Health insurance

Free meal

Child care facility

Office cab/shuttle

Cafeteria

Factspan Reviews by Employees

Senior Analyst

Analyst

Associate Manager

Business Analyst

Data Engineer

Data Analyst

Senior Manager

Factspan Overview : Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bengaluru, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Role Overview : We are looking for an experienced Site Reliability Engineering (SRE) Manager to lead a team of highly skilled SREs in managing, automating, and optimizing our cloud infrastructure on Google Cloud Platform (GCP). The SRE Manager will be responsible for ensuring the reliability, availability, and performance of critical services while driving automation and operational excellence having 8+ years of experience. As an SRE Manager, you will work closely with development, infrastructure, and security teams to implement scalable, resilient, and high-performance solutions. This role is ideal for someone passionate about reliability engineering, cloud automation, and observability. Key Responsibilities : Leadership & Team Management : - Lead, mentor, and grow a team of Site Reliability Engineers, fostering a culture of innovation, collaboration, and continuous learning. - Define and drive SRE best practices, focusing on reliability, automation, monitoring, and incident response. - Collaborate with development, DevOps, and security teams to align infrastructure and application reliability with business objectives. - Own SRE roadmap and strategy, ensuring alignment with organizational goals and industry best practices. Reliability & Performance : - Ensure the uptime, availability, and performance of critical applications hosted on GCP. - Implement SLOs (Service Level Objectives), SLIs (Service Level Indicators), and SLAs (Service Level Agreements) to measure system reliability. - Conduct root cause analysis (RCA) for production incidents and drive post-mortems to improve system resilience. Automation & CI/CD : - Automate infrastructure management using Infrastructure-as-Code (IaC) tools such as Terraform or Pulumi. - Improve CI/CD pipelines using GitOps methodologies to enable faster and reliable deployments. - Champion self-healing architectures to minimize manual intervention. Observability & Incident Management : - Implement and enhance monitoring, logging, and alerting using tools like Prometheus, Grafana, Stackdriver (Cloud Monitoring), and Open Telemetry. - Develop on-call rotations, runbooks, and incident management processes to minimize downtime and improve MTTR (Mean Time to Resolution). - Use AI/ML-based anomaly detection for proactive monitoring. Security & Compliance : - Ensure security best practices for IAM, networking, and data encryption within GCP. - Conduct security audits and work with compliance teams to ensure adherence to SOC2, ISO 27001, HIPAA, or other regulatory frameworks. - Implement zero-trust security models and automated compliance policies. Cost Optimization & Capacity Planning : - Optimize cloud costs using GCP cost management tools, rightsizing, and auto-scaling. - Implement capacity planning strategies to balance cost and performance. - Work with finance teams to forecast infrastructure costs and optimize spend. Required Skills & Qualifications : Technical Skills : - Strong expertise in Google Cloud Platform (GCP) services such as GKE, Cloud Run, Cloud Functions, Cloud SQL, BigQuery, and Cloud Spanner. - Hands-on experience with Terraform, Pulumi, or Cloud Deployment Manager for Infrastructure-as-Code (IaC). - Experience with CI/CD tools like GitHub Actions, ArgoCD, Spinnaker, or Jenkins. - Strong knowledge of Kubernetes (GKE) and container orchestration. - Experience with SRE principles such as error budgets, chaos engineering, and observability. - Strong scripting and automation skills in Python - Experience with monitoring and observability tools (Stackdriver, Datadog, Prometheus, Grafana, New Relic). Leadership & Soft Skills : - Proven experience managing and mentoring SRE teams. - Strong problem-solving skills with the ability to troubleshoot complex production issues. - Ability to work in a fast-paced, DevOps-oriented environment. - Strong communication and stakeholder management skills. - Experience collaborating with cross-functional teams, including engineering, security, and product teams. Preferred Qualifications : - Bachelors degree in computer science, Information Systems, or related field - GCP Professional Cloud Architect or GCP Professional DevOps Engineer certification. - Experience with multi-cloud or hybrid cloud environments. - Hands-on experience with serverless computing and event-driven architectures. - Prior experience in high-traffic, distributed systems.

Bangalore

Factspan - Site Reliability Engineer/Manager - Google Cloud Platform (7-12 yrs)

