Senior Specialist, Analytics Platform Engineer

Overview

Senior Analytics Platform Engineer responsible for developing solutions that support the delivery of product roadmaps for multiple Data Analytics platforms, working with technical product managers and architects to design, test and release capabilities.

What you'll do

• Architect, build, deploy and maintain cloud infrastructure, containerization and orchestration (e.g., Kubernetes) to support the application and data integration platform.
• Lead technical implementation of platform features and manage their adoption across engineering and product teams.
• Collaborate with product managers and customers to understand requirements and translate them into scalable, secure infrastructure solutions.
• Participate in product planning: contribute to backlog prioritization, provide estimations and support timely delivery of enhancements.
• Ensure platform availability and reliability; monitor performance and implement optimizations.
• Proactively identify and implement cost-saving opportunities for cloud and platform resources.
• Collect and act on user feedback to improve platform usability and adoption.
• Work effectively in a matrix organization, aligning functional engineering goals with product priorities.
• Test solutions, update SDLC documentation and release capabilities as part of specific product releases.

What you'll need

• Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related science or technology discipline.
• 7 to 11 years of overall experience.
• Minimum 5 to 7 years of experience in software/platform engineering practices (including versioning, release management, deployment, agile and related software tools such as GitHub Actions, Cloudbees CD, Terraform, CloudFormation, Kubernetes).
• Extensive hands-on experience designing, deploying and operating cloud-native infrastructure (AWS preferred; experience with Azure or GCP acceptable).
• Good experience in data and integration, and understanding of data analytics concepts, ETL/ELT and integration platform architecture.
• Strong understanding and experience in the data analytics ecosystem; experience in data ingestion, curation and orchestration tools is preferred.
• Proven experience owning end-to-end Airflow platform operations, including environment setup and upgrades, DAG scheduling and resource optimization, user/role management, monitoring and alerting, and troubleshooting performance/dependency issues across on-prem and/or cloud deployments.
• Extensive knowledge of cloud networking, security best practices and cost optimization.
• Experience with container platforms and orchestration (Kubernetes, Docker).
• Proficient with IaC tools (Terraform, CloudFormation or equivalent).
• Strong experience building and maintaining CI/CD pipelines and automation (GitHub Actions).
• Architect automated security controls, including Role-Based Access Control (RBAC), row/column-level security, OIDC/OAuth integrations and automated audit logging to meet strict enterprise and regulatory compliance standards.
• Establish platform SLAs/SLOs and end-to-end observability (Datadog, Prometheus, Monte Carlo).
• Proactively lead FinOps initiatives to monitor, optimize and govern compute and storage spend across analytical workloads.
• Extensive practical programming/scripting skills (Python, Bash/Shell).
• Solid understanding of version control, release management, deployments and related tooling.
• Familiar with SDLC, basic QA/testing practices and release verification.
• Experience with monitoring, logging and observability tooling (Prometheus, Grafana, Acceldata or similar).
• Proven ability to maintain platform availability, troubleshoot production issues and implement optimizations.
• Experience working closely with product teams; able to translate customer needs into technical solutions.
• Product- and customer-centric mindset with experience participating in product lifecycle activities.
• Experience working in Agile teams and knowledge of Scrum.
• Strong written and verbal communication skills, and ability to work in a matrixed organization.
• Required skills: Amazon Web Services (AWS), cloud networking and operations, data engineering, infrastructure security, Kubernetes, platform engineering, software development life cycle (SDLC), solution architecture, system designs.

Nice to have

• Experience in the data ingestion, curation and orchestration tools.
• Experience with Azure or GCP.

Details

• Location: Hyderabad, Telangana, India (Hitec City Raidurg).
• Flexible work arrangement: Hybrid.
• No travel required.
• Domestic relocation.
• No visa sponsorship.
• Employee status: Regular.
• Job posting end date: 11/13/2026.