• Own a clearly defined problem area within the platform. • Conduct lightweight discovery: customer calls, support ticket mining, analytics review, win/loss insights, session replays. • Write sharp problem statements and define measurable success criteria. • Turn ambiguity into structured thinking and validated hypotheses. • Identify opportunities to improve activation, retention, revenue, or operational efficiency. • Define MVP vs V1 vs V2 iterations and define the requirement • Goals & KPIs • In-scope / out-of-scope • User stories & acceptance criteria • Edge cases & risks • Maintain clear decision logs and documentation. • Prevent scope creep through structured thinking. • Design intuitive user flows and information architecture. • Think deeply about onboarding, empty states, failure states, and microcopy. • Ensure experiences align with platform conventions. • Ship functional, usable interfaces even when design support is limited. • Advocate for customer clarity and simplicity. • Architect scalable systems across frontend, backend, APIs, automation, and AI workflows. • Ship production-grade code with high reliability and maintainability. • Balance latency, performance, scalability, and cost. • Build integrations and automation frameworks. • Own migrations, backward compatibility, and system resilience. • Build LLM-powered features, agents, or workflow automation. • Design evaluation loops and guardrails. • Optimize inference cost, latency, and reliability. • Continuously iterate based on real usage signals. • Define KPIs for every feature shipped. • Instrument events, funnels, and telemetry. • Monitor adoption, activation, engagement, and failure metrics. • Run lightweight experiments or A/B tests. • Use data to drive iteration and continuous improvement. • Improve system observability and monitoring. • Automate internal workflows to reduce cycle time. • Maintain clean documentation and runbooks. • Continuously reduce tech debt and UX debt.

• Lead complex projects with multiple stakeholders and engineers to deliver significant impact to our business • Set direction for critical technical surface areas, enabling us to stay ahead of continued rapid growth • Design, develop, and own new product functionality and/or infrastructure leveraging modern frameworks and tooling (TypeScript, React, Node.js) • Work with talented and kind engineers to make a significant impact on our customer base, enabling them to improve their security and prove it • Contribute to building Vanta’s engineering culture as we grow

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We build robotic spacecraft that enable dynamic space operations, creating a future where maneuvering, upgrading, refueling, and exploration are as routine as they are on Earth. Getting to space and overcoming the gravity well is only half the story. What you do there is the future. We are not building the trains. We are building the machines that lay down the tracks. By developing the foundational capabilities that make sustained, responsive operations possible, we enable a new era of space activity that strengthens national security and ensures freedom of action in an increasingly contested domain. Working at Katalyst is intense, hands-on, and deeply rewarding. You’ll take real ownership and see your work move from concept to operations in an environment where the problems are hard and the impact is real. We value humility, craftsmanship, and doing things the right way, even when it’s harder. You’ll work closely with thoughtful, driven teammates who push each other to do their best. What You'll Do - Design and implement containerized microservices within an AWS environment (Lambda, ECS) - Lead the design of relational database schemas (Postgres), prioritizing query performance engineering and indexing strategies to handle large, readily available SDA datasets - Own the end-to-end feature development and integration of streaming and batch ETL pipelines - Familiarity with deploying ML models in production and adding instrumentation to monitor model performance - Help with architecture design and defining technical direction - Mentor and help develop other less experienced engineers Qualifications - 5+ years of full-time software engineering experience - Experience working in the defense/space industry - Comfortable working in a small, fast-paced Agile environment - Strong communication skills and ability to execute under uncertainty - Familiarity with one or more of the following: Machine Learning, SDA, Backend Development - Proficiency in Linux, Python, SQL, Docker, and AWS - Eligible to obtain and maintain an active U.S. security clearance Requirements - Experience instrumenting microservices with Observability (we use the LGTM stack) - Comfortable leading algorithm development across different SDA data modalities (EO, Orbital, RF, etc.) to solve problems such as anomaly detection, pattern-of-life modeling, or maneuver detection Benefits - Your base salary will be determined on a case-by-case basis and may vary based on job-related knowledge and skills, education, and experience. The anticipated salary range for this role is $140,000 - $180,000 annually. - Base salary is just one part of your total rewards package at Katalyst. - You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. - You will receive access to comprehensive medical, vision, and dental coverage. - Unlimited Paid Time Off. Company Description At Katalyst, our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. *remote work will require an exception from the hiring team

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the opportunity to design, build, and automate cutting-edge cloud solutions in a dynamic, fast-paced technology environment. You will be responsible for full stack development, Azure infrastructure management, CI/CD pipeline automation, security remediation, and containerized application deployment. Collaborating across cross-functional teams, you will help implement modern DevOps practices and support analytics and AI-driven workflows. The ideal candidate thrives in an agile environment and enjoys solving complex infrastructure and application challenges end-to-end. - Build, manage, and maintain Azure cloud infrastructure and associated services. - Develop and automate CI/CD pipelines using Azure DevOps and Git. - Implement Infrastructure as Code (IaC) with Terraform and automate platform tasks. - Deploy and manage containerized applications with Docker, Kubernetes, and Helm. - Resolve security violations and apply cybersecurity best practices across the platform. - Support analytics and data engineering initiatives using Azure Databricks and AI tools. - Write automation scripts for UNIX/Linux environments and collaborate with cross-functional teams to deliver integrated cloud solutions. - Participate in SAFe Agile processes, contributing to sprint planning, development, and delivery. Qualifications - 6+ years of hands-on experience in Azure cloud engineering and full stack development. - Strong experience with Terraform, CI/CD, Git, and DevOps practices. - Proficient in Java and Python, including development, debugging, and testing frameworks such as JUnit. - Knowledge of containerization technologies, including Docker, Kubernetes, and Helm. - Experience implementing security best practices and managing enterprise-grade cloud infrastructure. - Familiarity with data engineering, analytics workflows, and AI/ML tooling within Azure. - Strong problem-solving, communication, and collaboration skills in cross-functional and Agile environments. Benefits - Competitive salary and performance-based incentives. - Comprehensive medical, dental, and vision coverage. - Flexible work arrangements with remote-friendly options. - Professional development budget and continuous learning opportunities. - Paid vacation, sick leave, and holidays. - Access to modern development tools, cloud platforms, and collaboration technologies. - Employee recognition programs and supportive team culture.