11+ Mean-shift Jobs in Bangalore (Bengaluru) | Mean-shift Job openings in Bangalore (Bengaluru)

Job Title: Software Dev Engineer I

Location: Bangalore

Duration: 8 Months    

Job Type: Contract      

Work Type: Onsite 

 Job Description: 

The top 3 responsibilities:

·        Understand complex architecture and business problems to come up with extensible solutions.

·        Write high quality code that are modular, functional and testable.

·        Communicate, collaborate and work effectively in a global environment.

·         

Leadership Principles:

·        Ownership

·        Bias for Action

·        Deliver Results

·         

Mandatory Requirements:

·        1+ years of non-internship professional software development experience

·        Experience programming with at least one software programming language

·        Good understanding of OOPs programming

·         

Education or Certification:

·        Bachelors in CS, IT or BSC in CS

 Notice: Immediate Joiners only

Shift timings: 9 AM- 6 PM IST some flexibility will be required after 6 PM IST

Location: Bangalore

Relevant Exp: 2+ years

Gushwork is one of the fastest-growing AI startups globally, backed by Lightspeed, SIG, and B Capital . We’re building a productized services platform that helps SMBs scale using a powerful combination of human + AI-powered GTM execution.

In just over an year months, we’ve grown rapidly , serving SMBs across the US and India. And we’re only just getting started.

What You’ll Own

• Drive end-to-end sales: from outbound prospecting to demo to close
• Sell to SMBs in India and the US — with a clear focus on revenue impact
• Build and manage a robust pipeline across different time zones
• Understand client pain points and position Gushwork’s offerings as the go-to solution
• Collaborate with product and operations to ensure high-quality onboarding and delivery
• Bring feedback from the front lines to shape GTM strategy

What We’re Looking For

• Experience full-cycle sales experience, ideally in SaaS or tech-enabled services
• Proven success in closing SMB accounts — both domestic and/or international
• Strong communication, storytelling, and objection-handling skills
• Self-starter who thrives in fast-paced, high-growth environments
• Comfortable with US working hours (for part of the day)

Why Join Us

• Be part of a company scaling 6x in the next year
• Own your revenue — zero fluff, real deals, full credit
• Work with a lean, ambitious team solving a real market gap
• Build your career in the future of AI x services

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

Requirements:

• Previously help a DevOps Engineer or System Engineer role

• 4+ years of production Linux system admin experience in high traffic environment

• 1+ years of experience with Amazon AWS and related services (instances, ELB,

   EBS, S3, etc.) and abstractions on top of AWS.

• Strong understanding of network fundamentals, IP and related services (DNS, VPN, firewalls, etc.) and    

   security concerns.

• Experience in running Docker and Kubernetes clusters in production.

• Love automating mundane tasks and make developers life easy

• Must be able to code in, at a minimum, Python (or Ruby) and Bash.

• Non-trivial production experience with Saltstack and/or Puppet, Composer,Jenkins, GIT

• Agile software development best practices - continuous integration, releases,branches, etc.

• Experience with modern monitoring tools; capacity planning.

• Some experience with MySQL, PostgreSQL, ElasticSearch, Node.js, and PHP is a plus.

• Self-motivated, fast learner, detail-oriented, team player with a sense of humor

Experience in managing CI/CD using Jenkins.

Please find below updated JD for Java requirement.

-Work with a performance-oriented team driven by ownership and open to experiment.

• -6+ years of Java advanced software development experience, with concurrent (multi-threaded) programming highly desirable.
• -Strong experience on Core Java 8, Java EE, Spring Boot, Maven and Docker including Multi-threading.

.          -Strong problem solving skills, computer science fundamentals, data structures and algorithms.

• -Hands on experience with any SQL Database.
• -Ability to learn new technologies like ELK, stack, redis etc.
• -Must have expert level knowledge in Java, Springboot.
• -Must have knowledge or hands on experience in microservices, apache kafka and distributed caching.

.           -Experience in distributed/scalable systems

• -Strong knowledge of design patterns and software engineering best practices.
• -Familiarity with standard development tools and processes: Git, Eclipse, JUnit test, debugging, profiling, etc.

.           -Familiarity with CI/CD and DevOps

.           -Strong knowledge and previous experience in end-to-end design, development and subsequent

             support of large-scale data processing systems

.           - Familiarity and confidence working in an agile development environment.

.           - Good Problem solving skills

• - Good oral and written communication skills.
• - Strong debugging skills.

Required Skills/Qualifications: 

∙         B.Tech/MCA in Comput

Required Skills/Qualifications: 

Any Backend Technology is acceptable

∙         B.Tech/MCA in Computer Science or equivalent with 1-3 years’ experience with server-side web application development.

∙         Extensive development experience using LAMP or MEAN stack, RESTful web services or Node.js, HTML and CSS.

∙         Good understanding of Data structures and Relational Databases like MySQL or NoSQL Databases like MongoDB.

∙         Experience working with services in AWS such as EC2, RDS, and ELBs and have knowledge of VPCs.

∙         Experience with server side and client side MVC frameworks, Kafka Ansilble,Jenkins.

∙         Exposure to Continuous Integration (CI) and Continuous Deployment (CD), automated testing and agile development methods.

∙         Understanding of Version Management Tools like GitHub.

er Science or equivalent with 1-3 years’ experience with server-side web application development.

∙         Extensive development experience using LAMP or MEAN stack, RESTful web services or Node.js, HTML and CSS.

∙         Good understanding of Data structures and Relational Databases like MySQL or NoSQL Databases like MongoDB.

∙         Experience working with services in AWS such as EC2, RDS, and ELBs and have knowledge of VPCs.

∙         Experience with server side and client side MVC frameworks, Kafka Ansilble,Jenkins.

∙         Exposure to Continuous Integration (CI) and Continuous Deployment (CD), automated testing and agile development methods.

∙         Understanding of Version Management Tools like GitHub.

As a Software QA +  Support engineer , you will be responsible for the test planning as well as writing and executing functional and non-functional test cases for sprints and releases. You will be a part of an Agile development team and would have full access to the complete development life cycle including opportunity to shape requirements. You will also be responsible to work with customers to help debug issues. We are looking for a relevant experience of about 5 years.

Requirements

• Strong knowledge of QA methodology and tools. Ability to translate use cases and/or technical specifications into test cases.
• Experience working directly with customers and/or clients to debug issues or provide resolutions
• Ensures creation of test data to support test case execution and supports creation and maintenance of libraries of reusable test data sets.
• Reviews requirements specifications for testability and verifying/ensuring traceability of testing to requirements and vice versa
• Possess a detailed understanding of the requirements elicitation, analysis, and specification process including user requirement specifications and functional specifications for larger, complex applications.
• Experience working with project management tools like Azure DevOps or JIRA is preferred.
• Good Verbal and Written communication skills to communicate quality cross-functionally and with customers in formal and informal settings.

OnScreen was started to chart a better path for Enterprises facing countless barriers to adoption and efficiency. Our Founders, Directors, and Investors have extensive experience dealing with these problems and are passionate about building and providing a solution that alleviates these chronic pain points.

To know more about OnScreen, please visit https://www.onscreen.us/

We are looking for lifelong learners who are not afraid to experiment and want to be an integral part of the team. If this sounds like a place where you would want to work, please apply. 

We are hiring for Java senior Developers with Spring Boot and Microservices experience for Bangalore location. It is work from home now and after 6-8 months candidate must relocate to Bangalore.

Senior Java Developers

6-10 yrs

Should have hands on experience in Spring Boot and Microservices

   3+ years of experience in deployment, monitoring, tuning, and administration of high concurrency MySQL production databases.

• Solid understanding of writing optimized SQL queries on MySQL databases
• Understanding of AWS, VPC, networking, security groups, IAM, and roles.
• Expertise in scripting in Python or Shell/Powershell
• Must have experience in large scale data migrations
• Excellent communication skills.