Role Summary Were a fast-growing startup building a multi-tenant SaaS application, and Snowflake is the backbone of our data layer. Were looking for a hands-on Senior Snowflake Platform Engineer who can own Snowflake end-to-end from account administration and security to performance optimization and automation. This isnt an advisory role; youll be building, tuning, and scripting every day. What Youll do: Act as Snowflake Account Admin across multiple accounts, warehouses, and databases. Design and enforce multi-tenant security and RBAC policies to protect customer data. Create and manage roles, warehouses, schemas, and integrations for scalable tenant usage. Lead query and warehouse optimization clustering, partitioning, scaling, caching, scheduling to maximize performance and minimize cost. Implement continuous monitoring for optimization opportunities (performance + cost). Build automation pipelines that not only recommend but execute optimizations (warehouse scaling, auto-suspend policies, query improvements). Write Python-based automation and data engineering scripts for provisioning, monitoring, and reporting. Partner with data engineers and product teams to design efficient data pipelines and data models. What Youll Bring 5+ years in data engineering / database systems engineering. 3+ years of hands-on Snowflake account administration in enterprise or SaaS environments. Proven expertise in Snowflake optimization (query tuning, warehouse scaling, clustering, caching). Strong SQL and Python skills for data engineering and automation. Experience with multi-tenant security and RBAC in Snowflake. Familiarity with at least one cloud platform (AWS, Azure, GCP). Startup mindset: hands-on, automation-driven, optimization-first thinker. Preferred: SnowPro Advanced certification (Database Admin or Architect). Experience with Terraform, dbt, or automation frameworks for Snowflake provisioning. Background in FinOps / cloud cost optimization practices. Experience in regulated SaaS environments (SOC2, HIPAA, GDPR, PCI). Prior experience building multi-tenant SaaS architectures. Success Metrics (First 3 6 Months) Deliver a secure, multi-tenant Snowflake environment with strong RBAC and data isolation. Establish continuous monitoring for performance and cost optimization, surfacing actionable insights. Build automation that executes optimization recommendations, reducing manual overhead and driving measurable efficiency gains. Why Join us Youll be the optimization and security lead for Snowflake ensuring our SaaS platform is fast, cost-efficient, and secure at scale. Youll work directly with the founding team, own critical decisions, and see your optimizations immediately impact customers. If youre passionate about making Snowflake perform at its best, this role is for you. Show more Show less
Role Overview: You will be joining a fast-growing startup that is focused on building a multi-tenant SaaS application with Snowflake as the core data layer. As a Senior Snowflake Platform Engineer, your primary responsibility will be to take ownership of the Snowflake platform end-to-end. This includes tasks ranging from account administration and security to performance optimization and automation. Your role will involve hands-on activities such as building, tuning, and scripting on a daily basis. Key Responsibilities: - Act as a Snowflake Account Admin across multiple accounts, warehouses, and databases. - Design and enforce multi-tenant security and RBAC policies to safeguard customer data. - Create and manage roles, warehouses, schemas, and integrations to support scalable tenant usage. - Lead query and warehouse optimization efforts, including clustering, partitioning, scaling, caching, and scheduling to enhance performance and reduce costs. - Implement continuous monitoring to identify optimization opportunities related to performance and cost. - Develop automation pipelines that not only suggest but also implement optimizations such as warehouse scaling, auto-suspend policies, and query enhancements. - Write Python-based automation and data engineering scripts for provisioning, monitoring, and reporting. - Collaborate with data engineers and product teams to design efficient data pipelines and data models. Qualifications Required: - 5+ years of experience in data engineering/database systems engineering. - Minimum of 3 years of hands-on Snowflake account administration experience in enterprise or SaaS environments. - Demonstrated expertise in Snowflake optimization including query tuning, warehouse scaling, clustering, and caching. - Proficiency in SQL and Python for data engineering and automation tasks. - Familiarity with multi-tenant security and RBAC concepts in Snowflake. - Knowledge of at least one cloud platform such as AWS, Azure, or GCP. - Startup mindset with a focus on being hands-on, automation-driven, and optimization-oriented. Additional Company Details: As part of this role, you will have the opportunity to work as the optimization and security lead for Snowflake within the SaaS platform. Your responsibilities will involve ensuring that the platform is fast, cost-efficient, and secure at scale. You will collaborate closely with the founding team, make critical decisions, and witness the immediate impact of your optimizations on customers. If you are enthusiastic about maximizing Snowflake's performance, this role is tailored for you.,
FinOpsly is the AI brain behind cost decisions across cloud , data , and AI built to think, plan, and act. Purpose-built fortoday's complex enterprise environments, we unify FinOps across AWS, Azure, Snowflake, Databricks, and modern AI workloads enabling organizations to move from cost reporting to cost action. Role Summary FinOpsly is scaling rapidlyand with that growth comes the need to build the scaffolding that lets us move fast and safe. We are seeking a Head of Engineering (Velocity & Execution) to lead our engineering organization across enterprise SaaS and AI-driven platforms. This role is accountable for driving speed, quality, and output across teamsoverseeing full-stack developers, data engineers, and AI/ML engineerswhile ensuring flawless execution against product and business goals. The ideal candidate combines deep hands-on technical expertise with strong leadership, thrives in fast-paced startup environments, and is passionate about translating innovation into production at startup speed. What You'll