325 Python Jobs in Chennai | Python Job openings in Chennai

Chief Engineer - Artificial Intelligence

AI Architecture | Production Engineering | LLM, RAG & Agentic AI

Primary objective: Build secure, scalable and reusable AI capabilities that move from experimentation to reliable production use across DocTutorials products and business functions.

Department

Technology & Product Engineering

Location

Hyderabad / Chennai

Reports to

Vice President - Technology

Experience

10+ years in software engineering, including 5+ years in AI/ML

Role Summary

The Chief Engineer - AI will define and lead AI engineering architecture, standards and production implementation. This is a senior, hands-on technical leadership role responsible for building reliable AI platforms and guiding AI engineers, data teams and application teams.

Key Responsibilities

1. AI Strategy and Architecture

·       Define the AI engineering strategy, architecture and technical roadmap.

·       Evaluate and select suitable models, frameworks, vector databases and AI platforms.

·       Make practical build-versus-buy and open-source-versus-commercial decisions.

·       Ensure AI solutions are modular, reusable, scalable, secure and cost-effective.

2. Production AI Engineering

·       Lead AI initiatives from use-case assessment and proof of concept through production deployment.

·       Build reusable AI services, APIs, pipelines and platform components for web, mobile and internal applications.

·       Establish development, testing, deployment, monitoring and production-support practices.

·       Resolve complex issues involving model quality, retrieval, performance, reliability and cost.

3. LLM, RAG and Agentic AI

·       Design LLM applications, enterprise RAG solutions and controlled AI-agent workflows.

·       Build document processing, chunking, embedding, indexing, retrieval and response pipelines.

·       Implement source traceability, human approval and clear permissions for sensitive use cases.

·       Improve response quality through prompt design, retrieval optimisation and evaluation.

4. AI Quality, Security and Responsible AI

·       Define evaluation standards for accuracy, relevance, groundedness, safety, latency and cost.

·       Introduce benchmark datasets and regression testing for prompts, models and retrieval pipelines.

·       Implement safeguards for hallucinations, unsupported responses, data leakage and unsafe actions.

·       Ensure role-based access, encryption, audit logging, secure secrets handling and approved data usage.

5. AI Platform and Integration

·       Create common AI capabilities and integration standards that can be reused across products and teams.

·       Integrate AI services with applications, databases and approved enterprise data sources.

·       Implement observability for model usage, quality, errors, response time and cost.

·       Reduce dependency on a single model provider, individual engineer or external vendor.

6. Technical Leadership and Team Development

·       Define AI engineering standards for architecture, coding, review, testing and documentation.

·       Remain hands-on through design reviews, critical code reviews, debugging and focused prototypes.

·       Mentor AI/ML engineers, data engineers and application teams; support hiring and capability building.

·       Work with Product and business teams to convert high-value problems into measurable AI solutions.

Required Skills and Experience

·       10+ years of software engineering experience, including 5+ years in practical AI/ML engineering.

·       Proven experience moving AI solutions from prototype to reliable production use.

·       Strong Python and production API development experience, preferably FastAPI.

·       Strong knowledge of LLMs, RAG, prompt engineering, embeddings and agentic AI.

·       Experience with vector databases such as pgvector, Qdrant, Milvus or Weaviate.

·       Experience with LangChain, LlamaIndex, Haystack or similar orchestration frameworks.

·       Knowledge of cloud architecture (preferably AWS), microservices, databases, queues and distributed systems.

·       Experience with Docker, Kubernetes, CI/CD, observability and production support.

·       Strong understanding of application security, data privacy and responsible-AI engineering.

·       Demonstrated technical leadership, mentoring and stakeholder-management capability.

Good-to-Have Experience

·       Healthcare, medical education, EdTech or digital-learning platforms.

·       Medical-content intelligence, knowledge graphs, ontologies, taxonomy or semantic search.

·       Clinical Case Library, personalised learning or recommendation systems.

·       Multi-modal AI involving text, audio, images or video.

·       Healthcare-data privacy, de-identification or standards such as SNOMED CT, ICD, HL7 or FHIR.

How Success Will Be Measured

·       Production adoption and measurable business or learner impact of AI capabilities.

·       Accuracy, groundedness, reliability, security and cost efficiency of AI solutions.

·       Reusable AI services delivered across products with reduced technical and vendor dependency.

·       Improved capability, engineering quality and ownership within the AI team.

We are looking for a hands-on AI engineering leader who can distinguish a valuable production capability from an attractive demo and build AI that is secure, scalable, measurable and maintainable.

JOB DESCRIPTION

Position: Full-Stack Developer + DevOps Engineer

Department: Customer Support

Location:Chennai

Employment Type: Full-Time

Experience: Min 5 years of experience

Job Summary

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

Key Responsibilities

1. Full-Stack Development

* Develop responsive and scalable web applications using React.

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

* Integrate frontend applications with backend services and databases.

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

* Debug application issues and improve performance and security.

2. DevOps and Cloud Infrastructure

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

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

* Automate application builds, releases, and deployment workflows.

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

* Troubleshoot production issues and ensure application availability and reliability.

* Implement infrastructure automation and deployment best practices.

3. Collaboration and Ownership

* Collaborate with engineering, product, and QA teams.

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

* Identify opportunities to improve development workflows and deployment efficiency.

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

Required Skills

·       Strong hands-on experience with React.

·       Proficiency in Python and backend development.

·       Experience building and integrating REST APIs.

·       Practical experience with AWS and/or Microsoft Azure.

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

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

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

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

Good to Have

·       Experience with Docker and Kubernetes.

·       Infrastructure as Code tools such as Terraform.

·       Experience with databases such as PostgreSQL.

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

·       Experience with automated testing and production monitoring.

We are seeking a skilled Automation Test Engineer with strong hands-on experience in Python-based automation frameworks. The ideal candidate should have solid experience in designing, developing, and maintaining automation test suites for web and API applications, ensuring high product quality and test coverage.

Key Responsibilities

Design, develop, and maintain automation test scripts using Python.

Develop and execute test cases for functional, regression, API, and integration testing.

Build and enhance test automation frameworks (Selenium / PyTest / Robot Framework etc.).

Perform API testing using tools like Postman, RestAssured, or Python requests library.

Collaborate closely with developers, BAs, and DevOps teams to ensure continuous integration and quality delivery.

Analyze test results, log defects, and track them to closure.

Participate in sprint planning, daily standups, and release execution.

Contribute to improving QA processes, tools, and standards.

Required Skills & Experience

3–4 years of experience in Automation Testing.

Strong programming skills in Python.

Hands-on experience with Selenium WebDriver.

Experience with automation frameworks like PyTest / Robot Framework / Behave.

Good understanding of API testing and automation (REST/JSON).

Experience working with CI/CD pipelines (GitLab CI, Jenkins, Azure DevOps, etc.).

Knowledge of version control (Git).

Familiarity with Agile development methodologies.

Strong debugging, analytical, and communication skills.

Nice to Have

Experience with performance testing tools (e.g., JMeter, Locust).

Working knowledge of Docker or cloud platforms (AWS/Azure/GCP).

Exposure to Mobile Application automation (Appium).

ISTQB Certification or equivalent is a plus.

Education

Bachelor’s degree in Computer Science, Engineering, or equivalent related field.

Full Stack Developer (SaaS Integrations)

1-2 years of experience

Role: Build and maintain integrations between SaaS applications using REST APIs, webhooks, SDKs, and Workato. You’ll turn customer requirements into working integrations and build supporting React.js components when needed.

Responsibilities:

• Develop Python backend services and integration scripts
• Build and maintain Workato recipes and automation workflows
• Handle authentication (OAuth 2.0, JWT, API keys) and data formats (JSON, CSV, XML)
• Map and transform data between systems, and reconcile it to confirm it moved accurately
• Troubleshoot API, authentication, and mapping failures
• Add error handling, retries, logging, and monitoring
• Flag API limitations and technical risks early
• Document integrations, join code reviews, and work with Tech Leads, QA, and stakeholders

Required skills:

• Python, with FastAPI, Flask, or Django
• Strong REST API knowledge: HTTP methods, status codes, headers, pagination, rate limits, webhooks
• Postman or similar tools
• React.js and JavaScript
• Basic SQL (PostgreSQL or MySQL)
• Git

Good to have: Workato experience (not mandatory if you’re willing to learn). Experience with MuleSoft, Boomi, Zapier, Make, or n8n also counts.

Competencies: Problem-solving, independent API troubleshooting, clear communication, ownership, and a strong learning attitude.

Qualification: B.E / B.Tech / MCA / B.Sc / M.Sc in Computer Science, IT, or a related field.

Growth: The role can lead to Integration Engineer or SaaS Implementation Engineer.

• Business: Immerse in operations until you think like an insider.Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.
• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.
• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.
• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.
• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.
• Scale:  Design  complex  multi-component systems  end-to-end,  evaluate architectural options for large initiatives across teams, guide technical decisions or your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

What You Bring

• Bachelor’s degree in computer science, Software Engineering, or related field with 7+ years of relevant professional experience.
• Deep production experience with Python and JavaScript/TypeScript across backend and frontend, with demonstrated ability to work comfortably across the full stack.
• Strong experience with modern frontend frameworks (such as Next.js or React) and backend API development.
• Extensive experience with cloud platforms (AWS preferred; Azure or GCP also valued), including infrastructure-as-code tools (such as CloudFormation or Terraform).
• Deep Working knowledge of multiple database paradigms, including relational databases (such as PostgreSQL), document databases, and key-value stores (such as Redis), with the ability to select the right storage technology for each problem.
• Strong experience with CI/CD pipelines (such as GitHub Actions), containerisation, and production deployment strategies.
• Demonstrable fluency with AI coding tools (such as Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on AI-augmented development practices.
• Hands-on experience architecting production generative AI applications (LLM integrations, vector databases, RAG systems, evaluation pipelines) is essential.
• Experience leading technical initiatives across multiple teams, mentoring engineers, and establishing engineering practices is required.
• Experience navigating ambiguous problem spaces, working directly with business stakeholders and end users, and shipping working solutions rapidly is required.
• Experience in an embedded, forward-deployed, or consulting-style engineering model is a strong plus.

• Must have exceptional communication skills and demonstrated ability to influence at senior levels. This role requires comfort leading across ambiguous environments, building trust-based relationships with commercial stakeholders at all levels, developing junior and mid-level engineers, and making strategic decisions that balance delivery speed with architectural integrity. You will shape engineering practices across your area and be expected to lead multi-team initiatives.

About the company

We are an AI diffusion company. We partner with midmarket companies in asset-heavy, regulated industries to co-build deeply industry-specific agentic and machine learning solutions, which then get diffused across the industry through revenue-share and equity-linked models.

Our Past

We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Team

Our team of 20+ employees consists of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH. Our team includes academicians, IBM Research Fellows, and former founders. This role focuses on healthcare and RCM, working alongside our AI/ML engineers, data scientists and domain specialists.

Key Responsibilities

• Lead product ideation, solution design, and technical strategy from concept to execution.
• Drive end-to-end product development, translating business needs into scalable technical solutions.
• Build and lead engineering teams to deliver high-impact products.
• Design and develop robust data systems to process and structure unorganized data from ERP/CRM platforms.
• Leverage AI and domain expertise in healthcare/RCM to build innovative solutions.
• Drive technology-led growth, with a focus on product scalability and business outcomes.

\Required Skills & Experience

• 15–20 years of experience in technology leadership, preferably as a CTO or senior technology leader.
• Proven experience building and/ or exiting startups.
• Strong expertise in data engineering, complex data systems, and unstructured data processing.
• Experience with AI-driven products, preferably in healthcare or Revenue Cycle Management (RCM).
• Strong product thinking, system design, architecture, and end-to-end execution capabilities.
• Ability to translate business requirements into technical roadmaps and scalable products.

About the company

We are an AI diffusion company. We partner with midmarket companies in asset-heavy, regulated industries to co-build deeply industry-specific agentic and machine learning solutions, which then get diffused across the industry through revenue-share and equity-linked models.

Our Past

We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Team

Our team of 20+ employees consists of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH. Our team includes academicians, IBM Research Fellows, and former founders. This role focuses on healthcare and RCM, working alongside our AI/ML engineers, data scientists and domain specialists.

Work you’ll do

We are looking for an experienced Project Manager cum Lead to own product decisions and project delivery for our healthcare AI pod. You will lead engineers building AI agents, automations and data workflows for healthcare revenue cycle management, while remaining hands-on in solution design, code reviews, prototyping and technical problem-solving.

You will work directly with client CXOs, billing leaders and operations teams to identify problems, agree measurable outcomes and decide what to build first.

