Big Data Engineer

We are seeking a dynamic and results-driven IT Staffing Sales Specialist with a strong background in SaaS sales.The ideal candidate will have a proven track record of building client relationships, generating new business, and driving revenue growth in the IT/Cybersecurity/Analytics/Product engineering staffing and SaaS domains For India/APAC Region.

This role requires a combination of strategic thinking, excellent communication skills, and the ability to thrive in a fast-paced environment.

Key Responsibilities

Client Acquisition & Account Management: Identify, target, and secure new clients for IT/Cybersecurity/Analytics/Product engineering staffing services.

Build and maintain strong relationships with key stakeholders, including HR leaders, hiring managers, and decision-makers in SaaS companies.

Sales Strategy: Develop and execute a sales plan to achieve revenue targets. Leverage market insights to identify opportunities and position IT staffing solutions effectively within the SaaS industry.

SaaS Sales Expertise: Leverage your experience in SaaS sales to understand client needs and align staffing solutions with their technology objectives. Collaborate with clients to identify skill gaps and provide tailored staffing solutions, including contract, contract-to-hire, and direct placement services.

Networking & Business Development: Attend industry events, trade shows, and networking opportunities to build the company’s presence in the IT and SaaS sectors. Maintain a strong pipeline of prospects and consistently achieve or exceed sales quotas.

Collaboration & Reporting: Work closely with recruitment teams to ensure client requirements are met with high-quality candidates. Prepare and deliver sales reports, forecasts, and presentations to management.

Qualifications & Skills Bachelor’s degree in Business, Marketing, IT, or a related field (preferred).

Minimum of 3–5 years of experience in IT IT/Cybersecurity/Analytics/Product engineering staffing sales and SaaS sales. Proven ability to meet and exceed sales targets and quotas.

Strong understanding of IT roles, technologies, and industry trends, especially in SaaS. Exceptional negotiation, presentation, and interpersonal skills. Proficiency in CRM tools (e.g., Salesforce, HubSpot) and sales automation software.Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications Established network of clients in the SaaS or IT industry. Knowledge of workforce management, talent acquisition, and recruitment trends. Experience with MSP (Managed Service Provider) or VMS (Vendor Management System) environments is a plus.

Position : SAP Fiori Portal Senior

Experience: 5 – 8 Years

Location: Hyderabad

Work Mode: 5 Days Work From Office

Contract : Hybrid

Notice Period : 0 to 15 days

Job Description

We are looking for an experienced SAP Fiori Portal Senior Product Analyst with strong expertise in SAP Fiori, SAP UI5, and SAP OData Services. The candidate will be responsible for analyzing, designing, developing, testing, troubleshooting, and supporting SAP development services and enhancements.

Key Responsibilities

• Analyze business requirements and provide technical solutions in SAP Fiori landscape
• Design, develop, test, and support SAP applications and enhancements
• Extend standard SAP Fiori applications based on business requirements
• Develop and customize SAP UI5 applications
• Design and develop SAP OData Services
• Create technical specifications, coding, unit testing, and troubleshooting activities
• Enhance existing SAP product functionalities through custom developments
• Collaborate with functional and technical teams for end-to-end solution delivery
• Provide production support and resolve application issues

Required Skills

• Strong experience in SAP Fiori and SAP UI5 development
• Hands-on experience in SAP OData Services
• Good understanding of SAP Gateway and Fiori Launchpad
• Experience in JavaScript, HTML5, CSS3, and MVC architecture
• Knowledge of SAP backend integration
• Strong debugging and troubleshooting skills
• Experience working in Agile environments

Preferred Skills

• Experience with SAP BTP is an added advantage
• Knowledge of SAP S/4HANA environment
• Good communication and stakeholder management skills

Eligibility

• 5 to 8 years of relevant experience in SAP Fiori/UI5 development
• Immediate to short notice candidates preferred

About us

Astra is a cyber security SaaS company that makes otherwise chaotic pentests a breeze with its one of a kind Pentest Platform. Astra's continuous vulnerability scanner emulates hacker behavior to scan applications for 8300+ security tests. CTOs & CISOs love Astra because it helps them fix vulnerabilities in record time and move from DevOps to DevSecOps with Astra's CI/CD integrations.

Astra is loved by 650+ companies across the globe. In 2023 Astra uncovered 2 million+ vulnerabilities for its customers, saving customers $69M+ in potential losses due to security vulnerabilities. 

We've been awarded by the President of France Mr. François Hollande at the La French Tech program and Prime Minister of India Shri Narendra Modi at the Global Conference on Cyber Security. Loom, MamaEarth, Muthoot Finance, Canara Robeco, ScripBox etc. are a few of Astra’s customers.

Role Overview

As an SDE 2 Back-end Engineer at Astra, you will play a crucial role in the development of a new vulnerability scanner from scratch. You will be architecting & engineering a scalable technical solution from the ground-up.

You will have the opportunity to work alongside talented individuals, collaborating to deliver innovative solutions and pushing the boundaries of what's possible in vulnerability scanning. The role requires deep collaboration with the founders, product, engineering & security teams.

Join our team and contribute to the development of a cutting-edge SaaS security platform, where high-quality engineering and continuous learning are at the core of everything we do.

Roles & Responsibilities:

• You will be joining our Vulnerability Scanner team which builds a security engine to identify vulnerabilities in technical infrastructure.
• You will be the technical product owner of the scanner, which would involve managing a lean team of backend engineers to ensure smooth implementation of the technical product roadmap.
• Research about security vulnerabilities, CVEs, and zero-days affecting cloud/web/API infrastructure.
• Work in an agile environment of engineers to architect, design, develop and build our microservice infrastructure.
• You will research, design, code, troubleshoot and support (on-call). What you create is also what you own.
• Writing secure, high quality, modular, testable & well documented code for features outlined in every sprint.
• Design and implement APIs in support of other services with a highly scalable, flexible, and secure backend using GoLang
• Hands-on experience with creating production-ready code & optimizing it by identifying and correcting bottlenecks.
• Driving strict code review standards among the team.
• Ensuring timely delivery of the features/products
• Working with product managers to ensure product delivery status is transparent & the end product always looks like how it was imagined
• Work closely with Security & Product teams in writing vulnerability detection rules, APIs etc.