do: Engineering Leadership & Delivery Own engineering execution, ensuring velocity, quality, and on-time delivery of SaaS and AI features. Lead multiple teams (full-stack, data engineering, AI/ML) across the product lifecyclefrom design to deployment. Establish and enforce agile best practices, sprint discipline, and outcome-driven execution. Build a culture of accountability, speed, and excellence within engineering. Architecture & Technical Depth Provide hands-on guidance in Next.js, Node.js, scalable SaaS architectures, and AI-driven systems. Review designs, code, and architecture to ensure technical soundness and scalability. Partner with product leaders to translate business requirements into robust technical solutions. Ensure systems are built with security, reliability, and performance as first-class priorities. Team Development & Culture Recruit, mentor, and grow high-performing engineers across full-stack, data, and AI/ML. Inspire and align the team to deliver at startup speed without compromising quality. Build cross-functional collaboration between engineering, product, and design. Champion a culture of continuous improvement, knowledge sharing, and learning. Operational Excellence Define and track engineering KPIs (velocity, code quality, release frequency, defect rates, uptime). Implement processes and automation to streamline CI/CD, testing, and release management. Proactively identify risks, bottlenecks, and blockers, driving solutions before they impact delivery. Ensure transparent communication of progress, risks, and outcomes to leadership and stakeholders. What You'll Bring 10+ years in software engineering with 5+ years in engineering leadership roles. Hands-on expertise in the full-stack application lifecycle, including Next.js, Node.js, and scalable SaaS architectures. Experience leading AI/ML platform teams and integrating AI into production systems. Strong knowledge of agile methodologies and proven ability to scale engineering execution in high-growth environments. Track record of delivering complex SaaS products with velocity and high quality. Excellent leadership, coaching, and communication skills. A startup mindset: thrive in ambiguity, move fast, and lead by doing. Preferred: Experience in enterprise SaaS platforms with multi-tenant architectures. Exposure to compliance frameworks (SOC2, HIPAA, GDPR) in engineering execution. Familiarity with DevOps practices, CI/CD automation, and cloud-native infrastructure (AWS, Azure, GCP). Background in data platforms and real-time analytics. Success Criteria (First 90-120 Days) Engineering velocity improved with clear metrics (faster release cycles, reduced bottlenecks). Cross-functional release cadence established with predictable, high-quality delivery. Key SaaS and AI features shipped to production with measurable business impact. High-performing engineering team culture reinforced with accountability and autonomy. Leadership confidence in engineering execution at startup speed with enterprise-grade quality Why Join Us This is a pivotal leadership role in a high-growth startup where innovation meets execution. As Head of Engineering (Velocity & Execution), you will shape not just the platform but the engineering culture and velocity that define our success. Your work will directly impact how quickly and reliably we deliver value to enterprise customers worldwide.
As a Senior Full Stack Developer, you will play a pivotal role in designing and developing a robust, high-scale, and secure cost management platform empowering businesses to track, manage, and optimize their cloud spend so they can stretch resources further. You will work closely with cross-functional teams to evolve the FinOpsly platform, implementing features that address critical cost KPIs for our customers. This role requires strong leadership in both the front-end and back-end domains, a passion for delivering top-tier user experiences, and a commitment to secure coding practices. - Analyze requirements (scale, complexity, business goals) and choose the right technologies and patterns for performance, reliability, and developer efficiency. - Build and maintain Node.js applications (Express, NestJS) and modern JavaScript frameworks (React, Vue, or Angular). Define APIs that meet front-end data needs, integrate with SQL/NoSQL databases, and optimize queries for speed and integrity. - Take full ownership of front-end development (React, Vue, or Angular) to deliver a cohesive user experience. - Create cohesive and responsive UIs, ensuring effective data flows, caching, and robust error handling. - Apply secure coding practices (e.g., OWASP) for authentication, authorization, and data handling, proactively identifying and addressing vulnerabilities. - Monitor and refine application performance (response times, throughput). Employ caching, load balancing, and other strategies to handle high traffic. - Containerize applications (Docker), set up CI/CD pipelines, and work with infrastructure teams to run reliable cloud environments (AWS). - Coordinate with product managers, designers, QA, and fellow engineers. Guide junior developers and uphold high engineering standards. - 5+ Years of Full Stack Experience - Proven ability to build both front-end interfaces and Node.js-based back ends using frameworks, libraries, and tools in the Node.js ecosystem. - API Design Mastery - Skilled at creating RESTful or GraphQL services with clean, efficient data contracts. - Adept in SQL/NoSQL systems, schema design, and query optimization. Specifically MPP databases like Snowflake, Redshift, and BigQuery. - Comfortable with secure coding, encryption, and modern auth strategies. Experience with testing frameworks, delivering maintainable, bug-free code. - Familiar with containerization (Docker) and CI/CD workflows. - Prior experience with app development in both JavaScript (front end) and PHP-based back ends. - Deep knowledge of SQL for crafting complex queries, building robust schemas, and ensuring data integrity. - Adept at working with numbers, leveraging this skill for data analysis, and applying logical reasoning to solve problems. - Keen eye for catching common-sense errors in functionalities, numerical outputs, and user flows ensuring quality at every step. - Capable of conveying complex technical topics to diverse audiences. - Preferred: Bachelors or Masters in Computer Science (or related), plus certifications in cloud or security.,