Bheemi Reddy

About Bheemi Reddy

Around 11+ years of experience in Software Product Development and 6+ years in Software architecture, design using formal software engineering and project management methodologies. • Experience in People Management, Product Vision, go-to-market strategy, design discussions, Operational Efficiency, customer-facing role, interfacing with executive stakeholders, driving IT technical implementations, transformation programs, Automation, digital/data transformation, Quality assurance, engineering productivity, product quality experience. Process Improvement, creating product roadmaps, technical innovation, leading engineering teams & working in leadership roles, building & delivering data pipelines, dashboards, Analytics. Recognized for strong stakeholder management and executive communication, effectively partnering with C-level leadership to define technology roadmaps, influence decision-making, and deliver high-impact transformation programs.Technology Stack : • FE Technologies – HTML,CSS, JavaScript, React js, Vue js, Angular, Swift, TypeScript • Backend Programming Languages –JavaScript, PHP, Python, Java, Rust, Solidity, Go, Kotlin, NodeJS, C, C++, TypeScript, Swift, Scala, C# • Scripting Languages – Bash Scripting, Python, Ruby, Perl, PowerShell • BE Frameworks – Spring, Flask, Django, Ruby on Rails, Express.js, ASP.NET, Spring Boot • CI/CD Tools – Jenkins, CircleCI, GitLab CI/CD, Spinnaker, AWS CodeDeploy & Azure DevOps • IaC Tools – Terraform, AWS CloudFormation, Azure ARM, Google CDM, Kubernetes Operators, Ansible, Chef, Salt, Puppet, AWS CDK • Database – Oracle, MongoDB, MS SQL Server, IBM DB2, PostgreSQL, Redis, Elasticsearch, Cassandra, MariaDB, SQLite, DynamoDB, InfluxDB • Message Queues – Kafka, RabbitMQ, Amazon SQS, & ActiveMQ • Cloud Platforms – AWS, Azure, GCP, IBM Cloud, NetApp cloud, EMC Elastic Cloud Storage • Containers Deployments – Docker, Kubernetes, K3s, EKS, AKS • Hadoop Big Data Technologies – Pig, Hive, HDFS, MapReduce, Sqoop, Storm, Spark, Hbase, Yarn, Oozie, Zookeeper, Hadoop distribution like Cloudera, MapR, Hortonworks • Artificial Intelligence(AI) Tech Stack – DeepCode, GitHub Copilot, Amazon CodeWhisperer, Sourcegraph Cody, CodiumAI, DataRobot, Scale AI, Sagemaker, Labelbox, Google AI, Databricks, Snowflake, Redshift, BigQuery, PyTorch, Keras, TensorFlow, Kubeflow, DataRobot • Operating Systems – LINUX(RHEL 4/5/6/7), UNIX, Ubuntu, Centos, Windows • Containers Deployments – Docker, Kubernetes, K3s, EKS, AKS, MESOS • UI/UX Tools – Figma, Sketch

Experience

1. Staff Software Engineer

   Google

   Sep 2022 — Present · Bengaluru, IN

   Roles & Responsibilities: • Lead the design and development of end-to-end technical solutions, taking into account business requirements, scalability, performance, and security considerations. • Provide technical leadership and guidance to development teams, ensuring adherence to architectural standards & best practices. • Conduct architecture assessments, identify potential risks and propose mitigation strategies to ensure successful project delivery. • Collaborate with cross-functional teams to define technical roadmaps, ensuring alignment with business objectives and industry trends. • Evaluate and recommend technology stacks, frameworks, and tools that align with our technical strategy and meet project requirements. • Define and maintain architectural principles, standards, and guidelines, promoting consistency and quality across projects. • Stay up-to-date with emerging technologies and trends, continuously refining and enhancing our technical capabilities. • Review and approve code, system designs and technical documentation, ensuring clarity and completeness. • Identify opportunities for process improvements, automation, and optimization to enhance the efficiency of our development practices. • Manage projects, including breaking down requirements into smaller tasks, organizing workloads, and monitoring progress. • Advise senior management on how to plan for future technology needs and communicate the solution and its value to stakeholders throughout the organization. • Oversee assigned programs (e.g. conduct code review) and provide guidance to team members • Defining best practices and standards to development teams and assist with solving technical problems when they arise.• Recognized strong stakeholder management and executive communication, effectively partnering with C-level leadership to define technology roadmaps, influence decision-making, and deliver high-impact transformation programs.