Senior Backend / AI Systems Engineer, Automated Equity Research

About LH2 AI LabsLH2 AI Labs is an applied research lab solving data platform and curation challenges for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models.

Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI.

About the role:

This is a full-time, hands-on role where you will own the core infrastructure and systems that enable us to discover customers' data landscape, handle sensitive data like names, address securely and to clean and catalog them into training-ready datasets.

That path covers connectors and on-prem agentic discovery components, secrets and PII scrubbing, scale and cost efficient ingestion and clearance for use in model training. You lead a small team of 3-4 engineers and raise the quality bar in your pod.

What you'll own

• Connectors and extraction - You'll build connectors for common SaaS and databases (Google Workspace, Slack, Postgres/MySQL, Jira, MongoDB) and for specific tools such as Razorpay, GreytHR, Keka, Zoho and LeadSquared. The rule is to build only where no good open-source connector or clean export exists.
• On-prem scanning - You'll build a CLI or agent that runs at the data owner's end to sample and estimate the value of their data without shipping all of it to us.
• Clearance pipeline - Secrets detection across full git history, fail-closed. PII redaction for code and conversational data, including Indian identifiers (PAN, Aadhaar, GSTIN, IFSC, UPI). Measurable recall and precision.
• Lineage - Every output record must trace back to its raw source, and every lot must be revocable.
• Delivery - Packaging, sampling for buyers, and supporting the supply and BD teams on data questions.

You have

• 8+ years in backend or data engineering, with at least 2 years leading up to 4 or more engineers.
• You've built ingestion or ETL pipelines that run in production.
• Hands-on work with sensitive data such as PII, financial or health data, including redaction, masking or access controls.
• The judgment to decide what to build and what to adopt.

Nice to have

• Experience with Presidio, gitleaks/TruffleHog, dlt or Airbyte.
• Knowledge of DPDP, GDPR, HIPAA or SOC 2.
• You've shipped software that runs in customers' environments.

This is not a pure people-management role. You'll write code, review everything, and personally own the hardest problems in the pod.

We’re building financial data systems that power real business decisions — and we need someone who knows how to make Django, PostgreSQL, Celery, and APIs play nicely at scale.

You know what clean, reliable backend systems look like — because you’ve built them. You’ve handled authentication quirks, rate limits, and webhooks; you build code that’s maintainable, performant, and correct.

If you’re curious about financial data, transactions, and KPIs, and enjoy turning numbers into insight, this role is for you. (Experience with banking or accounting APIs is a big plus.)

What You’ll Do

• Build and maintain Django-based systems using Celery for async and scheduled tasks
• Integrate and manage data from multiple APIs (banking, accounting, analytics, etc.)
• Design and optimize internal APIs
• Improve reliability, scalability, and performance
• Collaborate closely with product and frontend engineers

Your Profile

You’re an experienced backend engineer who is strong in all core areas of modern Python development:

• Python, Django, Django REST Framework
• Celery and asynchronous / distributed task handling
• PostgreSQL and robust data modeling
• Docker and containerized deployment workflows
• Unit testing (pytest or equivalent) and maintainable test structures
• Git, CI/CD, and reliable deployment automation
• API integrations (REST, OAuth, webhooks)
• Caching strategies & background job handling (preferred Redis experience)
• Solid understanding of security, permissions, and performance optimization

You’ve already built or scaled production-grade systems and can take ownership from architecture to deployment.

Experience with fintech or data integration systems is an advantage.

How We Work

We’re a small, remote-first team that values ownership over micromanagement.

You’ll have freedom in how you work — what matters is your impact.

Our daily language is English.

About finban

We’re building a platform that helps businesses understand and manage their financial performance in real time by connecting and analyzing data from banking, accounting, and analytics systems.

If you’ve built or scaled production Django systems before and love clean architecture — we’d love to see your work.

Job Description

We are looking for an experienced Data Engineer with strong expertise in Python, ETL, SQL, CI/CD, and DevOps to design, develop, and maintain scalable data pipelines and data processing solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Develop data processing solutions using Python.
• Write complex and optimized SQL queries, stored procedures, and data transformations.
• Build and maintain data ingestion and integration workflows.
• Implement data quality, validation, monitoring, and error-handling processes.
• Develop and maintain CI/CD pipelines for data engineering applications.
• Work with DevOps tools and practices for automated build, deployment, and infrastructure management.
• Collaborate with data analysts, data scientists, software engineers, and business teams.
• Optimize data pipelines for performance, reliability, and scalability.
• Troubleshoot production data issues and ensure timely resolution.
• Follow best practices for version control, code quality, testing, and deployment.

Mandatory Skills

• Python
• ETL
• SQL
• CI/CD
• DevOps
• Git / Version Control
• Strong problem-solving and debugging skills

What you'll need

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 5+ years of professional data engineering experience.
• Experience designing and building cloud-native data solutions.
• Strong expertise with Google Cloud Platform, including BigQuery. Experience developing transformation frameworks using dbt.
• Strong SQL and Python programming skills.
• Experience with PostgreSQL or other relational databases.
• Experience orchestrating workflows using Apache Airflow or Cloud Composer.
• Experience implementing Infrastructure as Code using Terraform. Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar platforms.
• Experience developing scalable batch and streaming data pipelines. Strong problem-solving skills with the ability to balance scalability, reliability, and cloud cost optimization.

