
Able to develop content in multiple formats and can differentiate among website content, SEO based content and understanding of keyword density, Meta tags, Keywords insertion.
Responsibilities and Duties
Good command over English
Ability to write fresh, unique, high quality and error-free content
Candidates who have written for websites and have exposure to SEO centric content writing would be preferred.
Knowledge of Keywords insertion & placement, sequencing, keyword density, etc preferred
Ability to research the internet and gather reliable data and information to use in content writing.

About Artistixe IT Solutions
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Location: Nairobi
The Infrastructure Engineer will be responsible for designing, implementing, and maintaining the
organization's infrastructure, including storage solutions, server hardware, bare metal deployments,
SAN switches, and container platforms like OpenShift or Kubernetes. The ideal candidate will
possess strong technical skills and a proven track record in managing and troubleshooting complex
infrastructure environments.
Key Responsibilities
- Storage Management: Design, implement, and manage storage solutions (SAN, NAS, etc.),
including storage allocation, provisioning, monitoring, and troubleshooting. Experience with specific
storage arrays (e.g., Dell EMC, NetApp, HPE) is a plus.
- Server Infrastructure: Manage and maintain server hardware, including physical servers,
virtualization platforms (VMware, Hyper-V), and bare metal deployments.
- Bare Metal Expertise: Experience with bare metal server deployment, configuration, and
management, including understanding of hardware components and their interaction.
- SAN Switch Management: Configure and manage SAN switches (Brocade, Cisco MDS), including
zoning, fabric management, and troubleshooting connectivity issues.
- Containerization (OpenShift/Kubernetes): Design, deploy, and manage OpenShift or Kubernetes
clusters, including application deployment, scaling, and troubleshooting.
- Infrastructure Automation: Develop and implement automation scripts and tools to streamline
infrastructure management tasks.
- Performance Monitoring and Optimization: Monitor infrastructure performance, identify
bottlenecks, and implement solutions to optimize performance.
- Troubleshooting: Diagnose and resolve complex infrastructure issues, collaborating with other
teams as needed.
- Documentation: Create and maintain accurate documentation for infrastructure configurations,
procedures, and troubleshooting steps.
- Security: Implement and maintain security best practices for infrastructure components.
Required Skills and Experience
- Strong understanding of storage technologies (SAN, NAS, etc.)
- Proficiency in server hardware and virtualization platforms.
- Experience with bare metal server deployments and management.
- Knowledge of SAN switches and fabric management.
- Experience with containerization platforms like OpenShift or Kubernetes.
- Proficiency in scripting languages (e.g., Python, Bash) for automation.
- Excellent troubleshooting and problem-solving skills.
- Strong communication and collaboration skills.
- Experience with performance monitoring and optimization tools.
- Familiarity with Linux operating systems.
Preferred Qualifications
- Experience with specific storage array vendors (Dell EMC, NetApp, HPE).
- Experience with specific server vendors (e.g., Dell, HP, Supermicro).
- Experience with specific SAN switch vendors (Brocade, Cisco MDS).
- Experience with cloud platforms (AWS, Azure, GCP).
- Relevant certifications (e.g., RHCE, VCP, MCSE).

C++ engineer - Responsible for writing market data feed handlers for various derivatives exchange. Worked on Exchange Protocols (FIX, SBE, OMNet, ITCH), Network Protcols, low latency programming.
Experience: 4+ years (full time experience)
Location: Pune (hybrid)
Location: Bangalore
Function: Software Engineering → Backend Development
We are looking for an extraordinary and dynamic Director of Engineering to be part of its Engineering team in Bangalore. You must have a good record of architecting scalable solutions, hiring and mentoring talented teams and working with product managers to build great products. You must be highly analytical and a good problem solver. You will be part of a highly energetic and innovative team that believes nothing is impossible with some creativity and hard work.
Responsibilities:
- Own the overall solution design and implementation for backend systems. This includes requirement analysis, scope discussion, design, architecture, implementation, delivery and resolving production issues related to engineering.
- Owner of the technology roadmap of our products from core back end engineering perspective.
- Ability to guide the team in debugging production issues and write best-of- the breed code.
- Drive engineering excellence (defects, productivity through automation, performance of products etc) through clearly defined metrics.
- Stay current with the latest tools, technology ideas and methodologies; share knowledge by clearly articulating results and ideas to key decision makers.
- Hiring, mentoring, and retaining a very talented team.
Requirements:
- 12 - 20 years of strong experience in product development.
- Strong experience in building data engineering (no SQL DBs, HDFS, Kafka, cassandra, Elasticsearch, Spark etc) intensive backend.
- Excellent track record of designing and delivering System architecture, implementation and deployment of successful solutions in a custome facing role
- Strong in problem solving and analytical skills.
- Ability to influence decision making through data and be metric driven.
- Strong understanding of non-functional requirements like security, test automation etc.
- Fluency in Java, Spring, Hibernate, J2EE, REST Services.
- Ability to hire, mentor and retain best-of-the-breed engineers.
- Exposure to Agile development methodologies.
- Ability to collaborate across teams and strong interpersonal skills.
- SAAS experience a plus.
Number Theory is looking for experienced software/data engineer who would be focused on owning and rearchitecting dynamic pricing engineering systems
Job Responsibilities:
Evaluate and recommend Big Data technology stack best suited for NT AI at scale Platform
and other products
Lead the team for defining proper Big Data Architecture Design.
Design and implement features on NT AI at scale platform using Spark and other Hadoop
Stack components.
Drive significant technology initiatives end to end and across multiple layers of architecture
Provides strong technical leadership in adopting and contributing to open source technologies related to Big Data across multiple engagements
Designing /architecting complex, highly available, distributed, failsafe compute systems dealing with considerable scalable amount of data
Identify and work upon incorporating Non-functional requirements into the solution (Performance, scalability, monitoring etc.)
Requirements:
A successful candidate with 8+ years of experience in the role of implementation of a highend software product.
Provides technical leadership in Big Data space (Spark and Hadoop Stack like Map/Reduc,
HDFS, Hive, HBase, Flume, Sqoop etc. NoSQL stores like Cassandra, HBase etc) across
Engagements and contributes to open-source Big Data technologies.
Rich hands on in Spark and worked on Spark at a larger scale.
Visualize and evangelize next generation infrastructure in Big Data space (Batch, Near
Real-time, Realtime technologies).
Passionate for continuous learning, experimenting, applying and contributing towards
cutting edge open-source technologies and software paradigms
Expert-level proficiency in Java and Scala.
Strong understanding and experience in distributed computing frameworks, particularly
Apache Hadoop2.0 (YARN; MR & HDFS) and associated technologies one or more of Hive,
Sqoop, Avro, Flume, Oozie, Zookeeper, etc.Hands-on experience with Apache Spark and its
components (Streaming, SQL, MLLib)
Operating knowledge of cloud computing platforms (AWS,Azure) –
Good to have:
Operating knowledge of different enterprise hadoop distribution (C) –
Good Knowledge of Design Patterns
Experience working within a Linux computing environment, and use of command line tools
including knowledge of shell/Python scripting for automating common tasks.
4-6 years of total experience in data warehousing and business intelligence
3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)
2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)
Strong experience building visually appealing UI/UX in Power BI
Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)
Experience building Power BI using large data in direct query mode
Expert SQL background (query building, stored procedure, optimizing performance)

Android
- Strong understanding of the OOPS concept.
- Working experience in Java and Kotlin language. (Must)
- Knowledge of Offline Sync, Multithreading, Realm/Room/SQLLite databases, Live data, Socket Programming. (Must)
- Familiar with Android Jetpack components (Must)
- Idea/Experience of MVC/MVVM and MVP
- At least 1 live application on Playstore. (Must)
- Good debugging and problem-solving skills.
Good to have
- Idea/experience in RxJava, RxKotlin
- Idea/experience of unit and instrumentation testing in Android
- Knowledge of Web RTC.
- Experience with tools like Git, Jira, Basecamp, BitBucket, Azure DevOps would be an advantage.
- Good to have experience working with IOT projects, Bluetooth technologies
- Active Open Source, GitHub or Stack Overflow contribution will be a big plus
- Having personal apps in play store will be an added advantage
- Working knowledge of the general mobile landscape, architectures, trends & emerging technologies.
What we look for in people
critical thinking, openness to unlearn and learn, collaborate seamlessly cross borders, enjoy working in a remote and fast paced environment, curious and passionate about solving customer problems, consensus driven decision making approach, persuasive communication and precision for details



b) Retrofit ( Restful APIs integration)
c) Must have experience of using SQLite .
d) Kotlin experience is a plus.



