Senior Software Engineer

Our Mission at Tactable

What if you could build software that didn’t just scale, but transformed entire organizations?

At Tactable, this is what drives us. We’re building a world-class cloud, data, and API engineering firm with a mission to power the most influential tech of tomorrow, through expert-led delivery, strong partnerships, and a relentless focus on quality.

We don’t just consult. We build.

Founded by engineers who care deeply about people, process, and product, we go beyond just solving problems. We embed with clients, work across full project lifecycles, and operate at the speed of startups while upholding the rigor of enterprise-grade engineering.

From financial institutions to emerging tech ventures, our work is behind some of the most mission-critical systems in production today, and we’re just getting started. With growing demand from top-tier clients and a strong runway for expansion, we’re building a team of curious, ambitious developers who want to build meaningful things with meaningful people.

Take a look at tactable.io to learn more about our work and what sets us apart.

The Role: Senior Software Engineer (Cloud, Data & APIs)

This is a hands-on, hybrid role designed for builders. As a Software Engineer, you’ll be part of a deeply technical team solving real-world data and infrastructure challenges for our enterprise clients, from scaling streaming pipelines and integrating APIs to designing high-availability cloud systems.

You’ll have the opportunity to lead technical direction, mentor teammates, and rotate across domains that expose you to new tech, use cases, and industries. We're not just hiring you for a project. We’re investing in your long-term growth.

If you love writing clean code, collaborating cross-functionally, and designing systems that make a real impact, you’ll thrive at Tactable.

What You’ll Do

End-to-End Engineering

• Build scalable, high-performance backend systems using Python, leveraging concurrent and distributed architectures
• Design and implement robust, distributed data pipelines using Spark, Databricks, Kafka, and Apache Iceberg
• Develop and maintain microservices that interact with both streaming and batch data sources
• Integrate complex data systems using ETL/ELT processes, Spring Expressions, and custom APIs
• Optimize and manage datasets using Parquet, Hadoop, and modern query layers like Dremio
• Collaborate with frontend teams to support integration of React-based user interfaces with backend APIs
• Modernize and migrate legacy systems to cloud-native infrastructure

Technical Leadership

• Guide architectural decisions involving data workflows, storage formats, and service patterns
• Break down complex, cross-cutting tasks into structured delivery plans
• Mentor junior and mid-level engineers on data engineering best practices, from streaming to transformation layers
• Review and document architecture choices and technical designs for transparency and alignment

Client & Project Exposure

• Rotate across engagements (every 6–12 months) involving large-scale data and infrastructure challenges, often in banking, financial services, and regulated environments
• Lead technical execution across greenfield builds, real-time analytics platforms, and high-throughput systems
• Act as a hands-on engineering partner to client teams, building long-term technical trust and delivering meaningful impact

What You Bring

Must-Have Experience

• 8+ years of extensive software/data engineering experience in production environments
• Advanced expertise in Python , including performance optimization, concurrency, and service-oriented architecture
• Deep experience building scalable data pipelines with tools like Spark, Kafka, Databricks, and Iceberg
• Strong working kn