You will translate those decisions into a practical roadmap, manage delivery and remain accountable for adoption and performance in production.

The work includes payer-portal automation, claim status and document retrieval, voice-based payer follow-up, analysis of revenue-cycle bottlenecks and AI-assisted practice insights.

Responsibilities

• Lead the healthcare AI pod, setting technical direction, reviewing engineering work, mentoring engineers and resolving delivery blockers.
• Work with client CXOs and operational leaders to define business problems, establish baselines and agree measurable outcomes.
• Own product discovery and prioritization, translating user needs into a roadmap, requirements and clear acceptance criteria.
• Make solution and build-versus-buy decisions, choosing between APIs, rules-based automation, RPA and AI based on reliability, cost and business value.
• Stay hands-on through architecture and code reviews, targeted prototypes and troubleshooting of complex production issues.
• Own project scope, estimates, milestones, resources and dependencies. Manage changes and explain their impact on cost, timelines and outcomes.
• Lead executive reviews, communicate progress and risks clearly, and secure decisions needed to keep delivery moving.
• Establish evaluation, security and release criteria, including monitoring, exception handling and human escalation.
• Work with billing and operations teams through rollout, adoption and ongoing improvement, measuring results against agreed baselines.
• Identify capabilities that can be reused across engagements and incorporate them into the product roadmap.

Who you are

You are an engineering leader who remains close to the code and takes responsibility for what the team delivers. You can investigate a technical issue with an engineer, make a product prioritization decision with an operations leader and explain the trade-offs to a client executive. You bring structure to unclear problems, make decisions with incomplete information and know when to challenge a request or change direction. You balance delivery speed with reliability, security and maintainability, and support your decisions with evidence. You have led teams through production delivery, handled difficult stakeholder conversations and stayed accountable for adoption and business outcomes after launch.

Skills & Requirements

Must have

• At least 7 years of relevant engineering and technical leadership experience, with recent hands-on involvement in solution design, code reviews, prototyping and production troubleshooting.
• Experience leading engineering teams delivering AI or automation systems into live operations, with accountability for technical quality, delivery and business outcomes.
• Experience deploying and supporting LLM-based applications or AI agents, including retrieval, tool calling, evaluation, error handling and human escalation.
• Strong Python and SQL skills, with the ability to review code, assess API and data integrations, and guide browser or workflow automation using tools such as Playwright, Selenium or UiPath.
• Experience delivering applications on at least one cloud platform—AWS, Azure or GCP—with an understanding of containers, deployment pipelines, monitoring and operating costs.
• Experience making product decisions, including discovering user needs, prioritizing workflows, defining acceptance criteria and balancing client-specific requirements against reusable capabilities.
• Experience managing client engagements from discovery through deployment and adoption, including scope, estimates, resource planning, dependencies and recovery of projects that have gone off track.
• Experience working directly with CXOs and senior operational leaders to agree outcomes, explain trade-offs, resolve conflicting priorities and manage expectations.
• Experience delivering healthcare or RCM solutions, with practical understanding of billing workflows, data quality issues and operational exceptions.
• Experience handling sensitive healthcare data and incorporating access controls, secure logging and approved data-handling practices into delivery.
• Ability to demonstrate your own technical contribution, a significant product decision and measurable outcomes from an engagement you led.

Preferred experience

• Experience delivering solutions for US healthcare providers or RCM companies, including working with US billing teams and payer workflows.
• Experience with practice-management or EHR integrations, payer portals, EOB/ERA data or analysis of revenue-cycle performance.
• Experience turning capabilities developed for individual clients into reusable products.
• Experience hiring and developing engineering teams.
• Experience managing delivery budgets, engagement profitability or a practice P&L.

Working with us

We are a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundaryless.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

About the company

We are an AI diffusion company. We partner with midmarket companies in asset-heavy, regulated industries to co-build deeply industry-specific agentic and machine learning solutions, which then get diffused across the industry through revenue-share and equity-linked models.

Our Past

We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Team

Our team of 20+ employees consists of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH. Our team includes academicians, IBM Research Fellows, and former founders. This role focuses on healthcare and RCM, working alongside our AI/ML engineers, data scientists and domain specialists.

Work you’ll do

We are looking for an experienced AI engineer with hands-on experience in healthcare and revenue cycle management (RCM). You will build and deploy AI agents, automations and data workflows for healthcare operations, with a focus on the US market.

The work includes payer-portal automation for claim status and EOB retrieval, voice agents for payer follow-up, analysis of claim journeys and bottlenecks, and AI-assisted insights into practice performance. You will work directly with billing and operations teams, owning delivery from understanding the workflow through deployment, evaluation and ongoing improvement.

Responsibilities

• Own AI agent and automation workflows from requirements through design, development, deployment and monitoring.
• Build agents that work across payer portals, healthcare documents, practice-management systems, EHR-connected tools and voice channels.
• Turn fragmented healthcare data into validated, structured inputs for automation and analysis.
• Work directly with billing and operations teams to understand workflows, resolve exceptions and improve systems based on user feedback.
• Evaluate workflow accuracy and completion rates using representative test sets. Monitor failures and operating costs, and implement retries, exception queues and human escalation
• Implement approved privacy and security controls for sensitive healthcare data, including access restrictions, audit trails and safeguards against exposing patient information in logs or model inputs.
• Diagnose and improve failures across data ingestion, integrations, agent execution and user-facing workflows.
• Measure operational outcomes, such as time saved, reduced manual effort and faster turnaround, with the teams using the systems.

Who you are

You are a passionate and results-oriented engineer who is driven by the potential of AI/ML to revolutionize processes, enhance products, and ultimately improve user experiences. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration.

You are adept at working with real-world, often imperfect data, and have a proven ability to develop, refine, and deploy AI/ML models into production in a cost-effective and scalable manner. You are excited by the prospect of making US healthcare operations faster and more reliable, for the people who run them and the patients they serve.

Skills & Requirements

Must have

• At least 2 years of professional AI engineering experience, including deploying and supporting systems used in real operations. Internships and academic projects alone do not meet this requirement.
• Experience deploying and supporting an LLM-based application or AI agent in production, using capabilities such as retrieval-augmented generation (RAG), tool calling or multi-step workflows.
• Preferably has hands-on experience building AI or automation solutions for healthcare RCM workflows, such as claim status checks, accounts receivable follow-up, denial management, payment posting or payer interactions.
• Preferably has practical understanding of how billing teams work, how claims move through the revenue cycle, and how incomplete data and exceptions affect execution.
• Ability to explain your engineering contribution, how the system was evaluated, what failed and how you addressed it.
• Strong production Python and SQL skills, experience integrating APIs, and working knowledge of JavaScript/TypeScript for browser automation or application integration.
• Experience automating workflows across APIs, browsers or user interfaces, using tools such as Playwright, Selenium or UiPath, with error handling and human escalation where needed.
• Experience deploying and monitoring applications on at least one cloud platform—AWS, Azure or GCP—using containers, version control and automated testing.
• Experience handling imperfect inputs such as scanned PDFs, inconsistent portal layouts or incomplete records, with validation and exception handling.
• Experience working directly with billing or operations teams, improving systems based on their feedback, and demonstrating outcomes such as time saved, claims processed or reduced turnaround time.
• Experience handling sensitive healthcare data through appropriate access controls, secure logging and approved data-handling practices.

Preferred experience

• Experience delivering solutions for US healthcare providers, RCM companies or payer-facing operations, including working with US billing teams and payer workflows.
• Experience with practice-management or EHR integrations, payer portals, explanation of benefits (EOB) documents or electronic remittance advice (ERA) data.
• Experience analyzing claim histories, revenue-cycle bottlenecks or practice performance.
• Eperience building voice agents or integrating speech-to-text and text-to-speech services is a plus.
• Familiarity with Model Context Protocol (MCP) integrations.
• Experience with Kubernetes, serverless applications or event-driven architectures.

Working with us

We are a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundaryless.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

GCP Data engineer (L1 virtual, L2 or DM F2F )

GCP + Python + Pyspark + sql + Lead

8+yrs

Bangalore/hyderabad location ( relocation profiles also from Chennai pune location)

immediate to 15days

# Urgent Hiring – Software Testing Professionals | 15 Openings

**Job Location:** Chennai | Bangalore | Hyderabad

**Experience:** 5+ Years (Mandatory)

**Notice Period:** Immediate Joiners to 30 Days

**Interview Mode:** 1 Mandatory Face-to-Face Round

**Total Openings:** 15

## Open Positions

We are actively looking for experienced professionals in the following technologies:

**1. Mobile Automation Testing**

- Experience in mobile application testing

- Strong knowledge of Appium, Android/iOS testing and automation frameworks

**2. SDET (Software Development Engineer in Test)**

- Strong programming and automation testing skills

- Experience in test framework design, API testing and CI/CD integration

**3. Playwright Automation Testing**

- Hands-on experience with Playwright using JavaScript/TypeScript

- Strong knowledge of UI automation and framework development

**4. Cypress Automation Testing**

- Experience in Cypress automation with JavaScript

- Knowledge of web application testing, API testing and CI/CD

**5. Python + Robot Framework**

- Strong Python programming skills

- Hands-on experience in Robot Framework automation

- Experience in test scripting, execution and debugging

## Mandatory Eligibility Criteria

- Minimum 5 years of relevant IT experience

- Notice period must be Immediate to 30 days

- Willingness to attend one face-to-face interview

- Preferred locations: Chennai, Bangalore and Hyderabad

## How to Apply

Interested candidates can apply with their updated resumes.

**Please share the following details:**

- Full Name

- Total Experience

- Relevant Experience

- Current CTC

- Expected CTC

- Notice Period

- Current Location

- Preferred Location

- Updated Resume

**Immediate joiners and candidates serving notice period are encouraged to apply.**

Apply now or DM for more information!

** #UrgentHiring #SDET #Playwright #Cypress #MobileTesting #PythonAutomation #RobotFramework #AutomationTesting #SoftwareTesting #ITJobs**

Job Summary 

A Senior Full Stack Observability Engineer – AI Ops & Autonomous Observability to handle / manage , Design and implement enterprise-wide observability across applications, infrastructure, cloud, network, database and digital services. Lead adoption of Datadog, AI Ops, SRE and Autonomous Observability. Build agentic AI and multi-agent orchestration solutions that automate operational workflows and enable autonomous operations.

Technical Skills

• Datadog (Expert)
• OpenTelemetry
• Distributed Tracing
• Application Performance Monitoring
• AI Ops
• LangGraph/CrewAI/AutoGen/Semantic Kernel
• Python
• Azure, AWS
• Kubernetes
• ServiceNow Integration
• 
  

Enterprise Observability Strategy

• Define observability standards, governance and operating model.
• Create monitoring roadmaps, service health frameworks, business service dashboards and dependency mapping.
• 
  

Full Stack Observability Scope

• Applications, APIs, microservices and user journeys.
• Windows, Linux, VMware, storage and infrastructure platforms.
• Azure and AWS.
• Network monitoring, SQL and NoSQL databases.
• 
  

Datadog Platform

• Deploy and optimize Datadog solutions.
• Build dashboards, monitors, alerts and observability-as-code frameworks.
• Integrate Datadog with ServiceNow, Teams and enterprise tooling.
• New Relic exposure is optional.
• 
  

AI Ops Responsibilities

• Event correlation and noise reduction.
• Predictive analytics and anomaly detection.
• Incident intelligence and root cause analytics.
• Proactive issue identification and MTTR reduction

Job Title: Senior Fullstack Engineer – ServiceNow

Company: Cloud Sara Technologies Pvt. Ltd.

Experience: 8–12 Years

Location: Bangalore, Hyderabad, Chennai, Mumbai, Ahmedabad

Work Mode: Hybrid – 2 days work from office mandatory

Employment Type: Contract – 6 Months

Notice Period: Immediate Joiners Only

Shift: 1:00 PM – 11:00 PM IST

Interview Process: L1 in-person interview is mandatory

Job Description

We are looking for an experienced Senior Fullstack Engineer with strong hands-on ServiceNow development expertise, QA automation capabilities, and general full-stack development skills.

The candidate will handle ServiceNow integration defects, production troubleshooting, automated testing, release management, and internal application maintenance.

Key Responsibilities

• Handle L2 support tickets, escalations, and ServiceNow integration issues.
• Resolve L3 defects involving ServiceNow ITSM/CMDB, Flow Designer, Scripted REST APIs, Business Rules, GlideRecord, and server-side scripting.
• Perform root-cause analysis for production incidents and integration issues.
• Review code and contribute to full-stack development and maintenance.
• Develop and maintain automated tests using Python and Playwright.
• Validate APIs using Postman and data using SQL.
• Manage test cases in Qase and integrate automated tests into CI/CD pipelines.
• Maintain release documentation, Update Sets, XML exports, and release processes.
• Support customer technical escalations and distributed-system debugging.
• Use AI-assisted development and QA tools to improve productivity.

Mandatory Skills

• 6+ years of hands-on ServiceNow development experience.
• ServiceNow ITSM, CMDB, Flow Designer, Scripted REST APIs, Business Rules, GlideRecord, and server-side scripting.
• OAuth2-based integrations and troubleshooting across systems.
• Python and Playwright test automation.
• API testing using Postman and SQL validation.
• React, TypeScript, and API-driven backend development.
• GitHub, CI/CD, and ServiceNow deployment tools.
• Experience with AI-assisted QA tools such as Claude or Codex.

Preferred Skills

• ServiceNow CSA or CIS certifications.
• GitHub Actions and release management experience.
• Semantic versioning and changelog management.
• Customer-facing production support and on-call experience.

Important Conditions

• Immediate joiners only.
• Hybrid work with 2 days in office mandatory.
• Must be available for the 1 PM–11 PM IST shift.
• Must attend the L1 interview in person.
• Six-month contract engagement.

Key Skills:

• Agentic AI / AI Agents

• Python or Java

• LLMs & Generative AI

• RAG & Vector Databases

• LangChain / LangGraph / AutoGen / CrewAI

• REST APIs & Microservices

• Prompt Engineering

• AI Workflow Automation

Roles & Responsibilities:

• Design and develop AI agents and agentic workflows

• Build scalable backend services using Python or Java

• Integrate LLMs, APIs, tools, and external systems into AI workflows

• Develop RAG-based solutions and intelligent automation

• Design multi-step AI workflows with tool/function calling

• Evaluate, monitor, and optimize AI agent performance

• Collaborate with engineering and product teams to deliver production-ready AI solutions

Strong Backend Software Engineer Profile with strong Core Java expertise

2

Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

3

Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

4

Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

5

Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

6

Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

7

Mandatory (Tech skill 3): Must have microservices experience.

8

Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

9

Mandatory (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.

10

Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.

11

Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

12

Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

13

Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

14

Preferred (Backend): Hands-on Python experience is a plus.

Responsibilities and JD

Job Description: We are looking for a Senior Developer with strong expertise in PySpark, Databricks, and Snowflake to build scalable data engineering solutions and enterprise data platforms.

Key Responsibilities:

1. Design, develop, and maintain ETL/ELT pipelines using PySpark, Databricks, and Snowflake.
2. Develop batch and real-time data processing solutions for structured and semi-structured data.
3. Build and optimize Databricks notebooks, workflows, and Delta Lake solutions.
4. Design and implement Snowflake databases, schemas, views, stored procedures, tasks, and streams.
5. Develop scalable data models, data marts, and data warehouse solutions.
6. Optimize PySpark jobs, Databricks workloads, and Snowflake queries for performance and cost efficiency.
7. Implement data quality, validation, governance, and security controls.
8. Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions.
9. Manage source control and CI/CD deployments using Git and Azure DevOps.
10. Troubleshoot production issues, perform root cause analysis, and ensure pipeline reliability.
11. Mentor junior team members and participate in code reviews and technical design discussions.

Required Skills: PySpark, Databricks, Snowflake, Python, SQL.

Experience: 5+ years of Data Engineering experience with strong hands-on expertise in PySpark, Databricks, and Snowflake.

• 6+ years of professional full-stack software engineering experience, with demonstrated ownership of production systems end-to-end (not just feature contribution within a large team).
• Backend: Strong proficiency in Python (FastAPI or Flask) — this is BuildTwin's primary backend language, used across the AI pipeline and application layer.
• Frontend: Strong proficiency in React and TypeScript, including building data-dense, interactive interfaces (dashboards, review workflows, file viewers) — not just CRUD forms.
• Database: Deep, hands-on experience with PostgreSQL — schema design, query optimization, indexing strategy, and multi-tenant data modeling.
• API design: Proven experience designing clean, versioned REST APIs, particularly ones serving as the integration layer between a backend/AI system and a frontend or third-party consumer.
• Cloud & DevOps: Production experience with AWS or Azure (compute, storage, queuing/messaging services), Docker, and CI/CD pipelines.
• Asynchronous & batch processing: Real experience with job queues (Celery, SQS, or equivalent) and designing systems that process work in parallel with proper failure isolation.
• Multi-tenant architecture: Direct experience building and securing systems that serve multiple isolated clients/tenants from shared infrastructure.

Job Description – Senior GCP Data Engineer

Position: Senior GCP Data Engineer

Experience: 8+ Years

Budget: Up to 30 LPA

Location: Bangalore / Hyderabad

Relocation: Candidates from Chennai / Pune willing to relocate are also welcome.

Notice Period: Immediate to 15 Days

Interview Process:

• Round 1: Virtual Interview
• Round 2 / DM Round: Face-to-Face Interview

Required Skills

• Strong hands-on experience in GCP Data Engineering.
• Good programming experience in Python.
• Strong experience with PySpark / Apache Spark.
• Proficiency in SQL and database concepts.
• Experience in developing and maintaining data pipelines.
• Good understanding of data processing, transformation, and integration.
• Experience in handling large-scale data processing.
• Strong problem-solving and debugging skills.
• Good understanding of cloud-based data engineering concepts.
• Experience in optimizing data pipelines for performance and scalability.

Preferred Skills

• Previous experience in a Lead Data Engineer role.
• Experience in technical leadership, mentoring, and guiding team members.
• Ability to collaborate with cross-functional teams and deliver data engineering solutions.

Roles & Responsibilities

• Design, develop, and maintain scalable data pipelines using GCP.
• Develop data processing and transformation workflows using Python and PySpark.
• Write and optimize SQL queries for efficient data processing.
• Build and maintain reliable data engineering solutions.
• Troubleshoot data pipeline issues and optimize performance.
• Ensure data quality, reliability, and scalability.
• Collaborate with stakeholders and team members to deliver project requirements.
• Lead and guide team members where applicable.
• Important: Candidates must have strong Senior Data Engineer experience. Lead experience is preferred but not mandatory.

🚀 WE’RE HIRING | FULL STACK DEVELOPER – PHP/PYTHON & REACT.JS

📍 Location: Chennai, Tamil Nadu – On-site

💼 Experience: 1–4 Years

🕒 Employment Type: Full-Time

🔄 Shift: Rotational Shift

💰 Salary: Competitive, based on experience

🔹 About the Role

We are looking for a skilled Full Stack Developer with hands-on experience in PHP and/or Python, along with strong frontend development skills in React.js.

The selected candidate will work on scalable web applications, CRM platforms, dashboards, REST APIs, automation tools, and workflow-driven applications.

🔹 Key Responsibilities

• Develop and maintain web applications using PHP (Core PHP, Laravel) and/or Python (Django, FastAPI)

• Build scalable RESTful APIs, microservices, and backend services

• Develop responsive and reusable user interfaces using React.js

• Work with JavaScript (ES6+), HTML5, CSS3, jQuery, AJAX, and Bootstrap 5

• Design and optimize databases using MySQL and/or PostgreSQL

• Implement authentication, authorization, and RBAC

• Integrate third-party APIs and internal services using REST/JSON

• Develop automation scripts, background tasks, scheduled jobs, and workflows

• Debug, test, optimize, and maintain application performance

• Deploy and maintain applications on Linux and cloud platforms such as AWS/DigitalOcean

• Use Git and follow code review and Agile development practices

• Collaborate with cross-functional teams to deliver technical solutions

🔹 Required Skills

Backend:

• PHP – Core PHP, Laravel

• Python – Django, Django REST Framework and/or FastAPI

• REST API & JSON

• Authentication, authorization & API integration

• MySQL and/or PostgreSQL

• Database design & query optimization

Frontend:

• React.js

• JavaScript (ES6+)

• HTML5 & CSS3

• jQuery & AJAX

• Bootstrap 5

• React components, Hooks & state management

Development & Tools:

• Linux environments

• Cron jobs & background workers

• Git / Version Control

• Strong debugging and problem-solving skills

🔹 Nice to Have

• Redux / Context API

• JWT / OAuth & API security

• Celery / Redis / Message Queues

• Docker & CI/CD

• Microservices architecture

• AWS / DigitalOcean

• CRM, dashboards, reporting & automation

• AI/ML integrations

• Application performance & security optimization

🎓 Qualifications

• Bachelor’s degree in Computer Science, IT, or a related field

• 1–4 years of professional Full Stack Development experience

• Candidates with strong experience in PHP/Laravel OR Python/Django/FastAPI, along with React.js, are encouraged to apply.

Strong Backend Software Engineer Profile with strong Core Java expertise

2

Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

3

Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

4

Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

5

Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

6

Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

7

Mandatory (Tech skill 3): Must have microservices experience.

8

Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

9

Mandatory (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.

10

Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.

11

Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

12

Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

13

Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

14

Preferred (Backend): Hands-on Python experience is a plus.

Job Description:

Head of Engineering — Chennai (Onsite)About the Role

Job Details

Position: Tech Lead

Department: Engineering

Experience: 6–8 Years

Employment Type: Full-time

Location: Chennai, On-site

Salary: Up to ₹24,00,000 per annum

About the Role

We’re looking for a Tech Lead to take end-to-end ownership of engineering for a fast-moving product. You’ll be responsible for architecture, execution, product quality, engineering culture, and team growth.

This is a hands-on leadership role. You’ll spend approximately 60% of your time coding and reviewing code and 40% on product, people, and engineering leadership.

What You’ll Do

• Own engineering end to end, including architecture, development, delivery, quality, and hiring.
• Stay hands-on with the codebase, spending roughly 60% of your time writing and reviewing code.
• Establish and continuously improve the engineering workflow: how the team plans, builds, reviews, ships, and measures.
• Improve development velocity and reduce cycle time without compromising product quality.
• Drive AI-assisted software development across the engineering team using Claude Code and similar agentic coding tools as a core productivity lever.
• Establish practical systems and workflows that demonstrate measurable improvements in engineering throughput.
• Work closely with the founders on product strategy, technical trade-offs, priorities, and what to build next.
• Build, mentor, and scale a high-performing engineering team.

What We’re Looking For

• 6–8 years of professional software engineering experience.
• Experience taking at least one product from zero to launch.
• Experience building and scaling at least one product to a large user base.
• Strong hands-on expertise in Python and Node.js.
• Comfortable working with React Native / Expo.
• Strong understanding of PostgreSQL and database fundamentals.
• Previous experience leading a small engineering team.
• A leadership style based on ownership and technical example, rather than simply assigning tickets.
• Daily experience with agentic coding tools, with the ability to demonstrate how they have improved development speed and team throughput.
• Strong product instincts and the ability to form opinions about user problems, not just technical implementation.
• Based in Chennai or willing to relocate.

How We Work

We operate with high pace, high ownership, and short feedback loops.

You’ll be expected to get close to the product, understand the users, make decisions quickly, and ship within your first week.

If you enjoy building products from the ground up, staying close to the code, and using AI to fundamentally improve how engineering teams work, we’d love to hear from you.

How to Apply

Join Aura Gold and be part of building a high-performing team from the ground up!

Ability to commute/relocate:

• Chennai, Tamil Nadu (Chennai, Chennai District): Reliably commute or planning to relocate before starting work (Preferred)

Education:

• Bachelor's (Preferred)

Language:

• English, Tamil , Hindi (Required)

Location:

• Chennai, Tamil Nadu (Chennai, Chennai District) (Required)

Work Location: In person

Greetings from zealous services!

Job Title: Full Stack Developer PHP / Python & React.js

Location: Chennai, Tamil Nadu (On-site)

Shift: Rotational Shift

Experience: 1 - 4 Years

Employment Type: Full-Time

Salary: Competitive, based on experience

About the Role

We are looking for a skilled Full Stack Developer with experience in PHP and/or Python, along with modern front-end development using React.js, to join our development team.

The role involves building and maintaining scalable web applications, CRM platforms, dashboards, REST APIs, automation tools, and workflow-driven applications. The ideal candidate should have strong backend development skills and a good understanding of modern frontend technologies.

Key Responsibilities

• Design, develop, and maintain web applications using PHP (Core PHP, Laravel) and/or Python (Django, FastAPI).
• Develop scalable and high-performance RESTful APIs, microservices, and backend services.
• Build modern, reusable, responsive, and interactive user interfaces using React.js. • Work with HTML5, CSS3, JavaScript (ES6+), jQuery, AJAX, and Bootstrap 5. • Design, manage, and optimize databases using MySQL and/or PostgreSQL. • Implement authentication, authorization, and role-based access control (RBAC). • Integrate third-party APIs and internal services using REST/JSON. • Develop automation scripts, background tasks, scheduled jobs, and workflow automation.
• Debug, test, optimize, and maintain application performance and reliability. • Deploy and maintain applications on Linux servers and cloud platforms such as AWS and DigitalOcean.
• Work with Git, participate in code reviews, and follow Agile development practices. • Collaborate with developers and other team members to design and implement technical solutions.

