with developers, QA engineers and other stakeholders to understand database requirements.
• Maintain technical documentation for database structures, ETL workflows and processes.
• Provide production support and proactively identify opportunities to improve database performance and reliability.

Who Are We Looking For?

• 6–10 years of experience in SQL Server development and database engineering.
• Strong hands-on experience with Microsoft SQL Server, preferably SQL Server 2016/2017 or above.
• Hands-on experience in developing, deploying and maintaining SSIS packages.
• Strong understanding of ETL processes, data integration and data migration.
• Advanced knowledge of T-SQL, stored procedures, functions, views and triggers.
• Experience in database performance tuning, query optimisation, indexing and execution plans.
• Experience in SQL Server monitoring, troubleshooting and resolving database performance issues.
• Good understanding of SQL Server Agent jobs, database backups, recovery and maintenance.
• Experience resolving database locking conflicts, blocking and resource utilisation issues.
• Knowledge of SQL Server system tables and Dynamic Management Views (DMVs).
• Experience with PowerShell scripting and automation is preferred.
• Exposure to AWS RDS, Azure SQL or other cloud database environments is an advantage.
• Knowledge of PostgreSQL or NoSQL databases is a plus.
• Experience leading or mentoring junior developers is preferred.
• Bachelor's or Master's degree in Computer Science, Software Engineering, IT or a related field.
• Excellent analytical, logical, troubleshooting and communication skills.

Good to Have

• Experience with SSRS or SSAS.
• Knowledge of AWS RDS or Azure SQL.
• Experience with PowerShell scripting.
• Exposure to PostgreSQL or NoSQL databases.
• Relevant Microsoft SQL Server certifications.

Why Navtech?

• Performance reviews and appraisals twice a year.
• Competitive compensation package with additional bonuses and benefits.
• Opportunities to work with renowned clients across the US, UK and Europe.
• Medical insurance coverage for self and immediate family.
• Opportunity to work with a culturally diverse and collaborative team.
• Opportunities for continuous learning and technical growth.

Required Skills/Experience

• 3-4 years of experience designing and/or developing web-based applications using JavaScript, Node, React, Angular, etc
• Strong understanding of JavaScript, browsers, mobile platforms, and real-time communication.
• Problem solving skills with data structures and algorithms.
• Hands-on experience developing responsive web applications and scalable backend systems.
• Strong experience in integrating third-party applications, APIs, and external systems.
• Ability to design, develop, and manage integrations between different platforms and systems.
• Hands-on experience using AI-powered development tools such as ChatGPT, Claude, GitHub Copilot, Cursor, or similar tools for coding, debugging, testing, and improving development productivity.
• Ability to learn and adapt to alternative technologies based on project requirements.
• Experience in the product development lifecycle, including prototyping, development, testing, hardening, and deployment.

Additional Skills/Experience  

• Experience with NoSQL databases such as MongoDB and Cassandra.
• Experience with UI component libraries and other popular JavaScript libraries and frameworks such as Vue.js.
• Eagerness to participate in product functionality and user experience design.
• Excellent group facilitation and communication skills, both verbal and written.
• Familiarity with i18n and the latest trends in UI/UX design.
• Experience implementing payment gateways applicable across different countries.
• Understanding of API integrations, authentication mechanisms, and data exchange between systems

Education Requirement

• B.Tech/M.Tech in CSE/IT/AI/ML only.

Location: Bangalore

Experience: 6+ Years

Role: Java Backend Developer

Required Skills:

Java.

PostgreSQL / Database Management.

AWS services such as:

AWS ECS

AWS Lambda

How to Apply

Interested candidates can share their updated resumes:

Email: revathi.r @vysystems. com

WhatsApp: 6 3 8 5 0 7 6 1 4 2

We are seeking a QA Automation Engineer for a full-time role based in Bangalore. The ideal candidate will have 4–8 years of experience in software testing and automation, with strong proficiency in Core Java and object-oriented programming (OOP). You will use Selenium WebDriver and Playwright to support automated testing and help assess application quality. The role also requires experience with PostgreSQL and SQL, Spring, Maven, CI/CD tools, and SVN. You will work with these technologies as part of the testing and development workflow, contributing to reliable, maintainable automation and effective collaboration across delivery processes. One position is available.

We're hiring Drumbeat's first Senior Product Engineer to help us go to the next level.

We're not first-timers. We're the team that founded Phrasee in 2015 and grew it to more than 100 people, customers around the world, and a >$100m exit. Lots of people made lots of money, including the founding employees.

With Drumbeat, our plan is to do it all again… except this time, bigger and faster.

What is Drumbeat?

Drumbeat (www.drumbeat.com) predicts your next best action on LinkedIn, then copilots your team to turn invites, DMs and posts into pipeline.

We launched in September 2025 and have raised a £2m seed round led by a well-known VC. We're building the core team around our cofounders (Parry, Jonny and Dan) and Mohit, our Engineering Manager and Phrasee's first engineer. You'll report to Mohit.

What you'll be building on

• Setlist: a short, ordered list of the right things for each person to do today.
• Radar: predicts who each rep should connect with now, not everybody who matches a job-title search.
• Riff and AuthorDNA: help people find something worth saying, and write it in their own voice.
• Campaigns, Conversations, Backstage and Analytics: team-wide activity, replies, company knowledge and reporting.

Under the hood: Django and PostgreSQL, background jobs on Redis, LLM workflows, statistical models that learn what works, and integrations with LinkedIn and CRMs. A lot of our code is written with AI coding agents, inside a strict engineering process.

How we think about engineering

1. "Human-first AI, not AI-first humans." AI agents write a lot of our code. They don't make our decisions. We want someone super smart without AI, and even smarter with it, who knows when the machine is blowing smoke.
2. "Spend 55 minutes on the problem." Understand what's actually wrong before you fix it.
3. "Fix the class, not the instance." Every bug is an example of something bigger. Find the pattern, and fix it everywhere it lives.
4. "A check must be able to fail." A test you've never seen go red proves nothing.
5. "You don't need a Ferrari to drive to the supermarket." Simplicity over cleverness, every time.

What you'll own

1. Technical architecture. How Drumbeat is built, so it holds up as we add customers, features and integrations.
2. Shipping features end to end. From Parry and Mohit's briefs, and turning Parry's MVPs into production features.
3. Foundations. Scale, resilience (safe retries, timeouts and fallbacks when outside services wobble), cost and refactoring.
4. What you build. Once it's live, it's yours: you maintain it and fix it.
5. The hardest bugs. The ones nobody else can crack.

Your experience

• 8+ years as an engineer, at a product company, preferably B2B SaaS.
• Time at a smaller company, so you know how to get stuck in.
• You've owned a system in production, not just added features to one.
• Senior Python and Django: Postgres, background jobs, correctness in production.
• System architecture and refactoring.
• You direct AI coding agents well, and explain trade-offs in plain English to people who aren't engineers.

Where you'll work

Delhi / NCR. You'll be in our Delhi office some days each week, alongside Mohit.

Pay

₹40–65 lakh CTC, plus equity that vests as the company hits revenue milestones.

This is probably not a job for most people. Don't apply if you want an easy job. Apply if you want a hard one: lots of responsibility, very little bureaucracy, plenty to figure out, and a genuine chance to shape what this company becomes… and make a bunch of money as a result.

If that sounds exciting, LET'S PARTY.

About the role

You'll take technical ownership of our Backend, Data & ML team and lead the backend development team. You'll design and scale our backend services, APIs and data systems, and bring data science and ML models into production. You'll also be the main technical link to the React Native and Next.js teams.

What you'll do

• Own backend architecture, API design, databases and data infrastructure.
• Design and build data pipelines and data models for analytics and ML.
• Lead the implementation, deployment and monitoring of ML models and data science algorithms in production.
• Work closely with the React Native and Next.js teams on API contracts, data flows and ML/DS integrations.
• Mentor the backend and data team, review code, and set engineering standards along with the TPM.
• Ensure system reliability, security, scalability and observability.
• Take part in the senior on-call rotation, including international paging.

What we're looking for

• 6+ years of backend development, with significant experience in data engineering.
• Strong expertise in Django, relational databases, and API design (REST/GraphQL).
• Hands-on experience building data pipelines.
• Some practical experience deploying ML models to production, including serving, versioning, monitoring and retraining (MLOps).
• Some understanding of common data science algorithms and ML techniques.
• Experience with cloud infrastructure (AWS, GCP or Azure), containers and CI/CD.
• Experience leading or mentoring engineers.
• Excellent communication skills. You should be able to explain backend and data decisions clearly to mobile and web teams.

Note: Full-stack experience is valuable but not mandatory. A strong backend and data specialist who works well with the frontend and mobile teams is a great fit.

Nice to have

• Python ML ecosystem experience (for example scikit-learn, PyTorch, TensorFlow or pandas).
• Experience with LLMs, recommendation systems or real-time data processing.
• Experience with unstructured data
• Familiarity with Next.js or React Native.
• Familiarity with US data protection requirements and compliance laws, such as FERPA or COPPA

About GeoIQ: 

GeoIQ(a Lenskart subsidiary) is a location intelligence platform that provides comprehensive data and insights to help businesses make informed decisions about their retail operations and expansion. It offers a range of data points, including demographic information, commercial activity, and market performance indicators, to give users a detailed understanding of a specific location or market. 

About the team: 

Our agile team, consisting of 40+ members, is led by a founding team with extensive experience in data analytics, machine learning, and product development. Embrace the opportunity to collaborate with seasoned professionals in a dynamic and innovative work environment. 

Responsibilities: 

• We’re looking for a Backend Engineer who thrives on solving real-world problems and is eager to build scalable, high-performance systems. You should have:
• Keen interest and ability to learn and continuously adapt to the market and technology.
• At least 2–4 years of relevant backend development experience.
• Strong knowledge and experience in Python (Flask) and SQL (we use PostgreSQL and PostGIS).
• Hands-on experience with MongoDB, Airflow and Nginx.
• Practical experience with Cloud Services, including:
• Familiarity with Google Cloud Platform (GCP): Cloud Functions, Cloudbuild, Cloud Storage, Cloud SQL, Cloud Logging, and Cloud Monitoring.
• Familiarity with Kubernetes is a bonus.
• Familiarity with GIS concepts is a plus.
• Strong background in designing and building REST APIs, with the ability to discuss architectural trade-offs and make sound technical decisions.

Why Explore a Career at GeoIQ: 

• Be part of a team that is revolutionizing decision-making for businesses across India.
• Work in a dynamic and innovative environment with ample opportunities for professional growth and learning.
• Contribute to the growth and success of a leading hyperlocal location AI startup in India. 

If you are passionate about creating intuitive and efficient front-end solutions and meet the requirements listed above, we would love to hear from you. Apply now to join our team at GeoIQ!

JOB DESCRIPTION

Position: Full-Stack Developer + DevOps Engineer

Department: Customer Support

Location:Chennai

Employment Type: Full-Time

Experience: Min 5 years of experience

Job Summary

We are looking for a hands-on Full-Stack Developer with DevOps experience who can build, deploy, maintain, and scale web applications. The ideal candidate should have strong experience in React, Python, cloud infrastructure, CI/CD pipelines, and application deployment. The candidate will be responsible for developing frontend and backend applications while ensuring reliable deployments, infrastructure management, and production performance.

Key Responsibilities

1. Full-Stack Development

* Develop responsive and scalable web applications using React.

* Build and maintain backend services, APIs, and business logic using Python.

* Integrate frontend applications with backend services and databases.

* Write clean, reusable, maintainable, and well-tested code.

* Debug application issues and improve performance and security.

2. DevOps and Cloud Infrastructure

* Manage and maintain cloud infrastructure using AWS and/or Microsoft Azure.

* Build, configure, and maintain CI/CD pipelines for automated testing and deployment.

* Automate application builds, releases, and deployment workflows.

* Manage server environments, application hosting, monitoring, and logging.

* Troubleshoot production issues and ensure application availability and reliability.

* Implement infrastructure automation and deployment best practices.

3. Collaboration and Ownership

* Collaborate with engineering, product, and QA teams.

* Participate in code reviews, technical discussions, and release planning.

* Identify opportunities to improve development workflows and deployment efficiency.

* Take ownership of application development, infrastructure, and production support.

Required Skills

·       Strong hands-on experience with React.

·       Proficiency in Python and backend development.

·       Experience building and integrating REST APIs.

·       Practical experience with AWS and/or Microsoft Azure.

·       Hands-on experience configuring and managing CI/CD pipelines.

·       Understanding of cloud deployments, servers, networking, and application monitoring.

·       Familiarity with Git, version control, and collaborative development workflows.

·       Strong debugging, troubleshooting, and problem-solving skills.

Good to Have

·       Experience with Docker and Kubernetes.

·       Infrastructure as Code tools such as Terraform.

·       Experience with databases such as PostgreSQL.

·       Knowledge of Linux, scripting, security, and cloud cost optimization.

·       Experience with automated testing and production monitoring.

Tech Lead – Data Lake Platform

Recruitment & Payroll Company: Neogencode Technologies

Job Location: Sector 43, Gurugram, Haryana

Work Mode: On-site (Work from Office)

Working Days: 5 days a week

Experience Required: 5+ years

Employment Type: Full-time

About the Opportunity

We are hiring a Tech Lead – Data Lake Platform. This opportunity involves working on an enterprise-grade AWS data lake platform supporting data engineering, analytics, reporting, and business applications.

The candidate will be employed on the payroll of Neogencode Technologies and will work at the client location in Sector 43, Gurugram.

Key Responsibilities

• Own and design end-to-end data lake architecture, including data ingestion, staging, curated layers, and data consumption.
• Lead data engineering pipelines using AWS services, Apache Airflow, Spark/PySpark, and dbt.
• Manage AWS data services such as S3, EMR, Glue, Athena, Redshift, Lambda, RDS, IAM, and DMS.
• Design and support API/data-serving solutions using PostgreSQL, Hasura GraphQL, or similar technologies.
• Improve pipeline performance, platform reliability, monitoring, and service-level agreements (SLAs).
• Ensure data security, access control, personally identifiable information (PII) protection, and governance.
• Mentor data engineers, conduct code reviews, and handle production incidents and root-cause analysis.
• Collaborate with business and application teams to deliver data and reporting solutions.

Required Skills

• 5+ years of experience in data engineering or platform engineering, including technical leadership.
• Strong hands-on experience with AWS data services and enterprise data lake architecture.
• Production experience with Apache Airflow, Spark/PySpark, and SQL.
• Strong understanding of data modeling and layered data architecture.
• Experience with PostgreSQL and Hasura GraphQL or a similar API/data-serving layer.
• Proven experience in technical leadership, production support, and troubleshooting.

Good to Have

• Experience with dbt and lakehouse table formats.
• Knowledge of Kafka or streaming data ingestion.
• Experience with Redshift optimization and workload design.

Job Title : Senior AWS Data Engineer – Data Lake Platform

Experience : 5+ Years

Location: Gurugram Sector 43, Haryana

Work Mode : Work From Office (5 Days a Week – Monday to Friday)

Open Positions : 8+

About the Role :

We are looking for a skilled Senior AWS Data Engineer with strong hands-on experience in building, managing, and optimizing enterprise-scale data lake platforms on AWS.

The ideal candidate will have expertise in AWS data services, PySpark, Apache Airflow, and large-scale data pipeline development. The role involves designing end-to-end data ingestion and processing workflows, maintaining data quality, optimizing platform performance, and supporting analytics and downstream data consumption requirements.

Mandatory skills :

AWS Data Lake, Amazon S3, EMR, Glue, Athena, Redshift, DMS, Lambda, RDS, IAM, PySpark, Apache Spark, Apache Airflow, Python, Advanced SQL, Data Modeling, Production Data Pipelines, Hasura/GraphQL, PostgreSQL, and Production Support.

Key Responsibilities :

• Design, develop, and maintain scalable AWS-based data lake platforms and end-to-end data pipelines.
• Build data ingestion, staging, transformation, curated, and consumption layers using AWS services.
• Develop and optimize data processing pipelines using PySpark, Apache Spark, and AWS EMR.
• Implement workflow orchestration and scheduling using Apache Airflow.
• Work with Amazon S3, AWS Glue, Glue Data Catalog, Amazon Athena, and Amazon Redshift for data storage, cataloging, processing, and analytics.
• Develop efficient SQL queries and implement data modeling strategies for enterprise reporting and analytics.
• Build and support data-serving solutions using Amazon RDS, AWS Lambda, API Gateway, and PostgreSQL-based platforms.
• Monitor pipeline performance, troubleshoot production issues, perform root-cause analysis, and ensure data pipeline SLAs.
• Implement data security, access controls, PII protection, and governance best practices across the platform.
• Optimize data processing performance, query execution, storage utilization, and AWS infrastructure costs.
• Collaborate with application, analytics, and business teams to deliver reliable and scalable data solutions.

Mandatory Skills :

• AWS Data Services : Amazon S3, EMR, Glue, Athena, Redshift, DMS, Lambda, RDS, and IAM.
• Data Engineering : Strong hands-on experience building and maintaining enterprise data lake platforms.
• Programming : Python, PySpark, and Apache Spark.
• Orchestration : Production experience with Apache Airflow.
• Database & SQL : Advanced SQL, data modeling, and query optimization.
• Data Architecture : Experience with data ingestion, staging, transformation, curated layers, and consumption architecture.
• Production Support : Pipeline monitoring, troubleshooting, root-cause analysis, and SLA management.
• API / Data Serving : Experience with Hasura or a similar GraphQL-based data-serving layer integrated with PostgreSQL.
• Platform Ownership : Ability to independently manage data pipelines, improve platform reliability, and collaborate with cross-functional teams.

Good-to-Have Skills :

• Experience with dbt for data transformation and modeling.
• Knowledge of data lakehouse architectures and table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.
• Experience with Amazon Redshift workload optimization, distribution keys, sort keys, and Spectrum.
• Knowledge of Kafka and real-time or streaming data ingestion.
• Experience with PostgreSQL or Amazon Aurora as a data-serving layer.
• Familiarity with data governance, compliance, and sensitive-data management.
• Experience in the BFSI or health insurance domain.

Ideal Candidate Profile :

• 5+ years of hands-on experience in AWS Data Engineering.
• Strong experience building and supporting production-grade AWS data lake platforms.
• Practical expertise in PySpark, Apache Airflow, SQL, and AWS data services.
• Ability to troubleshoot complex data pipeline issues and optimize performance.
• Strong understanding of data architecture, data modeling, and production support practices.
• Candidates with experience in enterprise data platforms and insurance or BFSI environments will be preferred.

About Orenda

Orenda is a fintech-enabled financial services company founded in 2017 and based in Ahmedabad, Gujarat. We work as a corporate DSA and channel partner for leading banks and NBFCs, helping individuals, professionals, and MSMEs access suitable financial solutions across business loans, personal loans, home loans, loan against property, and professional loans.

At Orenda, we combine financial expertise, technology, and streamlined processes to simplify the lending journey. We are building our own lending-tech platform to improve operational efficiency, strengthen lender and partner integrations, and develop technology-driven solutions that support our evolving business needs.

About the role

We're looking for a Lead Software Engineer who enjoys building as much as designing. You'll shape how our systems are architected, write a good share of the code yourself, and lead a team of 3 to 5 engineers, including AI/ML engineers.

This is a hands-on leadership role, not a pure management or architecture position. Your time will be roughly split like this:

Share of time

Leading the team ~30%

Solution design ~30%

Hands-on coding ~30%

Deployment and infrastructure~10%

What you'll work on

Solution design and architecture

• Turning business needs into technical designs that are practical to build and easy to maintain

• Making architecture decisions across services, integrations and data flows

• Estimating, scoping and planning new features with business and product stakeholders

• Shaping the solution design for AI/ML use cases alongside the AI/ML engineers

Engineering and delivery

• Writing production code in Python and Node.js

• Rolling out new features across our internal and partner-facing platforms, including our CRM and partner portal

• Continuously improving existing systems for performance, reliability and code quality

• Reviewing code and setting engineering standards for the team

Infrastructure and cloud

• Maintaining and upgrading our infrastructure, including a planned move to a major cloud platform

• Owning deployments and production stability together with the team

• Working with event-driven and messaging systems (NATS today, Kafka planned)

Team leadership

• Leading and mentoring a team of 3 to 5 engineers

• Planning and prioritising work, unblocking the team, and making sure things ship

• Building a culture of ownership, clear documentation and quality

What we're looking for

• 5 to 8 years of software engineering experience, with hands-on coding in your recent roles

• Strong command of Python and Node.js

• Proven experience designing and building backend systems and microservices that run in production

• Hands-on experience deploying and running workloads on at least one major cloud platform (AWS, Azure or GCP)

• Solid working knowledge of PostgreSQL

• Experience with messaging or event streaming systems such as NATS, Kafka or RabbitMQ

• Experience leading or mentoring a small engineering team

• Comfort estimating effort, breaking down features and planning delivery

• Enough understanding of AI/ML systems to guide their solution design and integration

• Clear communication with both technical and non-technical stakeholders

Good to have

• Experience working at a fintech, lending or financial services company

• Hands-on experience with Kafka

• Experience leading an infrastructure upgrade or cloud migration

• Experience building or scaling CRM or partner-facing portal products

Why Join Us?

• Build a growing lending-tech platform: Play a key role in shaping the technology behind a growing financial services business.
• Own technical decisions: Contribute directly to architecture, engineering standards, and technology direction.
• Stay hands-on: Combine solution design and technical leadership with meaningful coding responsibilities.
• Work with emerging technologies: Collaborate with AI/ML engineers and contribute to evolving platform capabilities.
• Lead and grow a team: Mentor engineers and help build a strong engineering culture as the technology function scales.
• Make a measurable impact: Build systems that improve operational efficiency and support business growth.

🚀 Job Title : Data Engineer – AWS, PySpark & Airflow

Experience : 5+ Years

Industry : Health Insurance / BFSI

Location : Sector 43, Gurugram, Haryana

Work Mode : Work From Office (5 Days a Week)

Employment Type : Full-Time

Role Overview :

We are looking for an experienced Data Engineer with strong hands-on expertise in AWS Data Engineering, Data Lake Architecture, Python, SQL, PySpark, and Apache Airflow.

The candidate will be responsible for designing, developing, and maintaining scalable, reliable, and high-performance data pipelines using AWS cloud technologies. The role involves building end-to-end ETL / ELT workflows, implementing data transformation and processing solutions, optimizing pipeline performance, and ensuring the reliability of production data systems.

Mandatory Skills :

AWS Data Engineering | Data Lake Architecture | Amazon S3 | AWS Glue | Amazon EMR | Athena | Redshift | Python | SQL | PySpark | Apache Spark | Apache Airflow | ETL/ELT | PostgreSQL | Data Modelling | Pipeline Optimization | Production Support | Root Cause Analysis

Key Responsibilities :

• Design, develop, and maintain end-to-end data pipelines for data ingestion, staging, transformation, curation, and consumption.
• Build and manage AWS-based data lake solutions using Amazon S3, AWS Glue, Amazon EMR, Athena, and Redshift.
• Develop, maintain, and optimize ETL / ELT pipelines using Python, SQL, Apache Spark, and PySpark.
• Implement and manage workflow orchestration using Apache Airflow, including scheduling, dependency management, retries, monitoring, and failure handling.
• Integrate data from multiple structured and semi-structured sources.
• Design and maintain data models, dimensional models, and analytical data marts.
• Work with relational databases, including PostgreSQL and Amazon RDS.
• Optimize Spark jobs, SQL queries, data transformations, and cloud resource utilization.
• Implement data quality checks, validation rules, and error-handling mechanisms.
• Monitor production data pipelines, troubleshoot failures, and perform root cause analysis (RCA).
• Ensure pipeline reliability, scalability, performance, and compliance with service-level agreements (SLAs).
• Follow data security, access management, governance, and sensitive-data protection best practices.
• Collaborate with business, analytics, and application teams to deliver effective data solutions.
• Maintain technical documentation and follow established data engineering standards.

Required Technical Skills :

• AWS Data Engineering : Strong hands-on experience with AWS-based data engineering and data lake architecture.
• AWS Services : Amazon S3, AWS Glue, Glue Data Catalog, Amazon EMR, Athena, Redshift, AWS Lambda, and IAM.
• Programming : Strong proficiency in Python and SQL.
• Big Data Processing : Hands-on experience with Apache Spark and PySpark.
• Workflow Orchestration : Experience developing and managing workflows using Apache Airflow.
• ETL/ELT Development : Experience building scalable data ingestion, transformation, and processing pipelines.
• Database Technologies : Good understanding of relational databases and PostgreSQL concepts.
• Data Modelling : Experience with data modelling, data transformation, and analytical data structures.
• Production Support : Ability to monitor pipelines, troubleshoot failures, perform RCA, and resolve production issues.
• Performance Optimization : Experience optimizing SQL queries, Spark jobs, and data processing workflows.

Good-to-Have Skills :

• Experience with AWS Database Migration Service (DMS) and Amazon RDS.
• Familiarity with dbt for data transformation and modelling.
• Knowledge of Delta Lake, Apache Iceberg, or Apache Hudi.
• Exposure to Apache Kafka and real-time data streaming.
• Familiarity with GraphQL, Hasura, or similar data-serving technologies.
• Understanding of data governance and data quality frameworks.
• Experience in the BFSI, healthcare, or health insurance domain.

Candidate Requirements :

• 5+ years of relevant experience in Data Engineering.
• Proven hands-on experience building and maintaining production-grade data pipelines on AWS.
• Strong understanding of data lake architecture and large-scale data processing.
• Practical experience with Apache Airflow and Spark / PySpark-based transformations.
• Strong programming, analytical, debugging, and problem-solving skills.
• Experience handling production incidents, pipeline failures, and performance bottlenecks.
• Ability to take ownership of deliverables and work effectively with cross-functional teams.
• Good communication, collaboration, and technical documentation skills.
• Willingness to work from the Gurugram office five days a week.

Ideal Candidate :

The ideal candidate is a hands-on Data Engineer who can independently build, optimize, and maintain AWS-based data pipelines, work with large datasets using PySpark, orchestrate workflows through Airflow, and resolve production issues in a business-critical environment.

Job Title : Senior AWS DevSecOps & AI Platform Engineer

Experience Required : 5+ Years in AWS / Cloud Engineering

Terraform Experience : 4+ Years

Location : Gurugram

Work Mode : Onsite

Employment Type : Full-time

About the Role :

We are looking for an experienced Senior AWS DevSecOps & AI Platform Engineer with strong expertise in AWS cloud infrastructure, Kubernetes, Infrastructure as Code (IaC), CI/CD automation, cloud security, and database administration.

The ideal candidate will be responsible for designing and maintaining secure, scalable, reliable, and cost-efficient cloud environments while supporting microservices-based applications and implementing DevSecOps best practices. The role also involves building and deploying AI agents using Amazon Bedrock and Bedrock AgentCore, along with managing enterprise development and collaboration tools.

Mandatory Skills :

AWS (EC2, EKS, ECS, Lambda, S3, CloudWatch), Kubernetes, Terraform, Jenkins, Bitbucket Pipelines, CI/CD, DevSecOps, AWS Security Services (IAM, WAF, GuardDuty, Security Hub, KMS, Secrets Manager), Microservices, Helm, PostgreSQL, Oracle SQL, RDS, Jira, Confluence, Amazon Bedrock, Bedrock AgentCore, AWS Networking, and Cloud Cost Optimization.

Key Responsibilities :

• AWS Cloud Infrastructure : Design, implement, and maintain AWS infrastructure with a focus on scalability, availability, security, reliability, and cost optimization.
• Microservices & Containerization : Manage and support distributed microservices architectures, including deployment, monitoring, troubleshooting, performance optimization, service meshes, and API gateways.
• Kubernetes Administration : Administer and optimize Kubernetes clusters, including Amazon EKS and self-managed environments, covering upgrades, networking, workload management, scaling, and resource optimization.
• Cloud Security & Compliance : Implement and manage AWS security services, including IAM, GuardDuty, Security Hub, WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
• DevSecOps Implementation : Integrate security testing, vulnerability scanning, container security, and compliance-as-code tools into CI/CD pipelines.
• CI/CD & Source Control : Manage Bitbucket repositories, branching strategies, permissions, and Bitbucket Pipelines. Build and optimize Jenkins pipelines using declarative and scripted approaches.
• Infrastructure as Code : Develop and maintain Terraform modules, manage remote state and workspaces, detect infrastructure drift, and implement reusable infrastructure provisioning practices.
• Database Administration : Provision, manage, secure, and optimize AWS RDS databases, particularly PostgreSQL and Oracle, including backups, replication, patching, performance tuning, and migrations.
• Jira & Confluence Administration : Manage projects, workflows, automation rules, permissions, user access, spaces, schemes, and plugins.
• Monitoring & Reliability : Define and monitor SLIs, SLOs, and SLAs; implement observability best practices; and participate in incident management, root cause analysis, and post-incident reviews.
• AI Agent Development : Design, build, and deploy AI agents using Amazon Bedrock and Bedrock AgentCore, including agent runtime, memory, tools, gateway integration, identity and access management, guardrails, and lifecycle management across environments.
• Cloud Connectivity : Support hybrid cloud connectivity using AWS Direct Connect, VPN, and Transit Gateway.
• Cost Optimization : Apply FinOps practices to monitor cloud expenditure, optimize resource utilization, and improve infrastructure efficiency.
• API Integrations : Integrate third-party APIs while implementing authentication, rate limiting, error handling, and webhook management.

Required Skills & Qualifications :

• 5+ years of hands-on experience with AWS cloud services, including EC2, ECS, EKS, Lambda, ALB, CDN, S3, CloudWatch, Amazon Bedrock, and Bedrock AgentCore.
• Strong understanding of AWS networking, multi-account strategies, landing zone architecture, and hybrid connectivity.
• 4+ years of practical experience with Terraform, including module development, remote state management, workspaces, drift detection, and state operations.
• Extensive experience administering Kubernetes, preferably Amazon EKS, including Helm, Kustomize, operators, RBAC, network policies, autoscaling, and multi-tenancy.
• Proven experience managing distributed microservices, service meshes, API gateways, and inter-service communication.
• Strong knowledge of AWS security services, including IAM, Service Control Policies (SCPs), WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
• Experience implementing least-privilege access, zero-trust principles, and cloud security compliance controls.
• Hands-on experience integrating DevSecOps tools such as Snyk, Trivy, Checkov, and SonarQube into CI/CD pipelines.
• Understanding of OWASP security principles, CIS benchmarks, vulnerability management, and container security.
• Proficiency in Bitbucket repository administration, branch permissions, and YAML-based Bitbucket Pipelines.
• Strong experience developing and maintaining Jenkins CI/CD pipelines, shared libraries, plugins, and build agents.
• Experience administering AWS RDS databases, particularly PostgreSQL and Oracle SQL, including backup, replication, performance tuning, and migration activities.
• Experience administering Jira and Confluence, including workflows, permissions, automation, and plugin management.
• Working knowledge of Azure services, particularly Web Apps and Logic Apps/Workflows.
• Practical experience with Amazon Bedrock, including model invocation, guardrails, and AI agent development and deployment using Bedrock AgentCore.
• Understanding of third-party API integration, authentication mechanisms, rate limiting, error handling, and webhook management.
• Familiarity with FinOps practices and cloud cost optimization.

Good-to-Have Skills :

• Additional Azure experience, including networking, Azure SQL Managed Instance, and Azure Kubernetes Service (AKS).
• Hands-on experience with AI-driven Development Lifecycle (AI-DLC) methodologies and tools such as Kiro.

Relevant certifications, such as :

• AWS Certified Solutions Architect
• AWS Certified DevOps Engineer – Professional
• AWS Machine Learning or Generative AI certifications
• Certified Kubernetes Administrator (CKA)
• HashiCorp Terraform certifications

Ideal Candidate Profile :

The ideal candidate is a hands-on cloud and DevSecOps professional who can manage enterprise-scale AWS infrastructure, automate deployments, strengthen security controls, troubleshoot complex distributed systems, and support AI agent development. Strong problem-solving skills, an automation-first mindset, and the ability to collaborate across development, security, and infrastructure teams are essential.

About AbleCredit:

AbleCredit is on a mission to solve the Credit Gap of emerging economies. In India alone, the Credit Gap is over USD 5T (Trillion!). This is the single largest contributor to poverty, poor genie index and lack of opportunities.

Ablecredit is a rare startup because we are probably the only revenue generating GenAI startup in India.

Key Responsibilities:

● Solving highly complex technical challenges and driving large-scale projects; developing robust and scalable web applications using Node.js, MongoDB

● Participate in system design, architecture, and help build scalable, high-performance systems

● Mentor junior engineers (SDEs and SDE-2s), driving technical decisions, and leading entire projects or initiatives

● Conduct code reviews and provide constructive feedback to team members.

● Architect efficient and reusable back-end systems and optimize applications for maximum speed and scalability.

● Implement security and data protection measures.

● Stay updated on emerging technologies and best practices in web development.

Qualifications:

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

● Minimum of 5 years of experience in backend web development.

● Proficiency in Node.js and typescript along with their core principles.

● Experience with server-side frameworks such as Express.js.

● Familiarity with database systems such as MongoDB, or PostgreSQL.

● Knowledge of RESTful APIs and asynchronous request handling.

● Excellent problem-solving and troubleshooting skills.

● Ability to work independently and as part of a team in a fast-paced environment.

● Effective communication skills and the ability to collaborate with stakeholders.

● Bonus: can whip up a front end or UI with AI agents or all by yourself.

Full Stack Engineer

About the Company

We are building an AI-powered platform that transforms credit origination by automating manual bottlenecks and enabling lenders to process more loans with greater accuracy and lower risk. Our mission is to revolutionize the $3 trillion+ asset-based finance market through advanced AI technology, deep industry expertise, and strategic partnerships.

The Opportunity

Join us at an exciting stage of growth as we build and scale an enterprise-grade financial technology platform. As a Full Stack Engineer, you will play a key role in developing core platform features, including a proprietary decisioning system, robust data security for AI applications, and advanced document-processing tools.

Your work will help automate document verification, data extraction, and decision-support workflows. You will collaborate with experienced engineers in a fast-paced, product-focused environment, working with technologies such as Node.js, PostgreSQL, Python, and React.

This is an opportunity to contribute to a high-growth startup, solve real-world financial challenges, and build scalable AI-powered solutions.

Key Responsibilities

1. Full Stack Development

• Design, develop, and maintain full-stack web applications using Node.js, Python, PostgreSQL, GraphQL, and React.
• Build scalable, reliable, and maintainable application features.
• Develop responsive and efficient user interfaces integrated with robust backend services.

2. AI and Document Processing

• Build Python-based AI pipelines to automate document processing and underwriting workflows.
• Contribute to document verification, data extraction, and decision-support capabilities.
• Support the integration of AI-powered features into the core platform.

3. Collaboration and Product Development

• Collaborate with product and engineering teams to translate user requirements into scalable and efficient code.
• Participate in technical discussions and contribute to feature planning and implementation.
• Work closely with team members to deliver high-quality product features.

4. Performance and Scalability

• Optimize application performance and ensure efficient data flow and real-time functionality.
• Identify and resolve technical issues across the application stack.
• Contribute to architectural decisions that support platform scalability and long-term growth.

5. Code Quality and Deployment

• Participate in code reviews, testing, debugging, and deployment.
• Follow software development best practices to ensure code quality, reliability, and maintainability.
• Contribute to CI/CD pipelines and application deployment processes.

Required Qualifications

• 3+ years of professional experience as a Full Stack Engineer.
• Strong proficiency in Node.js and PostgreSQL, with experience in Python and hands-on experience with React.
• Experience developing and maintain

Job Title : Full-Stack AI Product Engineer

Experience : 3+ Years

Work Mode : Remote

Time Zone : IST

Engagement Type : Freelance

Availability : Must be comfortable attending US client calls during IST night hours.

Role Overview :

We are looking for a Full-Stack AI Product Engineer with hands-on experience building and deploying production-ready AI-powered applications. The ideal candidate should have strong Python backend development skills, practical expertise in LLMs, AI agents, RAG pipelines and tool calling, along with basic frontend development knowledge.

Mandatory Skills :

Python, FastAPI, AI / LLMs, AI Agents, RAG, Tool Calling, PostgreSQL, Redis, Docker, GCP / Cloud Run, CI/CD, Basic React.js / Next.js.

Key Responsibilities :

• Design, develop and maintain AI-powered products using Python and FastAPI.
• Build and integrate LLM-based applications, AI agents, RAG pipelines and tool-calling workflows.
• Develop scalable backend services and REST APIs.
• Work with PostgreSQL and Redis for data storage, caching and performance optimization.
• Containerize applications using Docker and deploy services on GCP, preferably Cloud Run.
• Implement CI/CD pipelines and follow production deployment best practices.
• Develop and integrate basic frontend features using React.js or Next.js.
• Troubleshoot production issues, optimize performance and ensure application reliability.
• Collaborate with US-based clients and stakeholders during IST night hours when required.

Required Skills :

• 3+ years of relevant software development experience.
• Strong proficiency in Python and FastAPI.
• Hands-on experience with AI / LLMs and production-level AI product development.
• Practical experience building AI agents, RAG pipelines and tool / function-calling workflows.
• Good knowledge of PostgreSQL and Redis.
• Experience with Docker, GCP / Cloud Run and CI/CD pipelines.
• Basic working knowledge of React.js or Next.js.
• Understanding of REST APIs, application architecture, deployment and production debugging.
• Excellent problem-solving and communication skills.

Preferred Qualifications :

• Experience deploying and maintaining AI applications in production.
• Familiarity with LLM orchestration frameworks and vector databases.
• Experience with cloud-native application development and monitoring.

Important Requirements :

• Must have demonstrable, hands-on experience delivering production-grade AI products.
• Must be comfortable working remotely and coordinating with US clients during IST night hours.

# Job Description: Backend Developer (Microservices)

*Company:* PublicNext (ElectReps Pvt. Ltd.)

*Location:* Bengaluru, Karnataka

*Experience:* 0–1 Year

*Employment Type:* Full-time

## About PublicNext

PublicNext is Karnataka’s hyperlocal digital news platform, delivering news and video content across the state through its website and mobile applications. We are looking for a passionate Backend Developer to join our technology team and help build scalable, high-performance backend services using a microservices architecture.

## Role Overview

As a Backend Developer, you will design, develop, test, and maintain backend microservices that power PublicNext’s web and mobile applications. This role is ideal for fresh graduates or developers with up to one year of experience who are eager to learn backend engineering, APIs, databases, and scalable system design.

## Key Responsibilities

- Develop and maintain backend microservices for PublicNext’s web and mobile applications.

- Build and integrate RESTful APIs for news feeds, articles, videos, user activity, notifications, and other platform features.

- Write clean, efficient, maintainable, and reusable code.

- Work with databases such as PostgreSQL and MongoDB.

- Implement API validation, error handling, authentication, and authorization where required.

- Debug issues, fix bugs, and improve application performance.

- Write unit tests and participate in code reviews.

- Collaborate with frontend, mobile app, QA, and DevOps teams.

- Work with Git for version control and follow established development practices.

- Learn and contribute to deploying and monitoring services in a cloud environment.

## AI-Driven Software Development

- Hands-on experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude,kiro,antigravity, opencode , or similar tools.

-Ability to leverage AI for code generation, refactoring, debugging, test creation, documentation, and code reviews.

-Proficiency in AI-assisted development workflows, including prompt engineering, context management, and iterative code refinement.

-Ability to validate AI-generated code for correctness, security, performance, and maintainability.

## Required Skills

- Strong programming fundamentals in Go (Golang) or a willingness to learn Go quickly.

- Basic understanding of REST APIs, HTTP methods, JSON, and client-server architecture.

- Familiarity with SQL and relational databases.

- Basic knowledge of data structures, algorithms, and object-oriented or structured programming.

- Familiarity with Git and GitHub/GitLab.

- Understanding of debugging, error handling, and writing modular code.

- Willingness to learn microservices architecture, caching, and distributed systems.

## Good to Have

- Academic projects or internship experience in backend development.

- Exposure to PostgreSQL, MongoDB, Redis, or message queues.

- Basic knowledge of Linux, Docker, and cloud platforms such as AWS.

- Experience building APIs or backend services for web or mobile applications.

## Education

- B.E./B.Tech in Computer Science, Information Science, IT, or a related discipline.

- BCA, MCA, or equivalent qualifications will also be considered.

- Freshers with strong programming fundamentals and practical projects are encouraged to apply.

## Who Should Apply?

- Fresh graduates interested in backend engineering.

- Developers with 0–1 year of experience who enjoy solving technical problems.

- Candidates eager to learn Go, microservices, databases, and scalable backend systems.

- Candidates who take ownership, learn quickly, and work well in a collaborative team.

TEAM LEAD – BACKEND / FULL STACK ENGINEER (FINTECH)

Impacto Digifin Technologies Pvt. Ltd.

Bangalore (Brookefield) | Work from Office | Full-Time

Job Location

Bangalore (Brookefield) – Work from Office

Experience

3–5 Years

Employment Type

Full-Time

Department

Engineering / Product Development

Document Date

21 October 2026

Role Overview

We are hiring a hands-on Team Lead to design, build, and run the backend of our digital banking and payments products. You will lead a small team building Java and Spring Boot microservices, Apache Kafka event pipelines, and PostgreSQL data models that move real money for banks and their customers.

The role is backend-first, with full stack ownership: you will also guide ReactJS and Next.js frontends that sit on top of these services. You will own the full lifecycle, from requirement analysis and system design to production deployment, monitoring, and 24x7 support.

We want someone who treats correctness, auditability, and uptime as product features.

Key Responsibilities

A. Backend and Microservices Development

·   Design and build scalable, high-performance backend services using Java and Spring Boot.

·   Design and implement RESTful APIs, microservices, and third-party integrations with clear, versioned API contracts.

·   Implement authentication, authorization, input validation, and secure coding practices across all services.

·   Write clean, maintainable, and testable code, backed by unit, integration, and API tests.

B. Event-Driven Architecture with Apache Kafka

·   Build and maintain event-driven systems using Kafka producers, consumers, and Kafka Streams.

·   Design event schemas, topics, partitioning, and retention to match business flows.

·   Ensure exactly-once or idempotent processing so no event is lost or applied twice.

·   Handle retries, dead-letter topics, consumer lag, and replay for failed or delayed events.

·   Apply patterns such as Outbox, Saga, event sourcing, and CQRS where they fit.

C. PostgreSQL Data Design and Management

·   Design normalized, transactional data models in PostgreSQL for accounts, ledgers, payments, and customers.

·   Use ACID transactions, appropriate isolation levels, and row-level locking to keep balances correct under concurrent load.

·   Tune queries, indexes, partitioning, and connection pooling for high-volume tables.

·   Manage schema changes safely with versioned migrations (Flyway or Liquibase) and zero-downtime deployment.

·   Plan data archival, backup, point-in-time recovery, and read replicas for reporting.

D. Full Stack Ownership

·   Guide and contribute to responsive web applications built with ReactJS, Next.js, and TypeScript.

·   Integrate frontend applications with backend services and keep API contracts in sync.

·   Optimize end-to-end performance, responsiveness, and reliability.

E. Team Leadership

·   Lead, mentor, and support developers in daily technical work.

·   Break business requirements into technical specifications, tasks, and delivery plans.

·   Assign work, track progress, and deliver milestones on time.

·   Run code reviews, architecture discussions, and technical design reviews.

·   Participate in sprint planning, stand-ups, reviews, and retrospectives.

·   Coordinate with Product, QA, UI/UX, DevOps, Business, and Management teams.

·   Support technical interviews, onboarding, and knowledge sharing.

F. Deployment and Production Support

·   Use Git-based workflows, Docker, and CI/CD pipelines for builds and releases.

·   Own production health: troubleshoot incidents, fix performance bottlenecks, and lead root-cause analysis.

·   Maintain technical documentation, runbooks, and deployment procedures.

G. AI-Assisted Development

·   Use AI coding tools such as ChatGPT, Claude, GitHub Copilot, or Cursor for code, tests, debugging, and documentation.

·   Review and validate all AI-generated output before it reaches production.

Designing and Maintaining Banking Products

Designing Banking Products

·   Ledger-first design: build double-entry ledgers in PostgreSQL where every debit has a matching credit and balances can always be rebuilt from entries.

·   Transaction integrity: use idempotency keys, unique transaction references, and state machines so a request retried by a customer, bank, or network never posts twice.

·   Payment flows: design end-to-end flows for UPI, IMPS, NEFT, RTGS, and card or wallet payments, including timeouts, pending states, reversals, and refunds.

·   Distributed consistency: keep data consistent across microservices with Outbox, Saga, and compensating transactions instead of distributed locks.

·   Core banking integration: integrate with core banking systems such as Oracle FLEXCUBE or Finacle, NPCI and switch interfaces, and partner bank APIs.

·   Product configuration: model savings and current accounts, loans, deposits, and wallets so limits, charges, interest, and rules are configuration rather than code changes.

·   Customer lifecycle: support onboarding, KYC and e-KYC, account servicing, and closure with clear status tracking.

·   Security by design: encrypt sensitive data at rest and in transit, mask PII in logs, manage keys through HSM or a vault, and apply least-privilege access.

·   Regulatory compliance: build to RBI guidelines, including data localization, audit trails, and NPCI operating rules, and align with PCI DSS where card data is involved.

·   Controls: implement maker-checker approvals, transaction limits, velocity checks, and hooks for fraud and AML monitoring.

Maintaining Banking Products in Production

·   Reconciliation: run daily automated reconciliation between internal ledgers, partner banks, NPCI, and settlement files, and resolve mismatches within agreed timelines.

·   Settlement and batch jobs: own end-of-day and beginning-of-day processes, interest accrual, charges, and settlement runs, and make them safe to re-run.

·   High availability: design for 24x7 uptime with no single point of failure, graceful degradation, and defined RPO and RTO for disaster recovery.

·   Observability: track business and technical metrics such as transaction success rate, latency, and consumer lag in Prometheus and Grafana, with alerts before customers notice.

·   Incident management: lead incident response, customer-impact assessment, root-cause analysis, and post-incident fixes for failed or stuck transactions.

·   Safe change management: release through feature flags, canary or blue-green deployments, and backward-compatible APIs and schemas, with tested rollback plans.

·   Audit and reporting: keep immutable audit logs and support regulatory reports, internal audits, and data requests from banks and regulators.

·   Continuous improvement: track defects, performance, and technical debt, and plan regular upgrades of frameworks, libraries, and security patches.

Required Skills and Qualifications

Candidates must have hands-on experience in the following areas:

·   Backend: strong Java (Core Java, Java 17+), Spring Boot, Spring MVC, Spring Data JPA, and Spring Security.

·   Messaging: Apache Kafka, including producers, consumers, Kafka Streams, event design, partitioning, and offset management.

·   Database: strong SQL and PostgreSQL, including data modeling, transactions, isolation levels, indexing, and query tuning.

·   Architecture: microservices, distributed systems, event-driven design, OOP, and design patterns.

·   APIs: designing and documenting RESTful APIs with JSON and OpenAPI/Swagger.

·   Frontend: working knowledge of ReactJS, Next.js, JavaScript (ES6+), and TypeScript.

·   DevOps: Docker, Git (GitHub or GitLab), and CI/CD pipelines.

·   Testing: unit and integration testing with JUnit and Mockito, plus debugging and code review.

·   Leadership: experience guiding developers, reviewing code, planning tasks, and owning delivery.

·   Problem solving: strong debugging skills for production issues in distributed systems.

Mandatory Screening Requirement: Candidates must have strong backend experience in Java, Spring Boot, Kafka, and PostgreSQL, plus working frontend knowledge in ReactJS or Next.js. Frontend-only profiles will not meet the core requirement.

Good to Have

·   Payments domain: experience with UPI, IMPS, NEFT, RTGS, NPCI integrations, or card and wallet systems is highly preferred.

·   Message-driven patterns: event sourcing, CQRS, Saga, and Outbox.

·   Performance: experience building high-throughput, low-latency systems, such as payments or UPI switches.

·   Spring ecosystem: Spring Cloud, Spring Batch, Spring WebFlux, and Spring Integration.

·   Security: OAuth 2.0, JWT, OpenID Connect, encryption, key management, and OWASP practices.

·   Data and caching: Redis, PostgreSQL replication and partitioning, and Oracle Database or Oracle FLEXCUBE exposure.

·   Cloud and orchestration: Kubernetes, Jenkins or GitHub Actions, and AWS, Azure, or GCP.

·   Monitoring and quality: Prometheus, Grafana, ELK Stack, OpenTelemetry, and SonarQube.

·   Compliance: working knowledge of RBI guidelines, PCI DSS, and audit requirements.

·   Ways of working: experience in Agile/Scrum teams.

Preferred Domain Experience

·   Banking, Financial Services and FinTech.

·   Digital payments, lending, or core banking platforms.

·   Enterprise integrations and digital transformation projects.

Job Overview: 

We are seeking a skilled QA Engineer with expertise in testing frontend, backend systems, PostgreSQL, and ensuring dataflow and report consistency. The ideal candidate will have experience in performing API testing, including load and stress tests. You will be responsible for designing and implementing test plans to ensure our systems are reliable, scalable, and functionally sound. 

Key Responsibilities:

• Conduct thorough testing of frontend and backend components to ensure alignment with design specifications and functionality requirements.
• Perform comprehensive PostgreSQL testing, including database integrity checks, query performance analysis, and ensuring data consistency.
• Validate dataflow across systems to ensure data accuracy, consistency, and integrity in real-time or batch processing pipelines.
• Test the consistency of reports generated from databases, ensuring they reflect the correct, up-to-date data from the underlying systems.
• Design and execute API testing for both functionality and performance (load, stress, and scalability tests).
• Create, maintain, and enhance automated test scripts for frontend, backend, and API testing.
• Collaborate with developers, product managers, and other stakeholders to ensure clarity in requirements and testing coverage.
• Identify, document, and track defects using bug tracking tools such as Jira, and work closely with the development team for prompt resolution.
• Ensure that all testing results meet the highest quality standards and are aligned with project deadlines.
• Provide insights and suggestions for improvements in the testing process and tools

Required Skills & Experience:

• 2+ years of experience as a QA Engineer, with hands-on experience testing frontend and backend applications.
• Strong experience with PostgreSQL or similar relational databases, including writing SQL queries to validate data and performance.
• Experience with API testing tools such as Postman, SoapUI, or JMeter for functional, load, and stress testing.
• Familiarity with load and stress testing methodologies to validate system performance under varying conditions.
• Experience testing data pipelines and ensuring dataflow consistency across ETL processes and distributed systems.
• Strong understanding of data validation, report consistency, and how data should move accurately through multiple systems.
• Experience with backend testing, including working with RESTful APIs and validating request/response cycles.
• Familiarity with version control systems (e.g., Git).
• Strong problem-solving skills with the ability to troubleshoot and isolate issues in a complex system.
• Excellent communication skills to interact effectively with cross-functional teams.

Nice to Have:

● Experience with CI/CD pipelines to automate testing and deployment processes.

● Knowledge of NoSQL databases like MongoDB in addition to relational databases.

● Familiarity with cloud platforms such as AWS, GCP, or Azure for testing cloud-based applications.

● Experience with performance monitoring tools like New Relic, Dynatrace, or Grafana.

● Experience with test automation frameworks like Selenium, Cypress, or TestCafe for frontend testing.

Qualifications:

● Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).

● Proven track record in testing web applications, data pipelines, and APIs.

What We Offer:

● Competitive salary and benefits package.

● A chance to work on challenging and cutting-edge technologies.

● Flexible working hours and remote work options.

● Opportunities for career growth and learning.

● An inclusive and collaborative work environment

Hiring: 10 openings for Associate Data Forward Deployed Engineer (0–2 yrs) for a fast-growing AI platforms & services company, Hyderabad (confidential client) via Ziro.digital.

Location: Hyderabad (onsite, full-time). Open to candidates from anywhere in India willing to relocate. Experience: 0–2 years. 2024/2025/2026 graduates welcome (B.Tech/B.E/MCA/M.Sc CS/IT or related).

What you'll do: build data pipelines end to end (ingest, transform, model, deliver), work with clients on their data, and use AI for query generation, data quality and debugging.

Must have: strong SQL (write, read, tune); Python for data; SQL Server and/or Postgres; at least one end-to-end data pipeline; data-analysis fundamentals; a GitHub with data projects.

Good to have: S3/Azure Blob, Airflow/mage.ai, DBT/Fabric, Snowflake/Databricks/BigQuery, GitLab CI/CD, Grafana, LLM/RAG awareness.

Compensation & terms: 6-month paid internship at ₹20,000/month, then ₹7 LPA CTC on conversion. Relocation to Hyderabad required.

Selection: Ziro assessment (Communication, Technical, AI interview, Coding), then the company's rounds (aptitude, AI screening, project build, in-office hackathon, technical panel, leadership).

Apply by Wed 21 Oct 2026.

Screening questions (please answer in your application):

1) Willing to relocate to Hyderabad and work onsite?

2) Do you accept a 6-month internship at ₹20k/month, then ₹7 LPA?

3) GitHub link + one project you built.

4) Graduation year, current city, notice period.

Roles and Responsibilities

• Build features across the stack — Implement product features that span the React frontend, the GraphQL federation, the Node.js microservices, and the underlying Postgres and ClickHouse stores.
• GraphQL federation work — Add types, resolvers, and subgraph capabilities to the federated Platform API. Keep subgraph boundaries clean. Respect RBAC enforcement at the federation layer.
• Developer experience surfaces — Lift NPS through intuitive UI/UX, fast onboarding, in-browser testing, clear error states, code-snippet generation, and fast time-to-first-successful-call.
• Billing and commerce features — Ship subscription, plan, invoice, payout, and overage features that touch Stripe / PayPal webhooks, the billing state machine, and the usage ledger.
• API catalog and discovery — Improve marketplace search and the API listing experience, including the ranking signals that flow in from the analytics and search stack.
• Observability and quality — Instrument every feature you ship — logs, traces, and metrics are part of the definition of done, not a follow-up ticket. Write the alerts that page you, not someone else.
• Testing discipline — Own unit and integration tests for everything you ship; contribute to the end-to-end and contract test suites that protect the federation and the billing path. A feature without tests is not done.
• On-call and incident response — Take part in on-call rotations; investigate proxy errors, GraphQL federation timeouts, and billing webhook anomalies. You build it, you run it.
• LLM-assisted engineering — Use LLM-based coding and agentic tooling to evolve how features are shipped, reviewed, and tested.

What Success Looks Like

•  Features you ship measurably improve activation, time-to-first-successful-call, and developer NPS quarter over quarter.
• The GraphQL federation surface you touch stays fast, well-typed, and intuitive for the next engineer.
• Billing, subscription, and overage flows you build are accurate, auditable, and replayable — providers and consumers trust the numbers.
• ou ship at a confident cadence — PRs land daily, deploys are routine and boring, regressions are rare.
• You leave the code, the docs, and the tests in better shape than you found them.

What You Bring

• 4–7 years of full-stack product engineering experience, with non-trivial work on production systems used by real customers.
• Strong TypeScript/Node.js; comfort writing both frontend (React) and backend services.
• Hands-on GraphQL experience — ideally federation (Apollo Federation / Mercurius / similar), schema design, subgraph composition, persisted queries, performance tuning.
• Solid SQL and comfort with MySQL or Postgres in production; bonus for ClickHouse or Redis experience.
• Familiarity with AWS (EKS, Lambda, Aurora) and containerised deployment on Kubernetes.
• Comfortable with modern observability, feature flags, and CI/CD pipelines.
• Care for developer experience — APIs you would want to consume, docs you would want to read, errors you would want to debug.
• Bonus: experience with billing/commerce systems (Stripe / PayPal), API gateways, rate-limiting, agent protocols (MCP, A2A, x402), or LLM-based developer tooling.
• You are pragmatic, ship-oriented, and comfortable in a system big enough that no one person knows all of it.

Job Title: AI-Native Full-Stack Developer Experience: 3+ years Location: Hyderabad, India (Hybrid) Type: Full-time About the Role Build and deliver SaaS platforms, web applications, and mobile apps using an AI-native development approach at Incepteo Labs. You'll work with LLMs, generative AI frameworks, and modern full-stack technologies to ship secure, production-grade products for global customers. This role is for a hands-on developer who thrives in a fast-paced environment, writes clean and secure code, and is passionate about leveraging AI to build better products faster. You'll collaborate with experienced leads and global clients to deliver solutions that scale. What You'll Do • Build and deliver full-stack solutions — SaaS platforms, web apps, and mobile applications — using an AI-native development approach • Develop AI-powered features using LLMs, RAG pipelines, agentic AI patterns, and frameworks such as LangChain and LangGraph • Implement secure payment gateway integrations, subscription billing, and pricing plan management across products • Write high-quality, secure code with a strong focus on cybersecurity — addressing OWASP vulnerabilities, data protection, and secure authentication patterns • Collaborate with global customers and internal teams via clear documentation, video calls, and presentations • Embed AI tools across the development lifecycle — code generation, testing, documentation, and deployment • Stay current with AI/ML trends, LLM advancements, and emerging security threats What We're Looking For • 3+ years of full-stack development experience with shipped products • Proficiency in modern stacks — React, Python, Node.js, TypeScript, and cloud platforms (AWS/GCP/Azure) • Hands-on experience with LLMs, generative AI, and frameworks like LangChain, LangGraph — understanding of RAG, context management, memory, and prompt engineering • Experience integrating payment gateways (Stripe, Razorpay, or similar) and building pricing/subscription models • Strong understanding of cybersecurity principles — secure coding practices, vulnerability assessment, OWASP Top 10, and data protection • Good communication skills — comfortable on client calls and writing clear documentation • Experience working in a startup or fast-paced environment • Self-starter with curiosity for emerging technologies and AI trends Why Incepteo Labs Incepteo Labs is a digital and AI innovation partner with a presence across the UK, India, USA, and Europe. You’ll be joining a fast-growing company that brings together startup agility with enterprise-grade delivery standards. At Incepteo, we believe in ownership, collaboration, and bringing ideas to life. Creative, energetic global company with a portfolio of exciting brands

About Solutionara

Solutionara is an AI-led IT Consulting and Technology Services organization delivering enterprise transformation through Cloud, Integration, Data Engineering, Digital Experience, AI, and Enterprise Applications.

Headquartered in the United States with a Global Delivery Center (GDC) in Noida, India, Solutionara partners with enterprise organizations across retail, manufacturing, distribution, consumer goods, and other industries to design, implement, and support scalable technology solutions.

As a rapidly growing consulting organization, we foster a culture of ownership, innovation, collaboration, and continuous improvement, empowering our teams to contribute beyond their immediate responsibilities while delivering exceptional value to our global clients.

Every team member is expected to think like a consultant and business problem solver—understanding client objectives, challenging assumptions when appropriate, leveraging AI responsibly, and continuously identifying opportunities to improve quality, productivity, and customer outcomes.

AI is embedded into how we work, but it is an enabler—not a replacement for expertise, critical thinking, or accountability.

Role Overview

Solutionara is seeking a Senior Data Engineer with strong data engineering and database expertise to design, build, optimize, and support enterprise-scale data solutions.

This is a hands-on engineering position requiring strong SQL, Python, ETL/ELT, database, cloud, and troubleshooting capabilities. The engineer will work closely with technical leads and client stakeholders while taking ownership of major engineering components.

Location: Noida, India – Onsite | Employment Type: Full-Time | Experience: 6–9 Years

Key Responsibilities

Data Engineering

• Design, develop, test, deploy, and support scalable ETL/ELT pipelines.
• Build ingestion and transformation solutions across databases, APIs, files, and enterprise applications.
• Develop high-quality SQL and Python-based data processing solutions.
• Implement batch and incremental data-processing patterns.
• Develop reusable engineering components and frameworks.
• Support complex data migration and transformation activities.
• Perform source-to-target mapping and technical data analysis.
• Implement pipeline logging, monitoring, exception handling, and recovery mechanisms.

Database & Platform Engineering

• Design and optimize relational database schemas and data structures.
• Analyze and improve SQL/query performance.
• Support indexing, partitioning, storage optimization, and database performance.
• Implement appropriate database security and access controls.
• Support database monitoring, availability, backup/recovery, and operational requirements in collaboration with infrastructure/platform teams.
• Troubleshoot database and pipeline performance issues.
• Contribute to cloud data-platform configuration and optimization.

Data Quality

• Implement automated validation and data-quality controls.
• Develop reconciliation processes between source and target systems.
• Identify duplicate, incomplete, inconsistent, and invalid data.
• Implement cleansing, standardization, validation, and exception-management logic.
• Work with technical and business stakeholders to understand and implement business data rules.

Technical Delivery

• Convert technical designs into reliable production solutions.
• Participate in technical design and code reviews.
• Mentor junior/mid-level engineers.
• Support estimation and technical planning.
• Troubleshoot complex production and integration issues.
• Collaborate with technical leads, application teams, DevOps, QA, BI, and client teams.
• Document technical designs, mappings, configurations, operational procedures, and engineering decisions.

Consulting & AI-Led Working

• Understand the business purpose behind assigned engineering requirements.
• Raise risks, assumptions, dependencies, and potential improvements proactively.
• Communicate effectively with client and internal stakeholders.
• Use AI-assisted tools to improve coding, testing, analysis, documentation, and troubleshooting productivity.
• Independently verify AI-generated code and recommendations before implementation.
• Identify opportunities for engineering automation and process improvement.

Required Qualifications

• 6–9 years of experience in data engineering, database engineering, data integration, or related areas.
• Advanced SQL skills.
• Strong hands-on Python experience.
• Strong ETL/ELT development experience.
• Strong relational database knowledge, such as SQL Server, PostgreSQL, Oracle, or equivalent.
• Experience with data modeling and database design.
• Experience with AWS, Azure, or another major cloud platform.
• Experience with modern data technologies such as Databricks, Snowflake, Redshift, Synapse, Glue, ADF, Airflow, dbt, or equivalent.
• Experience with performance tuning and optimization.
• Experience with data validation and reconciliation.
• Strong troubleshooting and analytical skills.
• Ability to take ownership of engineering deliverables with limited supervision.

Preferred Qualifications

• Experience working with enterprise ERP, CRM, PIM, PLM, MES, or related systems.
• Experience with manufacturing, retail, distribution, or consumer-goods data.
• Experience with CI/CD and infrastructure/platform engineering practices.
• Experience with API and event-driven integrations.
• Previous consulting or technology-services experience.

What Success Looks Like

• Pipelines and databases perform reliably at enterprise scale.
• Engineering solutions are maintainable, reusable, and well documented.
• Data issues are detected and addressed systematically.
• Junior engineers receive effective technical guidance.
• Problems are owned through resolution rather than simply escalated.
• Engineering decisions reflect both technical requirements and client business objectives.

We are looking for a skilled and driven E-Commerce Full-Stack Developer to join our development team at Catedge Blockchain AI Development Pvt Ltd. You will take ownership of building, scaling, and optimizing high-performance e-commerce applications, ensuring seamless user experiences, secure checkout flows, and robust backend architecture.

Key Responsibilities

• Full-Stack Development: Develop and maintain robust e-commerce features, product catalogs, user accounts, and checkout workflows using Django, Python, JavaScript, HTML, and CSS.
• Database Management: Architect scalable databases, manage PostgreSQL, and optimize queries for high-volume transactions and product data.
• API Integration: Build and integrate secure RESTful APIs for seamless frontend-backend communication and third-party service integration.
• Performance & Caching: Implement caching strategies using Redis to enhance application speed, page load times, and overall performance.
• Cloud & DevOps: Oversee AWS infrastructure deployment, server management on Linux environments, and scaling workflows.
• Security & Optimization: Ensure application security, protect user data, and optimize conversion funnels.

Requirements & Technical Stack

• Experience: 2 to 5 years of professional hands-on experience in full-stack web development.
• Backend: Deep proficiency in Python and Django web framework.
• Frontend: Strong command of JavaScript, HTML, and CSS.
• Databases & Caching: Solid working knowledge of PostgreSQL and Redis.
• Infrastructure: Experience with Linux server administration, cloud deployment, and AWS services.
• Bonus: A strong portfolio or live links showcasing previous e-commerce or complex web applications.

Key Responsibilities

• Build and ship features across the frontend and backend.

• Design and implement RESTful APIs with appropriate validation and error handling.

• Write clean, maintainable, well-tested code.

• Participate in code reviews and collaborate with the engineering team.

• Use AWS services such as S3 and Lambda for file storage, serverless functions, and scheduled tasks.

• Debug production issues using Sentry and New Relic.

• Contribute to CI/CD pipelines and deployment processes

Must-Have Skills

• Strong proficiency in Go (Golang).

• Hands-on experience with Next.js and TypeScript.

• Solid understanding of PostgreSQL, including queries, schema design, and migrations.

• Experience designing and implementing REST APIs.

• Familiarity with Git and collaborative workflows, including pull requests, code reviews, and branching.

• Strong problem-solving skills and the ability to debug independently.

Good to Have

• Experience with AWS services such as S3, Lambda, EC2, and CloudWatch.

• Experience with Docker and containerized deployments.

• Familiarity with CI/CD using GitHub Actions.

• Understanding of cron jobs and background task processing.

• Experience working in a small, fast-moving team. 

Role Overview

We are looking for an experienced Technical Lead with strong full-stack development expertise and proven team leadership skills to drive technical delivery, architecture, and application development.

Key Responsibilities

• Lead and mentor the development team.
• Design scalable application architectures and REST APIs.
• Drive hands-on development, code reviews, and technical decision-making.
• Manage task allocation, delivery timelines, and code quality.
• Collaborate with cross-functional teams to deliver business solutions.

Required Skills

• Strong hands-on experience in React.js, Node.js, Angular, PostgreSQL, and Docker.
• Expertise in REST APIs, application architecture, and database optimization.
• Minimum 5 years of team-handling experience.
• Strong problem-solving, communication, and leadership skills.

Preferred: Experience in manufacturing digital transformation, MES, ERP, Industry 4.0, or shop-floor digitization.

Job Description (JD) for the MySQL Database Administrator role

Experience: 4-8 Years 

Location : Mumbai 

Job Title: MySQL Database Administrator 

Responsibilities 

• Provision and configure MySQL database instances in clustered and non-clustered environments. 
• Ensure database performance, security, availability, and reliability. 
• Prepare and maintain database documentation, technical specifications, and operational procedures. 
• Perform database upgrades, backups, restoration, recovery, and migrations. 
• Monitor database and server resource utilization and perform performance tuning and optimization. 
• Manage database users, access privileges, periodic access reviews, audits, and documentation. 
• Configure, monitor, and troubleshoot MySQL replication. 
• Collaborate with application, infrastructure, development, and other stakeholder teams to resolve database-related issues. 
• Provide database and application deployment support, as required. 
• Perform database backup and restoration validation, data integrity checks, and post-migration validations. 
• Follow database change management, security, and operational best practices. 

Skills and Qualifications 

• Strong hands-on experience in MySQL database administration. 
• Good working knowledge of recent MySQL versions, preferably MySQL 8.x. 
• Understanding of MySQL storage engines, including InnoDB and MyISAM. 
• Practical experience in configuring, monitoring, and troubleshooting MySQL replication. 
• Knowledge of MySQL administration best practices, security, and high availability. 
• Proficiency in writing, analyzing, and optimising SQL queries. 
• Experience with MySQL features such as the Event Scheduler, audit logging, and performance monitoring. 
• Ability to assess database resource requirements based on application workloads and technical specifications. 
• Familiarity with other SQL and NoSQL databases, such as PostgreSQL and MongoDB. 
• Understanding of MySQL limitations compared with other relational database platforms and the ability to identify suitable workarounds. 
• Working knowledge of version control tools such as Git, SVN, or CVS. 
• Graduate degree in a relevant discipline and good verbal and written communication skills. 

Good to Have 

• Basic Linux administration, command-line troubleshooting, and Bash scripting skills. 
• Familiarity with application server frameworks such as JBoss, GlassFish, and WildFly. 

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

Enterprises stuck on Oracle carry license renewals, vendor-specific SQL nobody wants to touch, and application layers welded to the database underneath them. This role sits in our Application & Database Modernization pillar: you'll work an Oracle-to-PostgreSQL migration where Aedeon handles the mechanical conversion at scale and you own what the tools can't, which is the refactoring judgment inside large enterprise Java codebases.

You'll rewrite the SQL the application actually depends on, align it with the modernized schema, prove functional parity, and see the application through production cutover. Not a proof of concept. A system that ships.

What you will do?

