Technical Support L2 - Windows Server

Software Engineer – Tech Lead

- You are your own master.  We don't preach you, we just allow you to Innovate, Iterate, Learn and Adapt

- Work with one of India's leading fintech unicorn company

- ESOPs in the company

Requirements

• 6+ yrs of exposure in the art of writing code and solving problems on large scale.
• Should be language agnostic, with extensive and expert programming experience in any one programming language (strong OO skills preferred).
• Deep experience in at least one general programming language. Preferred (Java,Scala, C++)
• A solid foundation in computer science, with strong competencies in data structures,

algorithms, and software design.

• Worked end to end on 2-3 complex projects
• Worked in startup like environment with high levels of ownership and commitment
• Experience in building highly scalable business applications, which involve implementing

large complex business flows and dealing with huge amount of data.

• Extensive experience on working with distributed technologies like Kafka, MongoDb,

Redis/Aerospike, MySQL, AWS etc

• Experience with multi-threading and concurrency programming
• Ability to switch between the technologies and learn new skills on the go.

Roles and responsibilities

Drive discussions to create/improve the product, process and technology

• Build abstractions and contracts with separation of concerns for a larger scope
• Rapid prototyping
• Robust and scalable web-based applications
• Do high-level design with guidance; Functional modelling, break-down of a module
• Thinking platforms & reuse, the open-source contribution will be a plus
• Do incremental changes to architecture: impact analysis of the same
• Do performance tuning and improvements in large scale distributed systems
• Mentor young minds and foster team spirit

At Upswing, we are committed to building a robust, scalable & secure API platform to power the world of Open Finance.

We are a passionate and self-driven team of thinkers who aspire to build the rails to connect the legacy financial sector with financial innovators through a simple and powerful banking-as-a-service (BaaS) platform.

We are looking for motivated engineers who will be working in a highly creative and cutting-edge technology environment to build a world-class financial services suite.

About the role

As part of the DevSecOps team at Upswing, you will get to work on building state-of-the-art infrastructure for the future. You will also be –

• Managing security aspects of the Cloud Infrastructure 
• Designing and Implementing Security measures, Incident Response guidelines 
• Conducting Security Awareness Training
• Developing SIEM tooling and pipelines end to end for vulnerability/security/incident reporting 
• Developing automation and performing routine VAPT for Network and Applications
• Integrating with 3rd party vendors for the services required to improve security posture 
• Mentoring people across the teams to enable best practices 

What will you do if you join us?

• Engage in a lot of cross-team collaboration to independently drive forward DevSecOps practices across the org 
• Take Ownership of existing, ongoing, and future DevSecOps initiatives 
• Plan and Engage in Architecture discussions to bring in different angles (especially security angles) to the table
• Build Automation stack and tools for security pipeline 
• Integrate different security measures and pipelines with the SIEM tool
• Conducting routine VAPT using manual and automated workflows, generating and maintaining the report for the same
• Introduce and Implement best practices across teams for a great security posture in the org

You should have

• Curiosity for on-the-job learning and experimenting with new technologies and ideas
• A strong background in Linux environment
• Proven experience in Architecting networks with security first implementation
• Experience with VAPT tooling for Networks and Applications is required 
• Strong experience in Cloud technologies, multi-cloud environments, and best practices in Cloud 
• Experience with at least one scripting language (Ruby/Python/Groovy)
• Experience in Terraform is highly desirable but not mandatory
• Some experience with Kubernetes, and Docker is required 
• Understanding Java web applications and monitoring them for security vulnerabilities would be a plus 
• Any other DevSecOps-related experience will be considered

• Design and develop innovative, company impacting products and services to support infrastructure operations
• Design, develop and implement object-oriented PHP applications from prototype through implementation
• Integrate open source and commercial enterprise applications into an exposed API and web-based portal
• Create highly scalable and performant REST/SOAP web services
• Keep focus on end users and goals all through the development process
• Work closely with product management and stakeholders to ensure applications meet needs and expectations
• Adhere to the highest levels of technical discipline and excellence to set a standard for the larger development organization

