50+ Google Cloud Platform (GCP) Jobs in India

Job Title: Senior Data Tester

Location : Hyderabad

Mode: Hybrid

Notice Period: Immediate Joiner

Key Responsibilities:

• 8+ years of experience in ETL/data testing.
• Design, implement, and execute data validation test plans and test cases.
• Understanding of data modelling and data governance principles.
• Experience with test automation frameworks and scripting (e.g., Python, Shell)Conduct thorough ETL testing, including data extraction, transformation, and loading.
• Validate data integrity across various sources and destinations (data lakes, warehouses, etc.)
• Perform data reconciliation and analysis to identify inconsistencies or data quality issues.
• Develop and maintain automated data testing frameworks using SQL or scripting languages.
• Strong experience with SQL and writing complex queries for data validation.
• Knowledge of data warehouse concepts and testing tools. Experience with ETL tools (e.g., Informatica, Talend, SSIS, etc.)
• Familiarity with cloud platforms (Azure, GCP) and modern data tools (e.g., Snowflake, Big Query).
• GCP is mandatory. Experience in Agile development and working within cross-functional teams.
• Exposure to BI tools (Power BI, Tableau, Looker)
• Familiarity with CI/CD pipelines and version control systems like Git ISTQB or equivalent testing certifications.

• Design, build, and maintain scalable ETL/ELT pipelines for batch and real-time data ingestion and transformation.
• Develop and optimize data lake and data warehouse architectures (e.g., Snowflake, BigQuery, Redshift).
• Work with cloud platforms GCP, Azure to manage data infrastructure.
• GCP as mandatory skills
• Collaborate with analytics and product teams to understand data needs and deliver solutions.
• Ensure data quality, reliability, security, and compliance across all data systems.
• Mentor junior data engineers and contribute to best practices and code reviews.
• Monitor and troubleshoot data pipeline performance and resolve data-related issues.
• Automate data validation, monitoring, and alerting processes.
• 8+ years of experience in data engineering or software engineering with a data focus.
• Proficient in SQL and at least one programming language (e.g., Python, Scala, Java).
• Experience with modern data warehousing tools (e.g., Snowflake, Redshift, BigQuery).
• Strong understanding of data modeling, data lakes, and ETL/ELT design.
• Hands-on experience with orchestration tools like Airflow, dbt, or similar.
• Solid experience with cloud data platforms (AWS/GCP/Azure).
• Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and version control (Git).
• Experience working in a DevOps or DataOps environment.
• Knowledge of data governance, lineage, and cataloging tools (e.g., Collibra, Alation).
• Familiarity with streaming technologies (Kafka, Spark Streaming, Flink).
• Experience supporting machine learning workflows and data science initiatives.

Location: Ahmedabad / WFO

Experience: 0–1 Year / Freshers

Internship: 6months ( leading to full-time employment )

About the Role

We are looking for a motivated DevOps Engineer Intern who is interested in Cloud, Automation, and Infrastructure. You will work with our engineering team on application deployments, cloud environments, CI/CD pipelines, and day-to-day DevOps activities.

What You'll Work On

• Work with Linux-based systems and perform basic troubleshooting.
• Use Git & GitHub for version control and team collaboration.
• Write basic Bash/Shell scripts to automate repetitive tasks.
• Work with Docker to build and run containerized applications.
• Assist with CI/CD pipelines and automated application deployments.
• Gain hands-on exposure to AWS, Azure, or GCP.
• Understand basic cloud networking, IAM, and security concepts.
• Troubleshoot deployment, application, and infrastructure issues.
• Maintain basic technical documentation and follow DevOps best practices.

Must-Have Skills

• Basic understanding of Linux.
• Hands-on knowledge of Git & GitHub.
• Basic Bash/Shell scripting.
• Understanding of Docker and containers.
• Basic understanding of at least one cloud platform (AWS/Azure/GCP).
• Understanding of CI/CD concepts.
• Basic networking concepts, including HTTP/HTTPS, DNS, ports, IP, and SSH.
• Good troubleshooting and problem-solving skills.
• Strong interest in DevOps, Cloud, and Automation.

Good to Have

• Hands-on experience with GitHub Actions.
• Basic knowledge of Terraform.
• Exposure to Kubernetes.
• Basic Python scripting.
• Personal DevOps/Cloud projects or a GitHub portfolio.
• AWS/Azure/GCP or DevOps certification.

We are seeking a highly skilled and experienced Microsoft Infrastructure & AI Solutions Engineer to lead the implementation, administration, migration, and optimization of Microsoft technologies including Intune, SCCM (Configuration Manager), Exchange, Active Directory, SharePoint, and Microsoft AI Services.

The ideal candidate will possess strong technical expertise in Microsoft platforms, excellent communication and stakeholder management skills, and the ability to deliver end-to-end infrastructure modernization and digital transformation projects. Experience with non-Microsoft enterprise technologies and multi-vendor environments will be considered a significant advantage.

Key Responsibilities

Microsoft Intune & Endpoint Management

• Design, implement, and manage Microsoft Intune solutions.
• Configure device enrollment and lifecycle management for Windows, macOS, iOS, and Android devices.
• Deploy applications, configuration profiles, compliance policies, and security baselines.
• Implement Conditional Access, device compliance, and endpoint security controls.
• Manage software updates, feature updates, and Windows Autopilot deployments.
• Monitor endpoint compliance and remediate security or configuration issues.

SCCM (Microsoft Configuration Manager)

• Deploy, configure, and maintain SCCM infrastructure.
• Manage Operating System Deployment (OSD), imaging, and task sequences.
• Implement software distribution and patch management solutions.
• Configure co-management between SCCM and Intune.
• Generate operational reports and troubleshoot SCCM infrastructure issues.
• Support migration from traditional endpoint management to cloud-native management.

Microsoft Exchange

• Implement and administer Exchange Online and Hybrid Exchange environments.
• Perform mailbox migrations and tenant-to-tenant migration activities.
• Manage mail flow, connectors, transport rules, and email security configurations.
• Configure SPF, DKIM, DMARC, anti-spam, and anti-phishing protections.
• Troubleshoot messaging and mail delivery issues.
• Monitor and optimize Exchange service health and performance.

Active Directory & Identity Management

• Design, implement, and administer Active Directory infrastructure.
• Configure and manage Group Policy Objects (GPOs).
• Implement Microsoft Entra ID (Azure AD) integration and identity synchronization.
• Configure Single Sign-On (SSO), Multi-Factor Authentication (MFA), and Conditional Access.
• Manage user provisioning, onboarding, offboarding, and access governance.
• Support hybrid identity and directory synchronization solutions.

Microsoft SharePoint

• Design, implement, and administer SharePoint Online environments.
• Build collaboration sites, document management solutions, and intranet portals.
• Configure permissions, content management, governance, and retention policies.
• Support migration from file shares and legacy SharePoint platforms.
• Integrate SharePoint with Microsoft Teams, Power Platform, and business applications.
• Implement records management and knowledge management solutions.

AI Services & Modern Workplace Solutions

Microsoft AI & Copilot Services

• Implement Microsoft 365 Copilot and Copilot Studio solutions.
• Design and deploy AI-powered agents for HR, Finance, IT Service Desk, and business operations.
• Configure AI governance, security, compliance, and data protection controls.
• Integrate Copilot solutions with SharePoint, Teams, Dataverse, and enterprise applications.
• Support AI adoption initiatives and business process automation.

Azure AI Services

• Implement and manage:
• Azure OpenAI Service
• Azure AI Foundry
• Azure AI Search
• Azure Document Intelligence
• Azure Speech Services
• Azure Language Services
• Design Retrieval-Augmented Generation (RAG) and knowledge management solutions.
• Develop AI solution architectures aligned with security and compliance requirements.
• Support Responsible AI and enterprise AI governance initiatives.

Required Technical Skills

Microsoft Technologies

• Microsoft Intune
• SCCM / Microsoft Configuration Manager
• Exchange Online & Hybrid Exchange
• Active Directory
• Microsoft Entra ID (Azure AD)
• SharePoint Online
• Microsoft Teams Administration
• Windows Server Administration
• Microsoft 365 Administration
• PowerShell Scripting
• Security & Compliance
• Microsoft Defender Suite
• Conditional Access
• Identity Protection
• Microsoft Purview
• Endpoint Security
• Device Compliance
• Data Loss Prevention (DLP)
• Information Protection & Governance
• AI & Automation
• Microsoft 365 Copilot
• Copilot Studio
• Azure OpenAI
• Azure AI Services
• AI Governance
• Prompt Engineering
• Power Automate
• Power Platform Integration

Soft Skills

• Excellent verbal and written communication skills.
• Ability to communicate effectively with business stakeholders, project teams, and executive management.
• Strong documentation, presentation, and reporting skills.
• Excellent problem-solving and analytical capabilities.
• Strong project implementation and stakeholder management experience.
• Ability to work independently and manage multiple projects simultaneously.

Additional Preferred Experience

• Experience implementing and supporting non-Microsoft technologies will be considered a strong advantage.
• Exposure to AWS, Google Cloud Platform (GCP), VMware, Citrix, Cisco, Fortinet, Palo Alto, Linux, Veeam, ServiceNow, Trend Micro, CrowdStrike, or similar enterprise solutions.
• Experience integrating Microsoft platforms with third-party security, identity, ITSM, cloud, and SaaS solutions.
• Knowledge of enterprise architecture, cybersecurity, governance, and compliance frameworks.

Preferred Qualifications & Certifications

• Bachelor's Degree in Information Technology, Computer Science, Engineering, or related field.
• 5+ years of relevant implementation and administration experience.

Preferred Certifications

• Microsoft Certified: Endpoint Administrator Associate
• Microsoft 365 Certified: Administrator Expert
• Microsoft Certified: Identity and Access Administrator Associate
• Microsoft Certified: Azure Administrator Associate
• Microsoft Certified: Azure AI Engineer Associate (AI-102)
• Microsoft Certified: Information Protection Administrator Associate
• ITIL Foundation Certification (Preferred)

Key Deliverables

• Microsoft Intune implementation and device management.
• SCCM deployment, migration, and optimization.
• Exchange Online and Hybrid Exchange implementation.
• Active Directory and Entra ID integration.
• SharePoint Online deployment and governance.
• Microsoft 365 security and compliance implementation.
• AI and Copilot deployment and governance framework.
• Technical documentation, knowledge transfer, and operational handover.
• Integration of Microsoft and third-party enterprise technologies.

Location: Hyderabad, India (home base), deployed at client sites in India. Occasional Middle East exposure possible.

About the Role

You will work as a senior AI consultant who embeds inside a customer's business. Your job is to learn how the business makes money, find the highest value problem, and build a working system that solves it.

You will not hand over a document and walk away. You will show working software early, own the roadmap, own the client relationship, and stay after go-live to run and improve the system.

Four behaviors define this role:

1. Go where the work happens. You work onsite with the customer, in the room where decisions are made.
2. Show working software early. You build a prototype in days, not a document in weeks.
3. One person owns the outcome. You are the single point of accountability for the result.
4. Stay after go-live. You keep running and improving the system after launch.

You are the single point of accountability. You are not a solo builder. A full KnackLabs engineering team in Hyderabad builds and runs the production systems behind you.

This role involves extended onsite deployments at client locations in other cities, sometimes up to six months at a stretch. Please apply only if you are ready for this way of working.

What you'll own

1. Discovery - Learn how the customer makes money. Find the highest value problem to solve first.
2. The prototype - Build a working prototype fast, using real or sample data, to prove the idea.
3. The roadmap - Decide what to build, in what order, and set clear success measures tied to business outcomes.
4. The build - Design and ship the production system with the Hyderabad engineering team. This includes data integration, agents, retrieval, and evaluations.
5. The client relationship - Be the trusted technical contact for the customer, from engineers to senior leaders.
6. Go live and after - Deploy the system, watch how it performs, fix problems, and improve it over time.
7. Feedback to the product - Share what you learn in the field so our platform and internal tools get better.

What we are looking for

1. Around 7 or more years of software engineering experience, including customer-facing or client delivery work.
2. Experience working at a consulting or professional services firm in a client-facing delivery role.
3. A full-stack development experience with strength in backend technologies.
4. Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
5. Production experience with large language models, including prompt engineering and agent development.
6. You build with AI coding tools like Claude Code as your default way of working. You have built real apps and agents this way, not just used it for document generation or review.
7. Experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
8. Experience building and deploying AI systems.
9. Experience integrating with APIs and enterprise systems.
10. Experience with at least one cloud platform (AWS, Azure, or GCP).
11. Experience building evaluations to measure accuracy, safety, latency, and cost.
12. Clear communication. You can explain a technical choice to an engineer and to a business leader.
13. High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a plan.
14. Willingness to work onsite at client locations in India for extended periods, and to travel as the work needs.

Nice to have

1. Experience deploying AI systems in regulated industries such as insurance, banking, or the public sector.
2. Experience with on-premises or private cloud (VPC) deployments.
3. Experience with observability and tracing tools such as LangSmith or Braintrust.
4. Experience with data engineering and pipelines.
5. A history of side projects, open source contributions, or products you shipped end-to-end.
6. Experience in embedded or forward-deployed roles before.

Stack and tools

1. Languages: Python and TypeScript.
2. Models: Claude and other frontier or open source models, chosen to fit the customer.
3. AI patterns: RAG, agents, prompt engineering, and evaluations.
4. Vector and retrieval: vector databases and retrieval pipelines.
5. Cloud: AWS, Azure, or GCP, on public or private cloud.
6. Integration: REST APIs and enterprise system connectors.

Skills Referential (Required knowledge, skills and abilities)

Technical Skills:

Python

Pyspark

SQL

ETL Aws, Azure, gcp

Job Title: Data Engineer – PySpark | Oracle | GCP

Experience: 5–7 Years

Location: Hyderabad

Notice Period: Immediate Joiners Preferred

Job Summary

We are seeking an experienced Data Engineer with strong expertise in PySpark, Oracle, and Google Cloud Platform (GCP) to design, develop, and optimize scalable data pipelines. The ideal candidate should have hands-on experience in ETL development, data integration, and cloud-based data engineering solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/data pipelines using PySpark.
• Extract, transform, and load data from Oracle databases into GCP environments.
• Build and optimize batch data processing workflows for high performance and reliability.
• Develop data engineering solutions using GCP services.
• Ensure data quality through validation, monitoring, and troubleshooting.
• Optimize SQL queries and ETL jobs for performance and scalability.

Required Skills

• 5–7 years of experience as a Data Engineer.
• Strong hands-on experience with PySpark.
• Solid experience with Oracle Database and advanced SQL.
• Hands-on experience with Google Cloud Platform (GCP).
• Strong understanding of ETL processes and data warehousing concepts.

Work Location: Hyderabad

Notice Period: Immediate Joiners Preferred

Roles & Responsibilities:

• Provide L1 support for Azure and GCP cloud infrastructure, monitoring alerts and tickets
• Perform initial triage and troubleshooting of incidents related to VMs, storage, networking, and IAM
• Escalate unresolved issues to L2/L3 teams with proper documentation
• Monitor cloud resource health using native tools (Azure Monitor, GCP Cloud Monitoring/Stackdriver)
• Handle basic user access requests, password resets, and permission changes
• Maintain incident logs and update ticketing systems (ServiceNow/Jira, etc.)
• Follow standard operating procedures (SOPs) and runbooks for common issues
• Support patching, backup verification, and routine maintenance tasks
• Ensure SLAs are met for ticket response and resolution at L1 level

Required Skills:

• 2–4 years of hands-on experience in Azure administration/support
• Candidate should have exposure in product based company
• Working knowledge of GCP services (Compute Engine, Cloud Storage, IAM, VPC)
• Familiarity with ticketing tools and incident management processes
• Basic understanding of networking concepts (DNS, VPN, firewalls)
• Good communication skills for shift handovers and escalations
• Willingness to work in rotational shifts (24x7 support environment, if applicable)

Preferred Certifications:

• Microsoft Certified: Azure Fundamentals (AZ-900) / Azure Administrator Associate (AZ-104)
• Google Associate Cloud Engineer (preferred, not mandatory)

About the Role

We are looking for a hands-on Principal Engineer who owns enterprise integration architecture from end to end — from the first whiteboard sketch through production delivery and ongoing governance. This is not a management role, and it is not a specialist role. We are not looking for an Angular architect, a Java architect with cloud exposure. We need a true Full Stack Integration Architect who has designed, built, and governed how large-scale enterprise systems connect, communicate, and operate reliably at scale.

You will be expected to go deep on integration design, backend engineering, data architecture, cloud infrastructure, and front-end development — and to defend every decision under rigorous technical scrutiny. If your experience is anchored in one layer or one language, this is not the right opportunity.

What You Will Own

• End-to-end integration architecture across cloud platforms (AWS, Azure, GCP), on-premises systems, and third-party services — designed, delivered, and governed by you
• Definition and enforcement of integration patterns across the enterprise: API-first, microservices, event-driven, and real-time and batch processing
• Seamless data flow, application interoperability, and fault tolerance across mission-critical platforms
• Quality and testing strategy across integrated solutions — automation frameworks, release readiness, validation, and quality governance
• Full-stack engineering across all layers: front-end, backend services, data, and cloud infrastructure
• GenAI and LLM integration into production-grade digital platforms
• Technical mentorship across engineering levels and cross-team architectural influence
• Clear communication of complex architectural decisions to both engineering teams and business stakeholders

What You Must Have

• 15+ years of hands-on software engineering experience with a strong track record in enterprise-scale distributed systems
• Proven end-to-end integration architecture experience — you have designed, governed, and delivered enterprise integrations across complex, heterogeneous environments; not just implemented someone else's design
• Genuine full-stack depth across all layers:
• Front-end: Angular, TypeScript
• Backend: Java, Python, Go, or Node.js — at least one deeply, others functionally
• Data: SQL, NoSQL, caching (Redis), event streaming platforms
• Strong database knowledge in both theory and practice — relational, NoSQL, distributed data, and streaming
• Cloud-native hands-on experience across at least one of AWS, Azure, or GCP — Kubernetes, Docker, and Infrastructure as Code (Terraform) are expected
• CI/CD pipeline experience tied to enterprise release cycles and quality governance
• The ability to clearly articulate the technical design, tradeoffs, and problem-solving approach behind your own recent work — this will be probed in depth during interviews

Integration & API Technologies

You should have hands-on experience across several of the following:

REST · GraphQL (Apollo Federation or similar) · gRPC · Kafka or equivalent event streaming · Microservices architecture · Event-driven architecture · B2B and internal system integrations · Real-time and batch integration patterns

What Will Strengthen Your Profile

• GCP-native database experience: BigQuery, Spanner, Bigtable
• Production-grade GenAI or LLM integration — not just prototypes or proof of concepts
• Experience with AI development tools: Cursor, GitHub Copilot, Vertex AI Studio, Claude Code
• Healthcare or regulated-industry platform experience
• MLOps or AI lifecycle management
• Identity, security, and privacy architecture at enterprise scale
• Observability tooling: Datadog, Prometheus, Grafana

Do Not Apply If

• You are primarily an Angular Architect, a Java architect, or strong in one layer only — this role demands genuine end-to-end depth across the full stack
• You cannot walk through the architecture, implementation decisions, and tradeoffs of your own recent projects with technical precision
• You have not designed or governed integrations at enterprise scale across distributed, heterogeneous systems
• Your backend, database, or integration experience is surface-level, theoretical, or limited to a single technology

Why This Role

This role carries real architectural authority at a large enterprise. You will set integration direction across business-critical platforms, influence engineering standards, and solve problems that matter at significant scale. The technical bar is deliberately high — because the impact is real.

About us

EDMO is an AI-powered company that provides enrollment-centric solutions to universities,

colleges, and higher education institutions. By streamlining repetitive tasks—such as document verification, transcript evaluation, SOP/essay reviews, and applicant matching.

EDMO enables its clients to process student applications faster and more accurately. Its intelligent workflows

not only reduce administrative workload but also empower admission advisors to focus on personalized guidance and student engagement.

With features like AI-powered chatbots, Photo ID verification, GPA calculator, and transfer credit evaluation, EDMO ensures transparency and efficiency across the enrollment journey. Institutions using EDMO services report significant time savings, improved decision-making, and

enhanced student satisfaction.

At its core, EDMO is built to reimagine & streamline admissions—making them smarter, quicker, and more human-centric.

Website - https://goedmo.com/

Position Overview

We're seeking an exceptional Lead Software Engineer / Senior Tech Lead who can energize and guide a team of brilliant engineers while driving rapid, high-quality product development using AI and innovative technologies. The ideal candidate brings deep full-stack and backend

engineering expertise combined with strong leadership capability and a hands-on approach to architecture and delivery.

Key Responsibilities

• Lead and mentor a team of 5–8 senior engineers across AI, Salesforce, and full-stack development

• Drive technical strategy and architectural decisions — including backend, API design, and system design — for EDMO's product portfolio

• Own and evolve backend architecture using Node.js / NestJS and front-end solutions in React or Angular

• Define and implement telemetry, observability, and monitoring standards (logging,tracing, alerting) across services

• Foster a culture of innovation, continuous learning, and technical excellence

• Manage sprint planning, code reviews, and technical delivery timelines

• Collaborate closely with product management and design teams

• Guide technical hiring and team scaling decisions

• Ensure code quality, security, and performance standards

• Lead technical discussions with university clients and stakeholders

• Drive adoption of best practices, tools, and development methodologies

Required Qualifications

Experience & Leadership

• 8+ years of software development experience with 3+ years in technical leadership roles

• Must have: Proven track record of leading high-performing technical teams

• Must have: Experience energizing and motivating senior engineers to achieve exceptional results

• Experience with Agile/Scrum methodologies and DevOps practices

• Excellent communication skills with ability to translate technical concepts to non-technical stakeholders

• Experience with performance management, career development, and team building

• Strong problem-solving skills and ability to make decisions under pressure

Technical Stack — Must Have

• Node.js and NestJS — production-grade backend services, microservices, and API design

• TypeScript — Good Have

• React or Angular — front-end development and component architecture

• Backend and system architecture — designing scalable, maintainable, distributed

systems

• Telemetry & monitoring — hands-on experience with logging frameworks, distributed tracing (e.g. OpenTelemetry, Datadog, New Relic, or similar), and alerting pipelines

• Cloud platforms — GCP preferred; AWS or Azure acceptable

• Databases — PostgreSQL, MongoDB, or equivalent; Redis for caching/queuing

• CI/CD — GitHub Actions, Cloud Build, or equivalent pipelines

Additional Technical Background

• Strong background across multiple domains: AI/ML integration, web development, cloud- native architecture• Microservices patterns, API gateway design, event-driven architectures

Preferred Qualifications

• Experience in EdTech, SaaS, or B2B technology companies

• Background in AI/ML or emerging technologies

• Experience scaling engineering teams from startup to growth stage

• Knowledge of the Salesforce ecosystem and integrations

• GCP certifications or demonstrated GCP production experience (Cloud Run, Pub/Sub, BigQuery, GKE)

• Experience building and operating observability stacks (dashboards, SLOs, on-call runbooks)

• MBA or advanced degree in technology or business

• Track record of successful product launches and customer implementations

• Experience working with US-based clients and distributed teams

Leadership Philosophy We Seek

• Servant Leadership: Empowering team members to achieve their best work

• Technical Excellence: Setting high standards while maintaining development velocity

• Growth Mindset: Continuously learning and helping others grow

• Results-Oriented: Delivering measurable business outcomes through technology

• Cultural Builder: Creating an inclusive, innovative, and collaborative team environment

Growth Opportunities

• Path to VP of Engineering

• Opportunity to build and scale EDMO's India engineering organization

• Lead major strategic partnerships and technical initiatives

• Drive innovation in AI-powered educational technology

Strong Senior Solution Architect – Google Cloud (AI / Enterprise Architecture) Profile

2

Mandatory (Experience 1) – Must have minimum 8+ years of experience in Enterprise Solution Architecture, Cloud Architecture, or Solution Consulting, with experience designing enterprise-scale cloud transformation initiatives.

