Business Systems Analyst II - Digital Workplace Device Engineering (Remote)

🏢 Summary: Systems Analyst (AVP) role focused on translating business needs into scalable system solutions and supporting delivery across business, technology, and operations. The position covers requirements analysis, functional design, testing, implementation readiness, and ongoing system enhancements in an enterprise environment. Onsite work is required four days per week, with one remote day. 🗂️ Requirements: Bachelor’s degree in Information Systems, Computer Science, related field, or equivalent experience, Systems or business analysis experience in a technology delivery environment, SDLC methodology familiarity, Data analysis, system interface, and process modeling experience, Ability to work onsite 4 days per week 📃 Skills: SDLC, Agile, Waterfall, Data, Interfaces, Modeling, Testing, UAT 🏢 Description: Who We Are Looking For We are looking for a Systems Analyst (AVP) who will partner closely with business stakeholders and technology teams to translate business needs into well-defined system solutions. This role sits at the intersection of business, technology, and operations, supporting the design, delivery, and ongoing improvement of systems and applications. Why this role is important to us The team you will be joining plays a critical role in enabling effective technology delivery by ensuring business requirements are clearly understood, well documented, and aligned to scalable technical solutions. This role helps drive clarity, reduce delivery risk, and ensure solutions meet business and operational needs. What you will be responsible for Partner with business stakeholders to gather, analyze, and document functional and non-functional requirements Translate business needs into clear system specifications, process flows, and functional designs Work closely with developers, testers, and project managers to support solution design and delivery Identify gaps, risks, and dependencies in requirements and propose practical solutions Support testing activities, including requirements validation, test case review, and issue triage Assist with implementation planning, user acceptance testing, and production readiness Provide ongoing analysis and support for system enhancements, defects, and change requests Maintain accurate documentation including requirements, process flows, and system artifacts Serve as a liaison across business, technology, and operations to ensure alignment throughout the delivery lifecycle What we value – These skills will help you succeed in this role Strong analytical, problem-solving, and critical-thinking skills Ability to communicate effectively with both technical and non-technical stakeholders Experience working across multiple teams and managing dependencies Strong attention to detail and commitment to documentation quality Ability to balance multiple priorities in a delivery-focused environment Education & Preferred Qualifications Bachelor’s degree in Information Systems, Computer Science, or a related field (or equivalent experience) Experience performing systems or business analysis in a technology delivery environment Familiarity with SDLC methodologies (Agile, Waterfall, or hybrid) Experience with data analysis, system interfaces, and process modeling Additional Requirements Comfortable working in a complex enterprise environment with multiple stakeholders. Experience supporting large-scale or multi-team initiatives is a plus. Work Requirement Onsite 4 days a week in office and one day remote Standard business hours aligned to project and stakeholder needs Salary Range $80,000 - $140,000 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit https://hrportal.ehr.com/statestreet/Home . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement Job Application Disclosure It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Job ID: R-791484

🏢 Summary: Remote Staff Backend / Database Infrastructure Engineer role for a hands-on systems engineer to architect a purpose-built database and scale voice-AI infrastructure to 100,000+ concurrent calls. The offer includes $160,000–$240,000 USD base salary, 0.2%–1% equity, and the option to remain an individual contributor. 🗂️ Requirements: 5+ years of production backend engineering experience, Database, queue, indexing, or large-scale data-system development experience, Storage, ingestion, and query-path expertise, Distributed-systems design and production scaling experience, Quantifiable production-systems experience, End-to-end technical ownership, Architectural judgment and rapid iteration, Autonomous work in ambiguous startup environments, Written and verbal English, Daily AI coding-tool usage, Substantial daily US working-hours overlap 📃 Skills: Backend, Databases, Queues, Indexing, Storage, Ingestion, Querying, DistributedSystems, Claude, Codex, Cursor 🏢 Description: Staff Backend / Database Infrastructure Engineer Remote — Europe, Canada, United States, or other locations with reasonable US time-zone overlap. Substantial daily overlap with US working hours is required. Candidates in Europe should be comfortable working late afternoons and part of the evening. Hybrid work is available in Austin or San Francisco. Compensation • Base salary: $160,000–$240,000 USD • Equity: 0.2%–1% • Final offer depends on seniority, location, experience, and level of technical ownership. Description Join a small, senior engineering team building database and backend infrastructure for a QA platform for AI voice agents. The platform supports pre-deployment simulations, production monitoring, observability, and automated red-teaming, and is scaling from thousands toward 100,000+ concurrent calls, with a longer-term path to one million. What You Will Work On • Lead the design and development of a purpose-built database and indexing architecture. • Scale the simulation engine toward 100,000+ concurrent voice calls. • Build high-throughput ingestion, storage, and query infrastructure. • Develop systems for processing call recordings, transcripts, metadata, and evaluation results. • Improve reliability, latency, and performance across the platform’s highest-load paths. • Build infrastructure supporting AI red-teaming and production monitoring. • Make key architectural decisions and turn them into working prototypes quickly. • Own projects end-to-end, from ambiguous problems through production deployment. • Help establish the technical direction for a long-term platform. What We Are Looking For • At least 5 years of production backend engineering experience. • Hands-on experience building or core-contributing to a database, queue, indexing layer, or large-scale data system. • Strong understanding of storage, ingestion, and query paths. • Experience designing and scaling distributed systems under real production load. • Ability to discuss previous systems quantitatively, including throughput, data volume, latency, SLAs, bottlenecks, and failure modes. • Evidence of personal ownership of meaningful system components. • Ability to build complete systems, not only narrowly scoped components. • Strong architectural judgment and a bias toward shipping and iteration. • Experience operating without extensive process, detailed specifications, or organizational scaffolding. • Clear written and verbal English communication. • Daily use of AI coding tools such as Claude Code, Codex, or Cursor, with practical understanding of their strengths and trade-offs. • Availability for substantial daily overlap with US working hours. Strong Advantages • Experience as a founding engineer, first or second engineer, or one of the first ten startup hires. • Experience at a modern database, data infrastructure, or observability company. • Open-source contributions to PostgreSQL, ClickHouse, Redis, Kafka, Temporal, LiveKit, or similar infrastructure projects. • Production experience with Scala, Rust, Haskell, or another systems-oriented language. • Experience with voice technology, telephony, WebRTC, audio pipelines, or real-time communications. • Experience building systems that process gigabytes or terabytes of data daily. • Hands-on experience with PostgreSQL, Kafka, Redis, ClickHouse, Temporal, or custom indexing systems. • Personal systems, database, or open-source projects built outside primary employment. Voice and telephony experience is not required. Deep systems engineering capability is prioritized over voice-domain experience. How the Team Operates This is a small, senior, highly technical team. The team ships multiple times per day and follows a simple model: define the problem, identify options, select the cheapest useful experiment, assign ownership, ship, and iterate. The environment suits engineers who value autonomy, ambiguity, and direct responsibility. It is not a strong match for candidates who need lengthy onboarding, extensive organizational structure, or a large support team before contributing. The role can remain a highly technical individual-contributor position; future management responsibilities are available but not required. Interview Process The process typically takes approximately two weeks: • 15-minute introductory and culture conversation. • Open-book backend coding interview using the candidate’s preferred AI tools. • System design interview. • Second system design interview. • Optional paid two-to-three-day work trial, if additional mutual validation is needed. • Reference checks and offer. Application Apply with a CV or LinkedIn profile. Include a short example of the most complex database, queue, indexing, or large-scale backend system personally built or owned, including its scale and individual contribution where possible.

🏢 Summary: Backend Engineer role focused on building and operating the AI inference and orchestration systems behind a production AI assistant. The position emphasizes low-latency, high-throughput APIs, distributed-system reliability, observability and performance optimization for mobile, desktop and machine-learning integrations. Remote-first collaboration is available for a candidate working from Poland, with base salary and equity assessed individually. 🗂️ Requirements: Production backend engineering experience, High-throughput, low-latency service experience, AI inference familiarity: LLMs, embeddings, multimodal models, Distributed-systems debugging under load, Production observability and incident-management knowledge, Performance-optimization expertise, Independent delivery in ambiguous environments, Working from Poland, Working-hours overlap with immediate team 📃 Skills: Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, Embeddings, SQL, NoSQL, Kubernetes, Docker, APIs, Caching, Batching, Streaming, Logging, Alerting 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role As a Backend Engineer specializing in AI systems, you will own the inference and orchestration layer behind the product’s AI interactions. Your work will sit between models and end users, where latency, correctness, reliability and operating costs directly affect the product experience. You will build and operate production systems that transform model capabilities into fast, stable and observable APIs used by mobile and desktop applications. What you will do Build and operate backend systems serving AI-powered functionality in production. Design inference pipelines, orchestration layers and service boundaries around Machine Learning models. Take ownership of production monitoring, logging, alerting and incident response. Optimize latency and throughput across inference, caching, batching and streaming. Build reliable APIs supporting integration with mobile, frontend and Machine Learning systems. Diagnose distributed-system issues under production load. Continuously improve system performance and reliability using real-world production signals. What we are looking for Strong backend engineering fundamentals supported by experience with production systems. Experience building or operating high-throughput, low-latency services. Familiarity with AI inference patterns, including LLMs, embeddings and multimodal models. Confidence debugging distributed systems under load. Understanding of production observability, incident management and performance optimization. A delivery-oriented mindset focused on shipping, observing production behavior and improving through iteration. Ability to work independently and make pragmatic engineering decisions in an ambiguous environment. What success looks like Backend systems reliably handle production AI traffic at scale with low latency and high throughput. APIs remain stable, clear and easy to integrate with frontend, mobile and Machine Learning systems. Production incidents are detected quickly, diagnosed effectively and resolved with minimal impact on users. System performance and reliability improve continuously based on real-world usage and production data. Technology stack Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with backend, Machine Learning, mobile and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.