About the role 

The Senior Integration, API & Automation Engineer is a hands-on technical lead role responsible for shaping and executing Rubrik’s enterprise API, integration, and AI‑driven automation strategy.

Broadly, the role will focus on designing, building, and governing secure, scalable APIs and integrations between our core business platforms and third‑party systems (e.g., ERP, HCM, CRM, data platforms), while mentoring engineers and driving best practices across the organization. In addition, this role will help us embed AI capabilities (LLMs, Claude, decisioning services, intelligent workflows) into APIs and business processes to improve reliability, productivity, and insight.

You will work closely with senior business stakeholders, application owners, security, data, and IT teams to define API‑first, AI‑aware integration patterns and standards that deliver robust, secure, real‑time and batch integrations using REST APIs, webhooks, messaging, file‑based interfaces, and AI services.

This role will primarily leverage MuleSoft Anypoint Platform (or similar iPaaS) for API‑led connectivity and sits within the Enterprise Integrations & Intelligent Automations team as a key technical authority.

What you'll do

• Own the API and integration architecture and strategy for assigned domains, defining API‑led patterns (Experience, Process, and System APIs), reference architectures, and standards for how systems integrate across the enterprise.
• Design, build, and evolve RESTful APIs that expose well‑designed resources and operations to internal and external consumers, with clear contracts, documentation, and SLAs.
• Lead implementation of integrations between SaaS and on‑prem applications (e.g., NetSuite, Workday, Salesforce, Snowflake, ServiceNow), Finance, HR, Security, and GTM platforms, ensuring solutions are scalable, secure, resilient, and observable.
• Create data integration strategies for high volumes of data in transit, optimizing for performance, reliability, and cost (e.g., streaming vs. batch, push vs. pull APIs, caching, backoff strategies).
• Define and enforce API governance, including:
• Provide technical leadership to integration and API engineers, including solutioning, design reviews, code reviews, and mentoring of junior and contract engineers.
• Implement and manage REST/SOAP APIs, webhooks, and messaging interfaces from conceptual design through development, performance testing, deployment, and lifecycle management via an API gateway or iPaaS (e.g., MuleSoft Anypoint Platform).
• Architect robust data integrations for both real‑time and scheduled (batch) workloads using APIs, messaging, sFTP, and file‑based exchanges (JSON, XML, CSV), with well‑defined contracts, SLAs, and monitoring.
• Define non‑functional requirements (NFRs) and SLAs for APIs and integrations—availability, latency, throughput, error budgets, RTO/RPO—and ensure designs and implementations meet or exceed them.
• Drive observability and reliability for APIs and integrations by standardizing logging, tracing, metrics, dashboards, and alerting, and by creating operational runbooks for incident response and post‑incident reviews.

AI & Intelligent Automation Responsibilities

• Identify and prioritize AI opportunities within API and integration flows (e.g., data enrichment, anomaly detection, routing, summarization, classification, intent extraction).
• Define safe and governed AI usage within APIs and integrations, including:
• Clear input/output contracts for AI services
• Guardrails (prompt design, validation, constraints)
• Handling of sensitive data (PII/financial/HR data) in prompts and responses
• Monitoring for model performance and drift in production.
• Integrate with AI platforms and services (internal or external), including model APIs, vector stores, and feature stores, using strong API design and security practices.

Stakeholder, Security, and Platform Responsibilities

• Partner with security, compliance, and audit teams to ensure integrations, APIs, and AI services meet security, privacy, and regulatory requirements (e.g., SOX‑sensitive data flows, access control, encryption, audit trails).
• Lead technical discovery and solution design for new API, integration, and AI‑automation initiatives, working with product managers, application owners, and business stakeholders to shape requirements and translate them into well‑defined technical designs.
• Own vendor and platform technical relationships for integration technologies and key SaaS systems; understand vendor APIs and change roadmaps, anticipate the impact of deprecations, and coordinate upgrades and migrations.
• Oversee CI/CD practices for APIs, integrations, and AI services, including branching and release strategies, automated testing (unit, integration, regression), and environment configuration management for Dev/QA/UAT/Prod.
• Champion reuse and standardization by building and curating shared assets such as:
• Generic APIs (e.g., email, JIRA, logging, AI utility services)
• Common connectors and API client libraries
• Templates and integration catalogs
  and ensuring they are adopted broadly.
• Participate in and improve KTLO/on‑call rotations for critical APIs, integrations, and AI services, using incident data to drive structural improvements, technical debt reduction, and increased reliability.
• Communicate clearly with technical and non‑technical audiences, producing architecture diagrams, decision records, and documentation that make complex API, integration, and AI solutions easy to understand, operate, and evolve.

Experience you'll need

• Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
  • 10+ years of overall software/integration engineering experience, with 8+ years focused on API and enterprise integrations.
  • 4+ years in a senior/lead/architect capacity, owning API and integration designs, patterns, and technical decisions for complex cross‑system and enterprise application solutions.
  • Experience designing and delivering AI‑enabled features or workflows as part of production systems (e.g., integrating with LLM or ML APIs, AI‑based decisioning, or intelligent automation).

Technical Skills – API Engineering

• Deep expertise in RESTful API design and implementation, including:
• Resource modeling, URI design, and standard HTTP methods
• API‑first/contract‑first design (RAML/OpenAPI)
• Pagination, filtering, sorting, and partial responses
• Versioning strategies (URL, header, content negotiation)
• Idempotency and robust error handling patterns.
• Strong experience building secure, resilient, and scalable APIs, including:
• API gateways (e.g., MuleSoft, Apigee, Kong, AWS API Gateway)
• Rate limiting, throttling, caching, and circuit‑breaker patterns
• Timeout, retry, and backoff strategies.
• Solid understanding of webhooks and event‑driven APIs, including subscription management, signature validation, replay protection, and idempotent consumers.
• Hands-on experience with API client development and integration patterns (SDKs, service‑to‑service communication, backend‑for‑frontend, composite APIs).

Technical Skills – Integration & Platforms

• Strong experience with MuleSoft Anypoint Platform (or equivalent iPaaS), including API Manager, Runtime Manager/CloudHub, Anypoint Exchange, and design/deployment best practices.
• Solid understanding of SOAP services, messaging patterns (pub/sub, event‑driven integrations), and when to apply each.
• Proficiency with integration data formats and transformation (JSON, XML, CSV, mapping, enrichment, aggregation, canonical models).
• Strong database and data modeling skills, including SQL and working with relational databases (e.g., Postgres, SQL Server, Oracle) in integration scenarios.
• Experience designing and implementing secure integrations, including:
• OAuth 2.0/OpenID Connect
• API keys and mutual TLS
• Role/permission models and fine‑grained authorization
• Secrets management (e.g., HashiCorp Vault, cloud KMS).
• Hands‑on experience with CI/CD pipelines and Git‑based workflows, including automated testing, static analysis, deployment automation, and environment configuration for API and integration services.
• Demonstrated experience integrating with several of the following: NetSuite, Workday, Salesforce, Snowflake, ServiceNow, Coupa, DocuSign, ChromeRiver, Marketo, identity/IAM platforms, external APIs, and internal APIs.
• Practical experience working with AI/ML or LLM APIs (e.g., OpenAI, Azure OpenAI, Vertex AI, Bedrock, or internal model APIs), including:
• Designing API requests and responses for AI‑backed features
• Prompt engineering and response validation
• Handling rate limits, retries, timeouts, and partial failures within integration flows.
• Familiarity with event‑driven and streaming architectures (e.g., Kafka, EventBridge, Event Hubs) and how to combine them with AI services for near real‑time decisioning and automation.

Soft Skills

• Proven ability to lead without direct authority, influencing cross‑functional teams and driving technical decisions through clarity and data rather than hierarchy.
• Strong architectural thinking and problem‑solving skills, including the ability to decompose complex business processes into robust API, integration, and AI‑enabled designs.
• Excellent communication and documentation skills, comfortable presenting solutions and trade‑offs to engineers, managers, and senior business stakeholders.
• Experience working in agile environments, collaborating closely with product owners, scrum teams, and distributed stakeholders across time zones.
• Bias toward automation, standardization, and continuous improvement, with a pragmatic approach to balancing speed, risk, and long‑term maintainability.

Preferred Qualifications

• Professional MuleSoft certifications (e.g., MuleSoft Certified Integration Architect, MuleSoft Certified Developer) or equivalent certifications from other integration platforms.
• Experience designing and operating public or partner-facing APIs with clear productization (API lifecycle, developer experience, SLAs, and commercial considerations).
• Experience designing and operating integrations in regulated or security‑sensitive environments (e.g., SOX, FedRAMP, customer‑facing APIs) with a strong emphasis on auditability and change control.
• Experience with event‑driven and streaming platforms (e.g., Kafka, AWS EventBridge, Azure Event Hubs) and their role in modern API and integration architectures.
• Exposure to automation/workflow platforms (e.g., Zapier, Workato, low‑code tools) and how they complement enterprise integration layers and AI‑based automation.
• Experience building and maintaining API and integration runbooks, catalogs, and governance processes, and contributing to enterprise architecture forums or design reviews.
• Experience with observability stacks (e.g., Datadog, Splunk, New Relic, OpenTelemetry) for monitoring APIs, integrations, and AI services in production.
• Familiarity with data and AI governance concepts (e.g., data classification, lineage, model governance, responsible AI practices) and how they apply within API, integration, and automation patterns.

About the Role

We are looking for a Senior Staff Software Engineer to join the Veeam Data Cloud (VDC) engineering team at its highest individual contributor tier. In this role, you will shape the long-term technical direction of VDC, operating with organization-wide scope and influence. You will define architectural standards, resolve the most complex and ambiguous engineering challenges, and mentor a generation of Staff and senior engineers.

This is a rare opportunity to be a founding technical voice on greenfield projects — designing next-generation data protection services that will be deployed and relied upon worldwide. You will be a trusted partner to engineering leadership, product management, and cross-functional stakeholders, bridging technical excellence with business strategy.

What You’ll Do

• Technical Strategy & Architecture

  • Own and drive the multi-year technical roadmap for the Veeam Data Cloud platform, aligning engineering decisions with company strategy.
  • Define, communicate, and enforce architectural standards, design patterns, and engineering principles across multiple teams and product areas.
  • Lead architectural reviews for major systems, proactively identifying structural risks and establishing long-term scalability and resilience frameworks.
  • Author foundational technical design documents (RFCs, ADRs) that serve as the engineering blueprint for the broader organization.

  Engineering Execution & Excellence

  • Personally contribute to the most critical, highest-complexity engineering challenges across the organization — including those that span team boundaries.
  • Design and develop highly reliable, planet-scale SaaS microservices integrated with managed cloud services (Azure, AWS, GCP) using Golang and modern cloud-native patterns.
  • Establish and champion engineering quality standards: testing philosophy, observability, performance benchmarks, security posture, and release reliability.
  • Drive the adoption of emerging engineering practices — including AI-powered developer tooling, automated code generation, and LLM-assisted testing and debugging.

  Organizational Leadership & Influence

  • Serve as the primary technical escalation point across engineering — resolving the most ambiguous, cross-cutting problems that no individual team can own alone.
  • Partner with engineering managers and directors to set execution standards, unblock delivery, and ensure timely, predictable outcomes across multiple teams.
  • Represent engineering in cross-functional leadership forums (product, security, infrastructure, finance) and act as a decision-maker on technical trade-offs with business impact.
  • Drive the organization-wide engineering culture: nurturing psychological safety, technical curiosity, and a bias toward measurable outcomes.

  Mentorship & Talent Development

  • Provide deep technical mentorship to Staff, Senior, and mid-level engineers, accelerating their growth and expanding team capability.
  • Lead structured technical coaching, design review sessions, and architectural war-games to sharpen engineering judgment across the organization.
  • Identify, recruit, and help retain top engineering talent; actively shape the interview process and hiring bar for senior roles.

  Operational Ownership

  • Participate in on-call rotation and lead incident response for critical production events, driving root cause analysis and systematic resolution.
  • Own post-incident reviews and embed learnings into platform improvements and operational runbooks.

What You’ll Bring

• 15+ years of progressive software engineering experience, with a proven track record as a principal-level individual contributor.
• Demonstrated expertise designing, building, and operating SaaS or large-scale cloud services on Azure, AWS, or GCP at organization-defining scale.
• Deep expertise in Go (Golang) and/or other systems-grade modern languages (C#, Java, Rust, Scala); polyglot mindset with language-agnostic design thinking.
• Mastery of distributed systems: event-driven architecture, eventual consistency, high-availability design, and fault-tolerant microservices.
• Expert-level command of container orchestration (Kubernetes, Docker) and cloud-native infrastructure patterns.
• Exceptional communication and leadership skills — able to drive clarity and alignment across engineering, product, and executive audiences.
• Strong computer science fundamentals: data structures, algorithms, concurrency, and systems design.
• A track record of delivering greenfield projects from zero to production at scale, with full ownership of quality, security, and reliability.

Bonus Skills

• Experience leveraging AI capabilities (LLMs, generative AI, co-pilot tooling) in product development workflows — either as a feature builder or as a force-multiplier for engineering productivity. 
• Hands-on experience building AI-powered features into SaaS products: integrating model APIs, designing prompt pipelines, or building AI-assisted developer experiences.
• Background in data protection, backup, disaster recovery, or storage infrastructure.
• Experience in platform or infrastructure engineering serving other engineering teams as internal customers.

What You’ll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application. 

#LI-KP1

About the Role

We are looking for a Senior Staff Software Engineer to join the Veeam Data Cloud (VDC) engineering team at its highest individual contributor tier. In this role, you will shape the long-term technical direction of VDC, operating with organization-wide scope and influence. You will define architectural standards, resolve the most complex and ambiguous engineering challenges, and mentor a generation of Staff and senior engineers.

This is a rare opportunity to be a founding technical voice on greenfield projects — designing next-generation data protection services that will be deployed and relied upon worldwide. You will be a trusted partner to engineering leadership, product management, and cross-functional stakeholders, bridging technical excellence with business strategy.

What You’ll Do

• Technical Strategy & Architecture

  • Own and drive the multi-year technical roadmap for the Veeam Data Cloud platform, aligning engineering decisions with company strategy.
  • Define, communicate, and enforce architectural standards, design patterns, and engineering principles across multiple teams and product areas.
  • Lead architectural reviews for major systems, proactively identifying structural risks and establishing long-term scalability and resilience frameworks.
  • Author foundational technical design documents (RFCs, ADRs) that serve as the engineering blueprint for the broader organization.

  Engineering Execution & Excellence

  • Personally contribute to the most critical, highest-complexity engineering challenges across the organization — including those that span team boundaries.
  • Design and develop highly reliable, planet-scale SaaS microservices integrated with managed cloud services (Azure, AWS, GCP) using Golang and modern cloud-native patterns.
  • Establish and champion engineering quality standards: testing philosophy, observability, performance benchmarks, security posture, and release reliability.
  • Drive the adoption of emerging engineering practices — including AI-powered developer tooling, automated code generation, and LLM-assisted testing and debugging.

  Organizational Leadership & Influence

  • Serve as the primary technical escalation point across engineering — resolving the most ambiguous, cross-cutting problems that no individual team can own alone.
  • Partner with engineering managers and directors to set execution standards, unblock delivery, and ensure timely, predictable outcomes across multiple teams.
  • Represent engineering in cross-functional leadership forums (product, security, infrastructure, finance) and act as a decision-maker on technical trade-offs with business impact.
  • Drive the organization-wide engineering culture: nurturing psychological safety, technical curiosity, and a bias toward measurable outcomes.

  Mentorship & Talent Development

  • Provide deep technical mentorship to Staff, Senior, and mid-level engineers, accelerating their growth and expanding team capability.
  • Lead structured technical coaching, design review sessions, and architectural war-games to sharpen engineering judgment across the organization.
  • Identify, recruit, and help retain top engineering talent; actively shape the interview process and hiring bar for senior roles.

  Operational Ownership

  • Participate in on-call rotation and lead incident response for critical production events, driving root cause analysis and systematic resolution.
  • Own post-incident reviews and embed learnings into platform improvements and operational runbooks.

What You’ll Bring

• 15+ years of progressive software engineering experience, with a proven track record as a principal-level individual contributor.
• Demonstrated expertise designing, building, and operating SaaS or large-scale cloud services on Azure, AWS, or GCP at organization-defining scale.
• Deep expertise in Go (Golang) and/or other systems-grade modern languages (C#, Java, Rust, Scala); polyglot mindset with language-agnostic design thinking.
• Mastery of distributed systems: event-driven architecture, eventual consistency, high-availability design, and fault-tolerant microservices.
• Expert-level command of container orchestration (Kubernetes, Docker) and cloud-native infrastructure patterns.
• Exceptional communication and leadership skills — able to drive clarity and alignment across engineering, product, and executive audiences.
• Strong computer science fundamentals: data structures, algorithms, concurrency, and systems design.
• A track record of delivering greenfield projects from zero to production at scale, with full ownership of quality, security, and reliability.

Bonus Skills

• Experience leveraging AI capabilities (LLMs, generative AI, co-pilot tooling) in product development workflows — either as a feature builder or as a force-multiplier for engineering productivity. 
• Hands-on experience building AI-powered features into SaaS products: integrating model APIs, designing prompt pipelines, or building AI-assisted developer experiences.
• Background in data protection, backup, disaster recovery, or storage infrastructure.
• Experience in platform or infrastructure engineering serving other engineering teams as internal customers.

What You’ll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application. 

#LI-KP1

The Opportunity at Komodo Health

Team

The Data Migration team is responsible for migrating client data from legacy systems and third-party platforms into Salesforce-based products for pharmaceutical and life sciences clients. The team manages end-to-end migration lifecycles—from source data analysis and field mapping through transformation development, QA framework creation, validation, and production deployment—across multiple concurrent client engagements. Each project operates on dedicated cloud infrastructure with SQL-based ETL pipelines and integration tooling.

Mission

This role is responsible for executing the technical build and validation of data migration pipelines under the direction of a Data Migration Architect. The DME translates field mappings and transformation specifications into reliable, repeatable SQL-based processes, develops and maintains the QA framework, loads data into target Salesforce environments, and validates output against business requirements. This person will work primarily with the Data Migration Architect, who gathers requirements and defines mappings; the DME's focus is on accurate, independent execution of the technical build. Exposure to client calls and cross-functional teams is available but is not a core expectation of the role.

Looking back on your first 12 months at Komodo Health, you will have…

End-to-End Migration Delivery: Successfully deliver end-to-end data migrations for pharmaceutical clients, managing the journey from initial ingestion through to production deployment with high data integrity.

Hierarchical Scope Implementation: Accurately implement complex hierarchical inclusion logic, ensuring that when a specific record is in-scope, all required upstream and downstream related records are properly filtered and included.

Advanced Transformation Engineering: Develop sophisticated, non-linear SQL transformations, including record synthesis (creating single target records from multiple source objects) and multi-field derivation logic aligned to documented business rules.

QA Framework Development & Execution: Build, enhance, and execute a robust SQL-based validation framework, including unit tests and “Expected vs. Actual” comparison scripts, verifying that every field transformation, data type, referential integrity, and edge case is properly validated.

You will accomplish these outcomes through the following responsibilities…

• (35%) Transformation Pipeline Engineering: Build and maintain SQL-based transformation pipelines that ingest raw source files, apply complex business logic, execute hierarchical and recursive filtering, and stage records for loading into target Salesforce environments using ETL/integration tooling. Includes non-linear mapping and record synthesis across multiple source objects.
• (30%) QA Engineering & Validation Automation: Develop, maintain, and improve the SQL-based QA framework. Write unit tests and automated validation scripts to verify data types, referential integrity, null handling, deduplication logic, and edge cases. Continuously enhance the framework to reduce manual validation and ensure alignment with defined mappings.
• (15%) Data Profiling & Technical Impact Analysis: Conduct deep profiling of source data extracts to identify quality gaps, structural inconsistencies, and the downstream impact of scope rules and business logic on multi-level relationships.
• (10%) Migration Integrity & Troubleshooting: Investigate and resolve transformation defects and load errors, including missing foreign keys, duplicate records, undocumented source-system behaviors, and midstream logic gaps.
• (10%) Collaboration, Documentation & Platform Learning: Partner closely with the Data Migration Architect in technical design reviews. Maintain clear documentation of transformation logic, known data patterns, environment configurations, and testing outcomes. Develop deep familiarity with Mavens product suite and Salesforce Life Science Cloud objects, fields, and relationships to ensure accurate execution of transformations.

What you bring to Komodo Health:

• 2+ Years of Hands-On Data Migration or ETL Experience: Experience designing and executing SQL-based solutions for data extraction, transformation, validation, and loading across systems.
  
  
• Strong SQL Proficiency: Comfortable writing complex queries (multi-join, CTEs, aggregations), stored procedures, and field-level data validation scripts in SQL Server or a comparable relational database.
  
  
• ETL / Pipeline Orchestration Experience: Experience working with at least one ETL or integration platform (e.g., SSIS, Talend, Informatica, Azure Data Factory, or similar) to orchestrate workflows and manage repeatable data pipelines.
  
  
• QA & Data Validation Mindset: Demonstrated experience building or executing structured validation logic (e.g., unit tests, reconciliation scripts, “Expected vs. Actual” comparisons) to verify transformation correctness and data integrity.
  
  
• AI-Assisted Development Fluency: Ability to effectively use AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate SQL and scripting work while maintaining ownership, accuracy, and understanding of generated code.
  
  
• Code Clarity & Execution Documentation: Writes well-structured, well-commented SQL and maintains clear validation outputs and execution notes to ensure transformation logic is transparent, testable, and repeatable.
  
  
• Problem-Solving in Ambiguous Data Environments: Ability to navigate complex data challenges such as missing foreign keys, mixed-tenant records, inconsistent formats, or undocumented source system behaviors without constant direction.
  
  

Additional skills and experience we’d prioritize (nice to have)…

• Salesforce Platform Experience: Understanding of Salesforce objects, relationships, API limits, bulk data loading tools, and trigger/automation behavior during migrations.
• Regulated Industry Experience: Experience working with data in pharmaceuticals, life sciences, or healthcare environments, including sensitivity to compliance, data standards, and auditability requirements.
• Cloud Infrastructure Familiarity: Exposure to AWS environments (e.g., EC2) or Windows Server environments used to host dedicated migration infrastructure.
• Scripting & Automation: Experience with PowerShell or similar scripting languages for API communication, bulk operations, or migration automation.

About the Role

As a Conversational Design, Demo Engineer you will play a critical role in supporting pre-sales engagements through the design, analysis, and demonstration of Cresta’s AI capabilities. You’ll partner closely with Solution Engineers and Demo Engineering to craft compelling, high-quality conversational experiences that showcase Cresta’s value to prospective and existing customers.

Your work will focus on establishing clear business cases for net new and upsell opportunities, using conversation design and data-driven assessments to highlight measurable impact. You will leverage your understanding of different contact center verticals, such as financial services, insurance, telecommunications, retail and much more to tailor designs that resonate with each customer’s unique environment and goals.

This role requires close collaboration across Machine Learning, Product, Data Science, Customer Success, and Sales Engineering teams to ensure every customer-facing experience reflects the best of Cresta’s AI product suite.

Responsibilities:

• Collaborate closely with Solution Engineers and Demo Engineering to design and deliver high-impact, AI-driven demos, Proofs of Concept (POCs), and Conversation Assessments that clearly articulate Cresta’s value in real-world customer scenarios.
• Develop and generate high-quality synthetic conversations and AI model behaviors that realistically simulate customer interactions and bring priority use cases to life in pre-sales environments.
• Conduct in-depth Conversation Assessments and data analyses to uncover opportunity areas, quantify measurable impact, and build compelling business cases for net-new logo acquisition and upsell expansion.
• Continuously enhance demo environments by strengthening QA/QM frameworks, reporting layers, behavioral configurations, intent mining, metadata generation, and dashboard development to ensure accuracy, realism, and actionable insight.
• Design dashboards that tell a compelling business story. Be meticulous in defining metadata layers and required attributes to make demo environments feel authentic and industry-specific 
• Pro in Establishing structured Gen AI frameworks for e.g. complaint detection, customer experience measurement, repeat call analysis, and other traditionally subjective evaluation areas using Generative AI best practices. Develop scalable methodologies that move beyond keyword-based logic toward AI-driven contextual understanding.
• Lead the design of QA automation frameworks that maximize projection and coverage through a combination of GenAI capabilities and advanced keyword features, reducing subjectivity while increasing consistency, accuracy, and scalability.
• Build cross-vertical expertise (e.g., insurance, banking, telecom, retail, hospitality) and adapt tone, workflows, and interaction strategies to reflect each industry’s operational nuances and KPIs.
• Strategize and design scalable demo accounts that can be provisioned as sandbox environments for clients. Own end-to-end maintenance, optimization, and governance of these accounts to ensure readiness and reliability.Develop structured GTM templates and reusable demo narratives for Solution Engineers aligned to key use cases, enabling consistent and compelling storytelling during customer engagements.
• Design and deploy AI Agent experiences using flow-based, prompt-based, and hybrid architectures across both voice and chat channels.
• Contribute forward-thinking ideas on product scalability, feature evolution, and competitive differentiation. Analyze competitor approaches and proactively recommend ways to outpace the market.Challenge the status quo by introducing innovative, scalable processes and frameworks that improve efficiency, repeatability, and demo impact.
• Support and enhance Cresta’s Opera Enablement Program, empowering customers to independently design, build, test, and QA their own AI models within structured best-practice frameworks

Qualifications we Value:

• Strong alignment with Cresta’s culture and values — driven by a genuine desire to make people’s lives easier, even in fast-paced and high-pressure environments. Demonstrates resilience, positivity, and ownership, with the ability to maintain energy and focus when workloads are demanding. Brings a growth mindset, remains coachable, and continuously seeks new ideas to improve collaboration, team dynamics, and collective progression
• Deep understanding of contact center operations, performance metrics, and workflows across industries such as financial services, insurance, retail, and telecommunications. Clear awareness of the ongoing market shifts transforming contact centers — including AI adoption, automation, agent augmentation, omnichannel engagement, and operational efficiency mandates.
• Strong perspective on evolving contact center technologies and the tools agents use daily. Ability to think from both the agent and end-customer viewpoint, identifying how conversational intelligence and AI agents can simplify workflows, reduce friction, and improve overall experience. Prior hands-on contact center exposure is highly valued.
• Knowledge of industry-specific challenges and structural changes impacting contact center verticals today, and a clear understanding of how conversational AI and AI agents can streamline operations, improve compliance, drive retention, and enhance service quality.
• Experience collaborating cross-functionally with Solution Engineers, Sales, and Product teams in pre-sales, demo, or POC-driven environments.
• Minimum 3+ years of experience in conversational design, including building bots, virtual agents, AI-driven workflows, or conversation analytics solutions.
• Fluency in a second language is a plus.

