Apache Kafka Jobs in Bangalore (Bengaluru)

About the Role We are looking for a Data Engineer to help us scale the existing data infrastructure and in parallel work on building the next generation data platform for analytics at scale, machine learning infrastructure and data validation systems.In this role, you will be responsible for communicating effectively with data consumers to fine-tune data platform systems (existing or new), taking ownership and delivering high performing systems and data pipelines, and helping the team scale them up, to endure ever growing traffic.This is a growing team, which makes for many opportunities to be involved directly with product management, development, sales, and support teams. Everybody on the team is passionate about their work and we’re looking for similarly motivated “get stuff done” kind of people to join us! Roles & Responsibilities Engineer data pipelines (batch and real-time ) that aids in creation of data-driven products for our platform Design, develop and maintain a robust and scalable data-warehouse and data lake Work closely alongside Product managers and data-scientists to bring the various datasets together and cater to our business intelligence and analytics use-cases Design and develop solutions using data science techniques ranging from statistics, algorithms to machine learning Perform hands-on devops work to keep the Data platform secure and reliable Skills Required Bachelor's degree in Computer Science, Information Systems, or related engineering discipline 6 + years’ experience with ETL, Data Mining, Data Modeling, and working with large-scale datasets 6+ years’ experience with an object-oriented programming language such as Python, Scala, Java, etc Extremely proficient in writing performant SQL working with large data volumes Experience with map-reduce, Spark, Kafka, Presto, and the ecosystem.  Experience in building automated analytical systems utilizing large data sets. Experience with designing, scaling and optimizing cloud based data warehouses (like AWS Redshift) and data lakes Familiarity with AWS technologies preferred Qualification – B.Tech/M.Tech/MCA(IT/Computer Science) Years of Exp – 6-9

About Us upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc.  upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. upGrad was awarded the Best Tech for Education by IAMAI for 2018-19 upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-after startups in India  upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany. We were also covered by the Financial Times along with other disruptors in Ed-Tech upGrad is the official education partner for Government of India - Startup India program  Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning    About the Role A highly motivated and passionate individual who has experience in executing end to end web based application projects and bringing them to production quickly and with high quality. Passionate about building flexible and scalable solutions with an eye for detail and can weigh pros and cons to find best possible solutions.  Role and Responsibilities Collaborate with Product Manager and Engineering Manager to plan, implement and deliver tasks and modules on a timely basis with best practices and adherence to SOPs. Understand the product specification and be able to ask questions and gather information and feedback to build a well rounded solution.  Deliver end to end applications starting from front end web development, back end development, middleware integration and persisting data in no SQL or RDBMS databases. Should be able to use existing front-end components to build web based UI interfaces. Strong technical design approach to problem solving for backend services. Should be able to communicate and defend the tech design choices taken for long term scalability and maintainability. Play the role of an unblocker in a tight scrum environment. Should be able to help other developers with challenges and help achieve milestones as per plan. Prioritize to manage ad-hoc requests in parallel with ongoing projects. Document API specification, technical design and other key information for all projects/modules/services owned. Skills/Experience A highly talented developer with 8+ years of hands-on experience in building secure and scalable web based applications using Java in backend and JS based frontend frameworks. Strong knowledge of Java 8+, databases (SQL and NoSQL) , MySql, Mongo,  Experience working with Cassandra, Spring Boot, Apache Spark, Kafka, RabbitMQ is highly desirable Working knowledge of any one or more of AngularJS/ReactJS/VueJS and CSS3, HTML5. Strong experience in data modelling for data storage tools in SQL; experience with noSQL is highly desirable.  Experience building scalable solutions for 2x, 5x and 10x growth with high quality and flexibility. Practitioner of test driven development practices. Experience in creating and adhering to best practices for development. Experience working with container technologies like Docker and knowledge of CI/CD processes for automated integration and deployment. Basic knowledge of AWS preferred. Strong experience in Microservices (SRP) paradigm. Willing to learn new technologies (Golang) Qualification – B.Tech/M.Tech/MCA(IT/Computer Science) Years of Exp – 8-10+ years

Primary responsibility is to take up product development as a full stack developer and ability to work with the larger product team, arrive at best architectural approach, choose most appropriate frameworks, code and deliver Shown success as an individual contributor. Should have consistently demonstrated ability and commitment to deliver major initiatives in a timely manner Embrace good development practices including design specification, coding standards, unit testing and code reviews A self­starter, who loves to take on hard problems, loves solving service scalability problems, enjoys breaking things and enthusiastic to learn new technologies and working in startup environments

3. Key Result Areas   ·         Create and maintain optimal data pipeline, ·         Assemble large, complex 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. ·         Keep our data separated and secure ·         Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. ·         Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics. ·         Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. ·         Work with data and analytics experts to strive for greater functionality in our data systems   4. Knowledge, Skills and Experience   Core Skills: We are looking for a candidate with 7+ years of experience in a Data Engineer role. They should also have experience using the following software/tools: ·         Experience in developing Big Data applications using Spark, Hive, Sqoop, Kafka, and Map Reduce ·         Experience with stream-processing systems: Spark-Streaming, Strom etc. ·         Experience with object-oriented/object function scripting languages: Python, Scala etc ·         Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data ·         Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs. Experience with data science and machine learning tools and technologies is a plus ·         Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. ·         Experience with Azure cloud services is a plus ·         Financial Services Knowledge is a plus

Position – Engineering Manager Location – Bangalore/Mumbai/Remote   About Us upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc.   upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.   upGrad was awarded the Best Tech for Education by IAMAI for 2018-19 upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-after startups in India upGrad was earlier selected as one of the top ten most innovativecompanies in India by FastCompany. We were also coveredby the Financial Times along with other disruptors in Ed-Tech upGrad is the official education partnerfor Government of India - Startup India program  Our program with IIIT B has been ranked #1 programin the country in the domain of Artificial Intelligence and Machine Learning    About the Role A highly motivated and passionate individual who has experience in executing end to end web based products and applications; bringing them to production quickly and with high quality. Passionate about building flexible and scalable solutions with an eye for detail and can weigh pros and cons to find best possible solutions.   Role and Responsibilities   Collaborate with Product Managers to plan, implement and deliver tasks and modules on a timely basis with best practices and adherence to SOPs. Understand the product requirements, ask questions, and gather information and feedback to design and deliver scalable and flexible systems. Deliver end to end applications from front end web development, back end development, middleware integration and persisting data in no SQL or RDBMS databases. Play the role of an unblocker in a tight scrum environment. Should be able to help other developers with challenges, problem solving, and help achieve milestones as per plan. Build a highly skilled and efficient team by hiring, keeping the team motivated, and managing performance. Build a culture of agile development, continuous improvement, and a strong sense of product ownership Drive a culture of high quality at all stages by leveraging CI/CD and automation. Identify architectural issues and plans to resolve them. Proactively identify risks and define mitigations plans. Prioritize to manage ad-hoc requests in parallel with ongoing projects. Hands on with programming with 25%+ of bandwidth going into coding activities owned.     Skills/Experience A highly talented developer with 10+ years of hands-on experience in building secure and scalable web based applications using Java in backend and JS based frontend frameworks. Demonstrated experience managing teams of 5-10 or more engineers in product or online teams. Strong knowledge of Java 8+, databases (SQL and NoSQL) , MySql, Mongo, Experience working with Cassandra, Spring Boot, Apache Spark, Kafka, RabbitMQ is highly desirable Working knowledge of any one or more of AngularJS/ReactJS/VueJS and CSS3, HTML5. Strong experience in data modelling for data storage tools in SQL; experience with noSQL is highly desirable. Experience building scalable solutions for 2x, 5x and 10x growth with high quality and flexibility. Practitioner of test driven development practices. Experience in creating and adhering to best practices for development. Experience working with container technologies like Docker and knowledge of CI/CD processes for automated integration and deployment. Basic knowledge of AWS preferred. Strong experience in Microservices (SRP) paradigm. Willing to learn new technologies (Golang)       Qualification – B.Tech/M.Tech/MCA(IT/Computer Science) Years of Exp – 10+

Job Description We are looking for a Data Engineer that will be responsible for collecting, storing, processing, and analyzing huge sets of data that is coming from different sources. Responsibilities Working with Big Data tools and frameworks to provide requested capabilities Identify development needs in order to improve and streamline operations Develop and manage BI solutions Implementing ETL process and Data Warehousing Monitoring performance and managing infrastructure Skills Proficient understanding of distributed computing principles Proficiency with Hadoop and Spark Experience with building stream-processing systems, using solutions such as Kafka and Spark-Streaming Good knowledge of Data querying tools SQL and Hive Knowledge of various ETL techniques and frameworks Experience with Python/Java/Scala (at least one) Experience with cloud services such as AWS or GCP Experience with NoSQL databases, such as DynamoDB,MongoDB will be an advantage Excellent written and verbal communication skills

Products@DataWeave: We, the Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help businesses take data driven decisions everyday. We also give them insights for long term strategy. We are focused on creating value for our customers and help them succeed. How we work It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale! Read more on Become a DataWeaver What do we offer? - Opportunity to work on some of the most compelling data products that we are building for online retailers and brands. - Ability to see the impact of your work and the value you are adding to our customers almost immediately. - Opportunity to work on a variety of challenging problems and technologies to figure out what really excites you. - A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours. - Learning opportunities with courses, trainings, and tech conferences. Mentorship from seniors in the team. - Last but not the least, competitive salary packages and fast paced growth opportunities. Roles and Responsibilities: ● Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics functionality ● Build robust RESTful APIs that serve data and insights to DataWeave and other products ● Design user interaction workflows on our products and integrating them with data APIs ● Help stabilize and scale our existing systems. Help design the next generation systems. ● Scale our back end data and analytics pipeline to handle increasingly large amounts of data. ● Work closely with the Head of Products and UX designers to understand the product vision and design philosophy ● Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and interns. ● Constantly think scale, think automation. Measure everything. Optimize proactively. ● Be a tech thought leader. Add passion and vibrancy to the team. Push the envelope. Skills and Requirements: ● 5-7 years of experience building and scaling APIs and web applications. ● Experience building and managing large scale data/analytics systems. ● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices. ● Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python. ● Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on. ● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’. ● Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic. ● Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ. ● Use the command line like a pro. Be proficient in Git and other essential software development tools. ● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus. ● Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc. ● Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies. ● Working knowledge linux server administration as well as the AWS ecosystem is desirable. ● It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.

What will you do? You will be responsible for the design and development of large-scale, multi-tenant, distributed systems using scalable, fault-tolerant architecture with distributed queues (kafka), distributed caches (redis), high volume data stores (MongoDB, Cassandra, elasticsearch), container-centric deployments (kubernetes). Write Java codes using best practices with high quality standards. Participate in code reviews and deep dive into design discussions.

Can you please directly apply here: locale.freshteam.com/jobs What would you spend most of your time doing?As a software engineer at an early stage startup, you will be responsible for laying the foundation of all engineering systems. Your day might begin with designing a new micro-service supposed to handle 500 million pings on its first day in production and end with fierce debates on coding guidelines or the best practices for handling data consistency across distributed systems.Being an enterprise-focused company, our systems don't scale linearly or even exponentially. Every new customer brings the scale of millions of customers that they serve. We need to build robust, scale-ready and fault-tolerant services from day one. Our clients rely on it.Best for someone who is:1. A polyglot, fluent in system design principles and not in a particular language or framework. It will be your responsibility to evaluate all available options and pick the best one for the job.2. Passionate to move fast without breaking things and insists on rigorous testing.3. Excited to own the outcome of what (s)he builds while clearly communicating the steps to get there.If you are looking to spend your 20s learning how to build a company from scratch, if building systems at scale excites you, if you are mesmerized by what the world of location can offer or if you are passionate about zero-to-one, we will see you on the other side? :)

About the role:As an Engineering Manager, your role would involve architecting systems capable of serving as the brains of complex distributed products. In addition, you’d also closely Managing engineers on the team and contribute to team building.A strong technologist at Meesho cares about code modularity, scalability, re-usability and thrives in a complex and ambiguous environment. Required skill & Experience: Bachelors / Masters in Computer Science or equivalent from a premier institute with at least 8+ years over all professional experience. At-least 2+ years experience in managing/leading software development teams. Create clear career paths for team members and help them grow with regular & deep mentoring. Perform regular performance evaluation and share and seek feedback. Able to drive sprints and OKRs. Exceptional team managing skills; experience in building large scale distributed systems Experience in Scalable Systems - transactional systems (B2C) Expertise in Java/J2EE and multithreading Deep understanding of transactional and NoSQL DBs Deep understanding of Messaging systems - kafka Good experience on cloud infrastructure - AWS preferably Good to have: Data pipelines, ES Ability to think and analyze both breadth-wise and depth-wise while designing and implementing services Excellent teamwork skills, flexibility, and ability to handle multiple tasks.

Design and development of the Supply chain applications for the retail customers, making use of the open source technologies. It can be taking our own product and customizing as per the customer requirements or developing applications from the scratch.

- 3+ years of experience in building complex, highly scalable, high volume, low latency Enterprise applications using languages such as Java, NodeJS, Go and/or Scala - Strong experience in building microservices using technologies like Spring Boot, Spring Cloud, Netflix OSS, Zuul - Deep understanding on microservices design patterns, service registry and discovery, externalization of configurations - Experience in message streaming and processing technologies such as Kafka, Spark, Storm, gRPC or other equivalent technologies - Experience with one or more reactive microservice tools and techniques such as Akka, Vert.x, ReactiveX - Strong experience in creation, management and consumption of REST APIs leveraging Swagger, Postman, API Gateways (such as MuleSoft, Apigee) etc; - Strong knowledge in data modelling, querying, performance tuning of any big-data stores (MongoDB, Elasticsearch, Redis etc;) and /or any RDBMS (Oracle, PostgreSQL, MySQL etc;) - Experience working with Agile / Scrum based teams that utilizes Continuous Integration/Continuous Delivery processes using Git, Maven, Jenkins etc; - Experience in Containers (Docker/Kubernetes) based deployment and management - Experience in using AWS/GCP/Azure based cloud infrastructure - Knowledge in test Driven Development and test automation skills with Junit/TestNG - Knowledge in security frameworks, concepts and technologies like Spring Security, OAuth2, SAML, SSO, Identity and Access Management

Key skill set : Apache NiFi, Kafka Connect (Confluent), Sqoop, Kylo, Spark, Druid, Presto, RESTful services, Lambda / Kappa architectures Responsibilities : - Build a scalable, reliable, operable and performant big data platform for both streaming and batch analytics - Design and implement data aggregation, cleansing and transformation layers Skills : - Around 4+ years of hands-on experience designing and operating large data platforms - Experience in Big data Ingestion, Transformation and stream/batch processing technologies using Apache NiFi, Apache Kafka, Kafka Connect (Confluent), Sqoop, Spark, Storm, Hive etc; - Experience in designing and building streaming data platforms in Lambda, Kappa architectures - Should have working experience in one of NoSQL, OLAP data stores like Druid, Cassandra, Elasticsearch, Pinot etc; - Experience in one of data warehousing tools like RedShift, BigQuery, Azure SQL Data Warehouse - Exposure to other Data Ingestion, Data Lake and querying frameworks like Marmaray, Kylo, Drill, Presto - Experience in designing and consuming microservices - Exposure to security and governance tools like Apache Ranger, Apache Atlas - Any contributions to open source projects a plus - Experience in performance benchmarks will be a plus

Hands-on programming and technical design skills with a passion for learning new technologies Experience of building highly scalable, robust, and fault-tolerant services 3+ years of experience of designing and developing software systems or services Good understanding of REST APIs and the web in general. Ability to build a feature from scratch & drive it to completion. Working experience with AWS Knowledge of designing microservices Knowledge of search platform like Elastic Search, Solr etc Knowledge of messaging technology such as Kafka or rabbitmq Startup experience is a strong plus Experience of Python is a strong plus Critical thinking is a plus.

Please apply if and only if you enjoy engineering, wish to write a lot of code, wish to do a lot of hands-on Python experimentation, already have in-depth knowledge of deep learning. This position is strictly for people having knowledge various Neural networks and can customize the neural network and not for people who have experience in downloading various AI/ML code.This position is not for freshers. We are looking for candidates with AI/ML/CV experience of at least 4 year in the industry.

Responsibilities  Work with the team to create backend services by translating application storyboards and use cases into functional applications  Design, build and maintain efficient, reusable, and reliable Python code  Ensure the best possible performance, quality, and responsiveness of the applications  Identify bottlenecks and bugs and devise solutions to these problems  Help maintain code quality, organization, and automatization Skills  Deep understanding of how RESTful APIs work  Familiar with various design and architectural patterns  Sound knowledge of Databases MongoDB is a must,  Work-experience in Python, with knowledge of Flask Framework.  Knowledge of user authentication and authorization between multiple systems, servers, and environments  Strong unit test and debugging skills Ability to communicate complex technical concepts to both technical and non-technical audiences  Experience with Queue based streaming systems like Kafka, Celery  Understanding of fundamental design principles behind a scalable application  Able to create database schemas that represent and support business processes  Proficient understanding of code versioning tools, such as Git We expect an entrepreneurial mindset, someone who is not afraid to take on new challenges every day and who considers the product as his own by taking complete ownership of it.

Systems EngineerAbout Intellicar Telematics Pvt LtdIntellicar Telematics Private Limited is a vehicular telematics organization founded in 2015 with the vision of connecting businesses and customers to their vehicles in a meaningful way. We provide vehicle owners with the ability to connect and diagnose vehicles remotely in real-time. Our team consists of individuals with an in-depth knowledge and understanding in automotive engineering, driver analytics and information technology. By leveraging our expertise in the automotive domain, we have created solutions to reduce operational and maintenance costs of large fleets, and ensure safety at all times.Solutions :- Enterprise Fleet Management, GPS Tracking- Remote engine diagnostics, Driver behavior & training- Technology Integration : GIS, GPS, GPRS, OBD, WEB, Accelerometer, RFID, On-board Storage.Intellicar's team of accomplished automotive Engineers, hardware manufacturers, Software Developers and Data Scientists have developed the best solutions to track vehicles and drivers, and ensure optimum performance, utilization and safety at all times.We cater to the needs of our clients across various industries such as: Self drive cars, Taxi cab rentals, Taxi cab aggregators, Logistics, Driver training, Bike Rentals, Construction, ecommerce, armored trucks, Manufacturing, dealership and more. Desired skills as a developer :- Education: BE/B.Tech in Computer Science or related field.- 4+ years of experience with scalable distributed systems applications and building scalable multi-threaded server applications.- Strong programming skills in Java or Scala on Linux or a Unix based OS.- Understanding of distributed systems like Hadoop, Spark, Cassandra, Kafka.- Good understanding of HTTP, SQL, Database internals.- Good understanding of Internet and how it works- Create new features from scratch, enhance existing features and optimize existing functionality, from conception and design through testing and deployment.- Work on projects that make our network more stable, faster, and secure.- Work with our development QA and system QA teams to come up with regression tests that cover new changes to our software

Products@DataWeave: We, the Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help businesses take data driven decisions everyday. We also give them insights for long term strategy. We are focused on creating value for our customers and help them succeed. How we work It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale! Read more on Become a DataWeaver What do we offer? - Opportunity to work on some of the most compelling data products that we are building for online retailers and brands. - Ability to see the impact of your work and the value you are adding to our customers almost immediately. - Opportunity to work on a variety of challenging problems and technologies to figure out what really excites you. - A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours. - Learning opportunities with courses, trainings, and tech conferences. Mentorship from seniors in the team. - Last but not the least, competitive salary packages and fast paced growth opportunities. Roles and Responsibilities: ● Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics functionality ● Build robust RESTful APIs that serve data and insights to DataWeave and other products ● Design user interaction workflows on our products and integrating them with data APIs ● Help stabilize and scale our existing systems. Help design the next generation systems. ● Scale our back end data and analytics pipeline to handle increasingly large amounts of data. ● Work closely with the Head of Products and UX designers to understand the product vision and design philosophy ● Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and interns. ● Constantly think scale, think automation. Measure everything. Optimize proactively. ● Be a tech thought leader. Add passion and vibrancy to the team. Push the envelope. Skills and Requirements: ● 5-7 years of experience building and scaling APIs and web applications. ● Experience building and managing large scale data/analytics systems. ● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices. ● Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python. ● Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on. ● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’. ● Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic. ● Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ. ● Use the command line like a pro. Be proficient in Git and other essential software development tools. ● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus. ● Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc. ● Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies. ● Working knowledge linux server administration as well as the AWS ecosystem is desirable. ● It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.