50+ Python Jobs in India

This role will report to the Chief Technology Officer

You Will Be Responsible For

* Driving decision-making on enterprise architecture and component-level software design to our software platforms' timely build and delivery.

* Leading a team in building a high-performing and scalable SaaS product.

* Conducting code reviews to maintain code quality and follow best practices

* DevOps practice development on promoting automation, including asset creation, enterprise strategy definition, and training teams

* Developing and building microservices leveraging cloud services

* Working on application security aspects

* Driving innovation within the engineering team, translating product roadmaps into clear development priorities, architectures, and timely release plans to drive business growth.

* Creating a culture of innovation that enables the continued growth of individuals and the company

* Working closely with Product and Business teams to build winning solutions

* Led talent management, including hiring, developing, and retaining a world-class team

Ideal Profile

* You possess a Degree in Engineering or a related field and have at least 20+ years of experience as a Software Engineer, with a 10+ years of experience leading teams and at least 4 Years of experience in building a SaaS / Fintech platform.

* Proficiency in MERN / Java / Full Stack.

* Led a team in optimizing the performance and scalability of a product

* You have extensive experience with DevOps environment and CI/CD practices and can train teams.

* You're a hands-on leader, visionary, and problem solver with a passion for excellence.

* You can work in fast-paced environments and communicate asynchronously with geographically distributed teams.

What's on Offer?

* Exciting opportunity to drive the Engineering efforts of a reputed organisation

* Work alongside & learn from best in class talent

* Competitive compensation + ESOPs

Senior Project Owner / Project Manager Technology

Department - Technology / Software Development

Work Mode - Work From Home (WFH), Full Time

Experience - Minimum 10 Years (Development Background)

Location - Tier-1 Cities Only (Mumbai, Delhi, Bengaluru, Hyderabad, Chennai, Pune, Kolkata)

Time Zone - Candidate should be comfortable working in US time zone overlap and attending client calls accordingly.

ABOUT ARDEM

ARDEM Incorporated is a leading Business Process Outsourcing (BPO) and Automation company serving USbased clients across diverse industries. Our Technology Team builds and maintains in-house applications that power data processing pipelines, automation workflows, internal platforms, and domain-specific training modules all engineered to deliver operational excellence at scale. To our clients, we provide cloud-based platforms to assist in their day-to-day business analytics. Our cloud services focus on finance, logistics and utility management.

ROLE SUMMARY

We are looking for a seasoned Senior Project Owner / Project Manager with a strong development foundation to lead our technology initiatives. This role bridges client management and technical execution you will own endto-end delivery of multiple concurrent projects while supporting a high-performing remote team.

KEY RESPONSIBILITIES

Project & Delivery Management

• Own and manage multiple concurrent technology projects from initiation to production release
• Define project scope, timelines, milestones, and resource allocation plans
• Distribute tasks effectively across a team of developers, QA, and support engineers
• Track assigned work daily, follow up on progress, and proactively remove blockers
• Ensure all projects meet deadlines and quality benchmarks without compromise
• Participate actively in production activities and take full accountability for live deployments

US Client Management

• Serve as the Technology single point of contact for all assigned US clients
• Attend and lead client calls that are focused on an ARDEM Technical Solution. This may include discussions related to future clients or existing clients (US time zone overlap required)
• Resolve client queries, manage escalations, and ensure high client satisfaction
• Showcase company-developed applications and software demos confidently to clients
• Translate complex client requirements into clear technical deliverables for the team

Team Leadership

• Lead, mentor, and performance-manage a distributed remote team of technical members
• Foster accountability, ownership, and a high-delivery culture within the team
• Conduct sprint planning, stand-ups, retrospectives, and performance reviews
• Identify skill gaps and work with HR/training teams to bridge them

Process & Operations

• Deeply understand ARDEM's internal processes and align project execution accordingly
• Ensure development standards and best practices are followed across all projects
• Manage crisis situations with composure, identify root causes and drive swift resolution
• Coordinate with cross-functional teams including HR, Operations, Training, and QA
• Maintain project documentation, status reports, and risk registers

REQUIRED EXPERIENCE

• 10+ years of total experience in software development and project management
• 5–7 years of hands-on coding experience in one or more technologies listed below
• 2–3 years in a team management or tech lead role overseeing 5+ members
• Proven experience managing multiple simultaneous projects in a remote/WFH environment
• Prior experience working with US-based clients strong understanding of US work culture and expectations

TECHNICAL SKILLS

• Python: scripting, automation, data processing, backend services
• JavaScript / Node.js: server-side development, REST APIs, async workflows
• NET Core: enterprise application development and service integration
• SQL Databases: query optimization, schema design, stored procedures
• Familiarity with CI/CD pipelines, Git workflows, and deployment processes
• Ability to review code, understand architectural decisions, and guide the team technically

SKILLS & COMPETENCIES

• Exceptional verbal and written communication skills in English client-facing confidence is a must
• Strong crisis management and conflict resolution ability under tight deadlines
• Highly organized with a structured approach to planning, prioritization, and execution
• Self-driven and accountable capable of operating independently in a remote environment
• Strong presentation skills able to demo software to non-technical stakeholders
• Empathetic leadership style with the ability to motivate and align diverse team members

QUALIFICATIONS

• Bachelor's or master's degree in computer science
• PMP Certification: Preferred (candidates without PMP must demonstrate equivalent project management rigor)
• Agile / Scrum certifications (CSM, PMI-ACP) are an added advantage

LOCATION PREFERENCE

• Candidates must be based in a Tier-1 city: Mumbai, Delhi NCR, Bengaluru, Hyderabad, Chennai, Pune, or Kolkata
• This is a full-time Work From Home role: reliable internet, a dedicated workspace, and availability during US business hours are mandatory

Introduction

About Us:

Mercari is a Japan-based C2C marketplace company founded in 2013 with the mission to “Create value in a global marketplace where anyone can buy & sell.” From being the first tech unicorn from Japan before its IPO in 2018 we have come a long way towards becoming a global player and continuously and diligently work towards our transformation journey with a strong focus on our mission.

Since its inception, Mercari Group has worked to grow its services, investing in both our people and technology. Over time Mercari has expanded from being the top player in the C2C marketplace in Japan to new geographies like the U.S. We have also successfully launched new businesses such as Merpay, which is a mobile payment service platform with a vision to create a society where anyone can realize their dreams through a new ecosystem centered not only on payment service but also on credit. Today, Mercari Group is made up of multiple subsidiary businesses including logistics, B2C platform, blockchain, and sports team management.

For our services to be utilized by people worldwide; however, there is still a mountain of work ahead of us. This endeavor naturally requires the capability of the best talent and minds, and that is exactly the reason for us to launch the India Center of Excellence. With your help, we will continue to take on the world stage and strive to grow into a successful global tech company.

Our Culture:

To achieve our mission at Mercari, our organization and each of our employees share the same values and perspectives. Our individual guidelines for action are defined by our four values: Go Bold, All for One, Be a Pro and Move Fast. Our organization is also shaped by our four foundations: Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance. Regardless of how big Mercari gets, the culture will remain essential to achieving our mission and something we want to preserve throughout our organization. We invite you to read the Mercari Culture Doc which summarizes the behaviors and mindset shared by Mercari and its employees. We continue to build an environment where all of our members of diverse backgrounds are accepted and recognized, and where they can thrive while holding dear to Mercari’s culture.

Work Responsibilities

• Machine learning engineers working in the Recommendation domain develop the functions and services of the marketplace app Mercari through the development and maintenance of machine learning systems like Recommender systems while leveraging necessary infrastructure and companywide platform tools. 
• Mercari is actively applying advanced machine learning technology to provide a more convenient, safer, and more enjoyable marketplace. Machine learning engineers use the cloud and Kubernetes to operate and improve machine learning systems.

Bold Challenges

• We are looking for people who are interested in our services, mission, and values, and want to work where engineers can go bold, use the latest technology, make autonomous decisions, and take on challenges at a rapid pace.
• Develop and optimize machine learning algorithms and models to enhance recommendation system to improve discovery experience of users
• Collaborate with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features that improve user engagement
• Conduct data analysis and experimentation with large-scale data sets to identify patterns, trends, and insights that drive the refinement of recommendation algorithms
• Utilize machine learning frameworks and libraries to deploy scalable and efficient recommendation solutions.
• Monitor system performance and conduct A/B testing to evaluate the effectiveness of features.
• Continuously research and stay updated on advancements in AI/machine learning techniques and recommend innovative approaches to enhance recommendation capabilities.

Minimum Requirements:

• Over 5-9 years of professional experience in end-to-end development of large-scale ML systems in production
• Strong experience demonstrating development and delivery of end-to-end machine learning solutions starting from experimentation to deploying models, including backend engineering and MLOps, in large scale production systems.
• Experience using common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas)
• Deep understanding of machine learning and software engineering fundamentals
• Basic knowledge and skills related to monitoring system, logging, and common operations in production environment
• Communication skills to carry out projects in collaboration with multiple teams and stakeholders

Preferred skills:

• Experience developing Recommender systems utilizing large-scale data sets
• Basic knowledge of enterprise search systems and related stacks (e.g. ELK)
• Functional development and bug fixing skills necessary to improve system performance and reliability
• Experience with technology such as Docker and Kubernetes
• Experience with cloud platforms (AWS, GCP, Microsoft Azure, etc.)
• Microservice development and operation experience with Docker and Kubernetes
• Utilizing deep learning models/LLMs in production
• Experience in publications at top-tier peer-reviewed conferences or journals

Employment Status

Full-time

Office

Bangalore

Hybrid workstyle

• We believe in high performance and professionalism. We work from office for 2 days/week and work from home 3 days/week
• To build a strong & highly-engaged organization in India, we highly encourage everyone to work from our Bangalore office, especially during the initial office setup phase
• We will continue to review and update the policy to address future organizational needs

Work Hours

• Full flextime (no core time)

*Flexible to choose working hours other than team common meetings

Media

Owned Media

• Mercari Engineering Portal
• AI at Mercari portal
• Mercan - Introduces the people that make Mercari
• Mercari US Blog

Related Articles

• Development Platforms and Platformers: On Rising to the Global Standard Ken Wakasa, Mercari CTO | mercan
• “I'm Not a Talented Engineer” Insists the Member-Turned-Manager Revamping Our Internal CS Tool | mercan
• Personalize to globalize:How Mercari is reshaping their app, their company, and the world | mercan
• The Providers of the Safe and Secure Mercari Experience: The TnS Team, Introduced by Its Members! | mercan

Lead Data Engineer

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

What you will wake up to solve.

• Lead Technical Design & Data Architecture: Architect and lead the end-to-end development of scalable, cloud-native data platforms. You’ll guide the squad on critical architectural decisions—choosing between Batch vs. Streaming or ETL vs. ELT—while remaining 100% hands-on, contributing high-quality, production-grade code.
• Build High-Velocity Data Pipelines: Drive the implementation of robust data transports and ingestion frameworks using Python, SQL, and Spark. You will build integration layers that connect heterogeneous sources (SaaS, RDBMS, NoSQL) into unified, high-availability environments like BigQuery, Snowflake, or Redshift.
• Mentor & Elevate the Squad: Foster a culture of technical excellence by mentoring and inspiring a team of data analysts and engineers. Lead deep-dive code reviews, promote best-practice data modeling (Star/Snowflake schema), and ensure the squad adopts modern engineering standards like CI/CD for data.
• Drive AI-Ready Data Strategy: Be the expert in designing data foundations optimized for AI and Machine Learning. You will champion the use of GCP (Dataflow, Pub/Sub, BigQuery) and AWS (Lambda, Glue, EMR) to create "clean room" environments that fuel advanced analytics and generative AI models.
• Partner with Clients as a Technical DRI: Act as the Directly Responsible Individual for client success. Translate ambiguous business questions into elegant data services, manage project deliverables using Agile methodologies, and ensure that the data provided is accurate, consistent, and mission-critical.
• Troubleshoot & Optimize for Scale: Own the reliability of the reporting layer. You will proactively monitor pipelines, troubleshoot complex transformation bottlenecks, and propose ways to improve platform performance and cost-efficiency.
• Innovate and Build Reusable IP: Spearhead the creation of reusable data frameworks, custom operators, and transformation libraries that accelerate future projects and establish Searce’s unique technical advantage in the market.