Required Skills

Backend Development

• Strong hands-on experience with PHP and/or Python.
• PHP experience with Core PHP and Laravel.
• Python experience with Django, Django REST Framework, and/or FastAPI. • Strong understanding of REST API development and JSON.
• Experience with authentication, authorization, and API integration. • Strong knowledge of MySQL and/or PostgreSQL, including database design and query optimization.

Frontend Development

• Proficiency in React.js.
• Good knowledge of JavaScript (ES6+), HTML5, CSS3, jQuery, AJAX, and Bootstrap 5.
• Ability to develop responsive and reusable UI components.
• Familiarity with React components, hooks, and state management. Server & Development Tools
• Familiarity with Linux environments, cron jobs, and background workers. • Experience using Git and version control.
• Strong debugging, troubleshooting, analytical, and problem-solving skills. Nice-to-Have Skills
• Experience with Redux or Context API.
• Knowledge of JWT, OAuth, and API security.
• Experience with Celery, Redis, message queues, or background processing. • Exposure to CRM systems, dashboards, reporting tools, automation, or data pipelines.
• Familiarity with Docker, CI/CD pipelines, and microservices architecture. • Experience with AWS or DigitalOcean cloud deployment.
• Exposure to AI/ML integrations, analytics scripts, or automation platforms. • Understanding of application performance optimization and security.

Qualifications

• Bachelors degree in Computer Science, Information Technology, or a related field.
• 1 - 4 years of professional experience in Full Stack Development. • Candidates with strong experience in either PHP/Laravel or

Python/Django/FastAPI, along with frontend development skills, are encouraged to apply.

What We Offer

• Opportunity to work on real-world CRM, analytics, automation, and web application projects.
• Exposure to modern technologies including PHP, Laravel, Python, Django, FastAPI, React.js, REST APIs, and cloud platforms.
• Stable on-site rotational shift role with long-term career growth opportunities. • Collaborative and technically driven development environment.
• Opportunity to work on scalable applications and automation-driven platforms.

Sr. Technology Architect

Experience Range: 12–15+ years of IT experience, including 3–5+ years in leadership / people management roles.

Location: Chennai, Hyderabad, Bangalore

Qualification: B. Tech /B.E in computer science or equivalent

Minimum 10+ years of experience in Advanced Java

At least 2+ years of experience for the following areas:

• Lead and mentor full-stack development teams across multiple projects and workstreams.
• Define technical architecture, coding standards, and development best practices.
• Drive end-to-end delivery of enterprise applications using Agile methodologies.
• Oversee application design, development, testing, deployment, and production support.
• Ensure adherence to security, performance, quality, and compliance standards.
• Collaborate with clients, product owners, architects, and cross-functional teams.
• Manage resource planning, risk mitigation, technical reviews, and stakeholder communication.
• Promote DevOps, CI/CD, and automation practices to improve delivery efficiency

Must Haves-

• Strong experience in Java Full Stack Development.
• Expertise in Spring Boot and Microservices Architecture.
• Proficiency in Python, Shell Scripting, and backend development.
• Hands-on experience with SQL, Oracle, and PostgreSQL databases.
• Front-end expertise in React, Angular, HTML5, CSS3, Bootstrap, and JSP.
• Experience with Kafka or similar event-driven messaging platforms.
• Strong understanding of API Design, REST Services, and Swagger/OpenAPI.
• Experience implementing security frameworks including OAuth 2.0.
• Hands-on expertise with Jenkins, CI/CD pipelines, and DevOps practices.
• Experience with code quality and security tools such as SonarQube and Fortify.
• Proven people management, stakeholder management, and delivery leadership experience.
• Experience working in Agile/Scrum environments.

Good to Haves-

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes/OpenShift.
• Experience with performance tuning, observability, and application monitoring tools.
• Telecom, OSS/BSS, or enterprise digital transformation domain experience.
• SAFe Agile, PMP, Scrum Master, or cloud certifications.
• Exposure to AI-assisted development tools and engineering productivity platforms.

Experience: 5+ Years

Employment Type: Full-Time

Role Overview

We are looking for an experienced GCP Data Engineer with 5+ years of experience in data engineering and strong hands-on expertise in Google BigQuery, Google Cloud Storage (GCS), Airflow/Cloud Composer, Python, and Vertex AI. The candidate should be capable of designing, developing, and maintaining scalable data pipelines and cloud-based data solutions on Google Cloud Platform.

Key Skills – Mandatory

• BigQuery – Strong hands-on experience in data warehousing, SQL, optimization, and performance tuning.
• Google Cloud Storage (GCS) – Experience with data storage, file management, and integration with data pipelines.
• Airflow / Cloud Composer – Experience in developing, scheduling, monitoring, and managing data workflows.
• Python – Strong programming skills for data engineering, ETL/ELT development, automation, and pipeline implementation.
• Vertex AI – Experience working with ML/AI workflows, model integration, or data pipelines supporting AI/ML solutions.

Good to Have / Added Advantage

• Dataproc – Experience with distributed data processing and Spark-based workloads.
• Cloud Data Fusion – Experience in building and managing data integration pipelines.
• Cloud Run – Understanding of deploying and running containerized applications/services on GCP.
• Experience with ETL/ELT processes and data pipeline development.
• Knowledge of GCP data architecture and cloud-native services.
• Experience in data quality, validation, monitoring, and troubleshooting.

Responsibilities

• Design, develop, and maintain scalable GCP-based data pipelines.
• Build and optimize data solutions using BigQuery and Cloud Storage.
• Develop and manage workflows using Airflow / Cloud Composer.
• Write efficient and reusable Python code for data processing and automation.
• Support Vertex AI integrations and AI/ML data workflows.
• Monitor pipeline performance and troubleshoot data processing issues.
• Work with cross-functional teams to understand data requirements and deliver reliable solutions.
• Implement best practices for data security, quality, scalability, and performance.

You must have :

• 5+ years of overall experience in Data Engineering.
• Strong hands-on experience with BigQuery, GCS, Airflow/Cloud Composer, Python, and Vertex AI.
• Strong understanding of data engineering concepts, ETL/ELT, data pipelines, and cloud technologies.
• Dataproc, Data Fusion, and Cloud Run experience will be an added advantage.

Senior Software Engineer (Full Stack)

Location: Bangalore / Chennai / Pune / Hyderabad

Experience: 7+ Years

Notice Period: Immediate Joiner

Job Summary:

We are looking for a Senior Software Engineer with strong Full Stack development expertise in Streamlit, Python FastAPI, Databricks, and Databricks Apps. The ideal candidate will build data-driven web applications and deploy scalable solutions within the Databricks ecosystem.

Key Responsibilities:

• Design and develop interactive applications using Streamlit.
• Build scalable backend services and APIs using Python FastAPI.
• Develop and optimize data solutions on Databricks.
• Deploy and manage applications using Databricks Apps (Mandatory).
• Integrate front-end applications with backend APIs and data services.
• Collaborate with data engineers, data scientists, and business teams.
• Ensure application performance, reliability, and security.
• Participate in code reviews, testing, and release management activities.

Required Skills:

• 7+ years of software development experience.
• Strong experience with Python programming.
• Hands-on expertise in FastAPI.
• Experience developing applications using Streamlit.
• Strong Databricks development experience.
• Mandatory experience with Databricks Apps deployment and management.
• Experience with REST APIs and microservices architecture.
• Familiarity with Git, CI/CD pipelines, and Agile methodologies.

Preferred Skills:

• Experience with Azure Databricks.
• Knowledge of AI/ML application development.
• Understanding of cloud-native architectures.
• Front End: Streamlit
• Middleware: Python FastAPI
• Backend: Databricks
• Hosting Environment: Databricks Apps (Mandatory)

We are seeking Generative AI Developers with strong Python programming and AI/ML expertise to build, deploy, and optimize LLM-powered applications. The role involves developing RAG solutions, AI agents, and enterprise GenAI applications while collaborating with cross-functional teams.

Key Responsibilities

• Develop and enhance Generative AI applications using LLMs and AI frameworks.
• Build and optimize RAG pipelines, vector search, and AI-powered workflows.
• Design effective prompts and fine-tune models using techniques such as LoRA and QLoRA.
• Develop REST APIs and integrate AI capabilities into enterprise applications.
• Deploy, monitor, and maintain AI solutions in cloud and containerized environments.
• Ensure code quality through testing, debugging, documentation, and code reviews.
• Follow Responsible AI, security, and data governance practices.

Required Technical Skills

• Strong proficiency in Python, OOP, APIs, debugging, and software development best practices.
• Good understanding of Data Structures & Algorithms, complexity analysis, and problem-solving.
• Hands-on experience with LLMs, Prompt Engineering, RAG, AI Agents, and embeddings.
• Experience with LangChain, LangGraph, LlamaIndex, Hugging Face, or similar frameworks.
• Knowledge of vector databases, semantic/hybrid search, and retrieval architectures.
• Experience with PyTorch, TensorFlow, or Keras.
• Familiarity with Docker, Git, CI/CD, and cloud platforms (Azure/AWS/GCP).
• Understanding of AI governance, data privacy, and Responsible AI principles.

Preferred Skills

• Experience with Agentic AI frameworks (CrewAI, AutoGen, Semantic Kernel).
• Exposure to Azure AI Foundry, Databricks, or enterprise AI platforms.
• Knowledge of multimodal AI applications.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 5 years of software development experience, including AI/ML or Generative AI projects.
• Experience building and deploying production-grade AI solutions.

Assessment Focus Areas

Candidates will be evaluated on:

• Python coding and problem-solving
• Data Structures & Algorithms
• LLMs, RAG, and Agentic AI concepts
• API development and system design
• Cloud deployment and AI solution architecture

Greetings From NAM INFO Pvt

Performance Engineer III

Experience: 6–8 Years

Location: Siruseri – EB6 / Gitanjali Park – SEZ

Job Summary

We are looking for an experienced Performance Engineer to work on large-scale distributed systems and cloud platforms in a high-traffic e-commerce environment. The role involves performance testing, monitoring, troubleshooting, and tuning applications to improve scalability, reliability, and overall system performance.

Key Responsibilities

• Design and execute performance testing strategies including load, stress, and capacity testing.
• Use tools such as JMeter, Locust, or LoadRunner for performance testing.
• Automate performance tests as part of CI/CD pipelines.
• Analyze performance issues using thread dumps, heap dumps, and TCP dumps.
• Monitor applications using APM tools such as New Relic or Dynatrace.
• Use Splunk for log analysis, dashboards, queries, alerts, and root-cause analysis.
• Tune application servers such as Tomcat, Node.js, and Spring Boot.
• Analyze network performance using tools such as Wireshark, ExtraHop, and Riverbed.
• Monitor systems and proactively identify performance bottlenecks.
• Analyze browser performance using Lighthouse, Chrome DevTools, Catchpoint, and WebPageTest.
• Work closely with Developers, SRE, QA, and DevOps teams.
• Participate in code reviews and ensure performance best practices are followed.

Required Skills

• 6–8 years of experience in Performance Engineering / Performance Testing.
• Strong hands-on experience with JMeter is preferred.
• Experience with Splunk for log analysis and troubleshooting.
• Strong knowledge of APM tools such as New Relic or Dynatrace.
• Experience with performance test planning, execution, analysis, reporting, and defect tracking.
• Good understanding of microservices architecture.
• Experience with performance tuning of Tomcat, Node.js, and Spring Boot.
• Strong troubleshooting and root-cause analysis skills.
• Good understanding of CI/CD and performance test automation.

Good to Have

• Programming experience in Java, Python, or Groovy.
• Experience analyzing heap dumps, thread dumps, and TCP dumps.
• Knowledge of Wireshark or CloudShark.
• Experience with Fiddler and Chrome DevTools.
• Knowledge of Azure, AKS, or GCP.
• Certifications in Azure, Splunk, or New Relic.

Job Description:

Position: Lead / Senior Data Engineer

Location: Chennai

Shift: US Eastern Time ( 5:00 PM – 2:00 AM )

Experience : 8+ years

Notice Period: Immediate Joiner only

Roles and Responsibilities:

Role Overview

The Lead Data Engineer will be responsible for designing, developing, and delivering high-quality software and data solutions while leading a team of engineers. The role involves hands-on technical work, architectural decision-making, mentoring junior developers, and collaborating with cross-functional teams to ensure successful delivery of scalable data platforms and analytical solutions.

Key Responsibilities:

Lead the end-to-end design, development, and delivery of software systems, data pipelines, and components.

Define technical strategy, architecture, and best practices for development and data engineering.

Design and build optimized data pipelines using cutting-edge technologies in a cloud environment.

Construct infrastructure for efficient ETL processes from various sources and storage systems.

Architect, design, and maintain database pipeline architectures, ensuring readiness for AI/ML transformations.

Lead the implementation of algorithms and prototypes to transform raw data into useful information.

Review code for quality, scalability, and performance.

Collaborate with Product Managers, Business Managers, Designers, and QA teams to translate business requirements into technical solutions.

Develop analytical tools, programs, and reporting mechanisms.

Create data validation methods and data analysis tools.

Interpret data trends and patterns to establish operational alerts.

Conduct complex data analysis and present results effectively.

Prepare data for prescriptive and predictive modeling.

Ensure compliance with data governance and security policies.

Troubleshoot, debug, and resolve complex technical issues.

Drive continuous improvement in software and data development processes, tools, and methodologies.

Mentor and guide engineers through code reviews, technical discussions, and training.

Ensure timely delivery of projects while maintaining high engineering standards.

Continuously explore opportunities to enhance data quality and reliability.

Apply strong programming and problem-solving skills to develop scalable solutions.

Demonstrate passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with global teams.

Stay current with emerging technologies and industry trends to propose innovative solutions.

Technical Skills and Experience Requirements

Minimum 8+ years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Python, Scala, and Spark for applied large-scale data processing.

Expertise with big data technologies, including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases such as MySQL and Snowflake.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data lakes.

Qualifications - Bachelor’s degree in computer science, Engineering, Information Systems, or related field.

Technical Lead – Embedded Software Application Projects

link: https://www.ziliconcloud.com/careers

ZILICONCLOUD PRIVATE LIMITED is looking for an experienced Technical Lead with 5–8 years of industry experience in Embedded Systems, IoT, AI, Cloud, and Software Engineering.

The candidate will lead Embedded, IoT, Edge AI, and Cloud projects, define system architecture, convert requirements into technical tasks, and ensure successful project execution and delivery.

Key Responsibilities

• Design modular system architectures for Embedded, IoT, Edge AI, Cloud, REST APIs, and dashboards.
• Convert requirements into clear tasks, milestones, and deliverables.
• Track project progress, manage technical risks, and ensure on-time delivery.
• Guide engineers on coding standards, Git, testing, debugging, and documentation.
• Troubleshoot issues across hardware, firmware, IoT, cloud, backend, and UI.
• Support system integration, testing, debugging, and performance improvement.
• Review technical designs, code, and test results.
• Lead prototype development, integration, technical reviews, and demonstrations.
• Mentor young engineers and explain complex technical concepts in a simple and practical way.
• 
  

Required Skills

C/C++, Python, JavaScript/TypeScript, Linux, FreeRTOS, Microcontrollers, REST APIs, MQTT, Git, Embedded Software, IoT, and system debugging.

Preferred: AWS IoT, Microsoft Azure, ThingsBoard, OpenCV, TensorFlow Lite (TFLite), React, Flutter, or FastAPI.

Education

B.E./B.Tech/M.E./M.Tech in ECE, CSE, Embedded Systems, Mechatronics, or a related field.

📍 Location: East Tambaram, Chennai, Tamil Nadu

💼 Experience: 5–8 Years

🕒 Employment Type: Full-Time

About the Role

We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and AI-assisted software development using Cursor. The role is suited for an engineer who can work directly with clients and internal teams to understand business problems, rapidly build solutions, and take them from prototype to production.

The ideal candidate should have strong expertise in Python, SQL, Databricks, PySpark, data engineering, APIs, and modern AI-assisted development workflows, along with excellent problem-solving and client-facing skills.

Key Responsibilities

Forward Deployed Engineering

• Work directly with clients and stakeholders to understand business and technical requirements.
• Translate business problems into scalable technical and data solutions.
• Rapidly prototype, test, iterate, and productionize solutions.
• Collaborate with engineering, data, AI, and delivery teams to implement customer solutions.
• Troubleshoot production issues and continuously improve deployed solutions.
• Act as a technical bridge between clients and internal engineering teams.

Databricks & Data Engineering

• Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL.
• Build and optimize ETL/ELT and data processing pipelines.
• Work with Databricks Lakehouse, Delta Lake, Unity Catalog, and Databricks Workflows.
• Develop data ingestion and transformation pipelines for structured and semi-structured data.
• Optimize Databricks workloads for performance, scalability, reliability, and cost.
• Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications.

Cursor & AI-Assisted Development

• Use Cursor and AI-assisted development workflows to accelerate software development, debugging, refactoring, and documentation.
• Effectively use AI coding assistants to understand existing codebases and develop new features.
• Apply appropriate engineering judgment to review, validate, test, and secure AI-generated code.
• Use AI-assisted development for rapid prototyping and proof-of-concept development.
• Work with modern AI/LLM APIs and tools where required for customer solutions.
• Stay current with emerging AI-assisted software engineering practices.

Production & Deployment

• Develop production-ready applications, APIs, and data pipelines.
• Work with Git, CI/CD, APIs, containers, and cloud environments.
• Monitor application and pipeline performance and resolve production issues.
• Ensure solutions meet requirements for scalability, security, reliability, and maintainability.
• Collaborate with Data Scientists and ML Engineers to integrate AI/ML capabilities into production systems.

Required Skills & Experience

• 4+ years of experience in Software Engineering, Data Engineering, AI Engineering, or a related field.
• Strong hands-on experience with Databricks.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Delta Lake and Lakehouse architecture.
• Experience building production-grade data pipelines.
• Hands-on experience with Cursor or similar AI-powered coding assistants.
• Strong understanding of REST APIs and system integrations.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Strong debugging, problem-solving, and analytical skills.
• Excellent communication and client-facing abilities.

Preferred Skills

• Experience with Databricks Unity Catalog, Workflows, and MLflow.
• Experience with Generative AI / LLM applications.
• Knowledge of Claude, OpenAI, Azure OpenAI, or other LLM platforms.
• Experience with RAG, vector databases, embeddings, or AI agents.
• Experience with Docker, Kubernetes, and CI/CD.
• Experience in a consulting, customer-facing engineering, or professional services environment.
• Exposure to Agile/Scrum methodologies.

Key Competencies

• Strong problem-solving and ownership mindset
• Ability to work in ambiguous and fast-paced environments.
• Strong client/stakeholder management skills.
• Ability to understand business requirements and convert them into technical solutions.
• Strong communication and presentation skills.
• Ability to rapidly learn new technologies and tools.
• Comfortable working with AI-assisted development while maintaining high engineering standards.

Education

• Bachelor's or master’s degree in computer science, Information Technology, Engineering, Data Science, or a related discipline.

Role Summary:

We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and Generative AI/Claude to work closely with clients, business stakeholders, and internal engineering teams. The ideal candidate will combine strong Data Engineering, Software Engineering, Databricks, and Generative AI skills with the ability to understand business problems and rapidly build, deploy, and optimize production-ready solutions. This is a client-facing, hands-on engineering role where you will work from problem discovery and solution design through POC development, production deployment, and ongoing optimization.

Key Responsibilities:

Forward Deployed Engineering

• Work directly with clients and stakeholders to understand business and technical requirements.
• Translate business problems into scalable data, AI, and software solutions.
• Design and develop POCs and rapidly validate technical solutions.
• Convert successful POCs into reliable, production-ready applications.
• Work closely with client engineering and data teams during implementation and deployment.
• Troubleshoot production issues and continuously optimize deployed solutions.
• Act as a technical bridge between clients, delivery teams, data engineers, AI engineers, and architects.

Databricks & Data Engineering

• Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL.
• Build and optimize data ingestion, transformation, and ETL/ELT pipelines.
• Work with Databricks Lakehouse, Delta Lake, and Unity Catalog.
• Develop Databricks Workflows and production data pipelines.
• Implement data processing solutions for structured and semi-structured datasets.
• Optimize Databricks workloads for performance, scalability, reliability, and cost.
• Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications.

Generative AI & Claude

• Build enterprise AI solutions using Claude and other Large Language Models (LLMs).
• Integrate Claude APIs into applications and business workflows.
• Develop RAG (Retrieval-Augmented Generation) solutions using enterprise data.
• Work with embeddings, vector search, semantic search, and knowledge retrieval.
• Develop AI-powered applications for summarization, classification, information extraction, question answering, and document processing.
• Implement prompt engineering, structured outputs, tool/function calling, and context management.
• Develop and integrate AI agents and multi-step AI workflows where applicable.
• Evaluate LLM responses for accuracy, relevance, groundedness, latency, and cost.
• Implement appropriate AI guardrails, security, and data privacy controls.

Production & Deployment

• Deploy AI and data solutions into production environments.
• Work with APIs, microservices, Git, CI/CD, containers, and cloud platforms.
• Monitor application and pipeline performance and troubleshoot issues.
• Collaborate with Data Scientists and ML Engineers to productionize AI/ML models.
• Ensure solutions meet security, scalability, reliability, and maintainability requirements.

Required Skills & Experience

• 4+ years of experience in Data Engineering, Software Engineering, AI/ML Engineering, or a related field.
• Strong hands-on experience with Databricks.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Delta Lake and Lakehouse Architecture.
• Experience working with Generative AI / LLMs.
• Hands-on experience with Claude / Anthropic APIs is preferred.
• Experience with RAG, embeddings, vector databases, and semantic search.
• Strong understanding of REST APIs and enterprise integrations.
• Experience developing production-grade applications and data pipelines.
• Strong problem-solving and troubleshooting capabilities.
• Excellent communication and client-facing skills.

Preferred Skills

• Experience with Claude Code / Anthropic ecosystem.
• Experience with OpenAI, Azure OpenAI, AWS Bedrock, or other LLM platforms.
• Experience with LangChain, LangGraph, LlamaIndex, or equivalent frameworks.
• Experience with Databricks Unity Catalog, Workflows, and MLflow.
• Experience with AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, and CI/CD.
• Exposure to AI agents and agentic workflows.
• Knowledge of AI evaluation, guardrails, security, and responsible AI.
• Experience working in consulting, client delivery, or customer-facing engineering environments.

Key Competencies

• Strong customer-facing and stakeholder management skills.
• Ability to understand ambiguous business problems and translate them into technical solutions.
• Strong ownership and execution mindset.
• Ability to rapidly prototype, iterate, and productionize solutions.
• Strong analytical and troubleshooting skills.
• Comfortable working in fast-paced and dynamic client environments.
• Excellent written and verbal communication.
• Ability to work independently as well as collaboratively with distributed teams.

 Job Description:

• Job title : Senior DevOps Engineer (On-Premises Automation)        
• Experience: 8+ years
• Location: Chennai / Pune / Hyderabad / Bangalore
• Shift: UK Shift
• Work Mode: Onsite (WFO)

Roles and Responsibilities:

• This engagement automates end-to-end infrastructure build provisioning across on-prem and Azure. The team will build a shared ServiceNow-led intake, approval, orchestration, and closed-loop status model, using Jenkins/Ansible for on-prem builds and Azure DevOps/Terraform for cloud builds. Automation includes standards, security/compliance controls, scan gates, CMDB/change updates, and handover.              

Key Responsibilities:

• Lead secure and repeatable on-prem build provisioning pipelines
• Lead Jenkins CI/CD for automated on-prem provisioning and configuration.
• Create pipeline templates for VM/physical host, OS deployment, configuration, certification, and rollback.
• Embed hardened-image validation, scan gates, secrets handling, approvals, and audit evidence.
• Lead Ansible roles, PowerShell modules, test automation, and code reviews.
• Implement logging, monitoring, and root-cause analysis; support UAT and hypercare.       

Required Qualifications:

• 8–10 years in DevOps, platform engineering, or infrastructure automation.
• Bachelor’s degree or equivalent experience.
• Jenkins
• Git, CI/CD
• Ansible, PowerShell
• Python, IaC
• security scanning, secrets management
• Windows/Linux.

Job Description:

Position: Senior Data Engineer

Location: Chennai / Pune / Bangalore / Hyderabad

Working Type: WFO

Shift: UK Shift (2:00 – 11:00 PM)

Experience : 7+ years overall

Interviews: Assessment || 2 Interview rounds.

Notice Period: Immediate Joiner

Key Responsibilities

Implement ingestion, transformation, and optimization of enterprise data sources into Microsoft Fabric Lakehouse environments.