• Decompose a large Java monolith into microservices: identify bounded contexts, extract services with the strangler-fig pattern, and define REST and event contracts.
• Apply proven microservice patterns: database-per-service (staged pragmatically), Saga with compensating actions, transactional outbox, idempotent consumers, and resilience patterns such as circuit breakers.
• Remediate Oracle- and SQL Server-specific code for Aurora PostgreSQL: rewrite embedded SQL, stored procedure calls, sequences, pagination, date handling and error handling, and update JPA/Hibernate or MyBatis mappings.
• Work closely with database migration engineers so application-layer SQL lines up with the converted target schema and supports environment cloning and refresh.
• Deploy and run services on Amazon EKS: Helm charts, health probes, JVM and resource tuning, autoscaling, ALB/NLB ingress, and Pod Identity for AWS access.
• Build and maintain GitHub Actions CI/CD pipelines for Java services: Maven/Gradle builds, scanned images in Amazon ECR, Flyway/Liquibase migrations, and promotion from dev to prod with approval gates and rollback.
• Automate testing: unit, Testcontainers integration, contract, API and smoke tests, plus parity and performance tests that prove modernized services match or beat legacy baselines. Wire the client's existing suites into the pipeline.
• Use GenAI-assisted tools (Claude Code) to accelerate code conversion, and validate their output rigorously.
• Instrument services for Dynatrace and support production cutover: rehearsals, validation, rollback planning and stabilization.
• Produce engineering documentation that outlives the engagement: design notes, code-migration runbooks, troubleshooting guides and knowledge-transfer material for the client's teams.
• Pair with client engineers and SMEs across US- and India-based teams, reviewing code and keeping business logic aligned.

What are we looking for?

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of professional Java development experience (Java, Spring Boot, Spring Cloud, JDBC, JPA/Hibernate or MyBatis).
• Hands-on experience decomposing a monolith into microservices in production: domain-driven design, Saga and event-driven integration (Kafka, SQS/SNS or EventBridge).
• Strong SQL expertise. You can analyze, optimize and rewrite complex SQL embedded in Java, and you've migrated application code from Oracle or SQL Server to PostgreSQL.
• Deep understanding of JDBC, ORMs, transaction management, connection pooling and database-driven application flows.
• Production experience running Spring Boot on Kubernetes (preferably Amazon EKS) with Docker and Helm.
• CI/CD experience with GitHub Actions: reusable workflows, environment approvals and OIDC authentication to AWS.
• Test automation skills: JUnit 5, Mockito, Testcontainers, REST Assured and consumer-driven contract testing.
• Working knowledge of AWS application services: Aurora PostgreSQL, RDS Proxy, KMS and IAM roles for workloads.
• Regular use of AI coding assistants in real delivery work.
• Excellent spoken and written English, and the ability to work US Mountain Time business hours with globally distributed teams.

You will be preferred if you

• Have exposure to automated code-refactoring tools or GenAI-assisted remediation workflows.
• Have experience with Amazon VPC Lattice or a service mesh.
• Have done performance testing (Gatling, JMeter or k6) and worked with observability stacks (Dynatrace or OpenTelemetry).
• Have worked on MuleSoft integrations and Ping Identity (OAuth 2.0 / OIDC).
• Have worked in SOX-regulated environments: change control, approvals and audit evidence.
• Have worked on e-commerce, subscription ordering or commission/compensation systems.
• Hold an AWS certification (Developer Associate or Solutions Architect) and have basic Terraform.

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:

NonStop io is seeking a proficient Java Developer to join our dynamic team. In this role, you will contribute to designing, developing, and maintaining high-quality Java-based applications. You will work closely with cross-functional teams, ensuring the delivery of robust and scalable software solutions.

Responsibilities:

• Develop and Maintain: Write clean, efficient, and maintainable code for Java-based applications
• Collaborate: Work with cross-functional teams to gather requirements and translate them into technical solutions
• Code Reviews: Participate in code reviews to maintain high-quality standards
• Troubleshooting: Debug and resolve application issues in a timely manner
• Testing: Develop and execute unit and integration tests to ensure software reliability
• Optimize: Identify and address performance bottlenecks to enhance application performance

Qualifications & Skills:

• Strong knowledge of Java, Spring Framework (Spring Boot, Spring MVC), and Hibernate/JPA
• Experience with microservices architecture, distributed systems, and complex system design
• Familiarity with RESTful APIs and web services
• Proficiency in working with relational databases like MySQL or PostgreSQL
• Experience with build tools like Maven or Gradle
• Understanding of version control systems, especially Git
• Strong understanding of object-oriented programming principles and design patterns
• Familiarity with automated testing frameworks and methodologies
• Understanding of AWS environments and cloud-based application deployment
• Experience working with CI/CD pipelines and DevOps practices
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work effectively in a collaborative team environment 

Why Join Us?

• Opportunity to work on cutting-edge technology products
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethic and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you

AI Prompt Engineer – Full Stack Development 

Location: Hyderabad 

Experience: 3–4 Years 

Job Overview 

We are looking for a Full-Stack Developer – AI Prompt Engineer with strong hands-on 

expertise in GraphQL and Prisma ORM and practical experience using AI-powered coding 

assistants such as Cursor, GitHub Copilot, Claude Code, OpenAI Codex, Kiro, and similar 

tools. 

The ideal candidate will combine full-stack development expertise, prompt engineering, 

and AI-assisted coding to build, enhance, debug, and optimize modern web applications. 

You will work in a design-led development environment where Markdown-based playbooks, 

architecture guidelines, component standards, and UI/UX conventions guide the 

development process. 

Key Responsibilities 

• Develop and enhance scalable full-stack web applications using React, Node.js, 

GraphQL, and Prisma ORM. 

• Design and implement GraphQL APIs, queries, mutations, schemas, and 

integrations. 

• Develop and maintain database models, relationships, queries, and migrations using 

Prisma ORM. 

• Leverage AI coding assistants such as Cursor, GitHub Copilot, Claude Code, OpenAI 

Codex, Kiro, and similar tools to accelerate development. 

• Create, test, and refine AI prompts to generate accurate, maintainable, and context

aware code. 

• Use AI-assisted development for feature implementation, debugging, refactoring, 

optimization, and code reviews. 

• Interpret Markdown-based architecture and design documentation and translate 

requirements into production-ready applications. 

• Follow established standards for API architecture, reusable components, database 

design, coding patterns, and UI/UX implementation. 

• Troubleshoot and resolve application issues using a combination of AI-assisted 

debugging and conventional development practices. 

• Collaborate with developers, designers, QA, and business teams to deliver reliable 

product features. 

• Contribute to improving AI-assisted development workflows, prompts, 

documentation, and coding standards. 

• Ensure AI-generated code is secure, efficient, scalable, testable, and maintainable. 

Mandatory Skills & Experience 

Core Technical Skills — Mandatory 

• Strong hands-on experience with GraphQL 

o GraphQL schema design 

o Queries and mutations 

o Resolvers 

o API integrations 

o GraphQL best practices 

• Strong hands-on experience with Prisma ORM 

o Prisma Schema 

o Database modeling and relationships 

o CRUD operations 

o Prisma Client 

o Migrations 

o Query optimization 

• Node.js – strong development experience. 

• React.js – hands-on experience building modern web applications. 

• Good understanding of REST APIs and API integration. 

• Good understanding of relational databases and data modeling. 

• Strong understanding of JavaScript/TypeScript. 

AI & Prompt Engineering — Mandatory 

• Strong practical understanding of Prompt Engineering for software development. 

• Hands-on experience with AI coding assistants such as: 

o Cursor 

o GitHub Copilot 

o Claude Code 

o OpenAI Codex 

o Kiro 

o Amazon CodeWhisperer 

o Lovable 

o Other AI-powered development tools 

• Ability to provide effective prompts and context to AI coding agents for generating 

and modifying production-quality code. 

• Ability to review, validate, debug, and improve AI-generated code rather than relying 

on generated output blindly. 

• Experience using AI tools for development, debugging, refactoring, testing, and 

optimization.

Preferred Skills 

• Experience with TypeScript. 

• Experience with PostgreSQL, MySQL, or similar relational databases. 

• Familiarity with AWS, Azure, or GCP. 

• Understanding of software architecture and design patterns. 

• Experience working with Markdown-based development guidelines or AI coding 

playbooks. 

• Experience integrating AI tools into software development workflows. 

• Exposure to automated testing and CI/CD practices. 

What We’re Looking For 

• Strong problem-solving and analytical skills. 

• Ability to understand existing codebases and architecture quickly. 

• Strong attention to code quality and maintainability. 

• Ability to effectively communicate with AI coding agents through well-structured 

prompts. 

• Comfortable working in a fast-paced, AI-first development environment. 

• Willingness to continuously learn and experiment with emerging AI development 

tools. 

Key Skills 

GraphQL | Prisma ORM | Node.js | React.js | TypeScript | Prompt Engineering | AI Coding 

Assistants | API Development | Database Design 

About Us:

Mirabel Technologies is the world's leader in media management software for the 

publishing industry with over 15,000 websites, magazines, and newspapers in 20 different 

countries who use Mirabel Products. This dynamic technology company is based in the 

booming seaside city of Fort Lauderdale, two blocks from beautiful Las Olas Boulevard and is 

known for its creative entrepreneurial environment and high employee retention levels. 

Mirabel recently launched Mirabel's Marketing Manager, a cutting-edge marketing 

technology startup product that focuses on email marketing, lead identification, customer 

relationship management, prospecting and data appending tools. The company is looking for 

dynamic employees 

We are seeking talented software developers who are passionate about coding and building & scaling

products. If you love taking on new challenges and have a problem solving mindset to solve problems through

code, you will be a perfect fit for our rockstar engineering team.

Roles and Responsibilities:

● Design and develop backend architectures to support robust, scalable, and secure web applications and

systems with a focus on backend development using Django.

● Design, implement and maintain high quality RESTful APIs to support seamless communication between

frontend, backend and other services.

● Design, implement, and maintain database schemas. Ensure the integrity, performance, and security of

data.

● Ensure the scalability and reliability of our backend infrastructure on AWS. Ensure reliable management of

infrastructure on cloud aiming for 0 downtime of systems.

● Write clean, maintainable, and efficient code, while adhering to best practices and industry standards.

Develop and maintain documentation for our backend systems, APIs, and data models.

● Conduct high quality code reviews and provide feedback to other team members to ensure best practices

are adhered to.

● Take ownership of the development, testing, and deployment of web applications. Break down high-level

business problems into smaller chunks and build systems.

● Work closely with the frontend development team, product managers, and designers to plan new features

and optimize existing ones.

● Constantly aim to improve performance and optimize systems by identifying bottlenecks and resolving

them for increased efficiency.

● Stay up-to-date with the latest technologies such as LLMs, and implement them as and when required

Skills and Qualifications:

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

● 4+ years of experience in full-stack web development, with a focus on backend development.

● Strong proficiency in Python and Django, including experience with Django Rest Framework.

● Experience working with SQL/PostgreSQL databases, including schema design, querying, and

optimization.

● Proficiency in AWS services such as EC2, RDS, S3, and Lambda.

● Familiarity of integrations with third party services and open source frameworks

● Strong understanding of data structures, algorithms, and software design patterns.

● Experience with containerization and orchestration technologies such as Docker and Kubernetes is a plus.

● Familiarity with LLM frameworks such as Langchain, OpenAI, Anthropic, LLaMa is a plus.

● Strong problem-solving skills and ability to work in a fast-paced environment.

● Excellent communication and collaboration skills.

We are a UK-based ecommerce company looking for a hands-on AI Automation & Integrations Engineer based in India to work directly with the founder.

Our goal is to progressively build an AI-first ecommerce operation by using AI, automation, APIs and software integrations to reduce manual work, improve decision-making and identify opportunities to increase revenue and profitability.

This is not a traditional data science or prompt engineering role. We are looking for a builder who can understand real business problems and turn them into reliable working systems.

What you will work on

• Build AI-powered automations and internal tools
• Connect ecommerce platforms and business systems through APIs and webhooks
• Build AI agents and LLM-powered workflows
• Automate repetitive operational processes
• Work with Shopify and ecommerce data
• Build automated reporting, alerts and business intelligence
• Develop inventory forecasting and operational tools
• Integrate AI with customer service, marketing, fulfilment and other business systems
• Identify new areas where AI and automation can improve efficiency, revenue or profitability
• Maintain and improve existing automations

Required skills

• Strong Python experience
• Strong understanding of REST APIs and webhooks
• Experience building software integrations and automations
• Practical experience using LLM APIs such as Claude, OpenAI or Gemini
• Experience working with databases such as PostgreSQL
• Git/GitHub
• Strong problem-solving ability
• Good written and spoken English
• Ability to work independently and take ownership of projects

Highly desirable

• n8n
• Shopify Admin API
• GraphQL
• JavaScript/TypeScript
• AI agents
• LangGraph/LangChain
• MCP
• AWS/GCP
• Ecommerce experience
• Data extraction/scraping
• Customer service or marketing integrations

We value real projects and practical ability more than certificates.

Candidates should be comfortable showing examples of AI automations, integrations, agents or software systems they have personally built.

Location: Remote, India

Experience: 3-7 years

Salary: ₹15-22 LPA depending on experience

Technology Stack: Next.js, Express.js, PostgresSQL, GCP

Location: Ahmedabad

About Medflix - empowering healthcare professionals for better care

Medflix (www.medflix.app/app) is a platform where healthcare professionals (doctors, medical students and more) stay updated through live talks, Q&As, support material and more. Through the platform we believe that these professionals can be empowered to deliver better care to patients (like our families) throughout the globe.

In its current (and evolving) form, it is a live learning and engagement platform seeing tremendous week-on-week growth through stellar speakers and a very active early community. The product is in the growth stages and you will be playing a key role in steering the tech to create a scalable and lovable product experience.

We are backed by startup, VC and PE veterans including Kunal Shah (CEO, Cred), Raghunandan G (Zolve, ex-TFS), Avnish Mehra (Everstone) and more.

Medflix is a platform by PlexusMD (www.plexusmd.com/app), a network trusted and loved (4.4 stars on Playstore and 4.4 on Appstore) by more than 3 lakh doctors in India and working closely with leading healthcare providers and companies like AIIMS, Jaslok, Hinduja, Apollo, HCG, Elsevier, Association of Physicians of India, Indian Association of Cardio-thoracic surgeons, Society of Nuclear Medicine, Govt of Gujarat (HFW Dept), Govt of Haryana (SIFHW), McKinsey and company, Takeda, Mankind and others.

About the Role

Tech stack (expertise in all is not required, experience in some will be sufficient):

• React / Next.js (required, at least 1 year of experience)
• Express.js (required, at least 1 year of experience)
• Familiarity with cloud services (gcp / azure / aws)
• PostgreSQL (or expertise in any relational database)
• Redis
• Docker/Kubernetes deployment (good to have)

For this role we are looking for engineers with an entrepreneurial mindset, an understanding of how startups operate and who like to get their hands dirty when unknown things come their way. You will work closely with the product team to prioritise and ship features with a predictable cadence.

As this role is full-stack, you need to have a good understanding of frontend design and be obsessed with responsiveness and pixel-perfect behaviour. On the backend side, an OCD for efficiency and optimisation is a required personality trait.

Demonstrated history of solving hard problems (frontend/backend or both) is a great-to- have.

Benefits and growth

While we ensure competitive compensation (plus ESOP options for deserving candidates), at Medflix, you will also have a strong say in how final solutions look. You will get the opportunity to learn to steer an accelerating rocket ship.

College credentials, background or years of experience are no bar for growth inside the company for enthusiasts who believe in our mission and demonstrate that passion to create a product that healthcare workers love. 

Job Description

We are looking for an experienced .NET Full Stack Developer with strong expertise in backend and frontend development. The ideal candidate should have hands-on experience in building, developing, and maintaining scalable web applications using C#, .NET/.NET Core, Angular 16, SQL, PostgreSQL, and AWS.

Key Responsibilities

• Design, develop, and maintain scalable web applications using C#, .NET and .NET Core.
• Develop responsive and user-friendly web applications using Angular 16, JavaScript, HTML, and CSS.
• Develop and integrate RESTful APIs and third-party services.
• Design, write, optimize, and maintain complex SQL queries, stored procedures, and database objects.
• Work with SQL Server and PostgreSQL databases.
• Implement application features following coding standards, security practices, and development best practices.
• Participate in the complete software development lifecycle, including design, development, testing, debugging, deployment, and maintenance.
• Deploy and manage applications using AWS cloud services.
• Develop and maintain CI/CD pipelines for automated build, testing, and deployment.
• Troubleshoot production issues and perform application performance optimization.
• Collaborate with developers, QA teams, business analysts, and other stakeholders to understand requirements and deliver quality solutions.
• Participate in code reviews and ensure code quality, scalability, maintainability, and security.
• Work in an Agile/Scrum development environment.

Mandatory Skills

• C#
• .NET / .NET Core
• ASP.NET Core
• Angular 16
• JavaScript
• HTML5 / CSS3
• SQL
• PostgreSQL
• REST API / Web API
• AWS
• CI/CD
• DevOps
• Git

Backend

• C#
• .NET / .NET Core
• ASP.NET Core
• Web API
• RESTful APIs
• Entity Framework / EF Core
• LINQ

Frontend

• Angular 16
• JavaScript / TypeScript
• HTML5
• CSS3
• Responsive UI development

Database

• SQL
• SQL Server
• PostgreSQL
• Complex queries
• Stored Procedures
• Database optimization

Cloud & DevOps

• AWS
• AWS cloud services
• CI/CD pipelines
• Build and deployment automation
• Git / GitHub
• Basic DevOps practices

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience working in Agile/Scrum environments.
• Good knowledge of Git and modern software development practices.
• Experience with application performance tuning and production support.
• Strong problem-solving and analytical skills.
• Good communication and collaboration skills.

We are looking for a Backend Engineer (SDE 2) to build scalable backend systems for EV charging infrastructure and energy management platforms. The role focuses on developing high-performance APIs, event-driven systems, and data pipelines that process EV telemetry, charging sessions, and energy analytics.

What You'll Own

- Design and develop scalable backend services and RESTful/WebSocket APIs.

- Build microservices using Go.

- Design and optimize databases for high-volume telemetry and charging-session data.

- Build event-driven systems and data pipelines using Kafka or similar messaging systems.

- Work on real-time and batch processing workflows for telemetry, energy metrics, and analytics.

- Improve application reliability, performance, monitoring, and observability.

- Deploy and operate services using Docker and Kubernetes.

- Participate in system design, architecture discussions, code reviews, testing, and technical documentation.

- Mentor and support junior engineers when required.

Required Qualifications

- 3 - 5+ years of backend development experience building scalable APIs and microservices.

- Strong proficiency in Golang.

- Strong understanding of PostgreSQL, MongoDB, or other relational/NoSQL databases.

- Experience with query optimization, indexing, schema design, partitioning, or replication.

- Experience building event-driven or distributed systems using Kafka or similar messaging systems.

- Familiarity with GCP or other cloud platforms.

- Experience with Docker and Kubernetes.

- Experience with monitoring and observability tools such as Grafana, Kibana, or ELK.

- Strong understanding of system design, scalability, and performance optimization.

- Experience writing clean, maintainable, testable code with unit and integration tests.

Nice to Have

- Experience working with EV charging, energy management, mobility, or IoT platforms.

- Experience processing high-volume telemetry or time-series data.

- Experience with real-time data processing and analytics pipelines.

- Experience with WebSockets or other real-time communication protocols.

- Experience with CI/CD and production infrastructure.

- Experience working with distributed systems at scale.

Why Join Us

- Build backend infrastructure powering EV charging and energy platforms.

- Work on distributed systems, real-time data, and high-volume telemetry.

- Solve challenging problems around scalability, reliability, and performance.

- Take meaningful ownership of production systems and technical decisions.

Job Title : Tech Lead – Data Lake Platform

Number of Positions : 2

Experience : 7+ Years

Role Type : Technical Lead / Data Platform Lead

Domain : Data Engineering / Data Platform / AWS

About the Role :

We are looking for an experienced Tech Lead – Data Lake Platform to lead the design, development, and operations of an enterprise-scale AWS-based Data Lake Platform.

The platform will ingest data from multiple business systems, process it through structured data layers, and serve data for analytics, reporting, APIs, and operational applications.

As a Tech Lead, you will be responsible for setting the technical direction, leading data engineering teams, driving platform reliability and performance, and owning the platform's delivery, governance, and production support end to end.

Core Tech Stack :

AWS | S3 | EMR | Glue | Athena | Redshift | DMS | Lambda | RDS | IAM | Airflow | Spark/PySpark | SQL | Data Modeling | Hasura | GraphQL | DBT | PostgreSQL/Aurora | Kafka

Key Responsibilities :

• Own the overall Data Lake Platform architecture, covering data ingestion, staging, curated layers, consumption, analytics, and API/data serving.
• Lead the design and development of production-grade data pipelines using AWS Glue, EMR/Spark, Airflow, DBT, Athena, and Redshift.
• Design scalable batch and analytics pipelines with a focus on reliability, performance, data quality, and maintainability.
• Own the API/data-serving architecture from consumption data → RDS/PostgreSQL → Hasura GraphQL → Lambda/API Gateway.
• Drive improvements in platform stability, including orchestration failures, cluster sizing, pipeline SLAs, query performance, and production reliability.
• Design and implement appropriate AWS security, access control, IAM, PII handling, and data governance practices.
• Lead technical discussions, architecture decisions, code reviews, and engineering best practices.
• Mentor and guide data engineers while ensuring high-quality and scalable engineering delivery.
• Own production support, incident management, troubleshooting, and root-cause analysis (RCA) for critical data platform issues.
• Develop and maintain runbooks, operational procedures, monitoring, and incident response practices.
• Collaborate with business, product, application, and analytics teams to onboard new datasets and support reporting, API, and data consumption requirements.
• Ensure the platform meets defined availability, performance, security, data quality, and compliance requirements.

Must-Have Skills :

• 7+ years of experience in Data Engineering, Data Platform Engineering, or related areas, including experience in technical leadership or architecture.
• Strong hands-on experience with AWS Data Services, including:
• Amazon S3
• AWS EMR
• AWS Glue
• Amazon Athena
• Amazon Redshift
• AWS DMS
• AWS Lambda
• Amazon RDS
• AWS IAM
• Strong production experience with Apache Airflow.
• Strong hands-on experience with Apache Spark / PySpark.
• Strong SQL skills and experience with data modeling, including layered data architecture, data marts, and enterprise data models.
• Experience with Hasura or a similar GraphQL layer for PostgreSQL-based data/API serving.
• Strong understanding of data lake architecture and enterprise data platforms.
• Proven experience leading engineers and driving technical decisions.
• Hands-on experience with production support, troubleshooting, incident management, and RCA.
• Strong understanding of data platform performance, scalability, reliability, and SLA management.

Good-to-Have Skills :

• Experience with DBT and modern data transformation practices.
• Experience with lakehouse table formats on Amazon S3, such as Apache Iceberg or similar technologies.
• Strong knowledge of Amazon Redshift workload optimization, including :
• Distribution keys
• Sort keys
• Spectrum
• External tables
• Experience with Kafka or other streaming/data ingestion technologies.
• Experience with PostgreSQL / Amazon Aurora as a data-serving layer.
• Experience with Lambda and API Gateway for API-based data serving.
• Experience with enterprise data governance, data quality, security, and compliance.
• Experience in BFSI / Banking / Financial Services / Insurance domain.

Ideal Candidate :

The ideal candidate is a hands-on Data Platform / Data Engineering Lead who can operate at both the architecture and implementation level. You should be comfortable designing an AWS Data Lake from end to end, leading engineers, troubleshooting production issues, and working closely with business and application teams to deliver reliable data products.

Primary Roles & Responsibilities

▸ At SDE-2 you will build, and maintain end-to-end RAG pipelines — from ingestion and chunking to retrieval and LLM response synthesis 

▸ Design and develop MCP (Model Context Protocol) servers that power AI agents and multi-step workflows 

▸ Development on Next.js / React.js frontend modules for our AI product suite 

▸ Own PostgreSQL database design — schema modelling, indexing strategy, query optimisation, and migration management 

▸ Integrate third-party AI APIs (Gemini, OpenAI, Anthropic, etc.) and open-source models into production-grade applications  

▸ Work directly with Founders for product and leadership to scope features, estimate effort, and make architectural recommendations 

▸ Stay ahead of the AI engineering curve — evaluate new tools, frameworks, and models and bring recommendations to the team 

▸ Deep hands-on experience with RAG: multi-stage retrieval, re-ranking, hybrid search, prompt engineering 

▸ Experience building or extending MCP servers — understanding of tool calling, context passing, and agent orchestration 

▸ Strong proficiency in Next.js and React.js — you've built production UIs with proper state management, routing, and performance considerations 

▸ PostgreSQL expertise: advanced queries, indexing, schema design for complex domains, migrations in production 

▸ TypeScript proficiency — you write it by default, not as an afterthought 

▸ Experience with at least one vector database (pgvector, Pinecone, Weaviate, Qdrant) 

Good to Have: 

▸ Experience with streaming LLM responses, tool/function calling, and multi-agent frameworks 

▸ Familiarity with LangChain, LlamaIndex, or custom agentic implementations 

▸ Exposure to cloud infrastructure (AWS / GCP / Azure) and containerisation (Docker) 

▸ Knowledge of frontend design systems, Tailwind CSS.

▸ Prior experience working directly with product or business stakeholders 

Responsibilities:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers - such as SQLAlchemy - and multi-RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc. ) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Requirements:

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Technical Skills:

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular.
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark.
• Databases: PostgreSQL, Oracle, SQL Server, Redis.
• Tools: pytest, Docker, Git, Nx.
• Cloud: Experience with AWS, Azure, or GCP preferred.
• Monitoring: Familiarity with OpenTelemetry and logging frameworks.

As a Solutions Engineer/Sales Engineer, you will act as a trusted technical advisor to prospective customers in the US market. You will own the technical evaluation journey end-to-end, from the first discovery call to closing the deal, by demonstrating how our platform solves real-world data integration challenges. This role involves working closely with global customers (primarily North America ), designing scalable architectures, running tailored product demos, and building proofs-of-concept that showcase value.

Responsibilities:

• Run technical discovery calls with Heads of Data, Data Engineering Managers, and CTOs to understand their stack, pain points, and constraints. These are global conversations, primarily with customers in North America and Europe, and you will own them end-to-end.
• Design and present reference architectures showing how Hevo fits into their existing data stack (e. g., Salesforce, Postgres, GA4 Snowflake, dbt).
• Run live product demos tailored to the customer's stack. These are not scripted walkthroughs. You will need to read the room, adapt on the fly, and handle unexpected technical questions with confidence.
• Own the technical evaluation from the first conversation to the closed deal by addressing deep technical questions and earning trust with engineering teams.
• Build proofs-of-concept by configuring real pipelines from source systems (Salesforce, Outreach, Postgres, MySQL) into destinations like Snowflake or BigQuery.
• Develop deep expertise in the data integration landscape, including native solutions from AWS, GCP, and Azure (AWS Glue, Azure Data Factory, Google Cloud Dataflow) as well as other data pipeline and integration platforms, and articulate Hevo's technical advantages in a way that lands with both technical and non-technical buyers.
• Partner with Account Executives to drive technical wins and with Customer Success to ensure smooth handoffs after a deal closes.
• Share customer feedback and patterns with Product and Engineering to influence the roadmap.

Requirements:

• 2 to 6 years of hands-on experience as a Data engineer, Analytics engineer, ETL/ELT developer, or Data warehouse engineer.
• Experience building and operating real data pipelines in production, including handling source schema changes, failures, and reliability issues.
• Strong fundamentals in SQL and at least one cloud data warehouse (Snowflake, BigQuery, or Redshift).
• Experience with at least one orchestration or transformation tool (Airflow, dbt, or similar).
• Exceptional communication and presentation skills.
• This is non-negotiable. You will be the face of Hevo's technical capability to a global customer base. That means:
• Your spoken English is clear, confident, and easy to follow for an international audience.
• You are comfortable presenting to groups of 5 to 15 people, including senior technical leaders, over video calls.
• You can structure a technical narrative, not just answer questions but guide a conversation toward the right conclusion.
• You can hold your own when a customer pushes back or challenges your recommendation.
• You have presented or demoed something technical to an audience before, in any context: internal reviews, client calls, meetups, or conferences.
• Genuine interest in customer-facing work, even if you have not done it formally before.

Good to have:

• Experience with CDC tools or data integration platforms, whether cloud-native (AWS Glue, Azure Data Factory, or Google Cloud Dataflow) or third-party pipeline and integration tools.
• Exposure to multiple source system types such as CRMs, ad platforms, SaaS APIs, and OLTP databases.
• Public technical writing, conference talks, or open-source contributions.
• Prior experience in customer conversations, even informally. For example, presenting to internal stakeholders or analytics teams or working with international teams across time zones.

Role Description

Software Engineer is a full-time role based in Hyderabad with Onsite work arrangement. This role involves designing, developing, and maintaining back-end services and APIs, ensuring high performance, scalability, and security across platforms. The engineer will participate in architecture discussions, code reviews, and technical decision-making, collaborating closely with product owners, QA, and cross-functional teams. Daily responsibilities include writing clean, maintainable code, troubleshooting complex issues, improving system performance, and contributing to best practices, documentation, and engineering standards. The role also includes mentoring less experienced engineers and supporting continuous improvement in development processes and tooling.

Key Requirements/Skills

4-7 years of overall experience in software development with strong expertise in building scalable web & mobile applications.

• Strong technical decision-making ability, including architecture design, technology selection and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, NextJS and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, Express JS, Nest JS, RESTful APIs, API design, and server-side architecture.
• Databases : Good Hands on Exprience in both SQL(PostgreSQL Preferred) & No SQL Databases
• Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models and integrating AI-based solutions to solve business problems. Expereince with Langchain, langgraph and Vector DBs, Voice AI(STT, TTS) Models and experience in using Open AI Tools (Calude, Cursor, etc.)
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.
• Certifications in AWS & Other skills and technologies will be an added advantage.

Educational Qualification

• B.Tech / M.Tech in CSE/IT/AI&ML only from a recognized university/college. 

Apply here (application form): https://forms.gle/EVnJ9dPSjHg5WzqH7

SuperKalam (YC W23) is building the best AI tutor platform out of India, in the vein of Duolingo. This is a high impact role. We are eager to talk to a Mobile Engineer with an amazing sense of quality in engineering deliverables and strong ownership.

Requirements

• Ideally 2 to 4 yrs of experience building mobile apps + backend (React Native and NodeJS/NestJS)
• Strong engineering fundamentals, loves great architecture and writes scalable code
• Uses AI in workflow beyond prompting: skills, plugins, workflows, loops, agents
• Mobile: high quality UI and smooth animations; handled performance, optimized app builds, push notifications. Bonus: bridges, widgets, own libraries
• Backend: CRUD APIs, Redis, queues, caching, PostgreSQL / MySQL, rate limiting, basics of scaling and security, cloud (AWS, Azure or GCP). Bonus: Elasticsearch
• Preferred: Gen AI engineering (production AI pipelines, agentic workflows, voice agents, RAG / knowledge graphs). Bonus: Python

Responsibilities

• Build new features and initiatives across backend and the mobile app
• Deployments, performance, push notifications
• Set up tooling and run experiments: crons, automation workflows, AI tooling
• Product and design reviews
• Keep pushing the team's tech quotient with evolving technology and AI tooling
• Decide for speed to production plus quality for today

Who will thrive here: 2+ yrs in a product based startup (including internship), enjoys complex engineering and product problems, engineering mindset (scripts, automation, quick dashboards), ownership mindset and a strong individual contributor, first principle thinking and clear communication.

Compensation: 15 to 35 LPA based on experience. ESOPs for the right candidate.

Interview: resume shortlisting, 30 min intro meet, 1h 15m in-person fundamentals round (JS/TS, no DSA), 1h 15m in-person system design (LLD), optional 2-3 day fullstack mobile assignment, optional 1h 15m system design (HLD).

Location: Bengaluru. Full-time. Full JD: https://www.ycombinator.com/companies/superkalam/jobs/2gkQmXq-mobile-engineer-react-native-fullstack

Lead Developer – Java, React, Node.js & AI/ML

Location: Mumbai

Experience: 8–10 Years

Job Type: Full-time

Job Description

We are looking for a Lead Developer with 8–10 years of experience in software development, with strong expertise in Java, React, and Node.js. The candidate should have at least 1 year of hands-on professional experience in Artificial Intelligence and Machine Learning and experience in building modern, scalable technology solutions.

Key Skills

Java, React, Node.js, AI/ML, MongoDB, PostgreSQL, Key-Value Caching, Vector Databases, ChromaDB, pgvector

Candidate should have strong software development experience along with good knowledge of modern databases, caching technologies, and vector search solutions.

Full-Stack Engineer (AI-Native) | 2-4 Years Experience

About the Role

We're hiring a Full-Stack Engineer who is equally comfortable building a polished Next.js interface and a reliable NestJS API behind it. You'll build customer-facing products, including AI-powered features like chat interfaces, streaming responses, and agent-driven workflows. You'll own features end to end, from database schema to UI, and use AI tools daily to ship faster without lowering the quality bar.

What You'll Do

Frontend

• Build responsive, accessible, high-performance UIs with React, Next.js (App Router, RSC) and TypeScript
• Build AI-facing interfaces: streaming chat UIs, tool-call/agent-status displays, and loading, error, and retry states for non-deterministic outputs
• Monitor web vitals and fix performance regressions

Backend

• Design and build scalable REST/GraphQL APIs and services with Node.js and NestJS
• Model, query, and optimize data in PostgreSQL (schema design, indexing, migrations) using an ORM like Prisma or Drizzle
• Implement auth, authorization, validation, background jobs, queues, and caching (Redis)
• Integrate LLM APIs (OpenAI, Anthropic, Gemini), including streaming (SSE/WebSockets), tool calling, retries, rate limits, and cost/latency control

AI-Assisted Engineering

• Use AI coding tools (Cursor, Claude Code, Copilot, etc.) for scaffolding, refactoring, debugging, and test writing
• Write and maintain project context for AI tools (rules files, AGENTS.md/CLAUDE.md, reusable prompts) so the whole team gets better output
• Review AI-generated code critically for correctness, security, performance, and maintainability

Team and Delivery

• Write unit, integration, and E2E tests, using AI to speed them up rather than skip them
• Take part in code reviews, sprint planning, architecture discussions, and on-call/incident follow-ups
• Document APIs, decisions, and runbooks clearly

Must-Have (Non-Negotiable)

Frontend

• Strong JavaScript (ES6+) and TypeScript
• React (hooks, state management, rendering behavior) and Next.js (App Router, SSR/SSG/RSC)
• HTML/CSS fundamentals, Tailwind or similar, responsive design, and accessibility basics

Backend

• Production experience with Node.js and a structured framework (NestJS preferred; Express/Fastify with good architecture is fine)
• Solid PostgreSQL skills: relational modeling, joins, indexes, transactions, query optimization
• API design: REST principles, pagination, versioning, error handling, input validation
• Authentication and authorization (JWT, OAuth2, sessions, RBAC)

Engineering Fundamentals

• Git, PR workflows, and code review habits
• Testing across layers (Jest/Vitest, React Testing Library, API/integration tests; Playwright/Cypress is a plus)
• Basic security awareness (OWASP top 10, secrets management, input sanitization)

AI-Assisted Development

• Daily, hands-on use of at least one AI coding tool (Cursor, Claude Code, Copilot, Windsurf, or similar)
• Ability to write clear prompts, give useful context, and break big tasks into steps an AI can handle
• Habit of reviewing, testing, and understanding AI output before committing it
• Basic understanding of how LLMs work: context windows, hallucinations, token cost, and why outputs vary

Nice to Have

• Redis, message queues (BullMQ, SQS, Kafka), or event-driven architecture
• Monorepo tooling (Turborepo, pnpm workspaces, Nx)
• Design system or component library work (shadcn/ui, Radix, Storybook)
• tRPC, GraphQL, or OpenAPI-driven type-safe clients
• Multi-tenant SaaS, payments (Stripe/Razorpay), or real-time features
• Open-source contributions, a side project, or shipped AI features you can demo

What We Expect From You

• Ownership: take a feature from schema to UI to production, and flag risks early
• Judgment over speed: AI makes you faster, and you're still accountable for every line you ship
• Security awareness: no secrets in prompts, no blind copy-paste of AI code, and sensitive data stays out of third-party tools
• Systems thinking: consider scale, failure modes, and cost, not just the happy path
• Learning speed: the AI tooling landscape changes every few months, and you keep up and share what works
• Clear communication: PRs, docs, and async updates that others can follow

If interested for this job pls contact us on this WhatsApp number, nine three one six one two zero one three two

Job Title: Senior Data Engineer

Position Summary

We are seeking a highly skilled Data Engineer with strong expertise in reporting infrastructure, data modeling, and analytics platforms. This role will focus on building scalable reporting solutions, optimizing data pipelines, and enabling data-driven decision-making across the organization. The ideal candidate will have deep experience with databases, data warehousing, and complex query development. While Ruby on Rails experience is beneficial, the primary emphasis is on data engineering and reporting systems.

Key Responsibilities

• Design, develop, and maintain reporting infrastructure and data platforms.
• Build and optimize complex SQL queries, data models, and reporting datasets.
• Develop scalable ETL/ELT pipelines and data integration processes.
• Design and maintain database schemas to support analytics and reporting requirements.
• Collaborate with business stakeholders to understand reporting needs and translate them into technical solutions.
• Implement data quality, governance, and performance best practices.
• Support and enhance enterprise reporting solutions and dashboards.
• Work with large-scale datasets in cloud data warehouse environments.
• Troubleshoot reporting issues and optimize database performance.
• Partner with engineering and product teams to establish sustainable data architecture.

Must Have: Technical Skills

• PostgreSQL
• Snowflake
• Advanced SQL
• Data Modeling
• Data Warehousing
• Reporting & Analytics Infrastructure
• ETL/ELT Development
• Query Performance Tuning

Success Profile:

The ideal candidate is a data-focused engineer who enjoys working with complex datasets, designing scalable reporting solutions, and building foundational infrastructure that empowers analytics and business intelligence teams. They should be comfortable navigating databases, optimizing queries, and translating business reporting needs into robust technical implementations.

Experience Range: 5-10 years

Role Type: Individual Contributor / Senior Engineer

Primary Focus: Reporting Infrastructure, Data Engineering, Data Warehousing, and Analytics Enablement.

🚨 Hiring: Senior Fullstack Engineer – ServiceNow

Experience: 8–12 Years

Location: Bangalore | Hyderabad | Chennai | Mumbai | Ahmedabad

Work Mode: Hybrid – 2 Days Work From Office Mandatory

Contract: 6 Months

Notice Period: Immediate Joiners Preferred

Shift: 1 PM – 11 PM IST

L1 Interview: In-person Mandatory

🔹 Role Summary

We are looking for a versatile Senior Fullstack Engineer with strong ServiceNow platform development, QA automation, and full-stack skills.

The role involves ServiceNow integration defect resolution, production triage, development, automated testing, release management, and general full-stack maintenance.

🔹 Key Responsibilities

Support / Triage / Defects

• Handle L2 support and escalation tickets.
• Troubleshoot ServiceNow platform and integration issues.
• Resolve L3 defects involving:
• ServiceNow ITSM/CMDB
• Flow Designer
• Scripted REST APIs
• GlideRecord / server-side scripting
• OAuth2 integrations
• Perform root-cause analysis for production incidents and integration issues.

Product Development

• Review peer code across ServiceNow and full-stack applications.
• Develop automated tests using Python and Playwright.
• Perform API testing using Postman and data validation using SQL.
• Manage test cases using Qase.
• Use AI-assisted tools such as Claude, Codex, or similar tools for QA automation.
• Support release management and CI/CD using GitHub Actions.
• Maintain ServiceNow Update Sets/XML exports and release documentation.

Customer Engineering

• Support customers in diagnosing technical issues.
• Troubleshoot ServiceNow integration problems.
• Handle general technical maintenance as a full-stack developer.

🔹 Required Skills

ServiceNow

• 6+ years hands-on ServiceNow development
• Flow Designer
• Scripted REST APIs
• Business Rules
• GlideRecord / Server-side scripting
• ITSM
• CMDB
• OAuth2 integrations
• ServiceNow CI/CD

Full Stack

• React.js
• TypeScript
• JavaScript
• REST APIs
• API-driven backend development

QA / Automation

• Python
• Playwright
• Automated testing
• Postman
• SQL
• Qase

DevOps

• Git
• GitHub
• GitHub Actions
• CI/CD
• Release management

🔹 Preferred Qualifications

• ServiceNow CSA / CIS certifications
• Semantic versioning and release/changelog practices
• Customer-facing support experience
• On-call support experience

🔹 Tools & Technologies

GitHub | JIRA | ServiceNow | Qase | Postman | Playwright | Python | React | TypeScript

NAO is building a B2B operational intelligence platform focused on strategic materials and critical components.

We are looking for a Senior Full-Stack Engineer to help turn an already-defined product concept and workflow into a working, customer-demonstrable MVP within 3 weeks.

This is not a website project. We need someone who can move quickly, make sound technical decisions, and build a reliable product demo.

Core Deliverables

• Working web-based MVP
• Frontend dashboard
• Backend + database
• Strategic materials & critical components data layer
• Operational exposure and impact workflow
• API / AI integrations where needed
• Deployment and handoff

Please apply only if you have experience building B2B SaaS or data-heavy products and availability to start immediately / within 7 days.

We are seeking an experienced MicroStrategy Technical Architect / Administrator to lead our enterprise business intelligence architecture, platform administration, and modernization initiatives. The role combines deep hands-on expertise across MicroStrategy server administration, migration automation via Command Manager and Object Manager, and high-performance Intelligent Cube modeling. Crucially, this individual will play a key technical role in supporting our data modernization initiative transitioning underlying reporting stores from PostgreSQL to the Snowflake Data Cloud.