Welcome to Searce

The AI-Native tech consultancy that's rewriting the rules.

Searce is an AI-native, engineering-led, modern tech consultancy that empowers clients to futurify their business by delivering intelligent, impactful, real business outcomes. Searce solvers co-innovate with clients as their trusted transformational partners ensuring sustained competitive advantage. Searce clients realize smarter, faster, better business outcomes delivered by AI-native Searce solver squads. 

Functional Skills 

the solver personas.

• The Data Architect: This persona deconstructs ambiguous business goals into scalable, elegant data blueprints. They don't just move data; they design the foundation—from schema design to partitioning strategies—that allows data scientists and analysts to thrive, foreseeing technical bottlenecks and making pragmatic trade-offs.
• The Player-Coach: As a hands-on leader, this persona leads from the front by writing exemplary, production-grade SQL and Python while simultaneously mentoring and elevating the skills of the squad. Their success is measured by the team's ability to deliver high-quality, maintainable code and their growth as engineers.
• The Pragmatic Innovator: This individual balances a passion for modern data tech (like Generative AI and Real-time Streaming) with a sharp focus on business outcomes. They champion new tools where they add real value but are disciplined enough to choose stable, cost-effective solutions to meet deadlines and deliver robust products.
• The Client-Facing Technologist: This persona acts as the crucial technical bridge between the data squad and the client. They build trust by listening actively, explaining complex data concepts (like data latency or idempotency) in simple terms, and demonstrating how engineering decisions align with the client’s strategic goals.
• The Quality Craftsman: This individual possesses an unwavering commitment to data integrity and treats data engineering as a craft. They are the guardian of the reporting layer, advocating for robust testing, data validation frameworks, and clean, modular code to ensure the long-term reliability of the data platform.

Experience & Relevance 

• Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads.
• Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.
• AI-Native Workflow: You don’t just build for AI; you build with AI. You must be proficient in using AI coding assistants (e.g., GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative AI.
• Architectural Portfolio: Evidence of leading 2-3 large-scale transformations—including platform migrations, data lakehouse builds, or real-time analytics architectures.
• Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO’s business vision into a Lead Engineer’s technical specification without losing anything in translation.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Job Title: Data Analyst (AI/ML Exposure)

Experience: 1–3 Years

Location: Mumbai

Job Description:

We are looking for a Data Analyst with strong experience in data handling, analysis, and visualization, along with exposure to AI/ML concepts. The role involves working with structured and unstructured data (SQL, CSV, JSON), building data pipelines, performing EDA, and deriving actionable insights. Candidates should have hands-on experience with Python (Pandas, NumPy), data visualization tools, and basic knowledge of NLP/LLMs. Exposure to APIs, data-driven applications, and client interaction will be an added advantage.

Skills Required: Python, SQL, Data Analysis, EDA, Visualization, APIs

Apply: Share your resume or connect with us.

Job Title: AI Architecture Intern

Company: PGAGI Consultancy Pvt. Ltd.

Location: Remote

Employment Type: Internship

Position Overview

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

Duration: 6 months

Key Responsibilities:

• AI System Architecture Design: Collaborate with the technical team to design robust, scalable, and high-performance AI system architectures aligned with client requirements.
• Client-Focused Solutions: Analyze and interpret client needs to ensure architectural solutions meet expectations while introducing innovation and efficiency.
• Methodology Development: Assist in the formulation and implementation of best practices, methodologies, and frameworks for sustainable AI system development.
• Technology Stack Selection: Support the evaluation and selection of appropriate tools, technologies, and frameworks tailored to project objectives and future scalability.
• Team Collaboration & Learning: Work alongside experienced AI professionals, contributing to projects while enhancing your knowledge through hands-on involvement.

Requirements:

• Strong understanding of AI concepts, machine learning algorithms, and data structures.
• Familiarity with AI development frameworks (e.g., TensorFlow, PyTorch, Keras).
• Proficiency in programming languages such as Python, Java, or C++.
• Demonstrated interest in system architecture, design thinking, and scalable solutions.
• Up-to-date knowledge of AI trends, tools, and technologies.
• Ability to work independently and collaboratively in a remote team environment

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

Compensation:

- Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining.

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer (Up to 12 LPA).

Preferred Experience:

• Prior experience in roles such as AI Solution Architect, ML Architect, Data Science Architect, or AI/ML intern.
• Exposure to AI-driven startups or fast-paced technology environments.
• Proven ability to operate in dynamic roles requiring agility, adaptability, and initiative.

Overview

We are looking for a highly skilled Lead Data Engineer with strong expertise in Data Warehousing & Analytics to join our team. The ideal candidate will have extensive experience in designing and managing data solutions, advanced SQL proficiency, and hands-on expertise in Python & POWER BI .

Skills : Python, Databricks, SQL

Key Responsibilities:

• Design, develop, and maintain scalable data warehouse solutions.
• Write and optimize complex SQL queries for data extraction, transformation, and reporting.
• Develop and automate data pipelines using Python.
• Work with AWS cloud services for data storage, processing, and analytics.
• Collaborate with cross-functional teams to provide data-driven insights and solutions.
• Ensure data integrity, security, and performance optimization.

Required Skills & Experience:

• Must have a minimum of 6-10 years of experience in Data Warehousing & Analytics.
• Must have strong experience in Databricks
• Strong proficiency in writing complex SQL queries with deep understanding of query optimization, stored procedures, and indexing.
• Hands-on experience with Python for data processing and automation.
• Experience working with AWS cloud services.
• Hands-on experience with reporting tools like Power BI or Tableau.
• Ability to work independently and collaborate with teams across different time zones.

JD - AI/ML Engineer II - CAW Tech

About the Role

At CAW Studios, we are building the future with agentic AI systems, RAG pipelines, and intelligent automation. From

autonomous AI agents at KnackLabs to developer productivity tools at CodeKnack, we ship production-ready AI

products that solve real problems for enterprises and startups alike.

This is your chance to work on cutting-edge GenAI, LLM fine-tuning, and agent frameworks—and see your code

power products used in the real world. If you’re excited about experimenting, shipping fast, and solving complex AI

challenges hands-on, you’ll love it here.

Who should apply

Engineer with 2 to 4 years of full-time experience building high-scale software systems, with a proven track record

of deploying complex Generative AI products to production.

Role Overview

We are hiring an AI/ML Engineer II (SE2) to own the architectural implementation and deployment of production-grade

agentic AI systems. This role requires a hybrid of traditional engineering rigour (OOPS, SOLID, high-concurrency)

and advanced AI specialization to build the next generation of intelligent tools.

Responsibilities

● Independently design modular and maintainable multi-agent AI systems aligned with SOLID principles

● Build high-concurrency, async FastAPI backends for complex AI workloads with enterprise stability

● Architect sophisticated agentic workflows using LangGraph with a focus on state persistence and error-recovery

● Design and optimize RAG pipelines involving advanced chunking, hybrid search, and re-ranking

● Take ownership of containerization and cloud deployment for observable, cost-efficient AI services

● Collaborate on reusable AI components and internal frameworks to enhance team engineering velocity

Expectations

● Deep obsession with automation, DevOps, OOPS, and SOLID principles

● Advanced experience deploying RAG or agent-based systems with LangGraph orchestration

● Expert-level mastery of async Python, system thinking, and building scalable backends

● High ownership and a "production-first" mindset for end-to-end system reliability

● Hands-on experience across multiple AI modalities (Vision, Audio, Text) and their architectures

About CAW Studios

CAW Studios is a Product Engineering Company of 100+ passionate geeks. We’ve built products like Interakt,

CashFlo, KaiPulse, and FastBar and continue to run their engineering. We are also the engineering backbone for Haptik,

EmailAnalytics, GrowthZone, Reliance General Insurance, and KWE Logistics.

We are obsessed with automation, DevOps, OOPS, and SOLID principles. We don’t just stick to one tech stack we

love solving problems.

�� Know More:

Website: caw.tech

KnackLabs: knacklabs.ai

CodeKnack: codeknack.ai

Instagram: @cawstudios

✨ Join us to build, break, and innovate AI systems that redefine what’s possible

Join our team as a Data Engineer (ETL & Migration) and be a key contributor in our dynamic, technology-driven environment. Your expertise in building complex data pipelines, migrating and transforming data between systems, and collaborating with stakeholders, project managers, and Data and Business analysts will drive impactful solutions and help tackle exciting data challenge.

What We’re Looking For:

• Minimum 3 years of experience as a Data Engineer, ETL Engineer, or Data Migration Engineer
• Expertise in database design and management, including SQL databases such as SQL Server
• Strong command in Python or similar programming languages for building custom pipelines, data cleaning, transformations, and automation
• Hands-on experience designing and implementing ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes for data integration
• Proficiency in Data validation and Reconciliation
• Hands-on experience working with APIs (Python, Postman)
• Strong knowledge of Data modeling principles and techniques
• Experience with Version control systems (Git)
• Experience with Cloud platforms (AWS, Azure, or Google Cloud)
• Familiarity with PowerShell or Bash scripting is a plus

What You’ll Be Doing:

• Build robust ETL data pipelines using SQL, APIs, and custom import logic
• Create data mappings between source and target systems within the transformation layer
• Develop testing processes to prevent data loss or data corruption
• Work with both relational and non-relational data to achieve full data mapping
• Collaborate with Business and Data analysts to ensure data quality and proper business logic
• Work closely with stakeholders to ensure on-time delivery
• Collaborate with an agile delivery team by working on backlog items and priorities

Key Responsibilities:

• Work with distributed systems and implement asynchronous programming patterns
• Design and develop scalable backend applications using Python
• Build and integrate applications leveraging LLMs or traditional Machine Learning techniques
• Develop and maintain microservices-based architectures
• Work with databases and caching systems to optimize application performance
• Participate in code reviews and maintain high code quality standards
• Write clean, maintainable, and well-documented code following best practices

Required Skills:

• 3+ years of relevant experience
• Strong understanding of distributed systems and asynchronous programming in Python
• Experience building scalable applications using LLMs or traditional ML techniques
• Hands-on experience with databases, caching mechanisms, and microservices architecture
• Good problem-solving and debugging skills

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Role: Sr. Azure Data Engineer

Experience: 8–10 Years

Work Timings: 1:30 PM – 10:30 PM IST

Location: Bellandur Bengaluru (Work from Office)

Company: Chevron

Employment Type: 6- 12 months Contract

Role Overview

We are seeking an experienced Senior Data Engineer to design and deliver scalable cloud data solutions on Azure. The ideal candidate will have strong expertise in Databricks, PySpark, and modern data architectures, with exposure to energy domain standards like OSDU.

Key Responsibilities

• Architect and design robust Azure-based data solutions using Databricks, ADLS, and PaaS services
• Define and implement scalable data Lakehouse architectures aligned with OSDU standards
• Build and manage end-to-end data pipelines for batch and real-time processing using PySpark
• Establish data governance frameworks including metadata, lineage, security, and access control
• Implement DevOps best practices (CI/CD, Azure Pipelines, GitHub, automated deployments)
• Collaborate with stakeholders to translate business needs into technical solutions
• Develop and maintain architecture documentation, solution patterns, and standards
• Provide technical leadership and mentorship to engineering teams
• Optimize solutions for performance, cost, reliability, and security
• Ensure alignment with enterprise architecture and compliance standards
• Drive adoption of modular and reusable cloud data components

Required Skills & Qualifications

Core Technical Skills

• Azure Databricks, Apache Spark (PySpark), Delta Lake, Unity Catalog
• Azure Data Lake Storage (ADLS), Azure Data Factory, Synapse Analytics
• Strong experience in Python-based data engineering
• Data pipeline development (batch + real-time)

Architecture & Advanced Skills

• Data Lakehouse architecture and distributed systems
• Microservices, APIs, and integration frameworks
• OSDU (Open Subsurface Data Universe) or similar energy data models

DevOps & Tools

• CI/CD tools: Azure Pipelines, GitHub Actions
• Infrastructure as Code: Terraform or similar

Other Skills

• Data governance, security, compliance, and cost optimization
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management

What You'll Do

• Build and maintain web & backend systems using Python & Node.js
• Create custom workflows and automations
• Do code reviews, fix bugs, manage databases
• Work with teams to understand and deliver solutions
• Write clean, well-documented code
• Mentor junior developers

What We Need

• 2–6 years of software development experience
• Strong in Python, Node.js & REST APIs
• Experience with workflow/automation tools
• Self-driven, good communicator, team player

Perks of This Role

• Lead your own projects
• Mentor junior devs
• Direct access to stakeholders & leadership

You will own the end to end implementation and operation of AI powered outbound campaigns for our clients. That means taking a client brief, understanding their target market, building the systems that research and engage prospects, and making sure those systems run reliably without hand holding.

This is not a "connect two Zapier steps and call it automation" kind of role. You will be designing multi step workflows where AI agents research companies, enrich data through APIs, personalize messaging intelligently, and deliver outputs into client tools. Each campaign is a custom system with moving parts that need to work together cleanly.

What your weeks will look like:

You will onboard new clients, understand their ICP and outreach goals, then build and deploy the technical infrastructure to execute those campaigns. You will monitor live campaigns, troubleshoot when something breaks, and optimize for better results over time. You will hop on video calls with clients when needed, but the bulk of your time is building and maintaining systems that work.

Specifically, you will:

Build and manage complex n8n workflows that pull data from multiple sources, enrich it through APIs and AI, and deliver personalized outputs. Design Airtable bases that structure client data, automate processing, and integrate with external tools. Set up and manage email infrastructure: domains, deliverability, sending sequences. Use AI tools (Claude, GPT) to build research and personalization layers into client workflows. Handle client onboarding, ongoing communication, and technical troubleshooting. Own your campaigns. When something breaks at 2 PM on a Tuesday, you fix it. When a client asks why response rates dropped, you investigate and have an answer.

Who This Is For

You are someone who figures things out. You read documentation, test until it works, and do not give up when the first approach fails. You have strong technical intuition even if you are not a traditional developer. You understand how APIs work, how data flows between systems, and how to debug when something is not behaving as expected.

You follow AI developments closely. Not casually. You know the practical performance difference between Claude Opus 4.6 & GPT 5.4 🙃, you have opinions on which tools are overhyped, and you have probably built something with AI that you are proud of, even if it was just for yourself.

You are hungry. Not in a cliché motivational poster way. You genuinely want to get better at what you do, you take ownership of your work, and you do not need someone checking in on you every few hours to make sure you are making progress.

Core skills (non negotiable):

• n8n: You have built workflows and understand how nodes, data flow, and error handling work.
• AI tools: Regular, meaningful use of Claude or ChatGPT. You know how to prompt effectively and understand the limitations.
• Technical aptitude: You pick up new tools fast and figure things out from documentation, not tutorials.
• English proficiency: Written and spoken. You will be communicating with international clients.

Great to have (you can learn these on the job):

Experience with cold email and outbound systems (Smartlead, Instantly, or similar). Understanding of email deliverability (SPF, DKIM, domain setup). API integration and webhook experience. Data enrichment workflows using tools like Apollo, web scraping, or similar.

Work Setup

Fully remote. Work from anywhere. 5 day week. You manage your own schedule as long as the work gets done and you are available for client calls when needed.

Why This Role Is Different

You are not joining a company to work on traditional endangered tech job, but working with AI all day long, and deploying it's outbound systems for clients. You are building and running AI infrastructure for organizations that most people only see on TV. The problems you solve are genuinely novel. There is no tutorial for most of what we do. You will learn faster here in 3 months than you would in years at most places, because we operate at the intersection of AI, automation, and high stakes client work.

If you are the kind of person who gets excited about building systems that actually work in the real world, not just demos, this is your role.

How to Apply

If you have a portfolio of n8n workflows, Airtable bases, or any AI projects you have built, include links. We value what you have actually built over what is listed on your resume. Practical proof of work is valued 100x than just writing cool things in your application.

AVOID WRITING USING AI ANYWHERE IN YOUR APPLICATION. WE WORK WITH AI ALL DAY. ANY APPLICATIONS WRITTEN USING AI WILL NOT BE READ AND WILL BE REMOVED BY OUR AI QUALIFIER AGENT ITSELF 🙂

About US:-

We turn customer challenges into growth opportunities.

Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.

Experience Range: 4-8 Years

Role: Full Stack Developer

Duties: 

As Full Stack Engineer, you will work in small teams in a highly collaborative way, use the latest technologies and enjoy seeing the direct impact from your work. Our highly skilled system architects and development managers configure software packages and build custom applications, creating the foundation for rapid and cost-effective implementation of systems that maximize value from day one. Our development teams are small, flexible and employ agile methodologies to quickly provide our consultants with the solutions they need. We combine the latest open source technologies together with traditional Enterprise software products. 

The Role: 

We create both rapid prototypes, usually in 2 to 3 weeks, as well as full-scale applications typically within 2 to 3 months, by working collaboratively and iteratively through design and development to deliver fully functioning web-based and mobile applications that meet business goals. Our Front-End Developers contribute to the architecture across the technology stack, from database to native apps. 

Skills: 

Minimum of 5–9 years of experience, with a proven record of hands-on software development in at least one of the following languages: Java, C#, C/C++, Python, JavaScript, Ruby, plus modern frontend proficiency in React and TypeScript. Demonstrated ownership of delivering end-to-end solutions (from design through production support), with strong proactivity in identifying opportunities, anticipating risks, and driving improvements without waiting for direction. 

Significant experience designing, implementing, and operating Web Services and APIs (REST, SOAP, RPC, RMI) including API monitoring/observability and performance tuning. Solid understanding of network communication protocols (HTTP, TCP/IP, UDP, SMTP, DNS) and distributed system behaviors. 

Capable of applying best coding practices, design patterns, and evaluating tradeoffs in complex, microservices-based architectures. Well versed in cloud computing (AWS), automated testing, CI/CD, and DevOps tooling; comfortable owning reliability, scalability, and operational excellence. Bonus: hands-on knowledge of Terraform (infrastructure as code). 

Experience with relational data stores (MySQL, SQL Server, Oracle) and non-relational technologies, with strong proficiency in MongoDB (schema design, indexing, performance optimization), plus exposure to Elasticsearch, Cassandra, and related ecosystems. Strong professional experience with frameworks such as Node.js, AngularJS, Spring, Guice, and expertise building mobile, responsive/adaptive applications. 

First-hand understanding of Agile development methodologies, with a commitment to engineering excellence (e.g., DRY, TDD, CI) and pragmatic delivery. 

Non-Technical: First and foremost, passionate about technology, especially AI and emerging/disruptive technologies, and excited about translating innovation into real product impact. Strong command of English (verbal and written), excellent interpersonal skills, and a highly collaborative mindset, able to partner effectively across engineering, product, design, and stakeholders. Sound problem-solving ability to quickly process complex information and communicate it clearly and simply. Demonstrated leadership/mentorship, accountability, and a self-starter attitude suited to environments that foster entrepreneurial thinking. 

 What We Offer 

•  Professional Development and Mentorship.
•  Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified).
•  Health and Family Insurance.
•  40+ Leaves per year along with maternity & paternity leaves.
•  Wellness, meditation and Counselling sessions.

Job Title : AWS Data Engineer

Experience : 4+ Years

Location : Bengaluru (HSR – Hybrid, 3 Days WFO)

Notice Period : Immediate Joiner

💡 Role Overview :

We are looking for a skilled AWS Data Engineer to design, build, and scale modern data platforms. The role involves working with AWS-native services, Python, Spark, and DBT to deliver secure, scalable, and high-performance data solutions in an Agile environment.

🔥 Mandatory Skills :

Python, SQL, Spark, AWS (S3, Glue, EMR, Redshift, Athena, Lambda), DBT, ETL/ELT pipeline development, Airflow/Step Functions, Data Lake (Parquet/ORC/Iceberg), Terraform & CI/CD, Data Governance & Security

🚀 Key Responsibilities :

• Design, build, and optimize ETL/ELT pipelines using Python, DBT, and AWS services
• Develop and manage scalable data lakes on S3 using formats like Parquet, ORC, and Iceberg
• Build end-to-end data solutions using Glue, EMR, Lambda, Redshift, and Athena
• Implement data governance, security, and metadata management using Glue Data Catalog, Lake Formation, IAM, and KMS
• Orchestrate workflows using Airflow, Step Functions, or AWS-native tools
• Ensure reliability and automation via CloudWatch, CloudTrail, CodePipeline, and Terraform
• Collaborate with data analysts and data scientists to deliver actionable insights
• Work in an Agile environment to deliver high-quality data solutions

✅ Mandatory Skills :

• Strong Python (including AWS SDKs), SQL, Spark
• Hands-on experience with AWS data stack (S3, Glue, EMR, Redshift, Athena, Lambda)
• Experience with DBT and ETL/ELT pipeline development
• Workflow orchestration using Airflow / Step Functions
• Knowledge of data lake formats (Parquet, ORC, Iceberg)
• Exposure to DevOps practices (Terraform, CI/CD)
• Strong understanding of data governance and security best practices
• Minimum 4–7 years in Data Engineering (3+ years on AWS)

➕ Good to Have :

• Understanding of Data Mesh architecture
• Experience with platforms like Data.World
• Exposure to Hadoop / HDFS ecosystems

🤝 What We’re Looking For :

• Strong problem-solving and analytical skills
• Ability to work in a collaborative, cross-functional environment
• Good communication and stakeholder management skills
• Self-driven and adaptable to fast-paced environments

📝 Interview Process :

1. Online Assessment
2. Technical Interview
3. Fitment Round
4. Client Round

Job Title : Azure Data Scientist (AI/ML)

Experience : 5 to 10 Years

Location : Bengaluru

Work Mode : Hybrid (4 Days WFO, Tue to Fri – Non-Negotiable)

Notice Period : Immediate Joiner

💡 Role Overview :

We are looking for a highly skilled Azure Data Scientist with strong expertise in AI/ML, Python, and cloud-based data platforms. The role involves building scalable ML solutions, working on GenAI & RAG use cases, and delivering business impact through data-driven insights.

🔥 Mandatory Skills :

Python, Azure Machine Learning, Databricks, AI/ML model development (5+ yrs), Statistics & Probability, EDA & Data Modeling, Machine Learning algorithms, GenAI/RAG experience

✅ Key Responsibilities :

• Design, develop, and deploy AI/ML models to solve complex business problems
• Perform Exploratory Data Analysis (EDA) for data cleaning, discovery, and insights
• Build and optimize ML pipelines using Azure Machine Learning & Databricks
• Work on GenAI applications, RAG implementations, and advanced analytics solutions
• Collaborate with data engineers, business stakeholders, and domain experts
• Translate complex data into actionable business insights
• Manage model lifecycle (development, validation, deployment, monitoring)
• Communicate model outputs and insights to technical & non-technical stakeholders
• Drive innovation and contribute to AI/ML best practices and strategy

🧠 Required Skills (Must Have) :

• Strong experience in Python (ML/AI development)
• Hands-on with Azure Machine Learning & Databricks
• Deep understanding of Mathematics, Probability, and Statistics
• Expertise in Machine Learning & Data Science methodologies
• Experience in EDA, data visualization, and model development
• Exposure to GenAI, RAG, and ML application development
• Minimum 5+ years of experience in AI/ML model development
• Strong problem-solving and analytical skills

➕ Good to Have :

• Experience with MLOps practices
• Domain knowledge in Energy / Oil & Gas value chain
• Experience in data visualization tools
• Team collaboration or mentoring experience

🤝 What We’re Looking For :

• Strong communication & stakeholder management skills
• Ability to work in a cross-functional, global team environment
• Self-driven, adaptable, and innovation-focused mindset

📝 Interview Process :

1. Geektrust Assessment (Assemble)
2. Technical Interview
3. Fitment Round
4. Client Round

Summary

We are looking for a motivated Odoo Developer to design, develop, and maintain ERP solutions on both Odoo Community and Enterprise editions. The ideal candidate will have strong Python skills, practical experience with the Odoo framework, and the ability to deliver scalable, customized modules that align with business requirements. Compensation will be offered as a 25% to 50% hike on the candidate’s last drawn salary, based on experience and skill set.

Key Responsibilities

• Develop, customize, and maintain Odoo ERP modules for both Community and Enterprise editions.
• Create new custom modules and enhance existing ones to extend system functionality.
• Write clean, efficient, and well-documented Python code following Odoo development standards.
• Troubleshoot, debug, and resolve technical issues to ensure optimal system performance.
• Collaborate with functional consultants and business stakeholders to deliver scalable ERP solutions.
• Design and implement integrations between Odoo and third-party systems such as APIs, payment gateways, CRM tools, and other business applications.
• Optimize database queries and improve system performance.
• Participate in code reviews, testing, and deployment processes.

Required Skills & Experience

• Minimum 3 years of experience in Odoo development (Community and/or Enterprise editions).
• Strong proficiency in Python and understanding of the Odoo framework.
• Experience with PostgreSQL and database design concepts.
• Knowledge of Odoo ORM, QWeb, XML, and JavaScript.
• Hands-on experience developing and customizing Odoo modules.
• Familiarity with REST APIs and third-party integrations.
• Good debugging and problem-solving skills.
• Understanding of Git or other version control systems.
• Ability to work independently and in a team environment.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Experience working with both Odoo Community and Enterprise editions.
• Exposure to Odoo.sh or cloud deployment environments.
• Basic understanding of business processes such as Accounting, Sales, Inventory, or HR in ERP systems.
• Experience in Agile development methodologies is a plus.

Note

This is an immediate full-time remote requirement. Candidates who are passionate about ERP development and can work with both Odoo Community and Enterprise editions are encouraged to apply.

Responsibilities:

• Lead architecture, technical decisions, and ensure code quality, scalability, and performance
• Develop backend systems using Python & SQL; build APIs and optimize databases
• Work with frontend (React/Angular) and API-driven architectures
• Integrate AI/ML models and support analytics/LLM-based solutions
• Manage cloud deployments (Azure/AWS) and implement CI/CD practices
• Ensure system reliability, monitoring, and production readiness
• Mentor team members, conduct reviews, and collaborate with cross-functional teams

Python Developer (Performance Optimization Focus)

Experience: 3–5 Years

Location: Remote (India-based candidates only)

Employment Type: Full-time

Role Overview

We are seeking a Python Developer with a strong focus on performance optimization and system efficiency. In this role, you will identify bottlenecks, enhance system performance, and contribute to building scalable, high-performance applications in a Linux-based environment.

Key Responsibilities

• Analyze and troubleshoot performance bottlenecks in applications and systems
• Optimize code, database queries, and architecture for scalability and speed
• Design, develop, test, and maintain robust Python applications
• Work with large datasets and improve data processing efficiency
• Collaborate with cross-functional teams to improve system reliability and performance
• Monitor system performance and implement proactive improvements
• Write clean, maintainable, and efficient code following best practices

Required Skills & Qualifications

• 3–5 years of hands-on experience in Python development
• Strong expertise in performance tuning and optimization techniques
• Experience with debugging and profiling tools
• Solid understanding of data structures and algorithms
• Experience with REST APIs and backend development
• Strong analytical and problem-solving skills

Linux & System Knowledge (Must-Have)

• Comfortable working in Linux/Unix environments
• Command-line proficiency, including:
• File editing (vi, nano)
• File permissions (chmod, chown)
• File downloads (wget, curl)
• Basic file and directory operations

Basic Python Knowledge (Interview Scope)

• Writing simple scripts and reusable functions
• String manipulation and data handling
• Example task: Count words in a file/string efficiently

Good to Have

• Familiarity with AI/ML concepts or tools
• Experience optimizing data-intensive or distributed systems
• Exposure to cloud platforms (AWS, GCP, Azure)

Why Join Us

• Work on performance-critical systems with real-world impact
• Fully remote work environment
• Opportunity to work with modern, scalable technologies
• Collaborative, growth-focused team culture

Key Responsibilities:

• Lead and mentor a team of Java and Python developers, providing technical guidance and fostering a culture of continuous learning and improvement.
• Oversee the design, development, and implementation of high-performance, scalable, and secure software solutions for the financial services industry.
• Collaborate with product managers and architects to translate business requirements into technical specifications and ensure alignment with overall product strategy.
• Drive the adoption of best practices in software development, including code reviews, testing, and continuous integration/continuous deployment (CI/CD).
• Manage project timelines and resources effectively, ensuring on-time and within-budget delivery of projects.
• Identify and mitigate technical risks, proactively addressing potential issues and ensuring the stability and reliability of our platforms.
• Stay abreast of emerging technologies and trends in Java, Python, and related fields, and evaluate their potential application to our products and services.
• Contribute to the development of technical documentation and training materials.

Required Skillset:

• Demonstrated expertise in Java and Python development, with a strong understanding of object-oriented principles, design patterns, and data structures.
• Proven ability to lead and mentor a team of software engineers, fostering a collaborative and high-performing environment.
• Experience in designing and developing scalable, high-performance, and secure software solutions.
• Strong understanding of software development methodologies, including Agile and Waterfall.
• Excellent communication, interpersonal, and problem-solving skills.
• Ability to work effectively in a fast-paced, dynamic environment.
• Bachelor's or Master's degree in Computer Science or a related field.
• Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.

Brikito — Lead Full-Stack Developer

Job Description

About Brikito

Brikito is an early-stage PropTech startup building a construction management platform for SME developers and contractors. The founder has 7+ years of hands-on construction experience and an MBA from Warwick Business School. We have initial funding, a domain (brikito.com), wireframes ready, and active customer validation underway. We need our first technical leader to take this from wireframes to a live product.

This is a ground-floor opportunity. You will be the first technical hire — the person who makes every architecture decision and writes the first line of production code.

The Role

Title: CTO / Lead Full-Stack Developer (title depends on experience and equity arrangement)

Location: India (remote OK, occasional visits to Chennai office and overseas office planning to set up in Singapore or Dubai)

Type: Full-time

Compensation: ₹1,00,000–₹2,50,000/month + meaningful equity (0.5%–5% depending on role level, vesting over 4 years based on vesting schedule with a cliff.)

Start Date: May 2026

Reports to: Founder/CEO

• What You Will DoMonths 1–3: Build the MVPOwn all technical decisions — architecture, tech stack, database design, hosting
• Build and ship a working MVP with 3 core features: project dashboard, billing/invoicing, and indent/procurement management
• Set up CI/CD pipeline, staging, and production environments
• Integrate payment gateway (Razorpay for India)
• Build both web and mobile-responsive interfaces
• Ship the MVP within 12 weeks
• Months 3–6: Iterate and ScaleOnboard beta users and fix bugs based on real usage
• Build features based on customer feedback (not assumptions)
• Integrate AI capabilities where they add clear user value (e.g., auto-generated progress reports)
• Hire and manage 1–2 junior developers as the team grows
• Set up monitoring, error tracking, and basic analytics
• Months 6–12: Lead the Technical TeamGrow the engineering team to 4–6 people
• Establish code review processes, documentation standards, and sprint rhythms
• Own the technical roadmap alongside the founder
• Participate in investor conversations as the technical co-founder (if CTO-level)
• Make build-vs-buy decisions for new features

• Required SkillsMust Have7+ years of professional software development experience
• Strong proficiency in React or Next.js (frontend)
• Strong proficiency in Node.js (backend) — Express, Nest.js, or similar
• PostgreSQL or MySQL — database design, query optimisation, migrations
• REST API design — clean, well-documented APIs
• Cloud deployment — AWS (EC2, RDS, S3) or GCP equivalent
• Expertise in AI tools and integrations - Anthropic, OpenAI, Perplexity, etc.
• Git — clean branching, PR-based workflow
• Has shipped at least one product that real users used — not just academic or internal tools
• Comfortable working independently — no one will tell you what to do step by step
• Strongly PreferredPrevious experience at a startup (Series A or earlier)
• Experience building SaaS or B2B products
• Experience with mobile development (React Native or Flutter)
• Experience integrating payment gateways (Razorpay, Stripe)
• Experience with third-party API integrations (OpenAI, Twilio, etc.)
• Understanding of CI/CD pipelines (GitHub Actions, Docker)
• Basic understanding of construction, real estate, or field operations (not required, but a plus)
• Nice to HaveExperience with TypeScript
• Experience with real-time features (WebSockets, push notifications)
• Familiarity with Figma (to translate wireframes into UI)
• Experience hiring and mentoring junior developers
• Open source contributions or a personal project portfolio

• What We Are NOT Looking ForSomeone who needs detailed specifications for every task — we move fast and figure things out together
• Someone who only wants to code and not think about the product — you will be in customer calls and strategy discussions
• Someone who optimises for perfect code over shipping — we ship first, refactor later
• Someone looking for a stable corporate job — this is a startup with all the chaos and excitement that comes with it

• What You GetEquity ownership in an early-stage company with a large addressable market ($14.9B global construction SaaS)
• Founding team credit — you will be recognised as a technical co-founder if you take the CTO role
• Direct impact — every line of code you write will be used by real customers within weeks
• Technical freedom — you choose the stack, the tools, the architecture
• A founder who understands the domain — you will never have to guess what contractors need because the CEO has built construction projects himself
• Growth path — as we raise funding and scale, you grow into VP Engineering or CTO of a funded company

How to Apply

Send the following:

• A short note (5–10 lines) on why this role interests you and what you'd bring
• Your LinkedIn profile or resume
• One link to something you've built — a live product, a GitHub repo, an app, anything that shows your work
• Your availability — when can you start?

We will respond within 48 hours. The process is:

• 30-minute video call with the founder
• Small paid technical task (8 hours of work, ₹5,000 paid regardless of outcome)
• Final conversation about role, equity, and start date
• Offer within 1 week of first call

Questions?

DM the founder on LinkedIn: https://www.linkedin.com/in/aashiqahamed/

This is not a job posting from HR. This is a founder looking for his first technical partner. If this excites you, reach out.

Strong Software Engineer fullstack profile using NodeJS / Python and React

Mandatory (Experience) - Must have 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)

Mandatory (Core Skills 1): Must have strong experience in working on Typescript

Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis

Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB

Mandatory (Company) - Product Companies Only

Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes (Top 7 IITs, Top 5 NITs, IIIT Bangalore, IIIT Hyderabad, IIIT Allahabad, MNNIT, IIT Dhanbad, BITS Pilani). Candidates from other institutions will not be considered unless they come from top-tier product companies

Mandatory (Note) : This role is a hybrid role (2 days WFO)

Responsible for developing, enhancing, modifying, and maintaining chatbot applications in the Global Markets environment. The role involves designing, coding, testing, debugging, and documenting conversational AI solutions, along with supporting activities aligned to the corporate systems architecture.

You will work closely with business partners to understand requirements, analyze data, and deliver optimal, market-ready conversational AI and automation solutions.