3

Mandatory (Experience 2) – Must have 5+ years hands-on experience designing and delivering Google Cloud-based enterprise solutions, with strong expertise across the Google Cloud ecosystem.

4

Mandatory (Experience 3) – Must have hands-on experience architecting AI/Generative AI solutions using Vertex AI and Gemini Enterprise, including enterprise AI adoption, AI platform design, or AI application architecture.

5

Mandatory (Experience 4) – Strong expertise in BigQuery for enterprise data platforms, analytics architecture, and modern data engineering solutions.

6

Mandatory (Experience 5) – Must have experience designing cloud-native architectures using GKE (Google Kubernetes Engine), Cloud Run, and AlloyDB, with strong understanding of scalability, security, and production deployments.

7

Mandatory (Experience 6) – Must have experience leading enterprise architecture engagements, customer discovery workshops, AI strategy sessions, and translating business requirements into scalable technical solutions.

8

Mandatory (Experience 7) – Proven experience collaborating with Sales, Delivery, Customer Success, and Business Stakeholders, providing technical leadership throughout pre-sales, solution design, and implementation.

9

Mandatory (Certification) – Must hold a valid Google Professional Cloud Architect Certification.

10

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 2 weeks.

We are looking for a Full Stack Developer who is eager to kickstart their career in software development. This role offers a fantastic opportunity to grow by working closely with experienced engineers on real product features that impact thousands of learners. Click "Apply Now" in https://gosuperedtech.com/career/senior-fullstack-developer to apply

Hiring Alert – Java Full Stack with Python | Noida | FTE with Client

We are hiring for the below opportunity:

Role: Java Full Stack Developer with Python

Employment Type: Full-Time (FTE) with Client

Location: Noida

CTC: ₹30–35 LPA + 10% Variable (Maximum budget; non-negotiable)

Notice Period: Immediate joiners or candidates with up to 30 days' notice only

Mandatory Skills

• Strong experience in Java
• Full Stack development experience
• Good hands-on experience with Python
• Relevant experience in modern backend and frontend technologies

Selection Process

1. Online Assessment Test (mandatory)
2. Candidates who clear the assessment will be invited for an In-Person/Face-to-Face Interview.

Interview Date: Saturday, 8th August

Interview Location: Noida (Candidates must be available to attend in person.)

Important Notes

• Candidates must be willing to take the assessment before the interview.
• Salary expectations should be within the mentioned budget (₹30–35 LPA + 10% Variable, non-negotiable).
• Only immediate joiners or candidates serving a notice period of 30 days or less will be considered.

Please share suitable profiles after confirming:

• Current CTC
• Expected CTC (within budget)
• Notice Period
• Willingness to take the assessment
• Availability for the Face-to-Face interview in Noida on Saturday, 8th August

Greetings from NAM Info Pvt Ltd,

Job Title: GCP DevOps Engineer

Location: Bangalore

Experience: 6+ Years

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

Job Description:

We are looking for a GCP DevOps Engineer with hands-on experience in Google Cloud Platform and DevOps tools. The ideal candidate should have experience in CI/CD, cloud infrastructure, automation, and container technologies.

Required Skills:

• Experience with Google Cloud Platform (GCP)
• Knowledge of CI/CD tools such as Jenkins or GitLab CI
• Experience with Docker and Kubernetes (GKE preferred)
• Infrastructure as Code using Terraform
• Good knowledge of Linux and Shell scripting
• Experience with Git version control
• Monitoring tools such as Prometheus or Grafana is a plus
• Good troubleshooting and communication skills

JOB DESCRIPTION - Software Engineer / Core Engineer

Java Full Stack Developer with GCP

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

Positions: Software Engineer / Core Engineer

Experience: 6+ Years IT Experience, with 4+ Years in Software Development [Ideal: 6-10 Years]

Education: Bachelor's Degree

Employment Type: Full-Time

Role Summary

This is a Java Full Stack Developer role with GCP as mandatory requirement, where Java, Spring Boot, Angular, and GCP are non-negotiable. You will be part of Core Engineering building cloud-native, scalable full-stack platforms.

Mandatory Skills

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

Preferred Skills

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

Roles & Responsibilities

1. Design, develop, test, and deploy full-stack applications end-to-end.
2. Build scalable REST APIs and Microservices architecture.
3. Develop responsive Angular-based UI applications.
4. Design software architecture and cloud-native solutions.
5. Work on GCP deployments and cloud migration projects.
6. Follow Agile, TDD, CI/CD, and DevOps practices.
7. Collaborate with Product Owners, Architects, UI/UX teams, and other stakeholders.
8. Ensure application security, performance optimization, and code quality.

Ideal Candidate Profile

• 6-10 years of experience with strong hands-on coding.
• Strong expertise in Java, Spring Boot, Angular, and GCP.
• Hands-on experience with Microservices, REST APIs, CI/CD pipelines, and cloud deployment.
• Good communication skills and experience working in Agile teams.
• Willing to work WFO from Sholinganallur, Chennai.

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

Great engineers aren’t built by watching.

They’re built by solving real problems.

At AbleCredit, interns don’t work on toy projects or isolated assignments. From your first few weeks, you’ll contribute to production systems used by enterprise customers, collaborate with experienced engineers, and learn what it takes to build reliable software at scale.

If you’re curious, enjoy building things, and want to accelerate your engineering career, we’d love to work with you.

What You’ll Build?

As an Engineering Intern, you’ll work alongside our engineering team to build and improve products used by real customers.

Depending on your interests and the team’s priorities, you’ll:

● Build backend services, APIs, and platform features.

● Develop user-facing features across our web applications.

● Work with databases, cloud services, and third-party integrations.

● Debug production issues and improve system reliability.

● Participate in code reviews and technical design discussions.

● Write clean, maintainable, and well-tested code.

● Learn how modern software is designed, built, deployed, and monitored.

Your work won’t be a demo project—it will ship to production.

What We’re Looking For?

We’re looking for people who enjoy solving problems more than collecting technologies on their résumé.

You’ll likely succeed if you:

● Are pursuing or have recently completed a Bachelor’s or Master’s degree in Computer Science or a related field.

● Have strong programming fundamentals and problem-solving skills.

● Understand data structures, algorithms, and object-oriented programming.

● Are comfortable with at least one programming language such as JavaScript, TypeScript, Python, Java, or Go.

● Understand the basics of databases, REST APIs, and Git.

● Learn quickly and enjoy exploring unfamiliar technologies.

● Communicate clearly and work well in a collaborative environment.

Bonus Points:

Experience with any of these is helpful but not required:

● Node.js, FastAPI, Spring Boot, or Django

● React and modern frontend development

● SQL and NoSQL databases

● AWS, GCP, or Azure

● Docker, Kubernetes, or CI/CD

● AI, LLMs, or workflow automation

Don’t worry if you haven’t worked with everything on this list. We care more about your ability to learn than your current toolkit.

What You’ll Learn?

During your internship, you’ll gain practical experience with:

● Building production software

● Backend engineering and API design

● Modern web application development

● Cloud infrastructure

● Distributed systems and asynchronous workflows

● Software testing and debugging

● Git-based development workflows

● Code reviews and engineering collaboration

You’ll also learn how engineering teams operate inside a fast-moving startup—from

turning ideas into products to shipping features used by customers.

Why Join AbleCredit?

You’ll join a small, high-ownership engineering team where your contributions matter from day one.

You’ll have the opportunity to:

● Build software used by real enterprise customers.

● Receive mentorship from experienced engineers.

● Learn modern engineering practices and tools.

● Work across the backend, frontend, and cloud stack.

● Take ownership of meaningful features instead of isolated tasks.

● Convert your internship into a full-time engineering role based on your

performance and available opportunities.

We Think You’ll Enjoy This Role If...

● You build side projects because you enjoy learning.

● You like understanding how systems work—not just using them.

● You’re excited to write code that reaches production.

● You ask questions, experiment, and learn quickly.

● You want an internship where you’ll build, not just observe.

Role Summary 

The GCP Delivery Lead is responsible for driving the technical vision, architecture, and delivery of enterprise-scale solutions on Google Cloud Platform (GCP). This role combines deep technical expertise with strong delivery leadership and customer engagement capabilities, working closely with clients, Google teams, and internal stakeholders. 

Key Responsibilities 

Technical Leadership 

• Define and own GCP solution architecture and technical strategy for client engagements 
• Design scalable, secure, and resilient cloud-native architectures 
• Establish architecture standards, best practices, and reusable frameworks 
• Provide governance and oversight across multiple programs 

Delivery Leadership 

• Ensure successful delivery of cloud transformation and modernization initiatives 
• Conduct architecture reviews, risk assessments, and quality assurance 
• Guide engineering teams through complex implementations 
• Ensure solutions meet performance, security, and scalability standards 

Google Partnership & Pre-Sales 

• Act as primary technical interface with Google Cloud teams 
• Support joint solutioning, co-selling, and client workshops 
• Contribute to proposals, solution design, and executive presentations 

AI & Data Solutions 

• Lead enterprise AI, GenAI, and data platform architecture on GCP 
• Drive adoption of Vertex AI, BigQuery, and modern AI/ML platforms 
• Advise clients on AI strategy, transformation, and innovation 

Practice Development 

• Build and mentor high-performing architecture and engineering teams 
• Drive certifications, capability building, and hiring initiatives 
• Create accelerators, reusable assets, and reference architectures 
• Contribute to practice growth and go-to-market strategies 

Required Qualifications 

Experience 

• 12+ years in cloud architecture, software engineering, or consulting 
• 5+ years of hands-on GCP architecture and delivery experience 
• Proven track record in large-scale cloud transformation programs 
• Experience managing multi-client and multi-program delivery 

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML).
• 7 years of software experience designing and deploying large-scale AI/ML applications and complex models.
• Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management.
• Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps.
• Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform.
• Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge.

About the job

The People Operations Engineering team is dedicated to building innovative and scalable technology solutions that empower a global workforce. Leveraging the power of data, AI, and machine learning, the team optimizes HR processes, enhances employee experiences, and drives organizational efficiency. Joining this team offers the opportunity to lead the application of AI to solve complex, real-world business challenges.

We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad.

In this role, you will serve as a technical leader, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact employees across the organization. You will work on large-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional stakeholders, and help shape the future of HR through innovative AI applications. You will be responsible for translating complex business challenges and strategic objectives into scalable, efficient AI/ML systems.

As part of the Corporate Engineering organization, you will build world-class business solutions that support a global enterprise. The team delivers end-to-end platforms, tools, and experiences that enable employees to work more effectively and drive innovation across the organization.

Responsibilities

• Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain, ensuring high reliability, performance, and long-term sustainability.
• Drive the development of advanced AI/ML algorithms for HR applications such as talent acquisition and employee engagement using Python and frameworks like TensorFlow and JAX.
• Architect large-scale data pipelines for data ingestion, cleaning, and feature engineering using modern data processing frameworks (e.g., Beam, Dataflow), while leading root cause analysis and system troubleshooting.
• Own the end-to-end MLOps lifecycle, including model deployment, monitoring, optimization, and maintenance, while establishing best practices for software development and code quality.
• Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions, mentor engineers, and drive the adoption of emerging AI technologies across the organization.

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

Key Responsibilities

• Performance Testing: Design and execute large-scale strategies using Apache JMeter.
• CI/CD Integration: Embed performance testing into pipelines and automate workflows.
• Observability: Lead monitoring initiatives with Dynatrace.
• AI Insights: Leverage Davis AI for anomaly detection, insights, and root cause analysis.
• Automation Frameworks: Build frameworks for testing, reporting, and quality gates.
• Bottleneck Resolution: Diagnose and resolve issues across applications, APIs, databases, middleware, and infrastructure.
• ML Applications: Apply ML for workload modelling, traffic forecasting, and optimization.
• Collaboration: Partner with Dev, DevOps, Cloud, and Architecture teams.
• Governance: Define standards, best practices, and governance.
• Leadership: Mentor engineers and provide technical leadership.
• Executive Reporting: Present findings and recommendations to stakeholders.

Observability & Monitoring

• Strong hands-on experience with Dynatrace.
• Proven use of Davis AI in production.
• Expertise in APM, Observability, Root Cause Analysis, and Performance Diagnostics.

Automation & AI

• Experience developing Performance Automation frameworks.
• Proficiency in Python scripting.
• Applying AI/ML for traffic prediction, load simulation, workload modelling, and performance optimization.

Cloud & Infrastructure

• Strong experience with AWS, Azure, or GCP.
• Expertise in JVM tuning, database optimization, API performance analysis, and infrastructure monitoring.

Good-to-Have

• Experience with Gatling, k6, or LoadRunner.
• Exposure to Grafana and OpenTelemetry.
• Experience with Kubernetes Performance Tuning.
• Dynatrace certifications.
• Client-facing consulting or professional services background.

Lightning Job By Cutshort ⚡

As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)

Job Overview:

We are seeking an experienced DevOps Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the infrastructure and software systems required to support our development and production environments. The ideal candidate should have a strong background in Linux, GitHub, Actions/Jenkins, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.

Responsibilities:

• Design, implement and maintain CI/CD pipelines using GitHub, Actions/Jenkins, Kubernetes, Helm, and ArgoCD.

• Deploy and manage Kubernetes clusters using AWS.

• Configure and maintain Envoy Proxy and Cert-Manager to automate deployment and manage application environments.

• Monitor system performance using Datadog, ELK, and Cloudflare tools.

• Automate infrastructure management and maintenance tasks using Terraform, Ansible, or similar tools.

• Collaborate with development teams to design, implement and test infrastructure changes.

• Troubleshoot and resolve infrastructure issues as they arise.

• Participate in on-call rotation and provide support for production issues.

Qualifications:

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

• 4+ years of experience in DevOps engineering with a focus on Linux, GitHub, Actions/CodeFresh, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.

• Strong understanding of Linux administration and shell scripting.

• Experience with automation tools such as Terraform, Ansible, or similar.

• Ability to write infrastructure as code using tools such as Terraform, Ansible, or similar.

• Experience with container orchestration platforms such as Kubernetes.

• Familiarity with container technologies such as Docker.

• Experience with cloud providers such as AWS.

• Experience with monitoring tools such as Datadog and ELK.

Skills:

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.

• Ability to work independently or in a team environment.

• Strong attention to detail.

• Ability to learn and apply new technologies quickly.

• Ability to work in a fast-paced and dynamic environment.

• Strong understanding of DevOps principles and methodologies.

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

🚀 Hiring: Solution Architect | 6–9 Years | Hyderabad / Pune | Europe Shift

Experience: 6–9 Years

Location: Hyderabad / Pune (Remote/Hybrid)

Shift: Europe Time Zone (Mandatory)

Notice Period: Immediate to 30 Days Preferred

About the Role

P99Soft is looking for an experienced Solution Architect to design and deliver scalable enterprise solutions across Cloud, AI, Data, Salesforce, and SaaS technologies. The role involves working closely with customers, engineering, and delivery teams to drive AI-first and cloud-native transformation initiatives.

Key Responsibilities

• Design end-to-end enterprise solution architectures.
• Translate business requirements into scalable technical solutions.
• Lead technical discovery workshops and customer discussions.
• Define integration, security, scalability, and deployment strategies.
• Guide engineering teams and review technical designs.
• Prepare solution proposals, architecture documents, and effort estimates.
• Drive innovation in Cloud, AI, and SaaS technologies.

Required Skills

• AWS: EC2, Lambda, ECS/EKS, API Gateway, RDS, DynamoDB, S3, IAM, VPC, CloudFormation/Terraform
• Data: Data Lakes, ETL/ELT, Snowflake, Redshift, Databricks (Preferred)
• AI/GenAI: LLMs, RAG, AI Agents, Prompt Engineering, OpenAI/Amazon Bedrock
• Architecture: Microservices, REST APIs, Kubernetes, Docker, CI/CD, DevSecOps
• Strong customer-facing consulting, communication, and solutioning experience.

Applicants must read the JD and understand the JD throughly

Job Title: Database & DevOps Engineer

Location: Chennai, Tamil Nadu (On-site/Hybrid)

Experience: 2+ years -

Job Summary

We are looking for a skilled Database & DevOps Engineer with 2+ years of hands-on experience in database administration, cloud infrastructure, CI/CD pipelines, automation, and AI application deployment. The role involves managing database and infrastructure environments, automating deployments, supporting AI/LLM workloads, and ensuring high availability, security, performance, and scalability.

Key Responsibilities

Database Management

• Install, configure, monitor, and maintain SQL and NoSQL databases.

• Manage database backup, recovery, replication, and disaster recovery.

• Optimise performance through indexing, query tuning, and monitoring.

• Ensure database security, integrity, and availability.

• Troubleshoot database issues and provide timely resolutions.

DevOps, Infrastructure & AI Operations

• Design, implement, and maintain CI/CD pipelines.

• Automate infrastructure provisioning using Infrastructure as Code tools.

• Deploy and manage applications across cloud and on-premises environments.

• Configure and maintain containerised applications using Docker and Kubernetes.

• Deploy and support AI/ML, LLM, RAG, and agentic AI applications.

• Configure and manage GPU-enabled infrastructure for AI workloads.

• Support model serving, vector databases, and AI application APIs.

• Monitor application, infrastructure, and AI-service performance, including availability, latency, resource utilization, and failures.

• Maintain Linux servers and automate routine operational tasks.

• Implement secure management of credentials, secrets, model endpoints, and data access.

• Collaborate with development and AI teams to streamline deployment and release processes.

Mandatory Skills

• 2+ years of hands-on experience in Database Administration and DevOps.

• Strong knowledge of MySQL, PostgreSQL, Microsoft SQL Server, and MongoDB.

• Experience with database backup, restoration, replication, indexing, query optimization, and performance monitoring.

• Hands-on experience with Git and CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.

• Experience with Docker and Kubernetes.

• Experience with AWS, Azure, or GCP.

• Knowledge of Terraform and Ansible.

• Strong Linux administration and shell-scripting skills.

• Experience with Prometheus, Grafana, ELK Stack, or Nagios.

• Working knowledge of networking, security, SSL/TLS, and load balancing.

• Understanding of LLMs, RAG, embeddings, vector databases, and agentic AI architecture.

• Experience deploying Python-based AI/ML services and APIs.

• Familiarity with model-serving tools such as llama.cpp, vLLM, Ollama, Hugging Face, or equivalent.

• Knowledge of GPU-enabled environments, NVIDIA drivers, CUDA, and containerized AI deployment.

• Understanding of AI/LLM observability, model versioning, security, scaling, and rollback.

• Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.

• Cloud, DevOps, Linux, database, or Kubernetes certifications are an advantage.

Technical Stack

• Databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB and vector databases

• Cloud: AWS, Azure, GCP.

• CI/CD: Jenkins, GitLab CI/CD, Azure DevOps

• Containers and IaC: Docker, Kubernetes, Terraform, Ansible

• Monitoring: Prometheus, Grafana, ELK Stack, Nagios

• AI Infrastructure: Python APIs, LLM serving, RAG, embeddings, vector search, GPU/CUDA

• Operating Systems: Linux—Ubuntu, CentOS, Red Hat

Soft Skills

• Excellent communication and collaboration skills.

• Strong ownership and accountability.

• Ability to work effectively in a fast-paced Agile environment.

• Proactive approach to troubleshooting and continuous improvement.

• Ability to manage multiple priorities and deliver on time.

Job Summary

We are seeking a highly skilled GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), Python, ETL, and modern data engineering technologies. The ideal candidate should have hands-on experience designing and building scalable data pipelines using BigQuery, Dataflow, Pub/Sub, Airflow, and modern data lake technologies such as Apache Iceberg or Delta Lake.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
• Build and optimize data processing workflows using Python and Google Cloud Dataflow (Apache Beam).
• Develop and manage large-scale analytical data models in BigQuery.
• Implement event-driven data ingestion using Google Cloud Pub/Sub.
• Create, schedule, and monitor workflows using Apache Airflow and Autosys.
• Design and implement modern data lake architectures using Apache Iceberg or Delta Lake.
• Optimize query performance, storage, and compute costs in GCP.
• Ensure data quality, governance, security, and compliance across data platforms.
• Collaborate with Data Scientists, Analysts, and Application teams to deliver scalable data solutions.
• Troubleshoot production issues and continuously improve pipeline reliability and performance.

Mandatory Skills

• Strong hands-on experience with Google Cloud Platform (GCP).
• Proficiency in Python programming.
• Experience in designing and implementing ETL/ELT pipelines.
• Strong knowledge of BigQuery.
• Experience with Google Cloud Dataflow (Apache Beam).
• Experience with Google Cloud Pub/Sub.
• Hands-on experience with Apache Airflow.
• Experience in job scheduling using Autosys.
• Experience with modern table formats such as Apache Iceberg or Delta Lake.
• Strong SQL and data modeling skills.

Preferred Skills

• Experience with Cloud Storage, Dataproc, Cloud Composer, and Cloud Functions.
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with Docker and Kubernetes.
• Familiarity with Git and Agile/Scrum methodologies.
• Knowledge of data warehousing and dimensional modeling.
• Exposure to streaming and real-time data processing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 4–8+ years of experience in Data Engineering with hands-on expertise in GCP technologies.

Required Experience

• Strong experience in developing enterprise-grade data pipelines using Python and GCP.
• Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Airflow.
• Experience scheduling and monitoring batch workflows using Autosys.
• Experience implementing modern data lake architectures using Apache Iceberg or Delta Lake.
• Strong understanding of ETL best practices, performance tuning, and data optimization.
• Excellent analytical, troubleshooting, and problem-solving skills.

Mandatory Skills

• Google Cloud Platform (GCP)
• Python
• ETL
• BigQuery
• Autosys
• Apache Airflow
• Google Cloud Pub/Sub
• Google Cloud Dataflow (Apache Beam)
• Apache Iceberg / Delta Lake
• SQL & Data Modeling

About the Role

CLOUDSUFI, a Google Premium Partner specializing in data and AI solutions, is seeking a Staff / Principal Tech Lead to drive the technical execution of our Google Data Commons program. This is a high-visibility, horizontal leadership role embedded within the Google ecosystem — based physically at Google's Bangalore office — working in close daily collaboration with Google's core Data Commons engineering team. The Tech Lead is the technical spine of the engagement. They sit across all four delivery areas — Data Engineering, Frontend, ML/AI, and DevOps/Infrastructure — providing architectural direction, resolving cross track dependencies, and ensuring the quality and coherence of everything we ship. Equally critical is the ability to represent CloudSufi in a credible, articulate, and collaborative manner to Google counterparts at every level.

This is a genuinely hands-on role: the successful candidate must be able to write, debug, and reason about Python and GCP code themselves — not only direct others or lean on AI coding assistants — and must be comfortable operating in an open-source, public-data environment without relying, for example, on Google internal (google3) tooling.

Technology Stack & Domain Knowledge

Core / Must-Have

• Relevant experience on Knowledge Graph, Statistical Data and Analytics (any experience with Google Data Commons is a nice to have, but not required)

• Google Cloud Spanner – schema design, distributed transactions, interleaved tables, and performance tuning at scale.

• Google BigQuery – data modeling, partitioning/clustering strategies, query optimization, and integration with downstream consumers.

• Data pipelines – Apache Beam / Dataflow, or equivalent GCP-native ETL tooling.

• Infrastructure as Code – Terraform on GCP; Cloud Build, Artifact Registry, GKE or Cloud Run.

• Demonstrable, autonomous hands-on proficiency in Python and native GCP tooling — able to code and debug independently in a live technical discussion, with AI-assisted development as a complement to (not a replacement for) that proficiency.

• Direct experience working with open, public, and unstructured datasets (e.g. sourcing, cleaning, and integrating public statistics or open data feeds) using open-source or standard GCP-native tooling.

• Solid grounding in knowledge graph vs data warehouse principles, and how to design for schema and data drift in an open-source knowledge graph context.

• CI/CD experience and working with GitHub

• Full stack experience, specially with data centric apps/systems Strong Advantage

• Python (primary language for Data Commons import tooling and ML pipelines).

• TypeScript / React for the Data Commons web frontend and visualization layers.

• Vertex AI, BigQuery ML, or equivalent ML lifecycle tooling.

• Knowledge graph principles, RDF/SPARQL, or statistical data modeling.

• DataCommons Python / REST APIs and the DCID import automation tools.

• Experience with Google's internal engineering culture, tools (e.g. Buganizer, Critique, Cider), or prior delivery inside a Google product or partnership engagement.

Experience & Qualifications Required

• 10+ years of software engineering experience, with at least 3 years in a formal or informal tech lead capacity overseeing multiple workstreams.

• Demonstrable experience delivering production-grade systems on Google Cloud Platform.

• Prior experience working with or for Google — as a Googler, through a Google partnership program, or as a contractor embedded in a Google team — is strongly preferred.

• Exceptional verbal and written English communication skills; able to engage confidently with senior Google engineers and program managers.

• Proven ability to operate across ambiguous, fast-moving programs with multiple parallel tracks.

• Based in Bangalore, India, and able to work on-site at Google's Bangalore office on a regular basis.

• Able to read and interpret an RFP / SOW and connect its terms to a workable technical delivery plan. 

Job Title: AI & Automation Engineer

Experience: 3–5 Years

Employment Type: Full-time

Location: On-site

About the Role

We are looking for a passionate and hands-on AI & Automation Engineer to build intelligent automation solutions that improve efficiency and drive business scalability. In this role, you will design and develop automated workflows, build web scrapers and data pipelines, integrate AI/LLM APIs, and create smart systems that eliminate repetitive manual processes.

This position is ideal for someone who enjoys solving real-world business problems using automation, scripting, machine learning, and artificial intelligence technologies.

Key Responsibilities

Design, develop, and maintain automation workflows using platforms such as n8n, Make (Integromat), Zapier, and custom scripts.

Build automation solutions using Python and Google Apps Script for Google Workspace applications, including Google Sheets, Docs, Forms, and Gmail.

Develop and maintain web scraping solutions and data extraction pipelines using tools such as BeautifulSoup, Scrapy, Playwright, or Puppeteer, while adhering to ethical and legal guidelines.

Apply AI and Machine Learning techniques for classification, prediction, data enrichment, document processing, and content generation.

Integrate LLM APIs such as OpenAI, Anthropic Claude, and other AI services into internal tools and automated workflows.

Develop integrations between SaaS platforms, CRMs, databases, spreadsheets, and third-party APIs.

Analyze existing business processes and design end-to-end automation solutions that improve operational efficiency.

Design, manage, and optimize SQL/NoSQL databases supporting automation workflows.

Monitor, troubleshoot, and maintain automation systems to ensure high reliability, scalability, and performance.

Implement proper logging, error handling, monitoring, and documentation for all automation solutions.

Collaborate with cross-functional teams to identify automation opportunities and deliver scalable AI-powered solutions.

Required Skills & Qualifications

Bachelor's degree in Computer Science, Information Technology, B.E., B.Tech, BCA, MCA, or equivalent practical experience.

3–5 years of experience in automation engineering, scripting, AI integration, or related technical roles.

Strong proficiency in Python and/or Google Apps Script.

Hands-on experience with automation platforms such as n8n, Make (Integromat), Zapier, or similar tools.

Experience developing web scrapers using BeautifulSoup, Scrapy, Playwright, Puppeteer, or equivalent frameworks.

Practical experience integrating AI/LLM APIs into business applications.

Good understanding of Machine Learning fundamentals and AI-powered automation.

Strong knowledge of REST APIs, JSON, Webhooks, Authentication, and API integrations.

Experience working with SQL and NoSQL databases.

Strong analytical, debugging, and problem-solving abilities.

Ability to design scalable automation systems from scratch with minimal supervision.

Preferred Skills

Experience with Scikit-learn, TensorFlow, or PyTorch.

Knowledge of Vector Databases, Retrieval-Augmented Generation (RAG), and AI Agents.

Experience with Prompt Engineering and Agentic AI Workflows.

Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.

Experience with Docker, serverless architectures, and cloud-based deployments.

Basic front-end development skills (HTML, CSS, JavaScript) for building internal dashboards and tools.

What We're Looking For

Strong passion for automation and AI technologies.

A builder mindset with the ability to transform manual processes into intelligent automated systems.

Excellent problem-solving and logical thinking skills.

Self-motivated, detail-oriented, and eager to learn emerging AI technologies.

Strong communication and collaboration skills.

Ability to work independently while contributing effectively within a team.

Why Join Us?

Work on cutting-edge AI and automation projects.

Build intelligent systems that have a direct business impact.

Opportunity to experiment with the latest AI technologies and LLMs.

Collaborative environment with continuous learning and growth opportunities.

Exposure to modern automation platforms, cloud technologies, and scalable AI solutions.

Principal Architect.

Architecture: Microservices, Event-Driven, Serverless, Service Mesh, Multi-tenancy, API Gateway.

DevOps/IaC: Terraform, Kubernetes (EKS/AKS/GKE), Helm, Jenkins/GitHub Actions, ArgoCD, MLOps.

Monitoring/Performance: OpenTelemetry, Datadog/New Relic, Chaos Engineering, Load Testing (k6/JMeter).

Networking/Security: VPC, Zero Trust, IAM, WAF, OAuth2/OIDC, DevSecOps.

Senior Python Developer to lead the development of scalable, high-performance backend systems and data-driven applications. You will work on building robust services, APIs, and data workflows that power real-time and batch applications.This role is ideal for a seasoned developer who thrives on solving complex problems, building reliable software, and working across data and engineering teams. Youll play a key role in designing and developing Python-based systems that interface with big data frameworks, cloud platforms, and analytics tools.Key Responsibilities

• Design and develop robust Python-based backend services and microservices.
• Build RESTful APIs and integrations with third-party systems and internal tools.
• Work with data workflows involving ingestion, transformation, and validation.
• Develop and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
• Collaborate with DevOps teams to deploy, monitor, and scale applications in cloud environments (AWS, Azure, GCP).
• Optimize code for performance, scalability, and maintainability.
• Write unit and integration tests, participate in code reviews, and follow CI/CD best practices.
• Work with cloud storage, databases, and data lake technologies like S3, Parquet, and DuckDB.
• Collaborate with data scientists, analysts, and engineers to enable data access and modeling.

Required Skills & Qualifications

• 5+ years of experience in backend software development, primarily in Python.
• Strong understanding of OOP, modular design, and Python design patterns.
• Experience with web frameworks (e.g., Flask, FastAPI, Django).
• Hands-on experience with data processing tools like Pandas, SQLAlchemy, PyArrow.
• Proficiency with SQL and database technologies (PostgreSQL, DuckDB, etc.).
• Experience with Airflow for workflow orchestration.
• Knowledge of building scalable, distributed applications and microservices.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Solid understanding of version control (Git), testing frameworks (PyTest), and CI/CD pipelines.
• Excellent problem-solving, debugging, and communication skills.

Preferred Skills (Nice to Have)

• Experience with data processing frameworks like Apache Spark or Vaex.
• Familiarity with data storage formats and tools like Parquet, Iceberg.
• Exposure to data streaming platforms (Kafka, Kinesis, Flink).
• Experience integrating backend systems with AI/ML pipelines or BI platforms.
• Understanding of security standards and compliance (GDPR, HIPAA, SOC2).
• Background in metadata-driven or event-driven architectures.

Location: Hyderabad / Indore

Experience: 6 - 8+ years

Employment type: Full-time

What we're looking for (must-have):

• 6-8+ years building production software, including a real architecture or principal-engineer chapter where you owned system design end to end.
• Deep MERN expertise — you can architect and go hands-on in Node.js and React without a handoff.
• Strong cloud architecture skills on at least one major provider (AWS / GCP / Azure) — networking, security, scaling, and cost.
• Demonstrated experience designing systems in a regulated or high-stakes domain: healthcare (HIPAA/PHI), payments (PCI-DSS), fintech, or similar.
• The judgment to make irreversible decisions and the communication to bring a team along with you.
• Accountability for the outcome of your architecture in production — not just the diagram.

Nice to have:

• HIPAA / healthcare compliance in production — audit trails, BAA-covered infrastructure, PHI access controls.
• Payment systems experience — Stripe, Braintree, PCI-DSS environments, tokenization, reconciliation.
• Event-driven architecture, microservices, and high-availability system design.
• Experience in a multi-product, consulting, or venture-studio environment where context-switching is the norm.
• An AI-native development practice and opinions on how AI changes architecture and delivery.

We're looking for a FinOps Engineer with a DevOps backbone who has an almost

obsessive eye for cost leaks, idle resources, and inefficiencies across our platform. If unused

EBS volumes, oversized instances, or a forgotten dev environment running on weekends

genuinely bother you — you'll fit right in.

This isn't a passive reporting role. You'll be expected to proactively hunt for waste,

propose optimizations, and drive strategic cost conversations with engineering, SRE,

and leadership across Zoop's entire platform — from infrastructure and Kubernetes clusters

to data pipelines and third-party services.

What You'll Own

●​ Continuously audit Zoop's cloud footprint (AWS/Azure/GCP) end-to-end —

compute, storage, networking, databases, observability stack, and SaaS tooling

— and flag every form of waste, big or small.

●​ Proactively propose cost-reduction strategies rather than waiting to be asked

— bring data, options, trade-offs, and a recommendation to the table.

●​ Lead monthly/quarterly cost reviews with engineering and product leadership;

turn billing data into actionable conversations.

●​ Build cost visibility dashboards and chargeback/showback models so every team

at Zoop knows what they're spending and why.

●​ Drive rightsizing, autoscaling tuning, Spot/Reserved Instance/Savings Plan

strategies, and storage tiering across the platform.

