Company Akridata is a US based stealth mode tech startup founded by founders behind successful startups(VxTel - $550M exit and Virident - $700M exit). We are looking into addressing challenges in certain use cases involving high volume and high bandwidth data generation and processing. The Bangalore center owns all SW engineering activities for the company. If you are excited to be part of an early stage startup involved with building high performance distributed SW from scratch and influence product roadmap, then we may have an interesting opportunity for you. What we are looking for i. Strong CS fundamentals and algorithms. ii. Hands-on programming experience preferably in high level languages like Scala/Java/Go. iii. Good problem solving skills iv. Willing and enthusiastic about learning different technologies based on project requirements v. Experience with participating in early stage feature design and development in core distributed systems like distributed database, distributed file system, big data platforms etc. vi. Experience leading development teams is a bonus. Technology areas we work i) big data components - Spark, Hadoop, HDFS ii) ML components - Tensorflow, Spark-MLlib iii) Cloud(AWS) hosted scalable data and control path SW iv) High performance data paths(ML related) with usage of GPUs v) Algorithms around efficient techniques for data summarization
At Hotstar, we have over 100 million users on Play Store & capture close to a billion clickstream messages daily. The engineering team at Hotstar is at the centre of the action and is responsible for creating the unmatchable user experience. Our engineers solve real-life complex problems and create compelling experiences for our customers. As an engineer in the Personalisation team, you will build platforms and tools that deliver personalised recommendations to 150+ million users. You will work on building storage solutions and microservices that serve recommendations at a rate of few 100K requests per second. You will build tools that serve recommendations to our users in real-time. The pace of our growth is incredible. If you enjoy working on problems at scale and if you want to build our platform for the next 100 million, join us! Your key responsibilities • You will build robust, secure and scalable microservices to power the Personalisation engine at Hotstar • You will design and implement low latency caching and storage solutions • You will build stream processing pipelines to compute personalised recommendations for our users in real-time • You will continuously evaluate relevant technologies, influence and drive architecture and design discussions What to bring • BE/B.Tech/M.Tech/PhD in Computer Science or a related field. • Strong coding skills (Python or Java or Golang) • Experience building distributed domain-driven microservices • Strong understanding of database and storage fundamentals • Experience with AWS stack
Senior Backend Engineer We are looking for Software Engineers to work across our engineering teams to build web applications and backend systems that perform at scale. The ideal candidate is adept at writing robust, extensible, and efficient code and has a knack for solving complex problems with simple solutions. Our stack consists primarily of Django on the backend and Angular on the frontend. We see technology as a means to solving problems and getting things done and thus prioritize talent over existing skillset. We heavily leverage many open-source services like RabbitMQ, PostgreSQL, Docker, Kubernetes, etc. Experience with these and other similar services is a plus.
Amazon CloudSearch from Amazon Web Services (AWS) is looking for Software Development Engineers for its Bangalore team who can help build cutting edge search technologies for customers of all sizes. If you have a solid understanding of fundamental algorithms and system design and are able to produce bulletproof code, we are looking for you. CloudSearch team develops and maintains 2 of the AWS services "Amazon Elasticsearch Service" and "Amazon CloudSearch". We are part of AWS, Amazon web services. As a small company, we have a culture of creative problem solving, intellectual design, fast-paced development, and passionate product delivery. As a subsidiary of Amazon, we also have the longevity and resources of a larger company and the ability to quickly introduce our technology to millions of users. As a Elasticsearch Engineer, you will: · Design, develop, and support a world-class CloudSearch and Elasticsearch platform that manages thousands of search domains across 2 AWS services. · Focus on scalability, performance, service robustness, and cost trade-offs. (Especially as they pertain to a highly-virtualized, elastic, cloud-based environment) · Apply scientific analysis and mathematical modeling techniques to predict, measure, and evaluate the consequences of designs and the ongoing success of our platform · Continuously drive to explore, improve, enhance, automate, and optimize distributed systems and tools to best meet evolving business and market needs · Work alongside a dedicated operations team to develop and support the smooth 24x7 operation of our worldwide service · Participate in setting a vision and objectives for Amazon CloudSearch in alignment with business and market needs · Invent the future of search instead of just being a bystander · Mentor other SDEs and advise the leadership team on the technical vision.
Fluent in either Python, NodeJS. Has worked on either MySql, Postgresql, MongoDB Experience working with Payment systems, workflow management systems, chat systems is a plus. Has working knowledge on the complete development stack Fluent with AWS, GIT Knowledge on Continuous Integration ( CI ), Automated Deployment tools is a plus Previous experience of leading a team, architecting is a plus Open Source contributions is a plus
We are looking to hire Tech Lead who is experienced in virtualization, cloud, distributed systems to work on next generation software defined compute, storage and networking technologies.. You will be involved in architecting, building infrastructure product requiring knowledge of virtualisation, containers, networking and storage. Technical leadership, code reviews, pair programming, writing production level code along with unit tests will be your daily job .
Job Description SigTuple is seeking Systems or Backend Engineers engineers to build a highly scalable platform for running deep learning based medical solutions. The engineering team of SigTuple is responsible for simplifying complex workflows of medical analyses into an elegant software design to make it scalable and distribute it across hundreds of machines. In this role, you'll utilize a combination of systems design experience, network knowledge, troubleshooting skills, and programming to to ingest terabytes of data, analyse it using distributed computing and deliver infrastucture and storage platform services. The ideal candidate is a technical generalist with skills ranging from production systems/network management to software development. Experience with delivering in cloud based platforms is a must. Responsibilities 1. Design and create distributed system software frameworks for processing data in a near real-time manner. 2. Create next generation software for data scientists to analyse and train their AI models on which require you to understand data science and AI. 3. Complete ownership of infrastructure components and automation of operational activities. 4. Ensuring reliability of all systems made by various development teams. Requirements 1. BTech/MTech in any engineering discipline. 2. 3-6 years of experience in an Backend or Systems Role. 3. Experience in management of cloud computing services. Extensive knowledge of any one cloud platform (AWS, Azure, OpenStack etc.) 4. Proficiency with OS and network fundamentals 5. Experience of working with scale is a must 6. Hands on experience with machine learning will be a plus
Work with the Sales team to identify and qualify business opportunities. Identify key customer technical objections and develop the strategy to resolve technical impediments to business transactions. Take responsibility for technical aspects of solutions, including activities such as supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources. Work closely with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Prepare and deliver product messaging in an effort to highlight the G Suite value proposition using techniques including whiteboard and slide presentations, product demonstrations, white papers, trial management and RFI response documents. Deliver recommendations on integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution providing best practice advice to customers to optimize Google Cloud Platform effectiveness.
Job Title: Distributed Systems Engineer - SDET Job Location: Pune, India Job Description: Are you looking to put your computer science skills to use? Are you looking to work for one of the hottest start-ups in Silicon Valley? Are you looking to define the next generation data management platform based on Apache Spark? Are you excited by the idea of being a Spark committer? If you answered yes to all of the questions above, we definitely want to talk to you. We are looking to add highly motivated engineers to work as a QE software engineer in our product development team in Pune. We work on cutting edge data management products that transform the way businesses operate. As a distributed systems engineer (if you are good) , you will get to work on defining key elements of our real time analytics platform, including 1. Distributed in memory data management 2. OLTP and OLAP querying in a single platform 3. Approximate Query Processing over large data sets 4. Online machine learning algorithms applied to streaming data sets 5. Streaming and continuous querying Requirements: 1. Experience in testing modern SQL, NewSQL products highly desirable 2. Experience with SQL language, JDBC, end to end testing of databases 3. Hands on Experience in writing SQL queries 4. Experience on database performance benchmarks like TPC-H, TPC-C and TPC-E a plus 5. Prior experience in benchmarking against Cassandra or MemSQL is a big plus 6. You should be able to program either in Java or have some exposure to functional programming in Scala 7. You should care about performance, and by that, we mean performance optimizations in a JVM 8. You should be self motivated and driven to succeed 9. If you are an open source committer on any project, especially an Apache project, you will fit right in 10. Experience working with Spark, SparkSQL, Spark Streaming is a BIG plus 11. Plans & authors Test plans and ensure testability is considered by development in all stages of the life cycle. 12. Plans, schedules and tracks the creations of Test plans / automation scripts using defined methodologies for manual and/or automated tests 13. Work as QE team member in troubleshooting, isolating, reproducing, tracking bugs and verifying fixes. 