Key Responsibilities

• Design, develop, test, debug, and maintain chatbot and virtual agent applications
• Collaborate with business stakeholders to define and translate requirements into technical solutions
• Analyze large volumes of conversational data to improve chatbot accuracy and performance
• Develop automation workflows for data handling and refinement
• Train and optimize chatbots using historical chat logs and user-generated content
• Ensure solutions align with enterprise architecture and best practices
• Document solutions, workflows, and technical designs clearly

Required Skills

• Hands-on experience in developing virtual agents (chatbots/voicebots) and Natural Language Processing (NLP)
• Experience with one or more AI/NLP platforms such as:
• Dialogflow, Amazon Lex, Alexa, Rasa, LUIS, Kore.AI
• Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein, Converse.ai
• Strong programming knowledge in Python, JavaScript, or Node.js
• Experience training chatbots using historical conversations or large-scale text datasets
• Practical knowledge of:
• Formal syntax and semantics
• Corpus analysis
• Dialogue management
• Strong written communication skills
• Strong problem-solving ability and willingness to learn emerging technologies

Nice-to-Have Skills

• Understanding of conversational UI and voice-based processing (Text-to-Speech, Speech-to-Text)
• Experience building voice apps for Amazon Alexa or Google Home
• Experience with Test-Driven Development (TDD) and Agile methodologies
• Ability to design and implement end-to-end pipelines for AI-based conversational applications
• Experience in text mining, hypothesis generation, and historical data analysis
• Strong knowledge of regular expressions for data cleaning and preprocessing
• Understanding of API integrations, SSO, and token-based authentication
• Experience writing unit test cases as per project standards
• Knowledge of HTTP, REST APIs, sockets, and web services
• Ability to perform keyword and topic extraction from chat logs
• Experience training and tuning topic modeling algorithms such as LDA and NMF
• Understanding of classical Machine Learning algorithms and appropriate evaluation metrics
• Experience with NLP frameworks such as NLTK and spaCy

About the Role

We are looking for a high-calibre Senior Full Stack Engineer to join a product-focused team, building and iterating on modern applications in a fast-paced environment.

This role goes beyond traditional full-stack development. It is suited for engineers who combine strong technical fundamentals with product thinking, high ownership, and the ability to move quickly while maintaining quality. You will work across the stack, prototype rapidly, and leverage AI tools as a core part of your daily workflow.

The ideal candidate is an independent thinker who can operate with minimal direction, challenge assumptions (including AI-generated outputs), and deliver end-to-end solutions. This is a highly visible role requiring strong communication skills and the ability to engage confidently with senior stakeholders.

Responsibilities

• Design, build, and ship scalable full-stack applications across backend and frontend systems
• Take ownership of features end-to-end, from ideation to production deployment
• Prototype quickly and iterate based on product and user feedback
• Use AI tools (e.g., Copilot, ChatGPT, Cursor, Claude) to accelerate development while applying sound engineering judgment
• Evaluate and improve AI-generated code, ensuring quality, performance, and maintainability
• Contribute to system design, architecture, and technical decision-making
• Work across backend, frontend, and infrastructure layers as needed
• Collaborate with product stakeholders to define requirements and make informed trade-offs
• Identify gaps, inefficiencies, or product issues and proactively suggest improvements.
• Maintain high standards of code quality, testing, and performance

Requirements

• Strong academic background from top-tier engineering institutions (e.g., IITs, IISc, IIITs, BITS, top NITs, or equivalent)
• 6–10+ years of experience in software engineering, with strong full-stack exposure.
• Strong backend engineering experience (Ruby on Rails preferred, or Python, Go, Rust with equivalent depth)
• Solid frontend development experience with modern frameworks (e.g., React or similar).
• Strong understanding of system design, APIs, and scalable architecture
• Proven ability to build and ship production-grade applications end-to-end
• Demonstrated product mindset with the ability to think beyond implementation
• Experience working in product-driven environments with high ownership
• Hands-on experience using AI tools (e.g., Copilot, ChatGPT, Cursor, Claude) in day-to-day development
• Ability to critically evaluate AI-generated output and apply sound engineering judgment
• Strong communication skills with the ability to articulate technical decisions clearly
• High level of autonomy, ownership, and problem-solving capability

Nice to Have

• Experience working in high-growth startups or product-led companies
• Experience contributing across DevOps or infrastructure
• Strong track record of ownership and impact in previous roles
• Exposure to fast-paced, high-performance engineering cultures

We are looking for an experienced Python Developer with 5–6 years of hands-on experience in designing, developing, and maintaining scalable backend applications and APIs. The ideal candidate should have strong expertise in Python, backend frameworks, databases, and cloud/deployment practices. The candidate should be capable of working in a fast-paced environment and collaborating with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities

• Design, develop, test, and maintain robust and scalable Python-based applications.
• Build and integrate RESTful APIs and backend services.
• Work on server-side logic, database integration, and performance optimization.
• Collaborate with frontend developers, QA teams, DevOps, and product teams for end-to-end delivery.
• Write reusable, testable, and efficient code following best practices.
• Debug, troubleshoot, and resolve production issues.
• Participate in code reviews, technical design discussions, and architecture planning.
• Optimize applications for maximum speed, scalability, and reliability.
• Implement security and data protection measures.
• Work with CI/CD pipelines and deployment processes.

Required Skills

• Strong experience in Python development with 5–6 years of relevant experience.
• Hands-on experience with Python frameworks such as:
• Django
• Flask
• FastAPI
• Strong understanding of OOPs, Data Structures, and Algorithms.
• Experience in building and consuming REST APIs.
• Good knowledge of SQL and relational databases like:
• MySQL
• PostgreSQL
• Experience with NoSQL databases like:
• MongoDB
• Redis (preferred)
• Knowledge of ORM frameworks such as SQLAlchemy or Django ORM.
• Familiarity with Git/GitHub/GitLab version control.
• Understanding of unit testing, debugging, and code quality practices.
• Experience in working with Linux/Unix environments.
• Knowledge of Docker, containerization, and deployment concepts.
• Exposure to cloud platforms like AWS / Azure / GCP is preferred.

Preferred / Good to Have Skills

• Experience in microservices architecture.
• Knowledge of Celery, asynchronous processing, and message queues like:
• RabbitMQ
• Kafka
• Familiarity with CI/CD pipelines.
• Experience in writing clean architecture and scalable backend systems.
• Exposure to DevOps practices is a plus.
• Experience in Agile/Scrum methodology. 

About the Role

Qiro is building the infrastructure powering the next generation of underwriting, credit analytics, and tokenized private credit markets.

We are looking for a Tech Lead — Credit & Blockchain Infrastructure to lead the architecture and execution of our core systems — spanning underwriting engines, credit lifecycle workflows, and blockchain-integrated capital markets infrastructure.

This is not a feature delivery role. This is a system ownership role.

You will be hands-on while leading a growing engineering team in a fast-moving, in-office environment.

What You’ll Own

• Define and evolve the long-term technical vision for Qiro’s programmable credit infrastructure — architecting cohesive systems that unify underwriting engines, credit lifecycle workflows, and tokenized capital markets.
• Own the end-to-end architecture of scalable backend platforms (Python and/or TypeScript), establishing clear boundaries between risk logic, platform APIs, and smart contract integrations while ensuring scalability, auditability, and extensibility.
• Build and standardize configurable underwriting and credit lifecycle systems — from onboarding and drawdown orchestration to repayment waterfalls and early closures — ensuring deterministic, traceable financial state transitions at institutional scale.
• Set integration and infrastructure standards across API contracts, data models, validation layers, and event-driven architectures, enabling reliable synchronization between off-chain services and on-chain contracts.
• Architect secure and resilient blockchain integrations, including wallet interactions, capital flow coordination, and observable on-chain/off-chain state reconciliation.
• Lead high-impact, cross-product initiatives from RFC and system design through production launch — validating architectural decisions, aligning stakeholders, and delivering measurable improvements in reliability, performance, and developer velocity.
• Elevate reliability and operational excellence by defining SLOs, strengthening CI/CD and observability practices, reducing latency, and minimizing systemic risk in financial workflows.
• Build and scale the engineering organization — mentoring senior engineers, shaping hiring standards, driving architecture reviews, and fostering a culture of ownership, craftsmanship, and first-principles thinking.
• Partner closely with Product, Design, Security, and Operations to translate complex lending and capital market mechanics into simple, robust platform primitives.

Who You Are

• 6-8+ years of engineering experience, with 3+ years in technical leadership roles.
• Strong backend architecture experience in Python and/or TypeScript.
• Comfortable designing distributed systems and financial workflows.
• Experience building fintech, lending, underwriting, trading, or blockchain-integrated systems.
• Strong understanding of API design, state management, and data modeling.
• Able to navigate ambiguity and build 0→1 infrastructure.
• Hands-on builder who leads by writing production-grade code.

We Value

• Experience with underwriting engines or policy-driven decision systems.
• Exposure to smart contracts and blockchain integrations.
• Familiarity with PostgreSQL and event-driven architectures.
• Experience in early-stage or high-growth startups.
• Strong product thinking and ability to translate complex financial logic into scalable systems.

Why Join Qiro

• Lead the architecture of a programmable credit infrastructure platform.
• Join the founding technical leadership team.
• High autonomy and ownership — your decisions shape the company.
• In-office collaboration in Bangalore for speed and iteration.
• Competitive compensation and meaningful equity.

Our Culture

We operate with:

• First-principles thinking
• Technical craftsmanship
• High ownership
• Fast execution with long-term architectural discipline

Key Responsibilities:

• Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
• Optimize model performance and ensure scalability in production environments.
• Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
• Conduct data analysis to identify trends and insights.
• Implement MLOps practices for versioning, monitoring, and automating ML workflows.
• Research and evaluate new AI/ML techniques, tools, and frameworks.
• Document system architecture, model design, and development processes.

Required Skills:

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
• Hands-on experience in building and deploying, finetuning ML/DL models in production.
• Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
• Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
• Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
• Strong analytical skills and ability to work with large datasets.
• Excellent communication and problem-solving abilities.
• Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
• Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred

Company Description

Euphoric Thought Technologies Pvt. Ltd. provides modern technology solutions with a focus on performance and results for organizations. We are committed to creating a better future by acting differently, thinking carefully, and always being enthusiastic. Euphoric offers services in Product Development, Cloud Management and Consulting, DevOps, ML/AI, ServiceNow Integration, Blockchain Development, and Data Analytics.

Role Description

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

Qualifications

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

Key Skills:

• Hands-on experience with AWS services such as EC2, S3, Lambda, API Gateway, RDS, or DynamoDB ☁️

• Basic understanding of AI/ML concepts and experience with Python-based ML libraries (NumPy, Pandas, Scikit-learn, etc.) 🤖

• Experience in Python / Node.js / Java for backend development 💻

• Understanding of REST APIs and microservices architecture

• Familiarity with Git, CI/CD pipelines, and DevOps fundamentals

• Knowledge of Docker / containerization (preferred) 🐳

• Basic understanding of cloud security, IAM roles, and policies 🔐

• Experience in using AI tools (e.g., ChatGPT, GitHub Copilot, or similar tools) for development, debugging, documentation, and productivity in day-to-day tasks ⚡

Roles & Responsibilities:

• Develop and maintain cloud-based applications on AWS ☁️

• Build and integrate APIs and backend services

• Assist in deploying, monitoring, and managing applications on AWS infrastructure

• Work with the team to integrate AI/ML models or AI-powered services into applications 🤖

• Utilize AI tools for coding assistance, debugging, automation, and improving development efficiency

• Optimize applications for performance, scalability, and reliability

• Collaborate with cross-functional teams for design, development, and deployment

• Troubleshoot and resolve cloud or application-related issues

AWS Certification is mandatory

Education Qualification:

B.Tech/M.Tech from CSE/IT/AI/ML/ECE

We're looking for a Senior Python Developer with experience to join our team. You will lead and contribute to Python-based software projects as a Senior Python Developer, ensuring code quality and efficiency.

Senior Python Developer Job Responsibilities

• Design and Development: Senior Python Developers are in charge of creating Python-based applications and systems. Their code is the foundation of all software projects, ensuring functionality and performance.
• Leadership & Mentorship: Senior Developers frequently take on leadership positions, guiding and mentoring junior developers. They give technical skills and ensure the team adheres to best practices.
• Collaboration: Working collaboratively with cross-functional groups is an important element of this role. They aid in the definition of project demands and specifications, ensuring that software meets business objectives.
• Code Quality Assurance: A Senior Python Developer's role includes code reviews. They ensure code quality, suggest areas for development, and ensure best practices are followed.
• Troubleshooting and Debugging: Senior Python Developers are in charge of finding and resolving code bugs. Their strong problem-solving abilities are put to use as they troubleshoot and debug software to ensure its flawless operation.
• Staying Informed: It is critical to stay current with the newest trends and standards in Python development. Senior Developers ought to be knowledgeable about new technologies and tools.
• Performance Optimisation: They are in charge of optimization and testing to ensure that software is functional and operates smoothly.
• Documentation: Proper code and technical specifications documentation is required to ensure that the development process is open and readily available to the team.

Senior Python Developer Requirements and Skills

• Educational Background: A bachelor's or master's degree in computer science or a related field is a good starting point for this position.
• Experience: 6+yr Proven experience as a Python Developer is required. A strong project portfolio reveals expertise and capability.
• Python Proficiency: A strong understanding of Python and its associated libraries is required. It is critical to have a thorough understanding of Python's capabilities and limitations.
• Web Frameworks: Knowledge of web frameworks such as Django or Flask is advantageous because it speeds up web application development.
• Database Knowledge: Understanding of relational and non-relational databases is frequently required. Understanding how to work with databases is essential for developing reliable software.
• Front-End Skills: Being familiar with front-end technologies such as HTML, CSS, and JavaScript can be a valuable addition to the skill set of a Senior Python Developer, particularly when working on web applications.
• Version Control: Working knowledge of source control systems such as Git is frequently required, as it aids in code integrity and collaboration.
• Problem-Solving Skills: Strong skills in problem-solving and attention to detail are required. Senior Python developers must be able to effectively identify and resolve issues.
• Communication and Collaboration: Effective communication and collaboration with team members and stakeholders are critical to the success of projects.
• Leadership Experience: Prior leadership or mentorship experience is a significant asset. The ability to mentor and lead junior developers is frequently required.

Role Overview: We are seeking a Research Engineer to develop AI-driven solutions at the intersection of energy, climate science, and artificial intelligence. You will play a pivotal role in product development, leveraging data science and machine learning to solve engineering challenges.

Responsibilities:

• Develop and deploy data-driven solutions for energy and power market applications.
• Analyze large, diverse data sets: meteorological, local sensors (wind, solar, consumption), images (satellite images, etc.).
• Solve core engineering problems with AI/ML techniques, domain expertise, and advanced modeling.
• Design and build scalable pipelines for training, testing, and deploying models.
• Communicate complex ideas effectively to both technical and non-technical stakeholders.
• Collaborate across teams to drive product development and ensure impactful outcomes.

Expectations:

• Ability to move from broad vision to technical solutions.
• Ownership mindset: accountability for effort and outcomes.
• Integrity, transparency, and teamwork. Requirements:
• Strong analytical skills with a data-driven and scientific approach.
• Proficiency in Python, capable of handling both structured and unstructured data.
• Prior experience (industry or academia) building machine learning or deep learning based AI solutions.
• Prior experience in LLM & GenAI is a plus.

Company: Wissen Technology

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology/

Wissen Technology, part of the Wissen Group founded in 2000, is a specialized technology company delivering high-end consulting services across Banking & Finance, Telecom, and Healthcare domains. The organization has grown significantly in recent years and works with several Fortune 500 clients including Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, and others.

Position Name - Senior Python Full Stack developers with Agentic AI

Location - Mum/Pune

Experience: 8-12 years. 

Key Responsibilities 

• Agent Development: Design, build, and deploy autonomous agents capable of independent decision-making, planning, and task execution.
• AI Orchestration: Utilize frameworks like LangGraph, AutoGen, CrewAI, or LangChain to orchestrate complex agentic workflows.
• LLM Integration: Integrate Large Language Models (LLMs) (e.g., GPT-4, Claude) with internal tools, vector databases, and external APIs using Retrieval-Augmented Generation (RAG) techniques.
• System Optimization: Optimize AI models for performance, scalability, and security in production environments.
• Memory & Context: Implement memory management for agents to ensure context retention across long-running tasks.
• Evaluation & Monitoring: Develop evaluation frameworks for agent performance and maintain agent observability (AgentOps). Naukri.com +3

Required Technical Skills

• Programming: Strong expertise in Python OOPs , asynchronous programming, and RESTful APIs.
• AI Frameworks and Tools : Deep knowledge of LangChain, LangGraph or AutoGen.
• Tools & Technologies: Vector Databases (Pinecone, Chroma), Prompt Engineering, and Agentic Design Patterns.
• Cloud & DevOps: Experience with AWS, GCP, or Azure and containerization (Docker, Kubernetes) for AI deployment.
• Database: Experience with SQL/NoSQL databases. 

EasySLR is pioneering the future of systematic literature reviews through AI and innovative technologies. Our platform, recognized by industry leaders and academic communities alike, redefines the way researchers conduct reviews, making the process faster, smarter, and more intuitive. We've been at the forefront of AI-driven research, presenting at major conferences and setting new standards in evidence synthesis. If you are a visionary leader with a passion for technology and a drive to make a significant impact, we want you to join our mission to transform the research landscape.

Responsibilities :

- Lead and mentor a team of talented engineers, fostering a culture of innovation, collaboration, and continuous learning.

- Architect and oversee the development of a scalable, high-performance platform that integrates cutting-edge AI technologies and industry best practices.

- Drive the engineering strategy, ensuring alignment with our product vision and business goals.

- Collaborate closely with cross-functional teams, including product, design, and AI experts, to deliver a world-class product experience.

- Ensure the robustness, security, and scalability of our infrastructure, leveraging your deep expertise in cloud computing and full-stack development.

- Stay ahead of emerging technologies, incorporating the latest advancements into our platform and maintaining our competitive edge.

- Cultivate a high-performing engineering team through effective hiring, coaching, and professional development opportunities.

Requirements :

- 4+ years of experience in software engineering, with a proven track record of leading high-performing engineering teams.

- Expertise in full-stack development, with hands-on experience in Python, Node.js, and frameworks like Next.js.

- Extensive experience with cloud platforms, particularly AWS, and familiarity with tools like AWS Lambda, AWS CDK, and containerization technologies.

- Strong background in designing and scaling complex, distributed systems with a focus on performance and security.

- Experience in AI/ML-driven product development is a significant plus.

- Exceptional problem-solving skills, with a strategic mindset and the ability to make data-driven decisions.

- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

What We Offer :

- The opportunity to lead a cutting-edge platform at the intersection of AI and systematic literature reviews.

- Competitive compensation and a clear path to executive leadership.

- A vibrant, inclusive work culture that values diversity, innovation, and work-life balance.

- The chance to make a meaningful impact in a fast-growing, AI-first SaaS company shaping the future of research.

Ready to lead the engineering efforts that will drive the next generation of AI-driven systematic reviews? Join us at EasySLR and be part of a team that's revolutionizing the research process. Apply now and embark on an exciting journey at the forefront of technology and innovation

Job Title: Tech Lead (Backend Heavy)

Location: Onsite – Indore (Vijaynagar), MP, India

Experience: 4–6 Years

Notice Period: Immediate to 30 days preferred

Company Overview

Kuvaka Tech builds scalable, high-performance products across Web2 and Web3 ecosystems. We operate in a fast-paced startup environment, focusing on delivering efficient, production-ready solutions within tight timelines.

Role Overview

We are looking for a Tech Lead who is backend-heavy, highly product-driven, and capable of owning end-to-end technical execution. The ideal candidate should be comfortable working across multiple backend stacks, while also having enough frontend understanding to unblock issues independently.

This role requires someone who can solve problems proactively, handle technical blockers without unnecessary escalations, and drive projects efficiently in a startup environment.

Key Responsibilities

Technical Ownership

• Take end-to-end ownership of projects from planning to deployment
• Ensure timely delivery under tight deadlines
• Maintain high standards of code quality, scalability, and performance

Backend Development (Core Focus)

• Design and build scalable backend systems using Python and other backend stacks
• Architect APIs, services, and data flows for high-performance applications
• Handle complex technical challenges independently

Frontend Awareness

• Possess working knowledge of frontend technologies (React.js / Next.js)
• Be capable of debugging and resolving frontend issues when required

Problem Solving & Execution

• Identify and resolve technical blockers independently before escalation
• Drive solutions with a cost-efficient and time-efficient approach
• Optimise system performance and architecture
• 
  

Innovation & Product Thinking

• Contribute new ideas and technical improvements
• Think from a product perspective, not just implementation
• Continuously improve processes and delivery speed

Collaboration & Leadership

• Work closely with cross-functional teams (Product, Design, Engineering)
• Communicate effectively with stakeholders
• Guide junior developers when required

Required Skills-

Core Technical

• Strong experience in Python (Django/FastAPI preferred)
• Experience with multiple backend stacks (Node.js, etc. is a plus)
• Solid understanding of system design, APIs, and databases

Frontend Understanding

• Hands-on or working knowledge of React.js / modern frontend frameworks

Engineering Mindset

• Strong problem-solving skills
• Ability to handle pressure and tight deadlines
• Experience working in startup environments

Ideal Candidate Profile

• 4–6 years of experience in product-based or startup environments
• Has worked on multiple projects end-to-end
• Highly productive, proactive, and ownership-driven
• Strong communication skills
• Ability to take initiative and make decisions independently
• Focused on efficiency, scalability, and execution speed

What We’re Looking For

• Someone who doesn’t wait for instructions but takes initiative
• A problem solver who fixes issues before they escalate
• A tech-driven thinker with strong execution capability
• Comfortable in fast-moving, high-pressure startup setups

Hiring Process

• HR Round
• Assignment
• Technical Round
• Cultural Fit Round
• Founder’s Call

Job Title: Full Stack Engineer (Django + Next.js)

We’re looking for a Full Stack Engineer with strong backend fundamentals and solid frontend experience to build scalable web products and APIs.

Must-Have

• Django + DRF (2+ years): Models, serializers, services, API views, migrations, query optimization (select_related / prefetch_related), transaction.atomic, custom managers

• Next.js + React (2+ years): App Router, SSR, client components, dynamic imports, useQuery, responsive UIs with Tailwind

• REST APIs: Auth, permissions, pagination, error handling, CORS, JWT flows

• PostgreSQL: Schema design, indexes, constraints, JSON fields, raw SQL when needed

• Celery / async tasks: Retry logic, idempotency, task chaining

• Git: Clean commits, branching, PR workflow

Good to Have

• AI / LLM integrations

• AWS S3 and presigned uploads

• Multi-tenancy

• WebRTC / MediaRecorder

• Docker

• Testing with pytest / Django TestCase / factory_boy

We’re looking for someone who can independently own features end-to-end and write clean, scalable code.

Job Overview

Architect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves ensuring regulatory compliance and maintaining secure, reliable financial transactions across systems.

Key responsibilites

• Design, develop, and maintain scalable backend services and APIs using NodeJS and Python
• Build event-driven architectures using RabbitMQ and Kafka for real-time data processing
• Develop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing
• Ensure system reliability, security, and low-latency performance for mission-critical systems
• Lead technical design discussions, conduct code reviews, and mentor junior engineers
• Optimize database queries, implement caching strategies, and improve overall system performance
• Collaborate with cross-functional teams to deliver end-to-end product features
• Implement monitoring, logging, and observability solutions

Required Skills and Qualifications

• 3+ years of professional backend development experience
• Strong expertise in NodeJS and Python for production-grade applications
• Proven experience building RESTful APIs and microservices architectures
• Strong proficiency in PostgreSQL, including query optimization and schema design
• Hands-on experience with RabbitMQ and Kafka
• Experience with BigQuery or similar data warehousing solutions
• Solid understanding of distributed systems, scalability patterns, and high-traffic applications
• Strong knowledge of authentication, authorization, and security best practices, especially in financial systems
• Experience with Git, CI/CD pipelines, and modern development workflows
• Excellent problem-solving and debugging skills
• Exposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus.

