Data Analyst

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

· Architect, deploy, and maintain GCP cloud resources via terraform/other automation.

· Implement Google Cloud Storage, Cloud SQL, file store, for data storage and processing needs.

· Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.

· Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

· Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).

· Work with Helm charts, Istio, and service meshes for microservices deployments.

· Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

· Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.

· Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

· Design, implement, and manage CI/CD pipelines using Azure DevOps.

· Automate infrastructure deployment using Terraform, Bash and Power shell scripting

· Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

Job Title: Coordinator, Customer Care Center – Service

Location: Malad,Mumbai

Status: Active

Salary Range: INR 4,80,000 – 7,50,000 per annum

Experience Required: 1 – 12 years

Job Functions and Responsibilities

• Handle loan-related customer inquiries over the loan servicing toll-free number for pre-foreclosure to delinquent accounts.
• Follow up with customers when payment commitments are not met.
• Log all borrower contacts into the loan servicing system.
• Offer long-term resolutions to customers to resolve delinquency issues.
• Efficiently use an autodialing system to maximize productivity and increase contact ratios.
• Achieve the prescribed number of customer contacts during each workday.
• Understand customer relations functions and available services.
• Perform other duties as assigned by the department manager.

Education / Experience

• Strong customer service skills are essential.
• Fluency in English is required.
• Knowledge or experience in mortgage loan servicing is desirable but not mandatory.
• Graduate degree preferred; undergraduates must have at least 6 months of call center (voice support) experience.

Work Schedule / Requirements

• Must be willing to work in US shifts.
• Shift timings: 5:30 PM / 6:30 PM / 7:30 PM / 8:30 PM IST (may change twice a month).
• Call center hours: Monday – Friday, 8:00 AM – 9:00 PM EST; Saturday, 8:00 AM – 5:00 PM EST.
• Must have a stable internet connection (minimum 50 Mbps) for remote work.
• Candidates must reside in Mumbai (base location) while working from home.
• Currently following a hybrid model — employees will be scheduled to work both from office and home.
• Mandatory work from office during training and initial production phase (minimum 6 months) until performance standards are consistently met.
• Flexibility required for potential role transitions between Customer Service and Customer Resolutions as per business needs.
• Transportation provided for late shifts.

Must-Haves

• Excellent communication skills.
• Minimum 1 year of call center experience (voice support).
• Willingness to work in rotational shifts.
• Flexibility to adapt to business and schedule changes.

Interview Process

1. Screening Call
2. Two Virtual Rounds (Technical / Process-related)

About the Role

At Ceryneian, we’re building a next-generation, research-driven algorithmic trading platform aimed at democratizing access to hedge fund-grade financial analytics. Headquartered in California, Ceryneian is a fintech innovation company dedicated to empowering traders with sophisticated yet accessible tools for quantitative research, strategy development, and execution.

Our flagship platform is currently under development. As our Frontend / Full Stack Engineer, you’ll lead the creation of a stunning, intuitive user experience—spanning our landing page, drag-and-drop strategy builder, trading dashboards, and internal tools. You’ll collaborate closely with design, backend, and DevOps teams to build high-performance, secure, and scalable customer-facing applications. This role is central to delivering the reliability, flexibility, and performance our users will rely on in fast-moving financial markets.

We are a remote-first team and are open to hiring exceptional candidates globally.

Core Tasks

·      Design, build, and deploy customer-facing interfaces, including the strategy builder, dashboards, and marketplace.

·      Implement reusable UI components based on Figma designs; integrate charting tools like TradingView or Highcharts.

·      Own the frontend development pipeline, including prototyping, implementation, testing, and responsiveness.

·      Implement secure authentication and user management (OAuth2, JWT, multi-role access).

·      Build real-time web experiences using WebSockets, REST, and client-server integrations.

·      Collaborate with backend and DevOps teams to streamline data flow and deployment workflows.

Top Technical Competencies

·      Strong foundation in HTML/CSS, JavaScript/TypeScript.

·      Proficiency in modern frontend frameworks such as React (Next.js), Svelte, Angular, Vue, or Phoenix.

·      Experience with OAuth2 and secure authentication workflows.

·      Familiarity with server-side rendering (SSR) and modern state management (Zustand, Redux, MobX).