Compensation at Cresta 

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

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 

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

• Timing Convergence Leadership: Drive full-chip SOC timing closure across all corners and modes (func, shift, capture, etc.).
• Cross-Functional Coordination: Partner with Architecture to validate timing feasibility, RTL to optimize logic structures, and DFT to streamline test-mode timing.
• Left-Shift Strategy: Proactively identify and resolve structural timing issues, congestion, and high-latency paths early in the RTL/Synthesis phase to ensure predictable physical design execution.
• Advanced Analysis: Perform complex timing tasks including CPPR/CRPR analysis, NoC (Network-on-Chip) timing, and constraint validation (SDC).
• Automation & Agility: Architect and build sophisticated automation utilities (Tcl, Python, Perl) to accelerate timing sign-off, reduce manual audits, and improve schedule agility.
• PPA Optimization: Drive best-in-class PPA by guiding physical design teams on floorplanning, clock tree synthesis (CTS) strategies, and placement optimizations.

• Experience: 9 to 14 years of hands-on experience in STA and Timing Closure on advanced process nodes (7nm, 5nm, or below).
• Critical Thinking: Proven ability to debug complex timing violations, identify root causes (e.g., data-to-clock skew, crosstalk), and propose architectural or physical solutions.
• Technical Mastery: * Expertise in industry-standard sign-off tools (e.g., PrimeTime, Tempus). Preferable Tempus tool.
• Deep understanding of Multi-Mode Multi-Corner (MMMC) challenges and Hierarchical vs. Flat timing closure.
• Proficiency in SDC/CDC constraints.
• Soft Skills: Strong leadership presence with the ability to influence cross-functional teams and drive execution in a fast-paced environment.
• Education: B.Tech/M.Tech in Electrical/Electronics Engineering or a related field.

Join our forward-thinking team as a Network Engineer, where you will play a key role in designing, implementing, and supporting high-performance, low-latency network infrastructure.
At IMC, the Trading Infrastructure team is responsible for the WAN, LANs, and all low-latency connectivity to trading venues. You will work closely with Systems Engineers, internal teams, and external partners to deliver best-in-class solutions that support our trading business and help evolve our infrastructure to meet the demands of a dynamic industry.

Your Core Responsibilities:

• Design, implement and support the networking infrastructure. Key areas include Low-latency networking, Unicast and Multicast routing, OSPF, BGP, PIM SM, as well as things like QoS, STP, NAT, protocol tuning, etc.
• Monitor, guard and analyze the proper functioning of our network infrastructure. Take adaptive, retentive and corrective measures and perform structural maintenance.
• Proactively improve our infrastructure by contributing scripts and code to our automation efforts (e.g. Bash, Python).
• Accurately create and maintain documentation detailing the implemented network components, as well as relevant procedures and other documentation.
• Responsibility for our IT security related platforms. Key areas include Palo Alto firewalls, VPNs, Security policies, etc.
• Work flexible hours. We are proud of the uptime of the trading environment, so every now and then you will be working outside of regular business hours to apply critical changes. This could be from your desk, your couch at home or also inside of one of our datacenters abroad.
• Liaise with external vendors, exchanges and providers to explore new technology solutions, implement new services or troubleshoot problems.

Your Skills and Experience:

• 5+ years of experience as a Network Engineer, with a passion for all aspects of networking
• Proven ability to design, implement, and support high-performance networks
• Strong appetite for accuracy and willingness to go beyond standard textbook networking concepts
• Collaborative mindset with experience working closely across cross-functional teams
• Ability to motivate and encourage peers while maintaining a high technical standard
• Excellent verbal and written communication skills, including the ability to explain technical topics to both technical and non-technical stakeholders