• Establishes and satisfies complex system-wide information security requirements based upon the analysis of user, policy, regulatory, and resource demands. • Supports customers at the highest levels in the development and implementation of doctrine and policies. • Applies expertise to government and commercial common user systems, as well as to dedicated special purpose systems requiring specialized security features and procedures.

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. DX, now part of Atlassian, helps companies build world-class engineering organizations by providing leaders with deep insights into developer experience and productivity. Based in downtown Salt Lake City, we are trusted by industry leaders like Etsy, Dropbox, Twilio, Pfizer, and Booking Holdings to help their engineering teams thrive at scale. Responsibilities As a Support Specialist, you will work closely with customers to understand and troubleshoot technical issues across our platform and integrations. This requires familiarity with APIs, data ingestion pipelines, authentication configurations, and the engineering systems customers connect to DX (e.g., GitHub, Jira, Azure DevOps). You will also support customers using our survey tools, which help teams gather and act on feedback from developers, engineering managers, and other technical stakeholders. This includes assisting with survey configuration, deployment, and interpreting survey data alongside usage analytics to provide a holistic view of developer experience. You’ll be a key member of our support team, helping customers resolve issues via web, email, case updates, and direct video or Slack-based support. You’ll also partner with our Engineering and Customer Experience teams to ensure product quality and to share insights on recurring challenges or product gaps. This is a great opportunity for someone excited to work at the intersection of developer tools, data infrastructure, team feedback, and customer advocacy—and eager to learn and grow within a fast-paced, global organization.Key Responsibilities - Customer Advocacy: Serve as the first line of support for customers using DX’s Survey and Data Cloud products, helping them troubleshoot issues and get unblocked quickly. - Survey Enablement: Assist with survey setup, delivery, and analysis to ensure customers collect meaningful feedback from their engineering teams. - Technical Troubleshooting: Investigate and resolve unexpected product behaviors, escalating when necessary to Engineering or Product. - Omnichannel Support: Communicate clearly and professionally with customers via Slack Connect, Microsoft Teams, email, and video calls. - Process Improvement: Document support interactions, identify patterns in customer feedback, and contribute to improving internal processes and external resources. Qualifications Qualifications - Experience: 0–2+ years of customer-facing technical support or solutions engineering experience. - Tooling: Familiarity with engineering tools like GitHub, Jira, Azure DevOps, GitLab, etc. - Integrations: Understanding of APIs and how systems connect via webhooks or tokens. - Communication: Comfort troubleshooting and explaining technical concepts to both technical and non-technical users. - Security: Familiarity with authentication concepts (OAuth, SAML, token-based auth). Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: USD 90000 - USD 108000 Zone B: USD 81000 - USD 97200 Zone C: USD 74700 - USD 89640 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh.

• Develop pipelines and processes to collect, transform, and analyze cost and usage data from the data platform; • Build metrics, dashboards, and indicators to monitor resource efficiency and data usage; • Support the creation of cost monitoring solutions, anomaly detection, and identification of optimization opportunities; • Work with usage data from platforms such as Databricks and AWS to understand how resources are being used; • Help develop tools and processes that make cost management easier for data domains; • Collaborate with engineers and architects to identify improvements in platform usage and propose optimizations; • Support cost governance and data platform efficiency initiatives; • Participate in building solutions that help democratize access to platform usage and cost information;

Role Description We’re looking for a Principal Engineer Lead to drive the design and development services that power Amira’s AI-based suite of educational products. This is an individual contributor role for an experienced engineer who can take ownership of complex systems and act as a technical lead within a small, high-velocity team. You’ll operate with significant autonomy, move fast, and have outsized impact on the product and the team—owning not just technical output but team delivery, flow, and system-level effectiveness. You’ll build services and data pipelines that deliver insights to districts, support internal analytics, and drive product experiences, while translating product and business goals into clear technical direction and guiding the team in execution. The work spans backend APIs to distributed data workflows, all within a cloud-native architecture. This role operates in an AI-first development paradigm. You’ll spend more time on system design, intent specification, and rapid iteration than on line-by-line manual implementation—and you’ll bring the team along on that journey. We’re looking for someone who sees AI-assisted development not as an add-on, but as the primary way modern software gets built, and who can demonstrate what that looks like in practice for a high-performing team. You’ll wear multiple hats, operate in ambiguity, and make decisions without waiting for permission. The team is small enough that your technical choices directly shape the product experience for millions of students. If you thrive on ownership, speed, and building something that matters—not process and hierarchy—this is the environment for you. Qualifications - Strong background in cloud-based architectures, APIs, and modern software development practices, including CI/CD pipelines and containerized environments. - Deep understanding of AWS services, including but not limited to Lambda, DynamoDB, API Gateway, S3, and CloudFormation. - Demonstrated experience working in an AI-first development style—using LLM-based tools as a primary means of building, not just an occasional assist. - Familiarity with educational technologies, learning platforms, or similar domains is a strong plus. - Hands-on experience with AI coding tools (Claude, Cursor, or similar) in day-to-day development workflows. - Strong judgment about when AI-generated code is production-ready versus when it needs manual refinement—particularly in data-critical contexts. - Experience introducing AI-assisted workflows to a team and shifting development culture toward prompt-driven practices. - Comfort evaluating build-vs-buy decisions for AI capabilities, including managed services (e.g., AWS Bedrock, SageMaker) versus custom implementations. - Passionate about education and improving learning through technology. - A self-starter who takes ownership of outcomes—not just tasks—and thrives on shipping high-impact features, learning from user feedback, and proactively identifying the next problem to solve. - Believes the future of software engineering is about directing systems, not just writing them—and is excited to figure out what that looks like in practice for a small, high-performing team. - Comfortable with startup pace—tight deadlines, shifting priorities, and building elegant solutions with imperfect information. - Strong collaboration skills, with the ability to work cross-functionally with other engineers, architects, and stakeholders outside of R&D such as Customer Success and Support. - Clear and effective communicator who can articulate technical ideas to a diverse audience. Requirements - 8+ years of backend development experience, with a strong background in building and maintaining production systems. - Experience working in a startup or early-stage environment where you owned large surface areas with minimal structure. - Skilled in Node.js, Python, and/or .NET and cloud-first application design. - Experience working with relational and NoSQL databases, distributed data pipelines, and large-scale data processing. - Familiarity with PySpark, Glue, or similar frameworks is a plus. - Deep knowledge of AWS or similar cloud platforms, and comfort working in serverless environments. - Track record of identifying high-leverage opportunities to apply AI to real problems—not just internal tooling, but product and data capabilities. - Experience with AI/ML infrastructure concepts: model serving, RAG architectures, evaluation pipelines, or vector databases. - Strong communicator who thrives in a collaborative, fully remote team environment. - Self-directed and able to work autonomously with minimal supervision while maintaining productivity. - Comfortable acting as a technical lead—driving implementation forward, making architecture decisions without escalation, and unblocking peers—while staying hands-on in a fully remote, async-first environment. - Mission-aligned and energized by helping students succeed. Benefits - Competitive Salary - Medical, dental, and vision benefits - 401(k) with company matching - Flexible time off - Stock option ownership - Cutting-edge work - The opportunity to help children around the world reach their full potential Company Description Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district’s Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student’s skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district’s high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers.