Data Engineer

• Strong Senior UI/UX Product Designer profile – IC Role in B2C Mobile Apps
• Mandatory (Experience 1): 4+ YOE as a Product Designer, UI/UX Designer, or Mobile App Designer with strong IC ownership in tech/startup environments
• Mandatory (Experience 2): Strong experience as a Fullstack Product Designer (UI + UX) for Mobile Apps (especially Android)
• Mandatory (Core Skill 1): Must be highly proficient in Figma - able to create wireframes, user flows, high-fidelity mockups, and micro-interactions from scratch
• Mandatory (Portfolio): Strong UI/UX portfolio of B2C Mobile Apps; Portfolio should reflect strong UI, Interaction, Visual Design skills (UI Heavy portfolio) (preferably launcher/utility/feed-driven apps)
• Mandatory (Company): B2C product companies
• Mandatory (Exclusion): Payment gateway companies

Preferred Companies

B2C Product Companies List: Ultrahuman, boAt, Noise, Fire-Boltt, Mamaearth, Nykaa, Purplle, SUGAR Cosmetics, mCaffeine, CRED, Paytm, PhonePe, Amazon India, Flipkart, Meesho, Tata 1mg, Practo, PharmEasy, HealthifyMe, Cult.fit, Groww, Zerodha, Upstox, Dream11, MPL (Mobile Premier League), WinZO, Ather Energy, Wakefit, SleepyCat, Urban Company, ShareChat, Moj, Dailyhunt, Koo, Chingari, Josh (VerSe Innovation), BYJU’S, Unacademy, Vedantu, Cuemath, Embibe

Key Responsibilities:

1. Design and Development: Lead the design and development of web

applications using Python and Flask, ensuring code quality, scalability, and

performance.

2. Architecture: Collaborate with the architecture team to design and implement

robust, maintainable, and scalable software solutions.

3. API Development: Develop RESTful APIs using Flask to support front-end

applications and external integrations.

4. Database Management: Design and optimize database schemas, write efficient

SQL queries, and work with databases like PostgreSQL, MySQL, or NoSQL

solutions.

5. Testing and Debugging: Write unit tests and perform code reviews to maintain

code quality. Debug and resolve complex issues as they arise.

6. Security: Implement security best practices, including data encryption,

authentication, and authorization mechanisms.

7. Performance Optimization: Identify and address performance bottlenecks in

the application, making improvements for speed and efficiency.

8. Documentation: Maintain clear and comprehensive documentation for code,

APIs, and development processes.

9. Collaboration: Collaborate with cross-functional teams, including front-end

developers, product managers, and QA engineers, to deliver high-quality

software.

10. Mentorship: Provide guidance and mentorship to junior developers, sharing your

knowledge and best practices.

Qualifications:

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

field.

Proven experience (4-5 years) as a Python developer, with a strong emphasis on

Flask.

Solid understanding of web development principles, RESTful APIs, and best

practices.

Proficiency in database design and SQL, as well as experience with database

systems like PostgreSQL or MySQL.

Familiarity with front-end technologies (HTML, CSS, JavaScript) and related

frameworks is a plus.

Strong problem-solving skills and the ability to work in a fast-paced, collaborative

environment.

Excellent communication skills and the ability to work effectively in a team.

Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes)

is a plus.

Are you interested in joining the team behind Amazon’s newest innovation? Come help us work on world class software for our customers!

The Amazon Kindle Reader and Shopping Support Engineering team provides production engineering support and is also responsible for providing multifaceted services to the Kindle digital product family of development teams and working with production operations teams for software product release coordination and deployment. This job requires you to hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks that will define your success

Job responsibilities

• Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services
• Work on operations and maintenance driven coding projects, primarily in Java and C++
• Software deployment support in staging and production environments
• Develop tools to aid operations and maintenance
• System and Support status reporting
• Ownership of one or more Digital products or components
• Customer notification and workflow coordination and follow-up to maintain service level agreements
• Work with support team for handing-off or taking over active support issues and creating a team specific knowledge base and skill set

BASIC QUALIFICATIONS

• 4+ years of software development, or 4+ years of technical support experience
• Experience troubleshooting and debugging technical systems
• Experience in Unix
• Experience scripting in modern program languages
• Experience in agile/scrum or related collaborative workflow
• Experience troubleshooting and documenting findings