·      Integration experience with charting libraries such as TradingView, Recharts, or Highcharts.

·      Deployment experience using platforms like Vercel, Heroku, GCP, or AWS.

·      Working knowledge of WebSockets, REST APIs, and data streaming models.

·      0–3 years of frontend development experience.

Bonus Competencies

·      Familiarity with Supabase, PostgreSQL, Firebase, or MongoDB.

·      Understanding of microfrontend architectures or API Gateway patterns.

·      Experience with WebAssembly and real-time trading interfaces.

·      Exposure to fintech platforms or trading systems.

·      Background from Tier-I or Tier-II institutions with strong computer science fundamentals, a passion for scalable system design, and a drive to build cutting-edge fintech infrastructure.

Ideal Candidate

You’re a design-minded full stack engineer who builds fast, clean, and modular frontend systems. You thrive on making complex interfaces intuitive—turning strategy logic into drag-and-drop workflows—and can ship high-performance components that integrate seamlessly with real-time APIs. You value design systems, scalable frontends, and cross-functional collaboration.

What We Offer

·      Opportunity to shape the product interface of a next-gen fintech startup.

·      A collaborative, technically driven culture.

·      Competitive compensation with performance-based bonuses.

·      Flexible working hours and a remote-friendly environment.

·      Exposure to financial modeling, trading infrastructure, and real-time systems.

·      Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna.

1. Proficiency in Python 3.x based web and backend development

2. Solid understanding of Python concepts

3. Experience with some form of Machine Learning (ML)

4. Experience in using libraries such as Numpy and Pandas

5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar

6. Hands on experience with RDBMS such as Postgres or MySQL

7. Experience building REST APIs using DRF or Flask

8. Comfort with Git repositories, branching and deployment using Git

9. Working experience with Docker

10. Basic working knowledge of ReactJs

11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

About Us :

Docsumo is Document AI software that helps enterprises capture data and analyze customer documents. We convert documents such as invoices, ID cards, and bank statements into actionable data. We are work with clients such as PayU, Arbor and Hitachi and backed by Sequoia, Barclays, Techstars, and Better Capital.

As a Senior Machine Learning you will be working directly with the CTO to develop end to end API products for the US market in the information extraction domain.

Responsibilities :

• You will be designing and building systems that help Docsumo process visual data i.e. as PDF & images of documents.
• You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to finished apps.
• You will get to learn the ins and outs of building core capabilities & API products that can scale globally.
• Should have hands-on experience applying advanced statistical learning techniques to different types of data.
• Should be able to design, build and work with RESTful Web Services in JSON and XML formats. (Flask preferred)
• Should follow Agile principles and processes including (but not limited to) standup meetings, sprints and retrospectives.

Skills / Requirements :

• Minimum 3+ years experience working in machine learning, text processing, data science, information retrieval, deep learning, natural language processing, text mining, regression, classification, etc.
• Must have a full-time degree in Computer Science or similar (Statistics/Mathematics)
• Working with OpenCV, TensorFlow and Keras
• Working with Python: Numpy, Scikit-learn, Matplotlib, Panda
• Familiarity with Version Control tools such as Git
• Theoretical and practical knowledge of SQL / NoSQL databases with hands-on experience in at least one database system.
• Must be self-motivated, flexible, collaborative, with an eagerness to learn

We are looking for a Flutter mobile application developer who possesses a passion for pushing mobile technologies to the limits. Our ideal candidate is a great Flutter developer who is proficient with iOS / Android / Flutter and its ecosystem.

Responsibilities

• Solid understanding of Flutter, Dart, Flutter animations
• Build mobile applications using Flutter for hybrid, Android and iOS platforms
• Collaborate with cross-functional teams to define, design, and ship new features
• Work with outside data sources and APIs
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Strong understanding of design patterns over and above MVP, MVVM, and MVC
• Knowledge of Location Services, Maps, and other common Android/iOS libraries
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Requirements

• BS/MS degree in Computer Science, Engineering or a related subject
• At least 3 years of relevant Flutter development experience.
• Must have built at least two Android and/or iOS apps with Flutter from scratch
• Experience with Android SDK
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle.