Vivek S

Software Engineer

Krishna, Andhra Pradesh, India9 yrs 5 mos experience

Most Likely To Switch

Key Highlights

Expert in deployment automation and DevOps practices.
Proficient in Python and Bash scripting for engineering automation.
Contributed to cloud cost management and visibility.

Stackforce AI infers this person is a Cloud Operations Engineer with strong DevOps and automation expertise.

Contact

vivisabbi@gmail.com LinkedIn

Skills

Core Skills

DevopsCloud Operations

Other Skills

Backup SolutionsBashData AnalysisEngineeringGitHubJenkinsMicroservicesMicrosoft AzureMicrosoft OfficeProduct ManagementPython (Programming Language)Software Development Life Cycle (SDLC)Software IndustrySoftware as a Service (SaaS)User Experience (UX)

About

As a Software Engineer in Cloud Operations at Aquilaclouds, I work across deployment automation and DevOps. I design Jenkins pipelines, develop Python and Bash scripts for automation, and manage deployment strategies and backups for multi-tier architectures. My role is dynamic—supporting engineering needs from product deployment and testing automation to scripting for customer installations. I also contribute to AquilaClouds' FinOps platform, enabling effective cloud cost visibility and management. I'm constantly learning and have begun leveraging AI tools to improve productivity, streamline workflows, and enhance solution quality.

Experience

Aquila clouds

Software Engineer

Mar 2023 – Present · 3 yrs · Pune, Maharashtra, India · Hybrid

As a Software Engineer in Cloud Operations, I focus on deployment automation, DevOps practices, and optimizing cloud infrastructure. My key responsibilities include:
Designed and managed Jenkins pipelines.
Developed Python/Bash scripts for engineering automation.
Implemented and managed deployment strategies and backup mechanisms for multi-tier applications.
Conducted cloud cost analysis and invoice verification.
Contributed to AquilaClouds' FinOps/Cloud Cost Management platform.
Managed Azure Blob Storage for backup operations.

Software IndustryEngineeringDevOpsJenkinsPython (Programming Language)Bash+4

The faculty of engineering at lund university, lth

Researcher

Sep 2015 – Jul 2018 · 2 yrs 10 mos · Kalmar County, Sweden

Researcher on Multi-Core Processor platforms, Embedded systems, Scheduling

Leopold-franzens universität innsbruck

Researcher

Feb 2014 – Aug 2014 · 6 mos · Austria

Machine learning for prediction of the resource consumption and recommendation in cloud
Research on security aspects in cloud services
Monitor cloud resource utilization and take measure to reduce cost

Airbus group inc.

Researcher

Sep 2012 – Jul 2013 · 10 mos · Greater Munich Metropolitan Area

Participated in pan-European EU commission project EPICS in the area of Machine-Intelligence in Fault-Tolerant safety critical avionic systems
Followed Defence SW developemt standards SDLC, RTCA DO-183 , DO-174 for safety critical systems

Barcelona supercomputing center

Researcher

Aug 2010 – Dec 2011 · 1 yr 4 mos · Greater Barcelona Metropolitan Area

Project member on NGMP(Next Generation Micro Processor) in Co-ordination with ESA(European Space Agency).
Worked on designing 7-Stage out-of-order pipeline CPU
WCET analysis in Multi-core, Multi-core scheduling, Network-on-chip

Lambert instruments

Software Developer

Oct 2009 – Mar 2010 · 5 mos · Greater Groningen Area

I have developed a tool with java swings and communicated devices with COM/ActiveX. I have developed software to process the images which comes from florescence-imaging microscopy. This is a spectrum imaging to analyze the properties of the tissues and other samples. Each pixel has a certain value depend upon the chemical composition in that molecule.
I learned what is photon multiplier and applications of spectrum imaging

Imec

Research Scholar

Jun 2008 – Dec 2008 · 6 mos · Brussels Metropolitan Area

Project: Architecture exploration of ADRES processor/optimization
Experience: Explored the architecture of dynamically reconfigurable parallel processor (ADRES) as part of FlexWare European project for a massively parallel process application that runs Smith-Waterman algorithm.
My work focused on optimizing hardware resources using SIMD (Single Instruction Multiple Data) type
instructions in order to optimize the algorithm and to generate efficient optimized architecture.
Developed parallel process smith-waterman algorithm in C language.
Optimized the algorithm with SIMD instructions.
Reduced the resource usage and energy consumption as well.