Content Writer

Edtech sales

Job location Bangalore

6 days working

Mon to sat

10Am to 8 pm

6 months to 3 years experience required in edtech sales

Position of the role

The Principal Engineer reports to the Domain Lead and plays a key role in driving the technical vision, strategy, and execution of development initiatives. The Principal Engineer collaborates with multiple teams to ensure that software solutions are scalable, cost-optimized, performant, and aligned with business objectives.

Result expectation in terms of result areas and core activities

The Principal Engineer is responsible for defining, designing, and overseeing the implementation of complex software solutions. This role involves deep technical expertise, mentorship, and architectural guidance across multiple teams. The Principal Engineer also acts as a thought leader, influencing technology choices, best practices, and innovation within the organization.

Main objectives of the role

✔ Leading the design and architecture of the software by following best practices that ensure scalability, maintainability, cost optimization, and high performance.

✔ Driving innovation and continuous improvements in software development practices.

✔ Providing technical mentorship and coaching to engineers across teams.

✔ Ensuring the successful delivery of high-quality software aligned with business requirements.

✔ Defining and maintaining coding standards, best practices, and governance frameworks.

✔ Collaborating with product management and other stakeholders to shape the technical roadmap.

✔ Identifying technical debt and implementing strategies to mitigate it effectively.

✔ Promoting a culture of continuous learning, knowledge sharing, and cross-team collaboration.

✔ Leading DevOps, CI/CD, and automation to improve software delivery processes and efficiency.

Specialisation

✔ Deep understanding of software architecture, system design, and performance optimization.

✔ Translating complex business requirements into scalable and efficient software solutions.

✔ Handling large data transformations and ensuring system efficiency under the required load conditions.

✔ Leading initiatives for modernizing the technology stack and implementing best practices.

✔ Ensuring that security, scalability, and maintainability are embedded into development processes.

✔ Driving research and development efforts to explore emerging technologies and their business impact.

✔ Enabling teams to develop and maintain high-quality software through code reviews, architecture guidance, and technical strategy.

✔ Collaborating with product owners and stakeholders to ensure that development aligns with business goals and user needs.

Key processes in the role

✔ Agile / Scrum / Kanban development methodologies.

✔ CI/CD and DevOps practices to streamline delivery.

✔ Cloud-native architecture, monolith and microservices-based development.

✔ Scalable and high-performance computing strategies.

✔ Secure software development lifecycle (SDLC).

✔ Data-driven decision-making.

✔ Performance optimization.

Key relationships (teams and/or position titles)

✔ Engineering Teams (Developers, QA, DevOps).

✔ Head of Engineering and Technology Leadership.

✔ Product Management and Business Stakeholders.

✔ Customer Success and Solution Architects.

✔ External Technical Partners and Vendors.

Requirements

✔ Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.

✔ 10+ years of experience in software development, with a proven track record .

✔ Strong experience in Python and modern software engineering practices.

✔ Expertise in cloud computing platforms (AWS, Azure, or GCP).

✔ Experience in architecting and developing scalable, high-performance applications.

✔ Hands-on experience with CI/CD pipelines, DevOps tools, and automation.

✔ Deep understanding of microservices, monolith, APIs, and distributed systems.

✔ Strong experience with database technologies, including SQL and NoSQL.

✔ Excellent communication and leadership skills, with the ability to influence technical decisions across teams.

✔ A passion for mentoring, coaching, and fostering a strong engineering culture.

✔ Experience in defining and implementing technical governance and best practices.

Competences

✔ Strategic Thinking - 4

✔ Analytical Problem Solving - 4

✔ Technical Leadership & Mentorship - 4

✔ Communication & Collaboration - 3

Measures of success

✔ Technical leadership impact - measurable improvements in code quality, architecture, and scalability.

✔ Delivery of high-quality software within agreed timelines and business requirements.

✔ Successful mentorship - improvement in team skill levels, problem-solving capabilities, and innovation.

✔ Reduction of technical debt through strategic refactoring and modernization.

✔ Engineering team satisfaction - based on feedback and collaboration effectiveness.

✔ Improvements in system performance, stability, cost-optimization, and security.

✔ Adoption of best practices and emerging technologies across teams.

✔ Contribution to company-wide strategic initiatives through technical innovation and leadership.

Strategic Vendor Alliance – AWS Practice Lead and Overall P&L owner for India Business and Drive Profitability.

A) Managing the AWS Practice for Clients and executing the strategic business plan for the company and channel partners ecosystem with regards to different Services of AWS.

B) Built key relationships with various segment leaders in AWS from the Commercial and Public Sector and create Client led AWS Solutions for Partners to make simplifying cloud approach for customers.

C) Building a predictable pipeline of joint opportunities via differentiated proposition to the customers and Partners by working with AWS on a unique offerings specifically to Client.

