50+ Google Cloud Platform (GCP) Jobs in India

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.

Job Brief

The role is to coordinate strategies for defining, deploying, and designing a next-generation, cloud-based unified communications platform. This includes managing all engineering projects for VoIP initiatives, planning technology roadmaps, and configuring and optimizing all products and services, both internally and those integrated with Internet-based services.

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Role : Lead AI/Senior Engineer-AI

Location : Noida, Delhi/NCR

Experience : 5- 12 years

Education : BTech / BE / MCA / MSc Computer Science

Must Haves :

Conversational AI & NLU :

- Advanced proficiency with Dialogflow CX

- Intent classification, entity extraction, conversation flow design

- Experience building structured dialogue flows with routing logic CCAI platform familiarity

Agentic AI & Multi-Step Reasoning :

- Production experience with Google ADK (or LangChain/LangGraph equivalent)

- Multi-step reasoning and tool orchestration capability

- Tool-use patterns and function calling implementation

RAG Systems & Knowledge Management :

- Hands-on Vertex AI RAG Engine experience (or equivalent)

- Semantic search, chunking strategies, retrieval optimization

- Document processing pipelines (PDF parsing, chunking)

LLM/GenAI & Prompt Engineering :

- Production experience with Gemini models

- Advanced prompt engineering for customer support

- Langfuse experience for prompt management

Google Cloud Platform & Vertex AI :

- Advanced Vertex AI proficiency (Generative AI APIs, Agent Engine)

- Cloud Functions and Cloud Run deployment experience

- BigQuery for conversation analytics

API Integration :

- Genesys Cloud CX integration experience

- REST API design and webhook implementation

- Enterprise authentication patterns (OAuth 2.0)

Good To Have :

Conversational AI & NLU :

- Multi-language support implementation (Spanish/English)

- Telephony integration (speech recognition, TTS, DTMF)

- Barge-in handling and voice optimization

Agentic AI :

- Agent state management and session persistence

- Advanced fallback strategies and error recovery

- Dynamic tool selection and evaluation

RAG Systems :

- Re-ranking and advanced retrieval quality metrics

- Query expansion and context-aware retrieval

- Corpus organization strategies

LLM/GenAI :

- Prompt versioning, A/B testing, iterative refinement

- Prompt injection mitigation strategies

- In-context learning, few-shot, chain-of-thought techniques

LLMOps & Observability :

- Vertex AI Evaluation Service experience

- Groundedness, relevance, coherence, safety metrics

- Trace-level debugging with Cloud Trace

- Centralized logging strategies

Google Cloud :

- Application Integration connectors

- VPC Service Controls and enterprise security

- Cloud Pub/Sub for event-driven systems

Enterprise Integration :

- Third-party AI agent orchestration (SAP Joule, ServiceNow AI, Agentforce)

- Salesforce, SAP, ServiceNow integration patterns

- Context passage strategies for escalations

Architecture & System Design :

- Configuration-driven systems (Meta-Agent patterns)

- Microservices and containerization

- Scalable, multi-tenant system design

- Disaster recovery and failover strategies

Product Quality & KPIs :

- Customer support metrics expertise (CSAT, SSR, escalation rate)

- A/B testing and experimentation frameworks

- User feedback loop implementation

Deliverables :

- Architecture Design : End-to-end platform architecture, data flow diagrams, Dialogflow CX vs. ADK routing decisions

- Conversational Flows : 15+ dialogue flows covering billing, networking, appointments, troubleshooting, and escalations

- ADK Agent Implementation : Complex reasoning agents for technical support, account analysis, and context preparation

- RAG Pipeline : Document processing, chunking configuration, corpus organization (product docs, support articles, policies, promotions)

- Prompt Management : System prompts, Langfuse setup, playbook governance, version control

- Quality Framework : Evaluation pipeline, metrics dashboards, automated assessment, continuous improvement recommendations

- Integration Layer : Genesys handoff, webhook integrations, Application Integration setup, session management

- Testing & Validation : Conversation flow tests, performance testing (latency, throughput, 1000 concurrent users), security validation

- Response time <2 seconds (p95), 99.9% uptime, 1000 concurrent conversations

- Data encryption (TLS 1.2+, AES-256 at rest), PII redaction, 1-year data retention

- Graceful degradation and fallback mechanisms

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!

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI

● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.

● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data

● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics

● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics

● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems

● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes

● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions

● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.

Qualifications & Skills

● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus

● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects

● Proficiency in programming languages commonly used for AI/ML. Preferably Python

● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.

● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.

● Strong understanding of machine learning algorithms, statistics, and data structures

● Experience with data preprocessing, data wrangling, and feature engineering

● Knowledge of deep learning architectures, neural networks, and transfer learning

● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment

● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code

● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions

● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Hiring: GCP Data Engineer (FTE)

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

💼 Employment Type: Full-Time

Notice Period - Immediate Joiner ( Serving Notice Period )

Work Mode - Hybrid

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

Required Skills:

✔ GCP Data Engineering Experience

✔ BigQuery

✔ SQL & Python

✔ PySpark / Apache Spark

✔ Apache Beam / Dataflow

✔ ETL / ELT Pipeline Development

✔ Airflow / Cloud Composer

Responsibilities:

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

Good to Have:

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

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

Key Responsibilities 

• Design, develop, and maintain scalable web applications using Node.js, React.js, and Next.js 
• Build robust RESTful APIs and backend services 
• Develop responsive and high-performance user interfaces 
• Work with cloud services on AWS and/or GCP for deployment and infrastructure 
• Collaborate with cross-functional teams including product, design, and QA 
• Optimize applications for maximum speed and scalability 
• Ensure code quality through best practices, code reviews, and testing 
• Troubleshoot and debug applications 

Required Skills 

• Strong experience in Node.js (backend development) 
• Proficiency in React.js and Next.js with product development experience
• Experience in building REST APIs and microservices architecture 
• Hands-on experience with cloud platforms: 
• Amazon Web Services (AWS) 
• Google Cloud Platform (GCP) 
• Strong knowledge of JavaScript (ES6+), HTML5, and CSS3 
• Experience with databases (SQL/NoSQL such as MongoDB, PostgreSQL) 
• Familiarity with version control tools like Git 
• Understanding of CI/CD pipelines and DevOps practices  

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. 

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Here, we don't just adapt to the future – we create it. Embark on a transformative journey as a Full Stack Developer– VP in Securitized Products, where you'll lead end-to-end development of mission-critical financing platforms, blending deep technical expertise with financial acumen to build scalable solutions that redefine how we structure, price, and trade mortgages. while shaping the technical vision for next-generation securitization systems.

To be successful in this role you should possess:

• Proficiency in developing RESTful APIs and microservices using Java Spring Boot. Strong understanding of Spring Framework (e.g., Spring MVC, Spring Security, Spring Data, Spring Batch, Spring AI).
• Hands-on experience with major cloud platforms like AWS, or Azure, including containerization using Docker and Kubernetes, and CI/CD pipeline implementation.
• Graduate Degree, with Hands-on experience with JavaScript, Angular v 17 or higher.
• Versatile technologist capablities of making strategic technical decisions and delivering scalable, cloud-native solutions across the full development lifecycle.

Some other highly valued skills may include:

• Candidates with experience in Banking / Finance domain preferred
• Having experience managing a team is considered an advantage.
• Database proficiency is essential in both SQL systems such as Oracle and MySQL, and NoSQL solutions like MongoDB.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

About the Role 

We are looking for a Senior DevOps Engineer to lead the design, automation, and scaling of our hybrid cloud infrastructure spanning public cloud and private/on-premises environments. You will partner closely with software engineering, security, and product teams to build reliable, secure, and high-performance systems that support rapid product delivery. This is a hands-on role with significant influence over our infrastructure strategy, deployment workflows, and engineering culture. 