14. Analyze test results to ensure existing functionality and recommends corrective action. Documents test results, manages and maintains defect & test case databases to assist in process improvement and estimation of future releases. 15. Performs the assessment and planning of test efforts required for automation of new functions/features under development. Influences design changes to improve quality and feature testability. 16. If you have solved big complex problems, we want to talk to you 17. If you are a math geek, with a background in statistics, mathematics and you know what a linear regression is, this just might be the place for you 18. Exposure to stream data processing Storm, Samza is a plus Open source contributors: Send us your Github id Product: SnappyData is a new real-time analytics platform that combines probabilistic data structures, approximate query processing and in memory distributed data management to deliver powerful analytic querying and alerting capabilities on Apache Spark at a fraction of the cost of traditional big data analytics platforms. SnappyData fuses the Spark computational engine with a highly available, multi-tenanted in-memory database to execute OLAP and OLTP queries on streaming data. Further, SnappyData can store data in a variety of synopsis data structures to provide extremely fast responses on less resources. Finally, applications can either submit Spark programs or connect using JDBC/ODBC to run interactive or continuous SQL queries. Skills: 1. Distributed Systems, 2. Scala, 3. Apache Spark, 4. Spark SQL, 5. Spark Streaming, 6. Java, 7. YARN/Mesos What's in it for you: 1. Cutting edge work that is ultra meaningful 2. Colleagues who are the best of the best 3. Meaningful startup equity 4. Competitive base salary 5. Full benefits 6. Casual, Fun Office Company Overview: SnappyData is a Silicon Valley funded startup founded by engineers who pioneered the distributed in memory data business. It is advised by some of the legends of the computing industry who have been instrumental in creating multiple disruptions that have defined computing over the past 40 years. The engineering team that powers SnappyData built GemFire, one of the industry leading in memory data grids, which is used worldwide in mission critical applications ranging from finance to retail.
You’re Part: Communication Drive discussions to create/improve product, process and technology Coding Thinking tools, creating tools Build abstractions and contracts with separation of concerns for a larger scope Rapid proto-typing Robust and scalable web-based applications Design Do high level design with guidance; Functional modelling, break-down of a module Thinking platforms & reuse Architecture Do incremental changes to architecture: impact analysis of the same Do performance tuning and improvements in large scale distributed systems Org Development Mentor young minds and foster team spirit You’re Array (Nice to Haves): The farsightedness it takes to look at business problems critically from more than one perspective. The capability to craft object-oriented models and design data structures, implement business logic and data models with suitable class design. Ability to break-down larger/fuzzier problems into smaller ones in the scope of the product Sound soft skills to gel with colleagues from other teams in order to harness the development process. An understanding of the industry’s coding standards and an ability to create appropriate technical documentation. You (Must Haves): Extensive and expert programming experience in any one programming language (strong OO skills preferred). Deep experience in at least one Object Oriented programming language (Java/C/C++, Ruby, Clojure, Scala,and SQL) A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design. Have a penchant for solving complex and interesting problems Worked in startup like environment with high levels of ownership and commitment BTech, MTech, or PhD in Computer Science or related technical discipline (or equivalent). Excellent coding skills – should be able to convert design into code fluently Good skills to write unit & integration tests with reasonable coverage of code & interfaces - TDD is a plus Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amount of data. Experience with multi-threading and concurrency programming Above exposure in the art of writing codes and solving problems for large scale. You’re Cheers! Apart from all the general benefits of best in industry compensation, equity, healthcare etc , Flipkart prides in calling out the big hand for you to be Great Work, Great People and Great environment. We call ourselves an incubator for engineers where you get all the optimal conditions to do and experience your best.
COMPANY PROFILE - Manthan (www.manthan.com) Manthan serves as the Chief Analytics Officer for global consumer industries. With its portfolio of analytic products and solutions Manthan helps its customers derive competitive advantage through data-driven decisions. Manthan’s solutions are architected with deep industry specificity, bringing together analytics, technology and industry-practices to place sophisticated, yet intuitive analytical capability. Headquartered in Bangalore with offices in US, UK, Singapore and Brazil, Manthan’s client footprint spans 20 countries. Manthan serves the analytics needs of Retail, CPG, Pharma and Market Research industries. Manthan is venture-funded with Fidelity Private Equity, Norwest Venture Partners and Temasek, on its board.