Location: Sion, Mumbai

Also Apply at https://wohlig.keka.com/careers/jobdetails/122768

Job Summary

We are seeking a skilled Python Platform Developer to join our engineering team. You will be responsible for building, optimizing, and maintaining the core backend infrastructure and internal platforms that power our applications. The ideal candidate will build scalable API architectures, enhance data security, and implement automation to improve developer productivity. 

Key Responsibilities

• Platform Development: Design, develop, and maintain robust and scalable backend services, API frameworks, and shared libraries using Python.
• Infrastructure Automation: Build and maintain tools for infrastructure automation using technologies such as AWS (Lambda, EC2, S3), Docker, and Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Performance Optimization: Improve system performance, low-latency API interactions, and data storage solutions.
• CI/CD Optimization: Develop, maintain, and improve automated testing and continuous integration/continuous deployment (CI/CD) pipelines.
• Collaboration: Work closely with product engineers, DevOps, and frontend developers to define requirements and deliver reliable infrastructure solutions.
• Security & Monitoring: Implement strong security protocols and monitoring solutions (e.g., Prometheus, Datadog) to ensure platform reliability. 

Required Skills and Qualifications

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience: 3–5+ years of experience in software development with a heavy focus on Python.
• Core Python: Deep understanding of Python 3.x, object-oriented programming (OOP), and asynchronous programming (e.g., asyncio).
• Frameworks: Hands-on experience with web frameworks like FastAPI, Django, or Flask.
• Cloud Platforms: Experience with AWS or GCP services.
• Tools: Proficient with Git, Docker, and CI/CD pipelines.
• Database: Strong knowledge of SQL and database management. 

Preferred Skills

• Experience with serverless architectures.
• Knowledge of Kubernetes.
• Experience in a DevOps or Site Reliability Engineering (SRE) role.

About the Company

TurboHire is redefining enterprise hiring through cutting-edge AI and intelligent automation.Our platform enables large organizations to hire smarter, faster, and at scale. As a rapidly growing HR Tech company, we offer an environment driven by innovation, ownership, and high-impact problem solving.

Job Overview

At TurboHire, we’re looking for a Senior Full Stack Developer who wants to build products that truly scale. This isn’t just another development role — it’s an opportunity to architect and deliver enterprise-grade AI products that solve complex, real-world challenges.

You will work across the stack with strong ownership and technical influence, solving large-scale engineering problems while collaborating with a sharp, driven, and fast-moving team. If you are passionate about clean architecture, performance, scalability, and building products that matter, this role offers the platform to do exactly that — while growing with a company that is scaling rapidly.

Key Responsibilities

●Architect and build high-impact, enterprise-grade AI-driven products

●Collaborate with designers and engineers to develop scalable web applications

●Write clean, efficient, and production-ready code

●Take end-to-end ownership of features from design to deployment and maintenance

●Ensure adherence to software engineering best practices for performance andscalability

●Leverage modern tools, frameworks, and third-party services to accelerate delivery

Eligibility Criteria

●Bachelor’s degree in Engineering, MCA, or equivalent

●Strong foundation in Object-Oriented Programming

●Experience working in Agile development environments

●Familiarity with version control systems, build tools, and web frameworks

●Proficiency in Git

●Knowledge of C# or Java is an added advantage

●1-3 years of relevant work experience

●Tech Stack: Backend = Asp.net or Java or C++

●Frontend = React or Angular or Knockout etc

●RESTful APIs

●Database - SQL Server

Essential Functions/Responsibilities

• Provide hands-on development in the application development, unit test, and rollout of

strategic web and Mobile initiatives.

• Develop both front-end and back-end for web/mobile applications, working with a hybrid

internal/vendor team, to support various lines of business and functional areas

• Work with Business Owners and Business Analysis teams, to create business requirements.

• Document technical requirements and technical specifications for Web/Mobile

applications (and related integrated solutions) and provide technical solutions to support

those needs.

• Provide feedback (and approval) on technical designs and methods to support business

requirements.

• Effectively communicate relevant project planning and status information to

leadership/management.

• Deliver engaging, informa<ve, well-organized demos/presenta<ons that are effectively

tailored to the intended audience, as needed

DevOps Engineer

Location: Bangalore office

About Peliqan

Peliqan is an all-in-one data platform combining ELT/ETL pipelines, a built-in data warehouse, SQL and low-code Python transformations, reverse ETL, and AI-powered data activation. We connect 250+ data sources and serve enterprise teams, consultants, and SaaS companies. SOC 2 Type II certified and GDPR compliant.

The Role

Own and evolve the infrastructure powering Peliqan's multi-tenant data platform. You'll manage Kubernetes clusters, cloud resources, CI/CD pipelines, and monitoring — keeping everything reliable, secure, and scalable. You'll be the go-to person for infrastructure support across the engineering team.

Responsibilities

Manage and optimise Kubernetes clusters running production workloads — data pipelines, APIs, and customer-facing services.

Maintain Docker-based local development environments for the engineering team.

Administer cloud infrastructure on AWS and Google Cloud (compute, storage, networking, managed databases).

Build and maintain CI/CD pipelines for automated testing, building, and deploying across staging and production.

Set up and manage monitoring, alerting, and logging for platform health and incident response.

Manage release processes — deployments, rollbacks, and release strategies.

• Maintain infrastructure-as-code using Helm charts.
• Support security hardening and compliance efforts (SOC 2, GDPR).

Requirements

3+ years in a DevOps, SRE, or Infrastructure Engineering role.

Strong hands-on experience with Kubernetes and Helm charts.

Deep familiarity with Docker for containerisation and local dev workflows.

Production experience with AWS and/or Google Cloud.

• Proficiency in Python and Bash scripting for automation and tooling.
• Solid grasp of DevOps principles: infrastructure-as-code, GitOps, observability, continuous delivery.
• Experience with CI/CD platforms (GitHub Actions, GitLab CI, or similar).

Nice to Have

• Experience supporting multi-tenant SaaS platforms or data infrastructure at scale.
• Knowledge of PostgreSQL, MySQL, or cloud-managed database administration.
• Exposure to security compliance frameworks (SOC 2, ISO 27001, GDPR).

QA Tester

Location: Bangalore office

About Peliqan

Peliqan is an all-in-one data platform combining ELT/ETL pipelines, a built-in data warehouse, SQL and low-code Python transformations, reverse ETL, and AI-powered data activation. We connect 250+ data sources and serve enterprise teams, consultants, and SaaS companies. SOC 2 Type II certified and GDPR compliant.

The Role

Own quality end-to-end across Peliqan's platform — from the frontend UI and data apps to backend pipelines, connectors, and APIs. You'll design test strategies, build automated test suites, and work closely with developers to ship reliable software. Comfort using AI tools to accelerate test creation is essential.

Responsibilities

Design and maintain test plans covering manual and automated testing for features, regressions, and releases.

Write unit tests for the frontend (Jest) and backend (pytest).

• Build and extend end-to-end test suites using Playwright across critical user flows — connector setup, data transformations, data app publishing, API creation.
• Use AI tools (Copilot, Claude, etc.) to rapidly generate and refine test cases and test data.
• Triage, document, and track defects with clear reproduction steps.
• Integrate automated tests into CI/CD pipelines.
• Conduct exploratory testing across data pipelines, the query engine, and user-facing interfaces.

Requirements

2+ years in a QA or SDET role, ideally in SaaS or data products.

Hands-on experience with Jest, pytest, and Playwright.

• Comfortable with Python for scripting and test automation.
• Demonstrated use of AI tools to craft and scale test suites.
• Familiarity with CI/CD pipelines and REST API testing.
• Strong analytical mindset and clear written communication.

Nice to Have

• Experience testing ETL/ELT pipelines or database-heavy applications.
• Familiarity with SQL and data validation testing.
• Exposure to Docker and containerised environments.

Description :

Job Title : Python Engineer- AI Agents & Code Optimization

Experience : 2+ Years

Employment Type : Full-time

Location : Remote

About the Role :

We are looking for a hands-on Software Engineer to build and improve AI agents that work directly on our production code.

Your core responsibility will be to design and evolve a specialized AI agent that deeply understands our codebase and actively helps make it faster, cleaner, simpler, and cheaper to maintain.

This is not a research role. This is real work on real systems with real business impact.

How We Work :

- Business impact first : Cheaper, Faster, Better

- Simple beats complex always

- Small changes, shipped fast

- You own your work end-to-end

- First question is always : Do we even need this?

- Flat team, zero micromanagement

- Decisions can change adaptability matters

- No long PRDs : one clear goal ? discuss ? execute

- Ship, measure, improve, repeat

What You Will Do :

- Build and use AI agents to optimize, refactor, and remove code

- Feed logs, metrics, and performance data back into AI agents

- Profile applications and identify performance bottlenecks

- Optimize SQL queries and database usage

- Improve deployment pipelines and release processes

- Continuously improve internal AI tooling

- Work closely with infrastructure and production systems

Tech You Should Be Comfortable With :

You dont need to be an expert in everything, but you should be comfortable working with :

- Linux CLI (Required)

- Python

- PHP

- SQL (MySQL or MariaDB)

- Shell scripting

- Large Language Models (LLMs)

What Were Looking For :

- 2+ years of software engineering experience (or strong hands-on projects)

- Solid understanding of performance optimization

- Experience cleaning up legacy or messy codebases

- Practical profiling and debugging skills

- Comfortable working close to infrastructure and deployments

- Automation-first mindset

- Ability to explain technical decisions clearly and simply in English

Nice to Have :

- Experience building AI agents

- Exposure to large or long-running systems

- CI/CD or deployment automation experience

When You Join :

- Career Growth : You are expected to grow into a tech lead, entrepreneur, or highly skilled specialist

- Bleeding-Edge Tech : Hands-on experience with alpha/beta software, cutting-edge infrastructure, and top tier hardware

- Global Exposure : Work with a global team and directly with C-level leadership

- Real Impact : Your code directly solves real user problems and moves the company forward

Role & Responsibilities

As a Junior Full Stack Engineer at , you will work on product features end-to-end - from the data model to the pixel on the screen.

You will work alongside senior engineers, learn to bridge engineering and product, and contribute to translating complex business workflows into interfaces that enterprise teams actually use. You will own smaller features and grow into full vertical ownership over time.

• Work on product features end-to-end - complex configuration UIs, workflow builders, and operational dashboards for enterprise users
• Contribute to customer-facing surfaces - SDKs, embeddable flows, and APIs that directly shape how clients experience
• Learn and apply frontend architecture best practices - component structure, state management, performance optimisation, and accessibility
• Build backend APIs and data models under senior guidance - developing end-to-end ownership over time
• Debug issues across the full stack - learn to trace problems from symptom to root cause
• Collaborate with design, product, and customer success - hear feedback from real users and let it shape what you build
• Partner with the GenAI engineer to surface AI capabilities through clean, well-designed product interfaces
• Participate in code and design reviews to learn and grow

Ideal Candidate

• Strong Full Stack Engineer profiles
• Mandatory (Experience 1) – Must have 1+ years of hands-on full stack engineering experience (avoid frontend-heavy only profiles, backend heavy will work)
• Mandatory (Experience 2) – Must have strong backend engineering experience using Python, including designing and owning APIs, services, and data models in production environments
• Mandatory (Experience 3) – Must have strong frontend development experience using React (or equivalent), including component architecture, state management, and building production-grade user interfaces
• Mandatory (Experience 4) – Must have end-to-end ownership experience, building and shipping features across the full stack (UI + API + database) without clear handoff boundaries
• Mandatory (Experience 5) – Must have strong web fundamentals, including understanding of browser rendering, performance optimization, and accessibility best practices
• Mandatory (Experience 6) – Must be able to demonstrate solving complex problems on both frontend and backend, clearly articulating trade-offs, decisions, and outcomes
• Mandatory (Experience 7) – Must have solid experience with databases (SQL/NoSQL), including schema design, query optimization, and handling performance bottlenecks
• Mandatory (Company) - Top Product Companies, (preferred early-stage startups with Seed to Series C/D with fast-paced shipping culture)
• Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies
• Preferred (Skill 1) – Strong proficiency in TypeScript, with experience in type-safe architecture and scalable frontend/backend systems
• Preferred (Skill 2) – Experience with testing frameworks such as Cypress / Playwright and strong unit testing practices
• Preferred (Skill 3) – Experience working with cloud platforms (AWS preferred)

Strong Full Stack Engineer profiles

Mandatory (Experience 1) – Must have 1+ years of hands-on full stack engineering experience (avoid frontend-heavy only profiles, backend heavy will work)

Mandatory (Experience 2) – Must have strong backend engineering experience using Python, including designing and owning APIs, services, and data models in production environments

Mandatory (Experience 3) – Must have strong frontend development experience using React (or equivalent), including component architecture, state management, and building production-grade user interfaces

Mandatory (Experience 4) – Must have end-to-end ownership experience, building and shipping features across the full stack (UI + API + database) without clear handoff boundaries

Mandatory (Experience 5) – Must have strong web fundamentals, including understanding of browser rendering, performance optimization, and accessibility best practices

Mandatory (Experience 6) – Must be able to demonstrate solving complex problems on both frontend and backend, clearly articulating trade-offs, decisions, and outcomes

Mandatory (Experience 7) – Must have solid experience with databases (SQL/NoSQL), including schema design, query optimization, and handling performance bottlenecks

Mandatory (Company) - Top Product Companies, (preferred early-stage startups with Seed to Series C/D with fast-paced shipping culture)

Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies

Role Summary:

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3-8 years of prior experience in data engineering, with a strong background in working on modern data platforms. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

• Design, develop, and maintain data pipelines using Databricks (PySpark / Spark SQL)

• Build and manage data pipelines across Bronze, Silver, and Gold layers using Delta Lake

• Implement ETL/ELT workflows for batch and near real-time processing

• Work with Databricks Workflows for orchestration and job scheduling

• Leverage Unity Catalog for data governance, access control, and metadata management

• Optimize Spark jobs, cluster configurations, and cost efficiency

• Collaborate with business and analytics teams to translate requirements into scalable data models

• Integrate data from multiple sources (APIs, databases, cloud storage)

• Ensure data quality, validation, and observability across pipelines

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

Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field.

• Overall 3+ years of prior experience in data engineering, with a focus on designing and building data pipelines

• Hands-on experience with Databricks platform and ecosystem

• Strong proficiency in Python (PySpark) and SQL

• Experience working with Delta Lake (ACID transactions, time travel, schema evolution)

• Good understanding of data warehousing concepts and dimensional modeling

• Familiarity with Unity Catalog (data governance, RBAC, lineage basics)

• Understanding of Spark performance tuning and optimization techniques

• Experience with cloud platforms (AWS / Azure / GCP)

• Working knowledge of Git and CI/CD practices

• Familiarity with implementing CI/CD processes or other orchestration tools is a plus.

About the Role

Pendo is looking for a Senior Engineering Manager to lead teams building core product capabilities across Analytics, Guides, and Platform services. These are the systems that power how hundreds of millions of end users experience the software.

In this role, you will drive execution against business objectives, direct complex initiatives from kickoff through delivery, and build a team that operates with clarity and focus. You will set clear expectations, delegate effectively, and partner closely with product, design, and senior engineering leadership to keep teams aligned and moving. You default toward action, push teams to deliver value daily, and actively use AI tools as part of how you work.

If you're energized by directing high-impact teams, developing strong engineers, and building a culture where craft and velocity coexist, this role is a great fit.

What You'll Do

Team Leadership & Hiring

• Create an environment where engineers are encouraged to take risks, experiment, and challenge the status quo.
• Lead, mentor, and grow a team of engineers through clear expectations, coaching, and timely feedback.
• Own hiring end-to-end, partnering with recruiting to attract and close top engineering talent.
• Build an inclusive, high-performing team culture grounded in ownership, accountability, and continuous improvement.

Delivery & Execution

• Maintain a high bar for velocity, predictability, and quality.
• Own team execution against product and engineering goals.
• Partner with Product and Design to define roadmaps, scope work, and deliver high-quality outcomes.
• Identify and remove blockers, manage risks, and ensure strong planning and prioritization.

Technical Leadership

• Guide technical direction in partnership with senior engineers and tech leads.
• Shape architecture that drives delivery speed while preserving quality, reliability, and adaptability.

Cross-Functional Collaboration

• Work closely with product, design, infrastructure, and other engineering teams to deliver cohesive customer experiences.
• Align team priorities with broader organizational goals and strategy.

Operational Excellence

• Drive improvements in system reliability, performance, and scalability.
• Establish strong practices around monitoring, incident response, and continuous improvement.

What We're Looking For

• 8+ years of experience in software engineering.
• 3+ years of experience managing and growing engineering teams.
• Proven track record of hiring and building high-performing teams.
• Experience delivering complex, cross-functional initiatives in a product-driven environment.
• Strong technical foundation in backend, distributed systems, or full-stack development.
• Proven ability to lead teams through ambiguity and change while maintaining execution.
• Actively uses AI tools in day-to-day work and helps drive adoption across teams.
• Strong communication, organizational, and stakeholder management skills.

Nice to Have

• Experience working on analytics products, user-facing SaaS platforms, or data-intensive systems.
• Experience managing teams across both frontend and backend domains.
• Familiarity with modern cloud environments and scalable architectures.
• Experience working in distributed teams across multiple time zones.

Product Engineer (Full Stack) – AI & Healthcare

About Us

We are building a next-generation computational model of human biology to predict, prevent, and cure diseases at their source. By combining real-world biological data, diagnostics, and advanced modeling, we aim to make biology computable.

Our platform integrates at-home diagnostics, biomarker tracking, and lifestyle data (wearables, sleep, nutrition) to create a continuous, connected view of human health.

Role Overview

We are looking for a Product Engineer who combines strong engineering skills with product intuition and design sensibility. You will build high-quality, performant software that serves as the interface between individuals and their biology.

This is a high-ownership role where you will work closely with design and product teams to ship impactful features end-to-end.

Key Responsibilities

• Build and ship scalable, reliable full-stack systems
• Develop intuitive, high-quality user interfaces for complex biological data
• Collaborate closely with design to deliver polished user experiences
• Own features end-to-end: from ideation to production
• Optimize performance, responsiveness, and usability
• Work in a fast-paced, AI-first environment

Required Skills & Qualifications

• 2–4 years of experience building and shipping production systems
• Strong proficiency in full-stack development
• Experience with modern frontend frameworks (React preferred)
• Solid understanding of backend systems and APIs
• Strong product sense and attention to UI/UX detail
• Ability to work independently and make decisions quickly

Preferred Qualifications (Good to Have)

• Experience in startup environments
• Strong side projects or open-source contributions
• Experience with product analytics tools
• Exposure to AI/ML or agent-based systems

Tech Stack

• Frontend: TypeScript, React 18, Vite, Tailwind, TanStack, Radix
• Mobile: React Native, Nativewind
• Backend: Python (FastAPI, Pydantic)
• Database: Supabase, PostgreSQL
• AI/Tools: Braintrust, LiteLLM
• Analytics: Mixpanel, Amplitude, FullStory

Compensation & Benefits

• CTC: ₹30L – ₹35L (Base) + ESOPs
• Location: HSR Layout, Bengaluru (In-person)
• Work Schedule: 6 days/week (Mon–Sat)
• Joining: Immediate

Perks:

• Sponsored healthy meals (lunch & dinner)
• Gym subscription
• Learning & development budget
• Freedom to use tools/tech of your choice

How We Work

• AI-first mindset
• Founder-mode ownership
• Speed over process
• High trust, high autonomy
• Focus on learning velocity

Why Join Us?

• Work on one of the hardest problems in human history
• Build products at the intersection of AI, healthcare, and design
• Direct impact on improving human health outcomes
• High-growth, high-learning environment 

Intern (GenAI - Python) - 3 Months Unpaid Internship

Job Title: GenAI Intern (Python) - 3 Months Internship (Unpaid)

Location: Ahmedabad (On-Site)

Duration: 3 Months

Stipend: Unpaid Internship

Company: Softcolon Technologies

About the Internship:

Softcolon Technologies is seeking a dedicated GenAI Intern who is eager to delve into real-world AI applications. This internship provides hands-on experience in Generative AI development, focusing on RAG systems and AI Agents. It is an ideal opportunity for individuals looking to enhance their skills in Python-based AI development through practical project involvement.

Eligibility:

• Freshers or currently pursuing BE (IT/CE) or related field
• Strong interest in Generative AI and real-world AI product development

Required Skills (Must Have):

• Basic knowledge of Python
• Basic understanding of Python frameworks like FastAPI and basic Django
• Familiarity with APIs and JSON
• Submission of resume, GitHub Profile/Project Portfolio, and any AI/Python project links

What You Will Learn (Internship Goals):

You will gain hands-on experience in:

• Fundamentals of Generative AI (GenAI)
• Building RAG (Retrieval-Augmented Generation) applications
• Working with Vector Databases and embeddings
• Creating AI Agents using Python
• Integrating LLMs such as OpenAI (GPT models), Claude, Gemini
• Prompt Engineering + AI workflow automation
• Building production-ready APIs using FastAPI

Responsibilities:

• Assist in developing GenAI-based applications using Python
• Support RAG pipeline implementation (embedding + search + response)
• Work on API integrations with OpenAI/Claude/Gemini
• Assist in building backend services using FastAPI
• Maintain project documentation and GitHub updates
• Collaborate with team members for tasks and daily progress updates

Selection Process:

• Resume + GitHub portfolio screening
• Short technical discussion (Python + basics of APIs)
• Final selection by the team

Why Join Us?

• Practical experience in GenAI through real projects
• Mentorship from experienced developers
• Opportunity to work on portfolio-level projects
• Certificate + recommendation (based on performance)
• Potential for a paid role post-internship (based on performance)

How to Apply:

Share your resume and GitHub portfolio link via:

Python Embedded Engineer

📍 Location: Chennai

💼 Experience: 3+ Years

💰 Budget: ₹1.2 LPM

🔍 Role Overview

We are looking for a skilled Python Embedded Engineer with hands-on experience in embedded systems. The ideal candidate will work closely with cross-functional teams to design, develop, and optimize software solutions that interact with hardware platforms.

We prefer candidates who are reliable, strong communicators, and technically sound.

🛠️ Key Responsibilities

• Design, develop, and maintain robust Python-based applications
• Work on embedded system software development & integration
• Collaborate with hardware, firmware, and system teams
• Optimize software performance for embedded environments
• Debug, troubleshoot, and resolve system-level issues
• Participate in code reviews and follow coding standards
• Support testing, validation, and product release

✅ Required Skills

• 3+ years of experience in Python development
• Strong understanding of software development fundamentals
• Experience or exposure to embedded systems (mandatory)
• Knowledge of hardware-software interaction & communication protocols
• Familiarity with Git/version control systems
• Strong analytical, problem-solving & communication skills

➕ Good to Have

• Experience with C/C++
• Knowledge of RTOS or Linux-based embedded systems
• Experience with microcontrollers, sensors, or device drivers
• Exposure to CI/CD pipelines & automated testing

🎯 Ideal Candidate

• Trustworthy and dependable
• Strong communication skills
• Ability to work in a cross-functional environment