Key Responsibilities 

• Architect, deploy, and maintain scalable, highly available infrastructure across both public cloud (AWS, Azure, GCP) and private cloud platforms (OpenStack, VMware vSphere/Tanzu, Nutanix, or similar). 
• Operate and maintain on-premises infrastructure: hypervisors, compute, storage (Ceph, NetApp, SAN/NAS), networking (SDN, VLANs, BGP, MPLS), and hardware capacity planning, alongside their public cloud equivalents. 
• Design and own CI/CD pipelines that deploy seamlessly across public and private environments. 
• Implement and manage Infrastructure as Code (Terraform, Ansible, Pulumi) with strong version control and review practices, using providers for both public and private cloud platforms. 
• Manage container orchestration (Kubernetes, ECS, OpenShift, Rancher) across managed cloud services and self-managed/bare-metal clusters, including upgrades, autoscaling, and workload reliability. 
• Build observability into all systems through logging, metrics, tracing, and alerting (Prometheus, Grafana, Datadog, ELK, or similar) with unified visibility across hybrid environments. 
• Champion security best practices: secrets management, IAM hardening, network segmentation, vulnerability scanning, and compliance (SOC 2, ISO 27001, HIPAA, or data-sovereignty requirements). 
• Lead incident response, root-cause analysis, and post-mortems; drive long-term reliability improvements and SLO/SLA adherence. 
• Optimize cost, capacity, and resource utilization across public cloud spend and on-premises hardware without compromising performance or availability. 
• Partner with data center operations and network providers on hardware provisioning, firmware management, MPLS circuit management, and lifecycle planning. 
• Mentor junior DevOps and software engineers; promote DevOps culture, automation-first thinking, and shared ownership of production. 
• Evaluate and introduce new tools, platforms, and processes that improve developer productivity and system reliability. 

Required Qualifications 

• 5+ years of experience in DevOps, SRE, or Platform Engineering roles, with at least 2 years at a senior level. 
• Deep expertise with at least one major public cloud provider (AWS, Azure, or GCP) in production. 
• Hands-on experience operating private cloud or virtualization platforms (OpenStack, VMware, Nutanix, or equivalent) in production. 
• Strong experience with virtualization, storage systems, and enterprise networking in on-premises environments. 
• Strong hands-on experience with Kubernetes in production, including both managed cloud and self-managed/bare-metal clusters. 
• Proficiency in Infrastructure as Code (Terraform and Ansible strongly preferred). 
• Solid scripting and programming skills in Python, Go, Bash, or similar. 
• Experience designing and operating CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, CircleCI, or ArgoCD. 
• Strong Linux systems administration and networking fundamentals (TCP/IP, DNS, load balancing, VPNs, firewalls, routing, MPLS). 
• Experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, New Relic, ELK, or OpenTelemetry). 
• Proven track record of leading incident response and improving system reliability. 
• Excellent communication skills and the ability to collaborate across engineering, security, infrastructure, and product teams. 

Preferred Qualifications 

• Experience designing hybrid and multi-cloud architectures, including secure connectivity (Direct Connect, ExpressRoute, MPLS, VPN, SD-WAN) between public and private environments. 
• Familiarity with service meshes (Istio, Linkerd), API gateways, and GitOps workflows (ArgoCD, Flux). 
• Background in security-focused or regulated environments and exposure to compliance frameworks. 
• Experience with database administration (PostgreSQL, MySQL, Redis, MongoDB) in cloud-managed and self-hosted setups. 
• Contributions to open-source DevOps or cloud infrastructure tooling. 
• Relevant certifications (AWS Solutions Architect / DevOps Engineer, Azure Administrator, CKA, CKAD, RHCE, VMware VCP, OpenStack Certified Administrator, HashiCorp Terraform Associate). 

Role: Data Engineer

 Experience: 5+ Yrs

Type: Hybrid (3 Days a week)

Location: Chennai, Bangalore, Hyderabad, Pune, Kolkatta

End Client: Cognizant

Contract Duration: 6 Months

Shift:- 10 AM - 7 PM IST

Must Have: 

* Strong experience in Python

* Expertise in Data Engineering Frameworks

* Hands-on experience with ETL processes

* CI/CD

* Experience working on GCP (Google Cloud Platform)

About My Client Company

We're building the learning infrastructure that transforms AI agents into true digital workers. While today's agents can reason and plan, they fail to do meaningful work because they lack real experience operating in apps. My Client Product gives agents continuously improving, reusable skills across 1000+ production-grade app connectors including Gmail, Linear, and Hubspot. We handle authentication, tool routing, retries, failure handling, and observability, making every action safe and dependable.

About the Role

Every enterprise is racing to make AI work — not as a demo, but as infrastructure that runs their business. My Client Product is becoming the critical layer that makes this possible: the platform that connects AI agents to 250+ real-world applications with production-grade auth, execution, and reliability.

We've built this for the cloud. Now we need to build it for the enterprise — and that means rethinking the platform from the ground up with the right abstractions, primitives, and architectural decisions that let us serve a massive, diverse set of enterprise customers without bespoke engineering for each one. This is a founding role.

Your Impact

• Agent infrastructure platform: The foundational layer that enterprise AI agents run on — governance, observability, and control planes for MCP-powered agent ecosystems. You'll define how organizations monitor, audit, and manage AI agents operating at scale across their systems
• The integration gateway: The secure, reliable bridge between an enterprise's AI agents and the outside world — every SaaS tool, internal system, and API they need to act on. Not just connectors, but a platform-grade gateway with the right trust, permissioning, and routing primitives
• Platform primitives for scale: Multi-tenancy, isolation, configuration, and extensibility abstractions that let Composio serve thousands of enterprise customers without linear engineering cost
• Enterprise-grade architecture: Deployment flexibility, security, and compliance as first-class platform capabilities — not bolted-on afterthoughts
• The repeatable deployment motion: Turn enterprise onboarding from a services engagement into a product experience. Shorter cycles, fewer custom touches, more self-serve

What you bring

• You've built platforms at genuine scale — not just high user counts, but high complexity: many customer types, deployment models, and integration surfaces
• You think in abstractions and primitives. Your instinct is to find the right foundational model, not to solve each problem individually
• You've shipped enterprise product capabilities (deployment flexibility, security, admin tooling, compliance) and understand them as product problems, not just checkboxes
• You've built or shipped an AI product — or you're the person who can't stop tinkering. You're building agents on weekends, stress-testing the latest models, experimenting with MCP, and forming your own opinions on where agent architectures are headed. You have a point of view on this space, not just a resume line
• You're a force multiplier. When you join a team, the entire product moves faster because the platform decisions are right

Skills & Expertise

Platform Engineering, AI Infrastructure, Agentic AI, AI Agents, MCP (Model Context Protocol), Distributed Systems, Enterprise Architecture, Multi-Tenant Architecture, Backend Platform Engineering, Enterprise SaaS, API Platform Engineering, Integration Platforms, SaaS Connectors, Cloud Infrastructure, AWS, GCP, Kubernetes, Docker, Terraform, Microservices, Event-Driven Architecture, API Gateway, OAuth 2.0, RBAC, IAM, Observability, OpenTelemetry, Prometheus, Grafana, Reliability Engineering, SRE, Python, Golang, Node.js, TypeScript, REST APIs, GraphQL, AI Orchestration, LLM Infrastructure, LangChain, LangGraph, OpenAI APIs, Claude APIs, RAG, Workflow Automation, AI Tool Routing, Enterprise Security, Compliance Engineering, Deployment Architecture, Configuration Management, Extensible Systems, Scalability Engineering, High-Scale Systems, Technical Strategy, Platform Primitives, Developer Platforms, Enterprise Integrations, Infrastructure Engineering, Founding Engineer Mindset.

This role demands deep platform thinking. You've designed systems where the abstractions were the product — where getting the primitives right meant the difference between a product that scales and one that drowns in customer-specific code.