Preferred Qualifications

• Experience with Pub/Sub, Datastream, Dataflow, Cloud Storage, Cloud Functions, or Cloud Run.
• Experience building multi-tenant SaaS platforms.
• Experience implementing metadata-driven governance, lineage, and data quality frameworks.
• Experience supporting AI, machine learning, or customer-facing analytics platforms.
• Experience with Kubernetes and Docker.

Data Engineer Short Hiring Post

🚨 Hiring: Data Engineer

🔹 Experience: 5–9 Years

🔹 Location: Bangalore / Hyderabad

🔹 Skills: PySpark, Python, SQL, ETL, CI/CD, Data Modeling

🔹 Process: L1 Virtual → L2 F2F Karat Test

🔹 F2F: Bangalore / Hyderabad Location

🔹 Positions: Immediate requirement

⚠️ Note: Candidates must be available for F2F Karat immediately after L1.

#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners

About VerbaFlo.ai

VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.

Role Overview

We are looking for a Senior Backend Engineer to design and develop user-friendly, scalable, and high-performance web applications. This role requires deep expertise in backend technologies, attention to detail, and the ability to collaborate with cross-functional teams.

Responsibilities

• Design, develop, and maintain scalable backend systems, APIs, and data pipelines.
• Collaborate closely with frontend engineers, product managers, and AI teams to deliver cohesive features and seamless user experiences.
• Ensure the reliability, security, and performance of backend systems.
• Write clean, maintainable, and efficient code using modern backend practices.
• Implement automated testing, CI/CD workflows, and infrastructure as code (where applicable).
• Own the end-to-end lifecycle of backend features, from architecture to deployment.
• Monitor production systems and resolve performance and scalability issues.
• Contribute to architectural decisions and help evolve our engineering best practices.

Requirements

• 4–6 years of experience in backend development in startups, preferably in SaaS or AI-driven products.
• Proficiency in Node.js, Python, or Go
• Deep understanding of RESTful API design.
• Strong experience with databases: PostgreSQL, MongoDB, ElasticSearch.
• Exposure to message queues, job schedulers, or event-driven architectures (e.g., SQS, Celery, etc).
• Familiarity with cloud platforms like AWS, GCP, or Azure and containerization tools (Docker, Kubernetes).
• Experience with Git, CI/CD tools, and writing unit/integration tests.
• Strong problem-solving skills and a mindset geared toward performance and security.
• Excellent communication and collaboration abilities.

Why Join Us?

• Work directly with top leadership in a high-impact role.
• Be part of an innovative and fast-growing AI startup.
• Opportunity to take ownership of key projects and drive efficiency.
• A collaborative, ambitious, and fast-paced work environment.
• Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.

If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!

Most sales tools help you send emails. We’re building something different.

At Salesforge, we’re creating autonomous AI agents that can:

Find the right prospects

Generate highly personalized outreach

Run conversations

And book meetings

All without human involvement.

Why this is interesting

A lot of AI products stop at “generate text.” We’re focused on outcomes.

That means solving problems like:

How do you generate messages that actually get replies?

How do you evaluate and improve agent performance over time?

How do you orchestrate millions of AI-driven interactions reliably?

How do you combine structured data + LLMs in a way that scales?

If you enjoy working at the intersection of systems + AI + real-world feedback loops, this will feel like a playground.

What you’ll be working on

You won’t be maintaining legacy systems.

You’ll be:

Designing and building core backend systems that power our AI agents

Creating APIs and services that handle high-scale, real-time workflows

Working with queues (Kafka / SQS / RabbitMQ) to orchestrate async systems

Thinking deeply about performance, cost, and reliability in AI pipelines

Shipping features end-to-end with a small, senior team

The team

We’re a small group of experienced builders. We move quickly, care about quality, and avoid unnecessary process.

No layers of management.

No long planning cycles.

Lots of ownership and autonomy.

What we’re looking for

5+ years of backend engineering experience

Strong system design fundamentals

Experience with distributed systems and async processing

Familiarity with relational and/or document databases

Clear communicator, low ego, high ownership

Why join

You’ll work on a product where the output is measurable (meetings booked, revenue generated)

You’ll have real ownership from day one

You’ll be early in building a new category (AI sales agents)

You’ll grow as fast as we do

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 Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Develop automation scripts using Python for data processing and workflow optimization.
• Work with Linux environments for deployment, monitoring, and troubleshooting.
• Ensure data quality, integrity, and reliability across data platforms.
• Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Implement best practices for data security, governance, and documentation.

Required Skills

• Strong experience in Data Engineering concepts and ETL/ELT processes.
• Proficiency in SQL, including query optimization and database design.
• Strong programming skills in Python.
• Hands-on experience with Linux commands, shell scripting, and system administration basics.
• Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Familiarity with Git/version control.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
• Experience with data warehousing solutions and big data technologies.
• Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in cloud or data engineering are an added advantage.

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.