Join Our Team



We are seeking a highly skilled and experienced Site Reliability Engineer to join our team. The ideal candidate will be responsible for ensuring the reliability, availability, and performance of our systems and applications. As a Site Reliability Engineer, you will collaborate closely with development teams to enhance the reliability of our services and streamline release procedures. Additionally, you will play a key role in system design consulting, platform management, and capacity planning.


  • Gather and analyze metrics from operating systems and critical application services to facilitate quick identification of issues and faults.
  • Partner with development teams to improve the reliability of application services and optimize release procedures.
  • Participate in system design consulting, platform management, and capacity planning activities.
  • Maintain a balance between feature development and reliability while adhering to well-defined service level objectives.
  • Maintain complete control and understanding over production environments to expedite issue identification and mitigation.
  • Define Service Level Agreements (SLA), Service Level Objectives (SLO), and Service Level Indicators (SLI) aligned with organizational requirements.
  • Administer Linux Servers (Ubuntu & Amazon Linux) effectively.
  • Demonstrate expertise in incident management, on-call processes, and Software Development Life Cycle (SDLC).
  • Maintain and update internal knowledge base efficiently.
  • Reduce toil using multiple scripting languages such as Terraform, Bash, and Python.
  • Demonstrate familiarity with web servers including Apache, Nginx, Tomcat, and HAproxy.
  • Administer AWS & Azure cloud service providers, including but not limited to EC2, RDS, S3, ECS, SNS, SES, CloudWatch, CDN, WAF, CloudFront, CloudTrail, R53, VPC, Routing, API Gateway, Lambda, IAM Roles, SG, Elastic Cache, Memcached, DynamoDB, CodeDeploy, CodeBuild, and serverless technologies.
  • Implement and manage container schedulers & orchestration systems such as Kubernetes, Docker Swarm, OpenShift, or AWS EKS/ECS.
  • Implement and maintain Monitoring & Observability platforms including Elastic stack, Grafana, Prometheus, Graphite, and APM tools such as New Relic, AppDynamics, or Dynatrace.
  • Assess impact, devise release strategies, manage deployments, and handle incidents and changes effectively.
  • Demonstrate excellent written and verbal communication skills, with the ability to collaborate with multiple teams and stakeholders.

Qualification, Experience, Competence:

  • Bachelor’s degree in Computer Science or a related STEM field, with a preference for candidates with majors in Mathematics.
  • Minimum of 4 years of experience in Site Reliability Engineering, demonstrating strong hands-on proficiency in the listed technologies within the responsibilities section.
  • Certification in any of the relevant technologies is highly desirable. We value candidates who can demonstrate their certifications along with their detail-oriented problem-solving skills and deep knowledge of the products.
  • Strong understanding of Microservice architecture and patterns.
  • Understanding of Observability enablement for various application stacks.
  • Knowledge of Relational Database Management Systems (RDMS) and NoSQL observability, high availability, and scalability.
  • Experience with Infrastructure as Code (IaC) tools for automated provisioning on cloud and on-premises environments using Terraform, Pulumi, or CloudFormation.
  • Proficiency in tools such as Jira and Confluence for effective project management and documentation.

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  • Monitor and maintain network systems, servers, and infrastructure to ensure uninterrupted network services.
  • Respond promptly to network alerts and incidents during 24/7 shifts to minimize downtime and service disruptions.
  • Troubleshoot and resolve network issues, escalating complex problems to senior engineers or management when necessary.
  • Conduct routine system checks and performance monitoring to identify potential issues before they affect network operations.
  • Document all incidents, activities, and resolutions in a clear and concise manner for reference and reporting.
  • Collaborate with cross-functional teams, including network administrators and system engineers, to address network-related problems.
  • Execute scheduled maintenance tasks and updates during off-peak hours to minimize user impact.
  • Provide technical support to end-users and assist with network-related inquiries or problems.
  • Follow established procedures and protocols for incident management and escalation.
  • Adhere to security best practices and ensure network systems are secure and compliant with company policies.
  • Maintain a high level of awareness and attentiveness during night shifts to respond to critical incidents promptly.
  • Participate in ongoing training and skill development to stay updated on network technologies and continuously improve NOC processes and procedures to enhance network reliability and efficiency.


  • Bachelor’s degree in a related field or equivalent work experience.
  • Previous experience in a NOC or IT support role, preferably involving 24/7 shift work.
  • Strong understanding of network protocols, technologies, and troubleshooting methods.
  • Proficiency in using network monitoring tools and incident management systems.
  • Excellent communication skills, both written and verbal.
  • Ability to work effectively independently and as part of a team.
  • Willingness to work night shifts and adhere to a 24/7 shift schedule.
  • Capacity to remain calm and focused during high-pressure situations.
  • Certifications such as CCNA or CompTIA Network+ are a plus.
  • Basic knowledge in different data center components such as CRAC units, Network equipment’s, containments, UPS etc is desirable.
  • Hands On experience working with any ITSM tool.

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Position Summary:

You are a storyteller, with a passion for sharing and/or creating these stories through video.

This role requires planning, creation, photography, Videography, and design as part of the Digital Marketing Team.

You will be responsible for the visual Identity and visual content creation, with a focus on photography and videography. Content Creator work closely with Video Editors, corporate communications, and marketing teams to develop, plan the shoot, edit, and distribute video via YouTube, Facebook, Twitter, Snapchat, mobile applications, and/or internal or external audiences.

Key Responsibilities:

  • Be creative and able to work with subject matter experts to turn ideas into compelling scripts that are shared through video.
  • Provide feedback to SME’s on project timelines, potential challenges, and suggestions and ideas to take a project idea from concept to completion.
  • Use a variety of technical skills and software to complete production, including Final Cut Pro X, Adobe Premiere, and Adobe After Effects
  • Possess strong writing and verbal communication skills.
  • Work in a team environment, with stakeholders from a wide variety of departments, including corporate communications, marketing, design, and social media.

Qualification, Experience, Competence and Certifications:

  • Candidates must possess all of their own equipment necessary for content creation.
  • Strong writing and drafting skills to create project roadmap, litepaper/whitepaper.
  • Experience in developing and implementing marketing strategies to promote blockchain products and services and drive sales and adoption.
  • Demonstrated skill in editing and delivering videos on tight schedules.
  • Proficiency in Adobe Creative Suite and Mac-based systems and software
  • Experience collaborating with internal and external teams and stakeholders.
  • Experience working with content management.
  • Filming video on set and on location, using professional equipment.
  • Filming includes one-on-one shots, panel discussions, events, and b-roll footage.
  • Master’s or bachelor’s degree in video production, photography, visual communication, journalism, new media
  • Knowledge of Virginia Tech or higher education setting
  • Experience leading, conceptualizing, shooting, and editing videos and photos.
  • Proficient in audio editing and color correction
  • Extraordinary attention to detail, grammar, and spelling Ability to take a project from concept to completion.
  • Keen sense of trending content and editing styles throughout digital media
  • Strong storytelling skills for both short and long-form formats
  • Knowledge of post-production techniques
  • Capable of delivering a high volume of content on tight deadlines
  • Comfortable working independently and collaborating with others.
  • Strong verbal and written communication skills for collaborating with stakeholders and team.
  • Excellent time management skills
  • A positive attitude and the ability to work calmly under pressure.
  • Proficiency in video/photo editing softwares.

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Responsibilities & Authorities:

Database Administration:

  • Install, configure, and administer MySQL, Cassandra, MongoDB, PostgreSQL, ElasticSearch, Redis, RabbitMQ & Kafka.
  • Design highly available, secure, and distributed database systems.
  • Implement security measures for database access, including RBAC tasks.
  • Govern database access for data categorization, retention policies, sharding, and data representation.
  • Implement disaster recovery processes, data harmonization, scrubbing, and build data pipelines.

Server Administration:

  • Install, configure, and administer Linux servers (Ubuntu & Redhat).

Security & Governance:

  • Provide security audits and capacity planning.
  • Set up alerts for pro-active monitoring of databases and resources.
  • Implement data encryptions, data masking, and scrambling.
  • Ensure data backup, recovery, security, integrity, SQL & stored procedures.

Cluster Management:

  • Deep understanding of cluster management, including node management, consistency tuning, replication, multi-DC configuration, and cluster recovery.
  • Familiarity with NAS capabilities, including WAFL file system, Snapshot backups, PIT restoration, and CIFS.

Data Management:

  • Sound knowledge of ETL, Data Modeling, building reports & dashboards with visualizations.
  • Expert administration of AWS RDS platform and designing a HA solution over it.
  • Address cloud data-in/out charges for cross-region communication and optimize architecture for cost savings.

Communication & Collaboration:

  • Demonstrate excellent written and verbal communication skills.
  • Work collaboratively with multiple teams and stakeholders.
  • Familiarity with Jira and Confluence or similar tools.


  • 8-10 years of hands-on experience in a DBA Administration role.
  • Proficiency in the following technologies: MySQL, Cassandra, MongoDB, PostgreSQL, ElasticSearch, Redis, RabbitMQ & Kafka.
  • Certification in any of the mentioned technologies is a definite plus.
  • Strong problem-solving skills with attention to detail.


  • Bachelor’s degree in any field, preferably with a background in Computer Science or a STEM graduate with majors in Mathematics.

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  • Build machine learning models solving business problems at a scale in an accurate fashion.
  • Prepare data required to feed machine learning models.
  • Assemble large, complex data sets from client and external sources that meet functional business requirements.
  • Ship models into production and follow-up with performances and take corrective actions if required.
  • Communicate machine learning outcome and clearly convey the added value to the business.
  • Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Breakdown complex problems into smaller pieces and plan accordingly to accurately make project timeline estimates.
  • Technical know-how: Our Data Scientists have a broad knowledge of a variety of data and mathematical solutions.
  • Work with management to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps
  • Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform.
  • Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
  • Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools
  • Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
  • Assist client to deploy models and algorithms within their own architecture


  • Must have hands-on experience in customer centric solutions production solutions analyzing customer behavior and /or physiological metrics.
  • Must have hands-on experience in building ML production systems making recommendation to end-users.
  • Must have video processing / facial recognition experience.
  • Proven ability to deploy machine learning models from the research environment to production via procedural or pipeline approaches.
  • Strong problem-solving skills; ability to pivot complex data to answer business questions.
  • Good communication and presentation skills.
  • Nice to have hands-on LLM and prompt engineering experience
  • Nice to have recommendation engine / Chatbots / Fraud detection
  • Nice to have experience in causal inference
  • Nice to have ability to visualize data for influencing (Qlik, PowerBI, Tableau)
  • Good appreciation for the Agile/Scrum methodology


  • MS degree in Computer science, Engineering, Applied Mathematics or a related quantitative field
  • 5+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning including time series forecasting, regression and classification, and video recognition
  • Experience with one or more Advanced Data Science software languages (Python, SQL, Spark)
  • Hands-on experience in Cloud technologies (AWS, Azure, GCP), preferably with Databricks and data lakes
  • Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases topologies

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