You've done this within large organizations and seen what "enterprise-grade" actually means when thousands of teams depend on your platform. But you've also operated in environments where you had to build fast, make tradeoffs, and ship before the architecture was perfect.

The combination matters. Big-company pattern recognition with small-company intensity.

What We Offer

• Lunch and dinner are provided in the office
• $200/month learning and development budget
• $1,000/month AI tool experimentation budget to automate, accelerate, and improve how you work
• High-ownership role with direct exposure to leadership and company-building decisions
• Competitive salary and equity

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

Job Title: Lead Software Engineer

Experience: 4 - 12 yr

Department: Software

Reports To: Senior Software Engineer / Software Architect

Purpose of the Role

The incumbent will be responsible for designing and developing robust software solutions for products in the domains of Warehouse Automation, Industrial Automation, Robotics, and IoT. The role includes defining software architecture, ensuring scalability and performance, and mentoring the development team to drive technical excellence and innovation.

Technical Skills Required

• Proven experience in designing, developing, and deploying high-volume, scalable applications.
• Expertise in distributed systems, microservices, and central system architectures.
• Programming & Frameworks: Proficiency in Java 17+.
• Experience with frameworks such as Spring, Hibernate, Kubernetes, and RESTful APIs.
• Knowledge of JPA, MS SQL, and database modelling/design.
• Hands-on experience with GCP, AWS, or Azure for cloud architecture.
• Familiarity with virtualization and containerization technologies.
• Strong skills in data modelling and database design.
• Knowledge of secure coding practices.
• Tech stack: Java, MSSQL, MySQL, Spring Boot, Redis, Data Structures, Linux, basics of Kubernetes.

Behavioural Skills Required

• Attention to Detail (Proficient)
• Problem Solving
• Decision Making
• Collaborative approach
• Adaptability to a volatile environment
• Accountability
• Good Leadership skills

Job Responsibilities

• Understand requirements and define database and application structure under guidance of Software Architect.
• Write high-quality, scalable, and efficient code.
• Prepare Functional Requirement Documents (FRD) based on inputs from BA team.
• Guide junior and mid-level developers and provide technical support.
• Collaborate to identify and fix technical issues in UAT/Production.
• Work closely to meet project deadlines.
• Take ownership of product implementations at customer sites.
• Hands-on development for assigned modules/products.
• Handle application performance in production.
• Work with customers to understand automation requirements.
• Review and merge code changes from the team.
• Conduct sprint meetings, demos, and resolve development roadblocks.
• Optimize code for performance and efficiency.

GCP Data Engineer

Experience: 8 – 15 yrs

Grade: C2/D1

Skill: GCP + Python/Pyspark

NP: Immediate joiners

• 8+ years of hands-on experience in Python.
• 8+ years of hands-on experience in Data Engineering.
• 5+ Years of hands-on experience in GCP Big Query.
• Experience in building scalable data pipelines and automation frameworks.
• Experience migrating data and pipelines from SQL Server to GCP Big Query.
• Familiarity with CI/CD tools and Agile methodologies.
• Good understanding on Data Governance, Data Quality, Metadata, Lineage
• Expertise in Data Model design in Big query.
• Expertise in writing optimal Big query SQL and Stored Proc.
• Expertise in GCS Cloud Storage, Pub Sub, Cloud Composer, DAG, Apache Airflow, Data Flow, Data Proc, Data Plex, Cloud Run.
• Expertise in Vertex AI and Feature Store.
• Expertise in Spark and Apache Beam is desirable.

Email resumes to: naveenkb @ 10xscale.ai

GCP DevOps Engineer – Job Description (2+ Years Experience)

We are looking for a motivated and skilled GCP DevOps Engineer with 2+ years of hands-on experience in cloud infrastructure, CI/CD pipelines, automation, and deployment processes on Google Cloud Platform (GCP). The ideal candidate should have experience in cloud operations, monitoring, containerization, and DevOps best practices.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for application deployment.
• Manage and monitor cloud infrastructure on Google Cloud Platform (GCP).
• Work with development and QA teams to automate build, deployment, and release processes.
• Handle infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform.
• Manage containerized applications using Docker and Kubernetes (GKE).
• Monitor system performance, troubleshoot issues, and ensure high availability.
• Implement security best practices, backup strategies, and access management.
• Support production deployments and resolve environment-related issues.
• Maintain documentation for infrastructure, deployment, and operational procedures.

Required Skills

• 2+ years of experience in DevOps or Cloud Engineering.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Cloud Build.
• Knowledge of Docker and Kubernetes (GKE).
• Experience with Terraform or other IaC tools.
• Strong understanding of Linux administration and shell scripting.
• Experience with version control tools like Git.
• Knowledge of monitoring tools such as Prometheus, Grafana, or Cloud Monitoring.
• Understanding of networking, security, and cloud architecture concepts.

Good to Have

• Experience with Ansible or other configuration management tools.
• Knowledge of Python, Bash, or scripting languages.
• GCP Certifications are an added advantage.
• Exposure to Agile/Scrum environments.

Engineering Manager

Total Experience - 10+ Years Experience

Work Mode - Remote 

What You’ll Do

Core Responsibilities

• Lead end-to-end project delivery from planning to execution.
• Communicate effectively with clients, stakeholders, and internal teams.
• Prior experience in Infrastructure Engineering or Application Development environments.
• Drive technical discussions around system architecture, scalability, and delivery.
• Balance client expectations, project priorities, and team bandwidth effectively.
• Mentor and guide team members while ensuring healthy work-life balance.
• Continuously learn and stay updated with evolving technologies and industry practices.

Management Responsibilities

• Act as the primary point of contact for clients and delivery teams.
• Track milestones, risks, dependencies, and project schedules proactively.
• Create and maintain regular project status reports and delivery metrics.
• Establish efficient technical and operational processes for teams.
• Provide accurate effort estimations and prioritize tasks across modules and teams.
• Build strong feedback loops with internal and external stakeholders.

Organization Building

• Drive key initiatives with organization-wide impact across teams and functions.
• Improve reporting, operational efficiency, and delivery management practices.

What We’re Looking For

• 10+ years of experience in software delivery and engineering management.
• Experience managing and mentoring teams of 10+ members.
• Strong understanding of SDLC, system design, and software architecture.
• Hands-on experience delivering projects in both Fixed Scope and T&M models.
• Background in engineering delivery, ideally having grown from a developer role.
• Strong analytical and reporting skills with experience in delivery metrics.
• Excellent client-facing communication and stakeholder management abilities.
• Experience handling high-pressure situations, risks, and disaster management scenarios.
• Ability to understand business priorities and align team execution accordingly.

• Design, develop, and maintain integration solutions using MuleSoft Anypoint Platform.
• Create and manage APIs using RAML specifications, including designing, documenting, and versioning APIs.
• Develop APIs following API-led connectivity (System, Process, Experience layers).
• Use MuleSoft APIs effectively for orchestration of business workflows and integrations.
• Deploy and manage Mule applications in CloudHub and Runtime Fabric environments.
• Implement integrations using MuleSoft connectors such as HTTP, Database, JMS, Salesforce, and SAP.
• Design and implement message routing using:

Choice routers

Scatter-Gather

• Work with messaging patterns such as:

Request-reply

Publish-subscribe

Content-based routing

• Integrate with messaging systems such as Kafka / Google Pub/Sub, ensuring:

Asynchronous processing

Retry mechanisms

Idempotent message handling

• Reliable event-driven communication
• Implement robust error handling strategies in MuleSoft, including global error handlers and custom error handling flows.
• Design resilient systems using:

Retry strategies

Circuit breakers

• Maintain API versions using URI versioning or header-based versioning, manage lifecycle through API Manager, and ensure backward compatibility.
• Implement strong logging and monitoring strategies for observability and troubleshooting.
• Apply security best practices including OAuth2, JWT, TLS, and API policies.
• Write and maintain MUnit test cases to ensure code quality and reliability.
• Use Git for source control and work with CI/CD tools such as Jenkins or GitHub Actions for:
• Troubleshoot, debug, and optimize MuleSoft applications and integrations.
• Collaborate with cross-functional teams including backend, frontend, and DevOps.
• Participate in code reviews, design discussions, and architecture decisions.
• Ensure high performance, scalability, and reliability of integration solutions.

Mandatory Skills

• Strong experience with MuleSoft Anypoint Platform
• Hands-on experience in RAML design and API development
• Experience deploying APIs in CloudHub and/or Runtime Fabric
• Knowledge of Docker and Kubernetes
• Strong understanding of API security (OAuth2, JWT, TLS, API policies)
• Experience with MuleSoft connectors (HTTP, DB, JMS, Salesforce, SAP)
• Knowledge of integration patterns, message routing, and event-driven architecture
• Experience with Kafka / Google Pub/Sub or similar messaging systems
• Strong understanding of error handling, retries, DLQ, and idempotency patterns
• Hands-on experience with MUnit testing

Experience implementing logging and monitoring strategies

About Us:

We are hiring for a pre seed funded startup called Zeromoblt (https://zeromoblt.com/), a high-agency Hyderabad-based startup revolutionizing student transportation with lean, intelligent tech stacks.

Our mission: architect world-class systems from scratch—fast, scalable, and algorithmically sharp—using Kotlin, React, AWS (EC2, IoT, IAM), Google Maps, and multi-cloud setups. Stealth mode operations mean you're building 0→1 products with founders, not fixing tickets.

What You'll Do

• Lead end-to-end ownership of complex systems: design, build, deploy, monitor, and iterate at scale.
• Architect high-performance backends in Kotlin (or JVM langs) that handle real-time routing and IoT data.
• Craft scalable React UIs that power ops dashboards and parent-facing apps.
• Drive cloud decisions across AWS, Azure/GCP—optimising costs for our bootstrap runway.
• Apply DSA/system design to solve hard problems like dynamic route optimization and predictive scaling.
• Shape the engineering roadmap: propose, prioritise, and ship features with founders.
• Mentor juniors while executing solo on high-impact bets—no layers, just results.

We're Looking For

• 3-6 years of hands-on engineering where you've owned and shipped production systems (prove it with code/stories).
• Elite CS fundamentals: advanced DSA, system design (distributed systems a must), design patterns.
• Mastery of Kotlin/Java + modern React; real AWS experience (EC2, IAM, CLI—you know our stack).
• Proven "leap-taker": startup grit, side projects, or open-source that screams hunger.
• Figure-it-out velocity: you thrive in chaos, learn our domain overnight, and deliver 10x faster than peers.

This Role Is Not For You If…

• You need structured roadmaps, PM hand-holding, or big-tech process.
• Comfort > impact: stable salary over equity upside and chaos.
• You've never worn all hats (dev, ops, product) in a resource-constrained environment.

Why Join Us

• Massive ownership: lead tech for 10k+ students, direct founder access, shape ZeroMoblt's scale.
• Flat, high-trust team: flexible Hyderabad/remote, no bureaucracy.
• Hungry culture: we hire hustlers scaling from 700 to 10k students your wins are visible daily.
• Hungry to Leap? Apply now!

Mandatory Skills: ETL, Data Warehousing, Python, GCP Services

Required Skills:

● Bachelor’s degree in Computer Science or similar field or equivalent work experience.

● 4+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.

● Expert with data warehousing concepts, strategies, and tools.

● Strong SQL background.

● Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.

● Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS

● Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).

● Knowledge of AWS and Azure Cloud is a plus.

● Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources.

● Experience in integration using APIs, XML, JSONs etc.

● In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes

● Good understanding of SDLC, Agile and Scrum processes.

● Strong problem-solving, multi-tasking, and organizational skills.

● Highly proficient in working with large volumes of business data and strong understanding of database design and implementation.

● Good written and verbal communication skills.

● Demonstrated experience of leading a team spread across multiple locations.

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

About the Role

At Techjays, we build production-grade AI systems for global clients. We are looking for a Solution Architect who can bridge the gap between client needs and technical delivery — someone who can walk into a client room, understand their business challenges, and walk out with a compelling, technically sound AI solution.

This role sits at the intersection of pre-sales, solutioning, and delivery governance.

What You'll Do

• Own end-to-end solutioning from client discovery to architecture design
• Partner with pre-sales teams on RFPs, proposals, and client presentations
• Define architectures for LLM integrations, RAG pipelines, and agentic workflows
• Conduct architecture reviews and technical assessments for ongoing projects
• Act as a trusted technical advisor to enterprise clients during pre-sales

Key Skills

• Python, REST APIs, Microservices, Distributed Systems
• AWS / Azure / GCP, Docker, Kubernetes, CI/CD
• LLM Integrations, RAG Pipelines, AI Agents, Vector Databases
• Enterprise data architecture and integration patterns
• Strong client communication and presentation skills

Who You Are

• Client-first mindset — listens, understands, and translates business pain into technical clarity
• Strong communicator comfortable with C-level stakeholders
• High ownership — accountable for every solution you sign off on
• Collaborative across sales, delivery, and engineering

What We Offer

• Flexible work environment
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs)
• Exposure to global clients and high-impact pre-sales engagements
• A culture of clarity, integrity, and continuous growth

Title - Engineering Manager

Location – Remote

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people.

We believe that every role has meaning, and every Egnyter should

be respected. With 17,000 customers worldwide and growing, you

can make an impact by protecting their valuable data. When joining

Egnyte, you’re not just landing a new career, you become part of a

team of Egnyters that are doers, thinkers, and collaborators who

embrace and live by our values:

• Invested Relationships
• Fiscal Prudence
• Candid Conversations

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content

security and governance that enables organizations to

better protect and collaborate on their most valuable

content. Established in 2008, Egnyte has democratized

cloud content security for more than 17,000 organizations,

helping customers improve data security, maintain

compliance, prevent and detect ransomware threats, and

boost employee productivity on any app, any cloud,

anywhere. For more information, visit www.egnyte.com

WHAT YOU’LL DO & QUALIFICATIONS:

Experience:

• 12+ years of software engineering experience, with 4+ years managing backend or infrastructure teams (including managing senior and staff engineers).
• Proven track record operating high-scale production systems— petabyte-scale, with tens of thousands of requests per second or more.
• Deep, hands-on expertise with object stores or distributed storage systems, including consistent hashing, quorum and replication protocols, erasure coding, storage tiering, compaction, garbage collection, and the trade-offs in an S3-style API.
• Strong systems fundamentals: storage, networking, OS, concurrency, and performance engineering.

Technical skills:

• Strong coding ability in Java and Python.
• Production experience with the surrounding stack: nginx,
• HAProxy, Redis, MySQL. Practical experience running
• workloads on GCP and Azure, and a working knowledge of
• AWS S3 (API semantics, consistency model, operational
• behavior).
• Experience with observability, capacity planning, and cost
• engineering at scale.

Leadership:

• A player-coach mindset — leading through clarity of technical
• vision, strong hiring, and high standards, not through distance
• from the work.
• Track record of building durable, inclusive teams and
• developing engineers into tech leads and managers.
• Excellent written and verbal communication.
• Calm and effective during incidents; thoughtful and structured
• afterward.

Nice to Have

• Experience building or operating an S3-compatible service, or
• contributions to an open-source storage system (Ceph, MinIO,
• SeaweedFS, HDFS, Cassandra, etc.).
• Experience with content-addressable storage, deduplication,
• encryption-at-rest, and compliance regimes (SOC 2, HIPAA,
• FedRAMP, GDPR).
• Experience running multi-region, multi-cloud storage
• footprints and managing petabyte-scale migrations

BENEFITS:

• Competitive salaries
• Medical insurance and healthcare benefits for you and your
• family
• Fully paid premiums for Term life insurance
• Personal Accident Insurance
• Flexible hours and PTO
• Gym and fitness reimbursement
• Childcare reimbursement

Equal Employment Opportunity

At Egnyte, we celebrate our unique differences and thrive on our

diversity for our employees, our products, our customers, our

investors, and our communities. Our global Egnyte Employee

Communities (EECs) support representation and inclusion across our

diverse workplace. Egnyters are encouraged to bring their whole

selves to work and to appreciate the many differences that

collectively make Egnyte a higher-performing company and a great

place to be.

