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2006N/A

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6-50 employeesN/A

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BlueOptima%E2%80%99s%20%23SaaS%20%23technology%20objectively%20shows%20where%20%23Coding%20Effort%20is%20invested%20throughout%20the%20%23SoftwareDevelopment%20lifecycle.%20%23AppDev%20%23ApplicationDevelopment
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Jobs at BlueOptima

Java Developer

Founded 2006
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Bengaluru (Bangalore)
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2 - 6 years
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Best in industry8 - 12 lacs/annum

Openings with London based coding analytic company (BlueOptima Ltd.) Java skills required Work Location: Remote in India Employment Type: Full time employment. Experience: 2 to 6 years. Skills required: Java & J2EE , API's SQL / Postgres SQL , Data Structures and Algorithm

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Web Backend Engineer

Founded 2006
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Bengaluru (Bangalore), NCR (Delhi | Gurgaon | Noida)
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2 - 8 years
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Best in industry12 - 20 lacs/annum

Whom are we looking for? Our groundbreaking technology, requires highly skilled and talented Web Backend Developers to understand the depth of the problem and device a solution for it.We are seeking a Software Engineer, with a depth of experience in developing Web Applications enabled using REST APIs backed by a data warehouse solution, to join our growing company and be a part of our success story. We are looking for individual with great attention to detail, who is genuine, confident, committed and not only passionate about technology, but excited to work in a fun and friendly start-up environment. The ideal candidate will be passionate about technology and getting things to work while at the same time being able to mentor (and lead) other engineers by way of example to achieve excellence in their work.What does the role involve? As a Web Backend Software Engineer you will be responsible for creating REST APIs which are used to drive the User Interface. Given the nature of the application, these APIs needs to be very efficient and high performing. This requires optimising queries for faster execution and introducing database changes that may be required.You would be working with a complex technology stack which includes (but is not limited to) Spring, Hibernate, HornetQ, Quartz, etc. This requires extensive understanding of transaction management and data handling across different application layers.In addition to the technical ownership, you will also be involved in detailing requirements for requested functionalities and be responsible for providing technical insight into how requirements will be implemented and made available to users. Accurate estimation of tasks and planning are qualities we look for in our engineers.Responsibilities include:Develop, test, implement and maintain application softwareTake part in software and architectural development activitiesTransform requirements into implementation detailsDebug application issues and helping support respond to client queriesParticipate in application development meetingsProvide accurate estimates, clearly communicate status of tasks and identification of risksCommitment to accomplishing the task at hand and identify the fastest and most reliable way to solve a problemPerformance tuning of application code at different service levels Incorporate design changes to improve performance of the applicationInteract with customers of the application and help address issues reportedInteract with customers of the application and collect requirements or potential uses cases and draft technical and user requirementsESSENTIAL SKILLS / EXPERIENCE REQUIRED:Minimum Bachelor's degree in Computer Science or equivalentMinimum 2+ years experience with Java and J2EE/Java EEMinimum 2+ years experience with Spring MVC, Spring Security and HibernateStrong understanding of relational database and normal formsStrong understanding of SQL concepts and ability to write optimised and high performing queriesStrong understanding of Java concurrency, concurrency patterns, experience building thread safe codeExperience building RESTful web servicesExperience with web application servers like JBossStrong written and verbal communication skillsStrong interpersonal skills and time management skillsStrong problem solving and analytical skillsExperience using task tracking systems e.g. Jira and distributed version control systems e.g. GitDESIRABLE SKILLS / EXPERIENCE:Understanding of testNg/JUnitUnix/Windows shell and related command line toolsExperience in Continuous Integration and deployment tools such as JenkinsExperience with database partitioning and column IndexingExperience with query optimisation techniquesWhy work for us?Above market remunerationStimulating challenges that fully utilise your skillsWork on real-world technical problems to which solution cannot simply be found on the internetWorking alongside other passionate, talented engineersHardware of your choiceOur fast-growing company offers the potential for rapid career progression

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Machine Learning Data Engineer

Founded 2006
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NCR (Delhi | Gurgaon | Noida), Bengaluru (Bangalore)
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3 - 7 years
Experience icon
Best in industry12 - 30 lacs/annum

Machine Learning Data Engineer Engineering Gurgaon, Haryana, India Job Description Who are we? BlueOptima provides industry leading objective metrics in software development using it’s proprietary Coding Effort Analytics that enable large organisations to deliver better software, faster, and at lower cost. Founded in 2007, BlueOptima is a profitable, independent, high growth software vendor commercialising technology initially devised in seminal research carried out at Cambridge University. We are headquartered in London with offices in New York, Bangalore, and Gurgaon. BlueOptima’s technology is deployed with global enterprises driving value from their software development activities For example, we work with seven of the world’s top ten Universal Banks (by revenue), three of the world’s top ten telecommunications companies (by revenue, excl. China). Our technology is pushing the limits of complex analytics on large data-sets with more than 15 billion static source code metric observations of software engineers working in an Enterprise software development environment. BlueOptima is an Equal Opportunities employer. Whom are we looking for? BlueOptima has a truly unique collection of vast datasets relating to the changes that software developers make in source code when working in an enterprise software development environment. We are looking for analytically minded individuals with expertise in statistical analysis, Machine Learning and Data Engineering. Who will work on real world problems, unique to the data that we have, develop new algorithms and tools to solve problems. The use of Machine Learning is a growing internal incentive and we have a large range of opportunities, to expand the value that we deliver to our clients. What does the role involve? As a Data Engineer you will be take problems and ideas from both our onsite Data Scientists, analyze what is involved, spec and build intelligent solutions using our data. You will take responsibility for the end to end process. Further to this, you are encouraged to identify new ideas, metrics and opportunities within our dataset and identify and report when an idea or approach isn’t being successful and should be stopped. You will use tools ranging from advance Machine Learning algorithms to Statistical approaches and will be able to select the best tool for the job. Finally, you will support and identify improvements to our existing algorithms and approaches. Responsibilities include: Solve problems using Machine Learning and advanced statistical techniques based on business needs. Identify opportunities to add value and solve problems using Machine Learning across the business. Develop tools to help senior managers identify actionable information based on metrics like BlueOptima Coding Effort and explain the insight they reveal to senior managers to support decision-making. Develop additional & supporting metrics for the BlueOptima product and data predominantly using R and Python and/or similar statistical tools. Producing ad hoc or bespoke analysis and reports. Coordinate with both engineers & client side data-scientists to understand requirements and opportunities to add value. Spec the requirements to solve a problem and identify the critical path and timelines and be able to give clear estimates. Resolve issues and find improvements to existing Machine Learning solution and explain their impacts. ESSENTIAL SKILLS / EXPERIENCE REQUIRED: Minimum Bachelor's degree in Computer Science/Statistics/Mathematics or equivalent. Minimum of 3+ years experience in developing solutions using Machine learning Algorithms. Strong Analytical skills demonstrated through data engineering or similar experience. Strong fundamentals in Statistical Analysis using R or a similar programming language. Experience apply Machine Learning algorithms and techniques to resolve problems on structured and unstructured data. An in depth understanding of a wide range of Machine Learning techniques, and an understanding of which algorithms are suited to which problems. A drive to not only identify a solution to a technical problem but to see it all the way through to inclusion in a product. Strong written and verbal communication skills Strong interpersonal and time management skills DESIRABLE SKILLS / EXPERIENCE: Experience with automating basic tasks to maximise time for more important problems. Experience with PostgreSQL or similar Rational Database. Experience with MongoDB or similar nosql database. Experience with Data Visualisation experience (via Tableau, Qlikview, SAS BI or similar) is preferable. Experience using task tracking systems e.g. Jira and distributed version control systems e.g. Git. Be comfortable explaining very technical concepts to non-expert people. Experience of project management and designing processes to deliver successful outcomes. Why work for us? Work with a unique a truly vast collection of datasets Above market remuneration Stimulating challenges that fully utilise your skills Work on real-world technical problems to which solution cannot simply be found on the internet Working alongside other passionate, talented engineers Hardware of your choice Our fast-growing company offers the potential for rapid career progression

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