Requirements

• Bachelor's Degree in Computer Science, related field, or comparable extra work experience
• Solid experience with SQL and relation databases
• Solid experience with Object Oriented Design and Development
• Experience Developing API Interfaces
• Experience with version control systems, preferably Git

Beneficial Skills

• Experience with non-relational data stores such as ZooKeeper or Memcache

• Delivering a high-quality application
• Integrating with front-end developers 
• Ensuring a required level of performance
• Writing test-backed server-side code
• Analyzing requirements and designing new functionality
• Supporting and fixing existing functionality
• Selecting and using the most appropriate and efficient technologies for a particular application
• Designing and building application layers

• Proficiency in ( C# | Visual Basic, depending on the specific project )
• Experience using .NET ( 4.5+ | Core )
• Experience in developing ( ASP.NET MVC | ASP.NET Core MVC ) applications
• Senior knowledge of ( Entity Framework 6.* | EF Core | NHibernate | ADO.NET )
• Proficient knowledge in ( MSSQL | MySQL | Oracle | other RDBMS )
• Database design including indexes and data integrity ( if RDBMS is required )
• Dependency injection pattern and IoC containers using at least one of: Autofac, Unity, Ninject, and/or SimpleIoc
• Writing tests with ( NUnit | XUnit | MSTest )
• Implementing enterprise application patterns ( if senior developer is required )
• Understanding of HTML, JS, and CSS
• Familiarity with the client side framework ( jQuery | Angular 1.* | Angular 2.*+ | React | other )
• Familiarity with ( Kendo UI | DevExpress | Syncfusion ) 
• Integrating web analytics tools ( particularly Google Analytics )
• Familiarity with ( Azure Web Apps | AWS Cloud )

Toplyne is a global SaaS product built to help revenue teams, at businesses with a self-service motion, and a large user-base, identify which users to spend time on, when and for what outcome. Think self-service or freemium-led companies like Figma, Notion, Freshworks, and Slack. We do this by helping companies recognize signals across their - product engagement, sales, billing, and marketing data.

Founded in June 2021, Toplyne is backed by marquee investors like Sequoia,Together fund and a bunch of well known angels. You can read more about us on - https://bit.ly/ForbesToplyne" target="_blank">https://bit.ly/ForbesToplyne , https://bit.ly/YourstoryToplyne" target="_blank">https://bit.ly/YourstoryToplyne.

• Design, Develop and maintain scalable data pipelines and Data warehouse to support continuing increases in data volume and complexity.

• Develop and implement processes and systems to supervise data quality, data mining and ensuring production data is always accurate and available for key partners and business processes that depend on it.

• Perform data analysis required to solve data related issues and assist in the resolution of data issues.

• Complete ownership - You’ll build highly scalable platforms and services that support rapidly growing data needs in Toplyne. There’s no instruction book, it’s yours to write. You’ll figure it out, ship it, and iterate.

• 3-6 years of relevant work experience in a Data Engineering role.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

• Experience building and optimising data pipelines, architectures and data sets.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Strong analytic skills related to working with unstructured datasets.

• Good understanding of Airflow, Spark, NoSql databases, Kakfa is nice to have.

• Experience working with ASP.NET MVC, Entity Framework, LINQ, NoSQL, and Message Queue
• Demonstrated understanding of best practices in building web based applications
• Familiarity with SQL Server / Oracle Databases
  
  
• Demonstrated knowledge of enterprise architecture, design patterns and SOA services 
  
  
• Responsible for design, code, configuration, and implementation of high quality software solutions
• Analyzes and automates tasks, automating tasks through scripting and tools
• Works closely with technical leaders to help develop solution architecture, core system components, and proof of concepts
• Work both autonomously and with relevant teams to tackle complex technical issues
• Participate in design, code, and QA walkthroughs and reviews

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
  
  

  Requirements

  • Proven working experience as a Data Analyst or Business Data Analyst
  • https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing and presenting findings
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics