- Salary: up to 37 500 PLN/month
- Type of contract: UoP
- Working model: Remote
Join our client, which makes software to help users organize data, discover the truth, and act on it. Their SaaS product manages large volumes of data and quickly identifies key issues during litigation and internal investigations. The AI-powered communication surveillance product proactively detects regulatory misconduct like insider trading, collusion, and other non-compliant behavior. They have over 300,000 users in 49 countries serving thousands of organizations globally.
As a Staff Software Engineer focused on Structured Data Storage, you will lead the design and implementation of scalable, resilient cloud-native storage solutions using technologies like CosmosDB, Azure Parquet, ADLS, CockroachDB, TiDB, and Snowflake. Your work will enhance platform scalability, performance, and reliability, helping teams deliver greater value with less operational overhead.
You’ll join the Infrastructure Services group, supporting core platform areas like compute, networking, and storage. The Structured Storage team provides reliable and cost-effective storage building blocks for product teams. Acting as a technical leader and mentor, you’ll drive architectural decisions and ensure collaboration across engineering teams to modernize and simplify data infrastructure.
Job Responsibilities
- Lead the full software lifecycle and strategic implementation of modern cloud-native structured data storage technologies (such as CosmosDB, ADLS, Parquet, Snowflake, CockroachDB), aiming to enhance scalability, performance, and resilience across the data platform.
- Take hands-on responsibility for architecting and developing core structured storage services, ensuring high standards of reliability, security, and operational efficiency.
- Promote modern data design principles, storage strategies, and governance practices via design reviews, workshops, documentation, and knowledge-sharing initiatives.
- Serve as a trusted advisor to senior technical and product leadership (Directors, VPs, CTO), providing guidance on architectural decisions, technology trade-offs, and long-term platform direction.
- Act as technical owner and mentor for structured storage architecture, supporting multiple engineering teams and fostering technical excellence and collaboration.
- Evaluate new data storage technologies and drive their adoption where they align with business objectives and architectural evolution.
- Maintain and prioritize a roadmap for improvements and innovations in storage infrastructure, ensuring timely delivery through leadership and coordination.
- Detect and address scalability challenges, reliability risks, and performance limitations, driving cross-team initiatives to resolve them.
- Stay informed on trends in distributed databases, cloud storage architectures, and serverless data patterns to guide ongoing strategy development.
Minimum Qualifications:
- 7+ years of experience in backend engineering, distributed systems, or data platform development.
- At least 4 years of practical experience designing and implementing cloud-native storage solutions on Azure, AWS, or GCP.
- Proven expertise in at least one large-scale data storage technology (e.g., CosmosDB, Snowflake, ADLS, Parquet).
- Strong understanding of data modeling, consistency models, data partitioning, and query optimization within distributed environments.
- Proficiency in C#, Java, Python, or similar programming languages.
- Experience developing production-grade APIs and integrating data solutions into enterprise systems.
Preferred Qualifications:
- Familiarity with various structured storage models (relational, columnar, key-value, time-series) and associated technologies (e.g., Cassandra, MongoDB, Redis).
- Experience with infrastructure-as-code, container orchestration (Kubernetes), and serverless architectures for data management.
- Background in leading architectural and strategic platform initiatives at scale.
- Experience working within regulated industries (e.g., healthcare, finance, legal tech).
- Advanced degree in Computer Science or related discipline.
Leadership Expectations:
- Define and drive technical strategy for structured data storage systems, ensuring adoption across engineering teams.
- Mentor senior and mid-level engineers, fostering high technical standards and continuous learning.
- Lead cross-functional initiatives requiring coordination between architecture, security, platform, and product teams.
- Represent structured storage topics in technical planning sessions, design reviews, and executive discussions.
- Cultivate a culture of ownership, innovation, and technical curiosity within the broader engineering community.
Competencies and Skills:
- Technical Mastery: Expertise in cloud-native databases, storage design, and distributed systems scalability.
- System-Level Thinking: Ability to design holistic, optimized systems that balance performance, cost, and maintainability.
- Leadership & Influence: Comfortable guiding diverse engineering teams and aligning them to technical vision.
- Communication: Strong skills in articulating architectural strategies and technical recommendations to both engineers and leaders.
- Problem Solving: Skilled at analyzing and resolving complex scalability and performance challenges in cloud environments.
- Collaboration: Track record of building partnerships across platform, infrastructure, and application teams.
- Adaptability: Comfortable working in dynamic environments with shifting priorities and emerging technologies.
Benefit Highlights:
- Comprehensive health, dental, and vision plans
- Parental leave for primary and secondary caregivers
- Flexible work arrangements
- Two, week-long company breaks per year
- Unlimited time off
- Long-term incentive program
- Training investment program
