Senior Automation Test Engineer

Required skills / knowledge

• Experienced in software development and proficient in one or more of the following

programming languages - Python, JAVA and/or Perl.

• Experience with SDLC (software development lifecycle) best practices with large software

development projects is a must.

• Good knowledge in Computer Science fundamental

• Good organizational and English communication skills, prioritization of multiple projects and

objective.

Preferred skills / knowledge:

• Knowledge of storage technologies and disciplines namely, Fibre Channel, ISCSI, SCSI, NFS, CIFS,

POSIX, Object Storage, SAS, SATA, FLASH (NVME, SSD, etc.), RAID, Erasure Coding,

Distributed/Scale-out Storage, File systems, High-availability methods, working knowledge of

databases etc. are strongly preferred. Understanding networking protocols and connectivity

preferred.

• System Architecture experience within enterprise UNIX (RHEL)/Windows Server environments,

Container environments (RH Open Shift/Kubernetes/Docker, etc.) and Cloud environments

(Azure/AWS/Google) is highly desirable but not required.

• Understanding of Client/Server, Scaleout architectures, virtualization, performance and capacity

management strongly preferred.

• Good knowledge and experience of using Linux provisioning and system configuration

management tools such as Ansible, Puppet, Salt Stack, or Chef strongly preferred. Experience in

automation of a large-scale Linux deployment is preferred.

• Effective troubleshooting skills across O/S, network and storage.

• Knowledge in the following vendor products is preferred but not required: NetApp

7mode/cDOT/Engenio, IBM Spectrum Scale (aka GPFS), HDS Storage Arrays/HCP, EMC Atmos,

Brocade SAN/FOS, Veritas Storage Foundation Suite

Business Development Representative (BDR)

Company Name: F22 Labs

Location: Chennai (WFO)

Experience: 0 - 2 yrs

Our Company

F22 Labs has worked with 100+ entrepreneurs over 11 years, including Hollywood celebrities and Fortune 500 companies. We're now focusing on AI transformation projects for enterprises, leveraging our existing POCs in computer vision, voice AI, and custom model development.

The Opportunity

We're looking for a hungry, coachable individual to join our sales team and help us transition from startup clients to mid-market enterprises. This is a ground-floor opportunity where you'll learn everything from scratch while building a $1M+ sales pipeline.

This role is perfect for someone who:

• Wants to learn sales from the ground up
• Loves the grind of outbound prospecting
• Gets energized by rejection (because there will be a lot of it)
• Wants to earn serious money through performance

What You'll Actually Do

• Cold calling: 100 calls per week to enterprise prospects
• Cold outreach: 100 personalized emails per week to CTOs, Chief AI Officers, and Digital Transformation heads
• LinkedIn prospecting: 100 targeted messages weekly to decision makers
• Research & qualification: Identify companies needing AI transformation
• Meeting booking: Schedule qualified meetings for our leadership team
• Pipeline management: Track every activity, response, and outcome in our CRM

Success Metrics (Non-negotiable)

• 1 qualified meeting booked per week minimum
• Target companies: Mid-market/enterprise ($50M+ revenue)
• Project size: $15K-$100K+ AI transformation projects
• Industries: Insurance, banking, manufacturing, healthcare
• Decision makers: CTOs, Chief AI Officers, Engineering Heads, Digital Transformation leaders

What We Provide

• Base salary: ₹30,000-35,000/month
• Commission: ₹35,000 for every project that closes (potentially doubling your income)
• Tools: LinkedIn Sales Navigator, email automation, CRM access
• Training: Complete sales training from our founders
• Growth path: Move into Account Executive role as we scale

What We Expect

• Excellent English communication (this is critical - you'll be talking to Fortune 500 executives)
• Data-driven mindset: Daily activity tracking and weekly performance reviews
• Persistence: Most prospects will ignore you. The right ones won't.
• Coachability: We'll teach you everything, but you need to implement feedback.
• Self-motivation: You'll work independently with regular check-ins

Daily Reality Check

• 8-10 hours of outbound prospecting daily
• Detailed daily reports on activities and results
• Weekly 1:1s to review performance and optimize approach
• Monthly pipeline reviews and target adjustments
• Lots of "no" responses and cold shoulders
• Occasional breakthrough meetings that make it all worth it

Ideal Candidate

• Location: Chennai
• Experience: 0-2 years (we prefer hungry beginners over bad habits)
• Education: Any degree (communication skills matter more)
• Personality: Competitive, resilient, curious, detail-oriented
• Goals: Wants to build a career in B2B sales and earn significant money

Red Flags (Please Don't Apply If...)

• You expect immediate success without putting in the work
• You get discouraged by rejection
• You don't like tracking detailed metrics
• You want a "relationship building" role without cold prospecting
• You're looking for a comfortable, low-pressure job

Selection Process

1. Task
2. HR Interview
3. Final Interview

• Strong experience in Core Java, Multi-Threading, data structures (List/Map/Set) and unit testing
• with (Junit, Mockito)
•  Strong experience with Spring Framework (Spring MVC, Spring REST, Spring Data), ORM
• frameworks (JPA, Hibernate) and RDBMS (Oracle/MySQL/Postgres)
•  Strong experience in applying Object-Oriented design principles and Design Patterns
•  Good knowledge of Multi-Tier architecture, Micro Services architecture and Service Oriented
• Architecture 
•  Exposure to AWS Cloud, NoSQL Database (Mongo, Cassandra), Message Broker (Active
• MQ/RabbitMQ/Apache Kafka) and Big Data Technologies (Hadoop/Hive/Spark)
•  Additionally, must possess capability to review code, produce technical specification document
• and knowledge of code quality tools (PMD/FindBugs/Sonar)

Role : Senior Customer Scientist 

Experience : 6-8 Years 

Location : Chennai (Hybrid) 
 
 

Who are we? 
 
 

A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine http://maya.ai/">maya.ai, to deliver personal digital experiences centered around taste. The http://maya.ai/">maya.ai platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US. 
 
 

Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start. 
 

 
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all. 
 

Can you say “Yes, I have!” to the below? 
 
 

1. Experience with exploratory analysis, statistical analysis, and model development 
    

1. Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations 
    

1. Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management. 
    

1. Strong experience in SQL/ Python/R working efficiently at scale with large data sets 
    

1. Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications 
    

Can you say “Yes, I will!” to the below? 
 
 

1. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions. 
    

1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production. 
    

1. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends 
    

1. Coordinate individual teams to fulfil client requirements and manage deliverable 
    

1. Communicate and present complex concepts to business audiences 
    

1. Travel to client locations when necessary  

Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.  
 
 

More about Crayon: https://www.crayondata.com/">https://www.crayondata.com/  
 

More about http://maya.ai/">maya.ai: https://maya.ai/">https://maya.ai/  

CommerceIQ is a well-funded, Series B growth stage start-up that helps consumer brands grow their business on e-commerce channels (like Amazon, Walmart) using advanced algorithms and machine learning technology. We help consumer brands win shoppers at the moment of purchase by algorithmically managing supply chain, demand forecasting, promotions and advertising spend, fraud listing detection, content optimization and other aspects that help shoppers make online purchase decisions. 

In 2020, CoVid 19 affected every business, few positively and many negatively. However, E-commerce adoption has gone through the roof and we have seen e-commerce spend grow from 15% to 25% of retail spend in just 8 weeks! (Compare this to a decade that it took to grow e-commerce adoption from 5 to 15%). This put us in a unique situation and provided a huge opportunity for us to help brands grow significantly on e-commerce channels.

At the back of strong product-market fit and a change in human behaviour due to CoVid that buoyed e-commerce, we tripled our revenue consecutively in 2019 and 2020. More than 50 consumer brands use our product to drive e-commerce growth. Our customers include named brands like Bayer Healthcare, J&J, Nestle, Hamilton Beach, Hill’s Pet Nutrition, Kellogg, Kimberly Clark, Colgate, Mars, Inc. and many others.

Our focus in 2021 is to heavily invest in our engineering, product and customer success capability to bolster our product, make our customers successful and establish ourselves as a market leader in this rapidly growing market!

Roles and responsibilities :

• Manage the performance and career development of a team of engineers, and own significant parts of CIQ applications that require design, architecture, and coding (Both Frontend and Backend).
• Participate with senior management in developing a long-term technology roadmap.
• Be a role model and professional coach for engineers with a strong bias for action and focus on high standards.
• Work with peers across teams to support and leverage a shared technical stack.
• Manage teams to scale distributed applications, make architectural trade-offs applying right design patterns, review code, and deliver with speed and quality.
• Produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
• Own the QA and deployment strategies for the team.
• Work‌ ‌with‌ ‌multiple‌ ‌stakeholders to understand business, prioritise and execute based on company goals and priorities.
• Be the custodian of process and SDLC best practices within the team.
• Own hiring goals for the team and hire the best.
• Delivery and tech ownership of all roadmap / tech items for the team.

What you need to succeed :

• Should have proficiency in Backend and frontend technologies along with good experience in AWS.
• Should‌ ‌be‌ ‌aware‌ ‌of‌ ‌best‌ ‌practices‌ ‌for‌ ‌Software‌ ‌development‌ .
• 6+ years of relevant engineering work experience.
• 5+ years software design, coding in Java / equivalent and a good understanding of frontend technologies.
• 1+ years of management experience in building small to medium-sized teams, demonstrating growth and a track record of successful deliveries.

Preferred Qualifications : 

• 5+ years of experience in building and working with production grade systems.
• Shipped several large-scale projects with dependencies across multiple teams.
• Built and delivered on successful cross-functional partnerships across multiple teams.
• Been actively involved in creation and execution of technical strategy and roadmap.
• Actively coached, mentored and grew team members in their careers.
• Track record in partnering with recruiting to hire and build incredible engineering teams.
• Good understanding and experience in practicing SDLC best practices.
• Strong believer in innovation culture and Engineering driven ideas.
• Experience in release management and agile methodologies.