●​ Embed cost guardrails into CI/CD pipelines, IaC (Terraform/CloudFormation), and

Kubernetes manifests — catch wasteful resources before they're deployed.

●​ Optimize Kubernetes cost efficiency using tools like Kubecost, OpenCost, or

Karpenter; tune requests/limits, HPA/VPA, and node pools.

●​ Set up automated alerts and anomaly detection for budget breaches, idle

resources, and runaway costs.

●​ Partner with Finance for forecasting, unit economics (cost per user/transaction),

and cloud budget planning.

●​ Evangelize a cost-aware engineering culture — run internal sessions, write

playbooks, and make FinOps a shared responsibility, not a finance afterthought.

Who You Are

●​ Someone with genuine OCD around cost and wastage — you can't sleep

knowing a non-prod cluster ran all weekend at full capacity.

●​ A DevOps practitioner first, who understands why costs happen at the

infrastructure level — not just someone reading billing reports.

●​ Naturally proactive — you don't wait for tickets; you spot patterns, dig in, and

propose changes before anyone asks.

●​ Comfortable challenging engineering decisions diplomatically when they're

expensive, and equally comfortable defending necessary spend to finance.

●​ A clear communicator who can talk to both a senior engineer about Karpenter

configs and a CFO about quarterly burn.

Required Qualifications

●​ 3+ years of hands-on experience in DevOps, Cloud Engineering, SRE, or Cloud

FinOps roles.

●​ Strong working knowledge of at least one major cloud provider (AWS preferred), including native cost tools (Cost Explorer, CUR, Azure Cost Management, or GCP Billing).

●​ Proficiency with Infrastructure as Code (Terraform, CloudFormation, or Pulumi).

●​ Hands-on experience with Docker and Kubernetes (EKS/AKS/GKE).

●​ Scripting in Python, Bash, or Go for automation, reporting, and cost tooling.

●​ Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, ArgoCD).

●​ Solid grasp of cloud pricing models — On-Demand, Reserved Instances, Savings

Plans, Spot/Preemptible, committed-use discounts.

●​ SQL skills for querying billing data (AWS CUR via Athena/Redshift, BigQuery

billing exports).

Nice to Have

●​ FinOps Certified Practitioner (FOCP) certification.

●​ Cloud certifications (AWS, Azure, or GCP).

●​ Experience with FinOps platforms (CloudHealth, Cloudability/Apptio, Spot.io,

Vantage, Kubecost).

●​ Exposure to multi-cloud or hybrid-cloud cost optimization.

●​ Understanding of SaaS unit economics (cost per customer, cost per transaction,

gross margin impact).

As a DBA Director, you will co-lead our global DBA teams specializing in operational support of such platforms as Oracle, MSSQL, Postgres, MongoDB, Snowflake, and Databricks. As a critical requirement of this position, you will partner across all business units to assist with functional design, validation, and deployment of database solutions and technologies. The DBA Director will also partner closely with the other pillars of the IT organization to create secure automation of manual processes while also ensuring better stability and scalability of our backend database systems and associated processes. This role requires an experienced technically minded leader that is looking to evolve and improve internal teams through continuous skill-building and facilitating camaraderie. This role requires deep technical knowledge of database technologies, processes, as well as knowledge and awareness of DB platforms leveraged by critical systems. The person will report to the Vice President of Enterprise Tools and Middleware.

Responsibilties

• Assist with management of teams consisting of technology professionals who engineer and globally support data services and platforms.
• Participate in continuous improvement and promote team evolution and direction.
• Partner with VP of Enterprise Tools and Middleware to formulate planning and execution designed to create better automation, stability, and enhanced performance of our database platforms.
• Collaborate on a budgetary level by ensuring the organization meets all budget goals in the areas of payrolls and licensing spend.
• Facilitate and create an escalation point for high-severity tickets.
• Create and ensure 24/7 on-call rotations within teams.
• Collaborate with operational stakeholders, including defining requirements, suggesting alternatives, and setting priorities with the team.
• Provide strategic thought leadership and technical guidance across the IT organization support team.
• Be a trusted advisor in both technical and functional areas.
• Build relationships and partner with business stakeholders to understand departmental needs.

Qualifications

• Experienced professional with over 15 years of applicable database support and engineering experience.
• Track record of successfully leading global multi-team organizations.
• Verifiable people management and team building experience.
• Manage and prioritize team leaders as well as team workloads to deliver on committed projects, initiatives, and tickets.
• Demonstrated understanding of ITIL and ITSM; ITSM methodology pertaining to managing incidents, change requirements, and overall reducing risk.
• Proven experience and ability to proactively solve problems and implement solutions to continuously improve.
• Ability to recruit, train and retain high quality talent.
• Proven track record of building strong relationships.
• Experience deploying, optimizing, and supporting DBA processes and platforms.
• Carries a value-driven focus for continual improvement.

Senior Cloud Security & Reliability Engineer (GCP)

Searce Inc | Mumbai, Maharashtra | On-site | 4–7 Years

About Searce

Searce is a global, AI-native, engineering-led technology consultancy and a Premier Google Cloud Partner — recognized as the Google Cloud Workplace AI Transformation Partner of the Year, APAC (2026). With 20+ years of experience and 3,000+ clients across 10+ countries, we help businesses stay ahead of the cloud curve. The Role We're looking for a Senior Cloud Security & Reliability Engineer with deep GCP expertise to join our Mumbai MSP team. You'll own reliability, security, and optimization of enterprise client GCP environments — 24/7.

What You'll Do

Own Reliability — Lead 24x7 GCP cloud operations and incident management. Define and enforce SLOs.

Engineer the Blueprint — Build scalable, secure GCP architectures and maintain IaC modules and playbooks.

Automate Everything — Embed AI-driven automation and AIOps to eliminate toil and preempt incidents.

Drive FinOps — Own GCP cost optimization for clients with quantified impact.

Be the Expert — Represent deep GCP expertise in client conversations and documentation.

Mentor & Elevate — Coach junior engineers through code reviews and problem-solving.

What We're Looking For

Experience

4–7 years total with 4+ years on GCP cloud infrastructure Background in Cloud Managed Services / MSP environments

2+ years in a client-facing technical role

Technical Skills (Must-Have)

GCP: GKE, IAM, VPC, Cloud Monitoring, Stackdriver — in work experience

Kubernetes: GKE — demonstrated in production

IaC: Terraform — module-level, demonstrated in work experience Observability: Prometheus + Grafana minimum

Security: GCP IAM, VPC controls, Security Command Center

Scripting: Python

Nice to Have

GCP Professional Cloud Architect / Pro DevOps Engineer certification BFSI or enterprise domain experience Thanos, Vault, Istio, ArgoCD FinOps Foundation Certification

Why Searce?

🏆 Google Cloud Partner of the Year — APAC 2026

🌍 Enterprise clients across US, APAC, and India

🤖 AI-first, engineering-led culture

📈 Fast-growing MSP team with real career ownership

🤝 HAPPIER values — Humble, Adaptable, Positive, Passionate, Innovative, Excellence, Responsible

📧 Interested? Share your profile and let's connect.

 Job Summary

We are seeking a highly skilled Cloud AI Engineer with strong Cloud and Data Engineering capabilities to design, build, and deploy intelligent AI agents and end-to-end AI solutions.

The ideal candidate bridges the gap between AI research, data engineering, and full-stack software development. You should possess deep expertise in Vertex AI, GCP ADK, modern AI orchestration frameworks, and cloud-native data services. Beyond building systems, you must have hands-on experience in advanced AI optimisations—including prompt engineering, context engineering, and harness engineering.

 Experience Required: 5+ Years of total IT experience (with a minimum of 2+ years dedicated to Google Cloud, Machine Learning, and AI)

●     Job Location: PAN India

●     Work Mode: Hybrid

Key Responsibilities

AI & Agentic Engineering

●     Multi-Agent Design: Design, develop, and orchestrate complex Agentic AI applications and multi-agent workflows on GCP.

●     Core AI Stack: Build and deploy scalable AI solutions leveraging Vertex AI and GCP ADK (Agent Development Kit).

●     Advanced LLM Techniques: Implement advanced Prompt Engineering, Context Engineering, and Retrieval-Augmented Generation (RAG) workflows.

●     Testing & Evaluation: Design robust evaluation frameworks using Harness Engineering principles to benchmark agent performance, guardrails, and accuracy

Cloud Integration

●     End-to-End Delivery: Develop full-stack AI applications, seamlessly integrating backend services, secure APIs (RESTful/gRPC), and responsive user interfaces.

●     Scalable Infrastructure: Design and maintain scalable, secure, and production-grade AI systems utilizing GCP cloud-native architectures.

Position: Team Lead – Data Engineering

We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms.

Key Responsibilities:

• Design and architect scalable, high-performance data solutions.
• Lead and mentor a team of data engineers.
• Build and optimize large-scale data pipelines.
• Drive architectural decisions and technical strategy.
• Ensure data quality, governance, and security best practices.
• Collaborate with cross-functional teams for end-to-end delivery.

Required Skills:

• Strong hands-on experience in Java & Python.
• Strong expertise in SQL and Big Data technologies.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience with Apache Airflow for workflow orchestration.
• Strong understanding of distributed systems and data architecture.
• Experience in CI/CD pipelines (mandatory).
• Experience in data warehousing and ETL processes.
• Excellent leadership and stakeholder management skills.

Good to Have:

• Experience with Dataflow (Apache Beam).
• Experience designing enterprise-level data platforms.
• Exposure to DevOps best practices.

Expected Date of Joining Immediate/ 30 days  

What makes Techjays an inspiring place to work

At Techjays, we are helping companies reimagine how they build, operate, and scale with AI at the core.

We operate as part of the 1% of companies globally that can truly leverage AI the right way and not just as experimentation, but as secure, scalable, production-grade systems that drive measurable business outcomes.

Our strength lies in combining deep backend engineering with AI system design, building AInative platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready. Our team includes engineers and leaders who have built and scaled products at global technology organizations such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. Today, we function as a high-agency, execution-focused team building advanced AI systems for global clients.

About the role

We are looking for a strong backend engineer who can design and build secure, scalable Python systems that power AI-native applications.

You will work on AI-enabled platforms, production systems, and scalable backend services that support LLM integrations, RAG pipelines, and intelligent workflows.

Years of Experience: 3 - 7 years

Location: Coimbatore

Key Skills

Backend Development (Familiar):

• Python
• Django / Flask
• RESTful APIs
• Websockets

Cloud Technologies (Familiar):

• AWS (EC2, S3, Lambda)
• GCP (Compute Engine, Cloud Storage, Cloud Functions)
• CI/CD pipelines with Jenkins / GitLab CI or Github Actions

Databases (Familiar):

• PostgreSQL
• MySQL
• MongoDB

AI/ML (Familiar):

• Basic understanding of Machine Learning concepts
• Assist in building and integrating Agentic AI workflows
• Familiar with RAG
• Vector Databases (Pinecone or ChromaDB or others)

Tools:

• Git
• Docker
• Linux

Roles and Responsibilities

• Develop and maintain backend services using Python and Django/Flask under guidance.
• Assist in building scalable and secure APIs and backend systems for AI-driven applications.
• Write clean, efficient, and maintainable code following best practices.
• Collaborate with cross-functional teams including frontend developers, data scientists, and product teams.
• Participate in code reviews, debugging, and performance optimization.
• Support integration of AI/ML components such as LLMs and RAG pipelines.
• Continuously learn and improve technical skills in backend and AI technologies.

What We’re Looking for Beyond Skills

• Builder mindset — you think in systems, not just tickets
• Ownership — you take features from idea to production
• Structured thinking in ambiguous environments
• Clear communication and collaborative approach
• Ability to work in a fast-paced, evolving startup environment

What We Offer

• Competitive compensation
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs per person)
• Opportunity to work on production-grade AI systems
• Exposure to global clients and high-impact projects
• A culture that values clarity, integrity, and continuous growth

About Searce

Searce is a global, AI-native, engineering-led technology consultancy and a Premier Google

Cloud Partner — recognized as the Google Cloud Workplace AI Transformation Partner of the

Year, APAC (2026). With 20+ years of experience and 3,000+ clients across 10+ countries, we

help businesses stay ahead of the cloud curve.

The Role

We're looking for a Lead Cloud Security & Reliability Engineer with deep GCP expertise to own

end-to-end cloud reliability and security forAPAC enterprise clients. As Lead, you'll set the architectural direction, mentor your squad, and drive measurable client outcomes across multi-

cloud environments.

What You'll Do

Own Client Delivery — Lead 24x7 GCP cloud operations forAPAC clients. Define SLO frameworks and ensure adherence.

Architect Solutions — Design scalable, secure GCP-primary architectures with multi-cloud awareness.

Drive Reliability — Lead incident response, RCA, and long-term remediation across production systems.

Mentor & Elevate — Coach and grow a squad of Senior CSREs.

Drive FinOps — Own cloud cost governance and optimization with quantified impact.

Be the Expert — Represent Searce's technical depth in global client conversations.

What We're Looking For

Experience

7–12 years total with 5+ years on GCP cloud infrastructure

Strong background in Cloud Managed Services / MSP environments

Proven experience leading a team in client-facing delivery

Multi-cloud exposure (AWS/Azure secondary) preferred

Technical Skills (Must-Have)

• GCP: GKE, IAM, VPC, Cloud Monitoring, Stackdriver, KMS — demonstrated in work
• experience
• Kubernetes: GKE — production cluster management, Helm
• IaC: Terraform — module-level, reusable frameworks
• Observability: Prometheus, Grafana, Thanos or equivalent
• Security: IAM, Zero-trust, DevSecOps, CSPM tools
• Scripting: Python or Go
• FinOps: GCP cost governance demonstrated

Nice to Have

• GCP Professional Cloud Architect / Pro DevOps Engineer certification
• AWS / Azure secondary experience
• CKA (Certified Kubernetes Administrator)
• ITIL / change management awareness
• APAC client delivery experience

Why Searce?

🏆 Google Cloud Partner of the Year — APAC 2026

🌍 Work with APAC enterprise clients across multiple industries

🤖 AI-first, engineering-led culture

📈 Lead-level ownership with real career growth

🤝 HAPPIER values — Humble, Adaptable, Positive, Passionate, Innovative, Excellence,

Responsible

Job Title: Engineering Manager

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3.AI Solutions

Role Overview

As an Engineering Manager at Timble AI, you will manage, mentor, and scale our core engineering teams (including Backend, Frontend, and AI/ML divisions). You will remain highly technical, contributing to architecture decisions and system design, while taking full ownership of project delivery timelines, agile sprints, and team performance metrics.

Key Responsibilities

1. People Leadership & Mentorship: Manage and grow a cross-functional team of software engineers (SDE-1 to SDE-3). Conduct regular 1-on-1s, drive career growth paths, and foster an innovative, high-ownership engineering culture.
2. Delivery & Agile Project Management: Own the engineering sprint cycles. Work closely with Product Managers to break down roadmaps into execution goals, manage dependencies, and ensure high-velocity, predictable delivery.
3. System Design & Architecture: Provide technical governance and direction. Collaborate on core system architecture, design reviews, and ensure codebases remain clean, scalable, and modular.
4.  Engineering Excellence: Define and monitor key performance indicators (KPIs) for the engineering team, including code quality, test coverage, uptime, and system performance.
5. Hiring & Scaling: Actively partner with the talent acquisition team to identify, interview, and onboard top-tier engineering talent to help build our core verticals.

Required Skills & Qualifications

1. Experience: 5+ years of core software engineering experience, with at least 1–2 years of experience in an engineering management, tech lead, or team leadership role.
2. Technical Roots: Strong foundational background in backend systems, distributed architectures, or AI integration. Prior hands-on experience with Python/Django ecosystems, microservices, cloud infra (AWS/GCP), or heavy automation systems is highly valued.
3. Agile Mastery: Deep familiarity with Agile/Scrum development methodologies, sprint planning tools, and CI/CD pipelines.
4.  Communication: Exceptional interpersonal and cross-functional communication skills, with a track record of translating complex technical visions into clear execution steps.
5.  Education: B.Tech / M.Tech in Computer Science, Information Technology, or a related technical discipline from a reputed institute.

Learn more about us at: https://timbleglance.com

Job Title: Technical Lead – Python/Django

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3.AI Solutions

Key Responsibilities

·      Architecture & Design: Design, develop, and maintain robust, scalable, and secure backend microservices and RESTful APIs using Python and Django.

·      Technical Leadership: Lead code reviews, enforce engineering best practices (TDD, clean code, documentation), and optimize database queries and system performance.

·      Team Mentorship: Guide, mentor, and unblock a team of mid-to-senior software development engineers (SDEs), fostering a high-performance execution culture.

·      System Optimization: Optimize application performance, enhance caching mechanisms, manage task queues, and ensure system uptime and smooth deployment pipelines.

·      Cross-functional Collaboration: Work closely with Frontend, Product Management, DevOps, and AI/ML teams to align backend capabilities with the product roadmap.

Required Skills & Qualifications

·      Experience: 6+ years of core software engineering experience, with at least 2+ years in a technical leadership or mentoring role.

·      Core Expertise: Exceptional command over Python and deep, production-level expertise in the Django/Django framework.

·      Database Management: Strong proficiency with relational databases (PostgreSQL, MySQL) and optimization (indexing, complex query tuning).

·      Caching & Queues: Practical experience with caching layers (Redis, Memcached) and asynchronous task queues (Celery).

·      Architecture Patterns: Solid understanding of microservices architecture, system design principles, API security, and RESTful web services.

·      DevOps Awareness: Familiarity with Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP) is a major plus.

·      Education: B.Tech/M.Tech or MCA / MBA in a technical specialization from a reputed institute.

What We Offer

·      Opportunity to lead a core engineering vertical in a fast-growing AI startup.

·      A collaborative, high-energy work culture with zero bureaucratic friction.

·      Competitive compensation packages and performance-driven growth paths.

Learn more about us at: https://timbleglance.com

Client: Capgemini

Location: Hyderabad

Experience: 8+ Years

Senior Software Engineer

As a Senior Software Engineer, you will design, develop, test, and deploy sophisticated Generative AI applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands-on development experience and a strong interest in solving complex technical problems using modern AI capabilities.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical engineering environments.
• Contribute to large-scale planning of strategies across Consumer Technology.
• Design, code, test, debug, and document applications and services, including upgrades and deployments.
• Review technical challenges that require in-depth evaluation of technologies, procedures, and engineering approaches.
• Resolve moderately complex issues while guiding teams to meet existing and emerging business needs.
• Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals.
• Lead projects and act as an escalation point, providing direction to less experienced engineers.
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies.
• Implement prompt engineering, retrieval-augmented generation, fine-tuning, and agentic design patterns.
• Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards.
• Troubleshoot complex application and model-related issues and contribute to the continuous improvement of AI systems.
• Assist and mentor engineers in advanced software development and AI engineering practices.
• Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems.

Required Qualifications:

• 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education.
• 2+ years of experience working with Generative AI, large language models, or foundation models.
• 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift.
• 2+ years of experience with Python.
• 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes.
• 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows.

Desired Qualifications:

• Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments.
• Experience working in highly regulated industries such as financial services.
• Experience as a technical lead or architect, including mentoring senior engineers.
• Experience integrating or contributing to open-source AI or ML projects.
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines.
• Strong communication and documentation skills to collaborate across engineering, product, and oversight teams.

Preferred Skills and Experience:

• Experience with LLM development using OpenAI, Anthropic, or Google Gemini models.
• Experience with agentic frameworks and AI workflow orchestration.
• Experience designing applications that incorporate retrieval-augmented generation, fine-tuning, and structured prompting.
• Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate.
• Experience with LLM evaluation, observability, and monitoring, including latency, cost, accuracy, grounding, drift detection, and safety assessments.
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI/CD pipelines for AI services.
• Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments.
• Experience optimizing AI application performance, including prompt efficiency, model selection, caching, batching, and cost management.

Location: Bangalore (Hybrid/Onsite)

Experience: 5–8 Years

Work location -Manyata Tech park

Job Description

We are seeking a skilled GCP Data Engineer with 5–8 years of experience in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions. The ideal candidate should have strong expertise in Google Cloud Platform (GCP), Python, PySpark, SQL, and Data Engineering concepts.

Key Responsibilities

• Design, build, and optimize scalable ETL/ELT data pipelines.
• Develop and maintain data processing solutions using Python and PySpark.
• Work with large-scale structured and unstructured datasets.
• Implement data ingestion, transformation, and data quality frameworks.
• Build and manage data solutions on Google Cloud Platform (GCP).
• Develop and optimize complex SQL queries, stored procedures, and data models.
• Collaborate with business stakeholders, data analysts, and cross-functional teams to understand data requirements.
• Monitor, troubleshoot, and improve data pipeline performance and reliability.
• Ensure data governance, security, and compliance standards are followed.
• Support data warehousing and analytics initiatives.

Required Skills

• 5–8 years of experience in Data Engineering.
• Strong programming experience in Python.
• Hands-on experience with PySpark and distributed data processing.
• Strong expertise in SQL and database performance tuning.
• Experience with Google Cloud Platform (GCP) services such as:
• BigQuery
• Cloud Storage
• Dataflow
• Dataproc
• Cloud Composer
• Pub/Sub
• Experience in designing ETL/ELT workflows.
• Knowledge of data warehousing concepts and dimensional modeling.
• Experience with version control tools such as Git.
• Strong problem-solving and analytical skills.

Preferred Skills

• Experience with CI/CD pipelines and DevOps practices.
• Exposure to orchestration tools like Airflow/Cloud Composer.
• Experience working in Agile/Scrum environments.
• Knowledge of streaming data processing and real-time data pipelines.

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Job Title:  RPA Developer

Experience: 4+ Years

Location: Hybrid (Bangalore)

Job Summary

We're looking for an RPA Developer with hands-on experience in Microsoft Power Automate and Automation Anywhere. The ideal candidate will bring a mix of RPA development and platform administration experience (minimum 6 months in admin activities) and a passion for building scalable automation solutions.

Key Responsibilities

• Design, develop, and deploy automation solutions using Microsoft Power Automate and Automation Anywhere.
• Identify and automate business processes to improve efficiency.
• Integrate automations with enterprise applications and cloud services.
• Administer and maintain Power Automate and Automation Anywhere environments.
• Monitor platform performance, security, governance, and compliance.
• Troubleshoot and enhance existing automation workflows.

Required Skills

• Strong hands-on experience with Microsoft Power Automate and Automation Anywhere.
• Experience in both RPA development and platform administration (minimum 6 months of administration experience).
• Proficiency in Python, JavaScript, VBScript, or .NET.
• Experience with at least one major cloud platform: Azure, AWS, or GCP.
• Experience integrating automation solutions with enterprise systems and APIs.
• Strong problem-solving and stakeholder communication skills.

Preferred Skills

• Certifications in Microsoft Power Platform/Power Automate or Automation Anywhere.
• Experience with AI Builder, Process Advisor, Dataverse, and Jira.
• Exposure to Pega or other BPM platforms.

Role Overview

We are looking for a skilled Software Engineer with strong Python backend development expertise and hands-on experience in Google Cloud Platform (GCP). The role involves building scalable, cloud-native applications, APIs, and automation solutions while following modern SDLC and DevOps best practices.

Key Responsibilities

• Develop and maintain backend services using Python, including APIs, automation, and data processing.
• Design and implement cloud-native solutions on GCP, leveraging services such as Cloud Run, Cloud Functions, Firestore, Compute Engine, and App Engine.
• Contribute to system design and architecture discussions, focusing on scalability and microservices.
• Follow SDLC best practices, writing clean, modular, and testable code using OOP principles and design patterns.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Support CI/CD pipelines, version control, and automated testing as part of DevOps practices.
• Willing to work in shifts.

Required Skills & Qualifications

Certifications

• Google Cloud Associate or Professional Certification preferred.
• Other relevant cloud or software certifications are a plus.

Python

• Strong proficiency in backend development, API creation, automation, and data manipulation.

GCP

• Practical experience with GCP services, especially serverless or compute-based offerings.

System Design

• Good understanding of scalable architectures and microservices concepts.

SDLC & OOP

• Solid grasp of object-oriented programming, design patterns, and clean code practices.

DevOps

• Working knowledge of Git, CI/CD pipelines, automated testing, and Infrastructure as Code (IaC).

A GCP BigQuery professional designs develops and optimizes largescale data warehouses ELT ETL pipelines and SQL scripts within Google Cloud Responsibilities include managing data ingestion PubSub Dataflow optimizing performance and cost and implementing securitygovernance Key skills include SQL Python Apache Airflow and Data modeling

Key Responsibilities

• Data Architecture Modeling Design and optimize BigQuery data models schemas and storage for performance and costefficiency
• Pipeline Development ETLELT Build scalable data pipelines and workflows using tools like Cloud Composer Airflow Dataflow and Dataproc
• Query Optimization Write complex SQL scripts and tune performance to minimize BigQuery slot usage
• Data Integration Ingest transform and manage data from diverse sources into BigQuery
• Governance Security Implement data security access controls and best practices

Required Skills Qualifications

• Core Technical Proficiency in GoogleSQL Python and Google Cloud Platform GCP services BigQuery Cloud Storage Dataflow
• Data Processing Experience with Apache Spark Beam or Hadoop
• Database Knowledge Strong understanding of relational RDBMS and NoSQL databases

Position: Team Lead – Data Engineering

Client: NucleusTeq

We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms.

Key Responsibilities:

·     Design and architect scalable, high-performance data solutions.

·     Lead and mentor a team of data engineers.

·     Build and optimize large-scale data pipelines.

·     Drive architectural decisions and technical strategy.

·     Ensure data quality, governance, and security best practices.

·     Collaborate with cross-functional teams for end-to-end delivery.

Required Skills:

·     Strong hands-on experience in Java & Python.

·     Strong expertise in SQL and Big Data technologies.

·     Hands-on experience with Google Cloud Platform (GCP).

·     Experience with Apache Airflow for workflow orchestration.

·     Strong understanding of distributed systems and data architecture.

·     Experience in CI/CD pipelines (mandatory).

·     Experience in data warehousing and ETL processes.

·     Excellent leadership and stakeholder management skills.

Good to Have:

·     Experience with Dataflow (Apache Beam).

·     Experience designing enterprise-level data platforms.

·     Exposure to DevOps best practices.

Job Details:

• Role: Senior Staff Engineer, AI,LLM
• Experience: 7-9 Years
• Employment Type: Full-time
• Work Mode: Gurugram (Hybrid)

REQUIREMENTS:

• Strong experience in AI/ML Engineering and Generative AI solution development.

• Hands-on expertise in Python development for AI/ML applications and scalable AI services (Must Have).

• Strong experience with GCP and Vertex AI, including model deployment, pipelines, and AI services (Must Have).

• Deep understanding of LLMs, Foundation Models, embeddings, prompt engineering, and RAG architectures (Must Have).

• Hands-on experience building Agentic Workflows and AI Agents (Must Have).

• Experience with Vector Search, AI security, governance, and responsible AI practices.

• Strong knowledge of MLOps, CI/CD, automated testing, and Infrastructure as Code.

• Experience with observability, monitoring, logging, and tracing for AI systems.

• Strong understanding of APIs, microservices, and cloud-native architectures.

• Excellent problem-solving, communication, and stakeholder management skills.

RESPONSIBILITIES:

• Design, build, and deploy production-grade Generative AI and Agentic AI solutions using GCP and Vertex AI.

• Develop AI Agents, Agentic Workflows, and RAG-based solutions leveraging enterprise data sources.

• Design secure, scalable, and reliable AI architectures aligned with business requirements.

• Build and maintain AI platforms, APIs, and reusable AI components.

• Implement AI security, governance, monitoring, observability, and performance optimization practices.

• Establish and manage CI/CD pipelines and MLOps processes for AI solutions.

• Design and execute AI testing, evaluation, and quality assurance strategies.

• Collaborate with Product, Engineering, and Data Science teams to deliver AI-powered solutions.

• Develop high-quality Python code and participate in code reviews and architecture discussions.

• Research emerging AI technologies and drive continuous improvement and innovation.

• Troubleshoot production issues and provide technical leadership and mentoring.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields,

AI/ML Engineer (GenAI | LangChain | RAG | Python)

Location: Pune (Onsite/Hybrid)

Experience: 1–3 Years

Employment Type: Full-Time

About the Role

We are looking for a passionate and hands-on AI/ML Engineer to join our growing engineering team. This role focuses on building production-grade AI-powered applications using modern Generative AI frameworks, Large Language Models (LLMs), backend technologies, and orchestration workflows.

The ideal candidate should have strong Python development skills along with practical experience working with LangChain, LangGraph, Vector Databases, Embeddings, and Retrieval-Augmented Generation (RAG) architectures. You will collaborate with senior engineers to design, develop, and deploy scalable AI solutions for enterprise applications.

Key Responsibilities

• Develop and maintain AI-powered applications using Python and FastAPI.
• Design and implement LangChain and LangGraph-based LLM workflows.
• Build and manage Vector Database integrations for embeddings and semantic search.
• Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent applications.
• Create reusable backend APIs and AI orchestration services.
• Write clean, maintainable, and production-ready code.
• Collaborate with engineering teams on AI solution architecture and implementation.
• Participate in code reviews, debugging, testing, and performance optimization.
• Integrate AI services into enterprise software applications.
• Contribute to prompt engineering, embedding optimization, and workflow improvements.

Required Skills

• 1–3 years of hands-on software development experience.
• Strong proficiency in Python programming.
• Experience building REST APIs using FastAPI.
• Hands-on experience with LangChain and LangGraph.
• Understanding of Large Language Models (LLMs) and prompt engineering.
• Experience working with Vector Databases and embedding-based search.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Familiarity with Git and CI/CD practices.
• Strong debugging, analytical, and problem-solving skills.
• Understanding of software engineering best practices and clean coding principles.

Preferred Skills

• Exposure to AWS, Azure, or Google Cloud Platform.
• Experience with Docker and containerized deployments.
• Understanding of AI Agent workflows and autonomous systems.
• Basic knowledge of Machine Learning concepts.
• Experience with embedding optimization and inference pipelines.
• Familiarity with scalable AI backend architectures.
• Exposure to enterprise AI integrations and deployment workflows.

Ideal Candidate Profile

• Engineers with hands-on experience building AI-powered applications.
• Developers working on GenAI, LLM, Agentic AI, or RAG-based solutions.
• Python backend developers looking to transition into AI Engineering.
• Candidates with practical implementation experience using LangChain and Vector Databases.
• Engineers passionate about building scalable, production-grade AI systems.

Eligibility Criteria

• Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 1–3 years of professional development experience.
• Strong coding, debugging, and problem-solving capabilities.
• Ability to work from Pune office as per business requirements.

Important Note

This is a practical implementation-focused role. Candidates will be evaluated based on real-world AI engineering experience, project ownership, debugging maturity, and practical understanding of AI workflows. Tutorial-only exposure to GenAI tools, LangChain, or LLMs will not be considered sufficient.

If you're excited about building real-world AI products using LLMs, RAG, Agentic Workflows, and modern AI frameworks, we'd love to hear from you.

Everything we do is for our customers!

Featured on Deloitte's Technology Fast 500 list and G2's leaderboard, Maropost offers a unified commerce experience that our customers need, transforming ecommerce, retail, marketing automation, merchandising, helpdesk and AI operations with one platform designed to scale for fast-growing businesses. With a relentless focus on our customers’ success, we are motivated by customer obsession, extreme urgency, excellence and resourcefulness to to power 5,000+ global brands while we head to 100,000+.

Driven by the same customer-centric mentality as above, we empower businesses to achieve their goals and grow alongside us. If you're a driver and not passenger and are ready to make a significant impact and be part of our transformative journey, Maropost is the place for you.

The Opportunity:

Thrive on change and grow beyond limits! We are looking for a bold thinker who sees a chance to learn and define what's possible with every challenge! Ready to make an impact? Welcome to Maropost and you can turn ideas into action!

We are seeking an experienced Senior Platform Engineer to join our growing team responsible for building, scaling, and maintaining the core infrastructure of our SaaS product on Google Cloud Platform (GCP). You will architect and implement robust, secure, and scalable systems using Kubernetes for orchestration and terraform for infrastructure-as-code.

What you'll be responsible for:

• Design, implement, and optimize cloud-native infrastructure on GCP to support our SaaS product. 
• Lead the deployment and management of Kubernetes clusters, ensuring high availability and security. 
• Develop and maintain Terraform scripts for automated provisioning of cloud resources and environments. 
• Collaborate with development and product teams to deliver scalable and reliable solutions. 
• Establish CI/CD pipelines and automate infrastructure deployment and application delivery workflows. 
• Set up and monitor observability solutions (logging, monitoring, alerting) to ensure operational excellence. 
• Identify and resolve performance bottlenecks, contributing to continuous platform optimization. 
• Drive adoption of DevOps practices and mentor junior engineers in Kubernetes, GCP, and Terraform best practices. 
• Participate in on-call rotations and support incident response as a senior technical resource in 24/7 rotational environment.

What you'll bring to Maropost:

• 5+ years of experience in platform engineering, SRE, or DevOps, with a focus on cloud-native SaaS environments. 
• Strong hands-on expertise with GCP services (Compute Engine, GKE, Cloud SQL, IAM, etc.). 
• Advanced skills in Kubernetes cluster management, workload orchestration, and troubleshooting. 
• Deep proficiency in Terraform and infrastructure-as-code concepts for cloud automation. 
• Experience designing and maintaining CI/CD pipelines (Bitbucket, Build kite, Argo CD , or similar). 
• Proficient in scripting/programming (Python, Go, or Bash). 
• Solid understanding of networking, security, and compliance in cloud environments. 
• Familiarity with monitoring and observability tools (Prometheus, Grafana, Stack driver, etc.). 
• Excellent problem-solving, communication, and team collaboration skills. 
• Exposure to service mesh (Istio, Linkerd), cloud cost optimization, or FinOps. 
• Experience with other public clouds (AWS, Azure). 
• Certifications in GCP, Kubernetes, or Terraform. 
• You exemplify Maropost’s Values: 
• Customer Obsessed 
• Extreme Urgency 
• Excellence 
• Resourceful

Message from the Founders: Maropost is looking for builders - people who want to drive our business forward at all costs in order to achieve the goals we have both short and long term for the results and outcomes that that will bring to us all.

If that isn't for you that’s ok, for those of you that it is please get in touch with us!