Required Qualifications & Skills: 

• Strong 2-4 years relevant development experience in GoLang
• Experience in building a technical product from idea to production.
• Design and build highly scalable and maintainable systems in Golang
• Expertise in Goroutines and Channels to write efficient code utilizing multi-core CPU optimally
• Must have hands-on experience with managing AWS/Google Cloud infrastructure
• Hands on experience in creating low latency high throughput REST APIs
• Write test suites and maintain code coverage above 80%
• Working knowledge of PostgreSQL, Redis, Kafka
• Good to have experience in Docker, Kubernetes, Kafka
• Good understanding of Data Structures, Algorithms and Operating Systems.
• Understanding of cloud/web security concepts would be an added advantage

What We Offer:

• Adrenalin rush of being a part of a fast-growing company
• Fully remote & agile working environment
• A wholesome opportunity in a fast-paced environment where you get to build things from scratch, improve and influence product design decisions
• Holistic understanding of SaaS and enterprise security business
• Opportunity to engage and collaborate with developers globally
• Experience with security side of things
• Annual trips to beaches or mountains (last one was Chikmangaluru)
• Open and supportive culture 

About the Role

We are looking for a passionate AI Engineer Intern (B.Tech, M.Tech / M.S. or equivalent) with strong foundations in Artificial Intelligence, Computer Vision, and Deep Learning to join our R&D team.

You will help us build and train realistic face-swap and deepfake video models, powering the next generation of AI-driven video synthesis technology.

This is a remote, individual-contributor role offering exposure to cutting-edge AI model development in a startup-like environment.

Key Responsibilities

• Research, implement, and fine-tune face-swap / deepfake architectures (e.g., FaceSwap, SimSwap, DeepFaceLab, LatentSync, Wav2Lip).
• Train and optimize models for realistic facial reenactment and temporal consistency.
• Work with GANs, VAEs, and diffusion models for video synthesis.
• Handle dataset creation, cleaning, and augmentation for face-video tasks.
• Collaborate with the AI core team to deploy trained models in production environments.
• Maintain clean, modular, and reproducible pipelines using Git and experiment-tracking tools.

Required Qualifications

• B.Tech, M.Tech / M.S. (or equivalent) in AI / ML / Computer Vision / Deep Learning.
• Certifications in AI or Deep Learning (DeepLearning.AI, NVIDIA DLI, Coursera, etc.).
• Proficiency in PyTorch or TensorFlow, OpenCV, FFmpeg.
• Understanding of CNNs, Autoencoders, GANs, Diffusion Models.
• Familiarity with datasets like CelebA, VoxCeleb, FFHQ, DFDC, etc.
• Good grasp of data preprocessing, model evaluation, and performance tuning.

Preferred Skills

• Prior hands-on experience with face-swap or lip-sync frameworks.
• Exposure to 3D morphable models, NeRF, motion transfer, or facial landmark tracking.
• Knowledge of multi-GPU training and model optimization.
• Familiarity with Rust / Python backend integration for inference pipelines.

What We Offer

• Work directly on production-grade AI video synthesis systems.
• Remote-first, flexible working hours.
• Mentorship from senior AI researchers and engineers.
• Opportunity to transition into a full-time role upon outstanding performance.

Location: Remote | Stipend: ₹10,000/month | Duration: 3–6 months

 Skills and Qualifications:

1. A Master’s degree in computer application or B. tech is required.
2. Strong organizational and project management skills.
3. Required minimum 3 years of experience.
4. Knowledge of C#, ASP.NET, MVC, SQL Server, MYSQL, NOSQL, Oracle, MongoDB, HTML, CSS and Javascript
5. Familiarity with JavaScript frameworks such as Angular JS, React, and Amber. 
6. Experience developing web applications using .NET Framework 4.5.
7. Design building and maintaining efficient and reusable C# code using design patterns.
8. Knowledge of Agile methodology/ Kanban concepts is a plus.
9. Contribute to the Agile software development process including: design, programming, testing, documentation, quality assurance and implementation.
10. High proficiency in English (Written and oral) is mandatory.

Position – Lead - TA

Reports to HR Head

Experience: 4 years + (Team Handling experience is must)

Roles & Responsibilities:

• Scour job search websites for potential recruits and contact those candidates personally
• Interview potential sales staff members using industry-standard techniques
• Familiarity with online job-hunting websites
• Develop multi-hire sourcing approaches and work in partnership with colleagues across the network to tap into overseas sourcing channels
• Works within a budget agreed
• Upon approval of a new requisition, work with hiring manager to obtain role briefing and to agree sourcing strategies and timelines
• Partner with hiring teams to build and execute effective sourcing, assessment, and closing of highly qualified candidates
• Work within predefined recruitment processes while monitoring that process to identify, recommend areas, improve and to ensure best practices at all times.
• Handling TA team and monitoring their daily work.
• Strong leadership skills with a demonstrated ability to influence different styles
• Have exceptional communication skills and a very strong ability to manage a variety of leaders
• Strong willed, decisive, a fast learner and able to effect changes fast
• Strong attention to detail
• Excellent interpersonal and communication skills and ability to multi-task
• Ability to work independently and employ effective organizational, project and time management skills
• Ability to build relationships, recruit candidates, and influence selection decisions

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.