D) Drive SMB focus approach for AWS which contributes 50%of Clients overall Business using ready to use cloud bundles for various workloads

E) Own the relationship map, drive and monitor cadence meetings, both with Internal Sellers and Channel Partners measured by different parameters on Incremental growth ,customer acquisition, partners onboarding, Manage Services led approach ,migration and deployment ,success of each GTM

F) Lead a Team of Product Mangers (who will drive specific GTM like SAP on AWS , SMB Scale Drive, Education focus,Cloud Front Drive- CDN bundle , Strategic Workloads like Microsoft Workload,DC Migration ,DR on Cloud)

G) Managing Partner Profitability metrics by creating various different avenues from recurring resale consumption and services led engagement for partners.

H) Worked on Long Term direction of the company business plan to drive Incremental Growth.

I)Collaborate with internal peers within the company to build cloud business model,how to attach manage services to various services of the Hyperscaler in building the framework.

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.

Responsibilities:

• Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
• Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
• Optimize model performance and accuracy through experimentation, iteration, and testing.
• Build and maintain ML infrastructure and tools to support model development and deployment.
• Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

• 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
• Experience with ML Ops, including deploying and managing ML models in production environments.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Embeddings and building on top of LLMs.
• Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

Key Objectives/Responsibilities of this Role:

• Understand the UI needs, backend design and data design and create the backend code for the same
• Backend development in NodeJs 12 & above, ExpressJs, NestJs, RESTful web services, Docker, MongoDB, Azure AKS or Kubernetes
• Collaboration with other team members (Architect, UI, backend developers, DBA, Data analytics team) to work in coherence
• Working experience into Agile and scrum methodologies
• Manage SDEs and Interns to drive the deliverables

Mandatory Skillset & Tools: NodeJs 12 and above, ExpressJs, NestJs, Writing Unit Tests , Scheduler, Mongo DB, working knowledge in Kubernetes (AKS), GIT version control, Event driven design, Microservices, con-currency, RESTful web-services, Docker

Primary Skill: NodeJs 12 & above ExpressJs, NestJs, Microsoft development platform, Testing & Debugging skills, Postman, CI/CD pipeline, Docker, Docker hub, Writing UNIT tests

Secondary Skill: Load & performance testing, testing REST Web services, Basic shell commands, Linux, Good written, verbal and presentation skills, Soft spoken, Pro-active

Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)

Salary: Competitive as per Industry Standard

We are expanding our Data Engineering Team and hiring passionate professionals with extensive

knowledge and experience in building and managing large enterprise data and analytics platforms. We

are looking for creative individuals with strong programming skills, who can understand complex

business and architectural problems and develop solutions. The individual will work closely with the rest

of our data engineering and data science team in implementing and managing Scalable Smart Data

Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale

Processing Clusters, Data Mining and Search Engines.

What You’ll Need:

• 3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal

Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied

data types.

• Proficiency in Python, Linux and shell scripting.
• Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
  ● Strong experience in developing the infrastructure required for data ingestion, optimal

extraction, transformation, and loading of data from a wide variety of data sources using tools like Azure Data Factory,  Azure Databricks (or Jupyter notebooks/ Google Colab) (or other similiar tools).

• Working knowledge of github or other version control tools.
• Experience with creating Restful web services and API platforms.
• Work with data science and infrastructure team members to implement practical machine

learning solutions and pipelines in production.

• Experience with cloud providers like Azure/AWS/GCP.
• Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
• Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
• Strong analytic skills related to working with unstructured datasets.

Good to have (to filter or prioritize candidates)

• Experience with testing libraries such as pytest for writing unit-tests for the developed code.
• Knowledge of Machine Learning algorithms and libraries would be good to have,

implementation experience would be an added advantage.

• Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
• Knowledge of Azure functions , Elastic search etc will be good to have.

• Having experience with model versioning (mlflow) and data versioning will be beneficial
• Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.

• Integration of user-facing elements developed by front-end developers
• Build efficient, testable, and reusable PHP modules
• Solve complex performance problems and architectural challenges
• Integration of data storage solutions

• Strong knowledge of PHP web frameworks
• Understanding the fully synchronous behavior of PHP
• Understanding of MVC design patterns
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Knowledge of object-oriented PHP programming
• Evolved Understanding of accessibility and security compliance
• Strong knowledge of the common PHP or web server exploits and their solutions
• Understanding fundamental design principles behind a scalable application
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Familiarity with limitations of PHP as a platform and its workarounds
• Creating database schemas that represent and support business processes
• Familiarity with SQL/NoSQL databases and their declarative query languages
• Proficient understanding of code versioning tools, such as Git

• A graduate or postgraduate degree in Computer Science or IT Engineering
• 3+ years of work experience developing commercially successful web products
• Experience with analytics and process automation
• Attention to detail and a disciplined mind
• Extraordinary analytical and logical prowess
• Common Sense and Curiosity