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Role: DevOps Engineer
Experience: 7+ Years
Location: Pune / Trivandrum
Work Mode: Hybrid
𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:
- Drive CI/CD pipelines for microservices and cloud architectures
- Design and operate cloud-native platforms (AWS/Azure)
- Manage Kubernetes/OpenShift clusters and containerized applications
- Develop automated pipelines and infrastructure scripts
- Collaborate with cross-functional teams on DevOps best practices
- Mentor development teams on continuous delivery and reliability
- Handle incident management, troubleshooting, and root cause analysis
𝐌𝐚𝐧𝐝𝐚𝐭𝐨𝐫𝐲 𝐒𝐤𝐢𝐥𝐥𝐬:
- 7+ years in DevOps/SRE roles
- Strong experience with AWS or Azure
- Hands-on with Docker, Kubernetes, and/or OpenShift
- Proficiency in Jenkins, Git, Maven, JIRA
- Strong scripting skills (Shell, Python, Perl, Ruby, JavaScript)
- Solid networking knowledge and troubleshooting skills
- Excellent communication and collaboration abilities
𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬:
- Experience with Helm, monitoring tools (Splunk, Grafana, New Relic, Datadog)
- Knowledge of Microservices and SOA architectures
- Familiarity with database technologies
Role Overview:
We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.
Key Responsibilities:
- Data Analysis & Visualization:
- Develop and manage data pipelines, ensuring data accuracy and integrity.
- Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
- Extract and analyze complex data sets using SQL to generate actionable insights
2 Machine Learning & AI Models:
- Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
- Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
- Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.
3 Automation & Innovation:
- Use AI to streamline document verification, data extraction, and customer interaction processes.
- Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
- Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.
Qualifications:
- Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
- 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
- Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
- Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
- Strong problem-solving skills, with the ability to work independently and in teams.
- Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.
If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!
Exp: 4-8yrs
Notice period: Max 30 days
Location: Andheri East
Working Days- 6 Days with Sunday off (2nd Saturday off as well)
Key Responsibilities:
Design, develop, and maintain WinForms applications.
Knowledge of .NET languages including C#, & Winforms is Mandatory.
Collaborate with cross-functional teams to define, design, and implement new
features.
Write clean, scalable, and efficient code using C# and ASP.NET.
Develop and maintain SQL Server databases, including writing complex
queries and stored procedures.
Troubleshoot, debug, and optimize existing applications.
Participate in code reviews and contribute to team knowledge sharing.
Ensure application security, performance, and reliability.
Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or a related
field.
Minimum of 3 years of experience in .NET development.
• 8 - 15 years of experience building Full Stack applications with a focus on performance and low latency
• 2 - 5 years of experience building React and/or Mobile Applications. Some exposure is a plus but not
mandatory.
• 5 - 8 years working with microservices, API servers, databases, cloud-native development, observability,
alerting and monitoring
• Deep exposure to cloud services, preferably Azure
• Preferably worked in the Retail domain or other similar domains with complex business requirements
• Contributed to & actively maintained one or more open-source projects
• Blogging on performance or related topics
• Speaking engagements at Meetups or Conferences.
Core Skills:
• Strong understanding of Operating Systems, Database,s and Networking fundamentals
• Good understanding of RESTful APIs, GraphQL, and Web Sockets
• Exposure to the Frontend side of the world on Web and Mobile
• Strong understanding of Distributed Systems, Fault Tolerance, and Resiliency. Exposure to setting up and
managing Chaos is a plus
• Exposure to Domain Driven Design (DDD), SOLID principles, and Data Modelling on various RDBMS, NoSQL
databases
• Exposure to building high-performance APIs with the ability to isolate problems in different parts of the
request/response journey
• Good understanding of CNCF projects with a specific focus on Observability, Monitoring, Tracing, Sidecars,
Kubernetes
• Participate in architecture reviews to identify potential issues, and bottlenecks and provide early guidance
• Deep knowledge of at least 2 different programming languages and runtimes. Any two of JavaScript, Ruby,
Python, Swift, Go, Rust, C#, Dart, Kotlin, Java, Haskell, OCaml
• Excellent verbal and written communication
• A mindset to constantly learn new things and challenge the Status Quo
• Hands-on skills combined with leadership qualities to guide teams
💥 What will you do?
As a Backend Engineer, you will
- Create and maintain server-side code
- Designing database schemas to support business requirements
- Building reusable code and libraries for future use
- Troubleshoot and debug applications
- Write unit tests
- Stay up to date with current best practices
- Collaborate with front end engineers
- Optimization of the application for maximum speed and scalability
- Work with stakeholders including the Executive, Product, Data, and Design teams to assist with web-application-related technical issues and support their requirements.
🙋 What are we looking for?
While we do not have a strict list of requirements for candidates interested in this role, some indicators that you would fit this role and our engineering culture are
- 2+ years of relevant work experience as a Backend engineer using Python frameworks like Django, Flask, etc
- Experience with relational databases like MySQL, PostgreSQL
- Good understanding of OOP concepts
- Understanding of code versioning tools, such as Git
- Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, and CSS3.
- Experience writing unit tests for the application is a plus
- Experience with building REST APIs
- Superior analytical, conceptual, and problem-solving skills.
- Strong verbal and written communication skills in English.
Responsibilities
-
Building out and manage a young data science vertical within the organization
-
Provide technical leadership in the areas of machine learning, analytics, and data sciences
-
Work with the team and create a roadmap to solve the company’s requirements by solving data-mining, analytics, and ML problems by Identifying business problems that could be solved using Data Science and scoping it out end to end.
-
Solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.
-
Develop heuristics, algorithms, and models to deanonymize entities on public blockchains
-
Data Mining - Extend the organization’s proprietary dataset by introducing new data collection methods and by identifying new data sources.
-
Keep track of the latest trends in cryptocurrency usage on open-web and dark-web and develop counter-measures to defeat concealment techniques used by criminal actors.
-
Develop in-house algorithms to generate risk scores for blockchain transactions.
-
Work with data engineers to implement the results of your work.
-
Assemble large, complex data sets that meet functional / non-functional business requirements.
-
Build, scale and deploy holistic data science products after successful prototyping.
-
Clearly articulate and present recommendations to business partners, and influence future plans based on insights.
Preferred Experience
-
>8+ years of relevant experience as a Data Scientist or Analyst. A few years of work experience solving NLP problems or other ML problems is a plus
-
Must have previously managed a team of at least 5 data scientists or analysts or demonstrate that they have prior experience in scaling a data science function from the ground
-
Good understanding of python, bash scripting, and basic cloud platform skills (on GCP or AWS)
-
Excellent communication skills and analytical skills
What you’ll get
-
Work closely with the Founders in helping grow the organization to the next level alongside some of the best and brightest talents around you
-
An excellent culture, we encourage collaboration, growth, and learning amongst the team
-
Competitive salary and equity
-
An autonomous and flexible role where you will be trusted with key tasks.
-
An opportunity to have a real impact and be part of a company with purpose.
●Work in a Business Process Outsourcing (BPO) Module providing Sales and Operations solutions to different local and international Business Development Unit and clients.
● Conduct quality-related reviews of customer service and engagement performance, evaluating against client and internal quality standards to ensure proper call and transaction handling. This includes call monitoring, review of data entry/transactions processed, and evaluation of any other performance metric that may impact quality (i.e. handle time, speed of answer, etc.).
● Provide specific feedback to supervisory and management staff regarding agent areas of opportunity for their team members. Support supervisory staff in their coaching efforts and provide coaching assistance as needed.
● Responsible for completing the required number of quality reviews for each customer service or engagement agent based on BPO Sales and Operations performance guidelines.
● Document all observations thoroughly by maintaining observation forms and call center monitoring databases.
● Participate in internal and external client monitoring/calibration sessions in order to ensure thorough understanding of programs, goals and client standards of excellence.
● As applicable, responsible for handling agent-level calls to maintain personal knowledge of program(s).
● May participate in and support the Quality Management (QM) Program in identifying and acting on opportunities that improve the quality and value of the service we provide to our clients and our employees.
● Responsible for understanding and complying with all policies, procedures, and regulations relating to job duties.
● Perform other duties as assigned by management.
The specific responsibilities and requirements for a Senior QA Specialist in an online casino may vary depending on the size and nature of the casino, as well as local regulations and industry standards.
Work Experience Requirement
●Must have prior QA Lead experience in BPO set up
● Experience working in performance based setting
● Demonstrate leadership capability
● Provide mentorship to QA
● Strong analytical and problem solving skills
● Has a comprehensive understanding of QA concepts and principles.
● Basic to Proficient knowledge on data reporting and analysis.
● People management and development skills
● Project Management
● Proficient in Microsoft Excel
● Must be willing to report onsite in Cambodia
Salary Php80,000
INR 117,587
The ideal candidate for this position will be responsible for lead generation and building a pipeline of top quality prospects. As a manager, the candidate will also be responsible for overseeing personnel in the company's inside sales team. Moreover, the candidate will act as a strategic partner with an eye towards long term sales strategy.
Key Responsibilities:
- Lead prospecting. Research on the leads generated and nurture them
- Follow up, set up calls and demos
- Understand customer needs and create proposals
- Conduct competitive research
What we look for?
- Great communication skills
- Understanding of tech products and good analytical skills
- Familiar with email marketing, CRM, and social media tools.
- Experience in selling Saas products for 1-3 years (must)
Sal range: 3 to 6 LPA