PREFERRED QUALIFICATIONS

• Knowledge of distributed applications/enterprise applications
• Knowledge of UNIX/Linux operating system
• Experience analyzing and troubleshooting RESTful web API calls
• Exposure to iOS (SWIFT) and Android (Native) App support & development

Automation Engineer

About Tazapay Tazapay is founded by 3 seasoned professionals with extensive experience in payments, ecommerce, technology, cross border trade and high growth technology businesses. The company is financially backed by the likes of Sequoia Capital, Saison Capital, RTP Global etc. We https://tazapay.com/ are a Singapore-based b2b and payments startup enabling small and medium-sized businesses (SMBs) to conduct cross-border commerce securely.

About the Automation Engineer role Tazapay is looking for an Automation Engineer who will assist testing across a suite of Mobile and Web Applications, ensuring all errors are identified and corrected before release to customers. This role will work to ensure high quality is central to development, and work closely with developers to give them a testing perspective from scoping acceptance criteria through to release.

Responsibilities (not exhaustive)

• Work in a cutting-edge agile software development environment as an Automation Engineer ensuring the quality of our Tazapay Platform

• Gain technical and functional understanding of our product architecture and become part of our ongoing feature and enhancement development effort

• Gain Manual testing expertise to write test cases/plans, execute test cases, log bugs in Defect tracking tool, verify bugs.

• Communicate with product managers in creating acceptance tests as part of the requirements, and execute those tests manually, as well as automate them

• Manage the test case inventory and work with other members of the Software Testing team

• Provide guidance when needed to other members of Software Testing team and Product Support

• Work proactively with members of an Agile Software Development and Software Testing team to find and fix defects in our product

• Produce and maintain test coverage reports for functional and automation coverage

• Communicate critical issues and status updates in a timely manner to the team and other stakeholders.

• Ensure all reporting is succinct yet includes all necessary details for replication and timely resolution.

The Ideal Candidate Education

• Bachelor’s degree in Computer Science, Information Technology or related field.

• Understanding of the software development life cycle as well as the business approach for the product. Experience

• Minimum of 3 years of working experience as an automation engineer Abilities and Traits

• Ability to work under pressure and meet deadlines

• Ability to provide exceptional attention to details of the product.

• Ability to focus for extended periods of repetitious activity.

• Ability to think ahead and anticipate problems, issues and solutions

• Work well as a team player and help the team members to resolve issues

• Be committed to quality and be structured in approach

• Excellent and demonstrable concept formulation, logical and analytical skills

• Excellent planning, organizational, and prioritization skills Location

Location: work from home

Experience : 3 yrs plus

Package: uto 20LPA

• Assisting in the formulation of strategies to build a lasting digital connection with consumers
• Identifying new opportunities by thorough market research and target top of social media trends
• Planning and monitoring the ongoing company presence on social media (Linkedin, Twitter etc.)
• Launching optimized online adverts through Google Adwords, Facebook etc. to increase brand awareness
• Preparing online newsletters and promotional emails and organize their distribution through various channels
• Planning and directing marketing campaigns
• Optimizing content for the website and social media platforms
• Providing internal reports on a regular basis
• Executing new and creative collaborations among technologies and platforms
• Collaborating with designers to improve user experience
• Acquiring insight in online marketing trends and keep strategies up-to-date
• Maintaining partnerships with media agencies and vendors
• Identify trends and insights

Desired Candidate Profile

• Preferably with a B.Tech+ MBA background from Tier 1 & 2 colleges
• 3-6 years of experience developing and executing B2B & B2C marketing programs covering multiple channels
• Solid technical background, with understanding or hands-on experience in software development and web technologies
• Proven work experience as a Digital Marketing Associate or similar role
• Excellent presentation, organization, time management, and cross-department communication skills
• Ability to quickly adapt to changes and work effectively under pressure
• Excellent client-facing and internal communication skills
• Ability to think strategically and drive the business strategy
• Attention to detail and multi-tasking skills
• Strong problem management skills
• Ability to manage multiple priorities
• Ability to interact well with people at all levels within and outside the organization    

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

• The ability to write and think creatively
• Significant experience in writing strong, accurate copy that is grammatically correct
• A flexible approach and willingness to adapt ideas as per clients requirement
• The ability to work to strict deadlines without compromising on work quality
• Great organizational skills
• An eye for detail
• Strong research skills