Backend Engineer

As an engineer, you will help with the implementation, and launch of many key product features. You will get an opportunity to work on a wide range of technologies (including Spring, AWS Elastic Search, Lambda, ECS, Redis, Spark, Kafka etc.) and apply new technologies for solving problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with skilled and motivated engineers who are already contributing to building high-scale and high-available systems.

If you are looking for an opportunity to work on leading technologies and would like to build product technology that can cater millions of customers inclined towards providing them the best experience, and relish large ownership and diverse technologies, join our team today!

What You'll Do:

• Creating detailed design, working on development and performing code reviews.
• Implementing validation and support activities in line with architecture requirements
• Help the team translate the business requirements into R&D tasks and manage the roadmap of the R&D tasks.
• Designing, building, and implementation of the product; participating in requirements elicitation, validation of architecture, creation and review of high and low level design, assigning and reviewing tasks for product implementation.
• Work closely with product managers, UX designers and end users and integrating software components into a fully functional system
• Ownership of product/feature end-to-end for all phases from the development to the production.
• Ensuring the developed features are scalable and highly available with no quality concerns.
• Work closely with senior engineers for refining the and implementation.
• Management and execution against project plans and delivery commitments.
• Assist directly and indirectly in the continual hiring and development of technical talent.
• Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.

The ideal candidate is a passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end.

What You'll Need:

• A Bachelor's degree in Computer Science or related technical discipline.
• 2-3+ years of Software Development experience with proficiency in Java or equivalent object-oriented languages, coupled with design and SOA
• Fluency with Java, and Spring is good.
• Experience in JEE applications and frameworks like struts, spring, mybatis, maven, gradle
• Strong knowledge of Data Structures, Algorithms and CS fundamentals.
• Experience in at least one shell scripting language, SQL, SQL Server, PostgreSQL and data modeling skills
• Excellent analytical and reasoning skills
• Ability to learn new domains and deliver output
• Hands on Experience with the core AWS services
• Experience working with CI/CD tools (Jenkins, Spinnaker, Nexus, GitLab, TeamCity, GoCD, etc.)

• Expertise in at least one of the following:

    - Kafka, ZeroMQ, AWS SNS/SQS, or equivalent streaming technology

    - Distributed cache/in memory data grids like Redis, Hazelcast, Ignite, or Memcached

    - Distributed column store databases like Snowflake, Cassandra, or HBase

    - Spark, Flink, Beam, or equivalent streaming data processing frameworks

• Proficient with writing and reviewing Python and other object-oriented language(s) are a plus
• Experience building automations and CICD pipelines (integration, testing, deployment)
• Experience with Kubernetes would be a plus.
• Good understanding of working with distributed teams using Agile: Scrum, Kanban
• Strong interpersonal skills as well as excellent written and verbal communication skills

• Attention to detail and quality, and the ability to work well in and across teams

Job Location

Bengaluru, India

Job Type

Contractual Position with Potential for Full-Time Employment Based on Performance Review

Experience Required

4 years of experience in Java & Technologies

Company Description

Welcome to Unitalks Technologies! We are a managed services provider that helps our clients hire top-quality talent. We are hiring for one of our clients in Bengaluru, more details will be provided about the company and culture later in the process.

Role Description

This is a contract role for a Senior Java Software Engineer. As a Senior Java Software Engineer, you will be responsible for designing and developing software solutions, building and maintaining Microservices architectures, and programming using Spring Boot. This role is based in Bengaluru and is an on-site position.

Qualifications

• Software Development and Programming skills
• Experience with Microservices and the Spring Boot
• Proficiency in Java, SQL and UNIX
• Good in deployment on different platforms like AWS, Azure, etc.
• Strong problem-solving and analytical skills
• Excellent communication and teamwork abilities
• Bachelor's or Master's degree in Computer Science or a related field
• Experience with Agile methodologies and CI/CD pipelines
• Knowledge of cloud platforms and containerization technologies is a plus

Title: Sr.java Developer

Location  : Pune

Exp : 7+ Years

-              Strong Java background and backend Database experience

              Must have strong exp in SQL

             Experience should include working on an Enterprise level product.

-              Should have knowledge in Apache Calcite

WHO WILL LOVE THIS JOB?

• Attracted to creativity, innovation, and eagerness to learn

• Alignment to a fast-paced organization and its short-term and long-term goals

• An engaging, open, genuine personality that naturally encourages interaction with individuals at all levels

• Strong value system and sense of ethics • Absolute dedication to premium quality

• Want to build strong core product team capable of developing solutions for complex, industry-first problems.

• Build balance of experience, knowledge, and new learnings

ROLES AND RESPONSIBILITIES?

• Driving the success of the software engineering team at Datamotive.

• Collaborating with senior and peer engineers to prioritize and deliver features on the roadmap.

• Build strong development team with focus on building optimized & usable solutions.

• Research, Design & Develop distributed solution to handle workload mobility across multi & hybrid cloudsr

• Assist in Identifying, Researching & Designing newer features and cloud platform support in areas of disaster recovery, data protection, workload migration etc.

• Assist in building product roadmap.

• Conduct pilot tests to assess the functionality of newly developed programs.

• Front facing customers for product introduction, knowledge transfer, solutioning, bugs triaging etc.

• Assist customers by giving product demos, conducting POCs, trainings etc.

• Manage Datamotive infrastructure, bring innovative automation for optimizing infrastructure usage through monitoring and scripting. • Design test environments to simulate customer behaviours and use cases in VMware vSphere, AWS, GCP, Azure clouds. • Help write technical documentation, generate marketing content like blogs, webinars, seminars etc.

TECHNICAL SKILLS?

• Experience in software development with relevant domain understanding of Data Protection, Disaster Recovery, Ransomware Recovery.

• A strong understanding and demonstrable experience with at least one of the major public cloud platforms (GCP, AWS, Azure or VMware)

• A strong understanding and experience of designing and developing architecture of complex, distributed systems.

• Insights into development of client-server SaaS applications with good breadth across networking, storage, micro-services, and other web technologies.

• Experience of building and leading strong development teams with systems product development background

• Programming knowledge in either of GO Lang, C, C++, Python or Shell script.

• Should be a computer science graduate with strong fundamentals & problem-solving abilities.

• Good understanding of virtualization, storage and cloud platforms like VMware, AWS, GCP, Azure and/or Kubernetes will be preferable

Your Responsibilities:

• Own the backend stack – Python based, that powers our product

• Collaborate with Data Scientists, Backend Developers(Node.js), Front-end developers, DevOps to design and implement new features
• Build and maintain several Backend Jobs and REST’ful Services which will be used internally in a Macroservices/Distributed services environment.
• Deploy and monitor the Jobs and endpoints ensuring availability and scalability(ability to handle 100X data processing load)
• Work on full project lifecycle starting from requirements gathering/understanding the problem to deploying and maintaining the project.

Skills that you bring Along:

• A minimum 8+ years of extensive work experience with Python and related frameworks – particularly Flask.
• Extensive experience in designing and scheduling backend Python jobs
• Hands on working in different file formats like Json, Parquet, csv etc. coming from Data Science side.
• Extensive experience with databases such as Postgres and Mongo.
• Extensive experience in Cloud Infrastructure (AWS based) – e.g. AWS API Gateway, Lambda Functions etc.
• Experience with cache like Redis and/or Memory cache
• Good experience in Microservices/Macroservices or Event driven Architectures
• Good experience with design patterns
• Experience in writing advanced SQL-queries, good knowledge of PL/SQL
• Good understanding of Software Design Principles and domain-driven design
• Good experience with Continuous Delivery and Containerization(Docker)
• Good experience in designing and maintaining REST’ful API endpoints
• Ideally maintaining infrastructure-as-code using Terraform
• Ideally experience in parallel data processing and building end-to-end Data Pipelines using tools such as Airflow/Prefect and Spark/Dask
• Excellent communication skills and the ability to explain complex topics in a simple manner

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.