Sr. Software Engineer

 Profile: Senior Java Developer

🔷 Experience: 5+ Years

🔷 Location: Remote

🔷 Shift: Day Shift

(Only immediate joiners & candidates who have completed notice period)

✨ What we want:

✅ AWS cloud services (MANDATORY)

✅ Docker containerization (MANDATORY)

✅ Spring/Spring Boot framework

✅ RESTful API development

✅ Microservices architecture

✅ Database experience (SQL/NoSQL)

✅ Git version control & CI/CD

✅ Kubernetes orchestration

We are a tech venture which provides Product Engineering, QA Automation, Infrastructure, Data, and Market Research services.

Technical Proficiency : 
Must have : 

• Strong development experience in Python in the environment of Unix/Linux/Ubuntu

• Strong practical knowledge of Python and its libraries.

• Current working experience with cloud deployment of AWS/Azure/GCP, Microservice architecture, and Docker in Python.

• Good knowledge of CI/CD and DevOps practices

• Good Experience of Python with Django/ Scrapy/ Flask frameworks.

• Good Experience in Jupyter/ Docker/ Elastic Search, etc.

• Solid understanding of software development principles and best practices.

• Strong analytical thinking and problem-solving skills.

• Proven ability to drive large-scale projects with a deep understanding of Agile SDLC, high collaboration, and leadership.
  
  Good to have : 

• Expected to have migration experience from one version to the other, as this project is about migration to the latest version.

• Preferred if had an OpenEdx platform experience or any LMS platform. 

   

Hiring For SDE II - Python (Remote)

The Impact you will create:

• Build campaign generation services which can send app notifications at a speed of 10 million a minute

• Dashboards to show Real time key performance indicators to clients

• Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds

• Building highly available & horizontally scalable platform services for ever growing data

• Use cloud based services like AWS Lambda for blazing fast throughput & auto scalability

• Work on complex analytics on terabytes of data like building Cohorts, Funnels, User path analysis, Recency Frequency & Monetary analysis at blazing speed

• You will build backend services and APIs to create scalable engineering systems.

• As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development and seamless collaboration with all functions.

• You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.

• Collaborating various highly-functional teams in the company to meet deliverables throughout the software development lifecycle.

• Identify and improvise areas of improvement through data insights and research.

Primary Responsibilities

• End-to-end ownership of product development, from design, through implementation, testing, deployment, and maintenance

• Translating high-level requirements and end-user use cases into design proposals, decomposing complex features into smaller, short-term deliverable tasks

• Maintaining constant focus on scalability, performance and robustness of architecture

• Designing and implementing logging, monitoring and alerting systems for existing and new infrastructure

• Documenting API's and architecture design

• Mentor and guide juniors on their path to become solid developers

   

What we look for?

• 4+ of industry experience in technical leadership roles

• Solid knowledge of Python, SQL, NoSQL, shell scripting and Linux operating environment

• End-to-end experience in design and development of highly scalable enterprise and cloud data products

• Ability to challenge and redefine existing architecture to create robust, scalable and reliable products

• Hands-on experience with design and troubleshooting of scalable web services, queue based systems, distributed databases and streaming services

• Experience with modern DevOps technologies such as kOps, Kubernetes and Docker, CI/CD, monitoring and autoscaling

Key Responsibilities: 

• Rewrite existing APIs in NodeJS. 
• Remodel the APIs into Micro services-based architecture. 
• Implement a caching layer wherever possible. 
• Optimize the API for high performance and scalability. 
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required: 

• At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds. 
• Excellent hands-on experience using MySQL or any other SQL Database. 
• Good knowledge of MongoDB or any other NoSQL Database. 
• Good knowledge of Redis, its data types, and their use cases. 
• Experience with graph-based databases like GraphQL and Neo4j. 
• Experience developing and deploying REST APIs. 
• Good knowledge of Unit Testing and available Test Frameworks. 
• Good understanding of advanced JS libraries and frameworks. 
• Experience with Web sockets, Service Workers, and Web Push Notifications. 
• Familiar with NodeJS profiling tools. 
• Proficient understanding of code versioning tools such as Git. 
• Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms. 
• Should be a fast learner and a go-getter — without any fear of trying out new things Preferences. 
• Experience building a large scale social or location-based app.

Experience - 2 to 6 Years

Work Location - Pune

Datametica is looking for talented SQL engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.

Mandatory Skills:

• Strong in SQL development
• Hands-on at least one scripting language - preferably shell scripting
• Development experience in Data warehouse projects

Opportunities:

• Selected candidates will be provided learning opportunities on one or more of the following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume, and KafkaWould get a chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
• Will play an active role in setting up the Modern data platform based on Cloud and Big Data
• Would be part of teams with rich experience in various aspects of distributed systems and computing