Configure and optimize Fivetran connectors (Oracle, SQL DB, etc.)

Manage large-volume ingestion and backfill operations

Implement Bronze to Silver transformation pipelines

Develop incremental load and CDC logic

Optimize Lakehouse performance and storage patterns

Implement monitoring (record counts, load duration, failure tracking)

Support Dev/Test/Prod promotion processes

Required Qualifications

7+ years of data engineering experience

Hands-on experience with Microsoft Fabric or Azure Synapse/Data Factory

Strong experience with Fivetran or similar ELT tools

Experience handling high-volume datasets (hundreds of millions of records)

Proficiency in SQL, Python, and data modeling concepts

Strong understanding of Medallion architecture.

Strong Azure Databricks Engineer / Senior Data Engineer Profile

2

Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3

Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4

Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5

Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6

Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7

Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8

Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10

Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

Strong Databricks Architect Profile with end-to-end Lakehouse ownership

2

Mandatory (Experience 1) – Must have 10+ years of software engineering experience with atleast 5+ years in Data Engineering with hands on exposure to Databricks and strong ownership of end-to-end data pipeline development.

3

Mandatory (Experience 2) – Must have atleast 5+ years of expertise across the Databricks ecosystem — Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, Workflows, Unity Catalog

4

Mandatory (Tech skill 1) – Must have worked at architecture level, owning end-to-end design through deployment

5

Mandatory (Tech skill 2) – Must have strong experience with Python and SQL for data processing and Apache Spark for performance tuning & scalability

6

Mandatory (Tech skill 3) – Must have experience in large-scale data warehousing & advanced data modeling (3NF and dimensional) across batch and real-time systems

7

Mandatory (AI Exposure) – Must have at least a basic working understanding of how AI services or tools work

8

Mandatory (Communication) – Must have strong stakeholder management & requirement-gathering experience with US or UK clients

9

Mandatory (Company) – Must come from a B2B IT services or IT consulting background

10

Mandatory (Note) – CTC is inclusive of 5% variable

11

Preferred (Tech skill 1) – Azure Databricks or Azure data services experience (project runs on Azure DevOps)

12

Preferred (Tech skill 2) – MLflow or MLOps practices and AI use cases (RAG, AI/BI)

13

Preferred (Tech skill 3) – CI/CD, Databricks Asset Bundles (DABs) or equivalent packaging, Terraform or IaC, reusable deployment templates

14

Preferred (Integrations) – ServiceNow or enterprise system integrations

15

Preferred (Certifications) – Databricks (Data Engineer Associate or Professional, ML or GenAI tracks), Azure or AWS cloud certifications

Job Description:

Position: CAD/CAM Developer / CAD Software Developer

Experience: 3–6 years

Employment Type: Full-time

Location: Hybrid/ Remote

Job Summary

We are looking for a skilled CAD/CAM Developer to design, develop, customize, and optimize CAD-related software applications and plugins. The ideal candidate should have strong programming experience in C++, C#, and/or Python, along with hands-on experience in CAD APIs, 2D/3D geometry, computational geometry, mathematical modeling, and algorithm development.

The candidate will work closely with engineering and product teams to develop high-performance CAD solutions, automate design workflows, process 3D geometry and point-cloud data, and improve the accuracy and efficiency of engineering applications.

Key Responsibilities

• Develop and maintain CAD/CAM software applications, plugins, and automation tools.
• Develop solutions using C++, C#, Python OR .NET.
• Work with CAD APIs such as AutoCAD API, Revit API, or equivalent CAD SDKs.
• Develop algorithms for 2D/3D geometry processing and geometric modeling.
• Design and optimize computational geometry algorithms for complex engineering problems.
• Work with 3D models, point-cloud data, mesh data, and spatial information.
• Implement geometric operations including alignment, rotation, transformation, measurement, and shape/geometry extraction.
• Develop tools for CAD model validation, quality checking, and automated workflows.
• Optimize algorithms for performance, accuracy, and scalability.
• Integrate software components and third-party SDKs into CAD applications.
• Participate in code reviews, debugging, testing, and technical documentation.
• Collaborate with cross-functional teams including engineering, product, and technical teams.
• Follow Agile development practices and maintain source code using Git/SVN.

Required Skills

Programming

• C++
• C#
• Python
• .NET Framework / .NET Core
• Object-Oriented Programming
• Data Structures & Algorithms

CAD / Geometry

• CAD/CAM Software Development
• AutoCAD / Revit / Autodesk platforms
• CAD API / SDK development
• 2D/3D Geometry
• Computational Geometry
• Geometric Modeling
• Spatial Computing
• Mathematical Modeling
• Algorithm Development & Optimization

3D / Point Cloud – Preferred

• Point Cloud Processing
• 3D Reconstruction
• Mesh Processing
• Voxelization
• PCL / Open3D
• LAS / LAZ / E57 / PLY formats
• Coordinate Transformation

What You Bring • Bachelor’s degree in computer science, Software Engineering, or related field with 7+ years of relevant professional experience. • Deep production experience with Python and JavaScript/TypeScript across backend and frontend, with demonstrated ability to work comfortably across the full stack. • Strong experience with modern frontend frameworks (such as Next.js or React) and backend API development. • Extensive experience with cloud platforms (AWS preferred; Azure or GCP also valued), including infrastructure-as-code tools (such as CloudFormation or Terraform). • Deep Working knowledge of multiple database paradigms, including relational databases (such as PostgreSQL), document databases, and key-value stores (such as Redis), with the ability to select the right storage technology for each problem. • Strong experience with CI/CD pipelines (such as GitHub Actions), containerisation, and production deployment strategies. • Demonstrable fluency with AI coding tools (such as Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on AI-augmented development practices. • Hands-on experience architecting production generative AI applications (LLM integrations, vector databases, RAG systems, evaluation pipelines) is essential. • Experience leading technical initiatives across multiple teams, mentoring engineers, and establishing engineering practices is required. • Experience navigating ambiguous problem spaces, working directly with business stakeholders and end users, and shipping working solutions rapidly is required. • Experience in an embedded, forward-deployed, or consulting-style engineering model is a strong plus. • Must have exceptional communication skills and demonstrated ability to influence at senior levels. This role requires comfort leading across ambiguous environments, building trust-based relationships with commercial stakeholders at all levels, developing junior and mid-level engineers, and making strategic decisions that balance delivery speed with architectural integrity. You will shape engineering practices across your area and be expected to lead multi-team initiatives.  

Job Description: Software Engineer / Core Engineer - Java Full Stack (GCP)

Location: Sholinganallur, Chennai - Work From Office (WFO)only chennai candidate

Experience: 6+ years of IT experience with 4+ years in Software Development [Ideal: 6-10 years]

Education: Bachelor's Degree [B.E./B.Tech or equivalent]

Employment Type: Full Time

About the Role:

This is a Java Full Stack Developer role with a strong GCP requirement. We are looking for a hands-on Software Engineer / Core Engineer to design, build, and scale cloud-native full-stack applications. Java, Spring Boot, Angular, and GCP are mandatory skills for this position.

Mandatory Skills:

• Full Stack Java Development
• Java
• Spring Boot
• Angular
• Google Cloud Platform (GCP)
• REST APIs & Microservices
• Agile Software Development

Preferred Skills:

• Data & Analytics on GCP: BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL, PostgreSQL
• Big Data & Orchestration: Apache Airflow, PySpark, Python
• IaC & DevOps: Terraform, Tekton, Maven, Gradle, SonarQube
• Frameworks & Tools: Spring Cloud, APIGEE, Swagger/OpenAPI
• UI/UX Collaboration

Roles & Responsibilities:

1. Design, develop, test, and deploy robust full-stack applications using Java, Spring Boot, and Angular.
2. Build and maintain scalable REST APIs and microservices-based architecture.
3. Develop responsive, high-performance Angular-based UI applications and collaborate with UI/UX teams for seamless user experience.
4. Design software architecture and end-to-end cloud-native solutions on Google Cloud Platform.
5. Work on GCP deployments, infrastructure setup, and cloud migration initiatives.
6. Follow and advocate Agile, TDD, CI/CD, and DevOps best practices throughout the SDLC.
7. Collaborate effectively with Product Owners, Architects, UI/UX teams, and cross-functional stakeholders.
8. Ensure application security, performance optimization, scalability, and high code quality with SonarQube, code reviews, and testing.

Ideal Candidate Profile:

• 6 to 10 years of total IT experience with strong hands-on development background.
• Strong expertise in Java, Spring Boot, Angular, and GCP - must have built production-grade applications.
• Hands-on experience with Microservices, REST APIs, CI/CD pipelines, and Cloud Deployment.
• Experience with Cloud SQL, PostgreSQL, and GCP data services is a plus.
• Good understanding of software architecture, distributed systems, and performance tuning.
• Excellent communication skills and proven experience working in Agile teams.
• Willingness to work from Sholinganallur, Chennai office (WFO).

What We Offer:

• Opportunity to work on cloud-native, large-scale platforms
• Agile and collaborative work culture
• Exposure to modern GCP data stack and DevOps ecosystem

Python Machine Learning Engineer / Data Scientist (GCP)

Experience: Typically 6–10 Years (based on JD complexity)

Primary Skills: Python, Machine Learning, Data Analysis, Google Cloud Platform (GCP)

Must-Have Skills (ON)

• Python
• Machine Learning
• Data Analysis
• Exploratory Data Analysis (EDA)
• Google Cloud Platform (GCP)
• BigQuery
• Vertex AI
• Cloud Storage
• Cloud Functions
• Pandas
• NumPy
• Scikit-Learn
• TensorFlow OR PyTorch
• Statistical Analysis
• Predictive Modeling
• Business Stakeholder Management
• Requirement Gathering
• Root Cause Analysis
• Data-Driven Decision Making

Role: Data Science with GCP

Locations: Chennai

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Job Summary:

The ideal candidate should have strong expertise in Python| Machine Learning| Data Analysis| and Google Cloud Platform (GCP). This role requires close collaboration with business stakeholders to understand business challenges| translate requirements into actionable business cases| identify opportunities for improvement| and develop data-driven solutions that deliver measurable business value.

Responsibilities:

• Business & Stakeholder Management
• Engage with business stakeholders to understand business problems| goals| and requirements.
• Translate business requirements into clear analytical and machine learning use cases.
• Formulate business cases and define success metrics for proposed solutions.
• Collaborate with cross-functional teams including Product| Engineering| Operations| and Business teams.
• Data Analysis & Problem Identification
• Analyze existing applications| systems| and business processes to identify inefficiencies and improvement opportunities.
• Perform root cause analysis on business and operational challenges.
• Conduct exploratory data analysis (EDA) to discover trends| patterns| and anomalies.
• Generate actionable insights that support strategic business decisions.
• Machine Learning & Advanced AnalyticsDesign| develop| train| and deploy Machine Learning models.
• Implement predictive| classification| recommendation| forecasting| and anomaly detection solutions.
• Data Engineering & CloudWork with structured and unstructured datasets from multiple sources.
• Utilize GCP services such as:
• BigQuery
• Vertex
• AICloud Storage Cloud Functions

Technical Skills

• Strong proficiency in Python.
• Hands-on experience with: Pandas NumPyScikit-Learn TensorFlow/PyTorch, Matplotlib, Seaborn
• Strong understanding of: Machine Learning algorithms, Statistical analysis, Predictive modelling
• Hands-on experience with Google Cloud Platform (GCP).
• Knowledge of data visualization tools such as: Power BI/Tableau

Role: GCP Data Engineer

Location: Bangalore. Chennai, Noida, Pune, Hyderabad

Experience: 5 years

Primary skills: Python, NOSQL, GCP concepts like Airflow, Big Query & Spanner, DAG, Composer for large dataset, Tidal tool

Role Descriptions:

Design| build| and maintain scalable data pipelines to support analytics| ML| and operational reporting.

Develop robust data ingestion| transformation| and integration workflows using Python| SQL| and modern data engineering frameworks.

Work with Google Cloud Platform (GCP) services| including Cloud Storage| Dataflow| PubSub| BigQuery| Cloud Spanner and Cloud Functions

Experience building data pipelines or backend data workflows using Python or similar languages

About the Role

We're looking for a Senior AI/ML Engineer who thrives at the intersection of research and production — someone who doesn't just build models, but ships systems that scale. You'll own the full ML lifecycle: architecting robust data pipelines, training and rigorously evaluating models, and deploying them into high-throughput production environments. This is a role for engineers who want their work to move fast, break assumptions (not systems), and directly shape how AI gets built at scale. If you're energized by turning cutting-edge research into real-world impact, this is your next challenge.

Key Responsibilities

– Design, build, and maintain end-to-end ML pipelines — from raw data ingestion to model serving — with a focus on scalability and reliability.

– Develop, train, and rigorously evaluate ML/DL models using sound experimentation practices (A/B testing, offline/online metrics, statistical validation).

– Own the MLOps lifecycle: implement CI/CD pipelines for model training and deployment, version control for datasets and models, and automated retraining workflows.

– Deploy and monitor models in production using containerized, orchestrated infrastructure (Docker, Kubernetes), ensuring low-latency, high-availability inference.

– Collaborate cross-functionally with Data Engineering, Product, and Backend teams to translate business problems into scalable ML solutions.

– Optimize model performance for cost, latency, and accuracy trade-offs across cloud-based training and inference environments.

– Mentor and guide junior engineers and data scientists — conducting code reviews, sharing best practices, and raising the technical bar of the team.

– Stay current with emerging research (LLMs, generative AI, RAG architectures) and proactively identify opportunities to apply them to existing products.

Required Technical Skills

Languages

– Expert-level Python; working knowledge of R or C++ is a plus.

Frameworks

– TensorFlow, PyTorch, Scikit-Learn, Keras.

Data & Cloud

– Strong SQL and NoSQL fundamentals.

– Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), specifically their ML tooling — SageMaker, Vertex AI, or equivalent.

– Experience with distributed data processing frameworks: Spark, Hadoop.

MLOps & Deployment

– Proficiency with Docker and Kubernetes for containerized deployment.

– Experience building CI/CD pipelines for ML workflows.

– Familiarity with experiment tracking and pipeline orchestration tools like MLflow or Kubeflow.

Advanced / Nice-to-Have

– Practical experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.

– Experience fine-tuning transformer-based models for domain-specific use cases.

Qualifications & Experience

– Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

– 5+ years of hands-on experience building, training, and deploying production-grade AI/ML models at scale.

– Demonstrated track record of taking models from prototype to production in a real-world business setting.

What We Offer

– Competitive compensation, benchmarked to top-tier tech talent in the industry.

– Comprehensive health insurance coverage for you and your family.

– Annual learning & development stipend for courses, certifications, and conferences.

– A collaborative, high-ownership culture where engineering excellence is celebrated.

– The opportunity to work on cutting-edge AI systems with direct, visible impact.

About Tech Transient

Tech Transient is an AI consulting and digital transformation firm headquartered in Coimbatore, Tamil Nadu.

We partner with enterprises and growth-stage companies to design and deliver intelligent digital products — spanning mobile applications, cloud platforms, and AI-driven solutions. Our mission is to translate emerging technology into measurable business outcomes.

Key Responsibilities:

·       Design, develop, and maintain scalable data warehouse solutions using Snowflake.

·       Write, optimize, troubleshoot, and enhance Snowflake SQL queries with a focus on performance and scalability.

·       Develop and support ETL processes using Talend to ensure reliable and efficient data movement.

·       Collaborate with business, analytics, and application teams to enable reporting, dashboards, metrics, and data exploration capabilities.

·       Perform data analysis and resolve issues across data ingestion, transformation, and reporting pipelines.

·       Debug and troubleshoot Python-based data processing scripts and automation workflows.

·       Implement best practices for data quality, testing, deployment, and code reviews.

·       Work across UI, API, and Data Warehouse layers to support end-to-end data integration and business requirements.

·       Monitor, optimize, and maintain data warehouse performance and operational stability.

·       Create and maintain technical documentation, data models, and process workflows.

Required Skills and Experience: 

·       Strong hands-on expertise in Snowflake Data Warehouse.

·       Advanced SQL skills with experience handling large-scale datasets.

·       Strong understanding of Data Warehousing concepts, dimensional modelling, and data architecture.

·       Hands-on experience with Analytical SQL functions, query tuning, and performance optimization.

·       Experience developing and maintaining ETL solutions using Talend.

·       Proficiency in Python for scripting, debugging, automation, and data processing.

·       Experience integrating UI, API, and Data Warehouse workflows.

·       Strong problem-solving and analytical skills.

·       Experience with testing, code reviews, and deployment best practices.

·       Excellent communication and stakeholder management skills.

Who are we?

Securin is an AI-driven cybersecurity company focused on proactive, adversarial exposure and

vulnerability management. Our mission is to help organizations reduce cyber risk by identifying,

prioritising, and remediating the issues that matter most. Powered by a seasoned team of threat

researchers and status as a Certified Naming Authority (CNA), Securin combines artificial intelligence

/ machine learning, threat intelligence, and deep vulnerability research (including the Dark Web) to

deliver an adversarial approach to cyber defence. We help enterprises shift from reactive patching

to strategic, risk-based exposure and vulnerability management – driving smarter security decisions

and faster remediation.

What do we promise?

We are a highly effective tech-enabled cybersecurity solutions provider and promise continual

security posture improvement, enhanced attack surface visibility, and proactive prioritised

remediation for every one of our client businesses.

What do we provide?

● A chance to be on the leading edge of cybersecurity and AI

● Ability to have direct impact on company growth and revenue strategy

● An opportunity to mentor and be mentored by experts in multiple disciplines

What do we deliver?

Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities,

and risks in their environment. We deliver predictive and definitive intelligence and facilitate

proactive remediation to help organizations stay a step ahead of attackers.

By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their

security posture and protect their assets from even the most advanced and dynamic attacks.

Securin has been recognized by national and international organizations for its role in accelerating

innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge

technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the

industry.

Key Responsibilities:

● Develop and maintain Python-based applications, ensuring high quality, performance, and

maintainability.

● Apply object-oriented programming (OOP) principles and best practices to design and

implement software solutions.

● Collaborate with cross-functional teams to understand project requirements and contribute

to technical discussions.

● Utilize NoSQL databases, particularly MongoDB, to store and retrieve data efficiently.

● Implement and adhere to test-driven development (TDD) methodologies, writing unit tests

and integration tests for robust and reliable code.

● Work closely with team members to review code, provide constructive feedback, and improve

overall code quality.

● Participate in agile development processes, including sprint planning, daily stand-ups, and

retrospectives.

● Communicate effectively with team members and stakeholders to discuss project updates,

challenges, and solutions.

● Demonstrate a proactive attitude towards learning new technologies and acquiring new skills

to enhance professional growth.

● Stay up to date with industry trends, emerging technologies, and best practices in Python

development.

● 5-7 years hands on experience who can lead architect for features/modules, Mentors others

and ensures code quality, Identifies improvements to patterns, architecture, processes and

handles tough problems independently preferred.

● Knowledge of version control systems (e.g., Git) and collaborative development workflows.

● Familiarity with Agile/Scrum methodologies.

Requirements:

● Can articulate and comprehend communications within and outside the team.

● Is participative and able to present information both verbally and in writing in a way that others can easily understand.

● Is able to communicate commitments, set expectations and meet those.

● Ensures that they have the appropriate context and background prior to presenting information.

● Solicits ideas and inputs from other team members.

● Actively pursues opportunities to develop skills.

● Regularly encourages and recognizes others.

● Consistently can be counted on to identify problems when they occur.

● Independently able to research alternatives or define what data is relevant and can collect

appropriate information to bring to the conversation.

● Is able to independently evaluate options and choose the best solution when making a recommendation.

● Seeks out customer requirements and works to meet customer expectations.

● Viewed as effective by the customer.

● Realizes that customer supplier relationships go both ways.

● Effectively leads and motivates a team, sets clear goals and expectations, delegates tasks, and

communicates effectively.

● Actively engages in mentoring relationships, providing guidance and support to mentees,

helping them develop their skills and achieve their goals.

● Identifies improvements to patterns, architecture, processes.

● Handles tough problems independently.

● Influences architecture decisions for product/tech depts.

● Comfortable using frameworks to develop applications, with the ability to configure and utilize

key features and functionalities.

● Able to design and implement database schemas, write complex SQL queries, and perform

basic database administration tasks.

● Able to identify and apply appropriate design patterns in code to solve specific problems,

following best practices.

● Can deploy and manage applications on cloud platforms, utilize cloud services like storage,

messaging, and compute, and understand cloud-native principles to new technologies.

● Strong problem-solving and analytical thinking abilities.

Role overview:

We are hiring one Senior Backend Engineer to take end-to-end ownership of our serverless backend — a hands-on IC role for someone both technically excellent and comfortable being one of the few people the entire backend depends on. You'll own the services across several Node.js and Python repositories, work directly with the founders and product team, and set the technical bar for reliability, security, and performance.

Key responsibilities

• Design, build, and operate AWS Lambda services across our HCM/workforce, project-management, commercial/revenue, permissions, and document domains — each comprising dozens of functions.
• Own the multi-tenant PostgreSQL data layer — schema design, query performance, and the permission/relationship model — end to end.
• Maintain and evolve the request path — API Gateway → custom Lambda authorizer → VPC-bound Lambda → private databases — including the runtime IAM/credential model that scopes every request.
• Safeguard tenant isolation and security across a per-company Cognito authentication model.
• Build and maintain integrations with external construction data environments (Asite, Autodesk Construction Cloud), including large-scale document synchronization.
• Optimize performance and reliability to keep latency-sensitive endpoints well within platform limits under growing load.
• Raise the engineering bar — testing, observability, CI/CD, and modernization of legacy components.
• Debug and resolve production incidents to root cause, and put safeguards in place so they don't recur.
• Document decisions and designs and collaborate with the frontend (Angular) and product teams.

Challenges you'll solve.

We prefer to be candid — these are the problems that make this role genuinely interesting:

Latency under a hard ceiling

API Gateway terminates any request beyond ~29 seconds regardless of the Lambda's own timeout — yet much of our value comes from heavy cross-project reporting. You'll keep p95 latency within budget through set-based SQL, pagination, streaming, and asynchronous processing.

Least-privilege, per-request security

A shared custom authorizer mints short-lived, request-scoped credentials via sts:AssumeRole under a strict 2,048-character inline session-policy limit. You'll design permission models that stay within that budget and reason about IAM precisely.

Graph-shaped data, relational store

The permission and relationship model is inherently graph-like, but lives in PostgreSQL — you'll model it with recursive queries, careful indexing, and set-based traversal rather than reaching for a separate graph engine.

Watertight multi-tenancy

One Cognito pool per company and tenant-scoped access throughout — isolation is a first-order concern.

VPC-bound serverless

Lambdas run inside a VPC to reach private databases; you'll manage cold starts, connection lifecycles, and pool limits.

Resilient external integrations

Syncing large document sets from third-party APIs (including SOAP/XML) demands backpressure, deduplication, retries, and graceful partial-failure handling.

Compute-heavy workloads

Server-side PDF generation, image processing, and multi-currency handling within Lambda's memory and time constraints.

The stack.

Runtime — Node.js, Python, AWS Lambda

AWS services — -1 API Gateway, Lambda, Cognito, STS / IAM, Secrets Manager, S3 CloudWatch, VPC, EC2

Infrastructure & CI/CD- AWS SAM, CodePipeline → CodeBuild Shared Data —PostgreSQL

Qualifications.

• 5+ years building and operating production backend systems.
• Deep expertise in Node.js and JavaScript — the asynchronous model, event loop, and memory behavior — plus solid working proficiency in Python and its production behavior.
• Strong hands-on AWS experience, ideally serverless (Lambda, API Gateway, IAM/STS, VPC, Secrets Manager, CloudWatch) — able to reason about IAM policies, not just apply them.
• Advanced SQL and relational data modeling — set-based query design and a working understanding of why N+1 patterns cause production issues.
• Proven production-debugging ability — root-cause analysis in distributed systems from logs and first principles.
• Strong ownership, sound judgment, and clear written communication — able to make good decisions with incomplete information and explain trade-offs to non-engineers.

Interview Process:

Introductory call-Mutual fit and role overview.

Technical deep-dive- A walkthrough of a challenging production problem you have owned.

Practical exercise -A realistic backend task, or a walkthrough of your own representative code.

System design- Collaborative design on a real scenario.

Final conversation- Values, ownership, compensation, and offer.

Principal DevOps Engineer

Note - Screening Requirement: Please note that this position requires a minimum of 8+ years of hands-on Architecting DevOps/SRE/Platform Engineering experience specializing in AWS, EKS/Kubernetes, Terraform, Python, Jenkins, and AI workflows (Mandatory skills) from scratch.

We are looking for an absolute builder who has a proven track record of personally architecting, designing and setting up production-grade AWS EKS clusters entirely from scratch. If your experience is primarily limited to managing, maintaining, or optimizing pre-existing environments that were already stood up by another team, this is not the right opportunity for you.

Who are we?

Securin is an AI-driven cybersecurity company focused on proactive, adversarial exposure and vulnerability management. Our mission is to help organizations reduce cyber risk by identifying, prioritising, and remediating the issues that matter most. Powered by a seasoned team of threat researchers and status as a Certified Naming Authority (CNA), Securin combines artificial intelligence / machine learning, threat intelligence, and deep vulnerability research (including the Dark Web) to deliver an adversarial approach to cyber defense. We help enterprises shift from reactive patching to strategic, risk-based exposure and vulnerability management – driving smarter security decisions and faster remediation.

What do we promise?

We are a highly effective tech-enabled cybersecurity solutions provider and promise continual security posture improvement, enhanced attack surface visibility, and proactive prioritized remediation for every one of our client businesses.

What do we provide?

● A chance to be on the leading edge of cybersecurity and AI

● Ability to have direct impact on company growth and revenue strategy

● An opportunity to mentor and be mentored by experts in multiple disciplines

What do we deliver?

Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities, and risks in their environment. We deliver predictive and definitive intelligence and facilitate proactive remediation to help organizations stay a step ahead of attackers. By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their security posture and protect their assets from even the most advanced and dynamic attacks.

Securin has been recognized by national and international organizations for its role in accelerating innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the industry.

Core Technology Stack

AWS , EKS / Kubernetes, Jenkins , Python ,Terraform ,CI/CD , AI

Key Responsibilities:

● Architect and manage the end-to-end SaaS platform infrastructure on AWS, including EKS cluster design, VPC networking, IAM, and multi-region availability.

● Build, maintain, and optimize Jenkins-based CI/CD pipelines and develop Python automation scripts for provisioning, deployments, and runbook automation.

● Define and enforce platform SLOs/SLAs; own the observability strategy across logging, metrics, and tracing.

● Manage and participate in the on-call rotation; act as escalation point for P1/P2 incidents and drive post-incident reviews.

● Drive Infrastructure-as-Code (IaC) practices with Terraform/CloudFormation and champions a culture of automation and operational excellence.

● Collaborate cross-functionally with product, security, and engineering teams to align infrastructure roadmap with business goals.

● Identify opportunities to leverage AI to automate operational and DevOps workflows.

● Design and implement AI-assisted solutions for incident triaging, root cause analysis, log analysis, and performance optimization.

● Drive the adoption of AI-powered tools for infrastructure management, deployment automation, monitoring, and troubleshooting.

● Build intelligent workflows that reduce manual effort in release management, capacity planning, and operational support.

● Integrate AI capabilities into CI/CD pipelines to improve code quality, deployment reliability, and operational efficiency.

● Collaborate with engineering teams to automate repetitive tasks and improve developer productivity.

● Define best practices and governance for the safe and effective use of AI across DevOps processes.

● Measure and report on productivity gains, operational improvements, and cost savings achieved through AI adoption.

Requirements:

● 8+ years of experience in DevOps, SRE, or cloud infrastructure engineering roles.

● Deep hands-on expertise with AWS services (EC2, EKS, RDS, S3, IAM, VPC, CloudFront, Route53, Lambda, etc).

● Strong Kubernetes experience: cluster management, Helm, autoscaling (HPA/KEDA).

● Proficiency with Jenkins for complex CI/CD pipeline design and maintenance.

● Solid Python scripting skills for automation, tooling, and infrastructure management tasks.

● Experience with Infrastructure-as-Code using Terraform and/or AWS Cloud Formation.

● Proven track record of architecting and managing end-to-end SaaS products in a cloud-native environment.

● Strong understanding of networking fundamentals, security best practices, and compliance frameworks (SOC 2, ISO 27001 a plus).

● Hands-on experience with on-call processes and incident management frameworks.

Preferred Qualifications:

● AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalent.

● Familiarity with service mesh, secrets management (Vault, AWS Secrets Manager), and zero-trust security models.

● Experience with multi-tenant SaaS architectures and tenant isolation strategies.

● Knowledge of FinOps principles and AWS cost management tooling.

● Experience with database DevOps: RDS, Aurora schema migrations, and backup strategies.

Core Competencies:

● Strategic Thinking – ability to translate business goals into scalable technical architecture.

● Operational Excellence – strong bias for reliability, automation, and continuous improvement.

● Communication – ability to clearly articulate complex technical topics to non-technical stakeholders.

● Ownership Mindset – proactively identifies and resolves risks without waiting to be asked.

● Resilience Under Pressure – calm and decisive during incidents; leads by example in high-stress situations.

Why should we connect?

We are a bunch of passionate cybersecurity professionals who are building a culture of security. Today, cybersecurity is no more a luxury but a necessity with a global market value of $150 billion.

At Securin, we live by a people-first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best-in-industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home.

If you are passionate about cybersecurity just as we are, we would love to connect and share ideas

Primary Skills

• Observability: ELK (Elasticsearch/Kibana), Prometheus, Grafana, PromQL
• Automation: Java/Vert.x or Python (FastAPI), Shell/Bash, REST/SOAP APIs
• Cloud & Platform: Docker, Kubernetes, Kafka, Redis
• Reliability Engineering: Distributed Systems, Microservices, Event-Driven Architecture, DR & Incident Management
• Stakeholder Management & Cross-functional Collaboration

Secondary Skills

• Agentic AI: LangChain, LangGraph, RAG, MCP
• LLM Integration & AI Frameworks
• Python (FastAPI)

Key Responsibilities

• Build and deploy LLM-powered Agentic AI solutions with tool calling and autonomous workflows.
• Integrate AI capabilities into existing applications using modern AI frameworks.
• Own platform reliability through SLAs, SLOs, error budgets, MTTD/MTTR, and operational governance.
• Enhance observability using ELK, Prometheus, Grafana, and advanced alerting.
• Lead incident response, RCA, disaster recovery, and resiliency initiatives.
• Drive production readiness, automation, platform stability, and infrastructure optimization.

Staff Software Engineer — AI-native, high agency

ZoomRx Technology Team · Chennai / Pune / Gurugram (hybrid)

The bet

The last 12 months redefined what “senior engineer” means. We’re hiring the people who already operate the new way.

If you’ve spent this year rewiring how you ship — turning ambiguous PRDs into shipped features with Claude Code and Codex in the loop, replacing rote work with agents, treating AI as leverage instead of assistance — read on.

About ZoomRx

We work on hard problems at the intersection of data, healthcare, and technology, for the world’s largest biopharma companies. Our products — Ferma.AI, PERxCEPT, HCP-Pt Conversations — shape how they understand markets and make decisions. We’re flat; engineers own outcomes, not tickets.

Apply Here:-Hey! I came across an amazing job opportunity at ZoomRx that I think could be a perfect match for you. Check out the details and apply here: Staff Software Engineer

The role

You’ll own engineering work end-to-end across our products and platform — from ambiguous problem to shipped feature.

•    Translate fuzzy product and engineering asks into shipped systems; you don’t wait for a manager to break the work down for you.

•    Build with Claude Code, Codex, and the broader agentic stack as your default workflow — not novelty.

•    Design and ship backend systems, APIs, and data platforms that hold up at scale.

•    Partner directly with product owners and stakeholders. Product instinct matters as much as code.

How we engineer

We write evals, not just tests. We engineer the harness: model routing, context and prompt design, tokenomics — first-class craft, not afterthoughts. We author skills and MCP plugins to specialize our toolchain — we don’t just consume it. Open-weights models get explored when they unlock cost, sovereignty, or capability that frontier APIs can’t. We treat the engineering loop itself as something to instrument and improve, week over week.

How we operate

Closer to a Forward-Deployed Engineer than a heads-down coder. Twice-daily written updates are the default, not an ask. Decisions, trade-offs, and approaches live where everyone can see them — silence stays comfortable because the writing is already flowing. We respond fast on chat and email and treat documents as how we think and align.

What we look for

•    4–10 years building real software. Stack is secondary; strong fundamentals and learning agility are not.

•    You’ve already rewired how you work in the last 6–12 months around AI tooling. You can tell us specifically what changed, and why.

•    High agency. You spot the problem, frame it, and ship the fix without waiting to be asked.

•    Communicates in writing by default. Surfaces progress, decisions, and blockers fast — not weekly, not when asked.

•    No cognitive surrender. You think with AI, not through it — you spot slop, push back on the model, and ship higher-quality work because of the loop, not despite it.

•    Sharp judgment on trade-offs, prioritization, and when to push back.

•    Comfort with ambiguity and a bias to action.

Python, FastAPI, LangGraph, and Postgres are common in our stack — but we’d rather hire a generalist who thinks AI-native than a specialist who doesn’t.

Why now

We’re not retrofitting AI onto how we used to work. We’re rebuilding the tech function around it — operating model, tooling, hiring bar. Engineers joining now shape what that looks like.

If “what changed in the last six months of how you work” is a question you have a real answer to, we’d love to talk.

What’s in our stack today

Tooling our engineers run on every day: Claude Code, Codex, MCP servers, and the broader agentic toolchain.

Product stack: Python, FastAPI, LangGraph, Temporal, Anthropic Claude, OpenAI, Google Gemini (Vertex AI), Milvus, PostgreSQL, Redis, Kubernetes (GKE) on GCP, LangFuse, SigNoz, Sentry.

We don’t expect everyone to have touched all of these — most of our engineers picked up half on the job.

Job Title : Data Engineer – Databricks

Experience : 6+ Years

Location : Noida / Hyderabad / Chennai / Pune / Bengaluru (Hybrid)

Shift : IST (Normal Shift)

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in Databricks, Snowflake, Python, and Spark to build and optimize scalable data pipelines and support AI/ML model deployments. The ideal candidate should have experience working with cloud-based data platforms and preferably possess exposure to the Healthcare domain.

Required Skills :

• Databricks (Preferred)
• Snowflake
• Python
• Apache Spark
• SQL
• Azure Cloud
• Kubernetes
• Apache Airflow
• GitHub & CI/CD Pipelines
• AI/ML Model Deployment
• Data Analytics

Preferred :

• Experience in the Healthcare domain.
• Strong understanding of scalable data engineering architectures and best practices.

Hiring: GCP Data Engineer (FTE)

📍 Location: Bangalore | Chennai | Pune | Gurgaon | Kolkata

💼 Employment Type: Full-Time

Notice Period - Immediate Joiner ( Serving Notice Period )

Work Mode - Hybrid

We are looking for experienced GCP Data Engineers with strong expertise in building scalable cloud data solutions.

Required Skills:

✔ GCP Data Engineering Experience

✔ BigQuery

✔ SQL & Python

✔ PySpark / Apache Spark

✔ Apache Beam / Dataflow

✔ ETL / ELT Pipeline Development

✔ Airflow / Cloud Composer

Responsibilities:

• Design and develop scalable ETL/ELT pipelines on GCP
• Build and optimize BigQuery solutions
• Process large-scale structured/unstructured data using Spark
• Develop automated workflows and cloud-native data pipelines
• Work with GCP services like Dataflow, Dataproc, Cloud Storage, etc.
• 
  

Good to Have:

• Google Cloud Certifications (Professional Data Engineer / Solution Architect)
• Experience with BigTable, Cloud SQL, Spanner, NoSQL databases

🎓 Qualification: Bachelor’s / Master’s in CS, Engineering, or related field

Experience: 6+ Years

Location: Chennai & Pune

Work Model: Hybrid

Notice Period: Immediate Joiners Preferred

Role Overview

We are looking for a highly skilled Senior Python Engineer to design, develop, and scale robust backend systems and data-driven applications. The ideal candidate should have strong problem-solving skills, experience with modern Python frameworks, and exposure to cloud and emerging technologies like Generative AI and LLMs.

Key Responsibilities

• Design, develop, and maintain scalable applications using Python
• Build and optimize RESTful APIs using Flask or FastAPI
• Work on data manipulation, processing, and transformation using Python libraries
• Collaborate with cross-functional teams to define and deliver high-quality solutions
• Develop efficient, reusable, and reliable code with strong attention to performance
• Implement containerization and orchestration using Docker and Kubernetes
• Ensure application security, data protection, and compliance best practices
• Manage code versioning using Git and follow CI/CD best practices
• Contribute to cloud-based deployments and infrastructure
• Explore and implement solutions using Generative AI and Large Language Models (LLMs)

Required Skills & Qualifications

• 6+ years of hands-on experience in Python development
• Strong understanding of Python fundamentals and problem-solving skills
• Experience with data manipulation libraries (e.g., Pandas, NumPy)
• Expertise in building REST APIs using Flask or FastAPI
• Solid understanding of ORM frameworks (e.g., SQLAlchemy, Django ORM)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Hands-on experience with Docker and Kubernetes
• Strong knowledge of application security principles
• Proficiency in Git and version control practices
• Exposure to Generative AI concepts and working with LLMs