Any employees with questions or concerns about equal employment

opportunities in the workplace are encouraged to bring these issues

to the attention of hr at egnyte.com. Egnyte will not allow any form of

retaliation against employees who raise issues of equal employment

opportunity. If employees feel they have been subjected to any such

retaliation, they should contact hr at egnyte.com. To ensure the

workplace is free of artificial barriers, violation of this policy

including any improper retaliatory conduct will lead to discipline, up

to and including discharge. All employees must cooperate with all

investigations conducted pursuant to this policy.

Immediate Hiring: GCP DevOps Engineer | Mumbai & Bengaluru (On-site)

OpsTree Global is urgently hiring a GCP DevOps Engineer with 4–9 years of experience for immediate requirements in Mumbai and Bengaluru.

Key Skills

• Google Cloud Platform (GCP)
• Terraform / Infrastructure as Code (IaC)
• Kubernetes & Helm Charts
• CI/CD – Jenkins, GitLab CI, GitHub Actions
• Linux Administration
• Scripting – Python / Go / Java
• 
  

Role Responsibilities

• Build and manage scalable cloud infrastructure on GCP
• Automate deployments and infrastructure provisioning
• Ensure system reliability, monitoring, and performance optimization
• Collaborate with development and operations teams for seamless delivery

📍 Locations: Mumbai & Bengaluru (On-site)

⚡ Immediate Joiners Preferred

💼 Experience: 4–9 Years

Position: Cloud Sales Executive Industry: Web Hosting & Cloud Solutions Experience: 1–4Years Location: Amrapali Circle, Vaishali Nagar, Jaipur. Employment Type: Full-Time About Us: We are a fast-growing web hosting and cloud services provider, delivering secure, scalable, and reliable digital infrastructure to businesses across industries. With a commitment to performance, innovation, and customer success, we empower clients with world-class solutions like Shared Hosting, VPS, Dedicated Servers, Reseller Hosting, and cloud offerings on AWS, Azure, and Google Cloud. We're looking for a Senior Business Development Executive who thrives in a fast-paced, tech-driven environment and is passionate about driving growth through strategic outreach and relationship building. Role Overview: As a Senior Business Development Executive, you will be responsible for identifying, engaging, and converting prospective clients into long-term partners. You will leverage multiple channels such as cold calls, emails, LinkedIn networking, and industry events to generate quality leads and close sales. This role requires in-depth IT sales knowledge, excellent communication skills, and a solid understanding of cloud technologies and modern hosting infrastructure. You’ll be the bridge between client needs and our technical capabilities, offering customized solutions that drive real business value. Key Responsibilities: o Proactively identify potential clients using calls, emails, social media (especially LinkedIn), and industry connections o Build and maintain a pipeline of qualified leads in Google Sheets, ensuring all interactions are logged and updated o Understand client requirements, pain points, and business goals to recommend suitable hosting or cloud solutions o Conduct product walkthroughs, presentations, and consultations to guide decision-making o Prepare professional, customized proposals, pricing quotations, and service agreements o Handle negotiations with confidence, ensuring win-win outcomes for both client and company o Will be responsible for B2B and B2C and Pre-Sales and Post Sales and Tech teams to ensure accurate scoping and troubleshooting. o Close deals and ensure a smooth handoff to onboarding and support teams o Stay updated with industry trends, competitor activities, and emerging cloud technologies (AWS, Azure, GCP, Linode) o Educate clients on the benefits of moving to the cloud or upgrading their hosting infrastructure o Work with the marketing team to align outreach strategies and campaign goals o Participate in webinars, exhibitions, and other marketing events to represent the company What We’re Looking For: • 4–6 years of proven experience in business development, preferably in web hosting, cloud, or IT infrastructure sales • Strong knowledge of web hosting services and cloud technologies like AWS, Azure, GCP, Linode and more. • Exceptional written and verbal communication skills • Ability to prepare accurate, compelling quotations and proposals • Self-driven, goal-oriented, and confident in both outbound sales and consultative selling • Strong presentation, negotiation, and relationship management skills • Ability to work independently while contributing to a collaborative team culture Preferred Skills (Bonus Points): • Technical certifications in cloud platforms (AWS/Azure/GCP, Linode) • Experience in managed web hosting services • Basic understanding of B2B and B2C Selling What We Offer: • Salary as per industry with performance-based incentives • A supportive and collaborative team environment • Opportunities for learning and certification in cloud and IT technologies • Career growth in a rapidly expanding company 

Designation: Cloud Sales Specialist (AWS/GCP/AZURE) (Field Sales)

Location: Mumbai (Andheri West) / Bengaluru

Experience: 5 to 10 Years relevant experience

Industry: Cloud Solutions/IT Services

About the Role

We are looking for a high-performing Sales Specialist (Field Sales) with strong industry connect & solution selling and a proven ability to close high-value deals.

This role is ideal for someone who is a true sales hunter, with strong CXO-level connect, ability to independently drive revenue through field engagement, principal vendors’ connections and strategic selling.

Important Note 

This role strictly requires hands-on Cloud Sales experience and existing CXO connections. Profiles from non-cloud or purely generic IT sales backgrounds will not be considered.

Key Responsibilities

• Own and drive end-to-end field sales for Cloud Services (AWS/Azure/GCP)
• Manage the region by Identifying, acquiring, and growing new business opportunities
• Build and leverage CXO-level relationships to drive business
• in-person client meetings, presentations, and solution positioning
• Collaborate with pre-sales & technical teams for solution-based selling
• Manage complete sales cycle: prospecting → negotiation → closure
• Consistently achieve and exceed sales targets
• Maintain strong pipeline management and forecasting discipline

Must-Have Experience

• 5-10 years in core Cloud Sales (AWS / Azure / GCP / Cloud Solutions)
• Proven track record in closing high-value deals
• Strong existing CXO / decision-maker connects (mandatory)
• Hands-on experience in field sales & direct client engagement
• Strong understanding of cloud ecosystem & solution selling

What Makes You a Great Fit

• A go-getter sales professional with strong hunting ability
• Ability to open doors, build trust, and close deals independently
• Strong network across decision-makers and business stakeholders
• High ownership mindset with a target-driven approach

What’s in It for You

• Opportunity to work directly with CXOs and key decision-makers
• Fast-track growth into leadership roles
• Exposure to leading cloud ecosystems (AWS / Azure / GCP)

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Role Overview:

Virtana is looking for a Senior DevOps Engineer to join our R&D Infrastructure team. In this role, you won't just follow conventions — you'll help redefine them. You will own the architecture, build, and day-to-day operations of the GCP-based cloud platform that powers Virtana's SaaS products and the AI-driven observability experience our Global 2000 customers depend on. This is a hands-on senior individual contributor role with meaningful technical leadership scope, working alongside engineers and architects on a unified observability platform.

Work Location: Pune

Job Type: Hybrid

Role Responsibilities:

• GCP Cloud Operations: Develop, deploy, operate, and support production cloud infrastructure primarily on GCP — leveraging GKE, BigTable, BigQuery, Dataflow, Cloud Storage, IAM, and core networking services.
• Reliability & SLAs: Ensure production systems are running at all times with multiple levels of redundancy to meet committed SLAs; lead incident response, root cause analysis, and post-incident reviews.
• Build & Release Automation: Design, implement, and continuously improve scalable CI/CD pipelines and test frameworks leveraged by QA and development teams across the company.
• Infrastructure as Code: Manage large-scale, repeatable deployments using Terraform, Ansible, Puppet, or SaltStack; champion Git-based workflows and version control standards for distributed engineering teams.
• Security & Availability: Maintain the ongoing maintenance, security, patching, and availability of services in line with tight operations, security, and procedural models.
• Monitoring & Alerting: Plan and deliver high-value monitoring and alerting features to support operations, support, and customer-facing reliability — eating our own dog food with the Virtana Platform wherever possible.
• Capacity & Cost: Forecast capacity, plan upgrades, patches, and migrations, and drive cloud cost efficiency across hybrid and multi-cloud environments.
• Cross-Functional Partnership: Work with development, operations, and support personnel to identify, isolate, and diagnose issues; handle support escalations and drive permanent fixes.

