Abhishek D Malwankar

• Led SRE and DevOps strategy for corporate data platforms, improving system reliability, scalability, and operational efficiency across mission-critical workloads
• Architected and operated cloud-native infrastructure on AWS using Terraform (IaC), ensuring high availability, fault tolerance, and repeatable environment provisioning
• Built and optimized secure CI/CD pipelines, enabling consistent, automated deployments and reducing release risk across multiple environments
• Established end-to-end observability (metrics, logs, traces) using CloudWatch and OpenTelemetry, significantly improving system visibility and reducing MTTR
• Drove incident management and RCA practices, implementing structured postmortems and remediation strategies to reduce recurring production issues
• Implemented automation at scale, eliminating operational toil and improving engineering productivity across deployment, monitoring, and remediation workflows
• Partnered with engineering teams to embed SRE principles into SDLC, improving application resilience, performance, and production readiness
• Led chaos engineering initiatives, proactively identifying failure points and strengthening system resiliency for distributed cloud applications
• Evaluated and integrated modern DevOps tooling and architectures (Kubernetes/EKS, Docker, serverless), optimizing for scalability, reliability, and cost efficiency
• Influenced architecture and platform decisions to align with security, compliance, and high-availability standards expected in financial systems
• Mentored engineers and led SRE/DevOps communities of practice, driving adoption of reliability engineering, automation, and cloud best practices
• Collaborated with stakeholders and vendors to assess and implement strategic technology solutions, ensuring alignment with enterprise architecture

Agentic AI & Intelligent Automation

• Designed and continue to build Agentic AI-driven solutions to autonomously detect, diagnose, and remediate operational issues, reducing manual intervention and accelerating incident response
• Leveraged AI agents to automate runbooks, anomaly detection, and operational decision-making, significantly improving system efficiency and reducing MTTR
• Integrated AI-driven workflows into DevOps and SRE practices to enhance productivity, minimize toil, and enable self-healing systems at scale

• Implemented and adopted cloud technologies and best practices for automation using infrastructure as code (IAC) in Terraform, configuration for JAVA code open telemetry (OTEL), Kubernetes (EKS) and ECS Fargate, monitoring dashboard and metrics in AWS CloudWatch for platform scalability.
• Improved DevOps across deployment and testing strategies and application monitoring.
• Designed, coded, tested, debugged and documented programs using agile development practices.
• Helped manage application's technology platform status, project pipeline and development priorities.
• Tested methodology with designing, authoring, and execution of functional tests, for regression testing with Cypress.
• Participated in architecture, design and implementation of back-end features using JAVA.
• Authored Python code for parsing and uploading data for application.
• Promoted experience with Kubernetes, Docker and Amazon Web Services.
• Provided guidance and mentored less-experienced staff members.
• Contributed ideas and suggestions in team meetings and delivered updates on deadlines, designs, and enhancements.
• Built databases and table structures for web applications for RDS Aurora PostgreSQL Database in AWS.
• Authored code fixes and enhancements for application and infrastructure code for inclusion in future code releases and patches to improve application performance.
• Facilitated and led deployments of new software, feature updates and fixes from development to production.
• Tested and deployed scalable and highly available software products.
• Documented software development methodologies in technical manuals and run books to be used by IT personnel in future projects.
• Estimated work hours and tracked progress using Scrum methodology in JIRA. Facilitated Back Log grooming and sprint planning for project.
• Created proofs of concept for innovative new solutions. Rapidly prototyped new data processing capabilities to confirm integration feasibility into existing systems.
• Demonstrated new product features and functionality to project stakeholders.
• Produced and maintained technical documentation for project reference.
• Suggested process and technical design changes to improve performance and efficiency.
• Collaborated with cross-functional teams for identification and resolution of validation issues.
• Proposed development and testing improvements to positively impact usability, function, and performance.
• Facilitated and co-led Chaos Engineering sessions across several teams located across different locations within organization to promote and test application scalability and reliability for applications hosted on public cloud.
• Led and facilitated CloudWatch office hours to assist teams across org to improve their application Observability for applications hosted in AWS.

As part of this role current project focuses on modernizing JAVA based client application to Python leveraging public and private cloud infrastructure for ETL, and Analytics for high scalability and availability.

• Collaborate with development team to design and build modularized cloud pipeline using Terraform based on organizational architecture standards.
• Partner with development team on product development, application and prototype programs.
• Analyze existing code base and application flow for project execution planning.
• Communicate technical development stages and provide design support and updates to businesses team and stakeholders.
• Revise, modularize and update old code base to modern development standards, reducing operating costs to improve functionality.
• Work with software development team members to design and develop robust solutions to meet client requirements for functionality, scalability and performance.
• Develop schedule job routines and test cases for programs.

In this role, I led to drive improvement to the flow of software, starting with the build, through QA, and to deployment so that the team can plan, execute projects in a consistent and predictable manner to get products to market quickly. Managed the DevOps strategy for the whole software engineering organization.

Key activities:

• Continuously improve the build and deployment times for software applications.
• Define and standardize the CI/CD processes for both cloud and edge (IIOT) for continuous improvement and scalability.
• Interface with the Infrastructure and Development teams to drive continuous improvements in automating environment provisioning and software product packaging.
• Establish and improve infrastructures such as build servers, virtual environments for development and QA, and consistently achieve performance KPI goals.
• Provide support infrastructure in place to support global development and QA team needs.
• Lead the organization's efforts to define and continuously improve the team's software development infrastructure, with the expected outcome of improving the team's ability to plan and deliver on its goals.
• Develop Strategy and plan the execution of automated Software deployments and deploying new upgrades, and fixes to production.
• Implement containerization technology strategies using Docker (IIOT) and Kubernetes (cloud).
• Build and setup new development tools, infrastructure, and technologies.
• Select, build and deploy appropriate CI/CD tools to automate and improve development and release processes.
• Establish build and deployment of various software products built by the various application and platform teams.
• Interface with the Infrastructure team to streamline the processes and establish ownership of various tasks.
• Lead and actively participate in developing the right behaviors, culture, and leadership within the organization.
• Ensure the successful integration of code to be built and deployed for production releases.
• Establish and achieve KPI for software delivery.
• Set cadence for improvement planning and execution.

• Improve the testing process by developing and maintaining of automated software testing framework and implementing processes for continuous integration, continuous testing, and continuous delivery (CI/CT/CD) using SAFe Agile and DevOps.
• Setting up and configuring integrated environments on Edge platform for UAT, field testing, field demo and Customer deployment.
• Create new Continuous Integration, Continuous Testing, Continuous Deployment pipelines in Jenkins and GitHub for Docker based microservices.
• Writing python or bash scripts for simple unified environment orchestration for Developers, QA, and Field Engineering.
• Modify and create new pipeline scripts and add/edit Helm Charts for service deployment in Kubernetes cluster.
• Working extensively with Debian, Ubuntu and some CentOS Linux machine for setting up CI/CD agents and testing IIOT devices.
• Lead strategic planning and execution of Regression and Final Acceptance Test cycles for products.
• Collaborate with Developers, and Architects, to understand the design intent behind software features, and bug fixes, to efficiently design and execute test scenarios based on product and industry knowledge.
• Be the bridge between the business and the product team.
• Analyze test results and document defects to help Product Development Teams to identify complex product issues.
• Develop test software and scripts, in various coding languages, to test customer-facing API libraries and SDKs.
• Work cross-department and collaborate with diverse teams to systematically solve problems and improve the overall effectiveness of business.
• Develop test software and scripts, in various coding languages, including JAVA, C++, C#, Python and GoLang to test customer-facing API libraries and SDKs.

• Developed Mobile application for iOS and Android using Xamarin framework, using Agile methodology.
• Implemented solution features in Azure and Orleans micro-service framework for application.
• Collaborated with product line management to design new features, optimize application workflow and elevate the client-side experience.
• Analyzed crash reports and logs to provide continued maintenance and apply bug fixes for applications.
• Wrote test cases so that application could be tested in a legitimate environment.
• Perform regression and system-level testing to verify software quality before release.
• Reviewed requirements, specifications, and technical design documents to provide timely and meaningful feedback.
• Facilitated system customization by encouraging the team to adopt emerging standards for development architecture and tools.
• Introduced methodologies and best practices that enhanced product definition for the end-users.

• Designed, developed and tested system to fix production issues, using Agile Scrum methodology.
• Worked with customers and operators for requirements gathering including operational and functional details for new feature development.
• Assisted technical support team to solve software related control system issues; and train technical support staff on new control system software.
• Simulated full Frack fleet to create test environment with virtual machines and custom hardware.
• Participated in software development team on-call rotation.

• Modernized legacy mainframe COBOL applications to C# .Net.
• Used scenario-based testing approach for modernized applications and fix bugs.
• Obtained documents, clearances, certificates, and approvals from local, state, and federal agencies.
• Provided continued maintenance and development of bug fixes and patch sets for existing applications.
• Worked directly with vendor and client-liaison to verify software output and data accuracy

• Developed and maintained enterprise C#/C++ client application, using Agile methodology.
• Added software features to meet Product line specifications.
• Analyzed crash dumps and logs to find and fix production bugs.
• Documented and implemented unit tests. Maintained technical documentation for the product.
• Setup continuous integration (CI) in Bamboo.

• Developed mobile applications for clients, using native, Web, and/or hybrid technology like AngularJS.
• Gathered requirements and estimated completion for different software deliverables.
• Performed regression tests on applications for weekly code demonstration and held status meetings to provide development updates.
• Performed use case testing and scenario based testing to asses software quality.
• Performed user acceptance testing for completed client application before code hand-off.

• Developed web-based self-service tools and portals for software developers and users in the organization, using Scrum agile software methodology, as part of a Co-op program.
• Developed native Blackberry 10 OS mobile applications using the cascade framework.
• Troubleshot and added more features to the existing web-based tools and portals.
• Actively performed code reviews for the team and provided constructive feedback.
• Provided expert level 1 and 2 support to developers for tools like Perforce, Rally, and JIRA and other in-house tools.

• Managed a Canada wide project for Validation Study of Statistical Climate Model in Canada with minimum supervision, as part of a Co-op program.
• Co-developed R (statistical language) based Multivariate, Multi-site, Statistical down-scaling application to downscale Global Climate Model data to a finer local resolution.
• Designed and wrote Perl scripts and applications used for extraction and compilation of climate variable information for geographic coordinates of interest.