Shravani Gunturu

Senior Software Engineering Manager @Galileo Financial Technologies

Austin, TX, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2026 — Present

Senior Software Engineering Manager @Galileo Financial Technologies

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I lead the ACH Payments Platform at Galileo (SoFi\'s subsidiary), a Tier‑1 financial system that processes approximately $2.5B in annual transaction volume and powers the company’s largest money‑movement ecosystem. I oversee the platform’s reliability, security, and scalability, and I’m driving a multi‑year modernization initiative to transform the legacy ACH system into a cloud‑ready, resilient, and extensible service for SoFi’s next generation of products.

EDUCATION

2004 — 2008

Birla Institute of Technology and Science, Pilani

Bachelors of Engineering(Hons)

2019 — 2020

Kellogg Executive Education

Product Strategy, Product management

N/A

University of Michigan

Masters, Computer and Information Sciences, General

N/A

University of Michigan

Masters, Computer Science (Data science and Data mining)

SKILLS

Project ManagementWeb ServicesProduct VisionAsp.net,C#,Sql,Oracle,Webservices,Jquery,Javascript,Iis,Vss,Ado.net,Html,Xml,Vb.Product LifecycleEntity FrameworkSdlcAngularjsData AnalyticsHtmlAgile MethodologiesScrumVb Script , Vb.netJavascriptOracle, Java , PythonJqueryProduct DevelopmentWcfGithubMicrosoft AzureStatistical Data AnalysisXmlJiraProduct DesignProduct LaunchCrystal ReportsSql Server 2005/2008/2012, Tsql, Oracle Server, Views and Stored Procedures.Agile Project ManagementMvc 4.0Product ManagementRazor , Xslt, Http, Css, Linq,Software Project ManagementAsp.net MvcProject PlanningBoostrapSqlBitbucketData MiningProduct Road MappingAsp.net

ABOUT SHRAVANI GUNTURU

With over 16 years in Software Engineering and 6+ years as an Engineering Leader overseeing globally distributed teams, I started on my career journey as a full-stack engineer. With a deep passion for leadership and mentorship, I transitioned into Engineering leadership role where I led projects at intersection of Software Engineering, Cybersecurity and DevOps, driving impactful change across organizations.> Lead diverse Engineering teams spanning multiple geographies, with a strong focus on building applications using large Scale Distributed Systems, Microservices, and UI development, overseeing teams of over 25+ members.> Manage Platform Engineering teams proficient in AWS, Azure, and DevOps technologies. Lead Data Science teams specialized in AI, ML and Computer Vision technologies. Drive the innovative AI chatbot projects, leveraging Amazon Bedrock, Generative AI, and LLM models (Anthropic).> Lead org level security initiatives, including building custom IAM system (Zero Trust, SAML,SSO, OAuth, OIDC, AD, Entra, RBAC, ABAC, Permit.io), Vulnerability management (Wiz), AWS security, logging(SIEM and SOAR), and endpoint security (CrowdStrike) to strengthen organizational cybersecurity(>90%).>Establish visionary roadmaps aligning with strategic initiatives and operational excellence (OE) goals, driving teams towards innovation and excellence.> Hire, coach and mentor team members to empower and support them through their professional development journey.During my tenure at Amazon as an SDM, I led the Transportation Optimization team within the Supply Chain Organization. Here, I orchestrated multiple key initiatives and high-impact projects focused on optimizing costs and routes for packages shipped by Amazon. Collaborating closely with cross-functional teams and business stakeholders, I launched schedule delivery services for new programs, shaping the long-term vision and strategy to support scale and market expansion.At GEICO, I currently lead AWS platform engineering teams responsible for enabling the AWS network and security infrastructure(IAM, RBAC) across the enterprise. I oversee multiple infrastructure projects aimed at facilitating the migration of the OnPrem call center to the AWS Connect platform, ensuring seamless transitions and operational efficiency. Lead the placement engine team to support GECIO’s new vision to rebuild the cloud infrastructure using Kubernetes platform leveraging hybrid cloud strategy (AWS, Azure, and Bare metal Servers).

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