You will:

Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings.

Ideally you will have:

Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial. Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role

We are looking for someone to build AI-powered compliance systems from the ground up. This is not a role where you inherit a mature platform and maintain it. You will be designing architecture, deploying agents, and engineering the workflows that make compliance faster and more reliable across the Corporate Compliance team. You will need to be comfortable operating in a regulated environment, making judgment calls about what should run autonomously versus what requires human review, and owning the outcomes end to end. Success looks like measurable improvement in automation rates, decision quality, audit readiness, and team enablement.

About the Team

The Corporate Compliance team is responsible for ensuring Gusto meets its regulatory obligations across payroll, payments, financial services, and state licensing. We build and maintain the compliance management system that underpins this work, including the compliance controls, obligation monitoring, exam readiness processes, and product launch reviews that keep the business running within regulatory expectations. We do this cross-functionally, partnering closely with Product, Engineering, Legal, Operations, and Risk.

Here’s what you’ll do day-to-day:

• Design and implement AI-native compliance workflows using tools like Claude Code, Codex, Gumloop, and similar platforms

• Deploy and configure AI agents across compliance use cases, including product reviews, control testing, regulatory change monitoring, licensing workflows, policy governance, and remediation tracking

• Manage and oversee those agents on an ongoing basis, defining clear boundaries between autonomous execution and human review

• Monitor agent outputs, decisions, and workflow execution; own operational metrics like task efficacy, accuracy, and regulatory coverage. Identify and address errors, hallucinations, data drift, or unexpected behavior through root cause analysis

• Own the continuous improvement cycle for agent prompts and decision logic. Conduct root cause assessments, and deploy improvements through structured testing, shadow mode validation, and controlled production rollouts

• Prototype new agentic frameworks, orchestration layers, and retrieval systems; build evaluation frameworks for accuracy, bias, and explainability

• Lead analysis of AI metrics, compliance trends, and risk signals to identify systemic gaps and inform roadmap decisions for tooling and automation. Build dashboards and automated reporting that support audits, exams, and executive visibility

• Serve as the connective tissue between Compliance, Engineering, Product, Legal, Security GRC, and Data and translating regulatory expectations into system logic that ships, while mentoring compliance analysts on AI tool usage, workflow design, and prompt development

Here’s what we're looking for:

• 5-7 years building compliance management systems, regulatory program infrastructure, or technical solutions in a regulated environment (payments, fintech, payroll, or compliance-heavy SaaS). You have taken evolving requirements and turned them into durable processes, controls, and operating systems that scale

• Hands-on experience leading AI or automation projects from concept through implementation, including human-in-the-loop workflows

• Comfortable using AI tools (Claude, ChatGPT, Cursor, or similar) for workflow design and debugging; familiar with agent orchestration, prompt engineering, and structured testing

• Strong cross-functional collaboration skills with a proven history working across Product, Engineering, Compliance, and Risk

• Demonstrated good judgment in ambiguous, high-stakes situations. You can make a call when the regulatory picture is not perfectly clear and explain your reasoning to stakeholders who are not compliance experts

• Strong data-driven reasoning skills. You are comfortable owning both operational metrics and using them to drive decisions, not just reporting on what happened, but identifying what to change

• You do not need to be a career compliance professional, but you do need to understand how to operationalize regulatory compliance through scalable compliance management systems

Our cash compensation amount for this role is $110,640/yr - $136,456/yr in Denver & most major metro locations, and $133,615/yr - $164,792/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

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The ideal candidate is an Elastic product expert (including but not limited to Agent Builder and Workflows), using the full power of the Elastic Stack to provide the 'brain' and 'memory' for our agentic ecosystem.

As the company behind the popular open-source projects , Elasticsearch, Kibana, Logstash, and Beats , we help people around the world do great things with their data.

The Elastic family unites employees across 40+ countries into one coherent team, while the broader community spans across over 100 countries.

Responsibilities

• Agentic Strategy & Design: Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes.

• Enterprise Grounding: Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion.

• AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.

• Scalable Infrastructure: Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents.

• Lifecycle Management: Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant.

• Technical Leadership: Act as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity.

• Documentation: Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes.

• Security: Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.

Requirements

• 3-5 years of work experience in a relevant field.

• Minimum 1 year experience building with the Elastic Stack.

• Knowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is critical.

• Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation.

• Agentic Frameworks: Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.

• Expertise in Enterprise Agentic & Workflow Platforms: Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents).

• Market Trend Integration: Proven ability to apply emerging market trends,such as Multi-Agent Orchestration and Model Context Protocol (MCP),to build high-impact, cost-optimized solutions that scale across the enterprise.

• Programming: Experience with Python or TypeScript for backend logic and agent orchestration.

• Cloud & Orchestration: Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment.

• Model Expertise: Hands-on experience with LLM providers.

Bonus Points

• Bachelor’s or Master’s degree in Computer Science or a related engineering field.

• Strong communication skills with the ability to translate business requirements into technical agent architectures.

• A commitment to Ethical AI and responsible development practices.

• Experience with containerization and orchestration (e.g., Docker, Kubernetes).

• Knowledge of DevOps practices for model deployment and automation.

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We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe.

The AI Applications Team You will have the opportunity to join as one of the founding members of this newly formed team that is dedicated to consolidating and rapidly scaling our successful bets so far, and grow with the team in our quest to accelerate Plaid's transformation into an AI-first company.

In this role you will lead projects that enable and scale our business with our largest AI customers and partners, starting with personal finance use cases and expanding into many others; examples include:

• Develop and evolve the preferred integration pattern for Plaid with AI providers - from API adaptations to building the official Plaid MCP Servers, and beyond

• Redefine how Plaid's consumer link experience embed into conversational interfaces in the most seamless way

• Architect the trust layer for the future of agentic commerce that will become the industry standard

Additionally you will be expected to scale and extend our existing successful bets on AI-powered customer experience; examples include:

• Make the next step-function improvement in our homegrown customer support agent

• Land our multi-turn and multi-agent system that powers a truly delightful experience for our customers; define how to scalably run offline evaluation for complex multi-turn open-ended tasks; research and prototype how Human-In-The-Loop - Reinforcement Learning (RLHF) can power an insights flywheel; pioneer the architecture for customer-specific long-term memory, etc.

• Extend our agentic system to support other critical parts of the customer journey, starting with areas with the highest ROI - top-of-funnel product recommendation, customer onboarding and risk diligence, customer activation and assistance for faster productionization, as well as upselling and cross-selling of Plaid products

You will have a front row seat to all the latest industry developments. Over time, with the skills and experience you develop and hone on this team, you can become an influential voice in defining where AI < Fintech will be heading longer term.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.

• Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features

• Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact

• Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches

• Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact

Requirements

• Experience building backend services and working with microservices or service-oriented architectures

• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences

• Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback - including but not limited to:

• Prompt engineering

• Fine-tuning

• Retrieval augmented generation (RAG)

• Semantic search

• Vector database and embedding models

• Agent orchestration framework

• Evaluation and monitoring framework of open-ended tasks

• Streaming and SSE

• Common UX and design patterns for GenAI-powered products

• Strong debugging and monitoring experience for production systems

• Ability to deeply understand customer and user needs through user research and rapid experimentation - be your own technical PM

• Ability to balance divergent thinking (exploring possibilities) with convergent thinking (evaluating feasibility), which is critical for driving 0 ->1 projects

• Extremely curious and passionate about working in GenAI applications space

Nice-to-Haves

• Experience training and/or serving ML models in production, or fine-tuning LLMs for domain-specific use cases

• Comfortable operating in privacy/PII-sensitive environments and applying compliance mitigations

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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.
• Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features
• Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact
• Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches
• Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact

Qualifications

• Experience building backend services and working with microservices or service-oriented architectures
• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences
• Strong software engineering fundamentals, including system design and API development
• Hands-on experience building and shipping LLM-powered products, iterating with real user feedback
• Practical experience with prompt engineering, fine-tuning, RAG, semantic search (vector databases and embeddings), agent orchestration frameworks, and evaluation/monitoring of open-ended tasks
• Experience building GenAI-powered product experiences, including streaming/SSE and common UX patterns
• Strong debugging and production monitoring experience
• Ability to deeply understand customer needs through user research and rapid experimentation; comfortable operating as a technical PM when needed
• Ability to balance divergent exploration with pragmatic execution, especially in 0 to 1 environments
• Deep curiosity and passion for building GenAI applications

Nice to Have

• Experience training and deploying ML models in production, including fine-tuning LLMs for domain-specific use cases
• Comfortable operating in privacy- and PII-sensitive environments, with experience applying appropriate compliance and data protection controls

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About the role:

Cresta's AI Agent team is building enterprise-grade AI Agents that can operate inside real-world contact center environments. A critical part of that mission is enabling our AI Agents to seamlessly integrate with customers' CCaaS platforms (Contact Center as a Service), including voice and digital channels , and to smoothly transition conversations between AI and human agents when needed.

This role is focused on building the backend systems that allow our AI Agents to:

• Integrate deeply with leading CCaaS platforms
• Participate in live customer conversations across voice and chat
• Maintain full conversation state and context
• Perform real-time actions within the CCaaS ecosystem
• Seamlessly hand off conversations to human agents , without losing context, history, or workflow state
• Support human agents with AI assistance after transfer

We are looking for strong backend engineers who want to work at the intersection of distributed systems, real-time communication, enterprise integrations, and AI Agent orchestration.

This is not a pure research role , it is about building production-grade infrastructure that enables AI Agents to operate reliably in mission-critical customer environments.

Why This Role Is Unique:

• AI + Real-Time Systems: Work on infrastructure that enables AI Agents to participate in live conversations at scale.
• Enterprise-Grade Integrations: Design robust integrations with major CCaaS platforms and customer systems.
• Human-AI Collaboration: Build the systems that make AI-to-human handoff seamless, contextual, and reliable.
• High-Impact Engineering: Your work directly determines how smoothly AI Agents operate in production environments.

If you’re a strong backend engineer who wants to apply your expertise to real-world AI systems operating inside complex enterprise ecosystems, this role offers that opportunity.

Responsibilities:

• Design and build scalable backend services that integrate Cresta’s AI Agents with customers’ CCaaS platforms.
• Architect systems that manage real-time conversation state, context propagation, and session lifecycle.
• Implement seamless AI-to-human handoff mechanisms, ensuring full context transfer and minimal disruption to the customer experience.
• Develop secure and reliable integrations with CCaaS APIs (voice, chat, messaging, routing, agent desktop, etc.).
• Collaborate closely with ML engineers and AI researchers to operationalize AI Agent capabilities in live environments.
• Ensure high availability, low latency, and strong observability for real-time conversation systems.
• Implement authentication, authorization, compliance, and enterprise security best practices across integrations.
• Drive improvements in reliability, performance, and scalability in production environments handling high interaction volumes

Qualifications We Value:

• Bachelor’s degree in Computer Science or related field.
• 5+ years of experience building scalable backend systems in production environments.
• Strong experience designing and maintaining robust APIs (REST, gRPC).
• Solid understanding of distributed systems and real-time communication architectures.
• Experience integrating with third-party enterprise platforms and APIs.
• Experience working with CCaaS platforms or contact center systems is a strong plus.
• Familiarity with AI Agents, Virtual Agents, or LLM-based systems is a plus.
• Experience with containerized environments (Kubernetes, Docker).
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Strong understanding of system reliability, observability, and security in enterprise environments.

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees
• PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

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Location

San Francisco; New York City

Employment Type

Full time

Location Type

On-site

Department

Data Science

Compensation

• $293K – $515K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Our B2B product organisation is building the systems that will accelerate and automate how companies operate using AI coworkers. Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and analytics that allow organisations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the centre of the future of work: defining how humans collaborate with AI systems across companies, workflows, and knowledge.

About the Role

We are looking for a product-focused Data Scientist to help shape the next generation of AI-powered enterprise products, including ChatGPT Enterprise and agentic automation systems.

This is not a traditional analytics role. You will work directly with product managers, engineers, and researchers to define how AI agents behave, how organisations adopt them, and how we measure their impact on work.

You’ll analyse how users interact with AI systems, inform product strategy, and help build the measurement frameworks that guide the future of enterprise AI.

In this role, you will:

• Partner closely with product, engineering, and research teams to shape AI-powered enterprise products

• Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption

• Analyse how organisations use AI tools and identify opportunities to improve product experience and business impact

• Drive insights around enterprise adoption, retention, and value realisation

• Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools

• Design experiments and evaluations that improve AI system performance and user outcomes

• Help define how companies operate with AI coworkers and automated workflows

What We’re Looking For

Must Have:

• Strong product analytics or data science experience

• Deep curiosity about AI systems and how they change how work gets done

• Ability to work closely with product and engineering teams in 0→1 product environments

• Strong analytical skills (experimentation, behavioural analysis, product metrics)

• Builder mindset — someone who wants to shape products, not just analyse them

Nice to Have:

• Experience with B2B SaaS or enterprise analytics

• Experience with developer platforms, APIs, or technical products

• Background in AI/ML systems, agent frameworks, or LLM-based products

• Systems thinking around how complex tools and workflows operate at scale

Who Thrives Here:

• AI-native — actively experimenting with and building with AI tools

• Product thinkers who want to shape the future of work

• Builders who enjoy early-stage ambiguity and 0→1 problems

• Operators who can work independently and drive large parts of a product area

Impact

You will help define:

• How organisations deploy and manage AI agents

• How AI transforms enterprise productivity

• The measurement systems behind AI-native companies

• This is an opportunity to help create the “Codex moment” for non-coding work — defining how businesses operate in an AI-first world.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

As a Software Engineer at Perplexity, you will be responsible for designing and implementing a highly reliable and scalable agent runtime, building secure sandboxed execution for agent actions and code, shipping unified interfaces for multiple model sizes and providers, and developing an evaluation platform for online and offline assessments, A/B tests, safety checks, and regression gates.

What you need

• 6+ years of industry experience building large scale systems or platforms.
• Experience building agent applications with tool calling, context engineering, or open connector integrations.
• Strong coding skills in one or more of: Python, Java, Go.

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What you'll do

You will work closely with Application Security and Red Team engineers, applying an attacker's mindset to AI systems while building scalable security testing, automation, and guardrails that meaningfully reduce risk.

• Perform security testing and reviews of AI-enabled applications, agents, and workflows, including architecture, design, and implementation analysis
• Identify and validate vulnerabilities in LLM-based systems such as data leakage, insecure tool use, authentication gaps, and abuse paths

What you need

• Strong background in application security, offensive security, or a combination of both
• Hands-on experience identifying and exploiting security weaknesses in modern applications and services

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