Job Overview : As an LLM (Large Language Model) Engineer, you will be responsible for designing, optimizing, and standardizing the architecture, codebase, and deployment pipelines of LLM-based systems. Your primary mission will focus on modernizing legacy machine learning codebases (including 40+ models) for a major retail clientenabling consistency, modularity, observability, and readiness for GenAI-driven innovation. Youll work at the intersection of ML, software engineering, and MLOps to enable seamless experimentation, robust infrastructure, and production-grade performance for language-driven systems. This role requires deep expertise in NLP, transformer-based models, and the evolving ecosystem of LLM operations (LLMOps), along with a hands-on approach to debugging, refactoring, and building unified frameworks for scalable GenAI workloads. Responsibilities : - Lead the standardization and modernization of legacy ML codebases by aligning to current LLM architecture best practices. - Re-architect code for 40+ legacy ML models, ensuring modularity, documentation, and consistent design patterns. - Design and maintain pipelines for fine-tuning, evaluation, and inference of LLMs using Hugging Face, OpenAI, or open-source stacks (e.g., LLaMA, Mistral, Falcon). - Build frameworks to operationalize prompt engineering, retrieval-augmented generation (RAG), and few-shot/in-context learning methods. - Collaborate with Data Scientists, MLOps Engineers, and Platform teams to implement scalable CI/CD pipelines, feature stores, model registries, and unified experiment tracking. - Benchmark model performance, latency, and cost across multiple deployment environments (on-premise, GCP, Azure). - Develop governance, access control, and audit logging mechanisms for LLM outputs to ensure data safety and compliance. - Mentor engineering teams in code best practices, versioning, and LLM lifecycle maintenance Key Skills : - Deep understanding of transformer architectures, tokenization, attention mechanisms, and training/inference optimization - Proven track record in standardizing ML systems using OOP design, reusable components, and scalable service APIs - Hands-on experience with MLflow, LangChain, Ray, Prefect/Airflow, Docker, K8s, Weights & Biases, and model-serving platforms. - Strong grasp of prompt tuning, evaluation metrics, context window management, and hybrid search strategies using vector databases like FAISS, pgvector, or Milvus - Proficient in Python (must), with working knowledge of shell scripting, YAML, and JSON schema standardization - Experience managing compute, memory, and storage requirements of LLMs across GCP Qualifications & Experience : - 5+ years in ML/AI engineering with at least 2 years working on LLMs or NLP-heavy systems. - Able to reverse-engineer undocumented code and reimagine it with strong documentation and testing in mind. - Clear communicator who collaborates well with business, data science, and DevOps teams. - Familiar with agile processes, JIRA, GitOps, and confluence-based knowledge sharing. - Curious and future-facingalways exploring new techniques and pushing the envelope on GenAI innovation. - Passionate about data ethics, responsible AI, and building inclusive systems that scale

Factspan - LLM Engineer (6-14 yrs)

Location : Bengaluru (Hybrid) / Remote Job Type : Full-time Experience Required : 5+ Year Notice Period : immediate -30 days Role Overview : As a Collibra Expert, you will be responsible for implementing, maintaining, and optimizing the Collibra Data Governance Platform to ensure data quality, governance, and lineage across the organization. You will partner with cross-functional teams to develop data management strategies and integrate Collibra solutions with Google Cloud Platform (GCP) to create a robust, scalable, and efficient data governance framework for the retail domain. Key Responsibilities : - Data Governance Management : Design, implement, and manage the Collibra Data Governance Platform for data cataloging, data quality, and data lineage within the retail domain. - Collibra Expertise : Utilize Collibra for metadata management, data quality monitoring, policy enforcement, and data stewardship across various business units. - Data Cataloging : Lead the implementation and continuous improvement of data cataloging processes to enable a centralized, user-friendly view of the organization's data assets. - Data Quality Management : Collaborate with business and technical teams to ensure that data is high-quality, accessible, and actionable. Define data quality rules and KPIs to monitor data accuracy, completeness, consistency, and timeliness. - Data Lineage Implementation : Build and maintain comprehensive data lineage models to visualize the flow of data from source to consumption, ensuring compliance with data governance standards. - GCP Integration : Architect and implement seamless integrations between Collibra and the Google Cloud Platform (GCP) tools such as BigQuery, Dataflow, and Cloud Storage, ensuring data governance policies are enforced in the cloud environment. - Collaboration & Stakeholder Management : Collaborate with Data Engineers, Analysts, Business Intelligence teams, and leadership to define and implement data governance best practices and standards. - Training & Support : Provide ongoing training and support to business users and technical teams on data governance practices, Collibra platform usage, and GCP-based solutions. - Compliance & Security : Ensure data governance initiatives comply with internal policies, industry standards, and regulations (e.g., GDPR, CCPA). Key Requirements : - Proven Expertise in Collibra : Hands-on experience implementing and managing Collibra Data Governance Platform (cataloging, lineage, data quality). - Google Cloud Platform (GCP) Proficiency : Strong experience with GCP tools (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) and integrating them with Collibra for seamless data governance. - Data Quality and Lineage Expertise : In-depth knowledge of data quality frameworks, metadata management, and data lineage implementation. - Retail Industry Experience : Prior experience in data governance within the retail or eCommerce domain is a plus. - Technical Skills : Strong understanding of cloud data architecture and best practices for managing data at scale in the cloud (preferably in GCP). - Problem-Solving and Analytical Skills : Ability to analyze complex data governance issues and find practical solutions to ensure high-quality data management across the organization. - Excellent Communication Skills : Ability to communicate effectively with both technical and non-technical stakeholders to advocate for data governance best practices. - Certifications : Relevant certifications in Collibra, Google Cloud, or Data Governance are highly desirable. Education & Experience : - Bachelor's degree (B. Tech/BE) mandatory, masters optional - 5+ years of experience in Data Governance, with at least 3 years of specialized experience in Collibra and GCP. - Experience working with data teams in a retail environment is a plus.

Factspan - Data Governance Expert - Collibra/Google Cloud Platform (5-16 yrs)

Apply to 3 Factspan jobs on Hirist.tech, India's No.1 IT job portal. Explore IT job in Factspan Now! 

Factspan Careers, 3 Factspan Jobs, July 2025  | hirist.tech

Jobs by location

Factspan Jobs