Required Qualifications:

• Bachelor's degree in Computer Science / Engineering or equivalent relevant experience.
• 5–7 years of professional hands-on DevOps / SRE experience supporting production cloud environments.
• Strong, demonstrable production experience on GCP — including GKE, BigTable, BigQuery, Dataflow, IAM, and core GCP networking services.
• Deep, hands-on expertise with container orchestration (Kubernetes) and Docker in production.
• Advanced proficiency with at least one infrastructure-as-code / configuration management tool: Terraform, Ansible, Puppet, or SaltStack.
• Solid understanding of networking, firewalls, load balancers, DNS, and database operations.
• Strong working knowledge of Git-based workflows and version control standards for distributed engineering teams.
• Comfort operating hybrid environments that include both Linux and Windows ecosystems.
• Excellent verbal and written communication skills, with the ability to explain highly technical topics to both technical and non-technical audiences.
• Self-motivated, detail-oriented, and able to work both independently and within a globally distributed team.

Good to Have:

• Strong scripting skills and a demonstrated ability to automate operational toil — Python preferred; Bash, Go, or Groovy a plus.
• Hands-on experience designing and operating CI/CD pipelines with Jenkins (Spinnaker, GitHub Actions, or GitLab CI also welcome).
• Exposure to AWS or other public clouds in addition to GCP.
• Experience operating SaaS platforms built on microservices architectures.

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

About the Role

We are seeking a proactive and detail-oriented Site Reliability Engineer (SRE) with 3+ years of experience to ensure high availability, reliability, and performance of production systems.

This role focuses on automation, observability, incident management, and cross-team coordination to drive operational excellence.

Key Responsibilities

· Maintain reliable, scalable, and secure production environments.

· Implement and manage monitoring, alerting, and logging solutions.

· Contribute to defining and tracking SLIs/SLOs and support error budget practices.

· Automate operational tasks to improve efficiency and reduce manual effort.

· Perform troubleshooting and Root Cause Analysis (RCA) for production incidents.

· Optimize system performance, availability, and capacity.

· Maintain runbooks, SOPs, and incident documentation in Confluence.

· Adhere to change management, deployment governance, and disaster recovery standards.

· Support incident response for critical production services.

Collaboration & Tools

· Coordinate with external vendors and internal cross-functional teams.

· Work closely with Engineering, Product Owners, and Operations teams.

· Manage incidents and changes using ServiceNow & JIRA.

· Collaborate through Slack and structured communication channels.

Technical Skills

Systems & Cloud

· Strong knowledge of Windows and Linux/Unix systems.

· Solid understanding of networking fundamentals (DNS, TCP/IP, Load Balancing, Firewalls).

· Experience with at least one cloud platform (AWS, Azure, or GCP).

Automation & CI/CD

· Proficiency in one scripting/programming language (Python, Go, Bash, PowerShell, or Java).

· Understanding of CI/CD pipelines and automation practices.

Containers & Observability

· Hands-on experience with Docker and Kubernetes.

· Experience with monitoring tools such as Grafana or Power BI.

· Ability to analyze logs, metrics, and traces for troubleshooting.

ITSM & Documentation

· Experience with ServiceNow & JIRA (incident/change/problem workflows).

· Working knowledge of Confluence for technical documentation and knowledge management.

Additional Experience (Preferred)

· Background in DevOps, Cloud Engineering, or Platform Engineering.

· Understanding of security best practices and compliance standards.

· Familiarity with AI-assisted engineering tools (Claude Code, Jellyfish, GitHub Copilot).

· Exposure to large-scale or production-grade systems.

Soft Skills

· Strong analytical and troubleshooting mindset.

· Excellent written and verbal communication skills.

· Effective stakeholder and vendor coordination.

· Ownership-driven and composed during high-severity incidents.

Applying to jobs at Ampera is completely free. We never ask candidates for any payment.

Company Description

Eassy Onboard LLP is a team of Databricks Certified Data Engineers committed to empowering businesses through data-driven solutions. Specializing in automated workflows, scalable architectures, optimized data pipelines, and AI solutions, we help organizations reduce manual effort, optimize costs, and achieve reliable insights. We ensure secure data operations with robust validation processes and strong data integrity. As an Employer of Record (EOR), we assist global companies in hiring top Indian talent, managing payroll, compliance, and regulatory requirements. Our mission is to accelerate enterprise transformation and enable companies to build future-ready, compliant teams.

Role Description

We are seeking a Senior Data Engineer with deep expertise in Spark/PySpark/SQL to join our data team.

This is a hands-on technical role for someone passionate about building scalable data systems, mentoring engineers, and shaping data strategy.

You will architect systems that power high-performance data processing, enable advanced analytics, and accelerate AI initiatives.

What You'll Do

• Design and evolve scalable, distributed data infrastructure across cloud platforms including GCP and AWS.
• Build and maintain real-time and batch data processing pipelines supporting AI/ML workloads, consumer applications, and analytics.
• Develop and manage integrations with third-party e-commerce platforms to expand the data ecosystem.
• Ensure data availability, reliability, and quality through monitoring and automated auditing.
• Partner with engineering, AI, and product teams on data solutions for business-critical needs.
• Mentor and support data engineers, establishing best practices and code quality standards.

Qualifications

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of software development and data engineering experience with ownership of production-grade data infrastructure.
• Deep expertise scaling Spark, PySpark, and SQL in production, including Databricks or DataProc on GCP.
• Strong understanding of distributed computing and modern data modeling for scalable systems.
• Proficient in Python with experience implementing software engineering best practices.
• Hands-on experience with both relational and NoSQL systems including MySQL, MongoDB, and Elasticsearch.
• Strong communicator with experience influencing cross-functional stakeholders.

Nice to Have

• Experience with job orchestration and containerization tools such as Airflow and Docker.
• Experience working with vector stores and knowledge graphs.
• Experience working in early-stage, high-growth environments.
• Familiarity with MLOps pipelines and integrating ML models into data workflows.
• A proactive, problem-solving mindset with a passion for innovative solutions.

we are currently hiring for Junior DevOps Developer 

Can you pls check below Job Description for the post 

Job Description: Junior DevOps Developer (0.6 – 1.5 Years Experience)

Job Title: Junior DevOps Developer

Experience: 6 months to 1.5 years

Employment Type: Full-time

About the Role:

We are looking for a motivated Junior DevOps Developer to support our development and operations teams. You will assist in managing cloud infrastructure, improving deployment processes, and maintaining system reliability.

Key Responsibilities:

• Assist in managing and maintaining cloud infrastructure (AWS/GCP/Azure)
• Support CI/CD pipeline setup and maintenance
• Help automate deployment processes and routine tasks
• Monitor system performance and troubleshoot issues
• Assist in containerization using Docker and Kubernetes
• Perform root cause analysis for production issues
• Collaborate with developers to improve system performance and scalability
• Maintain documentation for infrastructure and processes
• cloud platform and infrastructure include hetzener

Required Skills:

• Basic understanding of DevOps concepts and workflows
• Knowledge of cloud platforms like AWS, GCP, or Azure
• Familiarity with Docker and Kubernetes
• Basic understanding of Infrastructure as Code tools (Terraform is a plus)
• Knowledge of Git and version control systems
• Basic scripting knowledge (Bash/Python preferred)

Good to Have:

• Exposure to CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD)
• Understanding of monitoring tools (Grafana, Prometheus) 
• Understanding of monitoring tools (Grafana, Prometheus) 

You can contact me on this WhatsApp number: Nine three one six one two zero one three two

Location: Chennai (Hybrid)

Commitment: Minimum 2 Years (Excluding 3 months of Probation)

Experience Level: Fresher / Entry Level

Job Overview:

We are looking for a skilled and versatile System Administrator with strong expertise in Windows and Linux environments, along with working knowledge of cloud infrastructure, cybersecurity, automation, and AI/ML systems.

The ideal candidate should be capable of handling enterprise IT infrastructure, supporting multi-cloud environments, and contributing to AI/ML deployment and integration activities. Strong communication skills and the ability to collaborate with technical and client-facing teams are essential.

Key Responsibilities:

• Manage and maintain Windows and Linux server environments ensuring stability, performance, and security.
• Support deployment, configuration, and administration of IT infrastructure components across on-prem and cloud environments.
• Monitor system health, troubleshoot issues, and ensure high availability of services.
• Work with cloud platforms such as AWS, Microsoft Azure, and Google Cloud.
• Assist in implementation of security solutions including IAM, firewalls, endpoint protection, and SIEM tools.
• Develop and maintain automation scripts using Python, PowerShell, or JavaScript.
• Support deployment and integration of AI/ML models into production environments.
• Collaborate with engineering and development teams to optimize infrastructure and application performance.
• Participate in technical discussions, documentation, and client support activities when required.

Required Skills & Qualifications:

• Strong knowledge of Windows and Linux system administration.
• Good understanding of networking, servers, and cloud fundamentals.
• Experience or exposure to AWS, Azure, or GCP.
• Proficiency in scripting languages such as Python, PowerShell, or JavaScript.
• Basic understanding of cybersecurity principles and system hardening.
• Familiarity with AI/ML concepts and deployment workflows is an advantage.
• Strong analytical and troubleshooting skills.
• Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience with virtualization and containerization (VMware, Docker, Kubernetes).
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to MLOps concepts and model deployment workflows.
• Understanding of monitoring tools and logging systems.
• Experience working in hybrid or enterprise IT environments.

What We Offer:

• Exposure to enterprise-level infrastructure and cloud environments.
• Opportunity to work on real-world AI/ML integration projects.
• Structured career growth into Cloud, DevOps, Security, or AI/ML engineering roles.
• Collaborative work environment with hands-on learning opportunities.
• Competitive compensation and long-term growth path.

Who Should Apply:

• Freshers or candidates with up to 2 years of experience.
• Candidates passionate about system administration, cloud computing, and AI/ML.
• Individuals eager to work in infrastructure-heavy, production environments.
• Strong communicators who can work in team-oriented and client-facing roles.

We're hiring a Tech Lead to own the backend architecture and engineering culture of a fast-growing HR-Tech platform used by 100+ enterprise clients across India.

This isn't a "manage the team and attend standups" role. You'll be hands-on with architecture decisions, own the deployment environment, and work directly with founders who came from Gallup and IIM Ahmedabad.

The stack is Node.js, Docker, Kafka, and cloud (AWS / Azure / GCP).

The role is right for you if:

- You've led backend teams and still enjoy being close to the code

- You've built or significantly improved a CI/CD pipeline in production

- You can explain a technical trade-off to a business stakeholder without making them feel talked down to

- You want ownership, not just a title.

What you'll be doing:

- Designing and maintaining backend systems built for scale, security, and reliability

- Leading and mentoring a team of backend engineers through sprint cycles and beyond

- Owning cloud infrastructure (AWS / Azure / GCP) and keeping deployments stable and fast

- Improving CI/CD practices and automating what shouldn't require human intervention

- Translating product requirements into technical specs the team can actually execute

- Conducting code reviews that raise quality without slowing people down

- Working directly with founders and business stakeholders — not through layers of management

What we're looking for:

- 5–8 years of software engineering experience, with at least 2 years in a lead or senior role

- Strong backend development skills in Node.js (Python or Java is a bonus)

- Hands-on cloud experience — building and managing infrastructure, not just deploying to it

- Comfort with Docker, Kafka, and Linux environments

- Experience running Agile teams — sprint planning, retrospectives, the works

- Clear communication and the ability to make decisions under ambiguity

- B.Tech / B.E. in Computer Science or Information Technology

Location: Mumbai (on-site) Experience: 5–8 years Start: Immediate

If this sounds like the role you've been looking for, apply below or send a message directly. The process is fast and so is the decision.

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 3+ years of experience in GCP cloud infrastructure, with a significant portion in a cloud managed services.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

Join the ‘real solvers’

ready to futurify?

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

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 3+ years of experience in GCP cloud infrastructure, with a significant portion in a cloud managed services.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

Join the ‘real solvers’

ready to futurify?

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

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

We are seeking a skilled Data Engineer to join the AI Platform Capabilities team supporting the UDP Uplift program.

In this role, you will design, build, and test standardized data and AI platform capabilities across a multi-cloud environment (Azure & GCP).

You will collaborate closely with AI use case teams to develop:

• Scalable data pipelines
• Reusable data products
• Foundational data infrastructure

Your work will support advanced AI solutions such as:

• GenAI
• RAG (Retrieval-Augmented Generation)
• Document Intelligence

Key Responsibilities

• Design and develop scalable ETL/ELT pipelines for AI workloads
• Build and optimize data pipelines for structured & unstructured data
• Enable context processing & vector store integrations
• Support streaming data workflows and batch processing
• Ensure adherence to enterprise data models, governance, and security standards
• Collaborate with DataOps, MLOps, Security, and business teams (LBUs)
• Contribute to data lifecycle management for AI platforms

Required Skills

• 5–7 years of hands-on experience in Data Engineering
• Strong expertise in Python and advanced SQL
• Experience with GCP and/or Azure cloud-native data services
• Hands-on experience with PySpark / Spark SQL
• Experience building data pipelines for ML/AI workloads
• Understanding of CI/CD, Git, and Agile methodologies
• Knowledge of data quality, governance, and security practices
• Strong collaboration and stakeholder management skills

Nice-to-Have Skills

• Experience with Vector Databases / Vector Stores (for RAG pipelines)
• Familiarity with MLOps / GenAIOps concepts (feature stores, model registries, prompt management)
• Exposure to Knowledge Graphs / Context Stores / Document Intelligence workflows
• Experience with DBT (Data Build Tool)
• Knowledge of Infrastructure-as-Code (Terraform)
• Experience in multi-cloud deployments (Azure + GCP)
• Familiarity with event-driven systems (Kafka, Pub/Sub) & API integrations

Ideal Candidate Profile

• Strong data engineering foundation with AI/ML exposure
• Experience working in multi-cloud environments
• Ability to build production-grade, scalable data systems
• Comfortable working in cross-functional, fast-paced environments

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most systems don’t fail because of one big outage.

They fail because reliability is treated as an afterthought.

Right now, uptime depends too much on individual heroics.

That doesn’t scale.

This role exists to build a reliability system where:

• Uptime is predictable
• Failures are contained
• Escalations don’t depend on leadership

What you’ll do

You will not just monitor systems.

You will own reliability as a product.

1. Drive uptime to production-grade reliability

• Improve system uptime to 99.9% customer-facing SLA within 4 months
• Define and track:
• SLAs / SLOs / error budgets
• Ensure reliability is measured from the customer’s perspective, not internal metrics

2. Build incident response as a system

• Set up a 24/7 incident response rotation across 3 engineers
• Eliminate dependency on leadership (no single escalation point)
• Define:
• Incident severity levels
• Response playbooks
• Escalation protocols
• Ensure fast detection → containment → resolution

3. Contain and fix erratic system behavior

• Identify and resolve:
• Latency spikes
• Downtime incidents
• Integration failures
• Build guardrails to prevent recurrence
• Focus on root cause elimination, not temporary fixes

4. Create continuous reliability feedback loops

• Work closely with engineering teams to:
• Surface recurring failure patterns
• Improve build quality
• Reduce production bugs
• Ensure learnings from incidents directly improve future releases

5. Improve observability and monitoring

• Build dashboards and alerts for:
• System health
• Performance metrics
• Failure signals
• Ensure issues are detected before customers report them

6. Reduce operational fragility

• Remove single points of failure (people, systems, workflows)
• Improve system resilience across:
• Deployments
• Integrations
• Runtime environments

What success looks like

• Uptime reaches 99.9%+ reliably
• Incidents are:
• Detected early
• Contained quickly
• Resolved permanently
• No dependency on a single individual for escalation
• System behavior becomes predictable and stable
• Engineering teams ship with higher reliability confidence

Who you are

• You have 2-5 years of experience in SRE / DevOps / backend systems
• You have worked on production systems with real uptime expectations
• You think in:
• Systems
• Failure modes
• Trade-offs
• You are comfortable debugging live, high-pressure environments

What will make you stand out

• Experience with:
• Distributed systems
• Cloud infrastructure (AWS / Azure / GCP)
• Monitoring & alerting tools
• Have built or improved:
• Incident response systems
• Reliability frameworks
• Strong debugging skills across:
• Infra
• Application
• Integrations

Compensation

₹60,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

• You will define reliability standards for a production AI platform
• Your work directly impacts:
• Customer trust
• Product performance
• Enterprise readiness
• You will move the system from reactive → predictable

What this role is not

• Not just monitoring dashboards
• Not limited to handling tickets
• Not dependent on escalation to leadership

What this role is

• A builder of reliability systems
• A guardian of uptime and performance
• A multiplier of engineering quality

One question to self-evaluate

Can you build a system where downtime is rare, predictable, and never dependent on a single person?

Job Title : DevOps Engineer

Experience : 3+ Years

Location : Indiranagar, Bengaluru (Work From Office – 5 Days)

Employment Type : Full-Time

Work Timings : 11:00 AM to 7:00 PM IST

Notice Period : Immediate Joiners Preferred

Role Overview :

We are seeking a skilled DevOps Engineer with 3+ years of experience in building and managing scalable cloud-native infrastructure.

The ideal candidate will have strong expertise in Kubernetes and Helm, along with hands-on experience in deploying and maintaining production-grade systems on cloud platforms.

This role offers an opportunity to work in a high-growth startup environment, contributing to both existing systems and new infrastructure development.

Key Responsibilities :

• Design, deploy, and manage scalable infrastructure using Kubernetes.
• Build and maintain CI/CD pipelines for efficient and automated deployments.
• Manage and optimize cloud environments (preferably GCP).
• Implement Infrastructure as Code using Helm/Terraform.
• Monitor system performance and ensure high availability and reliability.
• Handle bug fixes, system improvements, and performance optimization.
• Collaborate with engineering teams to design scalable microservices architecture.
• Implement logging, monitoring, and alerting solutions.
• Ensure security best practices including IAM, secrets management, and network policies.

Mandatory Skills :

• Strong hands-on experience with Kubernetes.
• Expertise in Helm Charts.
• Experience with Google Cloud Platform (GCP).
• Hands-on experience with ArgoCD or similar CI/CD tools.
• Knowledge of CI/CD tools like Jenkins, GitHub Actions, GitLab CI.
• Experience in database hosting and scaling.

Nice to Have :

• Exposure to other cloud platforms (AWS/Azure).
• Experience with modern DevOps and automation tools.
• Ability to quickly learn and adapt to new technologies.

Team & Work Scope :

• No dedicated DevOps team currently – high ownership role.
• Work on both existing systems (maintenance & improvements) and new system builds (greenfield projects).
• Opportunity to shape DevOps practices and infrastructure from scratch.

Preferred Candidate Profile :

• 3+ years of relevant DevOps experience.
• Strong problem-solving and debugging skills.
• Experience working in fast-paced startup environments.
• Understanding of scalability, security, and performance optimization.
• Good communication and collaboration skills.

Hiring Process :

1. Profile Screening
2. GT Assessment
3. Technical Interview – Round 1
4. Technical Interview – Round 2
5. Final Round (if required with US team)

Role - IT Cloud Engineer/ Devops

• Proficient in Linux.
• Hands on experience with AWS cloud or Google Cloud.
• Knowledge of container technology like Docker.
• Expertise in scripting languages. (Shell scripting or Python scripting)
• Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.

Job Description:

The incumbent would be responsible for:

• Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
• Server monitoring, analysis and troubleshooting.
• Deploying multi-tier architectures using microservices.
• Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
• Automating workflow with python or shell scripting.
• CI and CD integration for application lifecycle management.
• Hosting and managing websites on Linux machines.
• Frontend, backend and database optimization.
• Protecting operations by keeping information confidential.
• Providing information by collecting, analyzing, summarizing development & service issues.
• Prepares & installs solutions by determining and designing system specifications, standards & programming.

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

Summary:

We are seeking a highly skilled Python Backend Developer with proven expertise in FastAPI to join our team as a full-time contractor for 12 months. The ideal candidate will have 5+ years of experience in backend development, a strong understanding of API design, and the ability to deliver scalable, secure solutions. Knowledge of front-end technologies is an added advantage. Immediate joiners are preferred. This role requires full-time commitment—please apply only if you are not engaged in other projects.

Job Type:

Full-Time Contractor (12 months)

Location:

Remote

Experience:

3+ years in backend development

Key Responsibilities:

• Design, develop, and maintain robust backend services using Python and FastAPI.
•  Implement and manage Prisma ORM for database operations.
• Build scalable APIs and integrate with SQL databases and third-party services.
• Deploy and manage backend services using Azure Function Apps and Microsoft Azure Cloud.
• Collaborate with front-end developers and other team members to deliver high-quality web applications.
• Ensure application performance, security, and reliability.
• Participate in code reviews, testing, and deployment processes.

Required Skills:

• Expertise in Python backend development with strong experience in FastAPI.
• Solid understanding of RESTful API design and implementation.
• Proficiency in SQL databases and ORM tools (preferably Prisma)
• Hands-on experience with Microsoft Azure Cloud and Azure Function Apps.
• Familiarity with CI/CD pipelines and containerization (Docker).
• Knowledge of cloud architecture best practices.

Added Advantage:

• Front-end development knowledge (React, Angular, or similar frameworks).
• Exposure to AWS/GCP cloud platforms.
• Experience with NoSQL databases.

Eligibility:

• Minimum 3 years of professional experience in backend development.
• Available for full-time engagement.
• Please excuse if you are currently engaged in other projects—we require dedicated availability.

👉 Job Title: Backend Developer

🌟 Experience: 5-7 Years

💡Location: Bangalore

👉 Notice Period :- Immediate Joiners

💡 Work Mode - 5 Days work from Office

( Candidate Serving notice period are preffered)

Role Summary

We are looking for a Backend Engineer to join the Platform Implementation Team, responsible for building scalable, secure, and high-performance backend systems for a multi-cloud Data & AI platform. You will design microservices, develop REST APIs, and enable seamless data integration across enterprise systems like CRM and ERP.

💫 Key Responsibilities

✅ Design and develop scalable microservices and RESTful APIs

✅ Build event-driven architectures for asynchronous processing

✅ Integrate backend systems with cloud platforms (GCP/Azure)

✅ Ensure secure, reliable, and optimized data handling

✅ Collaborate with cross-functional teams (UI, Data, Platform)

✅ Follow best practices in coding, testing, CI/CD, and containerization

💫 Mandatory Skills (Top 3)

✅ Strong backend programming experience (Python / Node.js / Java)

✅ Expertise in API development & Microservices architecture

✅ Hands-on experience with Cloud platforms (GCP or Azure)