Platform Engineer ( Cloud/DevOps)

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

Skills:

Cloud and DevOps Expertise: proficiency in managing multi- cloud

environments, particularly AWS , with a strong focus on DevOps principles,

CI/CD automation, and infrastructure as code (IaC).

Web3 and Blockchain Deployment

Security and Incident Management

Threat Intelligence and Security Frameworks: Experience in setting up AWS-based

MISP threat intelligence platforms, deploying security agents, and utilizing SIEM

technologies like Splunk and Sentinel for security threat detection and incident

response.

Automation and Integration: Expert in scripting and programming, creating secure

data and application integrations using REST APIs, and automating system

integration tasks across various platforms.

CI/ CD and Infrastructure Automation: Extensive experience developing and

maintaining automated CI/ CD pipelines using Bamboo, Jenkins, and Ansible.

Proficient in using configuration management tools and creating deployment

frameworks in GCP and AWS.

Data Analytics and Visualizations: Skilled in ingesting, processing, and visualizing

data from diverse sources to create actionable security dashboards, leveraging

Python and Splunk for analytics and reporting.

Platform Architecture and Development: Developed platform architectures using

tools like Packer and Terraform for AMI creation and infrastructure provisioning,

ensuring robust backup, disaster recovery, and security protocols.

Problem Solving and Analytical Skills: Strong analytical skills demonstrated

through developing machine learning models, addressing engineering issues, and

creating multifaceted security solutions.

Continuous Improvement and Quality Assurance: Committed to code quality

assurance, applying industry best practices in testing, multithreading, and

modularizing code, with continuous improvements in cybersecurity operations

through innovation and automation.