DevOps Engineer for FinTech Cloud Platforms

Joseph Adarsh Kancherla

******@***********.*** +1-571-***-**** Virginia, USA LinkedIn

Summary

DevOps Engineer with 3+ years of experience building secure, scalable cloud platforms for fintech workloads. Specialized in AWS, Azure, Jenkins, Docker, Kubernetes, and Terraform to deliver automated CI/CD pipelines, infrastructure as code, and reliable releases. Proven impact improving deployment velocity, strengthening observability, and optimizing cloud costs in regulated environments. Strong foundation in platform engineering, SRE practices, and production monitoring, enabling resilient transaction systems, compliance-ready operations, and stable performance under variable financial workloads across distributed cloud-native ecosystems at enterprise scale globally. Skills

Programming, Automation & Platform Engineering: Python, Go, Bash, PowerShell, JavaScript, SQL, YAML, JSON, REST API automation, system automation, cross-platform scripting, configuration templating, CI/CD scripting, infrastructure automation, reusable automation frameworks

Cloud Platforms, Networking & Secure Infrastructure: AWS, Azure, Google Cloud Platform, EC2, VPC, IAM, S3, EKS, ECS, Azure AKS, Azure DevOps, cloud networking, load balancing, auto scaling, high availability architectures, fault tolerance, cloud security controls, secure networking design

CI/CD, Release Engineering & DevSecOps: Jenkins, GitHub Actions, GitLab CI, Azure Pipelines, Argo CD, CI/CD pipeline design, build automation, release orchestration, artifact management, branching strategies, pipeline optimization, secure pipelines, policy as code, secrets management integration

Containers, Kubernetes & Infrastructure as Code: Docker, Kubernetes, Helm, Terraform, CloudFormation, Pulumi, container orchestration, Kubernetes networking, service mesh concepts, secrets management, immutable infrastructure, infrastructure provisioning, environment standardization, GitOps workflows Observability, Security, SRE & Operational Excellence: Prometheus, Grafana, ELK Stack, Splunk, Datadog, SRE practices, incident response, distributed tracing, log aggregation, vulnerability scanning, RBAC enforcement, disaster recovery, backup strategies, SLA/SLO management, cost optimization, performance tuning, on-call rotations, continuous improvement Professional Experience

DevOps Engineer, PwC Jan 2025 – Present Remote, USA

• Architected AWS-based CI/CD pipelines using Jenkins for a fintech risk analytics platform, compressing release timelines from 9 days to 4 days across regulated client environments.

• Automated Docker image creation, tagging, and registry promotion within Jenkins’s workflows, reducing deployment inconsistencies and lowering post-release defect occurrences by 21% in transaction monitoring services.

• Provisioned scalable AWS infrastructure using Terraform modules, standardizing 16 environments and improving provisioning reliability while supporting high-volume financial data processing workloads.

• Integrated CloudWatch metrics and Prometheus alerts to strengthen observability, decreasing incident diagnosis time by 33% during peak settlement and reconciliation processing windows.

• Embedded security scanning and secrets handling into CI/CD pipelines, strengthening compliance adherence while supporting audit-ready delivery across multiple fintech consulting engagements.

• Tuned AWS auto scaling and container resource limits, improving application stability under variable transaction loads while maintaining predictable performance during quarterly reporting cycles. DevOps Engineer, TCS Jan 2021 – Jul 2023 AP, India

• Automated CI pipelines using GitLab CI for a core banking modernization program, accelerating release frequency from monthly deployments to consistent biweekly delivery cycles across distributed finance applications.

• Deployed Azure infrastructure through ARM templates, enabling repeatable provisioning for 14 banking environments while reducing configuration drift across loan origination and credit processing systems.

• Containerized monolithic financial applications using Docker and deployed workloads to AKS, improving compute utilization and lowering infrastructure expenditure by 18% annually for transaction-heavy services.

• Implemented centralized monitoring using Grafana and Azure Monitor, enhancing transaction visibility and reducing incident response duration by 27% during high-volume payment settlement periods.

• Integrated automated testing and approval gates within CI workflows, preventing unstable builds from entering production while improving release confidence in regulated banking environments.

• Standardized deployment and rollback procedures across development teams, supporting stable delivery pipelines for digital payments and account reconciliation platforms.

• Automated environment configuration using PowerShell and Bash scripts, reducing manual provisioning effort by 35% while improving consistency across development, testing, and staging banking environments.

• Supported production incident resolution by analyzing deployment logs and pipeline metrics, contributing to improved system stability during peak transaction windows across customer-facing financial platforms. Certifications

• AWS Solutions Architect (Associate)

Education

Master of Science in Information Systems, George Mason University Aug 2023 – May 2025 VA, USA Bachelors of Engineering, RVR & JC College of Engineering Jun 2018 – May 2022 Andhra Pradesh, India

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